Data Center GPU

Data Center GPU Market - Global Size & Outlook 2020-2033

Global Data Center GPU is segmented by Application (AI/ML, Cloud computing, HPC, Rendering, Scientific simulations), Type (High-Performance GPUs, AI Accelerators, Tensor Core GPUs, Edge GPUs, Virtual GPUs) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

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INDUSTRY OVERVIEW

The Data Center GPU market is experiencing robust growth, projected to achieve a compound annual growth rate CAGR of 25.60% during the forecast period. Valued at USD13.2Billion, the market is expected to reach USD84.7Billion by 2033, with a year-on-year growth rate of . This upward trajectory is driven by factors such as evolving consumer preferences, technological advancements, and increased investment in innovation, positioning the market for significant expansion in the coming years. Companies should strategically focus on enhancing their offerings and exploring new market opportunities to capitalize on this growth potential.

Data Center GPU Market Size in (USD Billion) CAGR Growth Rate 25.60%

Study Period 2020-2033
Market Size (2025): USD13.2Billion
Market Size (2033): USD84.7Billion
CAGR (2025 - 2033): 25.60%
Fastest Growing Region Asia-Pacific
Dominating Region North America
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Data center GPUs are advanced graphic processing units used to accelerate high-performance computing, artificial intelligence (AI), and big data workloads. Unlike consumer GPUs, they offer greater parallelism, memory bandwidth, and scalability. As enterprises shift to AI-driven operations and cloud computing, GPU demand in data centers is surging. Leading providers like NVIDIA dominate the space, but competition is increasing. Despite high costs and power needs, innovations like GPU-as-a-service, liquid cooling, and edge computing integration offer rapid growth potential.

Regulatory Landscape


  • Growing focus on energy efficiency regulations in hyperscale data centers.


Regulatory Framework

The Information and Communications Technology (ICT) industry is primarily regulated by the Federal Communications Commission (FCC) in the United States, along with other national and international regulatory bodies. The FCC oversees the allocation of spectrum, ensures compliance with telecommunications laws, and fosters fair competition within the sector. It also establishes guidelines for data privacy, cybersecurity, and service accessibility, which are crucial for maintaining industry standards and protecting consumer interests.
Globally, various regulatory agencies, such as the European Telecommunications Standards Institute (ETSI) and the International Telecommunication Union (ITU), play significant roles in standardizing practices and facilitating international cooperation. These bodies work together to create a cohesive regulatory framework that addresses emerging technologies, cross-border data flow, and infrastructure development. Their regulations aim to ensure the ICT industry's growth is both innovative and compliant with global standards, promoting a secure and competitive market environment.
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Key Highlights

•    The Data Center GPU is growing at a CAGR of 25.60% during the forecasted period of 2020 to 2033
•    Year on Year growth for the market is
•    Based on type, the market is bifurcated into High-Performance GPUs,AI Accelerators,Tensor Core GPUs,Edge GPUs
•    Based on application, the market is segmented into AI/ML,Cloud computing,HPC,Rendering,Scientific simulations
•    Global Import Export in terms of K Tons, K Units, and Metric Tons will be provided if Applicable based on industry best practice

Market Segmentation Analysis

Segmentation by Type


  • High-Performance GPUs
  • AI Accelerators
  • Tensor Core GPUs
  • Edge GPUs

Data Center GPU Market Segmentation by Type

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Segmentation by Application
 
  • AI/ML
  • Cloud computing
  • HPC
  • Rendering
  • Scientific simulations

Data Center GPU Market Segmentation by Application

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Key Players

Several key players in the Data Center GPU market are strategically focusing on expanding their operations in developing regions to capture a larger market share, particularly as the year-on-year growth rate for the market stands at . The companies featured in this profile were selected based on insights from primary experts, evaluating their market penetration, product offerings, and geographical reach. By targeting emerging markets, these companies aim to leverage new opportunities, enhance their competitive advantage, and drive revenue growth. This approach not only aligns with their overall business objectives but also positions them to respond effectively to the evolving demands of consumers in these regions.
  • NVIDIA (USA)
  • AMD (USA)
  • Intel (USA)
  • Qualcomm (USA)
  • IBM (USA)
  • Google (USA)
  • Microsoft (USA)
  • Baidu (China)
  • Amazon Web Services (USA)
  • Graphcore (UK)
  • Cerebras Systems (USA)
  • Tenstorrent (Canada)
  • SambaNova Systems (USA)
  • Huawei (China)

