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2131973

2026年全球資料中心人工智慧（AI）晶片市場報告

Data-Center Artificial Intelligence (AI) Chips Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，資料中心人工智慧（AI）晶片市場發展迅速。預計該市場規模將從2025年的153.7億美元成長到2026年的184億美元，複合年成長率（CAGR）為19.7%。過去幾年的成長主要得益於人工智慧應用的日益普及、對雲端人工智慧服務需求的不斷成長、資料中心基礎設施的擴張、高效能運算需求的增加以及機器學習工作負載的日益普及。

未來幾年，資料中心人工智慧 (AI) 晶片市場規模預計將快速成長。預計到 2030 年，該市場將以 19.3% 的複合年成長率成長，達到 372.9 億美元。預測期內的成長要素包括：對生成式 AI 處理的需求不斷成長、對 AI 推理最佳化的需求不斷成長、專用 AI 加速器的應用日益普及、對 AI 專用資料中心的投資不斷增加，以及對節能型 AI 計算解決方案的需求不斷成長。預測期內的關鍵趨勢包括：高效能 AI 加速器晶片的研發不斷推進、節能型 AI 半導體架構的應用日益廣泛、先進記憶體技術在 AI 處理中的整合度不斷提高、資料中心環境中對 AI 晶片可擴展性的需求不斷成長，以及對用於 AI 工作負載的先進晶片封裝技術的日益關注。

5G基礎設施和連接的擴展預計將推動資料中心人工智慧（AI）晶片市場的成長。 5G基礎設施和連接指的是能夠為設備、應用和服務提供超高速、低延遲、高容量無線連接的網路硬體、軟體和通訊技術。這項擴展的驅動力來自對高速、低延遲無線通訊日益成長的需求，以支援數據密集型應用，以及聯網設備數量的不斷成長。資料中心AI晶片透過實現即時資料處理、網路最佳化、邊緣運算和AI驅動的分析，為5G基礎設施提供支撐，這些功能對於管理整個5G網路產生的大量資料至關重要。例如，根據瑞典電信公司愛立信預測，截至2025年5月，5G行動用戶數量預計將從2023年的16.2億增加到2030年的62.9億。因此，5G基礎設施和連接的擴展正在推動資料中心人工智慧（AI）晶片市場的成長。

資料中心人工智慧 (AI) 晶片市場的領導者正致力於開發先進的晶片結構，包括 AI 運算平台，以提升運算效能和能效，並應對日益複雜的生成式 AI 工作負載。 AI 運算平台整合了專用 AI 處理器、高速互連和最佳化軟體，能夠比傳統運算系統更有效率地執行大規模AI 訓練和推理任務。例如，總部位於美國的科技公司 NVIDIA 於 2024 年 3 月發布了 Blackwell 平台，這是一款新一代加速運算架構，旨在為擁有數兆個參數的大型語言模型提供即時生成式 AI 功能。該平台基於 Blackwell GPU 架構，融合了六項突破性加速運算技術，與前幾代產品相比，成本和能耗最多可降低 25 倍。 Blackwell 旨在支援資料中心環境中的進階應用，包括資料處理、工程模擬、電子設計自動化、電腦輔助藥物發現、量子運算和生成式 AI 工作負載。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球資料中心人工智慧（AI）晶片市場：吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧和自主智慧
    • 數位化、雲端運算、巨量資料、網路安全
    • 工業4.0和智慧製造
    • 物聯網、智慧基礎設施、互聯生態系統
    • 永續性、氣候技術、循環經濟
  • 主要趨勢
    • 高性能人工智慧加速晶片的研發正變得越來越活躍。
    • 擴大節能型人工智慧半導體架構的應用
    • 先進記憶體技術在人工智慧處理的應用正在不斷推進。
    • 資料中心環境中對人工智慧晶片可擴展性的需求日益成長。
    • 人們對用於人工智慧工作負載的高效能晶片封裝越來越感興趣。

第5章 終端用戶產業市場分析

  • 資訊科技
  • 電訊
  • 衛生保健
  • 雲端服務供應商
  • 研究和學術機構

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球資料中心人工智慧（AI）晶片市場：PESTEL 分析
  • 全球資料中心人工智慧（AI）晶片市場：規模、對比及成長率分析
  • 全球資料中心人工智慧（AI）晶片市場表現：規模與成長，2020-2025年
  • 全球資料中心人工智慧（AI）晶片市場預測：規模與成長，2025-2030年，2035年

