Global GPU Server Market Size Study & Forecast, by Deployment (On-premises, Cloud-based), by Form Factor (Rack-mounted Server, Blade Server, Tower Server), by Function (Training, Inference), by Cooling Technology, by Application and Regional Forecasts 202

The Global GPU Server Market is valued approximately at USD 128.29 billion in 2024 and is anticipated to expand at a remarkable CAGR of 33.60% over the forecast period 2025–2035. GPU servers represent the cornerstone of modern high-performance computing, designed to accelerate complex computational workloads across sectors such as artificial intelligence (AI), machine learning (ML), cloud computing, and data analytics. These servers leverage the parallel processing capabilities of graphics processing units (GPUs) to deliver exponentially higher performance compared to traditional CPU-based systems. The relentless global adoption of AI-driven solutions, increasing data center expansion, and a rapid surge in demand for training and inferencing models have propelled the market to new heights. Additionally, industries are channeling investments into hybrid and cloud-based architectures to enhance scalability and energy efficiency—trends that have profoundly reshaped the computing landscape.

The exponential rise of generative AI, deep learning algorithms, and large-scale language models has amplified the demand for GPU-accelerated infrastructure. Global enterprises are racing to deploy GPU servers to facilitate real-time data processing, simulation, and rendering, empowering smarter decision-making across industries such as automotive, healthcare, and financial services. For instance, the shift from CPU-based to GPU-optimized cloud clusters has enabled hyperscalers to handle multi-petabyte workloads with greater speed and lower latency. Furthermore, the growing use of GPUs in autonomous vehicles, 3D modeling, and high-frequency trading underscores their transformative potential in future digital ecosystems. However, the market faces challenges related to high acquisition costs, thermal management complexities, and chip supply shortages. Yet, technological breakthroughs in cooling systems, chiplet architecture, and energy-efficient GPUs are gradually mitigating these constraints, positioning the market for sustained long-term growth.

The detailed segments and sub-segments included in the report are:

By Deployment:
• On-premises
• Cloud-based

By Form Factor:
• Rack-mounted Server
• Blade Server
• Tower Server

By Function:
• Training
• Inference

By Cooling Technology:
• Air Cooling
• Liquid Cooling

By Application:
• Artificial Intelligence
• Machine Learning
• Data Analytics
• Rendering
• Scientific Research
• Cloud Gaming
• Others

By Region:

North America
• U.S.
• Canada

Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE

Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC

Latin America
• Brazil
• Mexico

Middle East & Africa
• UAE
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa

Cloud-based Deployment Segment Expected to Dominate the Market

Among deployment types, the cloud-based segment is projected to dominate the global GPU server market throughout the forecast period. The increasing migration of workloads to the cloud—driven by the proliferation of data-intensive AI models and scalable infrastructure requirements—has positioned cloud GPU servers as the preferred solution for enterprises. Cloud providers are offering elastic GPU instances that enable seamless provisioning, workload optimization, and cost efficiency, especially for AI training and deep learning tasks. The ongoing collaboration between cloud giants and semiconductor manufacturers to develop AI-focused GPU instances is accelerating this adoption. Furthermore, as remote and distributed computing environments gain traction post-pandemic, cloud-based GPU servers are enabling enterprises to innovate faster and deploy applications globally with minimal latency.

Training Function Leads in Revenue Contribution

When categorized by function, the training segment currently contributes the most substantial revenue share to the global GPU server market. Training deep learning and neural network models requires immense computational power and parallel processing capabilities, making GPUs indispensable. Organizations are investing heavily in training infrastructure to develop next-generation AI models for natural language processing, image recognition, and predictive analytics. GPU servers facilitate faster iteration cycles, reduced training time, and enhanced accuracy—factors that have driven their large-scale deployment across research institutes, enterprises, and hyperscale data centers. Meanwhile, the inference segment is emerging rapidly, as optimized inference servers support real-time decision-making and edge AI applications. However, training remains the dominant force, representing the technological backbone of modern AI development.

The key regions considered for the Global GPU Server Market study include North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. North America currently leads the market, underpinned by a mature cloud computing ecosystem, strong presence of AI startups, and aggressive investments by technology giants such as NVIDIA, AMD, and Google. The United States, in particular, dominates in terms of GPU server deployment for data center infrastructure and research-intensive applications. Asia Pacific is expected to register the fastest growth during the forecast period, driven by surging demand for AI training clusters, government-backed digital transformation programs, and rapid industrial automation across China, India, and South Korea. Europe follows closely, propelled by initiatives in high-performance computing (HPC) and AI-driven healthcare diagnostics. Meanwhile, Latin America and the Middle East & Africa are gradually emerging as promising frontiers, where data localization policies and increased 5G adoption are creating new opportunities for GPU-based computational infrastructure.

Major market players included in this report are:
• NVIDIA Corporation
• Advanced Micro Devices, Inc. (AMD)
• Dell Technologies Inc.
• Hewlett Packard Enterprise (HPE)
• Lenovo Group Limited
• IBM Corporation
• Super Micro Computer, Inc.
• Amazon Web Services, Inc. (AWS)
• Google LLC
• Microsoft Corporation
• Inspur Group
• ASUS Tek Computer Inc.
• Gigabyte Technology Co., Ltd.
• Fujitsu Limited
• Intel Corporation

Global GPU Server Market Report Scope:
• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast period – 2025–2035
• Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

Key Takeaways:
• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional-level analysis for each market segment.
• Detailed analysis of the geographical landscape with country-level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of the competitive structure of the market.
• Demand side and supply side analysis of the market.

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