Data Center Gpu Market Report

Market Analysis

• The data center GPU market size was valued at USD 106.8 billion in 2024. The market is expected to reach USD 121.6 billion in 2025, up 13.9% than the value in 2024.
• During the forecast period of 2025-2032, the data center GPU market is expected to grow at a CAGR of 13.5% to reach USD 295.2 billion in 2032.
• During 2025-2032, the data center GPU industry is expected to generate a cumulative sales opportunity of USD 1585.3 billion.

Data Center GPU Market Statistics

Have a look at the sales opportunities presented by the data center GPU market in terms of growth, market forecast and segment opportunities.

Market Dynamics

What is Data Center GPU?

A Data Center GPU is a high-performance graphics processing unit designed for use in data centers to handle intensive computational tasks beyond traditional graphics rendering. It accelerates workloads such as AI, machine learning, high-performance computing, and virtualization, offering superior efficiency, scalability, and reliability.

Market Drivers:

Rising Adoption of AI and Machine Learning

The increasing use of artificial intelligence (AI) and machine learning (ML) is driving the data center GPU market significantly, as these technologies need huge computational power for inference and training tasks. GPUs are uniquely suited to handle the parallel processing needs of AI and ML workloads, facilitating quicker data processing and model execution. Data center GPUs, such as NVIDIA's H100 and the newly launched Blackwell B200, are specifically designed to support such AI-heavy workloads, offering enhanced memory bandwidth, faster model training, and optimized inference performance.As organizations across sectors increasingly integrate AI and ML, demand for GPU-accelerated data center infrastructure continues to rise rapidly.

Market Challenges:

High Cost of Deployment

The high cost of deployment poses a major challenge for the data center GPU market. Advanced GPUs designed for AI and HPC workloads are often very expensive. Additionally, infrastructure upgrades, such as enhanced power delivery, cooling systems, and specialized server hardware designed to accommodate high-density GPU configurations, add significant capital and operational expenses. Thus, these combined costs limit accessibility, especially for smaller organizations, and necessitate careful investment planning to balance performance benefits against total ownership expenses.

Market Opportunities:

Growing Adoption of Autonomous Systems

The growth of autonomous systems, including self-driving vehicles, industrial robots, and drones, is creating significant opportunities for the data center GPU market. These systems require real-time processing of large volumes of sensor data and rely on complex AI models for decision-making and navigation. High-performance GPUs are essential for training and running these models efficiently. Moreover, as industries increasingly adopt automation, demand for GPU-powered data center infrastructure continues to expand, driving substantial market growth.

Market Segments' Analysis

By Deployment Type 

“Cloud segment is anticipated to maintain its dominance in the data center GPU market during the forecast period.”

• The data center GPU market is segmented by deployment type into cloud and on-premises.
• Cloud segment is anticipated to maintain its dominance in the data center GPU market during the forecast period, due to the rising adoption of AI, machine learning, and data analytics services delivered via cloud platforms.
• Cloud providers offer scalable, GPU-accelerated infrastructure that enables businesses to access high-performance computing without significant capital investment. This flexibility, combined with growing demand for real-time processing and AI workloads, drives rapid segmental growth.

By End-User Type

“Cloud Service Providers segment is expected to grow at the highest rate during the forecast period.”

• The data center GPU market is segmented by end-user type into cloud service providers, enterprises, and government organizations.

• Cloud Service Providers segment is expected to grow at the highest rate during the forecast period, driven by the growing need for AI and machine learning workloads.

• With evolving cloud services, top cloud service providers such as  Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are providing GPU-accelerated services for the computational  requirements of applications based on AI. These GPUs allow for  quicker data processing and deep learning capabilities that are vital for various sectors.
• As companies increasingly adopt cloud-based AI models to improve decision-making and streamline processes, the adoption of GPU-powered data centers is picking up pace.

Regional Analysis

“North America is expected to be the dominant and the fastest-growing region over the forecasted period.”

• Based on region, the data center GPU market has been segmented into North America, Europe, Asia Pacific, and the Rest of the world.
• North America is expected to be the dominant and the fastest-growing region over the forecasted period, due to its strong presence of leading cloud service providers, advanced technological infrastructure, and early adoption of AI and machine learning.
• Moreover, significant investments in hyperscale data centers, coupled with increasing demand for high-performance computing across sectors like healthcare, finance, and autonomous systems, further drive regional growth and innovation in GPU deployments.

