2025 年全球人工智慧基礎設施市場報告

預計未來幾年人工智慧基礎設施的市場規模將呈指數級成長。到 2029 年，這一數字將成長至 2,238.5 億美元，複合年成長率為 31.9%。預測期內的成長可歸因於量子運算的進步、能源效率考量、可解釋的人工智慧標準的成長、客戶體驗的個人化以及人工智慧應用的快速成長。預測期內的關鍵趨勢包括跨行業人工智慧的快速應用、邊緣人工智慧的擴展、人工智慧專用硬體的開發、混合和多重雲端部署、人工智慧最佳化的儲存解決方案、人工智慧的安全和道德考慮，以及人工智慧與雲端供應商之間的合作。

資料流量的預期成長和對高運算能力的需求預計將在未來推動AI基礎設施市場的成長。資料流量是指在任何時刻透過電腦網路傳輸的資料量，而高運算能力是指系統快速處理資料和執行複雜運算的能力。高效能運算 (HPC) 基礎架構透過提供儲存、網路和資料處理功能來支援 AI 模型，以加速工作負載並使 AI計劃能夠大規模運作。這大大加速了學習階段，使得AI模型在最短的時間內更加準確可靠。例如，2022 年 6 月，瑞典網路和通訊公司愛立信報告稱，其行動網路的資料流量從 2021 年第四季到 2022 年第一季成長了 10%。與去年同期相比，成長了 40%。此外，根據美國資訊科技與通訊領域諮詢服務供應商國際資料公司（IDC） 2022 年 5 月的報告，亞太地區約 50% 的新興企業正在轉向高效能運算基礎設施，以應對生命科學領域的基因組資料挑戰，因為它具有強大的運算能力。因此，不斷成長的資料流量和對高運算能力的需求正在推動AI基礎設施市場的擴張。

預計雲端服務需求的不斷成長將推動人工智慧基礎設施市場的成長。雲端服務涵蓋透過網際網路提供的廣泛的按需運算資源和應用程式。在人工智慧基礎設施背景下，這些服務為開發、部署和管理人工智慧應用程式提供了一個靈活、可擴展的平台，使組織能夠創新和擴展。例如，2023年1月，美國資訊科技公司谷歌有限責任公司報告稱，2022年有76%的人使用公有雲端服務，較2021年大幅成長了56%。因此，對雲端服務的需求不斷成長預計將推動人工智慧基礎設施市場的成長。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第 4 章市場：宏觀經濟情景，包括利率、通膨、地緣政治、新冠疫情以及復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球人工智慧基礎設施PESTEL分析（政治、社會、技術、環境、法律因素、促進因素、限制因素）
• 最終用途產業分析
• 全球人工智慧基礎設施市場：成長率分析
• 全球人工智慧基礎設施市場表現：規模與成長，2019 年至 2024 年
• 全球人工智慧基礎設施市場預測：2024-2029 年及 2034 年規模與成長
• 全球人工智慧基礎設施總潛在市場 (TAM)

第6章 市場細分

• 全球 AI 基礎設施市場依部署類型分類：2019-2024 年、2024-2029 年、2034 年表現及預測
• 本地
• 雲
• 混合
• 全球人工智慧基礎設施市場：按類型、性能和預測，2019-2024 年、2024-2029 年、2034 年
• 硬體
• 伺服器軟體
• 全球人工智慧基礎設施市場：按功能、性能和預測，2019-2024 年、2024-2029 年、2034 年
• 訓練
• 推理
• 全球人工智慧基礎設施市場：按技術、性能和預測，2019-2024 年、2024-2029 年、2034 年
• 機器學習
• 深度學習
• 全球人工智慧基礎設施市場：按最終用戶、效能和預測，2019-2024 年、2024-2029 年、2034 年
• 企業
• 政府
• 雲端服務供應商
• 全球人工智慧基礎設施市場：硬體細分、類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
• GPU（圖形處理單元）
• TPU（張量處理單元）
• AI加速器
• 邊緣設備
• 資料中心基礎設施
• 全球人工智慧基礎設施市場：伺服器軟體細分、類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
• 人工智慧框架
• 機器學習平台
• 資料管理與整合軟體
• 模型開發工具
• 部署和監控工具

第7章 區域和國家分析

• 全球人工智慧基礎設施市場：按地區、表現和預測，2019-2024 年、2024-2029 年、2034 年
• 全球人工智慧基礎設施市場：按國家、表現和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第 17 章 德國市場

第 18 章 法國市場

第 19 章：義大利市場

第 20 章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第 25 章：加拿大市場

第26章 南美洲市場

第 27 章：巴西市場

第28章 中東市場

第 29 章：非洲市場

第 30 章競爭格局與公司概況

• 人工智慧基礎設施市場：競爭格局
• 人工智慧基礎設施市場：公司簡介
  • 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 其他大型創新企業

• 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 全球市場競爭基準化分析與儀表板

第33章 重大併購

第 34 章 近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

• 2029 年人工智慧基礎設施市場：提供新機會的國家
• 2029 年人工智慧基礎設施市場：細分市場將帶來新機會
• 2029 年人工智慧基礎設施市場：成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第 36 章 附錄

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