Graphics Processing Unit (GPU) Cloud Access Technologies Market Report 2025

The graphics processing unit (GPU) cloud access technologies market size has grown exponentially in recent years. It will grow from $1.86 billion in 2024 to $2.38 billion in 2025 at a compound annual growth rate (CAGR) of 27.7%. The expansion observed during the historical period was driven by the increasing adoption of cloud computing by enterprises, the rising need to reduce IT infrastructure costs, greater utilization of big data analytics, the growth of global internet connectivity, and heightened demand for online gaming platforms.

The graphics processing unit (GPU) cloud access technologies market size is expected to see exponential growth in the next few years. It will grow to $6.26 billion in 2029 at a compound annual growth rate (CAGR) of 27.4%. The projected growth during the forecast period is expected to be driven by wider adoption of AI-powered business applications, increased demand for scalable GPU resources, expanded use of virtual and augmented reality, growing requirements for remote work infrastructure, and a stronger emphasis on energy-efficient data centers. Key trends anticipated in this period include advancements in cloud platform technologies, progress in accelerated storage and interconnect systems, R&D in AI-optimized architectures, innovation in remote visualization solutions, and integration with cloud-native AI workflows.

The growth of the graphics processing unit (GPU) cloud access technologies market is being driven by the rising need for high-performance data processing. Organizations are generating massive volumes of data daily and require faster systems to process, analyze, and store it efficiently. High-performance computing systems, including HPC clusters and supercomputers, enable the rapid handling of large datasets and complex calculations. GPU cloud technologies provide scalable and fast computing capabilities to support AI tasks and large data workloads. For example, in 2024, approximately 402.89 million terabytes of data were generated globally each day, a figure expected to reach 181 zettabytes by 2025. This surge in data generation underscores the increasing demand for high-performance data processing.

Companies in the GPU cloud access technologies market are investing in AI-driven platforms to enhance enterprise access to supercomputing resources. These platforms use artificial intelligence to optimize resource allocation, speed up model training, and integrate seamlessly with cloud infrastructures. For instance, NVIDIA Corporation introduced NVIDIA DGX Cloud in March 2023, offering enterprises instant access to AI supercomputing through a web browser. The platform provides dedicated clusters of NVIDIA DGX AI supercomputers along with NVIDIA AI software, allowing organizations to efficiently scale AI workloads and collaborate with NVIDIA experts throughout the AI development process.

CoreWeave Inc. expanded its GPU cloud services in July 2025 by acquiring Core Scientific Inc., a provider of blockchain hosting, AI, and high-performance computing services. The acquisition enables CoreWeave to leverage Core Scientific’s data center infrastructure, accelerate AI workload deployment, and enhance GPU cloud offerings for both enterprise and research applications.

Major players in the graphics processing unit (GPU) cloud access technologies market are Microsoft Corporation, Tencent Holdings Limited, International Business Machines Corporation (IBM), Oracle Corporation, Nvidia Corporation, Baidu Inc., Vast.ai Inc., OVH Groupe SAS, Lambda Labs Inc., CoreWeave Inc., G-Core Labs S.A., Rescale Inc., Vultr Holdings LLC, Linode LLC, Alibaba Group Holding Limited, RunPod Inc., Paperspace Co., Genesis Cloud Ltd., Huawei Technologies Co. Ltd., and Hyperstack.Cloud Inc.

North America was the largest region in the graphics processing unit (GPU) cloud access technologies market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in graphics processing unit (GPU) cloud access technologies report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the graphics processing unit (GPU) cloud access technologies market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

GPU cloud access refers to technologies that let users remotely utilize high-performance GPU hardware via cloud platforms. This enables tasks such as complex simulations, deep learning, advanced graphics rendering, and high-performance computing without requiring local GPU setups. It offers scalable, on-demand GPU resources that support AI model training, virtual workstations, large-scale data processing, and real-time rendering, while lowering operational costs, reducing maintenance requirements, and bypassing hardware constraints for organizations of any size.

The primary types of GPU cloud access technologies include GPU cloud compute instances, GPU virtualization, GPU as a Service (GaaS), and related solutions. GPU cloud compute instances are cloud-based virtual or bare-metal servers equipped with dedicated GPU hardware for compute-intensive operations. Deployment options include private, public, and hybrid GPU clouds. These technologies find applications across IT and telecom, healthcare, automotive, finance, media and entertainment, retail and e-commerce, manufacturing automation, energy and utilities, and education, serving a wide range of end-users from SMEs to large enterprises.

The graphics processing unit (GPU) cloud access technologies market research report is one of a series of new reports that provides graphics processing unit (GPU) cloud access technologies market statistics, including graphics processing unit (GPU) cloud access technologies industry global market size, regional shares, competitors with a graphics processing unit (GPU) cloud access technologies market share, detailed graphics processing unit (GPU) cloud access technologies market segments, market trends and opportunities, and any further data you may need to thrive in the graphics processing unit (GPU) cloud access technologies industry. The graphics processing unit (GPU) cloud access technologies market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The graphics processing unit (GPU) cloud access technologies market consists of revenues earned by entities by providing services such as graphics processing unit training, high-performance computing (HPC) simulations, three-dimensional (3D) rendering services, and deep learning (DL) model deployment. The market value includes the value of related goods sold by the service provider or included within the service offering. The graphics processing unit (GPU) cloud access technologies market also includes sales of graphics processing unit (GPU) memory systems, graphics processing unit (GPU) interconnects, and accelerated storage systems. Values in this market are ‘factory gate’ values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 3-5 business days.