Data Center GPU Market Segmentation by Players

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Research Methodology

At HTF Market Intelligence, we pride ourselves on delivering comprehensive market research that combines both secondary and primary methodologies. Our secondary research involves rigorous analysis of existing data sources, such as industry reports, market databases, and competitive landscapes, to provide a robust foundation of market knowledge. This is complemented by our primary research services, where we gather firsthand data through surveys, interviews, and focus groups tailored specifically to your business needs. By integrating these approaches, we offer a thorough understanding of market trends, consumer behavior, and competitive dynamics, enabling you to make well-informed strategic decisions. We would welcome the opportunity to discuss how our research expertise can support your business objectives.

Market Dynamics


Market dynamics refer to the forces that influence the supply and demand of products and services within a market. These forces include factors such as consumer preferences, technological advancements, regulatory changes, economic conditions, and competitive actions. Understanding market dynamics is crucial for businesses as it helps them anticipate changes, identify opportunities, and mitigate risks.
By analyzing market dynamics, companies can better understand market trends, predict potential shifts, and develop strategic responses. This analysis enables businesses to align their product offerings, pricing strategies, and marketing efforts with evolving market conditions, ultimately leading to more informed decision-making and a stronger competitive position in the marketplace.

Market Driver

  • AI/ML Workload Demand
  • explosion Of Big Data Analytics
  • rise In Cloud Gaming And Rendering
  • hyperscale Data Center Expansion


Market Trend

  • Transition to H100-class GPUs
  • liquid cooling integration
  • NVIDIA/AMD server competition
  • GPU as-a-service models

Opportunity

  • Custom AI-focused Chips
  • edge Data Center GPUs
  • hybrid GPU-CPU Server Designs
  • GPU Leasing Models


Challenge

  • High Power Consumption
  • heat Management
  • chip Supply Constraints
  • high Capital Expenditure

Regional Analysis

  • North America and Europe lead deployments; India and Southeast Asia are fast-growing.

Market Entropy
  • June 2025: NVIDIA released the Blackwell B200 GPU optimized for data center AI workloads, with 40% better performance-per-watt.

Merger & Acquisition
  • Feb 2024 – AMD acquired a server GPU design firm in Israel. The launch of “Instinct Fusion,” a next-gen high-efficiency data center GPU, followed in March.

Regulatory Landscape
  • Growing focus on energy efficiency regulations in hyperscale data centers.

Patent Analysis
  • Patents around high-memory bandwidth, multi-GPU interconnects, and thermal design improvements.

Investment and Funding Scenario
  • Billion-dollar investments in AI datacenter infrastructure from Microsoft, Google, and hyperscalers.


Regional Outlook

The North America Region holds the largest market share in 2025 and is expected to grow at a good CAGR. The Asia-Pacific Region is the fastest-growing region due to increasing development and disposable income.


North America remains a leader, driven by innovation hubs like Silicon Valley and a strong demand for advanced technologies such as AI and cloud computing. Europe is characterized by robust regulatory frameworks and significant investments in digital transformation across sectors. Asia-Pacific is experiencing rapid growth, led by major markets like China and India, where increasing digital adoption and governmental initiatives are propelling ICT advancements.


The Middle East and Africa are witnessing steady expansion, driven by infrastructure development and growing internet penetration. Latin America and South America present emerging opportunities, with rising investments in digital infrastructure, though challenges like economic instability can impact growth. These regional differences highlight the need for tailored strategies in the global ICT market.
 

