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Global Data Center Graphics Processing Unit (GPU) Market Report 2026
Published :January 2026
Pages :150
Format :PDF
Delivery Time :2-3 Business Days
Why 2-3 days? We update the report with the latest data and news before delivery. Let us know if you need us to expedite.
Report Price :$4,490.00

Data Center Graphics Processing Unit (GPU) Market Report 2026

Global Outlook – By Type (High-Performance Graphics Processing Unit (GPU), General-Purpose Graphics Processing Unit (GPGPU), Artificial Intelligence (AI) Or Deep Learning Accelerators), By Deployment (On-Premise, Cloud Based), By Application (Cloud Computing, High-Performance Computing (HPC), Artificial Intelligence (AI) And Machine Learning (ML), Graphics Rendering, Virtual Desktop Infrastructure (VDI)), By Industry (Information Technology (IT) And Telecom, Banking, Financial Services And Insurance (BFSI), Healthcare And Life Sciences, Manufacturing, Automotive, Media And Entertainment, Energy And Utilities, Other Industries) – Market Size, Trends, Strategies, and Forecast to 2035

Data Center Graphics Processing Unit (GPU) Market Overview

• Data Center Graphics Processing Unit (GPU) market size has reached to $26.13 billion in 2025 • Expected to grow to $106.51 billion in 2030 at a compound annual growth rate (CAGR) of 32.3% • Growth Driver: Growing Cloud Services Adoption Fuels Demand in the Data Center GPUs Market • Market Trend: Advancements in Energy-Efficient GPUs Through Pioneering Sustainable Computing with NVIDIA's Blackwell Platform • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.
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What Is Covered Under Data Center Graphics Processing Unit (GPU) Market?

Data center graphics processing unit (GPU) is a specialized hardware component designed to accelerate graphical processing and computational tasks within data centers, enabling high-performance computing, data analysis, and artificial intelligence applications. It offers advantages such as accelerated data processing, enhanced performance for complex computations, improved efficiency in handling large-scale data, and optimized support for AI, machine learning, and high-performance computing tasks. The main products in the data center graphics processing unit (GPU) market are discrete and integrated. Discrete GPUs are standalone graphics processing units designed to handle demanding computing tasks, including rendering complex graphics and performing high-speed computations. The various deployment models include on-premises and cloud, and several functions including training and inference. The different end-users encompass cloud service providers, enterprises, and government.
Data Center Graphics Processing Unit (GPU) market report bar graph

What Is The Data Center Graphics Processing Unit (GPU) Market Size and Share 2026?

The data center graphics processing unit (gpu) market size has grown exponentially in recent years. It will grow from $26.13 billion in 2025 to $34.73 billion in 2026 at a compound annual growth rate (CAGR) of 32.9%. The growth in the historic period can be attributed to growth of data intensive applications, early adoption of parallel computing, expansion of data centers, demand for faster processing, rise of virtualization technologies.

What Is The Data Center Graphics Processing Unit (GPU) Market Growth Forecast?

The data center graphics processing unit (gpu) market size is expected to see exponential growth in the next few years. It will grow to $106.51 billion in 2030 at a compound annual growth rate (CAGR) of 32.3%. The growth in the forecast period can be attributed to generative AI adoption, hyperscale cloud expansion, demand for real time analytics, enterprise AI workloads, increasing HPC investments. Major trends in the forecast period include accelerated AI and ml workloads, rising demand for high performance computing, shift toward gpu based inference, energy efficient gpu architectures, cloud deployed gpu infrastructure.

Global Data Center Graphics Processing Unit (GPU) Market Segmentation

1) By Type: High-Performance Graphics Processing Unit (GPU), General-Purpose Graphics Processing Unit (GPGPU), Artificial Intelligence (AI) Or Deep Learning Accelerators 2) By Deployment: On-Premise, Cloud Based 3) By Application: Cloud Computing, High-Performance Computing (HPC), Artificial Intelligence (AI) And Machine Learning (ML), Graphics Rendering, Virtual Desktop Infrastructure (VDI) 4) By Industry: Information Technology (IT) And Telecom, Banking, Financial Services And Insurance (BFSI), Healthcare And Life Sciences, Manufacturing, Automotive, Media And Entertainment, Energy And Utilities, Other Industries Subsegments: 1) By High-Performance Graphics Processing Unit (GPU): Compute-Optimized High-Performance GPUs, Memory-Optimized High-Performance GPUs, Ray-Tracing Enabled High-Performance GPUs, Multi-GPU High-Performance Systems 2) By General-Purpose Graphics Processing Unit (GPGPU): Parallel Computing GPGPUs, Scientific Computing GPGPUs, Rendering-Focused GPGPUs, Virtualization-Enabled GPGPUs 3) By Artificial Intelligence (AI) Or Deep Learning Accelerators: Tensor Core AI Accelerators, Neural Network Optimized GPUs, AI Inference Accelerators, Mixed-Precision Deep Learning GPUs

What Is The Driver Of The Data Center Graphics Processing Unit (GPU) Market?

