BEIJING, China, Nvidia’s shipments of artificial intelligence chips to China declined sharply in the first half of 2026 as US export restrictions and growing competition from domestic semiconductor companies reshaped the country’s technology market.
According to an October 13, 2026, report citing International Data Corporation (IDC) figures, Nvidia shipped approximately 678,000 gaming and workstation chips to China during the first six months of the year, a 44% decrease from the same period in 2025. Its market share fell to 34%, reflecting the challenges facing US technology suppliers in one of the world’s largest markets for computing hardware.
The figures highlight a complicated environment for Nvidia as Chinese technology companies continue to invest in domestic alternatives while demand for AI computing remains strong.
Export Restrictions Reshape the Market
US restrictions on advanced semiconductor exports have limited Chinese companies’ access to certain high performance processors used to develop and operate AI systems. In response, technology companies have explored alternative hardware configurations and increased efforts to develop domestic chips.
Some Chinese buyers have turned to Nvidia’s gaming and workstation products to meet computing needs where more advanced AI processors are difficult to obtain. However, these products are not direct substitutes for every specialised AI accelerator, and their suitability depends on workload requirements and software compatibility.
Export controls have therefore created a market in which hardware availability, technical capability and regulatory compliance all influence purchasing decisions.
Domestic Chipmakers Expand Their Role
Chinese technology companies, including Huawei, Alibaba and Baidu, have been developing or deploying domestic semiconductor products as part of a broader effort to strengthen local computing infrastructure.
Domestic suppliers may benefit from government support, established relationships with Chinese customers and demand for alternatives to restricted foreign technology. Nevertheless, competing with Nvidia involves more than manufacturing chips. Performance, energy efficiency, software tools and developer support all influence whether customers adopt a new platform.
Nvidia’s CUDA software ecosystem has historically been an important advantage because developers can build and optimise applications using established tools. Replicating that ecosystem remains a challenge for competing chipmakers.
AI Demand Remains Strong Despite Market Changes
The decline in Nvidia’s China shipments does not necessarily indicate that demand for AI computing is weakening. Instead, it reflects changes in which suppliers can serve that demand and which products are available under current restrictions.
Chinese companies continue to invest in AI infrastructure, while domestic manufacturers work to increase production and improve performance. The resulting competition could gradually change the balance between imported and locally produced hardware.
For Nvidia, the outlook will depend partly on export policy, product availability and its ability to serve permitted segments of the Chinese market.
What It Means for the Semiconductor Industry
The changing market illustrates how geopolitics and technology competition increasingly influence semiconductor supply chains. Export restrictions can limit commercial opportunities for established suppliers while creating incentives for domestic alternatives.
Investors will watch shipment data, regulatory developments and progress by Chinese chipmakers to assess how the competitive landscape evolves. For the wider technology industry, the key question is whether domestic suppliers can close the performance and software gaps while meeting the growing demand for AI computing.
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