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市场调查报告书
商品编码
1987574

2026年全球人工智慧（AI）资料中心图形处理器（GPU）市场报告

Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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个工作天内

价格
简介目录

近年来，用于人工智慧（AI）资料中心的图形处理器（GPU）市场规模呈现爆炸性成长。预计该市场规模将从2025年的111.2亿美元成长到2026年的137.5亿美元，复合年增长率（CAGR）高达23.6%。过去几年的成长主要归功于深度学习模型的普及、超大规模资料中心的扩张、对人工智慧加速的需求、云端服务供应商的投资以及GPU架构的创新。

未来几年，人工智慧 (AI) 资料中心图形处理器 (GPU) 的市场规模预计将呈指数级增长。到 2030 年，该市场规模预计将达到 323 亿美元，复合年增长率 (CAGR) 为 23.8%。预计在预测期内，生成式 AI 的扩展、自主 AI 基础设施的建设、能源效率需求、AI 模型扩展以及边缘和混合 AI 的采用将推动这一成长。预测期内的关键趋势包括用于 AI 训练的高效能 GPU、节能推理加速、可扩展的多 GPU 架构、水冷资料中心 GPU 以及 AI 工作负载的最佳化。

人工智慧 (AI) 的日益普及预计将推动 AI 资料中心图形处理器 (GPU) 市场的成长。随着生成式 AI 工具快速整合到企业工作流程和消费者应用程式中，AI 的普及率不断提高，运算需求也显着成长。 AI 资料中心 GPU 可加速复杂机器学习模型的训练和执行，从而实现更快速、更具可扩展性的 AI 跨产业部署。例如，根据美国科技公司微软预测，到 2026 年 1 月，全球生成式 AI 工具的普及率将达到全球人口的 16.3%，高于 2025 年上半年的 15.1%。这反映出，对于一项仍处于市场成熟早期阶段的技术而言，其普及速度已显着加快。因此，人工智慧的日益普及正在推动 AI 资料中心图形处理器 (GPU) 市场的成长。

人工智慧资料中心GPU市场的主要企业正在部署以GPU为中心的运算平台，例如下一代加速器架构，以提升高效能运算和人工智慧工作负载的效能、可扩展性和能源效率。这些以GPU为中心的运算平台将高效能图形处理器与优化的CPU、记忆体系统和高速互连整合在一起，从而加速大规模人工智慧训练、推理和资料密集型处理。例如，NVIDIA于2026年1月发布了Vera Rubin人工智慧运算平台，该平台将下一代GPU与先进的系统结构结合，显着提升了人工智慧和高效能运算的效能。该平台能够加快模型训练速度、提高吞吐量并降低资料中心的营运成本，反映了产业朝向基于GPU的先进运算解决方案发展的趋势，以满足日益增长的人工智慧需求。

目录

第一章：执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球人工智慧（AI）资料中心图形处理器（GPU）市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 工业4.0和智慧製造
    • 数位化、云端运算、巨量资料、网路安全
    • 电动交通和交通运输电气化
    • 永续性、气候技术、循环经济
  • 主要趋势
    • 用于人工智慧训练的高性能GPU
    • 节能型推理加速
    • 可扩展的多GPU架构
    • 用于资料中心的水冷式GPU
    • 优化人工智慧工作负载

第五章 终端用户产业市场分析

  • 云端服务供应商
  • 超大规模资料中心
  • 企业IT部门
  • 研究机构
  • 人工智慧平台提供商

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球人工智慧（AI）资料中心图形处理器（GPU）市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球人工智慧（AI）资料中心图形处理器（GPU）市场规模、对比及成长率分析
  • 全球人工智慧（AI）资料中心图形处理器（GPU）市场表现：规模与成长，2020-2025年
  • 全球人工智慧 (AI) 资料中心图形处理器 (GPU) 市场预测：规模与成长，2025-2030 年，2035 年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 依产品类型
  • 图形处理器、加速卡、图形处理器伺服器、运算加速模组、人工智慧加速晶片
  • 按功能
  • 训练，推理
  • 按部署模式
  • 本机部署、云端部署
  • 按最终用途行业划分
  • 资讯科技与通讯、医疗保健与生命科学、金融服务、零售与电子商务、汽车与运输、研究与学术研究
  • 按类型细分：图形处理单元
  • 训练最佳化型GPU、推理最佳化型GPU、高记忆体GPU、节能型GPU
  • 按类型细分：加速卡
  • 张量处理加速卡、神经网路加速卡、高效能运算 (HPC) 加速卡、资料中心最佳化加速卡
  • 按类型细分：图形处理单元 (GPU) 伺服器
  • 单节点GPU伺服器、多节点GPU伺服器、机架式GPU伺服器、高密度GPU伺服器
  • 按类型细分：计算加速器模组
  • 嵌入式运算加速模组、模组化运算加速模组、高频宽运算加速模组、可扩展运算加速模组
  • 按类型细分：人工智慧加速晶片
  • 机器学习加速晶片、深度学习加速晶片、推理加速晶片

