Data Center GPU Market Size, Share & Trends

Report Code SE 8838
Published in May, 2025, By MarketsandMarkets™
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Data Center GPU Market by Deployment (Cloud, On-premises), Function (Training, Inference), Application (Generative AI, Machine Learning, Natural Language Processing, Computer Vision), End User (CSP, Enterprises) & Region - Global Forecast to 2030

Data Center GPU Market Size, Share & Trends

The global data center GPU market is anticipated to grow from USD 119.97 billion in 2025 to USD 228.04 billion by 2030 at a CAGR of 13.7% during the forecast period.

The demand for GPUs in data centers is experiencing significant growth, mainly due to the rapid advancements and widespread adoption of artificial intelligence (AI) and machine learning (ML) across various industries. The increasing complexity of AI models and the large datasets needed for training necessitate the high-performance parallel processing capabilities that GPUs provide. Performance benchmarks for AI applications drive significant investments in robust GPU infrastructure within data centers. Real-time inference and the growing need for accelerated data analytics enabled by GPUs are becoming crucial for businesses seeking a competitive advantage. At the same time, there is an increasing emphasis on energy-efficient GPU solutions to reduce the substantial power consumption associated with large-scale data center operations and to support sustainability initiatives.

Data Center GPU Market

Attractive Opportunities in the Data Center GPU Market

NORTH AMERICA

North America accounted for the largest share of 36.2% of the global data center GPU market in 2024

The growing demand for high-end GPUs in AI-powered applications, scientific research, and large-scale simulations will drive demand for data center GPUs.

Product launches are expected to offer growth opportunities for market players in the next five years.

North America’s robust technological ecosystem, including advanced AI cloud infrastructure and the presence of several industry leaders in the region, will fuel market growth.

NVIDIA Corporation (US), AMD (US), and Intel Corporation (US) are the major players in the data center GPU market.

Global Data Center GPU Market Dynamics

DRIVER: Growing adoption of AI and machine learning

The rising use of machine learning (ML) and artificial intelligence (AI) drives demand for high-performance datacenter GPUs. Applications like fraud detection, autonomous vehicles, recommendation systems, and natural language processing require strong parallel processing capabilities, making accelerated computing essential for data centers. NVIDIA's Tensor Core GPUs, such as the A100 and H100, are widely used for AI training and inference. In 2024, Microsoft and NVIDIA expanded their collaboration to build AI supercomputing infrastructure for Azure. AMD is also gaining ground with partnerships, as its MI300 GPUs see increased adoption in hyperscale environments. While Google, Meta, and Amazon are investing in custom AI chips, they still depend on third-party GPUs for specific workloads. As the AI landscape evolves, the datacenter GPU market is set to grow with the demand for compute-intensive AI models.

RESTRAINTS: Short product lifecycle

One of the main challenges in the data center GPU market is the short lifespan of GPU hardware. Rapid advancements and rising performance demands from AI, ML, and high-performance computing require GPU vendors to release new versions frequently. This situation places pressure on data center operators, who face significant initial investments and the constant need for infrastructure upgrades. For instance, NVIDIA launched its A100 GPU in mid-2020, followed by the H100 GPU based on the Hopper architecture just two years later, while AMD released its Instinct MI250 series in 2021 and the MI300 series in 2023. These constant upgrades lead to quicker depreciation of older models, hampering long-term ROI, especially for smaller enterprises that cannot easily absorb regular upgrades. Additionally, each new GPU generation requires adjustments to software stacks and workloads, adding complexity and operational overhead. As a result, these short product lifecycles can discourage adoption in markets that value stability and long-term value.

 

OPPORTUNITY: Growth in autonomous systems

The emergence of autonomous technologies, including self-driving cars, drones, and robots, is creating significant opportunities for the data center GPU industry. These technologies rely on advanced AI algorithms like computer vision and real-time decision-making, all requiring substantial computational power. For example, Tesla's Dojo supercomputer trains autonomous driving software, showcasing the need for GPU-accelerated infrastructure. NVIDIA partners with automotive companies such as Mercedes-Benz and Volvo, providing platforms like NVIDIA DRIVE for autonomous development. In 2023, NVIDIA and Foxconn collaborated to create AI factories focused on autonomous platforms.

Amazon also uses GPU-supported AWS instances for autonomous drone navigation. As businesses increasingly adopt autonomy, the demand for scalable, GPU-driven data centers will rise, positioning the GPU market to capitalize on this revolution in mobility and logistics.

CHALLENGE: Existence of alternative technologies

The growth of data center GPUs faces challenges from alternative technologies like application-specific integrated circuits (ASICs) and field-programmable gate arrays (FPGAs). These alternatives often provide better performance per watt for specialized workloads. For instance, Google’s Tensor Processing Units (TPUs) are ASICs optimized for machine learning and AI, offering faster training and inference for TensorFlow models than general-purpose GPUs. Similarly, Amazon Web Services (AWS) provides FPGAs in its EC2 F1 instances, which allow custom hardware acceleration for tasks like genomics and video encoding. Microsoft Azure has integrated FPGAs through Project Brainwave to improve real-time AI performance. As these more power-efficient technologies gain traction, especially in hyperscale environments, GPU vendors must adapt to remain competitive and justify their costs and power requirements.

Additionally, these exoskeletons typically operate for only a few hours on a single charge, leading to frequent downtimes for recharging or battery replacement. In environments where continuous operation is critical, such as in military missions or time-sensitive industrial settings, this can pose serious risks. For example, in military applications, a sudden power failure could hinder a soldier's mobility or put them in a vulnerable position. In industrial settings, power limitations can disrupt workflow and reduce productivity, as users must either pause work or switch devices. The challenge is compounded in remote or high-demand locations where charging infrastructure is limited or impractical. These constraints highlight a major trade-off between technological enhancement and operational reliability.

Global Data Center GPU Market Ecosystem Analysis

The data center GPU ecosystem is a dynamic and rapidly evolving landscape based on high-end graphics processing units designed to accelerate computationally intensive workloads in data center environments. This ecosystem includes stakeholders such as raw material suppliers, foundries, data center GPU manufacturers, server OEMs and ODMs, and end users. End users predominantly consist of cloud service providers such as Microsoft (US), Google (US), AWS (US), etc. Key companies that are involved in the data center GPU market include Nvidia Corporation (US), Advanced Micro Devices, Inc., and Intel Corporation. (US).