Regions
  • North America
  • LATAM
  • West Europe
  • Central & Eastern Europe
  • Northern Europe
  • Southern Europe
  • East Asia
  • Southeast Asia
  • South Asia
  • Central Asia
  • Oceania
  • MEA
Fastest Growing Region
Asia-Pacific
Asia-Pacific captures largest market share in Data Center GPU Market
Dominating Region
North America
North America captures largest market share in Data Center GPU Market

 

Report Features

Details

Base Year

2025

Based Year Market Size (2025)

USD13.2Billion

Historical Period Market Size (2020)

USD5.8Billion

CAGR (2025 to 2033)

25.60%

Forecast Period

2025 to 2033

Forecasted Period Market Size (2033)

USD84.7Billion 

Scope of the Report

High-Performance GPUs,AI Accelerators,Tensor Core GPUs,Edge GPUs, AI/ML,Cloud computing,HPC,Rendering,Scientific simulations

Regions Covered

North America, Europe, Asia Pacific, South America, and MEA

Year on Year Growth


Companies Covered

NVIDIA (USA),AMD (USA),Intel (USA),Qualcomm (USA),IBM (USA),Google (USA),Microsoft (USA),Baidu (China),Amazon Web Services (USA),Graphcore (UK),Cerebras Systems (USA),Tenstorrent (Canada),SambaNova Systems (USA),Huawei (China)

Customization Scope

15% Free Customization (For EG)

Delivery Format

PDF and Excel through Email

 

 

Data Center GPU - Table of Contents

Chapter 1: Market Preface
  • 1.1 Global Data Center GPU Market Landscape
  • 1.2 Scope of the Study
  • 1.3 Relevant Findings & Stakeholder Advantages

Chapter 2: Strategic Overview
  • 2.1 Global Data Center GPU Market Outlook
  • 2.2 Total Addressable Market versus Serviceable Market
  • 2.3 Market Rivalry Projection

Chapter 3 : Global Data Center GPU Market Business Environment & Changing Dynamics
  • 3.1 Growth Drivers
    • 3.1.1 AI/ML workload demand
    • 3.1.2 explosion of big data analytics
    • 3.1.3 rise in cloud gaming and rendering
    • 3.1.4 hyperscale data center expansion
  • 3.2 Available Opportunities
    • 3.2.1 Custom AI-focused chips
    • 3.2.2 edge data center GPUs
    • 3.2.3 hybrid GPU-CPU server designs
    • 3.2.4 GPU leasing
  • 3.3 Influencing Trends
    • 3.3.1 Transition to H100-class GPUs
    • 3.3.2 liquid cooling integration
    • 3.3.3 NVIDIA/AMD server competition
    • 3.3.4 G
  • 3.4 Challenges
    • 3.4.1 High power consumption
    • 3.4.2 heat management
    • 3.4.3 chip supply constraints
    • 3.4.4 high capital expenditure
    • 3.4.5
  • 3.5 Regional Dynamics

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Chapter 4 : Global Data Center GPU Industry Factors Assessment
  • 4.1 Current Scenario
  • 4.2 PEST Analysis
  • 4.3 Business Environment - PORTER 5-Forces Analysis
    • 4.3.1 Supplier Leverage
    • 4.3.2 Bargaining Power of Buyers
    • 4.3.3 Threat of Substitutes
    • 4.3.4 Threat from New Entrant
    • 4.3.5 Market Competition Level
  • 4.4 Roadmap of Data Center GPU Market
  • 4.5 Impact of Macro-Economic Factors
  • 4.6 Market Entry Strategies
  • 4.7 Political and Regulatory Landscape
  • 4.8 Supply Chain Analysis
  • 4.9 Impact of Tariff War


