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市场调查报告书
商品编码
1658752

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 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年人工智慧基础设施的市场规模将呈指数级增长。到 2029 年，这一数字将成长至 2,238.5 亿美元，复合年增长率为 31.9%。预测期内的成长可归因于量子运算的进步、能源效率考量、可解释的人工智慧标准的成长、客户体验的个人化以及人工智慧应用的快速成长。预测期内的关键趋势包括跨行业人工智慧的快速应用、边缘人工智慧的扩展、人工智慧专用硬体的开发、混合和多重云端部署、人工智慧优化的储存解决方案、人工智慧的安全和道德考虑，以及人工智慧与云端供应商之间的合作。

资料流量的预期成长和对高运算能力的需求预计将在未来推动AI基础设施市场的成长。资料流量是指在任何时刻透过电脑网路传输的资料量，而高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) 基础架构透过提供储存、网路和资料处理功能来支援 AI 模型，以加速工作负载并使 AI计划能够大规模运作。这大大加速了学习阶段，使得AI模型在最短的时间内更加准确可靠。例如，2022 年 6 月，瑞典网路和通讯公司爱立信报告称，其行动网路的资料流量从 2021 年第四季到 2022 年第一季成长了 10%。与去年同期相比，成长了 40%。此外，根据美国资讯科技与通讯领域咨询服务供应商国际资料公司（IDC） 2022 年 5 月的报告，亚太地区约 50% 的新兴企业正在转向高效能运算基础设施，以应对生命科学领域的基因组资料挑战，因为它具有强大的运算能力。因此，不断增长的资料流量和对高运算能力的需求正在推动AI基础设施市场的扩张。

预计云端服务需求的不断增长将推动人工智慧基础设施市场的成长。云端服务涵盖透过互联网提供的广泛的按需运算资源和应用程式。在人工智慧基础设施背景下，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、可扩展的平台，使组织能够创新和扩展。例如，2023年1月，美国资讯科技公司谷歌有限责任公司报告称，2022年有76%的人使用公有云服务，较2021年大幅成长了56%。因此，对云端服务的需求不断增长预计将推动人工智慧基础设施市场的成长。

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 4 章市场：宏观经济情景，包括利率、通膨、地缘政治、新冠疫情以及復苏对市场的影响

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、限制因素）
  • 最终用途产业分析
  • 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 年至 2024 年
  • 全球人工智慧基础设施市场预测：2024-2029 年及 2034 年规模与成长
  • 全球人工智慧基础设施总潜在市场 (TAM)

第六章 市场细分

  • 全球 AI 基础设施市场依部署类型划分：2019-2024 年、2024-2029 年、2034 年表现及预测
  • 本地
  • 云
  • 杂交种
  • 全球人工智慧基础设施市场：按类型、性能和预测，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：按功能、性能和预测，2019-2024 年、2024-2029 年、2034 年
  • 训练
  • 推理
  • 全球人工智慧基础设施市场：按技术、性能和预测，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、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 企业
  • 政府
  • 云端服务供应商
  • 全球人工智慧基础设施市场：硬体细分、类型、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • GPU（图形处理单元）
  • TPU（张量处理单元）
  • AI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：伺服器软体细分、类型、效能和预测，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、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧基础设施市场：按国家、表现和预测，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 17 章 德国市场

第 18 章 法国市场

第 19 章：义大利市场

第 20 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 30 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：公司简介
    • 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 其他大型创新企业

  • 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表板

第33章 重大併购

第 34 章 近期市场趋势

第 35 章 高市场潜力国家、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：细分市场将带来新机会
  • 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
    • 竞争对手的策略

第 36 章 附录

简介目录
Product Code: r22336

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.

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 $74.06 billion in 2025 at a compound annual growth rate (CAGR) of 30.0%. 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 $223.85 billion in 2029 at a compound annual growth rate (CAGR) of 31.9%. 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 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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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.
  • 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 And Covid And Recovery On The Market

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