Top Companies in Data Center GPU Market

Source: Secondary Research, Interviews with Experts, and MarketsandMarkets Analysis

By deployment, the cloud segment is expected to maintain a leading market position during the forecast period

Cloud deployment is expected to see significant growth in the data center GPU market due to the rising demand for flexible and affordable AI and high-performance computing. Cloud providers are integrating powerful GPUs into their infrastructure to support AI, machine learning, analytics, and complex simulations. This cloud-based GPU access helps businesses reduce costs associated with physical infrastructure, making high-powered computing resources more accessible. Major players like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are competing to enhance their GPU offerings. AWS offers NVIDIA-powered EC2 instances for AI training, Azure has partnered with NVIDIA for advanced GPUs for enterprise workloads, Google Cloud supports NVIDIA L4 GPUs for scalable tasks, and Oracle Cloud Infrastructure also collaborates with NVIDIA for on-demand AI solutions.

By function, the inference segment is expected to witness a high CAGR from 2025 to 2030.

The inference segment for data center GPUs is set to grow significantly due to the rising use of AI in real-time applications like chatbots and recommendation engines. After training, AI models require substantial GPU capacity for low-latency inference under heavy loads, driving demand for inference-optimized GPUs. NVIDIA’s latest L4 and H100 GPUs, Meta’s extensive GPU use, and Microsoft Azure’s AI services integration highlight this trend. Generative AI applications like ChatGPT and DALL-E further increase inference workloads, boosting the need for efficient and scalable computing in data centers.

Generative AI will showcase a substantial market share from 2025 to 2030

Generative AI is poised for significant growth in the data center GPU market, driven by applications like LLMs, video & image creation, code writing, and voice assistants. High-performance GPUs are in demand for these computationally intensive models, including OpenAI’s GPT-4, Google Gemini, and Meta’s LLaMA. Companies are investing heavily in meeting this demand. Microsoft has partnered with OpenAI to integrate ChatGPT into Azure, relying on NVIDIA GPUs. Google Cloud uses its Tensor Processing Units (TPUs) and NVIDIA GPUs for services like Bard and Duet AI. Meta is building an AI supercomputer, the Research SuperCluster, with thousands of NVIDIA GPUs. Amazon Web Services (AWS) is also expanding its EC2 UltraClusters with NVIDIA GPUs for generative model development. As generative AI expands into healthcare, finance, marketing, and design, the need for high-quality GPU-based infrastructure will drive growth in this sector.

Asia Pacific is Projected to Record the Highest CAGR During the Forecast Period.

The Asia Pacific region is expected to see significant growth in the data center GPU market due to rapid digitalization, increasing AI adoption, and expanding cloud infrastructure in countries like China, India, Japan, South Korea, and Southeast Asia. China leads with its "New Infrastructure" policy, promoting AI and cloud computing. Major companies, including Alibaba Cloud, Tencent Cloud, and Baidu, are utilizing high-performance GPUs for AI model training, with Baidu's PaddlePaddle relying on NVIDIA GPUs. In India, Google Cloud and Microsoft Azure are building GPU-backed data centers for startups, while South Korea's Naver and Kakao, along with Japan’s Fujitsu and NEC, are advancing AI initiatives. Collaborations with NVIDIA and AMD are further enhancing GPU-based cloud services. Overall, the region's data center GPU market is positioned for substantial growth, driven by government initiatives and rising demand for AI applications.

LARGEST MARKET SHARE IN 2025-2030
CHINA FASTER-GROWING MARKET IN REGION
Data Center GPU Market
 Size and Share

Recent Developments of Data Center GPU Market

  • On January 29, 2025, Alibaba Cloud released an updated version of its AI model, Qwen 2.5, named Qwen 2.5-Max. According to Alibaba Cloud, Qwen 2.5-Max outperforms models such as DeepSeek-V3 and Meta's Llama 3.1 across 11 benchmarks. This release reflects the company's ongoing efforts to advance AI capabilities and maintain competitiveness in the rapidly evolving AI landscape.
  • In December 2024, AWS launched Amazon Nova, a new family of foundation models integrated into Amazon Bedrock. These models are designed to enhance generative AI capabilities, enabling businesses to create text, images, and videos more efficiently.
  • Launched in October 2024, the AMD Instinct MI325X is designed for AI and machine learning workloads in data centers. It offers high computational performance and is optimized for complex rendering and simulation tasks. This GPU is suitable for AI-driven visualization, media rendering, and data-intensive applications.
  • In August 2024, AMD agreed to acquire ZT Systems, a data center hardware company, in a cash and stock transaction valued at USD 4.9 billion. ZT Systems' expertise in designing and optimizing cloud computing solutions was expected to enhance AMD's data center AI infrastructure offerings.
  • In April 2024, NVIDIA completed the acquisition of Run:ai, an Israel-based AI infrastructure platform. This acquisition aimed to strengthen NVIDIA's AI infrastructure offerings, providing advanced tools for managing and optimizing AI workloads in data centers.
  • In July 2024, AMD acquired Silo AI, an AI software company. This acquisition aimed to strengthen AMD's AI capabilities, particularly in developing advanced AI solutions for data centers.

Key Market Players

List of Top Data Center GPU Market

The following players dominate the Data Center GPU Market:

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Scope of the Report

Report Attribute Details
Market size available for years 2021–2030
Base year considered 2024
Forecast period 2025–2030
Forecast units Value (USD Million/Billion) (Thousand Units)
Segments Covered By Deployment, Function, Application, End User, and Region
Regions covered North America, Europe, Asia Pacific, and RoW

Key Questions Addressed by the Report

Which are the major companies in the data center GPU market, and what are their significant strategies to strengthen their market presence?
Major companies in the aerospace testing market are Nvidia Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), Google Cloud (US), Microsoft (US), Amazon Web Services, Inc. (US), IBM (US), Alibaba Cloud (Singapore), Oracle (US), Tencent Cloud (China), CoreWeave (US), Vast.ai (US), Lambda (US), DigitalOcean (US), and JarvisLabs.ai (India).
Which end-user in the data center GPU market will likely have the most significant impact over the coming years?
The cloud service providers (CSPs) segment is expected to grow at the highest rate due to the expanding applications and growing computing demand.
Which function in the data center GPU market will show strong growth over the coming years?
The inference as a function segment is expected to grow due to the surge in real-time AI applications such as chatbots, recommendation engines, and generative AI tools. Enterprises require high-performance GPUs to deliver low-latency responses at scale, making inference infrastructure a critical investment.
What are the drivers and opportunities for the data center GPU market?
The growing adoption of AI & ML, the demand for high-performance computing, and the expansion of cloud computing are the major drivers of the data center GPU market. Opportunity areas in this market include the growth of autonomous systems and the emergence of edge computing.
What are the restraints and challenges for the data center GPU market?
Higher costs of GPUs and infrastructure and short product lifecycles are the major restraints for the data center GPU market. Market growth faces challenges due to alternative technologies, stringent frameworks, and supply chain disruptions.

