Amazon Web Services (AWS), an Amazon.com company and Salesforce, has announced a significant expansion of their global strategic partnership that will make it easy for customers to use the full set of Salesforce and AWS capabilities together to quickly build and deploy powerful new business applications that accelerate digital transformation.

The partnership will drive customer value through new and enhanced unification between AWS and Salesforce products. Developers will now be able to build and launch custom applications that extend the power of both platforms by connecting Salesforce data and workflows natively into their solutions running on AWS and make it easy for Salesforce developers to integrate AWS data and workflows into their Salesforce applications.

Salesforce will also embed AWS services for voice, video, artificial intelligence (AI) and machine learning (ML) directly in new applications for sales, service, and industry vertical use cases. With these new offerings, customers can purchase out-of-the-box solutions directly from Salesforce and then consume the integrated AWS services on a pay-as-you-go basis.

“For more than five years, our customers have benefitted from a tight relationship between AWS and Salesforce. Now, we are taking the partnership to the next level by integrating our offerings so developers using both AWS and Salesforce can build unified applications much faster and simpler than ever before,” said Andy Jassy, CEO, Amazon Web Services.

“With this partnership, we are significantly simplifying developers’ lives and empowering them to develop applications however they want, from wherever they want globally, at any scale,” added Jassy.

“This is a milestone partnership for the technology industry, and one that will enable our customers to experience an even more powerful Salesforce Customer 360 and achieve a new level of success in their business. With a more strongly unified Salesforce and AWS platform, our customers around the world can create a single source of truth across sales, service, marketing, and commerce, and achieve success from anywhere,” said Marc Benioff, Chair and CEO, Salesforce.

A thorough investigative guide to assess multiple market developments in “Global SaaS Cloud Computing Market” has been recently compiled in the growing repository. The report is a reliable guide to encourage thought proficient business scenario assessment, complete with dynamic segment profiling, key player mapping as well as regional development guide to maneuver high efficiency. The various categories of the global SaaS Cloud Computing market have been figuratively discussed under distinct categories comprising of essential market elements such as market definition, product categories and their subsequent applications along with market specificities, cost structures and material details such as their source and origin are all well compiled in this explicit research study on global SaaS Cloud Computing market.

The report entitled SaaS Cloud Computing market also gives a detailed idea of various technologies used by the manufacturers and industry experts to enhance the technological intervention in this market. An in-depth study in terms of production, market revenue share and price is also a major factor of focus in this report. The company profile section also focuses on companies planning expansions. This can be very well studies through regional segmentation as all the key market players play an important role in uplifting the region they operate in. Furthermore, the report also gives the factors that might hamper the market growth over the forecast period. The detailed report on SaaS Cloud Computing market gives its readers a summary of the market movements and helps them to analyze all the other factors that can affect the market.

Further in the report, readers are also offered with versatile detailing of overall competition assessment, complete with decisive details of key competitor profiles along with comprehensive details of other core market participants. Relevant details on elaborate financial data, core business developments and proficient strategies, along with recent events and associated developments have all been minutely discussed in the report. Company mapping of the global SaaS Cloud Computing market is an indispensable report compilation, poised to encourage actionable business deductions. Vital details on market share, revenue streams, barrier assessment and geographical versatility have all been meticulously highlighted in the report. Firsthand information offered in the report are essential to encourage lucrative business decision making amongst established players and other new-age aspirants seeking stability in global SaaS Cloud Computing market.

TOP COMPANIES PROFILED:
Microsoft
Splunk
Adobe
Intuit
ServiceNow
Salesforce
Atlassian
Shopify
Zoom
Workday
Veeva
Datadog
Slack
Twilio

This critically compiled market development synopsis reveals that the global SaaS Cloud Computing market is widely segmented across vivid segmentation comprising product and service type, followed by applications and end-use dimensions. Additional details on geographical developments have also been pinned in the report to encourage skilled deductions and eventual business deliverable. This versatile research report is poised to offer a highly granular version of the market evaluating market performance across product segments and multi-functional applications. Such scalable information offered in the report is apt in inculcating growth proficient business discretion based on the profitability quotient of the segments. This information profile is elementary in rendering crucial business decisions through the forecast span, 2020-2026.

SEGMENTED BY PRODUCT TYPE:
Private Clouds
Public Clouds
Hybrid Clouds

strong SEGMENTED BY APPLICATION TYPE:
Business
HR
Information Management

The research study can answer the following Key questions:
• What are the prominent factors driving the SaaS Cloud Computing Market across different regions?
• What will be the progress rate of the SaaS Cloud Computing Market for the conjecture period 2020-2026?
• Who are the major vendors dominating the SaaS Cloud Computing industry and what are their winning strategies?
• What are the challenges faced by the SaaS Cloud Computing Market?
• What will be the market scope for the estimated period?
• What are the major trends shaping the expansion of the industry in the coming years?

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The Latest Cloud Computing market research report focuses on a comprehensive understanding of the global market segment, as well as the economic trends of the leading producers and industry statistics. The study also includes expert advice to assist clients in developing their implementation policies and making responsible decisions. This research report examines historical data and key trends discovered to determine the major factors influencing the global Cloud Computing industry’s development.

The report provides details about this industry in terms of a specified evaluation and in- depth assessment of this business. The Cloud Computing market is appropriately bifurcated into segments, according to the report. An overview of the industry with regards to the market size in terms of renumeration and volume aspects, alongside the current Cloud Computing market scenario is inculcated in the report.

Most of the businesses are facing a growing litany of business-critical concerns related to the coronavirus outbreak, including supply chain disruptions, a risk of a recession, and a potential drop in consumer spending. All these scenarios will play out differently across various regions and industries, making accurate and timely market research more essential than ever.

The study presents a brief related to the topographical spectrum of this vertical along with the firms that have earned a significant position across the marketplace.

An overview of the Cloud Computing market scope:

An overview of the competitive landscape
A thorough analysis of the regional expanse
An outline of the market segmentation
Synopsis of the competitive landscape:

The Cloud Computing market report consists of brief analysis of the competitive terrain of this industry.
The report specifies an analysis of the competitive scope of the terrain. According to the report, the competitive reach of the Cloud Computing market spans the companies such as Amazon Web Services , Vmware , Microsoft Azure , Aliyun , Google Cloud Platform , IBM , SAP , Salesforce , Oracle , Rackspace , DELL and EMC.
Data related to the industry participant’s current share in the market, production sites, area served, and more is inculcated in the report.
Information about profiles of the companies alongside the data relate to their profit margins and models.
Information about the regional expanse:

The report divides the regional spectrum of this industry extensively. According to the report, the Cloud Computing market has formed its stance spanning the regions of United States, China, Europe, Japan, Southeast Asia & India.
Details regarding the industry share of these regions is mentioned in the report. Additionally, information about the growth opportunities for the players with their base in these regions have been specified.
The predicted growth rate to be registered by every geography over the predicted time period is specified in the report.
A brief of the market segmentation:

The Cloud Computing market report presents the segmentation of this vertical with the right precision.
The product expanse of the Cloud Computing market is split into Infrastructure as a service (IaaS) , Platform as a Service (PaaS) and Software as a Service (SaaS whereas the application landscape of the Cloud Computing market is segmented into Government , Small and Medium sized enterprises and Large enterprises.
Information regarding industry share accrued by every product segment, along with the market value in the industry is provided in the report.
Details with regards to the production growth are also inculcated in the report.
Details regarding market share with regards to application spectrum acquired by every application division is defined in the report.
Data related to the product consumption of every application as well as the growth rate of each application segment is likely to be registered over the predicted timeframe.

Cloud Computing Market 2021-2026: Key Highlights:

Examination of the global Cloud Computing market size by value and size.
To accurately calculate the market segments, consumption, and other dynamic factors of the various units of the market.
Determination of the key dynamics of the market.
To highpoint key trends in the market in terms of manufacturing, revenue and sales.
To summarize the top players of Global Cloud Computing industry and show how they compete in the industry.
Study of industry procedures and costs, product pricing and various developments associated with them.
To showcase the performance of different regions and countries in the Global Cloud Computing market.
Key Answers in the Report

Possible users of this report in the global Cloud Computing market.
Effective strategy formulation by end-users.
Product and services leaving a lasting influence on the global Cloud Computing market.
Growth factors are likely to attract the attention of market players.
Challenges to the expansion of the market.
Product or service offering the most revenue.
Recent developments influencing the global Cloud Computing market.
Innovations are likely to positively impact the market.
Enlisting micro and macro factors according to geography.
Disruptions caused by Covid-19 to the supply chain.

The Cloud Computing in K-12 market report is intended to provide a 360-degree view of the market in terms of advanced technology, key developments, drivers, restraints, and future trends and analyze the impact of these trends on the market in the short, medium term. and long term in the forecast period. Additionally, the report covers profiling the key players with detailed SWOT analysis, financial facts, and key product/service developments over forecast period.

