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市场调查报告书
商品编码
1840410

2025年全球人工智慧基础设施市场报告

AI Infrastructure Global Market Report 2025
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，人工智慧基础设施市场发展迅速，从2024年的569.8亿美元成长到2025年的718.8亿美元，复合年增长率达26.2%。这一成长主要受以下因素驱动：资料产生量的增加、深度学习技术的进步、对即时处理的需求、监管合规要求以及对资料隐私和安全的担忧。

预计未来几年人工智慧基础设施市场将呈指数级增长，到2029年将达到1817亿美元，复合年增长率（CAGR）为26.1%。预测期内的成长可归因于量子运算的进步、能源效率的提升、可解释人工智慧标准的普及、客户体验个人化以及人工智慧应用的快速发展。预测期内的关键趋势包括：人工智慧在各行业的快速普及、边缘人工智慧的扩展、人工智慧专用硬体的开发、混合云端和多重云端部署、人工智慧优化的储存解决方案、人工智慧安全和伦理方面的考量，以及人工智慧与云端服务供应商之间的合作。

人工智慧基础设施由旨在促进诸如从各种系统收集数据、准备数据以进行分析、预测结果、自动化管理任务以及优化软体定义基础设施技术等任务的IT基础设施组成。该基础设施对于存取和管理运算资源至关重要，这些计算资源支援在机器学习工作流程中测试、训练和配置人工智慧演算法。

人工智慧基础设施的主要组成部分是硬体和伺服器软体。硬体包括电脑及相关设备的实体组件。人工智慧基础设施的功能包括训练和推理，这对于机器学习和深度学习过程至关重要。部署类型包括本地部署、云端基础和混合解决方案。包括企业、政府机构和云端服务供应商在内的各类最终用户都利用人工智慧基础设施来增强其资料处理和分析能力。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

这份人工智慧基础设施市场研究报告是商业研究公司最新发布的系列报告之一，提供人工智慧基础设施市场统计数据，例如全球市场规模、区域份额、竞争对手及其市场份额、详细的市场细分、市场趋势以及人工智慧基础设施行业的商机。这份人工智慧基础设施市场研究报告对该行业的现状和未来发展趋势进行了深入分析，为您提供所需的一切全面资讯。

我们预测未来五年该市场将成长26.1%，较先前预测略微下调0.6%。这一下调主要归因于美国与其他国家之间的关税影响。关税可能直接影响美国，推高依赖从台湾和荷兰进口先进半导体的资料中心人工智慧加速器的成本，并减缓云端运算的扩张。此外，由于相互关税措施以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响，关税的影响范围将更加广泛。

预计数据流量的成长和对高效能运算能力的需求将推动人工智慧基础设施市场的发展。资料流量是指在任何给定时刻透过电脑网路传输的资料量，而高效能运算能力是指系统快速处理资料和执行复杂运算的能力。高效能运算 (HPC) 基础设施透过提供储存、网路和资料处理能力来支援人工智慧模型，使人工智慧计划能够透过高速处理工作负载而大规模运作。这显着加快了训练阶段，并在最短时间内提高了人工智慧模型的准确性和可靠性。例如，总部位于瑞典的网路和通讯公司爱立信在 2022 年 6 月报告称，2021 年第四季至 2022 年第一季，行动网路数据流量增长了 10%，与去年同期相比增长了 40%。此外，根据总部位于美国的资讯科技和通讯咨询服务供应商国际数据公司（IDC）2022年5月发布的报告，亚太地区约50%的新兴企业正转向高效能运算基础设施，以应对生命科学领域基因组数据方面的挑战，因为其拥有强大的运算能力。因此，数据流量的成长和对高效能运算能力的需求正在推动人工智慧基础设施市场的扩张。

