
Data-Center Artificial Intelligence (AI) Chips Market Report 2026
Global Outlook – By Chip Type (Graphics Processing Units, Application Specific Integrated Circuits, Tensor Processing Units), By Memory Technology (High Bandwidth Memory, Double Data Rate Memory, Graphics Double Data Rate Memory), By Deployment Type (Cloud Data Centers, Hyperscale Data Centers, Enterprise Data Centers), By Application (Large Language Model Training, Artificial Intelligence Inference, Machine Learning), By End Use (Information Technology, Telecommunications, Healthcare) – Market Size, Trends, Strategies, and Forecast to 2030
Data-Center Artificial Intelligence (AI) Chips Market Overview
• Data-Center Artificial Intelligence (AI) Chips market size has reached to $15.37 billion in 2025 • Expected to grow to $37.29 billion in 2030 at a compound annual growth rate (CAGR) of 19.3% • Growth Driver: Expansion Of 5G Infrastructure And Connectivity Fueling The Growth Of The Market Due To Increasing Demand For Real-time Data Processing And AI-driven Network Optimization • Market Trend: High-Performance AI Processors Enable Trillion-Parameter Model Deployment • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.What Is Covered Under Data-Center Artificial Intelligence (AI) Chips Market?
Data center artificial intelligence (AI) chips are specialized semiconductor processors designed to accelerate AI workloads in data center environments. They support AI model training, inference, data analytics, and high-performance computing while delivering high computational performance, energy efficiency, and scalability for cloud providers, enterprises, and research organizations. The main chip types of data-center artificial intelligence (AI) chips include graphics processing units, application specific integrated circuits, and tensor processing units. Graphics processing units refer to high-performance parallel processing chips designed to accelerate artificial intelligence training, inference, and large-scale data processing workloads in modern data centers. These chips utilize memory technologies such as high bandwidth memory, double data rate memory, and graphics double data rate memory and are deployed across cloud data centers, hyperscale data centers, and enterprise data centers. The various applications involved are large language model training, artificial intelligence inference, and machine learning and they are utilized by end uses including information technology, telecommunications, and healthcare.
What Is The Data-Center Artificial Intelligence (AI) Chips Market Size and Share 2026?
The data-center artificial intelligence (ai) chips market size has grown rapidly in recent years. It will grow from $15.37 billion in 2025 to $18.4 billion in 2026 at a compound annual growth rate (CAGR) of 19.7%. The growth in the historic period can be attributed to increasing adoption of artificial intelligence applications, rising demand for cloud based AI services, growing expansion of data center infrastructure, increasing requirement for high performance computing, rising deployment of machine learning workloads.What Is The Data-Center Artificial Intelligence (AI) Chips Market Growth Forecast?
The data-center artificial intelligence (ai) chips market size is expected to see rapid growth in the next few years. It will grow to $37.29 billion in 2030 at a compound annual growth rate (CAGR) of 19.3%.The growth in the forecast period can be attributed to increasing demand for generative AI processing, growing need for AI inference optimization, rising adoption of specialized AI accelerators, increasing investments in AI focused data centers, growing requirement for energy efficient AI computing solutions. Major trends in the forecast period include increasing development of high performance ai accelerator chips, growing adoption of energy efficient ai semiconductor architectures, rising integration of advanced memory technologies for ai processing, increasing demand for ai chip scalability in data center environments, growing focus on advanced chip packaging for ai workloads.
Global Data-Center Artificial Intelligence (AI) Chips Market Segmentation
2) By Memory Technology: High Bandwidth Memory, Double Data Rate Memory, Graphics Double Data Rate Memory 3) By Deployment Type: Cloud Data Centers, Hyperscale Data Centers, Enterprise Data Centers 4) By Application: Large Language Model Training, Artificial Intelligence Inference, Machine Learning 5) By End Use: Information Technology, Telecommunications, Healthcare Subsegments: 1) By Graphics Processing Units: Data Center Graphics Processing Units, Artificial Intelligence Training Graphics Processing Units, Artificial Intelligence Inference Graphics Processing Units 2) By Application Specific Integrated Circuits: Artificial Intelligence Training Application Specific Integrated Circuits, Artificial Intelligence Inference Application Specific Integrated Circuits, Neural Network Application Specific Integrated Circuits 3) By Tensor Processing Units: Cloud Tensor Processing Units, Training Tensor Processing Units, Inference Tensor Processing UnitsWhat Is The Driver Of The Data-Center Artificial Intelligence (AI) Chips Market?