 

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Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
INTRODUCTION
27
RESEARCH METHODOLOGY
33
EXECUTIVE SUMMARY
45
PREMIUM INSIGHTS
49
MARKET OVERVIEW
53
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Growing adoption of AI and machine learning
    - Growing demand for high performance computing (HPC)
    - Cloud computing expansion
    RESTRAINTS
    - High costs of GPUs and infrastructure
    - Short product lifecycle
    OPPORTUNITIES
    - Growth in autonomous systems
    - Emergence of edge computing
    - Advancements in quantum computing synergy
    CHALLENGES
    - Existence of alternative technologies
    - Stringent regulatory framework
    - Supply chain disruptions
  • 5.3 PORTER'S FIVE FORCES ANALYSIS
  • 5.4 ECOSYSTEM ANALYSIS
  • 5.5 VALUE CHAIN ANALYSIS
  • 5.6 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    STANDARDS
    REGULATIONS
    - North America
    - Europe
    - Asia Pacific
    - RoW
  • 5.7 TRADE ANALYSIS
    IMPORT DATA (HS CODE 847330)
    EXPORT SCENARIO (HS CODE 847330)
  • 5.8 PRICING ANALYSIS
    INDICATIVE PRICING TREND OF DATA CENTER GPU OFFERED BY KEY PLAYERS, BY FUNCTION, 2024 (USD)
    INDICATIVE PRICING TREND OF DATA CENTER GPUS, BY KEY PLAYER, 2024
    AVERAGE SELLING PRICE OF DATA CENTER GPUS, BY REGION, 2021–2024 (USD)
  • 5.9 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Parallel processing architectures
    - High bandwidth memory (HBM)
    ADJACENT TECHNOLOGIES
    - Application-specific integrated circuits (ASIC)
    - Field-programmable gate arrays (FPGA)
    COMPLEMENTARY TECHNOLOGIES
    - Non-volatile memory express (NVMe)
    - Infiniband
  • 5.10 PATENT ANALYSIS
  • 5.11 CASE STUDY ANALYSIS
    DECENTRALIZED DIGITAL WORLD OF MEDIA AND ENTERTAINMENT
    TERRAY THERAPEUTICS – LEVERAGING GENERATIVE AI FOR SMALL-MOLECULE DRUG DISCOVERY
    SIEMENS HEALTHINEERS – STREAMLINING CANCER RADIATION THERAPY WITH AI
    GAC R&D CENTER – BOOSTING VEHICLE AERODYNAMICS WITH NVIDIA GPUS
    STONE RIDGE TECHNOLOGY – REDUCING COMPOSITIONAL MODEL RUNTIMES WITH ECHELON 2.0
  • 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.13 KEY CONFERENCES AND EVENTS, 2025–2026
  • 5.14 INVESTMENT AND FUNDING SCENARIO, 2023 Q1–2024 Q2
  • 5.15 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.16 TRUMP IMPACT OVERVIEW
  • 5.17 KEY TARIFF RATES
  • 5.18 KEY IMPACTS ON VARIOUS REGIONS
    US
    EUROPE
    ASIA PACIFIC
  • 5.19 IMPACT ON SUPPLY CHAIN IN ASIA PACIFIC
  • 5.20 EXEMPTIONS AND LOOPHOLES FOR GPUS IN TRUMP TARIFFS UNDER USMCA AGREEMENT
  • 5.21 END-USE INDUSTRY-LEVEL IMPACT
GPU-AS-A-SERVICE (GPUAAS) LANDSCAPE
99
  • 6.1 INTRODUCTION
  • 6.2 SERVICE MODEL
    IAAS
    - Rise in edge computing and real-time data processing to boost segmental growth
    PAAS
    - Cost efficiency, scalability, and operational simplicity to contribute to segmental growth
  • 6.3 DEPLOYMENT
    PUBLIC CLOUD
    - Scalability and high-performance computing capabilities to augment segmental growth
    PRIVATE CLOUD
    - Enhanced control, security, and customization to foster segmental growth
    HYBRID CLOUD
    - Ability to handle dynamic workloads and data security to accelerate segmental growth
DATA CENTER GPU MARKET, BY DEPLOYMENT
119
  • 7.1 INTRODUCTION
  • 7.2 CLOUD
    INCREASING FLEXIBILITY, SCALABILITY, AND COST EFFICIENCY TO DRIVE GROWTH
  • 7.3 ON-PREMISES
    GROWING DEMAND FOR CONTROL AND PERFORMANCE DRIVES ON-PREMISE GPU DEPLOYMENTS
DATA CENTER GPU MARKET, BY FUNCTION
124
  • 8.1 INTRODUCTION
  • 8.2 TRAINING
    GPU-DRIVEN PARALLEL PROCESSING ACCELERATES MACHINE LEARNING MODEL DEVELOPMENT IN DATA CENTERS
  • 8.3 INFERENCE
    REAL-TIME DECISION-MAKING DRIVES DEMAND FOR LOW-LATENCY GPU INFERENCE IN DATA CENTERS
DATA CENTER GPU MARKET, BY APPLICATION
129
  • 9.1 INTRODUCTION
  • 9.2 GENERATIVE AI
    GENERATIVE AI UNLEASHES UNPRECEDENTED GPU DEMAND IN DATA CENTERS
    RULE-BASED MODELS
    STATISTICAL MODELS
    DEEP LEARNING
    GENERATIVE ADVERSARIAL NETWORKS (GANS)
    AUTOENCODERS
    CONVOLUTIONAL NEURAL NETWORKS (CNNS)
    TRANSFORMER MODELS
  • 9.3 MACHINE LEARNING
    MACHINE LEARNING’S EXPANDING FOOTPRINT DRIVES DATA CENTER GPU GROWTH
  • 9.4 NATURAL LANGUAGE PROCESSING
    GPU ACCELERATION DRIVES NLP’S DATA CENTER DOMINANCE
  • 9.5 COMPUTER VISION
    GPU-POWERED COMPUTER VISION DRIVES DATA CENTER GROWTH
    DATA CENTER GPU MARKET, BY END USER
DATA CENTER GPU MARKET, BY END USER
143
  • 10.1 INTRODUCTION
  • 10.2 CLOUD SERVICE PROVIDERS
    RISING USE OF DATA CENTER GPUS FOR AI AND MACHINE LEARNING APPLICATIONS TO DRIVE MARKET
  • 10.3 ENTERPRISES
    ENTERPRISE AI ADOPTION FUELS ROBUST GROWTH IN DATA CENTER GPU DEMAND
    HEALTHCARE
    - Growing use of machine learning (ML) and deep learning (DL) models in medical field to propel market
    BFSI
    - Increased use of HPC by BFSI enterprises to drive market
    AUTOMOTIVE
    - Rising popularity of autonomous cars to fuel adoption of GPUs
    RETAIL & E-COMMERCE
    - Rising need to handle massive amounts of retail and e-commerce data to accelerate adoption of GPUs
    MEDIA & ENTERTAINMENT
    - Increasing use of AI for content creation and recommendation to drive market
    OTHERS
  • 10.4 GOVERNMENT ORGANIZATIONS
    RISING ADOPTION OF AI BY GOVERNMENT ORGANIZATIONS FOR NATIONAL SECURITY TO DRIVE MARKET
DATA CENTER GPU MARKET, BY REGION
158
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    US
    - High demand for GPUs from AI workloads to drive market
    CANADA
    - Strategic government initiatives to boost market growth
    MEXICO
    - Increasing investments in Mexico by hyperscalers to support market growth
  • 11.3 EUROPE
    MACROECONOMIC OUTLOOK FOR EUROPE
    GERMANY
    - Increasing adoption of automation solutions in automotive industry to drive market
    UK
    - Strong demand from essential IT services and advent for new startups to drive market
    FRANCE
    - Significant AI investments to drive market
    ITALY
    - Partnerships between technology providers and government incentives drive market
    SPAIN
    - Surging investments by hyperscalers and other companies to drive market
    POLAND
    - Growing cloud adoption and AI investments to boost market opportunities
    NORDICS
    - Rising adoption of accelerated computing technologies in data center to drive market
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    CHINA
    - Rapid government funding and initiatives to drive market
    SOUTH KOREA
    - Rising investment and need for real-time data processing to drive market
    JAPAN
    - Increasing hyperscaler investments to drive market
    INDIA
    - Government initiatives and incentives to drive market
    AUSTRALIA
    - Domestic HPC push signals Australia’s commitment to AI advancement
    INDONESIA
    - Indonesia’s digital ambition drives significant investment
    MALAYSIA
    - Global cloud leaders drive massive data center GPU expansion in Malaysia
    THAILAND
    - Strategic location and policies position Thailand for HPC leadership
    VIETNAM
    - NVIDIA’s strategic partnerships catalyze market
    REST OF ASIA PACIFIC
  • 11.5 ROW
    MACROECONOMIC OUTLOOK FOR ROW
    SOUTH AMERICA
    - Global players investing in region for data center infrastructure to drive demand
    AFRICA
    - Rising focus of manufacturing firms on streamlining workflow and improving product quality to create opportunities
    MIDDLE EAST
    - Booming AI initiatives to drive demand
    - GCC
    - Bahrain
    - Kuwait
    - Oman
    - Qatar
    - Saudi Arabia
    - United Arab Emirates (UAE)
    - Rest of Middle East
COMPETITIVE LANDSCAPE
198
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022–2025
  • 12.3 REVENUE ANALYSIS, 2018–2022
  • 12.4 MARKET SHARE ANALYSIS, 2024
  • 12.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 12.6 BRAND/PRODUCT COMPARISON
  • 12.7 COMPANY EVALUATION MATRIX FOR DATA CENTER GPUS: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
  • 12.8 COMPANY EVALUATION MATRIX FOR GPU-AS-A-SERVICE (GPUAAS): KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company footprint
    - Regional footprint
    - Deployment footprint
    - Function footprint
    - End user footprint
  • 12.9 COMPANY EVALUATION MATRIX FOR GPU-AS-A-SERVICE (GPUAAS): STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed list of key startups/SMEs
    - Detailed list of key startups/SMEs
  • 12.10 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES
    DEALS
COMPANY PROFILES
220
  • 13.1 KEY PLAYERS
    NVIDIA CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ADVANCED MICRO DEVICES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    INTEL CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Recent developments
    - MnM view
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AMAZON WEB SERVICES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ALIBABA CLOUD
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    COREWEAVE.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TENCENT CLOUD
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    LAMBDA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 13.2 OTHER PLAYERS
    VAST.AI
    RUNPOD
    SCALEMATRIX HOLDINGS, INC.
    DIGITALOCEAN
    JARVISLABS.AI
    FLUIDSTACK
    OVH SAS
    E2E NETWORKS LIMITED
    ACE CLOUD
    SNOWCELL
    LINODE LLC
    YOTTA DATA SERVICES PVT LTD.
    VULTR
    RACKSPACE TECHNOLOGY
    GCORE
    NEBIUS B.V.
APPENDIX
281
  • 14.1 INSIGHTS FROM INDUSTRY EXPERTS
  • 14.2 DISCUSSION GUIDE
  • 14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.4 CUSTOMIZATION OPTIONS
  • 14.5 RELATED REPORTS
  • 14.6 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 DATA CENTER GPU MARKET: RISK ANALYSIS
  • TABLE 2 DATA CENTER GPU MARKET: PORTER'S FIVE FORCES ANALYSIS
  • TABLE 3 ROLE OF PLAYERS IN DATA CENTER GPU ECOSYSTEM
  • TABLE 4 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 5 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 6 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 7 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 STANDARDS
  • TABLE 9 IMPORT DATA FOR HS CODE 847330-COMPLIANT PRODUCTS, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 10 EXPORT DATA FOR HS CODE 847950-COMPLIANT PRODUCTS, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 11 INDICATIVE PRICING TREND OF DATA CENTER GPU OFFERED BY KEY PLAYERS, BY FUNCTION, 2024 (USD)
  • TABLE 12 INDICATIVE PRICING TREND OF DATA CENTER GPUS, BY KEY PLAYER, 2024
  • TABLE 13 AVERAGE SELLING PRICE TREND OF DATA CENTER GPU, BY REGION, 2021–2024 (USD)
  • TABLE 14 LIST OF APPLIED/GRANTED PATENTS RELATED TO DATA CENTER GPU, JANUARY 2025
  • TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 END USERS (%)
  • TABLE 16 KEY BUYING CRITERIA FOR TOP 3 END USERS
  • TABLE 17 KEY CONFERENCES AND EVENTS, 2025–2026
  • TABLE 18 US ADJUSTED RECIPROCAL TARIFF RATES
  • TABLE 19 EXEMPTED PRODUCTS (BY HS CODE) FROM CANADA AND MEXICO TO US UNDER USMCA (US-MEXICO-CANADA) AGREEMENT
  • TABLE 20 GPU-AS-A-SERVICE MARKET, BY SERVICE MODEL, 2021–2024 (USD MILLION)
  • TABLE 21 GPU-AS-A-SERVICE MARKET, BY SERVICE MODEL, 2025–2030 (USD MILLION)
  • TABLE 22 IAAS MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 23 IAAS MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 24 NORTH AMERICA: IAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 25 NORTH AMERICA: IAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 26 EUROPE: IAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 27 EUROPE: IAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 28 ASIA PACIFIC: IAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 29 ASIA PACIFIC: IAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 30 ROW: IAAS MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 31 ROW: IAAS MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 32 MIDDLE EAST: IAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 33 MIDDLE EAST: IAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 34 AFRICA: IAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 35 AFRICA: IAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 36 PAAS MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 37 PAAS MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 38 NORTH AMERICA: PAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 39 NORTH AMERICA: PAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 40 EUROPE: PAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 41 EUROPE: PAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 42 ASIA PACIFIC: PAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 43 ASIA PACIFIC: PAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 44 ROW: PAAS MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 45 ROW: PAAS MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 46 MIDDLE EAST: PAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 47 MIDDLE EAST: PAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 48 AFRICA: PAAS MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 49 AFRICA: PAAS MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 50 GPU-AS-A-SERVICE MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION)
  • TABLE 51 GPU-AS-A-SERVICE MARKET, BY DEPLOYMENT, 2025–2030 (USD MILLION)