预计对云端服务日益增长的需求将推动人工智慧基础设施市场的成长。云端服务涵盖了透过互联网交付的各种按需运算资源和应用程式。在人工智慧基础设施领域，这些服务为开发、部署和管理人工智慧应用程式提供了一个灵活且可扩展的平台，使企业能够进行创新和扩展。例如，美国资讯科技公司Google（Google LLC）在2023年1月报告称，2022年将有76%的人使用公有云服务，较2021年大幅成长56%。因此，对云端服务日益增长的需求预计将推动人工智慧基础设施市场的成长。

人工智慧基础设施市场包括营业单位透过处理器、储存/记忆体和软体获得的收入。市场价值还包括服务供应商销售的或包含在其服务产品中的相关商品的价值。仅包括实体之间交易或出售给最终消费者的商品和服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 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，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧基础设施：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球人工智慧基础设施市场：成长率分析
  • 全球人工智慧基础设施市场表现：规模与成长，2019-2024年
  • 全球人工智慧基础设施市场预测：规模与成长，2024-2029年，2034年
  • 全球人工智慧基础设施：潜在市场规模（TAM）

第六章 市场细分

  • 全球人工智慧基础设施市场按部署类型划分：效能和预测，2019-2024年、2024-2029年、2034年
  • 本地部署
  • 云
  • 杂交种
  • 全球人工智慧基础设施市场：依产品、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 硬体
  • 伺服器软体
  • 全球人工智慧基础设施市场：依功能、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 训练
  • 推理
  • 全球人工智慧基础设施市场：依技术、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 机器学习
  • 深度学习
  • 全球人工智慧基础设施市场（按最终用户划分）：效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 公司
  • 政府机构
  • 云端服务供应商
  • 全球人工智慧基础设施市场：按硬体（类型）、效能和预测细分，2019-2024年、2024-2029年、2034年
  • GPU（图形处理单元）
  • TPU（张量处理单元）
  • 人工智慧加速器
  • 边缘设备
  • 资料中心基础设施
  • 全球人工智慧基础设施市场：按伺服器软体类型、效能和预测细分，2019-2024年、2024-2029年、2034年
  • 人工智慧框架
  • 机器学习平台
  • 资料管理与整合软体
  • 模型开发工具
  • 部署和监控工具

第七章 区域和国家分析

  • 全球人工智慧基础设施市场：按地区、性能和预测划分，2019-2024年、2024-2029年、2034年
  • 全球人工智慧基础设施市场：按国家、性能和预测划分，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧基础设施市场：竞争格局
  • 人工智慧基础设施市场：公司概况
    • Nvidia Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Samsung Group Overview, Products and Services, Strategy and Financial Analysis
    • Micron Technology Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Advanced Micro Devices Inc.
  • International Business Machines Corporation
  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services Inc.
  • SK Hynix Inc.
  • Cisco Systems Inc.
  • Arm Limited
  • Xilinx Inc.
  • Dell Inc.
  • Synopsys Inc.
  • Hewlett Packard Enterprise Company
  • Cadence Design Systems Inc.
  • Toshiba Corporation
  • SenseTime Group Limited

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧基础设施市场：提供新机会的国家
  • 2029年人工智慧基础设施市场：新兴细分市场机会
  • 2029年人工智慧基础设施市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r22336u

AI infrastructure comprises IT infrastructure designed to collect data from various systems, preparing it for analysis and facilitating tasks such as outcome prediction, administrative task automation, and optimization of software-defined infrastructure technologies. This infrastructure is crucial for accessing and managing computing resources, enabling the testing, training, and deployment of AI algorithms in machine learning workflows.

The main components of AI infrastructure include hardware and server software. Hardware encompasses the physical components of computers and related devices. The functions of AI infrastructure involve training and inference, both integral to the machine learning and deep learning processes. Deployment types include on-premises, cloud-based, and hybrid solutions. Various end-users, such as enterprises, government organizations, and cloud service providers, leverage AI infrastructure to enhance their data processing and analysis capabilities.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The AI infrastructure market research report is one of a series of new reports from The Business Research Company that provides AI infrastructure market statistics, including AI infrastructure industry global market size, regional shares, competitors with an AI infrastructure market share, detailed AI infrastructure market segments, market trends and opportunities, and any further data you may need to thrive in the AI infrastructure industry. This AI infrastructure market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The ai infrastructure market size has grown exponentially in recent years. It will grow from $56.98 billion in 2024 to $71.88 billion in 2025 at a compound annual growth rate (CAGR) of 26.2%. The growth in the historic period can be attributed to increased data generation, advancements in deep learning, demand for real-time processing, regulatory compliance requirements, data privacy and security concerns.

