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.
The increasing adoption of cloud services is expected to drive the growth of the data center graphics processing units (GPUs) market. Cloud services involve delivering computing resources such as storage, processing power, and software applications over the internet, allowing users to access and manage these resources on-demand without the need to own or manage physical infrastructure. The rise in cloud services is attributed to their cost-efficiency, scalability, and accessibility, enabling businesses to quickly adapt to changing needs without investing in physical infrastructure. Data center GPUs enhance cloud services by accelerating data-intensive tasks, leading to faster and more efficient processing of applications such as AI, machine learning, and real-time graphics, which improves the overall performance and scalability of cloud-based solutions. For example, in December 2023, Eurostat, a Luxembourg-based government agency, reported that 42.5% of EU enterprises were using cloud computing services, mainly for email, file storage, and office software. Thus, the growing adoption of cloud services is fueling the expansion of the data center GPUs market.
Major companies in the data center graphics processing units (GPUs) market are focusing on technological advancements, such as energy-efficient GPUs, to reduce operational costs, improve performance, and lessen the environmental impact of large-scale data centers. Energy-efficient GPUs are designed to deliver high computing performance while consuming less power, thereby reducing energy costs and promoting sustainability in data centers. For example, in March 2024, Nvidia Corporation, a US-based software company, introduced the NVIDIA Blackwell platform. The Blackwell GPU architecture incorporates six transformative technologies aimed at advancing accelerated computing. It is designed to support breakthroughs in areas such as data processing, engineering simulation, and generative AI, enabling real-time AI operations on trillion-parameter models while reducing costs and energy use by up to 25 times compared to previous models.
In November 2023, Netweb Technologies India Ltd., an India-based company specializing in computer integrated systems design, partnered with Nvidia Corporation. This collaboration will allow Netweb Technologies to manufacture advanced GPU servers integrated with AI, utilizing Nvidia's Grace CPU and GH200 Superchip designs. The partnership is set to produce over ten variations of the Tyrone AI system, providing businesses with flexible and powerful solutions for AI and high-performance computing, including applications in generative AI, speech analytics, and automation. Nvidia Corporation is a US-based software company known for developing high-performance GPUs for advanced computing tasks.
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.
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 the data center graphics processing unit (gpu) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the data center graphics processing unit (gpu) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have significantly impacted the data center gpu market by increasing the cost of importing advanced semiconductors, discrete gpus, and related components. These higher costs have affected data center expansion plans, particularly for cloud service providers and enterprises in tariff sensitive regions. Asia pacific and north america experience strong effects due to concentration of semiconductor manufacturing and consumption. Discrete gpus are more impacted than integrated solutions because of higher import dependency. On the positive side, tariffs are driving regional chip manufacturing investments, supply chain diversification, and long term resilience in gpu availability.
The data center graphics processing unit (gpu) market research report is one of a series of new reports that provides data center graphics processing unit (gpu) market statistics, including data center graphics processing unit (gpu) industry global market size, regional shares, competitors with a data center graphics processing unit (gpu) market share, detailed data center graphics processing unit (gpu) market segments, market trends and opportunities, and any further data you may need to thrive in the data center graphics processing unit (gpu) industry. This data center graphics processing unit (gpu) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
A data center graphics processing unit (GPU) is a specialized hardware component designed to accelerate graphical processing and computational tasks within data centers. It enhances high-performance computing, data analysis, and artificial intelligence applications by offering advantages such as faster data processing, improved performance for complex computations, increased efficiency in managing large-scale data, and better support for AI, machine learning, and high-performance computing tasks.
The primary products in the data center GPU market are discrete and integrated GPUs. Discrete GPUs are independent units engineered to tackle demanding tasks such as rendering intricate graphics and executing high-speed computations. Deployment models for these GPUs include on-premises and cloud-based solutions, and they support various functions, including training and inference. The end-users of these GPUs include cloud service providers, enterprises, and government agencies.
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.
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.
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Table of Contents
Executive Summary
Data Center Graphics Processing Unit (GPU) Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses data center graphics processing unit (gpu) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for data center graphics processing unit (gpu)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The data center graphics processing unit (gpu) market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Type: High-Performance Graphics Processing Unit (GPU); General-Purpose Graphics Processing Unit (GPGPU); Artificial Intelligence (AI) Or Deep Learning Accelerators2) 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 Systems2) 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
Companies Mentioned: 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Data Center Graphics Processing Unit (GPU) market report include:- 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
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 34.73 Billion |
| Forecasted Market Value ( USD | $ 106.51 Billion |
| Compound Annual Growth Rate | 32.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |


