Nvidia’s once near-total dominance in China’s AI accelerator server market has sharply eroded. Data indicates that Chinese GPU and AI chipmakers captured nearly 41% of this market in 2025, a significant retreat from Nvidia’s prior position. While Nvidia still held a 55% share with approximately 2.2 million cards shipped last year, this figure represents a substantial decline in what was once a key overseas revenue stream.
This shift is not merely a market fluctuation; it is a direct consequence of two intertwined pressures. First, successive waves of U.S. export controls have cut China off from Nvidia’s most advanced products. Second, Beijing has actively pushed government agencies and companies to adopt domestic alternatives, often through implicit directives to “buy Chinese” within new waves of AI infrastructure spending.
The Rise of Domestic Alternatives
Huawei Technologies has emerged as the clear leader among Chinese vendors, shipping about 812,000 chips and accounting for roughly half of all domestically branded shipments. Alibaba’s T-Head unit followed with approximately 265,000 cards, while Baidu’s Kunlunxin and Cambricon each shipped around 116,000 cards. Smaller GPU startups like MetaX, Iluvatar CoreX, and Hygon are also gaining traction, collectively chipping away at the remaining market share.
Huawei’s Ascend 910C has become the default chip for Chinese AI developers. While it requires combining two older 910B processors and consumes more power to deliver roughly 60% of Nvidia’s H100 performance on a per-chip basis, Chinese companies are absorbing these costs. Huawei is scaling aggressively, aiming to produce 600,000 Ascend 910C units in 2026, doubling its prior-year output. Including other Ascend models, the company could distribute up to 1.6 million dies in 2026.
More critically, Huawei has developed a full-stack system, the CloudMatrix 384, linking 384 Ascend 910C processors across 16 racks. Analysts note this cluster can outperform Nvidia’s GB200 NVL72 on some metrics, despite consuming four times the power. This demonstrates a strategic pivot from merely replicating chips to building integrated, system-level solutions.
“The challenge is no longer just about export rules. It is about whether Chinese developers who spent two years building workflows around domestic hardware will switch back.”
Nvidia’s own leadership has acknowledged the situation. CFO Colette Kress noted in February that while small amounts of H200 products for China were approved, revenue generation remained uncertain. She also warned that Chinese competitors, bolstered by recent IPOs, “have the potential to disrupt the structure of the global AI industry over the long term.” China, which once contributed 20-25% of Nvidia’s data-center revenue, and 13% of its total revenue in fiscal 2025, has seen its contribution fall further.
A Deeper Structural Shift
The implications extend beyond market share figures. This is a fundamental structural shift, driven by geopolitical imperatives and accelerated by a national industrial policy. China is not simply seeking alternative suppliers; it is actively building an indigenous AI ecosystem from the ground up. This involves not just chip design and manufacturing, but also the development of software stacks, developer tools, and system integration capabilities. The focus on the full stack, as highlighted by analysts, is paramount. Chinese developers are now building workflows, libraries, and applications optimized for domestic hardware like Huawei’s Ascend platform. This creates a significant switching cost, even if U.S. export controls were to ease. The investment in time, training, and intellectual property around a specific architecture forms a powerful lock-in mechanism. For Nvidia, re-entering this market would mean not just selling chips, but convincing an entrenched developer base to migrate their entire operational framework. This is a far more complex challenge than simply navigating trade restrictions. It suggests that even if CEO Jensen Huang successfully lobbies for future Blackwell chip sales to China, the market he re-enters will be fundamentally different, fragmented, and fiercely competitive, with domestic players holding a significant, perhaps irreversible, advantage in terms of ecosystem integration and government backing. The long-term trajectory, as projected by Bernstein, sees Nvidia’s share potentially falling to 8% in 2026, with domestic suppliers collectively approaching 80% and China’s AI chip localization ratio surging to 55% by 2027. This is not a temporary setback; it is a re-architecting of a critical technology supply chain.
Nvidia has not given up. CEO Jensen Huang stated at GTC 2026 that the company had received purchase orders and was restarting manufacturing for H200 chips bound for China. He also continues to lobby for future Blackwell chip sales. However, Washington is only half the problem. Beijing’s continued push for homegrown AI infrastructure means that even if U.S. companies are permitted to sell, the Chinese government may still favor domestic solutions.
The market is changing. The competitive landscape is being redrawn, not just by technological prowess, but by geopolitical will and strategic industrial policy. The era of near-total foreign dominance in China's high-tech sectors is over.
This is a long-term re-calibration of global technology supply chains. Professionals need to understand that the market dynamics are now driven by sovereign strategy as much as by product performance.