第十章 区域与国别分析

  • 全球人工智慧 (AI) 资料中心图形处理器 (GPU) 市场：按地区划分，实际值和预测值，2020-2025 年、2025-2030 年预测值、2035 年预测值
  • 全球人工智慧 (AI) 资料中心图形处理器 (GPU) 市场：按国家/地区划分，实际值和预测值，2020-2025 年、2025-2030 年预测值、2035 年预测值

第十一章 亚太市场

第十二章：中国市场

第十三章：印度市场

第十四章：日本市场

第十五章：澳洲市场

第十六章：印尼市场

第十七章：韩国市场

第十八章 台湾市场

第十九章 东南亚市场

第20章 西欧市场

第21章英国市场

第22章：德国市场

第23章：法国市场

第24章：义大利市场

第25章：西班牙市场

第26章：东欧市场

第27章：俄罗斯市场

第28章 北美市场

第29章：美国市场

第三十章：加拿大市场

第31章：南美市场

第32章：巴西市场

第33章 中东市场

第34章：非洲市场

第三十五章 市场监理与投资环境

第36章：竞争格局与公司概况

  • 人工智慧（AI）资料中心图形处理器（GPU）市场：竞争格局与市场份额，2024年
  • 人工智慧（AI）资料中心图形处理器（GPU）市场：公司估值矩阵
  • 人工智慧（AI）资料中心图形处理器（GPU）市场：公司概况
    • Google LLC
    • Microsoft Corporation
    • Huawei Technologies Co. Ltd.
    • Tencent Holdings Limited
    • Broadcom Inc.

第37章 其他大型企业和创新企业

  • 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, Etched.ai Inc.

第38章：全球市场竞争基准分析与仪錶板

第39章：预计进入市场的Start-Ups

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年人工智慧（AI）资料中心图形处理器（GPU）市场：提供新机会的国家
  • 2030年人工智慧（AI）资料中心图形处理器（GPU）市场：提供新机会的细分市场
  • 2030 年人工智慧 (AI) 资料中心图形处理器 (GPU) 市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: EE4MAIAD29_G26Q1

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 primary 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 in on-premises environments or through 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.

Tariffs have created both challenges and opportunities for the AI data center GPU market by impacting the cost and availability of advanced semiconductors and accelerator components. Increased production and import costs have slowed procurement cycles for hyperscale and enterprise data centers, particularly in Asia-Pacific and Europe. Supply chain constraints have intensified pricing volatility. To mitigate these impacts, manufacturers are diversifying fabrication partners and investing in regional manufacturing. Buyers are optimizing GPU utilization and workload efficiency. These actions are strengthening supply resilience and long-term scalability.

The artificial intelligence (AI) data center graphics processing units (gpus) market size has grown exponentially in recent years. It will grow from $11.12 billion in 2025 to $13.75 billion in 2026 at a compound annual growth rate (CAGR) of 23.6%. The growth in the historic period can be attributed to growth of deep learning models, hyperscale data center expansion, demand for AI acceleration, cloud service provider investments, GPU architecture innovation.

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.

The expansion of artificial intelligence adoption is expected to support the growth of the artificial intelligence (AI) data center graphics processing units (GPUs) market going forward. Artificial intelligence adoption is increasing due to the rapid integration of generative artificial intelligence (AI) tools into enterprise workflows and consumer-facing applications, significantly raising 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. As an illustration, 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 contributing to the growth of the artificial intelligence (AI) data center graphics processing units (GPUs) market.

Leading companies in the artificial intelligence data center GPU market are introducing GPU-focused computing platforms such as next-generation accelerator architectures to improve performance, scalability, and energy efficiency for high-performance computing and AI workloads. GPU-focused computing platforms integrate high-performance graphics processors with optimized CPUs, memory systems, and high-speed interconnects to accelerate large-scale AI training, inference, and data-intensive processing. For example, in January 2026, NVIDIA launched the Vera Rubin AI computing platform, combining next-generation GPUs with advanced system architecture to significantly enhance AI and HPC performance. The platform supports faster model training, higher throughput, and reduced operational costs for data centers, reflecting industry trends toward advanced GPU-based computing solutions to meet growing AI demands.

In December 2025, Nvidia, a US-based company specializing in accelerated computing platforms, GPUs, and AI infrastructure, acquired Groq for approximately $20 billion. Through this acquisition, Nvidia sought to reinforce its technological strength and competitive position by incorporating Groq's high-speed AI inference technology and engineering expertise into its portfolio to expand leadership across both AI training and inference applications. Groq is a US-based semiconductor startup focused on developing high-performance AI accelerator chips and inference architectures designed for low-latency and high-throughput computing at scale.