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 按晶片類型
  • 圖形處理單元、專用積體電路、張量處理單元
  • 透過儲存技術
  • 高頻寬記憶體、雙倍資料速率記憶體、圖形雙倍資料速率內存
  • 依部署類型
  • 雲端資料中心、超大規模資料中心、企業資料中心
  • 透過使用
  • 大規模語言模型的訓練、利用人工智慧和機器學習進行推理
  • 按最終用途
  • 資訊科技、通訊、醫療保健
  • 按類型細分：圖形處理單元
  • 資料中心圖形處理器、人工智慧訓練圖形處理器、人工智慧推理圖形處理器
  • 按類型細分：專用積體電路
  • 用於人工智慧訓練的專用積體電路、用於人工智慧推理的專用積體電路、用於神經網路的專用積體電路
  • 依類型進行子分割：張量處理單元
  • 用於雲端的張量處理單元、用於訓練的張量處理單元、用於推理的張量處理單元

第10章 區域與國別分析

第11章 亞太市場

第12章：中國市場

第13章：印度市場

第14章：日本市場

第15章：澳洲市場

第16章：印尼市場

第17章：韓國市場

第18章 台灣市場

第19章 東南亞市場

第20章 西歐市場

第21章英國市場

第22章：德國市場

第23章：法國市場

第24章：義大利市場

第25章：西班牙市場

第26章：東歐市場

第27章：俄羅斯市場

第28章 北美市場

第29章：美國市場

第30章：加拿大市場

第31章：南美市場

第32章：巴西市場

第33章 中東市場

第34章：非洲市場

第35章 市場監理與投資環境

第36章：競爭格局與公司概況

  • 資料中心人工智慧（AI）晶片市場：競爭格局及市場佔有率（2024年）
  • 資料中心人工智慧（AI）晶片市場：公司估值矩陣
  • 資料中心人工智慧（AI）晶片市場：公司概況
    • NVIDIA Corporation
    • Broadcom Inc.
    • Advanced Micro Devices Inc
    • Intel Corporation
    • Alphabet Inc.

第37章 其他大型企業和創新企業

  • 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 Ltd., Cambricon Technologies, Baidu Inc., Lightmatter Inc., Esperanto Technologies Inc.

第38章：全球市場競爭基準分析與儀錶板

第39章：預計進入市場的新創企業

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年資料中心人工智慧（AI）晶片市場：蘊藏新機會的國家
  • 2030年資料中心人工智慧（AI）晶片市場：新興細分市場機會
  • 2030年資料中心人工智慧（AI）晶片市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
Product Code: EE6MDCAI01_G26Q3

Data center artificial intelligence (AI) chips are specialized semiconductor processors developed to accelerate AI workloads within data center environments. They support AI model training, inference, data analytics, and high-performance computing while providing high computational performance, energy efficiency, and scalability for cloud providers, enterprises, and research organizations.

The primary 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 include large language model training, artificial intelligence inference, and machine learning, and they are utilized by end users including information technology, telecommunications, and healthcare.

Tariffs are influencing the data center artificial intelligence (AI) chips market by increasing the cost of semiconductor manufacturing equipment, advanced chip components, and supply chain operations required for AI processor production. These trade restrictions are affecting AI accelerators, graphics processing units, and application-specific integrated circuits, particularly in regions such as Asia-Pacific, North America, and Europe that depend on global semiconductor manufacturing networks. Hardware-intensive segments, including AI training chips, high-bandwidth memory technologies, and hyperscale data center deployments, are experiencing higher cost pressures due to import dependencies. However, tariffs are also encouraging domestic semiconductor manufacturing, regional supply chain diversification, and investments in local AI chip development ecosystems.

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.

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 during the historic period was driven by 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, and rising deployment of machine learning workloads.

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 during the forecast period is 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, and 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, and growing focus on advanced chip packaging for AI workloads.

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 being driven by the rising demand for high-speed, low-latency wireless communication to support data-intensive applications and an increasing number of connected devices. Data-center AI chips facilitate 5G infrastructure by enabling real-time data processing, network optimization, edge computing, and AI-powered analytics needed to manage the vast amounts of data generated across 5G networks. For instance, in May 2025, according to Ericsson, a Sweden-based telecommunications company, 5G mobile subscriptions are expected to increase 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 market.

