North American Data Center GPU Market Size, Share, Analysis & Statistics to 2030

The North American data center GPU market is projected to reach USD 79.81 billion by 2030 from USD 43.19 billion in 2025, at a CAGR of 13.1% from 2025 to 2030. The North American data-center GPU market is expanding rapidly as enterprises, hyperscalers, and research institutions accelerate the adoption of AI, machine learning, and high-performance computing across various sectors. Growth is driven by the increasing deployment of GPU-optimized workloads such as fraud analytics, autonomous systems, large-scale recommendation engines, and advanced natural language models, all of which demand parallel compute capabilities beyond traditional CPUs. Continued investments by major cloud providers, increasing enterprise AI integration, and the rise of GenAI applications are further propelling the region’s transition toward GPU-accelerated data-center architectures.

The North America data center GPU market will expand as hyperscalers and enterprises accelerate investments in AI, generative AI, and high-performance computing, which require massive parallel processing capabilities. Growing adoption of cloud services, rising GPU-rich server deployments, and continuous product launches from players like NVIDIA, AMD, and Intel further reinforce sustained market growth.

While today’s revenue mix is driven largely by M2M and deep learning applications, the shift toward new use cases—such as generative AI, edge intelligence, cloud virtualization, and HPC—is expected to significantly expand the market. As industries, including enterprise, financial services, manufacturing, healthcare, and government, accelerate their adoption of AI, clients are increasingly prioritizing real-time AI solutions, cloud-based services, digital twins, and metaverse-aligned capabilities, driving substantial long-term revenue transformation.

The North American data center GPU market in North America is supported by a strong combination of semiconductor leaders, server manufacturers, and hyperscale cloud providers that drive demand for accelerated computing. Leading chip manufacturers such as Intel, AMD, and NVIDIA supply high-performance GPUs and AI accelerators to support next-generation workloads. Downstream, major server OEMs and ODMs, including Inventec, Dell Technologies, and Hewlett Packard Enterprise, integrate these processors into scalable data center architectures. The supply chain is further strengthened by raw material and equipment specialists like SMC Global, Applied Materials, and SK Inc. Materials, who enable advanced manufacturing capabilities. On the demand side, hyperscalers such as AWS, Google Cloud, and Microsoft Azure remain the principal adopters, deploying GPU-rich infrastructure to power AI, HPC, analytics, and cloud-native applications across the region.

US to be fastest-growing country in North American data center GPU market during forecast period

The US is expected to be the fastest-growing market in North America, primarily due to the presence of major hyperscalers, including AWS, Microsoft, Google, and Meta. These companies are actively expanding their GPU-accelerated infrastructure to support AI, generative models, and high-performance computing (HPC) workloads. The country’s robust ecosystem of semiconductor innovators, including NVIDIA, AMD, and Intel, further drives the adoption of new technologies. Additionally, significant enterprise digitalization, substantial investments in AI, and the rapid deployment of large-scale data centers position the US as the primary growth engine in the region.

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In the North American data center GPU market matrix, NVIDIA (Star) maintains a commanding lead with its dominant market share, extensive product ecosystem, and advanced GPU architectures powering AI training, generative AI, HPC, and enterprise workloads across hyperscalers and large enterprises. AMD (Emerging Leader) is gaining strong traction with its Instinct series, offering high-performance accelerators that appeal to cloud providers and data center operators seeking competitive alternatives for scalable AI and compute-intensive applications. While NVIDIA continues to lead through innovation, ecosystem depth, and strategic partnerships with AWS, Azure, Google Cloud, and Oracle, AMD’s rapid advancements and expanding adoption signal its growing potential to move closer to the leaders' quadrant as demand for diverse and cost-efficient GPU solutions accelerates across the region.