  • TABLE 52 PUBLIC CLOUD: GPU-AS-A-SERVICE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 53 PUBLIC CLOUD: GPU-AS-A-SERVICE MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 54 PRIVATE CLOUD: GPU-AS-A-SERVICE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 55 PRIVATE CLOUD: GPU-AS-A-SERVICE MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 56 HYBRID CLOUD: GPU-AS-A-SERVICE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 57 HYBRID CLOUD: GPU-AS-A-SERVICE MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 58 DATA CENTER GPU MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION)
  • TABLE 59 DATA CENTER GPU MARKET, BY DEPLOYMENT, 2025–2030 (USD MILLION)
  • TABLE 60 CLOUD: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 61 CLOUD: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 62 ON-PREMISES: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 63 ON-PREMISES: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 64 DATA CENTER GPU MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 65 DATA CENTER GPU MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 66 DATA CENTER GPU MARKET, BY FUNCTION, 2021–2024 (THOUSAND UNITS)
  • TABLE 67 DATA CENTER GPU MARKET, BY FUNCTION, 2025–2030 (THOUSAND UNITS)
  • TABLE 68 TRAINING: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 69 TRAINING: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 70 INFERENCE: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 71 INFERENCE: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 72 DATA CENTER GPU MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 73 DATA CENTER GPU MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
  • TABLE 74 DATA CENTER GPU MARKET FOR GENERATIVE AI, BY TYPE, 2021–2024 (USD MILLION)
  • TABLE 75 DATA CENTER GPU MARKET FOR GENERATIVE AI, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 76 GENERATIVE AI: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 77 GENERATIVE AI: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 78 RULE-BASED MODELS: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 79 RULE-BASED MODELS: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 80 STATISTICAL MODELS: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 81 STATISTICAL MODELS: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 82 DEEP LEARNING: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 83 DEEP LEARNING: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 84 GENERATIVE ADVERSARIAL NETWORKS (GANS): DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 85 GENERATIVE ADVERSARIAL NETWORKS (GANS): DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 86 AUTOENCODERS: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 87 AUTOENCODERS: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 88 CONVOLUTIONAL NEURAL NETWORKS (CNNS): DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 89 CONVOLUTIONAL NEURAL NETWORKS (CNNS): DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 90 TRANSFORMER MODELS: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 91 TRANSFORMER MODELS: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 92 MACHINE LEARNING: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 93 MACHINE LEARNING: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 94 NATURAL LANGUAGE PROCESSING: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 95 NATURAL LANGUAGE PROCESSING: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 96 COMPUTER VISION: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 97 COMPUTER VISION: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 98 DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 99 DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 100 DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2021–2024 (USD MILLION)
  • TABLE 101 DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2025–2030 (USD MILLION)
  • TABLE 102 CLOUD SERVICE PROVIDER: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 103 CLOUD SERVICE PROVIDER: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 104 CLOUD SERVICE PROVIDER: DATA CENTER GPU MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 105 CLOUD SERVICE PROVIDER: DATA CENTER GPU MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
  • TABLE 106 ENTERPRISES: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 107 ENTERPRISES: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 108 ENTERPRISES: DATA CENTER GPU MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 109 ENTERPRISES: DATA CENTER GPU MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
  • TABLE 110 HEALTHCARE: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 111 HEALTHCARE: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 112 BFSI: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 113 BFSI: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 114 AUTOMOTIVE: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 115 AUTOMOTIVE: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 116 RETAIL & E-COMMERCE: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 117 RETAIL & E-COMMERCE: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 118 MEDIA & ENTERTAINMENT: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 119 MEDIA & ENTERTAINMENT: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 120 OTHERS: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 121 OTHERS: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 122 GOVERNMENT ORGANIZATIONS: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 123 GOVERNMENT ORGANIZATIONS: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 124 GOVERNMENT ORGANIZATIONS: DATA CENTER GPU MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 125 GOVERNMENT ORGANIZATIONS: DATA CENTER GPU MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
  • TABLE 126 DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 127 DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 128 NORTH AMERICA: DATA CENTER GPU MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 129 NORTH AMERICA: DATA CENTER GPU MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 130 NORTH AMERICA: DATA CENTER GPU MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION)
  • TABLE 131 NORTH AMERICA: DATA CENTER GPU MARKET, BY DEPLOYMENT, 2025–2030 (USD MILLION)
  • TABLE 132 NORTH AMERICA: DATA CENTER GPU MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 133 NORTH AMERICA: DATA CENTER GPU MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 134 NORTH AMERICA: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 135 NORTH AMERICA: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 136 NORTH AMERICA: DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2021–2024 (USD MILLION)
