Data Center GPU Market Analysis 2026-2034

Attractive Opportunities

Global Demand Analysis & Sales Opportunities in Data Center GPU Market:

• The annual demand for data center GPU was USD 98.90 billion in 2025 and is expected to reach USD 112.85 billion in 2026, up 14.10% than the value in 2025.

• During the forecast period (2026-2034), the data center GPU market is expected to grow at a CAGR of 13.20%. The annual demand will reach USD 304.26 billion in 2034.

• During 2026-2034, the data center GPU industry is expected to generate a cumulative sales opportunity of USD 1768.58 billion.

High-Growth Market Segments:

• North America is expected to be the dominant region over the forecasted period.

• By deployment type, Cloud segment is anticipated to maintain its dominance in the data center GPU market during the forecast period.

• By function type, Inference segment is expected to witness the highest growth rate in the coming years.

• By application type, Generative AI segment is projected to be the fastest-growing segment during the forecast period.

• By end-user type, Cloud Service Providers segment is expected to grow at the highest rate during the forecast period.

Market Statistics:

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

Market Dynamics

What is a Data Center GPU?

• A Data Center GPU is a high-performance graphics processing unit specifically designed for deployment in data centers across key regions such as North America, Europe, and Asia?Pacific. Unlike traditional GPUs used in personal computers or gaming, data center GPUs are engineered to handle computationally intensive workloads, including artificial intelligence (AI) training and inference, high-performance computing (HPC), big data analytics, and scientific simulations.

• These GPUs offer massive parallel processing capabilities, high memory bandwidth, and energy-efficient performance, making them essential for enterprises, cloud providers, and research institutions that require scalable, reliable, and high-speed compute infrastructure.
   

Market Drivers:

Growth in AI and Machine Learning Workloads

• The surge in machine learning and complex data models is driving GPU demand in data centers. Training and running large models require massive parallel processing, which GPUs deliver efficiently.

• In 2025, over 60% of global GPU usage was dedicated to AI and machine learning workloads, underscoring the growing significance of these applications across regions, including North America, Europe, and Asia-Pacific.

Expansion of Cloud and Hyperscale GPU Infrastructure

• Hyperscale cloud providers are investing heavily in GPU clusters to support on-demand computing workloads for enterprises. By offering GPU-as-a-Service, they enable access to high-performance computing without high upfront costs. In 2025, cloud operators accounted for more than 50% of global GPU usage, highlighting the pivotal role of cloud infrastructure in GPU adoption and distribution worldwide.

Increasing High-Performance Computing and Data Analytics Needs

• GPUs are increasingly deployed for high-performance computing (HPC) tasks, including scientific simulations, big data analytics, and real-time data processing. Their ability to handle complex workloads faster and more efficiently than CPUs makes them critical for industries such as genomics, climate modeling, and engineering research, reinforcing the need for GPU-equipped data centers worldwide.
   

Market Challenges:

High Power Consumption and Infrastructure Strain

• GPU clusters draw significant power, creating a major operational challenge that can limit the adoption and scaling of GPU infrastructure in data centers. As GPUs increase in performance and density, electricity demand is rising rapidly, putting pressure on grid capacity and energy infrastructure. According to S&P Global, global data center power demand is projected to nearly double by 2030, stressing utilities and necessitating major upgrades to power delivery systems.
   

Market Opportunities:

Expansion of GPU?Ready Data Center Infrastructure in Asia?Pacific

• The Asia?Pacific region is emerging as a key hub for GPU-equipped data centers, accounting for around 30?% of global data center capacity. Rapid expansion of hyperscale and enterprise cloud infrastructure is driving IT power requirements to nearly 90?GW by 2028, creating substantial opportunities for GPU hardware and services. Rising demand for AI, machine learning, and compute-intensive workloads further reinforces the need for advanced GPU solutions across the region.

Segment Analysis

By Deployment Type

"Cloud segment is projected to maintain dominance in the data center GPU market during the forecast period."

• The data center GPU market is segmented into cloud and on-premises deployments.

• Cloud deployments are expected to dominate due to the rising adoption of AI, machine learning, and data analytics services via cloud platforms.

• Cloud providers offer scalable GPU-accelerated infrastructure, allowing enterprises to access high-performance computing without high upfront costs.

• Flexible deployment, real-time processing capabilities, and growing AI workloads make cloud-based GPU solutions the preferred choice in North America, Europe, and Asia-Pacific.

By End-User Type

"Cloud service providers are expected to grow at the fastest rate during the forecast period."

• The market is segmented into cloud service providers, enterprises, and government organizations.

• Cloud service providers are growing fastest due to GPU-powered AI and machine learning workload demand.

• Platforms like AWS, Microsoft Azure, and Google Cloud offer GPU-accelerated services for deep learning, analytics, and HPC workloads.

• Enterprises adopting cloud-based AI solutions to enhance decision-making and operational efficiency drive demand for GPU-equipped data centers across North America, Europe, and Asia-Pacific.

Regional Analysis

"North America is expected to remain the dominant region over the forecasted period."

• The market is segmented into North America, Europe, Asia-Pacific, and the Rest of the World.

• North America leads due to advanced infrastructure, early AI adoption, and major cloud providers.

• Investments in hyperscale GPU-equipped data centers and rising HPC demand in sectors like healthcare, finance, and autonomous systems support regional growth.

• Asia-Pacific is a fast-growing market, driven by digital infrastructure expansion, AI-focused data centers, and cloud adoption, offering opportunities for GPU vendors and cloud providers.

Competitive Landscape

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.

Are you a leading player in this market? We would love to include your name. Please write to us at sales@stratviewresearch.com

Recent Developments/Mergers & Acquisitions:

October 2025 – AMD Introduces Helios Rack?Scale AI Platform

• Advanced Micro Devices, Inc. (AMD) unveiled its Helios rack?scale AI hardware platform at the OCP Global Summit?2025, designed for rack?scale GPU deployments with significantly higher memory capacity and performance, with Oracle set to deploy thousands of MI450 GPUs starting in 2026.

September 2025 – NVIDIA and Intel Strategic Technology Collaboration

• NVIDIA Corporation announced a $5?billion investment in Intel Corporation, along with collaboration to integrate NVIDIA’s GPU technology with Intel’s CPU hardware, signaling a major joint effort to develop hybrid GPU?CPU data center systems optimized for AI workloads.

March 2025 – NVIDIA Unveils Next?Generation AI Infrastructure Platform

• At GTC?2025, NVIDIA Corporation announced a new AI Data Platform and next?generation GPU roadmap, featuring enhanced enterprise infrastructure designs that integrate accelerated computing and networking for demanding AI inference workloads. This positions NVIDIA at the center of data center AI infrastructure development.

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

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.

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Company Profiling

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

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Competitive Benchmarking

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

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