Tuesday, 24 February 2026

Data Center GPU Market Size, Share & Trends, 2025 To 2030

The data center GPU market is projected to reach USD 228.04 billion by 2030 from USD 119.97 billion in 2025, at a CAGR of 13.7% from 2025 to 2030. The rising use of machine learning (ML) and artificial intelligence (AI) drives demand for high-performance datacenter GPUs. Applications like fraud detection, autonomous vehicles, recommendation systems, and natural language processing require strong parallel processing capabilities, making accelerated computing essential for data centers an in turn are drivng market growth.

KEY TAKEAWAYS

  • The North America data center GPU market accounted for a 36.2% revenue share in 2024.
  • By deployment, the on-premises segment is expected to register the highest CAGR of 15.7%.
  • By function, the inference segment is projected to grow at the fastest rate from 2025 to 2030.
  • By end-user, the enteprises segment will grow the fastest during the forecast period.
  • By application, the generative AI segment is expected to dominate the market, growing at the highest CAGR of 14.9%.

 

The data center GPU market is experiencing robust expansion, fueled by the accelerating adoption of artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) workloads across industries. The growing need for parallel processing, low latency, and high computational throughput is driving the integration of advanced GPUs in hyperscale and enterprise data centers. Strategic developments such as NVIDIA’s partnerships with major cloud providers like Amazon Web Services (AWS) and Microsoft Azure, AMD’s launch of the Instinct MI300 series, and Intel’s investments in GPU-based accelerator architectures are transforming the competitive landscape.

Today’s revenue sources, which include technologies such as machine-to-machine (M2M) communication and deep learning, are gradually giving way to newer, high-value opportunities driven by rapid advancements in computing and AI. The market is shifting toward large language models, high-performance computing (HPC), and the rise of autonomous vehicles, which are emerging as the key growth areas shaping the future revenue mix. These developments are enabling transformative technologies such as generative AI, AI inference at the edge, data center virtualization, cloud gaming, HPC, and cryptocurrency mining. As these innovations mature, their influence extends to major industries including enterprise and financial services, manufacturing, healthcare, government, and private entities. This evolution is leading to a notable revenue shift among clients, who are increasingly focusing on AI-powered solutions, real-time AI applications, cloud-based healthcare platforms, advanced scientific research, digital twins, and the expanding metaverse economy

The data center GPU ecosystem comprises a tightly connected network of players spanning the entire value chain from raw material suppliers to end users. At the foundation are raw material suppliers such as SMC Global, Applied Materials, and SK Inc. Materials, which provide essential components and materials for chip fabrication. These feed into foundries like TSMC, Samsung, and GlobalFoundries, responsible for manufacturing the semiconductor wafers that form the backbone of GPUs. Data center GPU manufacturers such as NVIDIA, AMD, and Intel design and develop the core GPU architectures that power AI, high-performance computing, and data analytics workloads. These GPUs are then integrated by server OEMs and ODMs, including Dell Technologies, Hewlett Packard Enterprise, GIGABYTE, Inventec, and Quanta Computer, into scalable computing systems tailored for enterprise and cloud data centers. Finally, end users, primarily hyperscalers such as Amazon Web Services (AWS), Microsoft, and Google Cloud, deploy these GPU-powered infrastructures to run AI training, data analytics, and cloud-based applications. Together, this ecosystem enables continuous innovation and performance scaling across global data center operations.

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Asia Pacific to be fastest-growing region in global data center GPU market during forecast period

The Asia Pacific region is expected to see significant growth in the data center GPU market due to rapid digitalization, increasing AI adoption, and expanding cloud infrastructure in countries like China, India, Japan, South Korea, and Southeast Asia. China leads with its "New Infrastructure" policy, promoting AI and cloud computing. Major companies, including Alibaba Cloud, Tencent Cloud, and Baidu, are utilizing high-performance GPUs for AI model training, with Baidu's PaddlePaddle relying on NVIDIA GPUs. In India, Google Cloud and Microsoft Azure are building GPU-backed data centers for startups, while South Korea's Naver and Kakao, along with Japan’s Fujitsu and NEC, are advancing AI initiatives. Collaborations with NVIDIA and AMD are further enhancing GPU-based cloud services. Overall, the region's data center GPU market is positioned for substantial growth, driven by government initiatives and rising demand for AI applications.

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