The Cloud Computing in K-12 market report is a comprehensive documentation of the prevalent industry trends and aims to educate the readers about competitive scenario and regional business dynamics. It leverages the expert verbatim to warn about challenges dormant in the industry, while providing insights about the profitable opportunities across various market segments. Moreover, the study entails numerous scenarios, including COVID-19 impact, hence enabling companies to formulate contingency plans and stakeholders to take informed decisions.

Takeaways from COVID-19 impact scrutiny:

An overview on the influence of coronavirus on global economy
Variations in demand and supply trends in the industry
Immediate and far-sighted consequences of COVID-19 pandemic on the business dynamics

Summary of regional landscape:

The report fragments the Cloud Computing in K-12 market into regions, namely, North America, Europe, Asia-Pacific, South America and Middle East and Africa.
Information pertaining to the growth patterns followed by various geographies over the forecast period is elucidated.
Data about sales amassed, profits garnered, and revenue contribution in the recent past, alongside prediction about valuation is presented in the report.
Other highlights from Cloud Computing in K-12 market report:

Industry moguls profiled in the Cloud Computing in K-12 market report are Adobe Systems,Ellucian,SAP,Microsoft,Instructure,Dell EMC,Oracle,Salesforce,Cisco,Blackboard andNetApp.
Details about the business profile of each company, along with their product portfolio, production quantity, as well as pricing pattern followed by them are elucidated.
Insights about the industry share held by different business contenders, and overall profits generated by them are given.
Moving on to product spectrum, the report bifurcates the Cloud Computing in K-12 marketplace into SaaS,IaaS andPaaS.
It goes on to study the sales volume and revenue share of each product segment, to predict its contribution towards market remuneration over the forecast period.
Speaking of application spectrum, the Cloud Computing in K-12 market products are used across Training & Consulting,Integration & Migration,Support & Maintenance, ,Geographically, the detailed analysis of production, trade of the following countries is covered in Chapter 4.2, 5: ,United States ,Europe ,China ,Japan andIndia.
The report expounds on the portion of industry stake held by each application and their growth graph in the ensuing years.
The business intelligence contains thorough dissection of the supply chain to review and infer the competitive hierarchy of the market.
It further includes Porter’s Five Force model and SWOT analysis to identify the potential of new projects.
Points Covered in The Report

The report encompasses an exhaustive discussion of the major players operating in this vertical, inclusive of the prominent companies, raw material & equipment suppliers, traders, distributors, and end-users.
In-depth profiles of companies is hosted in the document, covering all important aspects like capacity, production, pricing, revenue, gross margins, sales volume, growth rate, import, export, supply, future strategies, and technological development.
A comprehensive analysis of five years of historical data as well as market forecast is provided.
Data and information with respect to market player, region, type, application, etc., along with customized research as per specific requirements is offered.
SWOT analysis of the market is included.
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Apart from standard structure reports, one can also obtain custom research as per the specific requirement.

A survey of 521 attendees at a recent online Future of Salesforce DevOps Summit event hosted by Gearset, a provider of a continuous integration/continuous delivery (CI/CD) platform for Salesforce developers, found just under half (47%) of respondents now release software at least multiple times a week, with another 29% releasing software weekly or biweekly.

More than half of respondents (52%) also noted they now can deploy software in less than an hour.

Gearset CEO Kevin Boyle said the survey suggested the level of DevOps maturity among developers building applications on top of the Salesforce software-as-a-service (SaaS) platform is increasing rapidly. In the wake of the COVID-19 pandemic, many organizations embraced SaaS platforms to accelerate their digital business transformation initiatives rather than building entire applications from scratch.

However, the biggest benefit cited by survey respondents was not the ability to release applications faster, but rather the improvements to application quality (77%), followed by increased productivity (69%) and enhanced collaboration (46%). Other benefits cited included reduced complexity thanks to automation; increased agility; more reliable releases and time and cost savings.

Overall, the survey identifies source code control, CI/CD, unit testing, change monitoring and backups of metadata and data as being the most widely implemented DevOps capabilities that have been adopted. Over the next 12 months, capabilities that will see the most increased adoption among survey respondents include CI/CD, static code analysis and sandbox seeding with data.

Survey respondents said their top obstacles to adoption of DevOps are ramp-up time, followed by difficulties adopting source control and a perceived steep learning curve. For many organizations that have adopted Salesforce, the intimidation factor when it comes to adopting DevOps best practices is still fairly high, Boyle noted.

Most recently, Gearset added a free training platform, dubbed DevOps Launchpad, that employs gamification techniques to make DevOps more accessible to developers. Topics covered include version control fundamentals, Git branching strategies and Salesforce backups.

Gearset counts McKesson, Zillow, Traction on Demand, Intercom, Accenture, IBM and Johnson & Johnson among its customers. It’s not clear to what degree appreciation for DevOps has risen among smaller companies. However, as the number of custom applications deployed as extensions to the Salesforce platform increases, it is apparent that manual processes for building and deploying applications will not scale. The Salesforce platform itself is uniquely constructed using a set of objects and tables that generally lead organizations to adopt a DevOps platform built for that environment. However, it is possible to build and deploy applications using a DevOps platform designed for building and deploying applications that might need to span multiple platforms. Those applications would be integrated with the Salesforce platform at an application programming interface (API) level.

Regardless of how custom applications are built and deployed, it’s clear Salesforce platforms are becoming more widely used in enterprise IT environments. Each DevOps team will need to determine how best to integrate those platforms within the context of their overall DevOps strategy.

The latest report addition addressing stark alteration s in global Cloud Computing Stack Layers market is a must-have business document to aid various investment discretion of leading players and aspiring novice entrants in the industrial space.

The research documentation on global Cloud Computing Stack Layers market offers readers new perspectives to decode market developments highlighting crucial factors such as market size and dimensions, along with trend identification and competition assessment affecting market growth projections across geographies. An assessment guide of global Cloud Computing Stack Layers market with in-depth references of drivers, novel growth opportunities, existing barrier analysis have also been well represented in this versatile report to recoup growth track.

Competition Assessment: Global Cloud Computing Stack Layers Market

Amazon Web Services
Salesforce
Microsoft Azure
IBM
Google Cloud Platform
SAP
Rackspace
H&P Helion
OVH
Avaya
Oracle

The competition assessment of the global Cloud Computing Stack Layers market is a requisite tool to understand various vendor activities and their preferred mode of business delivery with promising business outcome have been aggressively discussed in this section of the report. Further, other relevant details such as SWOT assessment of each of the mentioned players, pricing strategies braced by vendors aligning with end-user affordability as well as consumption and production dynamics along with facility expansion needs are also widely discussed in the report. The competition intensity of the vendor landscape, highlighting players and other relevant market participants are also assessed in the report besides evaluating the vendor potential on pre-set parameters and SWOT assessment.

Further, each of the products and services highlighted in the report have also been classified into specific segments to understand pricing strategies of each segment, revenue generation potential and overall sales performance throughout the assessment span.

Segmentation by Type:

Software as a Service (SaaS)
Platform as a Service (PaaS)
Infrastructure as a Service (IaaS)

Based on application, segmentation is primarily been harnessed to understand the scope of application based on industrial demands and user preferences.

Segmentation by Application:

Commercial Use
Public Services
Others

Regional Segmentation identifies Americas, European nations, APAC countries and MEA as popular growth hubs.

Key Questions Answered in the Report?
• This report is a dependable guide to understand core factors influencing growth and expansion in global Cloud Computing Stack Layers market
• The report helps readers to understand the most crucial factor instrumenting high revenue generation amidst staggering cut-throat competition.
• The report sheds ample light on regional scope and advances in geographical sphere that leverages highest revenue gains. Various factors such as profit margins, sales performance, past and current events that accelerate future scope of actions have also been amply discussed in the report aligning with customer expectations for end-to-end assessment.
• The report also includes versatile understanding of market developments across past and present timelines that eventually enunciate future plausibility of growth and uniform expansion.

COVID-19 Impact Analysis
This intensively researched report presentation has been prepared in real time parlance, rendering substantial attention towards COVID-19 outbreak that has lately wreaked unprecedented damage across industries, stagnating growth.

These crucial market relevant information are estimated to trigger tremendous growth returns and sustain market stability through the forecast tenure.

With unfailing market gauging skills, has been excelling in curating tailored business intelligence data across industry verticals. Constantly thriving to expand our skill development, our strength lies in dedicated intellectuals with dynamic problem solving intent, ever willing to mold boundaries to scale heights in market interpretation.

A new report on global Cloud Microservices market assessing various business strategies, cost stratification, raw material sourcing, manufacturing capabilities, cost assessment, along with demand and supply channel assessment are maneuvered in great detail. The report incorporates a figurative review of various DROT elements comprising potential propellants, growth deterrents, ample opportunities, indicative trends that structure out a detailed assessment of the market.

