China Data Center Industry: Infrastructure for AI and Cloud
China's data center industry has entered a period of explosive growth driven by AI training and inference demands. In 2025, the market reached 800 billion RMB with over 10 million server racks in operation. Major clusters in Guian (Guizhou), the Beijing-Tianjin-Hebei region, and the Greater Bay Area are expanding rapidly to meet demand from cloud providers and AI companies.
TL;DR
China's data center market reached 800 billion RMB in 2025 with 10 million+ server racks. AI training and inference drove 60% of new capacity demand. PUE (Power Usage Effectiveness) improved to an average of 1.35. The Guian cluster alone hosts 4 million+ racks, making it the world's largest data center concentration.
Key Insights
Market Size
China's data center industry generated 800 billion RMB in revenue, including construction, operations, and services. The market grew 25% year-over-year, primarily driven by AI computing demand from large model training.
Server Racks
China operated over 10 million standard server racks across 8,000+ data centers. GPU-heavy AI racks account for an increasingly large share, with NVIDIA A100/H100 and Huawei Ascend chips dominating.
AI Computing Demand
AI-related computing demand accounted for 60% of all new data center capacity additions in 2025. Training large language models requires massive GPU clusters with high-bandwidth networking.
Average PUE
Power Usage Effectiveness improved to an average of 1.35 across Chinese data centers, down from 1.42 in 2024. Leading facilities achieved PUE below 1.15 through liquid cooling and renewable energy integration.
Side-by-Side Comparison
| Cluster | Racks | Key Advantage | Major Tenants | PUE |
|---|---|---|---|---|
| Guian (Guizhou) | 4M+ | Cool climate + cheap power | Tencent, Apple, Huawei | 1.30 |
| Beijing-Tianjin-Hebei | 2M+ | Proximity to users | Baidu, Alibaba, ByteDance | 1.35 |
| Greater Bay Area | 2M+ | Financial + tech demand | Tencent, Huawei, SF | 1.40 |
| Yangtze Delta | 1.5M+ | Enterprise customers | Alibaba, MS, AWS | 1.38 |
| Others | 0.5M+ | Regional coverage | Various | 1.45 |
Frequently Asked Questions
Guian New Area in Guizhou province has become the world's largest data center cluster for several reasons: cool climate with average temperatures of 15 degrees Celsius, reducing cooling costs by approximately 30% compared to coastal locations; abundant and cheap hydropower and wind power with electricity costs at 0.35 RMB per kWh versus 0.7-1.0 RMB in eastern provinces; stable geological conditions with minimal earthquake risk; strong government policy support including tax incentives, land subsidies, and priority power allocation; strategic location in western China supporting the government's 'East Data, West Computing' initiative; and high-speed fiber optic connections to major cities ensuring low latency. Major tenants include Tencent (which has built multiple massive data centers there), Apple (iCloud China data), Huawei, and numerous government and enterprise customers. The cluster now hosts over 4 million server racks and continues to expand rapidly.
China's 'East Data, West Computing' (Dongshu Xisuan) policy, launched in 2022, aims to relocate data processing from energy-scarce eastern provinces to energy-abundant western provinces. The policy designates eight national computing hubs: Beijing-Tianjin-Hebei, Yangtze Delta, Guangdong-Hong Kong-Macao, Chengdu-Chongqing, Inner Mongolia, Guizhou, Gansu, and Ningxia. Eastern hubs handle latency-sensitive workloads (financial trading, real-time services), while western hubs handle compute-intensive but latency-tolerant workloads (AI model training, big data analytics, backup and disaster recovery). The policy has driven 500 billion RMB in infrastructure investment and reduced the energy burden on eastern grid systems. However, implementation challenges include the need for high-bandwidth inter-province network connections (which add latency), the complexity of distributed computing architectures, and the fact that western provinces need to develop sufficient technical talent pools. Despite these challenges, the policy has successfully reduced data center energy costs by 30-50% for workloads relocated to western hubs.