Chapter 5: Data Center GPU : Competition Benchmarking & Performance Evaluation
  • 5.1 Global Data Center GPU Market Concentration Ratio
    • 5.1.1 CR4, CR8 and HH Index
    • 5.1.2 % Market Share - Top 3
    • 5.1.3 Market Holding by Top 5
  • 5.2 Market Position of Manufacturers by Data Center GPU Revenue 2025
  • 5.3 BCG Matrix
  • 5.3 Market Entropy
  • 5.4 Heat Map Analysis
  • 5.5 Strategic Group Analysis
Chapter 6: Global Data Center GPU Market: Company Profiles
  • 6.1 NVIDIA (USA)
    • 6.1.1 NVIDIA (USA) Company Overview
    • 6.1.2 NVIDIA (USA) Product/Service Portfolio & Specifications
    • 6.1.3 NVIDIA (USA) Key Financial Metrics
    • 6.1.4 NVIDIA (USA) SWOT Analysis
    • 6.1.5 NVIDIA (USA) Development Activities
  • 6.2 AMD (USA)
  • 6.3 Intel (USA)
  • 6.4 Qualcomm (USA)
  • 6.5 IBM (USA)
  • 6.6 Google (USA)
  • 6.7 Microsoft (USA)
  • 6.8 Baidu (China)
  • 6.9 Amazon Web Services (USA)
  • 6.10 Graphcore (UK)
  • 6.11 Cerebras Systems (USA)
  • 6.12 Tenstorrent (Canada)
  • 6.13 SambaNova Systems (USA)
  • 6.14 Huawei (China)
  • 6.15 Alibaba (China)

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Chapter 7 : Global Data Center GPU by Type & Application (2020-2033)
  • 7.1 Global Data Center GPU Market Revenue Analysis (USD Million) by Type (2020-2025)
    • 7.1.1 High-Performance GPUs
    • 7.1.2 AI Accelerators
    • 7.1.3 Tensor Core GPUs
    • 7.1.4 Edge GPUs
    • 7.1.5 Virtual GPUs
  • 7.2 Global Data Center GPU Market Revenue Analysis (USD Million) by Application (2020-2025)
    • 7.2.1 AI/ML
    • 7.2.2 Cloud Computing
    • 7.2.3 HPC
    • 7.2.4 Rendering
    • 7.2.5 Scientific Simulations
  • 7.3 Global Data Center GPU Market Revenue Analysis (USD Million) by Type (2025-2033)
  • 7.4 Global Data Center GPU Market Revenue Analysis (USD Million) by Application (2025-2033)