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.

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 the artificial intelligence (ai) data center graphics processing units (gpus) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (ai) data center graphics processing units (gpus) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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.

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.

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 artificial intelligence (AI) data center graphics processing units (gpus) market statistics, including artificial intelligence (AI) data center graphics processing units (gpus) industry global market size, regional shares, competitors with a artificial intelligence (AI) data center graphics processing units (gpus) market share, detailed artificial intelligence (AI) data center graphics processing units (gpus) 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. This artificial intelligence (AI) data center graphics processing units (gpus) 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.

Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 artificial intelligence (ai) data center graphics processing units (gpus) 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.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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Where is the largest and fastest growing market for artificial intelligence (ai) data center graphics processing units (gpus) ? 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 artificial intelligence (ai) data center graphics processing units (gpus) 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 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
  • Companies Mentioned: 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.
  • 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. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Industry 4.0 & Intelligent Manufacturing
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Electric Mobility & Transportation Electrification
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 High-Performance Ai Training Gpus
    • 4.2.2 Energy-Efficient Inference Acceleration
    • 4.2.3 Scalable Multi-Gpu Architectures
    • 4.2.4 Liquid-Cooled Data Center Gpus
    • 4.2.5 Ai Workload Optimization

5. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Analysis Of End Use Industries

  • 5.1 Cloud Service Providers
  • 5.2 Hyperscale Data Centers
  • 5.3 Enterprise It Departments
  • 5.4 Research Institutions
  • 5.5 Ai Platform Providers

6. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

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

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

  • 9.1. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Graphics Processing Units, Accelerator Cards, Graphics Processing Unit Servers, Compute Accelerator Modules, Artificial Intelligence Accelerator Chips
  • 9.2. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Function, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Training, Inference
  • 9.3. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On Premises, Cloud Based
  • 9.4. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By End Use Industry, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Information Technology And Telecom, Healthcare And Life Sciences, Financial Services, Retail And E-Commerce, Automotive And Transportation, Research And Academia
  • 9.5. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Sub-Segmentation Of Graphics Processing Units, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Training Optimized Graphics Processing Units, Inference Optimized Graphics Processing Units, High Memory Capacity Graphics Processing Units, Energy Efficient Graphics Processing Units
  • 9.6. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Sub-Segmentation Of Accelerator Cards, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Tensor Processing Accelerator Cards, Neural Network Accelerator Cards, High Performance Computing Accelerator Cards, Data Center Optimized Accelerator Cards
  • 9.7. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Sub-Segmentation Of Graphics Processing Unit Servers, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Single Node Graphics Processing Unit Servers, Multi Node Graphics Processing Unit Servers, Rack Mounted Graphics Processing Unit Servers, High Density Graphics Processing Unit Servers
  • 9.8. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Sub-Segmentation Of Compute Accelerator Modules, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Embedded Compute Accelerator Modules, Modular Compute Accelerator Modules, High Bandwidth Compute Accelerator Modules, Scalable Compute Accelerator Modules
  • 9.9. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Sub-Segmentation Of Artificial Intelligence Accelerator Chips, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning Accelerator Chips, Deep Learning Accelerator Chips, Inference Focused Accelerator Chips

10. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Regional And Country Analysis

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

11. Asia-Pacific Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 11.1. Asia-Pacific Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 12.1. China Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 13.1. India Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 14.1. Japan Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 15.1. Australia Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 16.1. Indonesia Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 17.1. South Korea Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 18.1. Taiwan Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 19.1. South East Asia Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 20.1. Western Europe Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 21.1. UK Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 22.1. Germany Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 23.1. France Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 24.1. Italy Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 25.1. Spain Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 26.1. Eastern Europe Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 27.1. Russia Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 28.1. North America Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 29.1. USA Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 30.1. Canada Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 31.1. South America Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 32.1. Brazil Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 33.1. Middle East Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

  • 34.1. Africa Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market, Segmentation By Product Type, Segmentation By Function, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Regulatory and Investment Landscape

36. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Competitive Landscape And Company Profiles

  • 36.1. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Company Profiles
    • 36.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Tencent Holdings Limited Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Broadcom Inc. Overview, Products and Services, Strategy and Financial Analysis

37. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Other Major And Innovative Companies

  • 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, Etched.ai Inc.

38. Global Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market Competitive Benchmarking And Dashboard

39. Upcoming Startups in the Market

40. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market

41. Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market High Potential Countries, Segments and Strategies

  • 41.1 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market In 2030 - Countries Offering Most New Opportunities
  • 41.2 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) Market In 2030 - Segments Offering Most New Opportunities
  • 41.3 Artificial Intelligence (AI) Data Center Graphics Processing Units (GPUs) 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