Market Segmentation Assessment
The report inculcates a thorough evaluation of the factors and developments that replicate triggers comprising inventory management, pricing and payment assessment, customer relationship management as well as growth navigation that incorporate ample competitive advantage.

Vendor Profiling: Global Cloud Microservices Market, 2020-26:

AWS
CA Technologies
IBM
Microsoft
Salesforce
Infosys
NGINX
Oracle
Pivotal Software
Syntel
SmartBear Software
Marlabs
Further in the report, readers are also evaluation of cost and pricing strategies, technological entrusted with specific details on payment and pricing trends, inventory management, support of logistics management to incorporate high revenue generation throughout the forecast trajectory. The report identifies dynamic segments such as product and service elements followed by market sub-segments that influence growth. A thorough evaluation of the segments is highly indispensable to undermine the implications of segments that allow market participants to prepare, realign and demonstrate high potential growth in global Cloud Microservices market.

Analysis by Type: This section of the report includes factual details pertaining to the most lucrative segment harnessing revenue maximization.

Public Cloud
Private Cloud
Hybrid Cloud
Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding the various applications that the Cloud Microservices market mediates for superlative end-user benefits.

Retail and Ecommerce
Healthcare
Media and Entertainment
Banking
Financial Services
and Insurance
IT and ITes
Government

Regional Overview: Global Cloud Microservices Market
The following sections of the report also deals with thorough analysis and evaluation guide featuring geographical developments across various countries, proceeding beyond local developments across North and South American countries, Europe, MEA, and APAC. Mexico, Brazil, Argentina, France, Germany, UK, Singapore, South Korea, India, Japan, and India.

Despite having a combined market cap of about $5.5 trillion and being the core of the greatest growth market the tech industry has ever known, the Cloud Wars Top 10 vendors each face significant challenges in 2021.

Whether those challenges are from other Cloud Wars Top 10 competitors, from feisty upstarts like Snowflake, or driven by the need to evolve and transform at breathtaking speed while continuing to support tens of thousands of business customers across the globe, they will make for some fascinating outcomes in 2021.

In our recent Cloud Wars Top 10 Special Report: Which Cloud Vendors Will Thrive in 2021?, we devoted considerable attention to the range of threats looming for the Cloud Wars Top 10: #1 Microsoft, #2 Amazon, #3 Salesforce, #4 Google Cloud, #5 SAP, #6 Oracle, #7 IBM, #8 Workday, #9 ServiceNow, and #10 Adobe.

Here’s a quick overview of each with links to the detailed analyses in our Special Report.

#1 Microsoft
Three big challenges: Azure reliability, balancing enormous aspirations for SaaS and IaaS, and keeping Satya Nadella—perhaps the world’s top CEO—happy and motivated and challenged. Check out our in-depth exploration of those 3 challenges.

#2 Amazon
Three biggest challenges for Andy Jassy and Jeff Bezos: competing with customers, reliability, and multi-cloud management. Get the full story on the major challenges facing AWS.

#3 Salesforce
The biggest challenges facing Benioff & Co.: will Marc Benioff move from platforms to politics? Can Salesforce continue to stay 2 steps ahead of SAP and Oracle? Get the full story on the biggest obstacles for Salesforce on its road to $50 billion.

#4 Google Cloud
Hey, even the hottest major cloud vendor in the world is not free from challenges. And while Google has a market cap of about $1.2 trillion, both Microsoft and Amazon can not only match but exceed that financial muscle. Will parent Alphabet continue to invest at the astonishing rates needed to compete with its larger rivals? Here’s our view.

#5 SAP
For 40 years, SAP has helped huge global corporations run complex operations, and now SAP is itself in the final phases of overhauling how it runs itself. Can it do in the cloud what it was able to do in traditional computing? We vote yes.

#6 Oracle
Larry Ellison has chosen to compete head-on with companies whose market caps are anywhere from about 8X as large as his (Microsoft and Amazon) to about 6X as large (Google). Can Ellison defy the laws of physics? Hey—he’s done it before.

#7 IBM
Red Hat is a big part of the cloud solution for IBM but, if overplayed, Red Hat also becomes the problem. IBM seems to want to say that it’s cloud future is all about Red Hat, but that’s not enough—the whole company has to go all-in on the cloud! Here’s our take on what IBM needs to do to become a big-time player in the cloud.

#8 Workday
Workday has been hugely successful with its focus on HCM and Financials—but as the world moves rapidly to all digital business all the time, will that be enough to keep up with the full end-to-end offerings of competitors SAP and Oracle?

#9 ServiceNow
Bizarre but true: ServiceNow has been wildly successful in part because it’s doing things no other major cloud vendor has chosen to do or, at least so far, is able to do. That won’t last—will the competition come from Google Cloud?

#10 Adobe
In the wickedly competitive CX segment of the market, Adobe has a great consumer brand but only spotty enterprise credibility. And ongoing problems with part of its Experience Cloud has dragged growth rates into single digits—and in the Cloud Wars, that’s a losing position.

Final Thoughts
In calmer times, each of these 10 world-class companies could no doubt assess these challenges, map out a solid plan to overcome them, and begin to execute and adapt. But these times are anything but calm, and the relentless pace of change, innovation and disruption are requiring companies to blast through challenges at the same time they are driving unprecedented levels of innovation.

We’ll be watching closely in 2021 to see which of the Cloud Wars Top 10 are up to the challenge.

The Global IoT Management Software Market Status and Trend Analysis 2017-2026 (COVID-19 Version) 2020-2026 report is one of the most comprehensive and important data about business strategies, qualitative and quantitative analysis of Global Market. IoT Management Software Market research report offers extensive research and analysis of key aspects of the global IoT Management Software market. The report provides deeper understanding of the competitive landscape and its future scenarios, crucial dynamics, and leading segments of the global IoT Management Software market. The report also provides accurate PESTLE, SWOT and other types of analysis on the global IoT Management Software market. The market study has examined the competitive trend apart from offering valuable insights to clients as well as industries. This report concentrate on the global IoT Management Software status, future forecast, development opportunity, key market and key players.

Major companies listed in the market includes:

AWS
Particle
Google Cloud IoT
Azure
Salesforce
ThingSpeak
Cisco
PTC ThingWorx
Carriots
Oracle
SAP
Sierra

The report on Global IoT Management Software Market 2020 cover big geographical, as well as, sub-regions throughout the world. The study objectives of the report are to present the IoT Management Software development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America. The aim of the report is to get premium insights, quality data figures and information in relation to aspects such as market scope, market size, share, and segments such as Types of Products and Services, Application/end use industry, SWOT Analysis and by different emerging by geographies.

Covid-19 Impact Update – Global IoT Management Software Market Research

The report also provides how this industry is likely to be impacted as a result of the global COVID-19 pandemic: market size by revenue is expected to grow xx% in 2020 alone as demand is anticipated to be moderately affected by the outbreak of COVID-19. The downstream companies contend with restricted profit from falling consumer confidence, demand for industry products is expected to slow. Demand from top notch companies and government agencies is expected to rise as they seek more information on COVID-19.

Apart from that, the report also provides valuable differentiating information regarding each of the market segments. These segments are examined further on different fronts such as historical performance, market size contributions, % market share, expected rate of growth.

On the Basis of Region

The report is mainly segmented into several key regions, with sales, revenue, market share and growth rate of IoT Management Software in these regions, from 2020 to 2027, covering:

North America (Canada, United States & Mexico)
Europe (Germany, the United Kingdom, Belgium, Netherlands, France, Russia & Italy, Others)
Asia-Pacific (Japan, South Korea, China, India & Southeast Asia)
South America (Argentina, Brazil, Peru, Colombia, Etc.)
Middle East & Africa (United Arab Emirates, Egypt, Saudi Arabia, Nigeria & South Africa)

Business Strategies

Key strategies in the global IoT Management Software market like product developments, partnerships, mergers and acquisitions, etc., analysed in this report. The worth of strategic analysis has been rigorously investigated in conjunction with undisputed market challenges. The IoT Management Software market report delivers conclusion that includes breakdown and data triangulation, consumer needs/customer preference change, research findings, market size estimation, data source. These factors will increase the business overall.

The research report titled “Global Government Cloud Market 2020: Industry Share, Size, Regional Growth Analysis, COVID-19 impact Analysis and Forecast 2026” and published by “Zion Market Research” is an in-depth and dedicated scrutiny of the existing stats of the global Government Cloud market entailing the numerous facets pertinent to statistics and growth of the business. The report segregated into diverse sections to simplify the comprehension of the included data and thus, market dynamics. It encompasses all the major competitors and players Microsoft, Amazon Web Services, Google, IBM, Oracle, HPE, Cisco Systems, Salesforce, Vmware, Dell Technologies, CGI Group and Verizon among others.. involved in the global Government Cloud market along with the various features relating to the market players like company profiles, supply chain value, product specifications, market shares, and so on. Also, the report entails the major strategic market developments, comprising R&D activities, collaborations, new product launch, agreements, joint ventures, partnerships, M&A, and presence & expansion extent of these prominent players on the global and regional scale. In addition, it comprises the systematic examination of business strategies for expansion of the prominent Government Cloud market players.