The expansion of 5G infrastructure and connectivity is expected to propel the growth of the data-center artificial intelligence (AI) chips market going forward. 5G infrastructure and connectivity refer to the network hardware, software, and communication technologies that enable ultra-fast, low-latency, and high-capacity wireless connectivity for devices, applications, and services. The expansion of 5G infrastructure and connectivity is increasing due to the growing demand for high-speed, low-latency wireless communication to support data-intensive applications and connected devices. Data-center AI chips support 5G infrastructure by enabling real-time data processing, network optimization, edge computing, and AI-driven analytics required to manage massive volumes of data generated across 5G networks. For instance, in May 2025, according to Telefonaktiebolaget LM Ericsson , a Sweden-based telecommunications company, 5G mobile subscriptions are projected to grow from 1.62 billion in 2023 to 6.29 billion by 2030. Therefore, the expansion of 5G infrastructure and connectivity is driving the growth of the data-center artificial intelligence (AI) chips industry.Key Players In The Global Data-Center Artificial Intelligence (AI) Chips Market
Major companies operating in the data-center artificial intelligence (ai) chips market are NVIDIA Corporation, Broadcom Inc., Advanced Micro Devices Inc, Intel Corporation, Alphabet Inc., Amazon.com Inc., Microsoft Corporation, Qualcomm Incorporated, Cerebras Systems Inc., SambaNova Systems Inc., Tenstorrent Inc., Groq Inc., Biren Technology Co. Ltd., MetaX Integrated Circuits, Huawei Technologies Co. Ltd., Alibaba Group Holding Limited Holding Ltd., Cambricon Technologies, Baidu Inc., Lightmatter Inc., Esperanto Technologies Inc., Untether AI Corporation, Etched.ai Inc., Axelera AI B.V., FuriosaAI Inc., Kalray S.A., d-Matrix Corporation, MatX Inc., Rebellions Inc., Moore Threads
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Global Data-Center Artificial Intelligence (AI) Chips Market Trends and Insights
Major companies operating in the data-center artificial intelligence (AI) chips market are focusing on developing advanced chip architectures, such as AI computing platforms, to enhance computational performance, improve energy efficiency, and support increasingly complex generative AI workloads. AI computing platforms combine specialized AI processors, high-speed interconnects, and optimized software to execute large-scale AI training and inference tasks more efficiently than traditional computing systems. For instance, in March 2024, NVIDIA Corporation, a US-based technology company, launched the Blackwell platform, a next-generation accelerated computing architecture designed to power real-time generative AI on trillion-parameter large language models. The platform features the Blackwell GPU architecture, incorporating six breakthrough technologies for accelerated computing and delivering up to 25 times lower cost and energy consumption compared to its predecessor. Blackwell is designed to support advanced applications, including data processing, engineering simulation, electronic design automation, computer-aided drug discovery, quantum computing, and generative AI workloads in data center environments.What Are Latest Mergers And Acquisitions In The Data-Center Artificial Intelligence (AI) Chips Market?
In August 2024, AMD, a US-based semiconductor company, acquired Silo AI for approximately $665 million. Through this acquisition, AMD aims to strengthen its end-to-end data center AI capabilities by integrating Silo AI's expertise in AI model development, deployment, and software optimization, accelerating AI solutions designed for AMD-powered data center AI chips and expanding its enterprise AI offerings. Silo AI is a Finland-based artificial intelligence company that develops AI models, platforms, and enterprise AI solutions optimized for high-performance computing and data center environments.
Regional Outlook/Insights
North America was the largest region in the data-center artificial intelligence (AI) chips 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 Data-Center Artificial Intelligence (AI) Chips Market?
The data-center artificial intelligence (AI) chips market consists of sales of AI accelerators, tensor processing units (TPUs), neural processing units (npus), and data processing units (DPUs). The market value includes the value of related goods sold by the service provider or included within the service offering. 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, system integrators, wholesalers, distributors, cloud service providers, 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.
This chart presents market attractiveness based on a quantitative evaluation of growth, competition, strategic alignment, and risk, offering a clear view of opportunity areas for decision-making. This chart is for illustrative purposes; the full report contains the complete analysis.

This chart highlights the Total Addressable Market (TAM) by estimating the maximum revenue opportunity using an assumption-driven approach, supporting strategic planning and opportunity sizing across markets. The chart is illustrative; the full report provides a more comprehensive analysis.
What Key Data and Analysis Are Included in the Data-Center Artificial Intelligence (AI) Chips Market Report 2026?
The data-center artificial intelligence (ai) chips market research report is one of a series of new reports from The Business Research Company that provides data-center artificial intelligence (ai) chips market statistics, including data-center artificial intelligence (ai) chips industry global market size, regional shares, competitors with a data-center artificial intelligence (ai) chips market share, detailed data-center artificial intelligence (ai) chips market segments, market trends and opportunities, and any further data you may need to thrive in the data-center artificial intelligence (ai) chips industry. This data-center artificial intelligence (ai) chips 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.Data-Center Artificial Intelligence (AI) Chips Market Report Forecast Analysis
| Report Attribute | Details |
|---|---|
| Market Size Value In 2026 | $18.4 billion |
| Revenue Forecast In 2030 | $37.29 billion |
| Growth Rate | CAGR of 19.3% from 2026 to 2030 |
| Base Year For Estimation | 2025 |
| Actual Estimates/Historical Data | 2020-2025 |
| Forecast Period | 2026 - 2030 |
| Market Representation | Revenue in USD Billion and CAGR from 2026 to 2030 |
| Segments Covered | Chip Type, Memory Technology, Deployment Type, Application, End Use |
| Regional Scope | Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa |
| Country Scope | The countries covered in the report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain. |
| Key Companies Profiled | NVIDIA Corporation, Broadcom Inc., Advanced Micro Devices Inc, Intel Corporation, Alphabet Inc., Amazon.com Inc., Microsoft Corporation, Qualcomm Incorporated, Cerebras Systems Inc., SambaNova Systems Inc., Tenstorrent Inc., Groq Inc., Biren Technology Co. Ltd., MetaX Integrated Circuits, Huawei Technologies Co. Ltd., Alibaba Group Holding Limited Holding Ltd., Cambricon Technologies, Baidu Inc., Lightmatter Inc., Esperanto Technologies Inc., Untether AI Corporation, Etched.ai Inc., Axelera AI B.V., FuriosaAI Inc., Kalray S.A., d-Matrix Corporation, MatX Inc., Rebellions Inc., Moore Threads |
| Customization Scope | Request for Customization |
| Pricing And Purchase Options | Explore Purchase Options |