The growing adoption of cloud services is expected to propel the growth of the data center graphics processing units (GPUs) market going forward. Cloud services refer to the delivery of computing resources, including storage, processing power, and software applications, over the internet, allowing users to access and manage these resources on-demand without needing to own or manage physical infrastructure. The adoption of cloud services is growing due to their cost-efficiency, scalability, and ease of access, allowing businesses to quickly adapt to changing needs without investing in physical infrastructure. Data center graphics processing units (GPUs) boost cloud services by accelerating data-intensive tasks, enabling faster and more efficient processing of applications such as AI, machine learning, and real-time graphics, thereby enhancing the overall performance and scalability of cloud-based solutions. For instance, in December 2023, according to the Eurostat, a Luxembourg-based government agency responsible for statistics and data on Europe, 42.5% of EU enterprises were using cloud computing services by 2023, primarily for email, file storage, and office software. This marks a 4.2 percentage point increase from 2021. Therefore, the growing adoption of cloud services is driving the growth of the data center graphics processing units (GPUs) market.

Key Players In The Global Data Center Graphics Processing Unit (GPU) Market

Major companies operating in the data center graphics processing unit (gpu) market are Google LLC, Samsung Electronics Co. Ltd., Dell Inc., Huawei Technologies Co. Ltd., Lenovo Group Limited, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Qualcomm Technologies Incorporated, Oracle Corporation, Broadcom Inc., Micron Technology Inc., Hewlett Packard Enterprise Company, Nvidia Corporation, NEC Corporation, Advanced Micro Devices Inc., ASML Holding N.V., ASUSTeK Computer Inc., Inventec Corporation, Super Micro Computer Inc., Gigabyte Technology Co. Ltd., Marvell Technology Inc., Arm Holdings plc, Advantech Co. Ltd., Zotac Technology Limited

What Are Latest Mergers And Acquisitions In The Data Center Graphics Processing Unit (GPU) Market?

In November 2023, Netweb Technologies India Ltd., an India-based computer integrated systems design company, partnered with Nvidia Corporation. This partnership with Nvidia will enable the company to manufacture advanced GPU servers integrated with AI using Nvidia's Grace CPU and GH200 Superchip designs. This collaboration will lead to the production of over ten Tyrone AI system variations, offering businesses flexible and powerful solutions for AI and high-performance computing, including applications such as generative AI, speech analytics, and automation. Nvidia Corporation is a US-based software company focusing on developing high accelerated GPUs for high-level computing.

Regional Insights

North America was the largest region in the data center graphics processing unit (GPU) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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What Defines the Data Center Graphics Processing Unit (GPU) Market?

The data center graphics processing unit (GPU) market consists of revenues earned by entities by providing services such as high-performance computing (HPC), rendering, and visualization. The market value includes the value of related goods sold by the service provider or included within the service offering. The data center graphics processing unit (GPU) also includes sales of GPU accelerators, GPU servers, and GPU cards. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Data Center Graphics Processing Unit (GPU) Market Report 2026?

The data center graphics processing unit (gpu) market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the data center graphics processing unit (gpu) industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.

Data Center Graphics Processing Unit (GPU) Market Report Forecast Analysis

Report Attribute Details
Market Size Value In 2026$34.73 billion
Revenue Forecast In 2035$106.51 billion
Growth RateCAGR of 32.9% from 2026 to 2035
Base Year For Estimation2025
Actual Estimates/Historical Data2020-2025
Forecast Period2026 - 2030 - 2035
Market RepresentationRevenue in USD Billion and CAGR from 2026 to 2035
Segments CoveredType, Deployment, Application, Industry
Regional ScopeAsia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Country ScopeThe countries covered in the report are Australia, Brazil, China, France, Germany, India, ...
Key Companies ProfiledGoogle LLC, Samsung Electronics Co. Ltd., Dell Inc., Huawei Technologies Co. Ltd., Lenovo Group Limited, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Qualcomm Technologies Incorporated, Oracle Corporation, Broadcom Inc., Micron Technology Inc., Hewlett Packard Enterprise Company, Nvidia Corporation, NEC Corporation, Advanced Micro Devices Inc., ASML Holding N.V., ASUSTeK Computer Inc., Inventec Corporation, Super Micro Computer Inc., Gigabyte Technology Co. Ltd., Marvell Technology Inc., Arm Holdings plc, Advantech Co. Ltd., Zotac Technology Limited
Customization ScopeRequest for Customization
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