The major players in the market include :

Microsoft, Amazon Web Services, Google, IBM, Oracle, HPE, Cisco Systems, Salesforce, Vmware, Dell Technologies, CGI Group and Verizon among others.

The Government Cloud market report encompasses the general idea of the global Government Cloud market including definition, classifications, and applications. Further, it includes the all-inclusive comprehension of several factors such as drivers, constraints, and major micro markets. The report is a wide-ranging source of widespread facts and figures for business strategists as it offers the historical &futuristic data such as demand & supply data, cost, revenue, profit, supply chain value, and so on. Furthermore, it entails the key market features, comprising production, revenue, price, capacity, gross margin, market share, consumption, gross, production rate, demand/supply, cost, capacity utilization rate, export/import, and CAGR (compound annual growth rate). In addition the report encompasses global Government Cloud market segmentation on the basis of diverse facets like product/service type, application, technology, end-users, and major geographic regions North America, Europe, Asia-Pacific and Latin America. Apart from this, the researcher market analyst and experts present their outlook or insights of product sales, market share, and value along with the possible opportunities to grow or tap into in these regions.

Promising Regions & Countries Mentioned In The Government Cloud Report:

North America ( United States)
Europe ( Germany, France, UK)
Asia-Pacific ( China, Japan, India)
Latin America ( Brazil)
The Middle East & Africa

The Government Cloud market report also entails the vigorous evaluation about the growth plot and all opportunities &risk related to of global Government Cloud market during the forecast period. In addition, the report comprises the key events and most recent innovations in the industry together with the prospective trends technological progresses within the global Government Cloud market that can impact its expansion graph. Entailing the pivotal data on the market’s statistics and dynamics, the report will serve as a valued asset in term of decision-making and guidance for the businesses and companies already active within industry or looking forward to enter into it.

Some Major Points in TOC Covered :

Chapter 1. Report Overview
Chapter 2. Global Growth Trends
Chapter 3. Market Share by Key Players
Chapter 4. Breakdown Data by Type and Application
Chapter 5. Market by End Users/Application
Chapter 6. COVID-19 Outbreak: Government Cloud Market Industry Impact
Chapter 7. Opportunity Analysis in Covid-19 Crisis
Chapter 9. Market Driving Force

Reason to Buy

Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Government Cloud
Highlights key business priorities in order to assist companies to realign their business strategies.
The key findings and recommendations highlight crucial progressive industry trends in the Government Cloud, thereby allowing players to develop effective long term strategies.
Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.

Anthony Ginsberg, Co-Creator of HAN-GINs Cloud Technology UCITS ETF (SKYY), which is a cloud computing ETF, expects growth in the sector to accelerate and predicts more M&A corporate activity in the cloud space, particularly amongst cloud security firms.

On this point, Mr Ginsberg said: “Due to COVID-19, cloud technology is increasingly embedded into mainstream work-life activities – from digital entertainment/streaming services to video conferencing, social media and remote learning. We expect global cloud spending to hit a new all-time high for the 3rd quarter – as cloud spending globally continues to gain momentum”

“As Work From Home (WFH) behaviours become ingrained amongst tech savvy workers – pre Pandemic work rules are unlikely to revert. Cloud now drives the Internet of Things, from Social Media and Digital Entertainment to Healthcare Innovation (trackers and telemedicine), Future Cars, Cyber Security and AI-Robotics. Many of the larger Cloud players are vertically integrated – offering a variety of cloud services form software to infrastructure and security too” said Mr Ginsberg.

While the US is the most built-out across Cloud, Europe and developing nations are where much of the future growth is expected. Larger cloud players currently have a distinct advantage over smaller Cloud players given their existing global reach. Many cloud themed ETFs focus on US companies but SKYY has global holdings.

“Given the flexibility cloud subscription services affords users and the significant cost savings – versus maintaining onsite hardware – IT budgets are increasingly shifting away from hardware to Cloud. We also expect global cloud spending to hit a new all-time high for the 3rd quarter – as cloud spending globally continues to gain momentum.”

“The large Cloud Infrastructure players will be unable to make huge ground-breaking deals due to the US Election and anti-trust concerns. We expect smaller add-on acquisitions by the Megacap players whose record share prices provide them with a relatively low-cost, cheap currency” said Mr Ginsberg.

The HAN-GINS Cloud Technology UCITS ETF, is a UCITS compliant Cloud computing ETF domiciled in Ireland. It tracks the Solactive Cloud Technology Index, which was specifically developed for this cloud computing ETF.

The index seeks to provide exposure to companies active in the field of Cloud computing, such as service providers or producers of equipment or software focused on Cloud computing. The HAN-GINs Cloud Technology UCITS ETF (SKYY) delivered a return of 21.49% over the past 12 months 1 . Past performance is no guarantee of future performance.

Below are five key stocks held by SKYY, which Mr Ginsberg and his team have identified as particularly interesting for investors now, and why they think this. The opinions in this email and reports are of the authors and must not be relied upon as investment advice.

AWS now dominates the global Cloud infrastructure market with an approximate 30% market share. It is the primary Cloud host for most global enterprises – with a huge lead over the likes of Microsoft’s Cloud service Azure and Google Cloud. AWS’ revenues rose 31% year-over-year to $21 billion, or 13% of Amazon’s total revenue, in the first half of 2020. More importantly AWS’s profits now represent close to 65% of Amazon’s total operating profit. Its profits are now significantly subsidizing Amazon’s Prime and other lower-margin e-commerce businesses.

It now owns and operates the world’s largest cloud-based CRM (customer relationship management) software platform. It primarily services private and public enterprises. It controls almost 20% of the market, compared to its European rival SAP which holds a small 5.3% share.Salesforce also now offers various cloud-based e-commerce, marketing, and analytics services. Currently these services help over 150,000 companies to streamline and automate certain tasks, reducing overall dependence on human employees.

Its revenues significantly beat expectations recently – rising 30% year-over-year to $10 billion in the first half of 2020. It showed just how strongly it has benefited from the lockdown and is seen as one of the largest beneficiaries of the new ‘Working From Home’ phenomenon and change in office behavior. It is benefiting from the acceleration of cloud-based CRM, marketing, and e-commerce solutions.

Over the past few years using a subscription model online, Adobe has transformed its desktop-based design software into a highly successful subscription-based cloud service. It has subsequently expanded its offering with analytics, advertising, and e-commerce services.

The worldwide “Cloud-native Software market” statistical surveying report is an inescapable research report that contacts the most imperative parts of the Cloud-native Software platform that is important to be gotten a handle on by an expert or even a layman. The research covers the current market size of the Global Cloud-native Software market and its growth rates based on 5 year history data along with company profile of key players/manufacturers such as IBM, Nokia, Onica, Microsoft Azure, Google, Oracle, SAP, Symantec, VMWare, Salesforce, HCL, Amadeus, Pivotal, AWS. The statistical surveying report illuminates one with respect to few of the imperative perspectives, for example, an outline of the Cloud-native Software item, the development factors improving or hampering its advancement, application in the different fields, major ruling organizations, veritable certainties, monetary circumstance, and topographical examination. .

Based on the present techniques and trends, the global Cloud-native Software market report provides thoroughly analyzed and predicted forecast regarding the upcoming growth of the market. The report conjointly categorizes the market into main product kind Public Cloud, Private Cloud and the sub-segments Manufacturing, BFSI, Healthcare, Aerospace & Defense, Telecom of the Cloud-native Software market are depicted in the report. The market report also explains the major alteration in the product version, its production technology, and development that may be caused due to a little variation in the product profile.

The global Cloud-native Software market is one of the booming markets with well-established zone worldwide. The global market has been completely focusing over the advancement in the groundbreaking technologies and listening to the customer’s preferences; which lead to the vast and continuous increase in its growth rate. The global Cloud-native Software market provides a huge platform with lots of opportunities for different industries in different regions to emerge and establish globally.

The global report provides detailed key points that have significant effects on the global development of the Cloud-native Software market. It provides the current status as well as future aspects over the market development. The report is generated after in-depth research and thorough analysis of the development in various sectors of the market that needs technological ideas, hypothetical analysis, and its applicability. The factors that significantly improve and demote the market growth; deep justification of the market’s previous data; along with the current analyzed data; and the future development of the Cloud-native Software market are included in the report. The Cloud-native Software market report also delivers a theoretical-based study regarding the financial instabilities in terms of the demand and the supply.