The ai infrastructure market size is expected to see exponential growth in the next few years. It will grow to $181.7 billion in 2029 at a compound annual growth rate (CAGR) of 26.1%. The growth in the forecast period can be attributed to quantum computing advances, energy efficiency considerations, growth of explainable AI standards, personalization in customer experience, rapid growth in AI applications. Major trends in the forecast period include rapid growth in AI adoption across industries, expansion of edge AI, development of AI-specific hardware, hybrid and multi-cloud deployments, AI-optimized storage solutions, AI security and ethical considerations, collaboration between AI and cloud providers.

The forecast of 26.1% growth over the next five years reflects a modest reduction of 0.6% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by increasing costs for data center AI accelerators, dependent on advanced semiconductor imports from Taiwan and the Netherlands, delaying cloud computing expansions. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The anticipated increase in data traffic and the demand for high computing power are expected to drive the growth of the AI infrastructure market in the future. Data traffic refers to the volume of data transmitted across a computer network at any given moment, while high computing power indicates the capability of systems to process data and execute complex calculations rapidly. High-performance computing (HPC) infrastructure supports AI models by providing storage, networking, and data processing capabilities, enabling AI projects to operate at scale by processing workloads quickly. This significantly accelerates the training phase and enhances the accuracy and reliability of AI models in minimal time. For instance, in June 2022, Ericsson, a Sweden-based networking and telecommunications company, reported a 10% increase in mobile network data traffic from the fourth quarter of 2021 to the first quarter of 2022. Year-over-year, this growth reached 40%. Additionally, a May 2022 report from the International Data Corporation (IDC), a US-based advisory services provider in information technology and telecommunications, indicated that around 50% of startups in the Asia-Pacific region focus on high-performance computing infrastructure to tackle genomic data challenges in life sciences due to its robust computing capabilities. Thus, the growing data traffic and demand for high computing power are driving the expansion of the AI infrastructure market.

The growing demand for cloud services is anticipated to propel the growth of the AI infrastructure market. Cloud services encompass a wide array of on-demand computing resources and applications that are delivered via the internet. In the context of AI infrastructure, these services provide a flexible and scalable platform for developing, deploying, and managing AI applications, enabling organizations to innovate and expand. For example, in January 2023, Google LLC, a US-based information technology company, reported that 76% of people utilized public cloud services in 2022, marking a significant increase of 56% from 2021. Consequently, the rising demand for cloud services is expected to drive the growth of the AI infrastructure market.

Major companies in the AI infrastructure market are emphasizing advancements in technologies such as the Artificial Intelligence of Things (IoT) to boost operational efficiency, enhance data analytics capabilities, and facilitate the seamless integration of AI-driven solutions across various industries. The Artificial Intelligence of Things (IoT) involves the convergence of artificial intelligence with Internet of Things devices, enabling smarter, data-driven decision-making and automation. For instance, in August 2024, Golioth, a US-based technology company, launched an AI-ready IoT infrastructure. This platform fosters a cohesive environment where AI and IoT can collaborate effectively, empowering developers to create smarter and more responsive systems.

Prominent entities within the AI infrastructure sphere are strategically forging partnerships to bolster their operational capacities. These collaborations involve the symbiotic utilization of each other's strengths and resources, aimed at securing mutual advantages and achieving collective success. A recent illustration of this trend occurred in October 2023 when VAST Data, a US-based technology company specializing in flash memory data storage, joined forces with Lambda, an expert in AI-optimized cloud solutions. The alliance seeks to fortify VAST Data's position in AI infrastructure by introducing an innovative hybrid cloud solution tailored specifically for AI and deep learning operations. This concerted effort positions VAST Data as the premier choice for specialized AI service providers, enhancing its leadership in AI infrastructure.

