Source: ecns.cn (original report published May 2018). Statistics and quotes in this article are attributed to the China Academy of Information and Communications Technology (CAICT) and cited industry figures.
China’s D-Economy Enters a New Phase
China’s digital economy — often referred to as the D-economy — has entered what government-affiliated researchers are calling a “golden era,” according to experts at the China Academy of Information and Communications Technology (CAICT), a state-backed think tank. Technologies including cloud computing, big data, and artificial intelligence (AI) are accelerating the transformation of multiple industries and are increasingly recognized as a primary engine of national economic growth.
Lu Chuncong, Director of the Policy and Economic Research Institute at CAICT, framed the shift in strategic terms: “The country’s digital economy has stepped into a new phase, with the focus shifting from high-speed growth to both quantity and quality development.”
Key Economic Figures (2017)
CAICT data from 2017 highlights the scale and velocity of China’s digital expansion:
- 27.2 trillion yuan (~$4.31 trillion USD) — total scale of the digital economy in 2017
- 20% year-on-year growth — significantly outpacing China’s overall GDP growth of 6.9% in the same period
- 33%+ contribution to GDP — the digital economy exceeded one-third of China’s total GDP of approximately 82 trillion yuan
- 171 million workers — employed in digital economy-related sectors, representing roughly 22% of total national employment
Lu noted that the digital economy’s GDP contribution is expected to approach or even surpass comparable figures seen in developed economies, a benchmark that signals China’s ambition to move beyond being a manufacturing hub toward becoming a knowledge-driven economic powerhouse.
From Follower to Leader: Technology Innovation
A consistent theme in CAICT’s assessment is the shift in China’s positioning in global technology. Where the country was historically a technology adopter — following standards and timelines set by Western nations and Japan — the information technology and telecommunications sectors are now cited as areas where China has taken on a leadership role.
The transition to 5G is the clearest illustration of this shift. China lagged in the issuance of 3G and 4G licenses, entering those generational cycles behind other markets. With 5G, however, China has been an active participant in shaping global standards in partnership with international bodies and technology vendors.
“5G is just a few steps away from commercial use, with companies competing and cooperating with each other to establish a beachhead in the technology.”
— Xiang Ligang, CEO of a telecoms industry website (quoted May 2018)
At the time of the original report (May 2018), 5G devices were projected to be ready for commercial deployment in China by 2019, with national license issuance expected between the second half of 2019 and first half of 2020.
Cloud Computing, Big Data, and AI as Industry Transformers
The CAICT analysis points to three technology categories as the primary drivers enabling industrial transformation:
- Cloud Computing: Provides the scalable infrastructure required for large-scale data processing and application deployment across public and private sector organizations.
- Big Data: Enables enterprises and government bodies to derive actionable insights from massive datasets — from supply chain optimization to public health monitoring.
- Artificial Intelligence: Powers automation, predictive analytics, natural language processing, and computer vision capabilities increasingly embedded into commercial products and government services.
Together, these technologies form the technical substrate of what CAICT categorizes as the D-economy — where digital processes and digital value creation are inseparable from physical economic activity.
Acknowledged Gaps and Future Priorities
While the overall assessment is optimistic, CAICT’s Lu Chuncong was candid about areas where China continues to trail developed nations, particularly in core and foundational technologies. These gaps — which may include areas such as semiconductor design, operating systems, and advanced materials — require deliberate investment and research prioritization.
Lu outlined several strategic priorities:
- Strengthening foundational and basic technologies, not just application-layer innovation
- Anticipating and mapping next-generation technologies ahead of their commercial maturity
- Expanding pathways between academic basic research and applied technology innovation
- Increasing public investment and attracting industry-oriented private investment into key and underdeveloped technology areas
This frank acknowledgment of gaps alongside growth metrics reflects a nuanced policy posture: celebrate progress while mobilizing resources to address structural weaknesses before they constrain future competitiveness.
Context for DevOps and Cloud Practitioners
For engineering teams operating in or targeting Asia-Pacific markets, the trajectory described in this 2018 CAICT report is relevant context. China’s rapid build-out of cloud infrastructure, its large developer workforce, and national-level investment in AI and big data tooling have all shaped the competitive landscape for cloud platforms, DevOps toolchains, and data engineering practices operating in the region. Understanding the policy and economic drivers behind technology adoption in China helps practitioners anticipate both opportunities and constraints in that market.