查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1840410

2025年全球人工智慧基礎設施市場報告

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個工作天內

價格
簡介目錄

近年來，人工智慧基礎設施市場發展迅速，從2024年的569.8億美元成長到2025年的718.8億美元，複合年成長率達26.2%。這一成長主要受以下因素驅動：資料產生量的增加、深度學習技術的進步、對即時處理的需求、監管合規要求以及對資料隱私和安全的擔憂。

預計未來幾年人工智慧基礎設施市場將呈指數級成長，到2029年將達到1817億美元，複合年成長率（CAGR）為26.1%。預測期內的成長可歸因於量子運算的進步、能源效率的提升、可解釋人工智慧標準的普及、客戶體驗個人化以及人工智慧應用的快速發展。預測期內的關鍵趨勢包括：人工智慧在各行業的快速普及、邊緣人工智慧的擴展、人工智慧專用硬體的開發、混合雲端和多重雲端部署、人工智慧最佳化的儲存解決方案、人工智慧安全和倫理方面的考量，以及人工智慧與雲端服務供應商之間的合作。

人工智慧基礎設施由旨在促進諸如從各種系統收集數據、準備數據以進行分析、預測結果、自動化管理任務以及最佳化軟體定義基礎設施技術等任務的IT基礎設施組成。該基礎設施對於存取和管理運算資源至關重要，這些計算資源支援在機器學習工作流程中測試、訓練和配置人工智慧演算法。

人工智慧基礎設施的主要組成部分是硬體和伺服器軟體。硬體包括電腦及相關設備的實體組件。人工智慧基礎設施的功能包括訓練和推理，這對於機器學習和深度學習過程至關重要。部署類型包括本地部署、雲端基礎和混合解決方案。包括企業、政府機構和雲端服務供應商在內的各類最終用戶都利用人工智慧基礎設施來增強其資料處理和分析能力。

美國在2025年春季突然提高關稅及其引發的貿易摩擦，對資訊科技產業，特別是硬體製造、資料基礎設施和軟體部署領域，產生了重大影響。進口半導體、電路基板和網路設備的關稅上漲，推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司，面臨更長的前置作業時間和價格壓力。同時，對專用軟體徵收的關稅以及主要國際市場的報復性措施，擾亂了全球IT供應鏈，並降低了海外對美國製造技術的需求。為了應對這些挑戰，該產業正在加大對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化技術來增強韌性，更有效地控制成本。

這份人工智慧基礎設施市場研究報告是商業研究公司最新發布的系列報告之一，提供人工智慧基礎設施市場統計數據，例如全球市場規模、區域佔有率、競爭對手及其市場佔有率、詳細的市場細分、市場趨勢以及人工智慧基礎設施行業的商機。這份人工智慧基礎設施市場研究報告對該行業的現狀和未來發展趨勢進行了深入分析，為您提供所需的一切全面資訊。

我們預測未來五年該市場將成長26.1%，較先前預測略微下調0.6%。這一下調主要歸因於美國與其他國家之間的關稅影響。關稅可能直接影響美國，推高依賴從台灣和荷蘭進口先進半導體的資料中心人工智慧加速器的成本，並減緩雲端運算的擴張。此外，由於相互關稅措施以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，關稅的影響範圍將更加廣泛。

預計數據流量的成長和對高效能運算能力的需求將推動人工智慧基礎設施市場的發展。資料流量是指在任何給定時刻透過電腦網路傳輸的資料量，而高效能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) 基礎設施透過提供儲存、網路和資料處理能力來支援人工智慧模型，使人工智慧計劃能夠透過高速處理工作負載而大規模運作。這顯著加快了訓練階段，並在最短時間內提高了人工智慧模型的準確性和可靠性。例如，總部位於瑞典的網路和通訊公司愛立信在 2022 年 6 月報告稱，2021 年第四季至 2022 年第一季，行動網路數據流量成長了 10%，與去年同期相比成長了 40%。此外，根據總部位於美國的資訊科技和通訊諮詢服務供應商國際數據公司（IDC）2022年5月發布的報告，亞太地區約50%的新興企業正轉向高效能運算基礎設施，以應對生命科學領域基因組數據方面的挑戰，因為其擁有強大的運算能力。因此，數據流量的成長和對高效能運算能力的需求正在推動人工智慧基礎設施市場的擴張。

預計對雲端服務日益成長的需求將推動人工智慧基礎設施市場的成長。雲端服務涵蓋了透過網際網路交付的各種按需運算資源和應用程式。在人工智慧基礎設施領域，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且可擴展的平台，使企業能夠進行創新和擴展。例如，美國資訊科技公司Google（Google LLC）在2023年1月報告稱，2022年將有76%的人使用公有雲端服務，較2021年大幅成長56%。因此，對雲端服務日益成長的需求預計將推動人工智慧基礎設施市場的成長。

人工智慧基礎設施市場包括營業單位透過處理器、儲存/記憶體和軟體獲得的收入。市場價值還包括服務供應商銷售的或包含在其服務產品中的相關商品的價值。僅包括實體之間交易或出售給最終消費者的商品和服務。

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、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

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、促進因素和限制因素）
  • 終端用戶產業分析
  • 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，2019-2024年
  • 全球人工智慧基礎設施市場預測：規模與成長，2024-2029年，2034年
  • 全球人工智慧基礎設施：潛在市場規模（TAM）

第6章 市場細分

  • 全球人工智慧基礎設施市場按部署類型分類：效能和預測，2019-2024年、2024-2029年、2034年
  • 本地部署
  • 雲
  • 混合
  • 全球人工智慧基礎設施市場：依產品、效能和預測分類，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：依功能、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 訓練
  • 推理
  • 全球人工智慧基礎設施市場：依技術、效能和預測分類，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（按最終用戶分類）：效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 公司
  • 政府機構
  • 雲端服務供應商
  • 全球人工智慧基礎設施市場：按硬體（類型）、效能和預測細分，2019-2024年、2024-2029年、2034年
  • GPU（圖形處理單元）
  • TPU（張量處理單元）
  • 人工智慧加速器
  • 邊緣設備
  • 資料中心基礎設施
  • 全球人工智慧基礎設施市場：按伺服器軟體類型、效能和預測細分，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、性能和預測分類，2019-2024年、2024-2029年、2034年
  • 全球人工智慧基礎設施市場：按國家、性能和預測分類，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：公司概況
    • 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：其他領先和創新企業

  • 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錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、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：新興細分市場機會
  • 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
    • 競爭對手策略

第36章附錄

簡介目錄
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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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