Huawei Poised to Claim China's AI Chip Crown by 2026

NVIDIA Constrained, Huawei Seizes a Historic Opportunity

China's AI chip market is undergoing a profound reshaping. According to the latest reports from multiple industry research firms, Huawei is steadily marching toward the throne of China's AI chip market and could replace NVIDIA as the country's largest AI chip supplier as early as 2026. Behind this turning point lies the U.S. government's increasingly tightened export control policies and Beijing's resolute strategic commitment to achieving self-sufficiency in domestic AI hardware.

NVIDIA's latest-generation H200 chips are currently mired in a regulatory "gray zone" when it comes to shipments to China. Customs approval delays and export license uncertainties have left a large volume of orders in limbo. Meanwhile, Huawei's Ascend series of AI chips is filling this market vacuum at an unprecedented pace.

$67 Billion: A Market Too Big to Ignore

Analysts forecast that by 2030, China's domestic AI chip market will reach approximately $67 billion (about 480 billion yuan) — a figure that has turned heads across the global semiconductor industry.

Multiple factors are driving this growth:

• Explosive demand for large model training: The AI arms race among tech giants such as Baidu, Alibaba, Tencent, and ByteDance continues to intensify, with demand for high-performance AI computing power growing exponentially.
• Strong policy support: Beijing has explicitly designated AI chip self-sufficiency as a national strategic priority, with support ranging from funding subsidies to government procurement preferences.
• Supply chain security concerns: The prolonged nature of the U.S.-China tech rivalry is pushing Chinese enterprises to accelerate their "de-NVIDIA" efforts.
• Expanding application scenarios: From autonomous driving to smart cities, from industrial IoT to AI agents, computing demand is spreading comprehensively from the cloud to the edge.

NVIDIA's China Predicament

NVIDIA's situation in the Chinese market is becoming increasingly difficult. Since the U.S. Department of Commerce first imposed export controls on high-end AI chips in 2022, NVIDIA has been forced to roll out downgraded products for the Chinese market multiple times — from the A100 to the H100 to the H800 — with each compliance adjustment accompanied by significant performance cuts.

Now, even chips specifically designed for compliance face increasingly stringent scrutiny. The stalled H200 shipments to China are the latest example. According to sources familiar with the matter, H200 orders from multiple Chinese cloud computing companies have been stuck at customs for months, with no clear timeline for clearance.

This uncertainty deals a double blow to NVIDIA: in the short term, it directly impacts revenue; in the long term, it is accelerating the migration of Chinese customers toward domestic alternatives. Once customers complete the switch in their software ecosystems, it will be extremely difficult for NVIDIA to reclaim lost market share even if controls are relaxed in the future.

Huawei Ascend: From Follower to Challenger

Huawei's Ascend series chips are becoming the core force behind China's domestic AI chip substitution drive. Currently, the Huawei Ascend 910B has been deployed at scale across multiple leading Chinese internet companies and telecom operators, while the more powerful Ascend 910C has entered mass production and delivery.

Huawei's advantages extend well beyond chip hardware:

A maturing ecosystem: Huawei has built a full-stack AI software ecosystem around the Ascend chip, including the CANN operator library, the MindSpore framework, and the ModelArts development platform, steadily narrowing the gap with NVIDIA's CUDA ecosystem.

Ramping production capacity: Despite constraints on advanced process nodes, Huawei is continuously improving chip output and yield rates through deep collaboration with domestic foundries such as SMIC, as well as innovative applications of advanced packaging technologies.

Deep roots in government and enterprise markets: In key sectors such as government, telecommunications, and finance, Huawei enjoys channel advantages and a customer trust base that NVIDIA cannot easily match.

That said, objectively speaking, a notable performance gap still exists between Huawei's Ascend chips and NVIDIA's latest products. Industry insiders generally estimate that the Ascend 910B's single-chip performance is roughly 70%–80% that of NVIDIA's A100, with the gap widening further compared to the H100 and H200. However, in the unique context of the Chinese market, "available" is becoming more important than "optimal."

A Crowded Arena: Not Just Huawei's Battlefield

It is worth noting that Huawei is far from the only competitor on China's AI chip track. A host of domestic AI chip companies — including Cambricon, Hygon Information, Enflame Technology, Biren Technology, and Moore Threads — are also racing to catch up, each targeting different market segments.

• Cambricon: As the leading A-share AI chip company, its Siyuan series chips continue to gain traction in inference workloads.
• Hygon Information: The Deep Computing Unit (DCU) series is seeing increasing deployment in high-performance computing and AI training.
• Enflame Technology: The CloudBlazer series is gradually opening up the market in cloud computing and intelligent computing center scenarios.

However, in terms of overall capabilities, ecosystem completeness, and market share, Huawei remains the player in the domestic camp most likely to challenge NVIDIA's position.

Challenges and Uncertainties

Huawei's path to the top is far from smooth and still faces multiple challenges:

Process node bottleneck: Under U.S. sanctions, Huawei cannot access the most advanced EUV lithography equipment or sub-7nm foundry services, fundamentally capping chip performance potential.

The CUDA ecosystem moat: The CUDA ecosystem that NVIDIA has built over more than a decade boasts millions of developers and a vast library of optimized code — a moat that cannot be fully breached in the short term. Many AI researchers and engineers still face significant migration costs when switching to the Ascend platform.

Limited international market access: Unlike NVIDIA's global footprint, Huawei's AI chips can currently be sold almost exclusively in the Chinese market, meaning its R&D cost amortization potential is relatively limited.

Technology iteration pressure: NVIDIA's pace of technological evolution is extremely fast — from the H100 to the H200 to the upcoming B200 and GB200, each generation widens the performance gap. Huawei must find a balance between "catching up" and "innovating."

Industrial Restructuring Amid Great Power Rivalry

From a broader perspective, the shifting landscape of China's AI chip market is essentially a direct reflection of the U.S.-China tech rivalry in the semiconductor domain. Beijing is pushing for domestic substitution in AI hardware with unprecedented determination and intensity — from the "new whole-nation system" approach to special funds at all levels of government, from domestic sourcing requirements for intelligent computing center construction to procurement preferences for research projects — the policy signals are crystal clear.

For China's AI industry, this represents both a forced "weaning" and a rare window for indigenous innovation. When the world's largest AI application market is combined with the strongest political will for domestic substitution, the energy released should not be underestimated.

Outlook

Looking ahead to 2026 and beyond, China's AI chip market will most likely exhibit the following trends:

First, Huawei Ascend's market share will continue to climb. If NVIDIA export controls are further tightened, it is highly probable that Huawei will become the largest AI chip supplier by shipment volume in the Chinese market by 2026.

Second, the software ecosystem for domestic AI chips will mature at an accelerated pace, and CUDA's monopoly in the Chinese market will be gradually eroded.

Third, China's AI chip industry will evolve from pure "substitution" toward "differentiated innovation," potentially forging unique technological paths in specific scenarios and architectures.

Fourth, whether the $67 billion market projection materializes will depend critically on the commercialization progress of China's AI application ecosystem — only when downstream applications truly flourish can upstream chip demand be sustainably unleashed.

A protracted chip war over technological sovereignty is now fully underway, and 2026 may prove to be a pivotal turning point in this contest.