There are 15 Chapters to display the Global Cloud-native Software market

Chapter 1, Definition, Specifications and Classification of Cloud-native Software , Applications of Cloud-native Software , Market Segment by Regions;
Chapter 2, Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
Chapter 3, Technical Data and Manufacturing Plants Analysis of Cloud-native Software , Capacity and Commercial Production date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;
Chapter 4, Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
Chapter 5 and 6, Regional Market Analysis that includes United States, China, Europe, Japan, Korea & Taiwan, Cloud-native Software Segment Market Analysis (by Type);
Chapter 7 and 8, The Cloud-native Software Segment Market Analysis (by Application) Major Manufacturers Analysis of Cloud-native Software ;
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type Public Cloud, Private Cloud, Market Trend by Application;
Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
Chapter 11, The Consumers Analysis of Global Cloud-native Software ;
Chapter 12, Cloud-native Software Research Findings and Conclusion, Appendix, methodology and data source;
Chapter 13, 14 and 15, Cloud-native Software sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

What Is an IoT Management System?

An IoT Management System (IoT MS) is a software platform that enables organisations to provision, monitor, configure, and secure connected devices at scale. As IoT deployments grow from dozens of sensors to millions of endpoints, a dedicated management layer becomes critical for maintaining device health, enforcing security policies, processing telemetry data, and integrating device events with downstream business systems.

IoT management platforms typically provide some combination of the following capabilities:

• Device provisioning and registration — onboarding new hardware securely with identity certificates or tokens.
• Remote monitoring and diagnostics — real-time visibility into device status, connectivity, and firmware versions.
• Over-the-air (OTA) updates — pushing firmware or configuration changes without physical access.
• Data ingestion and routing — receiving high-throughput telemetry and routing it to storage, analytics, or alerting services.
• Security and access control — enforcing mutual TLS, role-based access, and anomaly detection.
• Integration with enterprise systems — connecting device data to CRM, ERP, and analytics platforms.

Major IoT Management Platform Vendors

The market includes hyperscale cloud providers, specialist IoT platform vendors, and enterprise software companies. The following vendors are commonly cited in this space:

Hyperscale Cloud Providers

• AWS IoT Core — Amazon’s managed cloud service for connecting billions of devices. Integrates natively with Lambda, S3, Kinesis, and SageMaker for event-driven processing and machine learning pipelines.
• Google Cloud IoT Core — Google’s managed IoT ingestion and device management service, designed to integrate with Pub/Sub, Dataflow, and BigQuery. (Note: Google announced the deprecation of Cloud IoT Core in 2022; organisations should verify the current status of this service.)
• Microsoft Azure IoT Hub — A fully managed service supporting bidirectional device-to-cloud messaging, device twins, direct methods, and deep integration with Azure Stream Analytics, Cosmos DB, and Azure Digital Twins.

Specialist IoT Platforms

• Particle — A hardware-and-software IoT platform targeting product developers. Provides cellular and Wi-Fi connected modules alongside a cloud device management console suited for industrial and commercial IoT products.
• PTC ThingWorx — An enterprise industrial IoT (IIoT) platform with strong augmented-reality and digital-twin capabilities, widely used in manufacturing and field service scenarios.
• Carriots — A platform-as-a-service (PaaS) IoT solution focused on device management and data storage, often used for rapid prototyping and mid-scale deployments.
• ThingSpeak — An open-source IoT analytics platform (now owned by MathWorks) that allows devices to send data to the cloud for real-time visualisation and MATLAB-based analysis. Commonly used in academic and prototyping contexts.
• Sierra Wireless — Provides cellular IoT modules and cloud connectivity management through its AirVantage platform, targeting industrial and automotive use cases.

Enterprise Software Vendors

• Salesforce IoT — Integrates IoT event streams with Salesforce CRM, allowing customer service and sales workflows to be triggered by device events in near real-time.
• Oracle IoT Cloud — Provides device management, analytics, and integration capabilities connected to Oracle’s broader ERP and supply chain applications.
• SAP IoT — Focuses on integrating device data with SAP S/4HANA and supply chain processes, targeting manufacturing, logistics, and smart building use cases.
• Cisco IoT — Offers networking infrastructure, edge computing, and security solutions specifically designed for industrial IoT environments, including ruggedised routers and the Cisco IoT Control Center for connectivity management.

Market Segmentation

By Deployment Model

• Cloud IoT Management — The dominant deployment model. Devices connect to a cloud-hosted management plane, benefiting from elastic scaling, managed infrastructure, and pay-per-use pricing. Suited for geographically distributed deployments where centralised visibility is a priority.
• Local (On-Premises) IoT Management — Management logic runs on-site or at the network edge. Preferred in environments with strict data sovereignty requirements, limited WAN connectivity, or latency-sensitive control loops — such as manufacturing shopfloors, utilities, and defence applications.

By End User

• Large Enterprises — Typically require integration with existing IT systems (ERP, CRM, SIEM), advanced security controls, SLA-backed support, and the ability to manage device fleets in the millions. Vendors such as Azure, AWS, SAP, and PTC ThingWorx are strong in this segment.
• SMEs (Small and Medium Enterprises) — Prioritise ease of onboarding, low upfront cost, and self-service tooling. Platforms such as Particle, ThingSpeak, and Carriots have historically served this segment well with tiered or consumption-based pricing.

Key Technology and Market Trends

• Edge computing integration — Processing data closer to the device reduces latency and bandwidth costs. Platforms are increasingly offering edge runtimes (e.g., AWS Greengrass, Azure IoT Edge) that run management agents and analytics locally.
• Digital twins — Virtual representations of physical assets enable predictive maintenance, simulation, and remote diagnostics without physical intervention.
• Zero-trust security — As IoT attack surfaces expand, platforms are adopting per-device identity, certificate-based authentication, and continuous authorisation rather than perimeter-based models.
• LPWAN and 5G connectivity — Low-power wide-area networks (LoRaWAN, NB-IoT) and 5G are expanding the connectivity options for battery-constrained and high-bandwidth devices respectively, influencing platform connectivity architecture.
• AI/ML at the edge — Embedded inference models enable anomaly detection and predictive analytics directly on devices or gateways, reducing round-trips to the cloud.

Evaluating an IoT Management Platform: Key Criteria

When selecting an IoT management system, engineering and architecture teams should evaluate the following dimensions:

1. Scale and throughput — What is the maximum device count and messages-per-second the platform supports under your expected workload?
2. Protocol support — Does the platform support MQTT, AMQP, HTTPS, CoAP, or the protocols your devices already use?
3. Security model — How are device identities provisioned and rotated? Is mutual TLS or X.509 certificate authentication supported?
4. Integration ecosystem — How well does the platform connect to your existing data warehouse, ticketing, or ERP systems?
5. Edge capability — Can management and processing logic run locally when cloud connectivity is unavailable?
6. Vendor lock-in risk — Are data formats and APIs based on open standards, or proprietary to the vendor?
7. Total cost of ownership — Factor in ingestion, storage, compute, and support costs, not just per-device licensing fees.

Summary

The IoT management system market encompasses a wide range of vendors — from hyperscale cloud providers offering deep integration with their broader data platforms, to specialist vendors focused on specific verticals or device types. For DevOps and platform engineering teams, the platform choice should be driven by deployment model requirements (cloud vs. edge), integration needs, security posture, and long-term scalability rather than analyst projections alone. With the continued growth of connected device fleets across manufacturing, logistics, healthcare, and smart infrastructure, robust IoT management tooling is increasingly a core part of the enterprise technology stack.

Major Cloud Vendors Serving Retail Banking

The competitive landscape in cloud services for retail banking is broad. Hyperscalers and specialised enterprise software vendors both compete for bank workloads. Prominent players include:

• Amazon Web Services (AWS) – Offers dedicated financial-services competency programmes, compliance frameworks (PCI-DSS, SOC 2), and managed database and AI/ML services widely used by banks.
• Microsoft Azure – Provides strong integration with enterprise productivity tools and Azure Government/Sovereign Cloud options for regulated data residency requirements.
• IBM – Long-standing banking partner with hybrid cloud offerings built on Red Hat OpenShift, plus managed services for mainframe workload migration.
• Google Cloud – Increasingly targeting banking analytics and AI workloads, with dedicated financial-services industry solutions.
• Alibaba Cloud, Tencent Cloud, Huawei Cloud, Baidu AI Cloud, China Telecom, China Unicom, Kingsoft Cloud, and UCloud – Dominant cloud providers serving Asia-Pacific retail banks, particularly in China where domestic regulations shape cloud procurement.
• Infosys, TCS, and Wipro – Systems integrators and managed-service providers that deliver cloud migration, DevOps tooling, and banking-platform modernisation on top of hyperscaler infrastructure.
• Oracle, SAP, Salesforce, Workday, and Intuit – SaaS and PaaS vendors supplying core banking, CRM, ERP, and financial-management capabilities as cloud-native or cloud-hosted services.
• Medidata, Veeva Systems, and Ellie Mae – Vertical SaaS providers whose platforms intersect with banking and financial-services data management use cases.
• BBVA and Bankinter – Notable examples of retail banks that have invested heavily in internal cloud platforms and open-banking APIs, making them both consumers and, in some cases, providers of cloud-based financial technology.