In July 2022, International Business Machines Corporation (IBM), a prominent player in information technology and AI infrastructure, made an undisclosed acquisition of Databand.ai. This strategic move is envisioned to augment IBM's product portfolio across data, AI, and automation domains, aiming to comprehensively address observability needs and facilitate organizations in ensuring secure and reliable data transactions. By integrating Databand.ai, an Israel-based AI infrastructure company, IBM aims to gain a competitive edge and reinforce its foothold in the market by offering enhanced and trustworthy AI-driven solutions.

Major companies operating in the AI infrastructure market are Nvidia Corporation, Intel Corporation, Oracle Corporation, Samsung Group, Micron Technology Inc., Advanced Micro Devices Inc., International Business Machines Corporation, Google LLC, Microsoft Corporation, Amazon Web Services Inc., SK Hynix Inc., Cisco Systems Inc., Arm Limited, Xilinx Inc., Dell Inc., Synopsys Inc., Hewlett Packard Enterprise Company, Cadence Design Systems Inc., Toshiba Corporation, SenseTime Group Limited, Imagination Technologies Limited, Graphcore Limited, Habana Labs Limited, Meta Platforms Inc., Nutanix Inc., Pure Storage Inc., Wave Computing Inc., Tenstorrent Inc., Gyrfalcon Technology Inc., Cambricon Technologies Corporation Limited

North America was the largest region in the AI infrastructure market in 2024. Asia-Pacific is expected to be the fastest-growing region in the AI infrastructure market report forecast period. The regions covered in the ai infrastructure market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai infrastructure market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI infrastructure market includes revenues earned by entities by processor, storage memory, and software. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

AI Infrastructure Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai infrastructure 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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Where is the largest and fastest growing market for ai infrastructure ? 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 ai infrastructure 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, competitive landscape, market shares, 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.
  • 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 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.

  • 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.
  • 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Offerings: Hardware; Server Software
  • 2) By Function: Training; Inference
  • 3) By Technology: Machine Learning; Deep Learning
  • 4) By Deployment Type: On-Premises; Cloud; Hybrid
  • 5) By End User: Enterprises; Government Organizations; Cloud Service Providers
  • Subsegments:
  • 1) By Hardware: GPUs (Graphics Processing Units); TPUs (Tensor Processing Units); AI Accelerators; Edge Devices; Data Center Infrastructure
  • 2) By Server Software: AI Frameworks; Machine Learning Platforms; Data Management And Integration Software; Model Development Tools; Deployment And Monitoring Tools
  • Companies Mentioned: Nvidia Corporation; Intel Corporation; Oracle Corporation; Samsung Group; Micron Technology Inc.; Advanced Micro Devices Inc.; International Business Machines Corporation; Google LLC; Microsoft Corporation; Amazon Web Services Inc.; SK Hynix Inc.; Cisco Systems Inc.; Arm Limited; Xilinx Inc.; Dell Inc.; Synopsys Inc.; Hewlett Packard Enterprise Company; Cadence Design Systems Inc.; Toshiba Corporation; SenseTime Group Limited; Imagination Technologies Limited; Graphcore Limited; Habana Labs Limited; Meta Platforms Inc.; Nutanix Inc.; Pure Storage Inc.; Wave Computing Inc.; Tenstorrent Inc.; Gyrfalcon Technology Inc.; Cambricon Technologies Corporation Limited
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; 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.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI Infrastructure Market Characteristics

3. AI Infrastructure Market Trends And Strategies

4. AI Infrastructure Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI Infrastructure Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI Infrastructure PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI Infrastructure Market Growth Rate Analysis
  • 5.4. Global AI Infrastructure Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI Infrastructure Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI Infrastructure Total Addressable Market (TAM)