Major companies operating in the data-center artificial intelligence (AI) chips market are concentrating on developing advanced chip architectures, including AI computing platforms, to improve computational performance, increase energy efficiency, and support increasingly sophisticated generative AI workloads. AI computing platforms integrate specialized AI processors, high-speed interconnects, and optimized software to perform large-scale AI training and inference tasks more efficiently than conventional computing systems. For instance, in March 2024, NVIDIA Corporation, a US-based technology company, introduced the Blackwell platform, a next-generation accelerated computing architecture designed to enable real-time generative AI for trillion-parameter large language models. The platform is built on the Blackwell GPU architecture, incorporating six breakthrough technologies for accelerated computing while delivering up to 25 times lower cost and energy consumption than its predecessor. Blackwell is engineered to support advanced applications such as data processing, engineering simulation, electronic design automation, computer-aided drug discovery, quantum computing, and generative AI workloads in data center environments.

In August 2024, AMD, a US-based semiconductor company, acquired Silo AI for approximately $665 million. Through this acquisition, AMD intends to enhance 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 while expanding its enterprise AI portfolio. 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.

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

North America was the dominating region in the data-center artificial intelligence (AI) chips market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the data-center artificial intelligence (AI) chips 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 artificial intelligence (AI) chips market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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.

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.

Data-Center Artificial Intelligence (AI) Chips Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses data-center artificial intelligence (ai) chips 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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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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Where is the largest and fastest growing market for data-center artificial intelligence (ai) chips ? 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 artificial intelligence (ai) chips market global report from the Business Research Company 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.

Scope

  • Markets Covered:1) By Chip Type: Graphics Processing Units; Application Specific Integrated Circuits; Tensor Processing Units
  • 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
  • Companies Mentioned: 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
  • 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 Segmentations: 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.
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Data-Center Artificial Intelligence (AI) Chips Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Data-Center Artificial Intelligence (AI) Chips Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Data-Center Artificial Intelligence (AI) Chips Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Data-Center Artificial Intelligence (AI) Chips Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.3 Industry 4.0 & Intelligent Manufacturing
    • 4.1.4 Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 Increasing Development Of High Performance AI Accelerator Chips
    • 4.2.2 Growing Adoption Of Energy Efficient AI Semiconductor Architectures
    • 4.2.3 Rising Integration Of Advanced Memory Technologies For AI Processing
    • 4.2.4 Increasing Demand For AI Chip Scalability In Data Center Environments
    • 4.2.5 Growing Focus On Advanced Chip Packaging For AI Workloads

5. Data-Center Artificial Intelligence (AI) Chips Market Analysis Of End Use Industries

  • 5.1 Information Technology
  • 5.2 Telecommunications
  • 5.3 Healthcare
  • 5.4 Cloud Service Providers
  • 5.5 Research And Academic Institutions

6. Data-Center Artificial Intelligence (AI) Chips Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Data-Center Artificial Intelligence (AI) Chips Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Data-Center Artificial Intelligence (AI) Chips PESTEL Analysis (Political, Economical, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Data-Center Artificial Intelligence (AI) Chips Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Data-Center Artificial Intelligence (AI) Chips Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Data-Center Artificial Intelligence (AI) Chips Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Data-Center Artificial Intelligence (AI) Chips Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Data-Center Artificial Intelligence (AI) Chips Market Segmentation

  • 9.1. Global Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Graphics Processing Units, Application Specific Integrated Circuits, Tensor Processing Units
  • 9.2. Global Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Memory Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • High Bandwidth Memory, Double Data Rate Memory, Graphics Double Data Rate Memory
  • 9.3. Global Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Cloud Data Centers, Hyperscale Data Centers, Enterprise Data Centers
  • 9.4. Global Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Large Language Model Training, Artificial Intelligence Inference, Machine Learning
  • 9.5. Global Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Information Technology, Telecommunications, Healthcare
  • 9.6. Global Data-Center Artificial Intelligence (AI) Chips Market, Sub-Segmentation Of Graphics Processing Units, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Data Center Graphics Processing Units, Artificial Intelligence Training Graphics Processing Units, Artificial Intelligence Inference Graphics Processing Units
  • 9.7. Global Data-Center Artificial Intelligence (AI) Chips Market, Sub-Segmentation Of Application Specific Integrated Circuits, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Artificial Intelligence Training Application Specific Integrated Circuits, Artificial Intelligence Inference Application Specific Integrated Circuits, Neural Network Application Specific Integrated Circuits
  • 9.8. Global Data-Center Artificial Intelligence (AI) Chips Market, Sub-Segmentation Of Tensor Processing Units, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Cloud Tensor Processing Units, Training Tensor Processing Units, Inference Tensor Processing Units