Market Segmentation

By Service Type

• Infrastructure as a Service (IaaS) – Compute, storage, and networking resources consumed on demand; commonly used for disaster-recovery, batch processing, and dev/test environments.
• Platform as a Service (PaaS) – Managed runtime environments, databases, messaging queues, and integration layers that reduce operational overhead for development teams.
• Software as a Service (SaaS) – Fully managed applications such as core-banking systems, CRM, fraud-detection engines, and regulatory-reporting tools.

By Deployment Model

• Public Cloud – Shared infrastructure managed by a hyperscaler; cost-efficient for non-sensitive workloads.
• Private Cloud – Dedicated infrastructure operated on-premises or in a co-location facility; preferred for sensitive customer and payment data.
• Hybrid Cloud – Combination of public and private environments connected by orchestration tooling; increasingly the dominant model in banking because it allows regulatory data-residency controls alongside cloud-native scalability.

By Application

• Core banking system modernisation
• Customer relationship management (CRM) and personalisation
• Fraud detection and anti-money-laundering (AML) analytics
• Regulatory compliance and reporting
• Mobile and digital banking platforms
• Risk management and stress testing
• Data warehousing and business intelligence

Regional Landscape

Cloud adoption patterns in retail banking vary significantly by region, driven by local regulation, infrastructure maturity, and competitive pressure from fintech entrants.

North America (United States, Canada, Mexico)

North America represents one of the most mature markets. Large US banks have invested heavily in multi-cloud strategies, and regulators such as the OCC and FFIEC have issued guidance on cloud risk management rather than outright restrictions. Canada’s OSFI and Mexico’s CNBV each impose their own data-residency and third-party risk requirements.

Europe (Germany, France, UK, Russia, Italy)

GDPR, EBA outsourcing guidelines, and the EU Digital Operational Resilience Act (DORA) heavily influence cloud procurement decisions. Many European banks favour hybrid or sovereign-cloud arrangements to maintain data control. The UK’s post-Brexit regulatory environment, managed by the PRA and FCA, adds additional complexity for cross-border deployments.

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia)

Asia-Pacific is one of the fastest-growing regions for cloud adoption in banking. China’s domestic cloud providers (Alibaba, Tencent, Huawei, Baidu, China Telecom, China Unicom) dominate the local market due to data-localisation requirements. India’s RBI has issued cloud-adoption frameworks encouraging managed migration. Southeast Asian markets show rapid growth driven by digital-only bank licensing regimes.

South America (Brazil, Argentina, Colombia)

Brazil’s LGPD privacy law and the Central Bank of Brazil’s open-finance initiatives are accelerating cloud investment. Hyperscalers have expanded local infrastructure to meet data-residency requirements.

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa)

Cloud adoption is growing from a lower baseline. The UAE and Saudi Arabia have established clear cloud-first government policies that indirectly influence banking. Nigeria and South Africa represent the leading African markets, with central banks developing cloud-risk guidance.

Key Growth Drivers

• Legacy system debt – Decades-old mainframe and on-premises applications are expensive to maintain and difficult to integrate with modern APIs, creating a strong business case for cloud migration.
• Fintech competition – Digital-native challengers operate at lower cost bases using cloud-native architectures, pressuring incumbent banks to modernise.
• Customer experience demands – Real-time payments, personalised offers, and always-on mobile services require the elastic scalability that cloud platforms provide.
• Regulatory reporting volume – Increasing regulatory complexity demands analytics platforms capable of processing large, rapidly changing datasets—a strength of cloud data warehousing.
• AI and machine learning adoption – Fraud detection, credit scoring, and customer segmentation models require compute resources that are cost-prohibitive to provision on-premises at scale.
• Operational resilience requirements – Regulators increasingly demand active-active disaster-recovery capabilities that public cloud regions and availability zones can deliver more economically than traditional data-centre pairs.

Key Restraints and Challenges

• Data sovereignty and residency rules – Regulations in many jurisdictions restrict where customer financial data can be stored or processed, limiting hyperscaler flexibility.
• Concentration risk – Regulators worry that widespread dependence on a small number of hyperscalers creates systemic risk for the financial sector.
• Security and compliance complexity – Banks must maintain PCI-DSS, SOC 2, ISO 27001, and local regulatory certifications across cloud environments, increasing operational overhead.
• Skills gaps – Cloud-native development, DevSecOps, and FinOps expertise remain scarce in many banking organisations.
• Migration risk – Moving mission-critical core-banking systems carries significant operational risk and requires extensive testing and rollback planning.

Technology and Innovation Trends

• API-led open banking – Cloud platforms provide the managed API gateways and event-streaming infrastructure (e.g., Kafka-as-a-service) that open-banking mandates require.
• Containerisation and Kubernetes – Banks are increasingly packaging workloads in containers to gain portability across cloud providers and reduce vendor lock-in.
• Serverless and event-driven architectures – Reducing idle compute costs for transaction-processing pipelines with variable load profiles.
• Confidential computing – Hardware-based trusted execution environments (TEEs) allow sensitive banking data to be processed in the cloud without exposing plaintext to the cloud provider.
• Generative AI integration – Banks are piloting large-language models for customer service automation, document processing, and code generation, typically through managed cloud AI services.

Conclusion

Cloud computing is no longer an emerging concept in retail banking—it is an operational reality for institutions of all sizes. The combination of legacy modernisation pressure, fintech competition, and demand for real-time, data-driven services means that cloud adoption will continue to accelerate across all regions. For DevOps and platform engineering teams working in financial services, understanding the regulatory context, vendor landscape, and architectural patterns specific to banking is essential for designing resilient, compliant, and cost-effective cloud environments.

What Is the FundTech Market?

“FundTech” broadly refers to technology platforms and software solutions that support financial fund management, investment operations, and capital markets workflows. The sector sits at the intersection of financial services and enterprise software, and it increasingly relies on cloud-native infrastructure, API-driven integrations, and identity and security tooling — areas where many DevOps and platform engineering teams play a direct role.

As of the original report’s publication date (late 2019), the global FundTech market was described as experiencing consistent year-over-year expansion, with growth projected to continue through 2026. The drivers cited include broader digital transformation in financial services, increased regulatory complexity requiring automation, and the rising adoption of SaaS platforms across investment firms of all sizes.

Key Vendors Shaping the FundTech Ecosystem

The report highlights a group of enterprise technology vendors whose platforms are widely adopted within FundTech workflows. Understanding what each vendor contributes helps DevOps teams evaluate integration requirements, security posture, and operational complexity:

• Adobe: Document workflows, e-signatures (via Adobe Sign), and digital experience management used in client onboarding and compliance documentation.
• Amazon (AWS): Cloud infrastructure underpinning a large proportion of FundTech SaaS platforms — compute, storage, managed databases, and financial-grade security controls.
• Box: Secure cloud content management for regulated documents, audit trails, and collaboration across fund administrators and legal teams.
• Chegg: Primarily an education platform; its inclusion in this market report is unclear and may reflect a data categorization issue in the original source.
• DocuSign: Electronic signature and contract lifecycle management, widely used for subscription agreements, fund documents, and regulatory filings.
• Forge: A private securities marketplace enabling secondary trading of private company shares — a core FundTech use case for alternative investment platforms.
• Okta: Identity and access management (IAM), providing SSO, MFA, and lifecycle management critical for securing FundTech portals and APIs.
• Oracle NetSuite: Cloud ERP for fund accounting, financial consolidation, and reporting across fund structures.
• Salesforce: CRM and workflow automation used by investor relations teams, fund distributors, and capital-raising operations.
• Splunk: Log aggregation, security monitoring (SIEM), and operational intelligence — increasingly required for financial services compliance and incident response.
• Twilio: Programmable communications (SMS, voice, email) used for investor notifications, two-factor authentication, and automated alerts.

Regional Market Dynamics

According to the report summary, the Asia-Pacific (APAC) region represents one of the most active growth areas for FundTech adoption. Population growth, rising middle-class investment activity, and increased financial literacy are cited as contributing factors.

In Latin America, Brazil and Mexico are identified as leading markets, supported by government initiatives promoting modernized financial services infrastructure. The report suggests that as R&D investment in the region increases, adoption rates and market size will accelerate correspondingly.

In more established markets — the Americas broadly, Europe, and the Middle East and Africa (MEA) — the focus shifts from initial adoption to platform consolidation, regulatory compliance tooling, and deeper API integration between fund administration systems and cloud-native DevOps pipelines.

