Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Report 2026

Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Overview

• Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) market size has reached to $11.12 billion in 2025 • Expected to grow to $32.3 billion in 2030 at a compound annual growth rate (CAGR) of 23.8% • Growth Driver: The Expansion Of Artificial Intelligence Adoption Is Fueling The Growth Of The Market Due To Rising Demand For High-Performance Data Center Computing • Market Trend: Advanced GPU-Centric Computing Platforms Transforming AI Data Center Infrastructure • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market?

Artificial intelligence (AI) data center graphics processing units (GPUs) are high-performance computing accelerators designed to handle intensive parallel processing tasks required by AI workloads. They support training and inference of machine learning and deep learning models by efficiently processing large volumes of data. These are used to deliver high computational power, scalability, and energy efficiency for AI applications in cloud, enterprise, and hyperscale data center environments. The main product types of artificial intelligence data center graphics processing units include graphics processing units, accelerator cards, graphics processing unit servers, compute accelerator modules, and artificial intelligence accelerator chips. Graphics processing units refer to high-performance processors designed to accelerate complex computations required for artificial intelligence workloads, including deep learning training and inference tasks. These products are used for functions such as training and inference. They can be deployed through on-premises environments or cloud-based platforms. The various end users include information technology and telecom companies, healthcare and life sciences organizations, financial services firms, retail and e-commerce businesses, automotive and transportation companies, and research and academic institutions.

What Is The Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Growth Forecast?

The artificial intelligence (AI) data center graphics processing units (gpus) market size is expected to see exponential growth in the next few years. It will grow to $32.3 billion in 2030 at a compound annual growth rate (CAGR) of 23.8%. The growth in the forecast period can be attributed to generative AI expansion, sovereign AI infrastructure, energy efficiency requirements, AI model scaling, edge and hybrid AI deployments. Major trends in the forecast period include high-performance AI training GPUs, energy-efficient inference acceleration, scalable multi-GPU architectures, liquid-cooled data center GPUs, AI workload optimization.

Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Segmentation

1) By Product Type: Graphics Processing Units, Accelerator Cards, Graphics Processing Unit Servers, Compute Accelerator Modules, Artificial Intelligence Accelerator Chips 2) By Function: Training, Inference 3) By Deployment Model: On Premises, Cloud Based 4) By End Use Industry: Information Technology And Telecom, Healthcare And Life Sciences, Financial Services, Retail And E-Commerce, Automotive And Transportation, Research And Academia Subsegments: 1) By Graphics Processing Units: Training Optimized Graphics Processing Units, Inference Optimized Graphics Processing Units, High Memory Capacity Graphics Processing Units, Energy Efficient Graphics Processing Units 2) By Accelerator Cards: Tensor Processing Accelerator Cards, Neural Network Accelerator Cards, High Performance Computing Accelerator Cards, Data Center Optimized Accelerator Cards 3) By Graphics Processing Unit Servers: Single Node Graphics Processing Unit Servers, Multi Node Graphics Processing Unit Servers, Rack Mounted Graphics Processing Unit Servers, High Density Graphics Processing Unit Servers 4) By Compute Accelerator Modules: Embedded Compute Accelerator Modules, Modular Compute Accelerator Modules, High Bandwidth Compute Accelerator Modules, Scalable Compute Accelerator Modules 5) By Artificial Intelligence Accelerator Chips: Machine Learning Accelerator Chips, Deep Learning Accelerator Chips, Inference Focused Accelerator Chips

What Is The Driver Of The Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market?

The expansion of artificial intelligence adoption is expected to propel the growth of the artificial intelligence (AI) data center graphics processing units (GPUs) market going forward. Artificial intelligence adoption is rising due to the rapid integration of generative artificial intelligence (AI) tools into enterprise workflows and consumer-facing applications, significantly increasing computational requirements. AI data center GPUs accelerate the training and execution of complex machine learning models, enabling faster and more scalable adoption of artificial intelligence across industries. For instance, in January 2026, according to Microsoft Corporation, a US-based technology company, global adoption of generative artificial intelligence (AI) tools increased to 16.3% of the world’s population, up from 15.1% in the first half of 2025, reflecting a notable and accelerating uptake for a technology that remains in the early stages of market maturity. Therefore, the expansion of artificial intelligence adoption is driving the growth of the artificial intelligence (AI) data center graphics processing units (GPUs) industry.

Key Players In The Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

Major companies operating in the artificial intelligence (AI) data center graphics processing units (gpus) market are Google LLC, Microsoft Corporation, Huawei Technologies Co. Ltd., Tencent Holdings Limited, Broadcom Inc., Intel Corporation, Oracle Corporation, Qualcomm Incorporated, NVIDIA Corporation, Advanced Micro Devices Inc., Inspur Electronic Information Industry Co. Ltd., GIGA-BYTE Technology Co. Ltd., VVDN Technologies Pvt. Ltd., Lambda Inc. (Lambda Labs), Changsha Jingjia Microelectronics Co. Ltd., Tenstorrent Inc., EdgeCortix Inc., Cerebras Systems Inc., EXXACT Corporation, and Etched.ai Inc.

Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Trends and Insights

Major companies operating in the artificial intelligence (AI) data center graphics processing units (GPUs) market are focusing on developing innovative GPU-centric computing platforms, such as next-generation AI accelerator architectures, to enhance performance, scalability, and energy efficiency for high-performance computing (HPC) and AI workloads. GPU-centric computing platforms are advanced data center solutions that integrate high-performance GPUs with optimized CPUs, memory, and high-speed interconnects to accelerate large-scale AI model training, inference, and data-intensive computations. For instance, in January 2026, NVIDIA, a US-based provider of accelerated computing, AI hardware, and data center solutions, launched the Vera Rubin AI computing platform. The platform is designed to significantly boost AI and HPC performance by combining next-generation GPUs with advanced system architecture, enabling faster training of large AI models, improved throughput, and reduced total cost of ownership for data centers. This launch reflects the broader industry trend of leveraging advanced GPU technologies to meet the rising computational demands driven by AI and big data growth.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market?

In December 2025, Nvidia, a US-based provider of accelerated computing platforms, GPUs, and AI infrastructure solutions, acquired Groq for approximately $20 billion. With this acquisition, Nvidia aimed to strengthen its technological capabilities and market position by integrating Groq’s high-performance AI inference technology and top engineering talent into its product portfolio to expand its leadership across both AI training and inference workloads. Groq is a US-based AI semiconductor startup specializing in high-performance AI accelerator chips and inference architectures designed to deliver low-latency, high-throughput computing for large-scale AI applications.

Regional Outlook

North America was the largest region in the artificial intelligence (AI) data center graphics processing units (GPUs) 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.

What Defines the Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market?

The artificial intelligence (AI) data center graphics processing units (GPUs) market consists of sales of inference accelerator graphics processing units, training accelerator graphics processing units, graphics processing unit compute boards, multi graphics processing unit systems, graphics processing unit interconnect modules, and liquid cooled graphics processing units. 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Report 2026?

The artificial intelligence (ai) data center graphics processing units (gpus) 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 artificial intelligence (ai) data center graphics processing units (gpus) 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.