10. Data-Center Artificial Intelligence (AI) Chips Market Regional And Country Analysis

  • 10.1. Global Data-Center Artificial Intelligence (AI) Chips Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Data-Center Artificial Intelligence (AI) Chips Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Data-Center Artificial Intelligence (AI) Chips Market

  • 11.1. Asia-Pacific Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Data-Center Artificial Intelligence (AI) Chips Market

  • 12.1. China Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Data-Center Artificial Intelligence (AI) Chips Market

  • 13.1. India Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Data-Center Artificial Intelligence (AI) Chips Market

  • 14.1. Japan Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Data-Center Artificial Intelligence (AI) Chips Market

  • 15.1. Australia Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Data-Center Artificial Intelligence (AI) Chips Market

  • 16.1. Indonesia Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Data-Center Artificial Intelligence (AI) Chips Market

  • 17.1. South Korea Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Data-Center Artificial Intelligence (AI) Chips Market

  • 18.1. Taiwan Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Data-Center Artificial Intelligence (AI) Chips Market

  • 19.1. South East Asia Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Data-Center Artificial Intelligence (AI) Chips Market

  • 20.1. Western Europe Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. Western Europe Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Data-Center Artificial Intelligence (AI) Chips Market

  • 21.1. UK Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Data-Center Artificial Intelligence (AI) Chips Market

  • 22.1. Germany Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Data-Center Artificial Intelligence (AI) Chips Market

  • 23.1. France Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Data-Center Artificial Intelligence (AI) Chips Market

  • 24.1. Italy Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Data-Center Artificial Intelligence (AI) Chips Market

  • 25.1. Spain Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Data-Center Artificial Intelligence (AI) Chips Market

  • 26.1. Eastern Europe Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Data-Center Artificial Intelligence (AI) Chips Market

  • 27.1. Russia Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Data-Center Artificial Intelligence (AI) Chips Market

  • 28.1. North America Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Data-Center Artificial Intelligence (AI) Chips Market

  • 29.1. USA Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Data-Center Artificial Intelligence (AI) Chips Market

  • 30.1. Canada Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Data-Center Artificial Intelligence (AI) Chips Market

  • 31.1. South America Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Data-Center Artificial Intelligence (AI) Chips Market

  • 32.1. Brazil Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Data-Center Artificial Intelligence (AI) Chips Market

  • 33.1. Middle East Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Data-Center Artificial Intelligence (AI) Chips Market

  • 34.1. Africa Data-Center Artificial Intelligence (AI) Chips Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Africa Data-Center Artificial Intelligence (AI) Chips Market, Segmentation By Chip Type, Segmentation By Memory Technology, Segmentation By Deployment Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Data-Center Artificial Intelligence (AI) Chips Market Regulatory and Investment Landscape

36. Data-Center Artificial Intelligence (AI) Chips Market Competitive Landscape And Company Profiles

  • 36.1. Data-Center Artificial Intelligence (AI) Chips Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Data-Center Artificial Intelligence (AI) Chips Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Data-Center Artificial Intelligence (AI) Chips Market Company Profiles
    • 36.3.1. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Broadcom Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. Advanced Micro Devices Inc Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis

37. Data-Center Artificial Intelligence (AI) Chips Market Other Major And Innovative Companies

  • 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 Ltd., Cambricon Technologies, Baidu Inc., Lightmatter Inc., Esperanto Technologies Inc.

38. Global Data-Center Artificial Intelligence (AI) Chips Market Competitive Benchmarking And Dashboard

39. Upcoming Startups in the Market

40. Key Mergers And Acquisitions In The Data-Center Artificial Intelligence (AI) Chips Market

41. Data-Center Artificial Intelligence (AI) Chips Market High Potential Countries, Segments and Strategies

  • 41.1 Data-Center Artificial Intelligence (AI) Chips Market In 2030 - Countries Offering Most New Opportunities
  • 41.2 Data-Center Artificial Intelligence (AI) Chips Market In 2030 - Segments Offering Most New Opportunities
  • 41.3 Data-Center Artificial Intelligence (AI) Chips Market In 2030 - Growth Strategies
    • 41.3.1 Market Trend Based Strategies
    • 41.3.2 Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer