The global data center GPU market was valued at USD 14.48 billion in 2024 and is projected to reach USD 190.10 billion by 2033, growing at a compound annual growth rate (CAGR) of 35.8% from 2025 to 2033. This exponential growth is primarily driven by the widespread adoption of artificial intelligence (AI), machine learning (ML), and deep learning across various industries. As businesses increasingly leverage AI-powered technologies to enhance automation, decision-making, and predictive capabilities, GPUs (graphics processing units) have become essential components of data center infrastructure due to their superior ability to handle parallel processing tasks efficiently.

GPUs are particularly critical for executing training and inference workloads in AI models. Unlike traditional CPUs, GPUs can simultaneously process thousands of threads, significantly accelerating data processing and learning times. As a result, organizations are increasingly deploying GPU-accelerated computing infrastructures to support advanced applications such as computer vision, natural language processing (NLP), and recommendation engines, which demand high computational power. These developments are creating a surge in demand for scalable and high-performance GPU solutions within data centers worldwide.

In parallel, the global proliferation of hyperscale data centers, operated by leading cloud providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and Alibaba Cloud, is further boosting the data center GPU market. These cloud giants are heavily investing in high-performance computing (HPC) environments to cater to growing client demands for AI, analytics, and cloud-based services. GPU-accelerated instances within these data centers offer scalability, cost-efficiency, and flexibility, making them increasingly attractive to businesses of all sizes and industries across both public and private cloud environments.

Key Market Trends & Insights:

• In 2024, North America held a dominant position in the global data center GPU market, accounting for a significant revenue share of 35.6%. The United States, in particular, is expected to experience strong market growth at a CAGR of 33.9% from 2025 to 2033, supported by rapid advancements in AI, cloud infrastructure, and enterprise digitalization.
• The Asia Pacific region is projected to grow at the highest CAGR of 37.6% during the forecast period (2025–2030), driven by the rapid adoption of AI technologies, strong investment in data centers, and increasing demand for cloud services in countries such as China, India, South Korea, and Japan.
• Based on deployment type, the on-premises segment led the market in 2024, accounting for 50.1% of total revenue. This dominance is attributed to enterprises preferring in-house infrastructure for data sovereignty, performance optimization, and control over sensitive workloads. However, the cloud segment is anticipated to expand at the fastest CAGR throughout the forecast period.
• From a workload perspective, the inference segment held the largest revenue share in 2024. As AI models mature and are deployed in production environments, inference becomes a recurring and resource-intensive task, requiring powerful GPU capabilities. Meanwhile, the training segment is expected to witness significant growth, driven by continuous innovation in deep learning architectures and the increasing complexity of large-scale AI models.
• Regarding end users, cloud service providers dominated the market in 2024, generating the highest revenue. Their investment in GPU-driven services is instrumental in supporting global AI workloads. At the same time, the enterprise segment is expected to grow at a robust CAGR, as more businesses across finance, healthcare, automotive, and manufacturing adopt AI-driven strategies that demand GPU-enabled infrastructure.

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Market Size & Forecast:

• 2024 Market Size: USD 14.48 Billion
• 2033 Projected Market Size: USD 190.10 Billion
• CAGR (2025-2033): 35.8%
• North America: Largest market in 2024

Key Companies & Market Share Insights:

The data center GPU industry is highly competitive, with several major players focusing on technological innovation, strategic partnerships, and new product launches to capture greater market share. Prominent companies include,

• NVIDIA Corporation
• Intel Corporation
• Advanced Micro Devices, Inc. (AMD)
• Micron Technology, Inc.
• IBM Corporation
• Samsung SDS
• Qualcomm Technologies, Inc.
• Google Cloud

These firms are continuously advancing their product offerings to address the increasing computational needs of AI-driven data center environments.

• In May 2025, Intel Corporation launched a new range of GPUs and AI accelerators, targeting professionals and developers. Notably, the Intel Gaudi 3 PCIe card was introduced to enhance AI inference capabilities within existing data center setups. The card supports advanced AI models, including Llama 3.1 8B up to Llama 4 Scout and Maverick, offering flexible and scalable performance to organizations of all sizes.
• In March 2025, NVIDIA Corporation unveiled its RTX PRO Blackwell series, representing a major advancement in GPU technology for professionals in AI, design, engineering, and the creative industries. The launch included the NVIDIA RTX PRO 6000 Blackwell Server Edition for data centers, along with desktop GPU models such as the RTX PRO 6000, 6000 Max-Q, 5000, 4500, and 4000 Workstation Editions. These GPUs provide cutting-edge capabilities in accelerated computing, AI inference, ray tracing, and neural rendering, positioning NVIDIA at the forefront of AI infrastructure development. 

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Conclusion:

In conclusion, the global data center GPU market is experiencing rapid expansion, fueled by the widespread adoption of AI, ML, and HPC applications. As demand for scalable and high-performance infrastructure rises, both hyperscale cloud providers and enterprises are investing in GPU-accelerated solutions. With North America leading and Asia Pacific emerging as the fastest-growing region, key players like NVIDIA and Intel are driving innovation through advanced product offerings to support the evolving needs of AI-driven data centers.