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Lian Jye, chief analyst at Omdia, told RCR Wireless News that China’s position as the world’s largest AI adoption market is pushing significant investment in DCs, compute clusters, and domestic accelerators
In sum – what to know:
China’s AI infrastructure market is massive but uneven – Strong consumer adoption is driving scale, while industrial sectors remain in early stages, creating significant growth potential in enterprise AI deployments.
U.S. export controls are slowing chip progress – Restrictions on advanced semiconductors and manufacturing tools have left Chinese AI chips several generations behind leading global processors.
State policy and telecoms drive deployment – Government programs, cloud providers and telecom operators are building large-scale AI infrastructure through national initiatives and the Five-Year Plan framework.
China’s artificial intelligence infrastructure market is expanding rapidly, driven by massive domestic demand for AI services and strong government support for large-scale computing deployments, according to Lian Jye, chief analyst at Omdia.
The analyst told RCR Wireless News that China’s position as the world’s largest AI adoption market is pushing significant investment in data centers, compute clusters, and domestic accelerators.
“China’s AI infrastructure market is characterized by immense scale, driven by its position as the world’s largest single market for AI adoption in consumer and enterprise applications,” Jye said.
According to the Omdia analyst, the maturity of the market varies across sectors. Consumer-facing AI applications are relatively advanced, while many industrial sectors remain in earlier stages of adoption, leaving room for future growth.
At the same time, geopolitical tensions are shaping China’s technology strategy. U.S. export controls targeting advanced semiconductors and manufacturing tools have slowed progress for Chinese AI chip developers.
“The lack of access to the latest chip fabrication and packaging technologies has left Chinese AI chipsets a few generations behind the industry’s best in processing power and power efficiency,” Jye said.
Despite these constraints, the restrictions have accelerated domestic research and development efforts, including growing interest in open chip architectures. “Overall, the controls have inadvertently boosted indigenous innovation,” he added.
Government policy remains a central force in China’s AI infrastructure expansion. National programs such as the “East Data, West Computing” initiative are designed to distribute compute workloads across regions with abundant power and land resources, the analyst said.
Major cloud providers and telecom operators are also central to this strategy. According to Jye, these companies are building AI infrastructure across the entire technology stack, from chipsets and data centers to AI platforms and enterprise applications.
These efforts are reinforced by policy frameworks such as China’s 15th five-year plan, which promotes large-scale AI deployments through subsidies, pilot zones, and state-backed investment funds.
Looking ahead, the Omdia analyst said opportunities will come from emerging generative AI use cases, including embodied intelligence and the adoption of agentic AI across industries.
However, risks remain. Overbuilding data center capacity, continued chip shortages due to export controls, and broader geopolitical tensions could affect returns on AI infrastructure investments in the Asian nation, according to the analyst.