Chapter 8 : North America Data Center GPU Market Breakdown by Country, Type & Application
  • 8.1 North America Data Center GPU Market by Country (USD Million) [2020-2025]
    • 8.1.1 United States
    • 8.1.2 Canada
  • 8.2 North America Data Center GPU Market by Type (USD Million) [2020-2025]
    • 8.2.1 High-Performance GPUs
    • 8.2.2 AI Accelerators
    • 8.2.3 Tensor Core GPUs
    • 8.2.4 Edge GPUs
    • 8.2.5 Virtual GPUs
  • 8.3 North America Data Center GPU Market by Application (USD Million) [2020-2025]
    • 8.3.1 AI/ML
    • 8.3.2 Cloud Computing
    • 8.3.3 HPC
    • 8.3.4 Rendering
    • 8.3.5 Scientific Simulations
  • 8.4 North America Data Center GPU Market by Country (USD Million) [2026-2033]
  • 8.5 North America Data Center GPU Market by Type (USD Million) [2026-2033]
  • 8.6 North America Data Center GPU Market by Application (USD Million) [2026-2033]
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Chapter 9 : LATAM Data Center GPU Market Breakdown by Country, Type & Application
  • 9.1 LATAM Data Center GPU Market by Country (USD Million) [2020-2025]
    • 9.1.1 Brazil
    • 9.1.2 Argentina
    • 9.1.3 Chile
    • 9.1.4 Mexico
    • 9.1.5 Rest of LATAM
  • 9.2 LATAM Data Center GPU Market by Type (USD Million) [2020-2025]
    • 9.2.1 High-Performance GPUs
    • 9.2.2 AI Accelerators
    • 9.2.3 Tensor Core GPUs
    • 9.2.4 Edge GPUs
    • 9.2.5 Virtual GPUs
  • 9.3 LATAM Data Center GPU Market by Application (USD Million) [2020-2025]
    • 9.3.1 AI/ML
    • 9.3.2 Cloud Computing
    • 9.3.3 HPC
    • 9.3.4 Rendering
    • 9.3.5 Scientific Simulations
  • 9.4 LATAM Data Center GPU Market by Country (USD Million) [2026-2033]
  • 9.5 LATAM Data Center GPU Market by Type (USD Million) [2026-2033]
  • 9.6 LATAM Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 10 : West Europe Data Center GPU Market Breakdown by Country, Type & Application
  • 10.1 West Europe Data Center GPU Market by Country (USD Million) [2020-2025]
    • 10.1.1 Germany
    • 10.1.2 France
    • 10.1.3 Benelux
    • 10.1.4 Switzerland
    • 10.1.5 Rest of West Europe
  • 10.2 West Europe Data Center GPU Market by Type (USD Million) [2020-2025]
    • 10.2.1 High-Performance GPUs
    • 10.2.2 AI Accelerators
    • 10.2.3 Tensor Core GPUs
    • 10.2.4 Edge GPUs
    • 10.2.5 Virtual GPUs
  • 10.3 West Europe Data Center GPU Market by Application (USD Million) [2020-2025]
    • 10.3.1 AI/ML
    • 10.3.2 Cloud Computing
    • 10.3.3 HPC
    • 10.3.4 Rendering
    • 10.3.5 Scientific Simulations
  • 10.4 West Europe Data Center GPU Market by Country (USD Million) [2026-2033]
  • 10.5 West Europe Data Center GPU Market by Type (USD Million) [2026-2033]
  • 10.6 West Europe Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 11 : Central & Eastern Europe Data Center GPU Market Breakdown by Country, Type & Application
  • 11.1 Central & Eastern Europe Data Center GPU Market by Country (USD Million) [2020-2025]
    • 11.1.1 Bulgaria
    • 11.1.2 Poland
    • 11.1.3 Hungary
    • 11.1.4 Romania
    • 11.1.5 Rest of CEE
  • 11.2 Central & Eastern Europe Data Center GPU Market by Type (USD Million) [2020-2025]
    • 11.2.1 High-Performance GPUs
    • 11.2.2 AI Accelerators
    • 11.2.3 Tensor Core GPUs
    • 11.2.4 Edge GPUs
    • 11.2.5 Virtual GPUs
  • 11.3 Central & Eastern Europe Data Center GPU Market by Application (USD Million) [2020-2025]
    • 11.3.1 AI/ML
    • 11.3.2 Cloud Computing
    • 11.3.3 HPC
    • 11.3.4 Rendering
    • 11.3.5 Scientific Simulations
  • 11.4 Central & Eastern Europe Data Center GPU Market by Country (USD Million) [2026-2033]
  • 11.5 Central & Eastern Europe Data Center GPU Market by Type (USD Million) [2026-2033]
