Chinese AI accelerator suppliers—led by Cambricon and Huawei—are poised to capture nearly 90% of China's domestic market by end of 2026, up from 45% in 2025, according to TrendForce analysis. NVIDIA's share in the country has collapsed from 66% in 2024 to 40% in 2025 and an estimated 8% by 2026, a direct result of U.S. export controls and Beijing's mandate to shift away from foreign silicon. Huawei shipped 812,000 AI accelerators in 2025 (20.3% share), Alibaba's T-Head shipped 265,000 (6.6%), while Cambricon and Kunlunxin each supplied roughly 116,000 units, far below NVIDIA's 2.2 million-unit share.
The transition relies on a dual-track strategy: merchant suppliers like Huawei and Cambricon expand public GPU offerings, while hyperscalers (Alibaba, Baidu, ByteDance, Tencent) deploy custom ASICs optimized for their workloads. To achieve 90% domestic share, China's semiconductor industry must increase AI accelerator output by 2.2x in a single year—a substantial lift even as SMIC reported 36% YoY revenue growth in Q2 2026. A critical bottleneck: lack of domestic high-bandwidth memory (HBM). Huawei has acquired Samsung HBM2 stock, but China's CXMT is not expected to produce HBM3 until late 2026.
For practitioners, this marks a geopolitical inflection point. China is systematically replacing foreign GPU infrastructure with indigenous suppliers, risking fragmentation of the global AI ecosystem along trade lines. Nvidia's CUDA dominance persists (most Chinese models unofficially use CUDA), but the hardware abstraction layer is eroding. Architects shipping in China must plan for vendor lock-in and divergent software stacks; global model providers will face pressure to optimize for non-CUDA targets or risk margin compression in the world's second-largest AI market.