Global Data Center GPU Market Size, Share & Industry Trends Analysis Report By End User (Cloud Service Providers, Enterprises and Government), By Deployment Type, By Function (Training and Inference), By Regional Outlook and Forecast, 2023 - 2030

Global Data Center GPU Market Size, Share & Industry Trends Analysis Report By End User (Cloud Service Providers, Enterprises and Government), By Deployment Type, By Function (Training and Inference), By Regional Outlook and Forecast, 2023 - 2030


The Global Data Center GPU Market size is expected to reach $114.2 billion by 2030, rising at a market growth of 32.3% CAGR during the forecast period.

Cloud service providers offering GPU instances in Canada will likely see increased demand as AI initiatives progress. Organizations looking to leverage AI technologies without investing heavily in on-premises infrastructure often turn to cloud-based GPU resources for scalability and flexibility. Therefore, the North America region generated a revenue of $5,044.6 million in 2022. With its advanced scientific research facilities and industries, North America witnessed increased demand for GPUs to power simulations, scientific research, and data analytics in data centers. Some of the factors affecting the market are increasing adoption of artificial intelligence and machine learning, growth in data analytics and big data processing and high initial cost of data center GPUS.

GPUs are designed with a highly parallel architecture, consisting of thousands of cores that can handle multiple tasks simultaneously. This parallelism is particularly beneficial for AI and ML workloads, which involve processing large datasets through parallel operations. AI and ML algorithms, especially deep learning models, heavily rely on matrix operations and linear algebra computations. These factors will help expand the data center GPU market. Moreover, Big data analytics involves performing complex computations on vast datasets. GPUs are designed with thousands of cores that can execute multiple tasks simultaneously, making them highly efficient for parallel processing. Parallelism facilitates the simultaneous completion of data processing duties, substantially reducing the time needed for analysis. These factors will drive the demand for data center GPU market.

Furthermore, Smaller enterprises often operate on tighter budgets compared to larger organizations. The high upfront cost of GPUs can pose a considerable challenge for these businesses, limiting their ability to invest in advanced GPU infrastructure for data center applications. The significant upfront investment required for GPU infrastructure can strain IT budgets for organizations of all sizes. This strain may lead to trade-offs between adopting GPU technology and allocating resources to other critical IT initiatives or operational needs. These aspects can limit the future expansion of the data center GPU market.

End User Outlook

Based on end user, the market is segmented into cloud service providers, enterprises, and government. In 2022, the cloud service providers segment witnessed the maximum revenue share in the market. GPU virtualization technologies enable multiple users or workloads to share GPU resources efficiently. Cloud providers have implemented GPU virtualization, allowing customers to run diverse GPU-accelerated workloads on the same physical GPU hardware. This enhances resource utilization and provides a cost-effective solution for users with varying computational requirements. As a result, the segment will witness increased growth in the segment.

Deployment Type Outlook

Based on deployment type, the market is segmented into on-premises and cloud. In 2022, the cloud segment garnered a significant revenue share in the market. The overall growth of cloud services has been a major driver for the increased deployment of GPUs in cloud data centers. Cloud service providers offer scalable and on-demand computing resources, making it easier for organizations to access GPU-accelerated capabilities without significant upfront investments. Therefore, the segment is expected to grow rapidly in the coming years.

Function Outlook

On the basis of function, the market is divided into training and inference. The training segment recorded the maximum revenue share in the data center GPU market in 2022. As AI models become more sophisticated and complex, the computational requirements for training these models also escalate. Modern neural networks with millions or even billions of parameters demand powerful hardware acceleration to reduce training times. GPUs provide the parallel processing capabilities required to handle the increased complexity of these networks. As a result, there will be increased demand in the segment.

Regional Outlook

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. In 2022, the Europe segment acquired a considerable revenue share in the market. Expanding cloud computing services in Europe may increase demand for data center GPUs. Cloud service providers often utilize GPU acceleration to enhance the performance of their services, attracting businesses looking to leverage cloud-based GPU resources. Europe has been involved in various high-performance computing initiatives, particularly in scientific research and academia. If there is continued investment in HPC infrastructure, it could lead to increased demand for data center GPUs. These aspects will fuel the growth of the Europe segment.