  • 11.6 Central & Eastern Europe Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 12 : Northern Europe Data Center GPU Market Breakdown by Country, Type & Application
  • 12.1 Northern Europe Data Center GPU Market by Country (USD Million) [2020-2025]
    • 12.1.1 The United Kingdom
    • 12.1.2 Sweden
    • 12.1.3 Norway
    • 12.1.4 Baltics
    • 12.1.5 Ireland
    • 12.1.6 Rest of Northern Europe
  • 12.2 Northern Europe Data Center GPU Market by Type (USD Million) [2020-2025]
    • 12.2.1 High-Performance GPUs
    • 12.2.2 AI Accelerators
    • 12.2.3 Tensor Core GPUs
    • 12.2.4 Edge GPUs
    • 12.2.5 Virtual GPUs
  • 12.3 Northern Europe Data Center GPU Market by Application (USD Million) [2020-2025]
    • 12.3.1 AI/ML
    • 12.3.2 Cloud Computing
    • 12.3.3 HPC
    • 12.3.4 Rendering
    • 12.3.5 Scientific Simulations
  • 12.4 Northern Europe Data Center GPU Market by Country (USD Million) [2026-2033]
  • 12.5 Northern Europe Data Center GPU Market by Type (USD Million) [2026-2033]
  • 12.6 Northern Europe Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 13 : Southern Europe Data Center GPU Market Breakdown by Country, Type & Application
  • 13.1 Southern Europe Data Center GPU Market by Country (USD Million) [2020-2025]
    • 13.1.1 Spain
    • 13.1.2 Italy
    • 13.1.3 Portugal
    • 13.1.4 Greece
    • 13.1.5 Rest of Southern Europe
  • 13.2 Southern Europe Data Center GPU Market by Type (USD Million) [2020-2025]
    • 13.2.1 High-Performance GPUs
    • 13.2.2 AI Accelerators
    • 13.2.3 Tensor Core GPUs
    • 13.2.4 Edge GPUs
    • 13.2.5 Virtual GPUs
  • 13.3 Southern Europe Data Center GPU Market by Application (USD Million) [2020-2025]
    • 13.3.1 AI/ML
    • 13.3.2 Cloud Computing
    • 13.3.3 HPC
    • 13.3.4 Rendering
    • 13.3.5 Scientific Simulations
  • 13.4 Southern Europe Data Center GPU Market by Country (USD Million) [2026-2033]
  • 13.5 Southern Europe Data Center GPU Market by Type (USD Million) [2026-2033]
  • 13.6 Southern Europe Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 14 : East Asia Data Center GPU Market Breakdown by Country, Type & Application
  • 14.1 East Asia Data Center GPU Market by Country (USD Million) [2020-2025]
    • 14.1.1 China
    • 14.1.2 Japan
    • 14.1.3 South Korea
    • 14.1.4 Taiwan
    • 14.1.5 Others
  • 14.2 East Asia Data Center GPU Market by Type (USD Million) [2020-2025]
    • 14.2.1 High-Performance GPUs
    • 14.2.2 AI Accelerators
    • 14.2.3 Tensor Core GPUs
    • 14.2.4 Edge GPUs
    • 14.2.5 Virtual GPUs
  • 14.3 East Asia Data Center GPU Market by Application (USD Million) [2020-2025]
    • 14.3.1 AI/ML
    • 14.3.2 Cloud Computing
    • 14.3.3 HPC
    • 14.3.4 Rendering
    • 14.3.5 Scientific Simulations
  • 14.4 East Asia Data Center GPU Market by Country (USD Million) [2026-2033]
  • 14.5 East Asia Data Center GPU Market by Type (USD Million) [2026-2033]
  • 14.6 East Asia Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 15 : Southeast Asia Data Center GPU Market Breakdown by Country, Type & Application
  • 15.1 Southeast Asia Data Center GPU Market by Country (USD Million) [2020-2025]
    • 15.1.1 Vietnam
    • 15.1.2 Singapore
    • 15.1.3 Thailand
    • 15.1.4 Malaysia
    • 15.1.5 Indonesia
    • 15.1.6 Philippines
    • 15.1.7 Rest of SEA Countries
  • 15.2 Southeast Asia Data Center GPU Market by Type (USD Million) [2020-2025]
    • 15.2.1 High-Performance GPUs
    • 15.2.2 AI Accelerators
    • 15.2.3 Tensor Core GPUs
    • 15.2.4 Edge GPUs
    • 15.2.5 Virtual GPUs
  • 15.3 Southeast Asia Data Center GPU Market by Application (USD Million) [2020-2025]
    • 15.3.1 AI/ML
    • 15.3.2 Cloud Computing
    • 15.3.3 HPC
    • 15.3.4 Rendering
    • 15.3.5 Scientific Simulations
  • 15.4 Southeast Asia Data Center GPU Market by Country (USD Million) [2026-2033]
