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Data-Center Artificial Intelligence (AI) Chips Market Report 2026
Published :September 2026
Pages :325
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 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.
Data-Center Artificial Intelligence (AI) Chips Market Global Report 2026 Market Report bar graph

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.
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Top Market Segments Chart For Data-Center Artificial Intelligence (Ai) Chips Market Showing Segment-Wise Market Share Distribution.

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 Units

What 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
Top 10 Competitor Analysis And Market Overview Pie Chart For The Data-Center Artificial Intelligence (Ai) Chips Market

This chart is for illustrative purposes; the full report includes a detailed competitor analysis and comprehensive overview of the top 10 companies in the market.

Bubble Chart Of Company Scoring Matrix By Innovation, Brand And Revenue For The Data-Center Artificial Intelligence (Ai) Chips Market

This chart maps companies by product innovation and brand strength, with bubble size indicating relative revenue, helping identify market leaders, challengers, and niche players. This is an illustrative chart; the full report provides a complete and accurate competitive analysis.

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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.
Market Analysis Map Highlighting Largest Region For Data-Center Artificial Intelligence (Ai) Chips Market

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.
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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.
Market Attractiveness Scoring And Analysis Chart Evaluating Growth, Competition, Risk Factors For The Data-Center Artificial Intelligence (Ai) Chips Market

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.

Total Addressable Market Analysis Chart Displaying Revenue Potential And Market Size For The Data-Center Artificial Intelligence (Ai) Chips Market

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.

Access full TAM calculations and growth projections in our report Get Report

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 RateCAGR of 19.3% from 2026 to 2030
Base Year For Estimation2025
Actual Estimates/Historical Data2020-2025
Forecast Period2026 - 2030
Market RepresentationRevenue in USD Billion and CAGR from 2026 to 2030
Segments CoveredChip Type, Memory Technology, Deployment Type, Application, End Use
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, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Key Companies ProfiledNVIDIA 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 ScopeRequest for Customization
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