The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include NVIDIA Corporation, Intel Corporation, Advanced Micro Devices, Inc., Samsung Electronics Co., Ltd. (Samsung Group), Micron Technology, Inc., Qualcomm Incorporated (Qualcomm Technologies, Inc.), IBM Corporation, Google LLC (Alphabet Inc.), Microsoft Corporation, Imagination Technologies Limited.

Scope of the Study

Market Segments covered in the Report:

By End User
  • Cloud Service Providers
  • Enterprises
  • Government
By Deployment Type
  • On-premises
  • Cloud
By Function
  • Training
  • Inference
By Geography
  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA
Companies Profiled
  • NVIDIA Corporation
  • Intel Corporation
  • Advanced Micro Devices, Inc.
  • Samsung Electronics Co., Ltd. (Samsung Group)
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • IBM Corporation
  • Google LLC (Alphabet Inc.)
  • Microsoft Corporation
  • Imagination Technologies Limited
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Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Data Center GPU Market, by End User
1.4.2 Global Data Center GPU Market, by Deployment Type
1.4.3 Global Data Center GPU Market, by Function
1.4.4 Global Data Center GPU Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2022
4.2 Strategies Deployed in Data Center GPU Market
4.3 Porter’s Five Forces Analysis
Chapter 5. Global Data Center GPU Market, By End User
5.1 Global Cloud Service Providers Market, By Region
5.2 Global Enterprises Market, By Region
5.3 Global Government Market, By Region
Chapter 6. Global Data Center GPU Market, By Deployment Type
6.1 Global On-premise Market, By Region
6.2 Global Cloud Market, By Region
Chapter 7. Global Data Center GPU Market, By Function
7.1 Global Training Market, By Region
7.2 Global Inference Market, By Region
Chapter 8. Global Data Center GPU Market, By Region
8.1 North America Data Center GPU Market
8.1.1 North America Data Center GPU Market, By End User
8.1.1.1 North America Cloud Service Providers Market, By Country
8.1.1.2 North America Enterprises Market, By Country
8.1.1.3 North America Government Market, By Country
8.1.2 North America Data Center GPU Market, By Deployment Type
8.1.2.1 North America On-premise Market, By Country
8.1.2.2 North America Cloud Market, By Country
8.1.3 North America Data Center GPU Market, By Function
8.1.3.1 North America Training Market, By Country
8.1.3.2 North America Inference Market, By Country
8.1.4 North America Data Center GPU Market, By Country
8.1.4.1 US Data Center GPU Market
8.1.4.1.1 US Data Center GPU Market, By End User
8.1.4.1.2 US Data Center GPU Market, By Deployment Type
8.1.4.1.3 US Data Center GPU Market, By Function
8.1.4.2 Canada Data Center GPU Market
8.1.4.2.1 Canada Data Center GPU Market, By End User
8.1.4.2.2 Canada Data Center GPU Market, By Deployment Type
8.1.4.2.3 Canada Data Center GPU Market, By Function
8.1.4.3 Mexico Data Center GPU Market
8.1.4.3.1 Mexico Data Center GPU Market, By End User
8.1.4.3.2 Mexico Data Center GPU Market, By Deployment Type
8.1.4.3.3 Mexico Data Center GPU Market, By Function
8.1.4.4 Rest of North America Data Center GPU Market
8.1.4.4.1 Rest of North America Data Center GPU Market, By End User
8.1.4.4.2 Rest of North America Data Center GPU Market, By Deployment Type
8.1.4.4.3 Rest of North America Data Center GPU Market, By Function
8.2 Europe Data Center GPU Market
8.2.1 Europe Data Center GPU Market, By End User
8.2.1.1 Europe Cloud Service Providers Market, By Country
8.2.1.2 Europe Enterprises Market, By Country
8.2.1.3 Europe Government Market, By Country
8.2.2 Europe Data Center GPU Market, By Deployment Type
8.2.2.1 Europe On-premise Market, By Country
8.2.2.2 Europe Cloud Market, By Country
8.2.3 Europe Data Center GPU Market, By Function
