AIインフラの世界市場レポート 2025年

AIインフラの市場規模は、今後数年で飛躍的な成長が見込まれます。2029年には、CAGR31.9％で2,238億5,000万米ドルに成長します。予測期間の成長は、量子コンピューティングの進歩、エネルギー効率の考慮、説明可能なAI標準の成長、顧客体験のパーソナライゼーション、AIアプリケーションの急成長に起因すると考えられます。予測期間の主な動向としては、産業界全体におけるAI導入の急拡大、エッジAIの拡大、AI専用ハードウェアの開発、ハイブリッドおよびマルチクラウドの展開、AIに最適化されたストレージソリューション、AIのセキュリティと倫理的配慮、AIとクラウドプロバイダーの連携などが挙げられます。

予想されるデータトラフィックの増加と高いコンピューティング能力への需要が、今後のAIインフラ市場の成長を牽引するとみられます。データトラフィックとは、任意の瞬間にコンピュータネットワークを経由して送信されるデータ量を意味し、高い演算能力とは、データを処理し、複雑な計算を迅速に実行するシステムの能力を示します。ハイパフォーマンス・コンピューティング（HPC）インフラは、ストレージ、ネットワーキング、データ処理機能を提供することでAIモデルをサポートし、ワークロードを高速処理することでAIプロジェクトを大規模に運用できるようにします。これにより、学習段階が大幅に加速され、最小限の時間でAIモデルの精度と信頼性が向上します。例えば、2022年6月、スウェーデンを拠点とするネットワーキング・通信企業のエリクソンは、2021年第4四半期から2022年第1四半期にかけて、モバイルネットワークのデータトラフィックが10％増加したと報告しました。前年同期比では40％増に達しました。さらに、米国を拠点とする情報技術・通信分野のアドバイザリー・サービス・プロバイダーであるインターナショナル・データ・コーポレーション（IDC）の2022年5月の報告書によると、アジア太平洋地域の新興企業の約50％が、その堅牢なコンピューティング能力により、ライフサイエンス分野のゲノムデータの課題に取り組むためにハイパフォーマンス・コンピューティング・インフラに注目しています。このように、データトラフィックの増大と高い計算能力への需要が、AIインフラ市場の拡大を後押ししています。

クラウドサービスに対する需要の高まりは、AIインフラ市場の成長を促進すると予測されています。クラウドサービスは、インターネットを介して提供されるオンデマンドのコンピューティングリソースやアプリケーションを幅広く網羅しています。AIインフラの文脈では、これらのサービスはAIアプリケーションの開発、展開、管理のための柔軟でスケーラブルなプラットフォームを提供し、組織の革新と拡大を可能にします。例えば、2023年1月、米国の情報技術企業であるGoogle LLCは、2022年に76%の人々が公開クラウドサービスを利用し、2021年から56%の大幅な増加を記録したと報告しました。その結果、クラウドサービスに対する需要の高まりが、AIインフラ市場の成長を促進すると予想されます。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場：金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界のAIインフラPESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界のAIインフラ市場：成長率分析
• 世界のAIインフラ市場の実績：規模と成長, 2019-2024
• 世界のAIインフラ市場の予測：規模と成長, 2024-2029, 2034F
• 世界のAIインフラ総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のAIインフラ市場：展開タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• オンプレミス
• クラウド
• ハイブリッド
• 世界のAIインフラ市場：提供別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ハードウェア
• サーバーソフトウェア
• 世界のAIインフラ市場：機能別、実績と予測, 2019-2024, 2024-2029F, 2034F
• トレーニング
• 推論
• 世界のAIインフラ市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 機械学習
• ディープラーニング
• 世界のAIインフラ市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 企業
• 政府機関
• クラウドサービスプロバイダー
• 世界のAIインフラ市場：ハードウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• GPU（グラフィックスプロセッシングユニット）
• TPU（テンソルプロセッシングユニット）
• AIアクセラレータ
• エッジデバイス
• データセンターインフラストラクチャ
• 世界のAIインフラ市場：サーバーソフトウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• AIフレームワーク
• 機械学習プラットフォーム
• データ管理および統合ソフトウェア
• モデル開発ツール
• 導入および監視ツール

第7章 地域別・国別分析

• 世界のAIインフラ市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のAIインフラ市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• AIインフラ市場：競合情勢
• AIインフラ市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• AIインフラ市場2029：新たな機会を提供する国
• AIインフラ市場2029：新たな機会を提供するセグメント
• AIインフラ市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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