Market Drivers and Challenges

Key Growth Drivers

• Cloud migration: Fund administrators and asset managers moving legacy on-premise systems to cloud platforms, creating demand for DevOps-managed infrastructure.
• Regulatory compliance automation: Increasing reporting requirements (MiFID II, GDPR, SEC rules) are driving adoption of automated audit trails, identity verification, and data lineage tooling.
• API-first integrations: Modern FundTech platforms increasingly expose REST and GraphQL APIs, enabling DevOps teams to build automated data pipelines between portfolio management, CRM, and accounting systems.
• Security and identity: Zero-trust architecture and strong authentication (Okta, Twilio) are becoming table stakes for platforms handling investor data and financial transactions.

Challenges and Risks

• Vendor lock-in: Deep integration with a single cloud provider or SaaS platform can limit flexibility and increase switching costs.
• Data sovereignty: Cross-border fund operations must navigate differing data residency and privacy laws, complicating multi-region deployments.
• Integration complexity: Connecting legacy fund accounting systems with modern SaaS platforms often requires custom middleware, increasing operational overhead.
• Talent gaps: The intersection of financial domain knowledge and cloud-native engineering skills remains a scarce combination in the job market.

Analytical Frameworks Used in FundTech Market Research

Market reports in this space commonly apply two established strategic frameworks to evaluate vendor and market positioning:

• SWOT Analysis: Assesses each vendor’s internal Strengths and Weaknesses alongside external Opportunities and Threats — useful for evaluating build-vs-buy decisions when selecting FundTech components.
• Porter’s Five Forces: Examines competitive rivalry, supplier power, buyer power, threat of substitutes, and barriers to entry — a helpful lens for understanding why certain vendors (Salesforce, Oracle) maintain dominant market positions despite newer entrants.

Implications for DevOps and Platform Engineering Teams

For DevOps practitioners working in or adjacent to financial services, the FundTech vendor landscape directly shapes platform decisions:

• Identity pipelines: Okta’s prominence means SCIM provisioning, OAuth 2.0 flows, and SAML integrations are common requirements when onboarding new FundTech SaaS tools.
• Observability: Splunk remains a common choice for SIEM and log aggregation in regulated environments; teams should plan for Splunk forwarder deployment and index management as part of infrastructure-as-code templates.
• Communication automation: Twilio’s APIs are frequently embedded in investor portals for OTP delivery and alerting — these integrations require secrets management and rate-limit handling in CI/CD pipelines.
• Contract and document automation: DocuSign and Box APIs are often integrated into onboarding workflows, requiring webhook handling and retry logic in application backends.

Summary

The FundTech market represents a significant and growing segment of enterprise software adoption, with a vendor ecosystem that maps closely onto the tools DevOps teams already manage. Cloud infrastructure (AWS), identity (Okta), observability (Splunk), communications (Twilio), and CRM (Salesforce) are not peripheral to FundTech — they are its operational backbone. Understanding the market context helps platform engineers make better architectural decisions, anticipate integration requirements, and communicate infrastructure value to financial services stakeholders.

Original market research summary sourced from QYReports via galusaustralis.com, December 2019. Projections referenced in that report extend to 2026 and have not been independently verified by this publication.

Overview of the Global Public Cloud Service Market

The global public cloud service market entered 2019 as one of the fastest-growing segments of the technology industry. Enterprises across virtually every vertical were accelerating their migration from on-premises infrastructure to cloud-based platforms, driven by cost flexibility, scalability, and the broadening maturity of cloud-native tooling.

A market research report titled Public Cloud Service Market Research Report 2018–2026, published by Innovate Insights, examined the competitive dynamics, regional distribution, and service-type segmentation of this market. The following sections summarise the report’s key structural findings for practitioners who want a concise reference without marketing filler.

Key Players in the Public Cloud Service Market

The report identified the following companies as the primary competitors in the global public cloud service landscape:

• Amazon Web Services (AWS) – the longest-established hyperscale cloud provider, dominant in IaaS and PaaS revenue share.
• Microsoft Azure – strong enterprise penetration, particularly in hybrid cloud and Windows-integrated workloads.
• Google Cloud Platform (GCP) – competitive in data analytics, machine learning, and Kubernetes-native workloads.
• IBM Cloud – focused on regulated industries and hybrid deployments, reinforced by the Red Hat acquisition.
• Oracle Cloud – targeting database-heavy workloads and ERP migrations.
• Salesforce – dominant in SaaS CRM; a significant force in the broader public cloud ecosystem.
• SAP – enterprise application SaaS and platform services, particularly in ERP and supply chain.
• VMware – hybrid cloud infrastructure and virtualisation-layer services.
• Rackspace – managed cloud services across multiple provider platforms.
• Red Hat – open-source PaaS and container platform services (OpenShift).
• Adobe – creative and marketing SaaS on its own cloud infrastructure.
• Verizon Cloud – telecom-adjacent cloud and managed hosting services.
• Navisite – managed cloud for mid-market enterprises.
• Dropbox – cloud storage and collaboration SaaS.
• Egnyte – enterprise content collaboration and governance.

The report examined each player’s market share, production and service delivery locations, pricing models, gross margins, and product portfolio breadth.

Market Segmentation by Service Type

The public cloud service market is broadly segmented by the type of service delivered. The report categorised offerings into the following segments:

Infrastructure as a Service (IaaS)

IaaS provides virtualised compute, storage, and networking resources on demand. AWS EC2, Azure Virtual Machines, and Google Compute Engine are canonical examples. Organisations consume IaaS to replace or augment physical data centres without long-term capital commitments.

Platform as a Service (PaaS)

PaaS layers a managed runtime, middleware, and developer toolchain on top of IaaS. It removes the need for teams to patch or scale the underlying OS and runtime. Examples include AWS Elastic Beanstalk, Azure App Service, and Google App Engine.

Software as a Service (SaaS)

SaaS delivers fully managed applications over the internet under a subscription model. Salesforce, Office 365, Google Workspace, Dropbox, and Adobe Creative Cloud are among the largest SaaS products by revenue.

Cloud Bursting

Cloud bursting is a hybrid architecture pattern in which a workload running on private infrastructure automatically expands into a public cloud when local capacity is exhausted. It is particularly relevant for batch processing and seasonal traffic spikes.

Multi-Tenant Computing

Multi-tenancy is a core architectural principle of public cloud, allowing a single provider infrastructure to serve many customers with logical isolation between them. It is foundational to the economies of scale that make public cloud pricing competitive.

Resource Pooling

Resource pooling refers to the provider’s ability to aggregate physical resources and dynamically allocate them across customers, a core characteristic in NIST’s definition of cloud computing.

Market Segmentation by Vertical / Application

Demand for public cloud services was analysed across the following industry verticals in the report:

• Government – sovereign cloud requirements, compliance mandates, and digital transformation of citizen services.
• Private Organisations – broad enterprise adoption across manufacturing, retail, media, and professional services.
• Academics and Education – remote learning platforms, research computing, and student information systems.
• Banking, Financial Services, and Insurance (BFSI) – high-compliance workloads, real-time payments infrastructure, and risk analytics.
• Healthcare – electronic health records, medical imaging, and AI-assisted diagnostics, subject to HIPAA and regional equivalents.
• Supply Chain Management – real-time inventory tracking, demand forecasting, and logistics optimisation.

Geographical Scope

The report’s regional analysis covered the following geographies, with attention to market share, projected growth rates, and emerging opportunities in each:

• United States – the largest single market, home to the three dominant hyperscalers.
• China – a distinct competitive environment dominated by Alibaba Cloud, Tencent Cloud, and Huawei Cloud, with significant regulatory separation from Western providers.
• Europe – growth driven by GDPR compliance requirements and increasing data residency demands, with rising sovereign cloud initiatives.
• Japan – mature enterprise IT market undergoing cloud-first policy adoption.
• Southeast Asia – high-growth emerging market with rapid mobile-first cloud adoption.
• India – rapidly expanding developer ecosystem, significant public-sector cloud initiatives, and growing startup demand.

Key Market Dynamics

Drivers

• Shift from capital expenditure to operational expenditure models.
• Growing demand for elastic compute for AI, ML, and big data workloads.
• Proliferation of DevOps and CI/CD practices requiring on-demand provisioning.
• Remote work and distributed team enablement.

Challenges

• Data sovereignty and cross-border data transfer restrictions.
• Vendor lock-in risk with proprietary managed services.
• Security and shared-responsibility model complexity.
• Unpredictable egress and inter-region data transfer costs.

Opportunities

• Edge computing extending cloud capabilities closer to end users and IoT devices.
• Multi-cloud strategies reducing dependence on any single provider.
• Expansion of cloud marketplace ecosystems enabling ISV distribution.
• Managed Kubernetes and serverless platforms lowering the barrier to cloud-native development.