  • TABLE 137 NORTH AMERICA: DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2025–2030 (USD MILLION)
  • TABLE 138 EUROPE: DATA CENTER GPU MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 139 EUROPE: DATA CENTER GPU MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 140 EUROPE: DATA CENTER GPU MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION)
  • TABLE 141 EUROPE: DATA CENTER GPU MARKET, BY DEPLOYMENT, 2025–2030 (USD MILLION)
  • TABLE 142 EUROPE: DATA CENTER GPU MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 143 EUROPE: DATA CENTER GPU MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 144 EUROPE: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 145 EUROPE: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 146 EUROPE: DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2021–2024 (USD MILLION)
  • TABLE 147 EUROPE: DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2025–2030 (USD MILLION)
  • TABLE 148 ASIA PACIFIC: DATA CENTER GPU MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 149 ASIA PACIFIC: DATA CENTER GPU MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 150 ASIA PACIFIC: DATA CENTER GPU MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION)
  • TABLE 151 ASIA PACIFIC: DATA CENTER GPU MARKET, BY DEPLOYMENT, 2025–2030 (USD MILLION)
  • TABLE 152 ASIA PACIFIC: DATA CENTER GPU MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 153 ASIA PACIFIC: DATA CENTER GPU MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 154 ASIA PACIFIC: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 155 ASIA PACIFIC: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 156 ASIA PACIFIC: DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2021–2024 (USD MILLION)
  • TABLE 157 ASIA PACIFIC: DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2025–2030 (USD MILLION)
  • TABLE 158 ROW: DATA CENTER GPU MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 159 ROW: DATA CENTER GPU MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 160 ROW: DATA CENTER GPU MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION)
  • TABLE 161 ROW: DATA CENTER GPU MARKET, BY DEPLOYMENT, 2025–2030 (USD MILLION)
  • TABLE 162 ROW: DATA CENTER GPU MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 163 ROW: DATA CENTER GPU MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 164 ROW: DATA CENTER GPU MARKET, BY END USER, 2021–2024 (USD MILLION)
  • TABLE 165 ROW: DATA CENTER GPU MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 166 ROW: DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2021–2024 (USD MILLION)
  • TABLE 167 ROW: DATA CENTER GPU MARKET, BY ENTERPRISE TYPE, 2025–2030 (USD MILLION)
  • TABLE 168 AFRICA: DATA CENTER GPU MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 169 AFRICA: DATA CENTER GPU MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 170 MIDDLE EAST: DATA CENTER GPU MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 171 MIDDLE EAST: DATA CENTER GPU MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 172 OVERVIEW OF STRATEGIES ADOPTED BY DATA CENTER GPU VENDORS AND CLOUD SERVICE PROVIDERS
  • TABLE 173 DATA CENTER GPU MARKET SHARE ANALYSIS, 2024
  • TABLE 174 DATA CENTER GPU MARKET: REGIONAL FOOTPRINT, 2024
  • TABLE 175 DATA CENTER GPU MARKET: DEPLOYMENT FOOTPRINT, 2024
  • TABLE 176 DATA CENTER GPU MARKET: FUNCTION FOOTPRINT, 2024
  • TABLE 177 DATA CENTER GPU MARKET: END USER FOOTPRINT, 2024
  • TABLE 178 GPU-AS-A-SERVICE (GPUAAS) MARKET: LIST OF KEY STARTUPS/SMES, 2024
  • TABLE 179 GPU-AS-A-SERVICE (GPUAAS) MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2024
  • TABLE 180 DATA CENTER GPU MARKET: PRODUCT LAUNCHES, FEBRUARY 2022−JANUARY 2025
  • TABLE 181 DATA CENTER GPU MARKET: DEALS, FEBRUARY 2022−JANUARY 2025
  • TABLE 182 NVIDIA CORPORATION: COMPANY OVERVIEW
  • TABLE 183 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 184 NVIDIA CORPORATION: PRODUCT LAUNCHES
  • TABLE 185 NVIDIA CORPORATION: DEALS
  • TABLE 186 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
  • TABLE 187 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 188 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
  • TABLE 189 ADVANCED MICRO DEVICES, INC.: DEALS
  • TABLE 190 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 191 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 192 INTEL CORPORATION: PRODUCT LAUNCHES
  • TABLE 193 INTEL CORPORATION: DEALS
  • TABLE 194 GOOGLE: COMPANY OVERVIEW
  • TABLE 195 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 196 GOOGLE: PRODUCT LAUNCHES
  • TABLE 197 GOOGLE: DEALS
  • TABLE 198 MICROSOFT: COMPANY OVERVIEW
  • TABLE 199 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 200 MICROSOFT: DEALS
  • TABLE 201 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
  • TABLE 202 AMAZON WEB SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 203 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
  • TABLE 204 AMAZON WEB SERVICES, INC.: DEALS
  • TABLE 205 IBM: COMPANY OVERVIEW
  • TABLE 206 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 207 IBM: PRODUCT LAUNCHES
  • TABLE 208 IBM: DEALS
  • TABLE 209 ALIBABA CLOUD: COMPANY OVERVIEW
  • TABLE 210 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 211 ALIBABA CLOUD: PRODUCT LAUNCHES
  • TABLE 212 ALIBABA CLOUD: DEALS
  • TABLE 213 ORACLE: COMPANY OVERVIEW
  • TABLE 214 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 215 ORACLE: PRODUCT LAUNCHES
  • TABLE 216 ORACLE: DEALS
  • TABLE 217 COREWEAVE: COMPANY OVERVIEW
  • TABLE 218 COREWEAVE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 219 COREWEAVE: DEALS
  • TABLE 220 TENCENT CLOUD: COMPANY OVERVIEW
  • TABLE 221 TENCENT CLOUD: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 222 TENCENT CLOUD: EXPANSIONS
  • TABLE 223 LAMBDA: COMPANY OVERVIEW
  • TABLE 224 LAMBDA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 225 LAMBDA: DEALS
  • TABLE 226 VAST.AI: COMPANY OVERVIEW
  • TABLE 227 RUNPOD: COMPANY OVERVIEW
  • TABLE 228 SCALEMATRIX HOLDINGS, INC.: COMPANY OVERVIEW
  • TABLE 229 DIGITALOCEAN: COMPANY OVERVIEW
  • TABLE 230 JARVISLABS.AI: COMPANY OVERVIEW
  • TABLE 231 FLUIDSTACK: COMPANY OVERVIEW
  • TABLE 232 OVH SAS: COMPANY OVERVIEW
  • TABLE 233 E2E NETWORKS LIMITED: COMPANY OVERVIEW
  • TABLE 234 ACE CLOUD: COMPANY OVERVIEW
  • TABLE 235 SNOWCELL: COMPANY OVERVIEW
  • TABLE 236 LINODE LLC: COMPANY OVERVIEW
  • TABLE 237 YOTTA DATA SERVICES PVT LTD: COMPANY OVERVIEW
  • TABLE 238 VULTR: COMPANY OVERVIEW
  • TABLE 239 RACKSPACE TECHNOLOGY: COMPANY OVERVIEW
  • TABLE 240 GCORE: COMPANY OVERVIEW
  • TABLE 241 NEBIUS B.V.: COMPANY OVERVIEW
LIST OF FIGURES
 