8.2.3.1 Europe Training Market, By Country
8.2.3.2 Europe Inference Market, By Country
8.2.4 Europe Data Center GPU Market, By Country
8.2.4.1 Germany Data Center GPU Market
8.2.4.1.1 Germany Data Center GPU Market, By End User
8.2.4.1.2 Germany Data Center GPU Market, By Deployment Type
8.2.4.1.3 Germany Data Center GPU Market, By Function
8.2.4.2 UK Data Center GPU Market
8.2.4.2.1 UK Data Center GPU Market, By End User
8.2.4.2.2 UK Data Center GPU Market, By Deployment Type
8.2.4.2.3 UK Data Center GPU Market, By Function
8.2.4.3 France Data Center GPU Market
8.2.4.3.1 France Data Center GPU Market, By End User
8.2.4.3.2 France Data Center GPU Market, By Deployment Type
8.2.4.3.3 France Data Center GPU Market, By Function
8.2.4.4 Russia Data Center GPU Market
8.2.4.4.1 Russia Data Center GPU Market, By End User
8.2.4.4.2 Russia Data Center GPU Market, By Deployment Type
8.2.4.4.3 Russia Data Center GPU Market, By Function
8.2.4.5 Spain Data Center GPU Market
8.2.4.5.1 Spain Data Center GPU Market, By End User
8.2.4.5.2 Spain Data Center GPU Market, By Deployment Type
8.2.4.5.3 Spain Data Center GPU Market, By Function
8.2.4.6 Italy Data Center GPU Market
8.2.4.6.1 Italy Data Center GPU Market, By End User
8.2.4.6.2 Italy Data Center GPU Market, By Deployment Type
8.2.4.6.3 Italy Data Center GPU Market, By Function
8.2.4.7 Rest of Europe Data Center GPU Market
8.2.4.7.1 Rest of Europe Data Center GPU Market, By End User
8.2.4.7.2 Rest of Europe Data Center GPU Market, By Deployment Type
8.2.4.7.3 Rest of Europe Data Center GPU Market, By Function
8.3 Asia Pacific Data Center GPU Market
8.3.1 Asia Pacific Data Center GPU Market, By End User
8.3.1.1 Asia Pacific Cloud Service Providers Market, By Country
8.3.1.2 Asia Pacific Enterprises Market, By Country
8.3.1.3 Asia Pacific Government Market, By Country
8.3.2 Asia Pacific Data Center GPU Market, By Deployment Type
8.3.2.1 Asia Pacific On-premise Market, By Country
8.3.2.2 Asia Pacific Cloud Market, By Country
8.3.3 Asia Pacific Data Center GPU Market, By Function
8.3.3.1 Asia Pacific Training Market, By Country
8.3.3.2 Asia Pacific Inference Market, By Country
8.3.4 Asia Pacific Data Center GPU Market, By Country
8.3.4.1 China Data Center GPU Market
8.3.4.1.1 China Data Center GPU Market, By End User
8.3.4.1.2 China Data Center GPU Market, By Deployment Type
8.3.4.1.3 China Data Center GPU Market, By Function
8.3.4.2 Japan Data Center GPU Market
8.3.4.2.1 Japan Data Center GPU Market, By End User
8.3.4.2.2 Japan Data Center GPU Market, By Deployment Type
8.3.4.2.3 Japan Data Center GPU Market, By Function
8.3.4.3 India Data Center GPU Market
8.3.4.3.1 India Data Center GPU Market, By End User
8.3.4.3.2 India Data Center GPU Market, By Deployment Type
8.3.4.3.3 India Data Center GPU Market, By Function
8.3.4.4 South Korea Data Center GPU Market
8.3.4.4.1 South Korea Data Center GPU Market, By End User
8.3.4.4.2 South Korea Data Center GPU Market, By Deployment Type
8.3.4.4.3 South Korea Data Center GPU Market, By Function
8.3.4.5 Singapore Data Center GPU Market
8.3.4.5.1 Singapore Data Center GPU Market, By End User
8.3.4.5.2 Singapore Data Center GPU Market, By Deployment Type
8.3.4.5.3 Singapore Data Center GPU Market, By Function
8.3.4.6 Malaysia Data Center GPU Market
8.3.4.6.1 Malaysia Data Center GPU Market, By End User
8.3.4.6.2 Malaysia Data Center GPU Market, By Deployment Type
8.3.4.6.3 Malaysia Data Center GPU Market, By Function
8.3.4.7 Rest of Asia Pacific Data Center GPU Market
8.3.4.7.1 Rest of Asia Pacific Data Center GPU Market, By End User
8.3.4.7.2 Rest of Asia Pacific Data Center GPU Market, By Deployment Type
8.3.4.7.3 Rest of Asia Pacific Data Center GPU Market, By Function
8.4 LAMEA Data Center GPU Market
8.4.1 LAMEA Data Center GPU Market, By End User
8.4.1.1 LAMEA Cloud Service Providers Market, By Country
8.4.1.2 LAMEA Enterprises Market, By Country
8.4.1.3 LAMEA Government Market, By Country
8.4.2 LAMEA Data Center GPU Market, By Deployment Type
8.4.2.1 LAMEA On-premise Market, By Country
8.4.2.2 LAMEA Cloud Market, By Country
8.4.3 LAMEA Data Center GPU Market, By Function
8.4.3.1 LAMEA Training Market, By Country
8.4.3.2 LAMEA Inference Market, By Country
8.4.4 LAMEA Data Center GPU Market, By Country
8.4.4.1 Brazil Data Center GPU Market
8.4.4.1.1 Brazil Data Center GPU Market, By End User
8.4.4.1.2 Brazil Data Center GPU Market, By Deployment Type
8.4.4.1.3 Brazil Data Center GPU Market, By Function
8.4.4.2 Argentina Data Center GPU Market
8.4.4.2.1 Argentina Data Center GPU Market, By End User
8.4.4.2.2 Argentina Data Center GPU Market, By Deployment Type
8.4.4.2.3 Argentina Data Center GPU Market, By Function
8.4.4.3 UAE Data Center GPU Market
8.4.4.3.1 UAE Data Center GPU Market, By End User
8.4.4.3.2 UAE Data Center GPU Market, By Deployment Type
8.4.4.3.3 UAE Data Center GPU Market, By Function
8.4.4.4 Saudi Arabia Data Center GPU Market
8.4.4.4.1 Saudi Arabia Data Center GPU Market, By End User
8.4.4.4.2 Saudi Arabia Data Center GPU Market, By Deployment Type
8.4.4.4.3 Saudi Arabia Data Center GPU Market, By Function
8.4.4.5 South Africa Data Center GPU Market
8.4.4.5.1 South Africa Data Center GPU Market, By End User
8.4.4.5.2 South Africa Data Center GPU Market, By Deployment Type
8.4.4.5.3 South Africa Data Center GPU Market, By Function
8.4.4.6 Nigeria Data Center GPU Market
8.4.4.6.1 Nigeria Data Center GPU Market, By End User
8.4.4.6.2 Nigeria Data Center GPU Market, By Deployment Type
8.4.4.6.3 Nigeria Data Center GPU Market, By Function
8.4.4.7 Rest of LAMEA Data Center GPU Market
8.4.4.7.1 Rest of LAMEA Data Center GPU Market, By End User
8.4.4.7.2 Rest of LAMEA Data Center GPU Market, By Deployment Type
8.4.4.7.3 Rest of LAMEA Data Center GPU Market, By Function
Chapter 9. Company Profiles
9.1 NVIDIA Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 Intel Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Product Launches and Product Expansions:
9.2.5.2 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 Advanced Micro Devices, Inc.
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Product Launches and Product Expansions:
9.3.6 SWOT Analysis
9.4 Samsung Electronics Co., Ltd. (Samsung Group)
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 SWOT Analysis
9.5 Micron Technology, Inc.
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 SWOT Analysis
9.6 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Research & Development Expense
9.6.5 Recent strategies and developments:
9.6.5.1 Partnerships, Collaborations, and Agreements:
9.6.5.2 Product Launches and Product Expansions:
9.6.6 SWOT Analysis
9.7 IBM Corporation
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Regional & Segmental Analysis
9.7.4 Research & Development Expenses
9.7.5 SWOT Analysis
9.8 Google LLC (Alphabet Inc.)
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental and Regional Analysis
9.8.4 Research & Development Expense
9.8.5 Recent strategies and developments:
9.8.5.1 Product Launches and Product Expansions:
9.8.6 SWOT Analysis
9.9 Microsoft Corporation
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expenses
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.9.5.2 Acquisition and Mergers:
9.9.6 SWOT Analysis
9.10. Imagination Technologies Limited
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Regional Analysis
9.10.4 Research & Development Expenses
9.10.5 Recent strategies and developments:
9.10.5.1 Product Launches and Product Expansions:
9.10.6 SWOT Analysis
Chapter 10. Winning Strategies of Data Center GPU Market

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