Report Structure at a Glance

For practitioners assessing whether the full Innovate Insights report suits their needs, the table of contents covers the following major areas:

• Global market size (volume and value) and forecast through 2026.
• Regional market share breakdown and growth rate projections.
• Competitive landscape with company profiles, pricing models, and gross margins.
• Service-type segmentation with revenue and growth data per segment.
• Vertical application segmentation with demand and growth data.
• Marketing channel analysis (direct vs. indirect).
• Market dynamics: drivers, challenges, and influence factors.
• Research methodology and data triangulation approach.

Takeaways for DevOps and Cloud Engineering Teams

Market reports of this type are most useful when cross-referenced with your own procurement and architecture decisions. A few practical considerations:

• Provider selection – AWS, Azure, and GCP continue to dominate IaaS/PaaS revenue. Niche providers (Rackspace, Navisite) remain competitive for managed service overlays rather than raw infrastructure.
• Service model clarity – Clearly distinguishing IaaS, PaaS, and SaaS responsibilities is essential for security posture and cost attribution. Each model shifts a different portion of the shared-responsibility stack to the provider.
• Vertical compliance – BFSI and healthcare workloads require explicit verification of provider certifications (SOC 2, ISO 27001, HIPAA BAA, PCI DSS) before migration planning.
• Multi-cloud strategy – The breadth of named competitors in this space underscores why multi-cloud governance tooling (cost management, policy enforcement, identity federation) has become a primary concern for platform engineering teams.

Source: themarketsegment.com / Innovate Insights – Public Cloud Service Market Research Report 2018–2026 (referenced September 2019).

Overview

Continuous Integration (CI) for Salesforce metadata differs from traditional software CI because deployments target a cloud platform rather than a compiled binary. The Salesforce Metadata API, exposed through the ANT Migration Toolkit, is the standard mechanism for scripted deployments. By combining TFS (or its cloud-hosted equivalent, Visual Studio Team Services) with Apache ANT, teams can trigger automated retrieve-and-deploy cycles on every code commit or on a schedule.

This guide uses the cloud-hosted version of TFS (Visual Studio Team Services) to avoid the overhead of maintaining a local TFS installation, but the same build definition steps apply to an on-premises TFS server.

Prerequisites

• A Microsoft account (used to sign in to Visual Studio Team Services)
• Apache ANT installed on your local machine for local testing
• The Salesforce ANT Migration Toolkit (ant-salesforce.jar), downloaded from your Salesforce org’s Setup page
• A Git client (for example, TortoiseGit) for pushing code to TFS
• Credentials for the source and target Salesforce orgs

Step 1: Create a Developer Account on Visual Studio Team Services

Navigate to https://www.visualstudio.com/ and choose Get Started for free under the Visual Studio Team Services section. If you do not already have a Microsoft developer account, you will be prompted to create one during sign-up. Once registered, you will land in the VSTS dashboard where you can create your first Team Project.

Step 2: Create a TFS Git Repository for Your Salesforce Metadata

One advantage TFS has over Jenkins-based CI setups is that source control is built in — you do not need a separate GitHub or Bitbucket account. After logging in, use the New Project wizard to create a project. The wizard is straightforward: provide a project name, choose a version control type (select Git), and choose a process template.

Once the project exists, clone the repository to your local machine using any Git client. For authentication you can use your VSTS username and password, or generate an SSH key pair and register the public key in your VSTS profile under Security > SSH public keys. SSH key authentication is recommended for CI agents because it avoids storing plain-text passwords.

Step 3: Create and Test the ANT Deployment Script Locally

Before wiring ANT into TFS, verify that the scripts work correctly on your local workstation. You need two files in the root of your repository: build.properties (credentials and environment URLs) and build.xml (the ANT targets).

build.properties

This file stores environment-specific values. Keep it in version control for non-sensitive settings, but consider externalising passwords as TFS build variables or secrets so that plain-text credentials are never committed to source control.

# build.properties

# Server URLs
sfSandbox.serverurl = https://test.salesforce.com
sfPRO.serverurl    = https://login.salesforce.com

# Source org (retrieve)
sfdc.cb.df14.username        = your-source-org@example.com
sfdc.cb.df14.password        = yourPasswordPlusSecurityToken
sfdc.cb.df14.retrieveTarget  = src
sfdc.cb.df14.unpackaged      = src/package.xml
sfdc.cb.df14.retrieveMessage = Retrieve metadata from source Salesforce org

# Target org (deploy)
sfdc.cb.df15.username        = your-target-org@example.com
sfdc.cb.df15.password        = yourPasswordPlusSecurityToken
sfdc.cb.df15.retrieveTarget  = src
sfdc.cb.df15.unpackaged      = src/package.xml
sfdc.cb.df15.retrieveMessage = Deploy metadata to target Salesforce org

# Salesforce ANT JAR — path relative to repository root
sfdcJarFile = ant-salesforce.jar

build.xml

The build.xml file defines two ANT targets: df14 retrieves metadata from the source org, and deploy pushes that metadata to the target org. Notice that classpath points to ${sfdcJarFile}, which resolves to a path relative to the repository root. This is essential for cloud CI agents that have no pre-installed copy of the Salesforce JAR, so the JAR must be committed to the repository alongside the build scripts.

<project name="Deployment Scripts" default="deploy" basedir="." xmlns:sf="antlib:com.salesforce">

    <property file="build.properties"/>

    <!-- Retrieve metadata from source org -->
    <target name="df14">
        <taskdef resource="com/salesforce/antlib.xml"
                 uri="antlib:com.salesforce"
                 classpath="${sfdcJarFile}"/>

        <echo message="Retrieving as: ${sfdc.cb.df14.username}"/>

        <sf:retrieve
            username="${sfdc.cb.df14.username}"
            password="${sfdc.cb.df14.password}"
            serverurl="${sfPRO.serverurl}"
            retrieveTarget="${sfdc.cb.df14.retrieveTarget}"
            unpackaged="${sfdc.cb.df14.unpackaged}"/>
    </target>

    <!-- Deploy metadata to target org -->
    <target name="deploy">
        <taskdef resource="com/salesforce/antlib.xml"
                 uri="antlib:com.salesforce"
                 classpath="${sfdcJarFile}"/>

        <sf:deploy
            username="${sfdc.cb.df15.username}"
            password="${sfdc.cb.df15.password}"
            serverurl="${sfPRO.serverurl}"
            deployRoot="src"
            maxPoll="1000"
            testLevel="NoTestRun"
            checkOnly="false"
            pollWaitMillis="10000"
            rollbackOnError="true"/>
    </target>

</project>

To test locally, run the following command from the repository root:

ant df14 deploy

The df14 target retrieves metadata from the source Salesforce instance; the deploy target then pushes that retrieved metadata to the target instance. Confirm that both targets complete without errors before moving to the TFS build definition.

Files to commit to the repository

• build.xml
• build.properties (with passwords replaced by TFS build variables in production)
• ant-salesforce.jar — the Salesforce Migration Toolkit JAR, committed so the TFS cloud agent can find it
• src/package.xml — your metadata manifest
• src/ — the retrieved metadata directory

Step 4: Create a New Build Definition in Team Foundation Server

With the scripts in the repository, you can now tell TFS how to run them automatically.

In the VSTS portal, navigate to Build & Release → Builds → New definition and select the ANT template.

Select the repository and branch

On the repository selection screen, choose your TFS-hosted Git repository. You can also connect to GitHub, a remote Git server, or SVN if your code lives elsewhere. Select the branch you want this build definition to monitor. TFS supports multiple build definitions per project, so you can configure, for example, a nightly build on main and a triggered build on a develop branch independently.

Configure the ANT build step

In the build steps editor, configure the ANT task:

• ANT build file: build.xml
• Options: specify the targets to run, for example df14 deploy, or leave blank to use the default target defined in build.xml
• JDK version: ensure a compatible JDK is selected on the build agent

Save the build definition. You can trigger it manually the first time using the Queue build button to confirm everything works end to end before enabling a continuous integration trigger.

Security Considerations

Storing Salesforce credentials in build.properties and committing that file to source control is convenient for demonstration purposes but is a security risk in production. Instead:

• Define Salesforce usernames and passwords as TFS/VSTS build variables marked as secret. Reference them in build.xml using ANT property overrides passed via the build options field (e.g., -Dsfdc.cb.df15.password=$(SF_PASSWORD)).
• Use a connected app with OAuth and a session ID instead of username/password where your tooling supports it.
• Consider whether committing ant-salesforce.jar to Git is appropriate for your organisation; an alternative is to download it as an artifact during the build using a script step.

Summary

Setting up Salesforce CI with TFS involves four main steps: creating a VSTS account and project, pushing your Salesforce metadata and ANT scripts (including the Salesforce JAR) to the built-in Git repository, validating the ANT script locally, and then creating an ANT build definition in TFS that executes the same script on every commit or on a schedule. The integrated source control in TFS/VSTS reduces the number of third-party tools required compared to a Jenkins-based approach, making it a practical choice for teams already in the Microsoft ecosystem.

Original source: jitendrazaa.com