  • 15.5 Southeast Asia Data Center GPU Market by Type (USD Million) [2026-2033]
  • 15.6 Southeast Asia Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 16 : South Asia Data Center GPU Market Breakdown by Country, Type & Application
  • 16.1 South Asia Data Center GPU Market by Country (USD Million) [2020-2025]
    • 16.1.1 India
    • 16.1.2 Bangladesh
    • 16.1.3 Others
  • 16.2 South Asia Data Center GPU Market by Type (USD Million) [2020-2025]
    • 16.2.1 High-Performance GPUs
    • 16.2.2 AI Accelerators
    • 16.2.3 Tensor Core GPUs
    • 16.2.4 Edge GPUs
    • 16.2.5 Virtual GPUs
  • 16.3 South Asia Data Center GPU Market by Application (USD Million) [2020-2025]
    • 16.3.1 AI/ML
    • 16.3.2 Cloud Computing
    • 16.3.3 HPC
    • 16.3.4 Rendering
    • 16.3.5 Scientific Simulations
  • 16.4 South Asia Data Center GPU Market by Country (USD Million) [2026-2033]
  • 16.5 South Asia Data Center GPU Market by Type (USD Million) [2026-2033]
  • 16.6 South Asia Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 17 : Central Asia Data Center GPU Market Breakdown by Country, Type & Application
  • 17.1 Central Asia Data Center GPU Market by Country (USD Million) [2020-2025]
    • 17.1.1 Kazakhstan
    • 17.1.2 Tajikistan
    • 17.1.3 Others
  • 17.2 Central Asia Data Center GPU Market by Type (USD Million) [2020-2025]
    • 17.2.1 High-Performance GPUs
    • 17.2.2 AI Accelerators
    • 17.2.3 Tensor Core GPUs
    • 17.2.4 Edge GPUs
    • 17.2.5 Virtual GPUs
  • 17.3 Central Asia Data Center GPU Market by Application (USD Million) [2020-2025]
    • 17.3.1 AI/ML
    • 17.3.2 Cloud Computing
    • 17.3.3 HPC
    • 17.3.4 Rendering
    • 17.3.5 Scientific Simulations
  • 17.4 Central Asia Data Center GPU Market by Country (USD Million) [2026-2033]
  • 17.5 Central Asia Data Center GPU Market by Type (USD Million) [2026-2033]
  • 17.6 Central Asia Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 18 : Oceania Data Center GPU Market Breakdown by Country, Type & Application
  • 18.1 Oceania Data Center GPU Market by Country (USD Million) [2020-2025]
    • 18.1.1 Australia
    • 18.1.2 New Zealand
    • 18.1.3 Others
  • 18.2 Oceania Data Center GPU Market by Type (USD Million) [2020-2025]
    • 18.2.1 High-Performance GPUs
    • 18.2.2 AI Accelerators
    • 18.2.3 Tensor Core GPUs
    • 18.2.4 Edge GPUs
    • 18.2.5 Virtual GPUs
  • 18.3 Oceania Data Center GPU Market by Application (USD Million) [2020-2025]
    • 18.3.1 AI/ML
    • 18.3.2 Cloud Computing
    • 18.3.3 HPC
    • 18.3.4 Rendering
    • 18.3.5 Scientific Simulations
  • 18.4 Oceania Data Center GPU Market by Country (USD Million) [2026-2033]
  • 18.5 Oceania Data Center GPU Market by Type (USD Million) [2026-2033]
  • 18.6 Oceania Data Center GPU Market by Application (USD Million) [2026-2033]
Chapter 19 : MEA Data Center GPU Market Breakdown by Country, Type & Application
  • 19.1 MEA Data Center GPU Market by Country (USD Million) [2020-2025]
    • 19.1.1 Turkey
    • 19.1.2 South Africa
    • 19.1.3 Egypt
    • 19.1.4 UAE
    • 19.1.5 Saudi Arabia
    • 19.1.6 Israel
    • 19.1.7 Rest of MEA
  • 19.2 MEA Data Center GPU Market by Type (USD Million) [2020-2025]
    • 19.2.1 High-Performance GPUs
    • 19.2.2 AI Accelerators
    • 19.2.3 Tensor Core GPUs
    • 19.2.4 Edge GPUs
    • 19.2.5 Virtual GPUs
  • 19.3 MEA Data Center GPU Market by Application (USD Million) [2020-2025]
    • 19.3.1 AI/ML
    • 19.3.2 Cloud Computing
    • 19.3.3 HPC
    • 19.3.4 Rendering
    • 19.3.5 Scientific Simulations
  • 19.4 MEA Data Center GPU Market by Country (USD Million) [2026-2033]
  • 19.5 MEA Data Center GPU Market by Type (USD Million) [2026-2033]
  • 19.6 MEA Data Center GPU Market by Application (USD Million) [2026-2033]

