Huawei Captures 28% of China's AI Chip Market as Nvidia Slumps

Overview

China’s data-center AI chip market underwent a significant structural shift in the first half of 2026, as Huawei expanded its dominance while Nvidia’s grip on the region weakened considerably. According to an IDC shipment ledger reviewed by Reuters, Huawei captured 28% of the market, surpassing the US tech giant which fell to 34%. This marks a decisive move away from American hardware dominance, driven by restrictive US export controls and a concerted push by Beijing to localize its semiconductor supply chain.

Total accelerator shipments in China reached 2.008 million units during this period, indicating that the market itself continued to grow despite the geopolitical friction. However, the composition of that growth changed dramatically. For the first time, non-GPU accelerators outsold traditional GPUs, signaling a shift toward domestically produced silicon that is less constrained by American licensing agreements.

Key Statistic: Nvidia’s shipments to China dropped 44% year-over-year, while total market shipments grew, with non-GPU accelerators rising nearly 80%.

The data settles a long-running debate regarding the efficacy of Washington’s export controls. Nvidia executives, led by CEO Jensen Huang, have long argued that these regulations are effectively gifting China’s $50 billion AI chip market to local competitors like Huawei. The latest figures confirm that this transfer is well advanced, with Chinese buyers increasingly turning to homegrown alternatives as access to Nvidia’s most powerful chips remains restricted.

Market Dynamics and the Rise of Domestic Chips

Nvidia’s position in China has eroded significantly. The company shipped 678,000 accelerators in the first half of 2026, a figure that is 44% lower than the same period last year. Despite this decline, Nvidia remains the largest single supplier in the market, holding a 34% share. Huawei followed closely with 572,000 units, representing a substantial increase from just over 300,000 units a year earlier.

The broader market landscape reveals a stark divergence between GPU and non-GPU trends. GPUs, which are the standard for training large AI models, saw shipments fall 26% to 991,000 units. This decline is largely attributed to US export rules and Beijing’s requirement that companies obtain government approval to import even compliant Nvidia chips. These regulatory hurdles have created a bottleneck that has stifled demand for American hardware.

In contrast, every other category of accelerator saw robust growth, rising almost 80% to 1.016 million units. This surge pushed non-GPU chips past GPUs by volume for the first time in IDC’s reported period. These alternative accelerators are often better suited for running already-trained models, a use case that is increasingly critical as AI deployment scales across Chinese industries.

Market Composition: Nine of the eleven Chinese chipmakers tracked by IDC grew their shipments, indicating broad-based recovery rather than reliance on a single vendor.

Chinese firms such as Alibaba’s T-Head, Baidu’s Kunlunxin unit, and Cambricon now hold 95% of the non-GPU segment. Together with Huawei, these domestic players have created a resilient ecosystem that is less vulnerable to external supply shocks. The data suggests that Chinese enterprises are not merely substituting one foreign chip for another but are actively building a self-sufficient hardware foundation.

Huawei’s Strategic Positioning

Huawei’s growth is not accidental; it is the result of a deliberate strategy to optimize for cluster performance rather than individual chip specs. Recognizing that its Ascend chips may not match the peak performance of Nvidia’s H100 or A100, Huawei has focused on weaving weaker chips into highly efficient large-scale computing clusters.

The company’s Peerium architecture utilizes UnifiedBus links to enable domestic chips to operate as a single machine. Its Atlas 950 SuperCluster is designed to connect up to 256,000 accelerator cards, allowing customers to scale inference workloads effectively. This approach addresses the binding constraint on China’s AI build-out: not just the availability of chips, but the ability to deploy them at scale.

To support this hardware push, Huawei has accelerated the timeline for its next-generation Ascend 960DT chip. Originally planned for a third-quarter debut, the chip has been pulled forward to the first quarter of 2027. This move signals Huawei’s intent to close the performance gap with Nvidia more quickly than initially expected.

However, Huawei faces its own challenges. Reports indicate that the company struggles to produce enough AI computing equipment to meet the surging domestic demand. Furthermore, its software ecosystem, while growing, still lags behind Nvidia’s CUDA platform in terms of developer adoption. IDC notes that Huawei’s Ascend ecosystem counts approximately 5,270 monthly active developers, a fraction of the millions who use CUDA.

Implications for Nvidia and Future Outlook

For Nvidia, the Chinese market represents a shrinking opportunity that is unlikely to rebound quickly. The company already took a $4.5 billion charge related to H20 inventory, a chip specifically designed for the Chinese market after earlier models were banned. With Washington imposing new license requirements in April 2025, the path for Nvidia to regain its former dominance is obstructed.

Beijing’s industry ministry has signaled that approvals for Nvidia imports may remain difficult to obtain, as seen in recent requests for companies like Alibaba and ByteDance to log their planned purchases. This regulatory environment forces Chinese firms to commit to domestic suppliers, making it difficult for Nvidia to win back customers even if political relations improve.

Looking ahead, IDC expects China’s total accelerator shipments to grow 19% this year, even as GPU shipments continue to fall by an estimated 9%. This divergence highlights the resilience of the domestic industry and the deepening divide between the two technological spheres.

Investor Note: The two critical data points to watch are the Q1 2027 launch of the Ascend 960DT and whether Huawei can scale production to meet the 19% market growth forecast.

The shift in China’s AI chip market underscores a broader decoupling of technology ecosystems. While Nvidia retains its global lead, its loss of ground in China illustrates the long-term consequences of export controls. For Huawei and other Chinese makers, the opportunity is vast, but the challenge now lies in scaling production and refining software tools to sustain this momentum.