Key Players

Most of the major players compete in some of the factors, including price, service offerings, regional presence, etc. The following are the key players in the data center GPU market -  

• NVIDIA Corporation
• Intel Corporation
• Advanced Micro Devices, Inc.
• Micron Technology, Inc.
• IBM
• Samsung SDS
• Qualcomm Technologies, Inc.
• Google Cloud
• Imagination Technologies
• Huawei Cloud Computing Technologies Co., Ltd.

Note: The above list does not necessarily include all the top players in the market.

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Recent Developments/Mergers & Acquisitions:

• In October 2024, AMD launched AMD Instinct MI325, which is intended for machine learning and AI applications in data centers. It provides high computing efficiency and is best suited for complex simulation and rendering tasks. This GPU can be used for AI-based visualization, media rendering, and computing-intensive applications. 

• In April 2024, NVIDIA finalized the purchase of Run:ai, an Israel AI infrastructure platform. NVIDIA made the purchase in an effort to fortify its AI infrastructure products with more sophisticated tools for the management and optimization of AI workloads within data centers.

Report Features

This report provides market intelligence most comprehensively. The report structure has been kept so that it offers maximum business value. It provides critical insights into market dynamics and will enable strategic decision-making for existing market players as well as those willing to enter the market. The following are the key features of the report:

• Market structure: Overview, industry life cycle analysis, supply chain analysis.
• Market environment analysis: Growth drivers and constraints, Porter’s five forces analysis, SWOT analysis.
• Market trend and forecast analysis.
• Market segment trend and forecast.
• Competitive landscape and dynamics: Market share, Service portfolio, New Product Launches, etc.
• COVID-19 impact and its recovery curve.
• Attractive market segments and associated growth opportunities.
• Emerging trends.
• Strategic growth opportunities for the existing and new players.
• Key success factors.

Market Segmentation

This report studies the market, covering a period of 12 years of trend and forecast. The report provides detailed insights into the market dynamics to enable informed business decision-making and growth strategy formulation based on the opportunities present in the market.

The Data Center GPU Market is segmented into the following categories. 

Data Center GPU Market, by Deployment Type

• Cloud
• On-Premises

Data Center GPU Market, by Function Type

• Training
• Inference

Data Center GPU Market, by End-User Type

• Cloud Service Providers
• Enterprises
• Governmental Organizations

Data Center GPU Market, by Application Type

• Generative AI
• Machine Learning
• Natural Language Processing
• Computer Vision

Data Center GPU Market, by Region

• North America (Country Analysis: The USA, Canada, and Mexico)
• Europe (Country Analysis: Germany, France, Italy, The UK, and Rest of Europe)
• Asia-Pacific (Country Analysis: Japan, China, India, and Rest of Asia-Pacific)
• Rest of the World (Country Analysis: Brazil, Saudi Arabia, and Others)

Research Methodology

• This strategic assessment report from Stratview Research provides a comprehensive analysis that reflects today’s Data Center GPU market realities and future market possibilities for the forecast period. 
• The report segments and analyzes the market in the most detailed manner to provide a panoramic view of the market.
• The vital data/information provided in the report can play a crucial role for market participants and investors in identifying the low-hanging fruits available in the market and formulating growth strategies to expedite their growth process.
• This report offers high-quality insights and is the outcome of a detailed research methodology comprising extensive secondary research, rigorous primary interviews with industry stakeholders, and validation and triangulation with Stratview Research’s internal database and statistical tools.
• More than 1,000 authenticated secondary sources, such as company annual reports, fact books, press releases, journals, investor presentations, white papers, patents, and articles, have been leveraged to gather the data.
• We conducted more than 15 detailed primary interviews with market players across the value chain in all four regions and industry experts to obtain both qualitative and quantitative insights.

Report Customization Options

With this detailed report, Stratview Research offers one of the following free customization options to our respected clients:

Company Profiling

• Detailed profiling of additional market players (up to three players)
• SWOT analysis of key players (up to three players)

Competitive Benchmarking

• Benchmarking of key players on the following parameters: Service portfolio, geographical reach, regional presence, and strategic alliances

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