  • FIGURE 1 DATA CENTER GPU MARKET SEGMENTATION AND REGIONAL SCOPE
  • FIGURE 2 DATA CENTER GPU MARKET: RESEARCH DESIGN
  • FIGURE 3 DATA CENTER GPU MARKET: RESEARCH FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 4 DATA CENTER GPU MARKET: SUPPLY-SIDE ANALYSIS
  • FIGURE 5 DATA CENTER GPU MARKET: BOTTOM-UP APPROACH
  • FIGURE 6 DATA CENTER GPU MARKET: TOP-DOWN APPROACH
  • FIGURE 7 DATA CENTER GPU MARKET: DATA TRIANGULATION
  • FIGURE 8 CLOUD SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2030
  • FIGURE 9 INFERENCE FUNCTION SEGMENT TO DOMINATE MARKET IN 2030
  • FIGURE 10 GENERATIVE AI SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 11 CLOUD SERVICE PROVIDERS TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 12 ASIA PACIFIC TO LEAD MARKET IN 2030
  • FIGURE 13 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025
  • FIGURE 14 INCREASING INVESTMENT BY CLOUD SERVICE PROVIDERS AND GROWING ADOPTION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO DRIVE MARKET
  • FIGURE 15 ON-PREMISES SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 16 INFERENCE SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 17 GENERATIVE AI APPLICATION TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 18 ENTERPRISES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 19 CHINA TO WITNESS HIGHEST CAGR IN GLOBAL DATA CENTER GPU MARKET DURING FORECAST PERIOD
  • FIGURE 20 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES IN DATA CENTER GPU MARKET
  • FIGURE 21 IMPACT ANALYSIS: DRIVERS
  • FIGURE 22 DATA CENTER ELECTRICITY CONSUMPTION 2022–2026
  • FIGURE 23 IMPACT ANALYSIS: RESTRAINTS
  • FIGURE 24 IMPACT ANALYSIS: OPPORTUNITIES
  • FIGURE 25 IMPACT ANALYSIS: CHALLENGES
  • FIGURE 26 DATA CENTER GPU MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 27 DATA CENTER GPU: ECOSYSTEM ANALYSIS
  • FIGURE 28 DATA CENTER GPU MARKET: VALUE CHAIN ANALYSIS
  • FIGURE 29 IMPORT SCENARIO FOR HS CODE 847330-COMPLIANT PRODUCTS IN TOP 5 COUNTRIES, 2010–2024
  • FIGURE 30 EXPORT SCENARIO FOR HS CODE 847330-COMPLIANT PRODUCTS IN TOP 5 COUNTRIES, 2020–2024
  • FIGURE 31 AVERAGE SELLING PRICE OF DATA CENTER GPUS, BY REGION, 2021–2024 (USD)
  • FIGURE 32 DATA CENTER GPU MARKET: PATENT ANALYSIS, 2014–2024
  • FIGURE 33 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 END USERS
  • FIGURE 34 KEY BUYING CRITERIA FOR TOP 3 END USERS
  • FIGURE 35 INVESTMENT AND FUNDING SCENARIO, 2023 Q1–2024 Q2
  • FIGURE 36 TRENDS/DISRUPTIONS INFLUENCING CUSTOMER BUSINESS
  • FIGURE 37 IAAS SEGMENT TO DOMINATE GPU-AS-A-SERVICE MARKET DURING FORECAST PERIOD
  • FIGURE 38 ASIA PACIFIC TO RECORD HIGHEST CAGR IN MARKET FOR PAAS BETWEEN 2025 AND 2030
  • FIGURE 39 PUBLIC CLOUD SEGMENT TO CAPTURE LARGEST MARKET SHARE IN 2030
  • FIGURE 40 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE OF MARKET FOR PRIVATE CLOUD IN 2030
  • FIGURE 41 CLOUD SEGMENT TO REGISTER HIGHER MARKET SIZE DURING FORECAST PERIOD
  • FIGURE 42 BENEFITS OF CLOUD-BASED DEPLOYMENT
  • FIGURE 43 INFERENCE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 44 GENERATIVE AI SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 45 CLOUD SERVICE PROVIDERS SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
  • FIGURE 46 ASIA PACIFIC TO BE FASTEST-GROWING MARKET DURING FORECAST PERIOD
  • FIGURE 47 NORTH AMERICA: DATA CENTER GPU MARKET SNAPSHOT
  • FIGURE 48 US TO RECORD HIGHEST MARKET SIZE DURING FORECAST PERIOD
  • FIGURE 49 EUROPE: DATA CENTER GPU MARKET SNAPSHOT
  • FIGURE 50 UK TO BE FASTEST-GROWING MARKET IN EUROPE DURING FORECAST PERIOD
  • FIGURE 51 ASIA PACIFIC: DATA CENTER GPU MARKET SNAPSHOT
  • FIGURE 52 CHINA TO LEAD DATA CENTER GPU MARKET IN ASIA PACIFIC DURING FORECAST PERIOD
  • FIGURE 53 ROW: DATA CENTER GPU MARKET SNAPSHOT
  • FIGURE 54 SOUTH AMERICA TO LEAD DATA CENTER GPU MARKET IN ROW DURING FORECAST PERIOD
  • FIGURE 55 REVENUE ANALYSIS OF FIVE KEY PLAYERS IN DATA CENTER GPU MARKET, 2021–2024 (USD MILLION)
  • FIGURE 56 DATA CENTER GPU MARKET: SHARE OF KEY PLAYERS
  • FIGURE 57 COMPANY VALUATION, 2025 (USD TRILLION)
  • FIGURE 58 FINANCIAL METRICS (EV/EBITDA), 2025
  • FIGURE 59 BRAND/PRODUCT COMPARISON
  • FIGURE 60 DATA CENTER GPU MARKET: COMPETITIVE EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 61 GPU-AS-A-SERVICE (GPUAAS) MARKET: COMPETITIVE EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 62 DATA CENTER GPU MARKET: COMPANY FOOTPRINT, 2024
  • FIGURE 63 GPU-AS-A-SERVICE (GPUAAS) MARKET: EVALUATION MATRIX (STARTUPS/SMES), 2024
  • FIGURE 64 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 65 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 66 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 67 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 68 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 69 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 70 IBM: COMPANY SNAPSHOT
  • FIGURE 71 ORACLE: COMPANY SNAPSHOT
  • FIGURE 72 COREWEAVE: COMPANY SNAPSHOT
  • FIGURE 73 TENCENT CLOUD: COMPANY SNAPSHOT

The study involved four major activities in estimating the current size of the data center GPU market. Exhaustive secondary research was done to collect information on the market, peer, and parent markets. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. After that, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.

Secondary Research

Various secondary sources have been referred to in the secondary research process to identify and collect important information for this study. The secondary sources include annual reports, press releases, and investor presentations of companies; white papers; journals and certified publications; and articles from recognized authors, websites, directories, and databases. Secondary research has been conducted to obtain critical information about the industry’s supply chain, the market’s value chain, the total pool of key players, market segmentation according to the industry trends (to the bottom-most level), regional markets, and key developments from market- and technology-oriented perspectives. The secondary data has been collected and analyzed to determine the overall market size, further validated by primary research.

Primary Research

Extensive primary research was conducted after gaining knowledge about the current scenario of the image sensor market through secondary research. Several primary interviews were conducted with experts from the demand and supply sides across four major regions: North America, Europe, the Asia Pacific, and the Rest of the World. This primary data was collected through questionnaires, emails, and telephonic interviews.

Data Center GPU Market
 Size, and Share

Note: Other designations include technology heads, media analysts, sales managers, marketing managers, and product managers.

Companies are classified into tiers based on their total revenues as of 2024?Tier 1: >USD 1 billion, Tier 2: USD 500 million–1 billion, and Tier 3: USD 500 million.

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the complete market engineering process, top-down and bottom-up approaches and several data triangulation methods have been used to estimate and forecast the overall market segments and subsegments listed in this report. Key players in the market have been identified through secondary research, and their market shares in the respective regions have been determined through primary and secondary research. This entire procedure includes the study of annual and financial reports of the top market players and extensive interviews for key insights (quantitative and qualitative) with industry experts (CEOs, VPs, directors, and marketing executives).

All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources. All the parameters affecting the markets covered in this research study have been accounted for, viewed in detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data has been consolidated and supplemented with detailed input and analysis from MarketsandMarkets and presented in this report. The following figure represents this study’s overall market size estimation process.

Bottom-Up Approach

  • Identifying key participants that influence the entire market, along with the related component players
  • Analyzing major manufacturers of data center GPUs, studying their portfolios, and understanding different types
  • Analyzing trends pertaining to the use of data center GPUs in different kinds of industries
  • Tracking the ongoing and upcoming developments in the market, such as investments, R&D activities, product/service launches, collaborations, and partnerships, and forecasting the market based on these developments and other critical parameters
  • Carrying out multiple discussions with key opinion leaders to understand different types of data center GPU trends in the market, thereby analyzing the breakup of the scope of work carried out by major companies
  • Arriving at the market estimates by analyzing the revenues of companies generated and then combining them to get the market estimate
  • Segmenting the overall market into various other market segments
  • Verifying and cross-checking the estimate at every level, from discussions with key opinion leaders such as CXOs, directors, and operations managers, and finally with the domain experts at MarketsandMarkets
  • Studying various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases

Top-Down Approach

  • Focusing initially on the top-line investments and expenditures being made in the ecosystem of the data center GPU market, splitting the key market areas based on type, function, end user, and region, and listing the key developments
  • Identifying all leading players in the data center GPU market based on type, function, and end user through secondary research and fully verifying them through a brief discussion with Industry experts
  • Analyzing revenues, product mix, geographic presence, and key applications served by all identified players to estimate and arrive at percentage splits for all key segments
  • Discussing splits with industry experts to validate the information and identify key growth pockets across all key segments
  • Breaking down the total market based on verified splits and key growth pockets across all segments

Data Center GPU Market : Top-Down and Bottom-Up Approach

Data Center GPU Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes explained above, the market has been split into several segments and subsegments. Data triangulation and market breakdown procedures have been employed to complete the entire market engineering process and arrive at the exact statistics of each market segment and subsegment. The data has been triangulated by studying various factors and trends from the demand and supply sides in the data center GPU market.

Market Definition

A data center GPU is a specialized processor optimized for parallel processing in large-scale computing environments. It is used primarily to accelerate workloads such as artificial intelligence (AI) inference and training, high-performance computing (HPC), data analytics, and video processing in cloud and enterprise data centers.

Key Stakeholders

  • Raw Material Suppliers
  • Original Equipment Manufacturers (OEMs)
  • Original Design Manufacturers (ODM) and Technology Solution Providers
  • Research Institutes
  • Data Center GPU Manufacturers
  • Data Center GPU Forums, Alliances, and Associations
  • Governments and Financial Institutions
  • Analysts and Strategic Business Planners

Report Objectives

  • To describe and forecast the data center GPU market by deployment, function, application, end user, and region.
  • To forecast the data center GPU market by function in terms of volume
  • To provide the market size estimation for North America, Europe, Asia Pacific, and the Rest of the World (RoW), along with their respective country-level market sizes, in terms of value
  • To provide detailed information regarding drivers, restraints, opportunities, and challenges influencing market growth
  • To provide a value chain analysis, ecosystem analysis, case study analysis, patent analysis, trade analysis, technology analysis, pricing analysis, key conferences and events, key stakeholders and buying criteria, Porter’s five forces analysis, investment and funding scenario, and regulations pertaining to the market.
  • To strategically analyze micromarkets1 with regard to individual growth trends, prospects, and contributions to the total market
  • To analyze opportunities for stakeholders by identifying high-growth segments of the market
  • To strategically profile the key players, comprehensively analyze their market positions in terms of ranking and core competencies2, and provide a competitive market landscape
  • To analyze strategic approaches, such as product launches, expansions, and partnerships, in the data center GPU market
  • To analyze the impact of the macroeconomic outlook for each region

Customization Options:

With the given market data, MarketsandMarkets offers customizations according to the specific requirements of companies. The following customization options are available for the report:

  • Detailed analysis and profiling of additional market players based on various blocks of the supply chain

Previous Versions of this Report

Data Center GPU Market by Deployment (Cloud, On-premises), Function (Training, Inference), Application (Generative AI, Machine Learning, Natural Language Processing, Computer Vision), End User (CSP, Enterprises) & Region - Global Forecast to 2030

Report Code SE 8838
Published in Nov, 2023, By MarketsandMarkets™
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Growth opportunities and latent adjacency in Data Center GPU Market

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