6. AI Infrastructure Market Segmentation

  • 6.1. Global AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • Hybrid
  • 6.2. Global AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Server Software
  • 6.3. Global AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Training
  • Inference
  • 6.4. Global AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Deep Learning
  • 6.5. Global AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Enterprises
  • Government Organizations
  • Cloud Service Providers
  • 6.6. Global AI Infrastructure Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • GPUs (Graphics Processing Units)
  • TPUs (Tensor Processing Units)
  • AI Accelerators
  • Edge Devices
  • Data Center Infrastructure
  • 6.7. Global AI Infrastructure Market, Sub-Segmentation Of Server Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Frameworks
  • Machine Learning Platforms
  • Data Management And Integration Software
  • Model Development Tools
  • Deployment And Monitoring Tools

7. AI Infrastructure Market Regional And Country Analysis

  • 7.1. Global AI Infrastructure Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI Infrastructure Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI Infrastructure Market

  • 8.1. Asia-Pacific AI Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI Infrastructure Market

  • 9.1. China AI Infrastructure Market Overview
  • 9.2. China AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI Infrastructure Market

  • 10.1. India AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI Infrastructure Market

  • 11.1. Japan AI Infrastructure Market Overview
  • 11.2. Japan AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI Infrastructure Market

  • 12.1. Australia AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI Infrastructure Market

  • 13.1. Indonesia AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI Infrastructure Market

  • 14.1. South Korea AI Infrastructure Market Overview
  • 14.2. South Korea AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI Infrastructure Market

  • 15.1. Western Europe AI Infrastructure Market Overview
  • 15.2. Western Europe AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI Infrastructure Market

  • 16.1. UK AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI Infrastructure Market

  • 17.1. Germany AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI Infrastructure Market

  • 18.1. France AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI Infrastructure Market

  • 19.1. Italy AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI Infrastructure Market

  • 20.1. Spain AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI Infrastructure Market

  • 21.1. Eastern Europe AI Infrastructure Market Overview
  • 21.2. Eastern Europe AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI Infrastructure Market

  • 22.1. Russia AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI Infrastructure Market

  • 23.1. North America AI Infrastructure Market Overview
  • 23.2. North America AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI Infrastructure Market

  • 24.1. USA AI Infrastructure Market Overview
  • 24.2. USA AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI Infrastructure Market

  • 25.1. Canada AI Infrastructure Market Overview
  • 25.2. Canada AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI Infrastructure Market

  • 26.1. South America AI Infrastructure Market Overview
  • 26.2. South America AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI Infrastructure Market

  • 27.1. Brazil AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI Infrastructure Market

  • 28.1. Middle East AI Infrastructure Market Overview
  • 28.2. Middle East AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI Infrastructure Market

  • 29.1. Africa AI Infrastructure Market Overview
  • 29.2. Africa AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI Infrastructure Market Competitive Landscape And Company Profiles

  • 30.1. AI Infrastructure Market Competitive Landscape
  • 30.2. AI Infrastructure Market Company Profiles
    • 30.2.1. Nvidia Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Samsung Group Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Micron Technology Inc. Overview, Products and Services, Strategy and Financial Analysis

31. AI Infrastructure Market Other Major And Innovative Companies

  • 31.1. Advanced Micro Devices Inc.
  • 31.2. International Business Machines Corporation
  • 31.3. Google LLC
  • 31.4. Microsoft Corporation
  • 31.5. Amazon Web Services Inc.
  • 31.6. SK Hynix Inc.
  • 31.7. Cisco Systems Inc.
  • 31.8. Arm Limited
  • 31.9. Xilinx Inc.
  • 31.10. Dell Inc.
  • 31.11. Synopsys Inc.
  • 31.12. Hewlett Packard Enterprise Company
  • 31.13. Cadence Design Systems Inc.
  • 31.14. Toshiba Corporation
  • 31.15. SenseTime Group Limited

32. Global AI Infrastructure Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI Infrastructure Market

34. Recent Developments In The AI Infrastructure Market

35. AI Infrastructure Market High Potential Countries, Segments and Strategies

  • 35.1 AI Infrastructure Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI Infrastructure Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI Infrastructure Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer