This article is based on a market overview originally published by Medgadget, citing research from Market Research Future (MRFR). Specific market size figures and forecast numbers from the original MRFR report are not reproduced here because they could not be independently verified at time of writing.
Why Healthcare Cloud Computing Is Growing
The global healthcare sector is one of the most demanding environments for IT infrastructure. Clinicians, administrators, insurers, and patients all depend on systems that must be simultaneously fast, secure, and always available. Cloud computing has emerged as the architecture best positioned to meet those requirements at scale.
According to a market analysis by Market Research Future (MRFR), the global healthcare cloud computing market is expected to register strong growth over the coming years. Key growth drivers identified in the report include:
- Internet of Things (IoT) integration — connected medical devices, wearables, and remote patient monitoring equipment generate continuous data streams that require scalable cloud backends to ingest, store, and analyse.
- Increased capital investment — both private funding and government healthcare digitisation programmes are pushing spending into cloud-native health platforms.
- Regulatory pressure for interoperability — mandates around electronic health records (EHR) and patient data portability are incentivising migration away from on-premises silos.
- Workflow efficiency demands — cloud platforms reduce the overhead of managing on-premises hardware and enable geographically distributed care teams to collaborate in real time.
Barriers to Adoption
Despite positive momentum, the market faces meaningful friction points that DevOps and healthcare IT teams should plan for:
- High initial migration costs — lifting legacy clinical systems to cloud infrastructure often requires significant re-engineering, staff retraining, and data migration effort.
- Workforce skill gaps — operating cloud-native healthcare platforms requires trained personnel who understand both cloud architecture and healthcare compliance frameworks such as HIPAA in the United States or GDPR in Europe.
- Security and compliance complexity — healthcare data is among the most regulated in the world. Shared responsibility models, audit logging, and data residency requirements add layers of operational complexity that standard DevOps pipelines must account for.
Market Segmentation: Applications, Deployment, and Services
By Application
The MRFR report divides healthcare cloud applications into two broad categories:
- Clinical Information Systems (CIS) — includes Electronic Health Records (EHR), Computerised Physician Order Entry (CPOE), and Pharmacy Information Systems (PIS). EHR migration to cloud is the fastest-growing sub-segment, driven by interoperability mandates and the need for real-time data access across care settings.
- Non-Clinical Information Systems (NCIS) — covers administrative, billing, scheduling, and operational workloads. These workloads are often the first to move to cloud because they carry lower compliance risk than clinical data.
By Deployment Model
Healthcare organisations are adopting all three major deployment models, though priorities differ by organisation size and regulatory context:
- Public cloud — lowest operational overhead; suitable for non-sensitive workloads and organisations with strong cloud-native security controls.
- Private cloud — preferred by large hospital networks and insurers that need maximum control over data sovereignty and network isolation.
- Hybrid cloud — the fastest-growing deployment model according to the MRFR report. Hybrid architectures allow organisations to keep sensitive patient data on-premises or in a private environment while leveraging public cloud elasticity for analytics, AI, and development workloads.
By Service Model
- Software-as-a-Service (SaaS) — the dominant service model in healthcare cloud. Vendors deliver EHR, telehealth, and revenue cycle management platforms on a subscription basis, reducing the need for organisations to manage underlying infrastructure.
- Platform-as-a-Service (PaaS) — used by health technology developers to build and deploy clinical applications without managing servers. Relevant for teams building IoT data pipelines and ML inference services.
- Infrastructure-as-a-Service (IaaS) — gives organisations maximum control over their stack. Common in scenarios involving large-scale medical imaging storage or HPC workloads for genomics.
By End User
Primary end users span both the provider and payer sides of healthcare:
- Healthcare providers — hospitals, clinics, diagnostic labs, and ambulatory care centres.
- Healthcare payers and plan administrators — insurers and managed care organisations using cloud platforms for claims processing, member engagement, and fraud detection.
Regional Outlook
North America
North America holds the largest share of the healthcare cloud computing market. The United States and Canada benefit from mature IT infrastructure, a large installed base of EHR systems eligible for cloud migration, and strong venture investment in digital health. US regulatory frameworks such as HIPAA and the 21st Century Cures Act create compliance pressure that effectively accelerates cloud adoption, because cloud providers with HIPAA Business Associate Agreements (BAAs) can offer compliance infrastructure that small healthcare organisations could not afford to build themselves.
Europe
Europe is following a similar growth trajectory. Countries including Germany, France, the UK, and Italy are investing in national health digitisation programmes. GDPR imposes strict data residency and processing rules, making the choice of cloud provider and region a critical architectural decision for European healthcare DevOps teams.
Asia Pacific
Asia Pacific represents a high-growth opportunity. Emerging economies in the region are leapfrogging legacy on-premises infrastructure and deploying cloud-first health platforms. Government investment in public health infrastructure and the large patient population make this a priority region for global cloud and health technology vendors.
Key Players in the Healthcare Cloud Market
The competitive landscape spans major cloud hyperscalers, established health IT vendors, and specialist healthcare technology companies. Organisations named in the MRFR research include:
- Microsoft Corporation
- IBM Corporation
- Oracle Corporation
- GE Healthcare
- Siemens Healthineers
- Cerner Corporation
- athenahealth Inc.
- NextGen Healthcare
- Nuance Communications
- CareCloud Corporation
- ClearData Networks Inc.
- Agfa-Gevaert N.V.
- Carestream Corporation
- Merge Healthcare Inc.
- Sectra AB
- Dell Inc.
This mix illustrates an important architectural reality: healthcare cloud is not dominated by a single hyperscaler. Specialist vendors like ClearData focus exclusively on HIPAA-compliant cloud operations, while large vendors like Microsoft Azure and IBM Cloud offer dedicated healthcare cloud solutions with built-in compliance tooling.
Industry Developments
The COVID-19 pandemic in early 2020 acted as a forcing function for healthcare cloud adoption. One notable example: in March 2020, Qumulo announced it would make its cloud storage service available free of charge to healthcare organisations responding to the pandemic, reflecting a broader trend of technology vendors accelerating access to cloud tools during the public health emergency.
Microsoft has also stated plans to increase investment in its healthcare cloud research and platform capabilities, recognising the sector as a strategic growth area. Microsoft Cloud for Healthcare, launched subsequently, bundles compliance, data integration, and Teams-based telehealth capabilities into a single offering — a pattern other hyperscalers have also followed.
IoT and the Cloud: The Core Technical Driver
From a DevOps perspective, the most important structural shift in healthcare cloud is the emergence of IoT as a first-class workload. Connected medical devices — infusion pumps, patient monitors, implantable cardiac devices, wearables — now generate telemetry that clinical teams need to act on in near real time.
This creates several infrastructure requirements that cloud platforms are uniquely positioned to address:
- Scalable message ingestion — services such as Azure IoT Hub, AWS IoT Core, or Google Cloud IoT Core handle millions of device messages per second without requiring teams to manage broker infrastructure.
- Edge processing — latency-sensitive clinical alerts must be processed at the edge before data reaches the cloud. IoT Edge runtimes allow containerised inference models to run on-device or on local gateways.
- Data lake integration — raw device telemetry feeds into cloud data lakes where it can be joined with EHR data for population health analytics and ML model training.
- Security at scale — device identity management, certificate rotation, and over-the-air firmware updates are operationally impractical without cloud-native device management services.
Healthcare DevOps teams building on this architecture need to design pipelines that treat compliance (audit trails, encryption at rest and in transit, access controls) as a first-class engineering requirement — not an afterthought.
Summary
Healthcare cloud computing is moving from early adoption to mainstream deployment. IoT integration is the most technically significant driver, creating demand for scalable, secure, and low-latency cloud architectures. Hybrid cloud is the dominant deployment model for organisations balancing compliance requirements with the operational benefits of public cloud. For DevOps engineers working in or adjacent to healthcare, the key skills are cloud security, compliance automation, and IoT data pipeline design — all underpinned by a solid understanding of the regulatory environment in each target market.