Chapter 20: Research Findings & Conclusion
  • 20.1 Key Findings
  • 20.2 Conclusion

Chapter 21: Methodology and Data Source
  • 21.1 Research Methodology & Approach
    • 21.1.1 Research Program/Design
    • 21.1.2 Market Size Estimation
    • 21.1.3 Market Breakdown and Data Triangulation
  • 21.2 Data Source
    • 21.2.1 Secondary Sources
    • 21.2.2 Primary Sources

Chapter 22: Appendix & Disclaimer
  • 22.1 Acronyms & bibliography
  • 22.2 Disclaimer

Frequently Asked Questions (FAQ):

The Global Data Center GPU market size surpassed USD 13.2 Billion in 2025 and will expand at a CAGR of 25.60% between 2025 and 2033.

According to the report,the Data Center GPU Industry size is projected to reach USD 84.7 Billion, exhibiting a CAGR of 25.60% by 2033.

Some of the prominent trends that are influencing and driving the growth of Global Data Center GPU Market are Transition To H100-class GPUs,liquid Cooling Integration,NVIDIA/AMD Server Competition,GPU As-a-service Models,AI Inferencing Acceleration

  • AI/ML Workload Demand
  • explosion Of Big Data Analytics
  • rise In Cloud Gaming And Rendering
  • hyperscale Data Center Expansion
  • crypto And Blockchain Processing

Business transformation in Data Center GPU Market has taken hold due to the confluence of several important triggers, some of them are High Power Consumption,heat Management,chip Supply Constraints,high Capital Expenditure,software Compatibility Issues.

Some of the opportunities that Analyst at HTF MI have identified in Data Center GPU Market are:
  • Custom AI-focused Chips
  • edge Data Center GPUs
  • hybrid GPU-CPU Server Designs
  • GPU Leasing Models
  • regional GPU Cloud Startups

Data Center GPU Market identifies market share by players along with the concentration rate using CR4, CR8 Index to determine leading and emerging competitive players such as NVIDIA (USA),AMD (USA),Intel (USA),Qualcomm (USA),IBM (USA),Google (USA),Microsoft (USA),Baidu (China),Amazon Web Services (USA),Graphcore (UK),Cerebras Systems (USA),Tenstorrent (Canada),SambaNova Systems (USA),Huawei (China),Alibaba (China).

Research paper of Global Data Center GPU Market shows that companies are making better progress than their supply chain peers –including suppliers, majorly in end-use applications such as AI/ML,Cloud computing,HPC,Rendering,Scientific simulations.

The Global Data Center GPU Market Study is segmented by High-Performance GPUs,AI Accelerators,Tensor Core GPUs,Edge GPUs,Virtual GPUs.

The Global Data Center GPU Market Study includes regional breakdown as North America, LATAM, West Europe,Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA

Historical Year: 2020 - 2025; Base year: 2025; Forecast period: 2025 to 2033

Data center GPUs are advanced graphic processing units used to accelerate high-performance computing, artificial intelligence (AI), and big data workloads. Unlike consumer GPUs, they offer greater parallelism, memory bandwidth, and scalability. As enterprises shift to AI-driven operations and cloud computing, GPU demand in data centers is surging. Leading providers like NVIDIA dominate the space, but competition is increasing. Despite high costs and power needs, innovations like GPU-as-a-service, liquid cooling, and edge computing integration offer rapid growth potential.