AIインフラの世界市場調査レポート：産業分析、規模、シェア、成長、動向、2025年～2033年の予測

AIインフラの世界市場規模は、2024年の568億5,000万米ドルから2033年には5,137億6,000万米ドルに成長し、2026年から2033年の予測期間中に27.71％の堅調な年間平均成長率（CAGR）を示すと予測されます。

AIインフラ市場は、さまざまな分野で人工知能がもたらす変革の可能性を企業がますます認識するようになるにつれ、飛躍的な成長を遂げることになるでしょう。企業がデータ分析、自動化、意思決定のためにAIの力を活用しようと努めているため、これらの技術をサポートする堅牢なインフラストラクチャの需要が急増しています。これには、高性能コンピューティングシステム、クラウドサービス、AIワークロードを最適化するために設計されたGPUやTPUなどの専用ハードウェアが含まれます。AIインフラの進化により、企業は膨大な量のデータをより効率的に処理できるようになり、より迅速な洞察と業務パフォーマンスの向上につながります。

さらに、既存のITフレームワークへのAIの統合により、スケーラブルで柔軟なインフラストラクチャ・ソリューションの必要性が高まっています。企業がハイブリッドクラウドやマルチクラウド戦略を採用するにつれ、AI機能を多様な環境にシームレスに統合する能力が極めて重要になっています。この動向は、相互運用性を促進し、AI導入の全体的な効率を高めるソリューションの開発をインフラプロバイダーに促しています。さらに、エッジコンピューティングの進歩により、より発生源に近い場所でのリアルタイムのデータ処理が可能になりつつあり、これは製造、ヘルスケア、輸送などの産業におけるアプリケーションに特に有益です。

さらに、AIインフラ市場は、倫理的なAIと責任あるデータ利用を重視する傾向の高まりから恩恵を受けると予想されます。企業がデータのプライバシーやアルゴリズムの偏りに関する監視の高まりに直面する中、透明性が高く説明責任を果たせるAIシステムへの需要が高まっています。このシフトは、AIモデルを監視・監査するためのツールなど、倫理的なAIの実践をサポートするインフラへの投資を促進しています。情勢が進化するにつれ、AIインフラ市場は、企業が責任を持ってAIを活用できるようにする一方で、ますますデータ主導の世界でイノベーションと競争優位を推進する上で、重要な役割を果たすことになるでしょう。

目次

第1章 序文

第2章 エグゼクティブサマリー

• 市場のハイライト
• 世界市場スナップショット

第3章 AIインフラ：産業分析

• イントロダクション- 市場力学
• 市場促進要因
• 市場抑制要因
• 市場機会
• 業界動向
• ファイブフォース分析
• 市場の魅力分析

第4章 バリューチェーン分析

• バリューチェーン分析
• 原材料分析
  • 原材料リスト
  • 原材料メーカーリスト
  • 主要原材料の価格動向
• 潜在的バイヤーリスト
• マーケティングチャネル
  • ダイレクトマーケティング
  • インダイレクトマーケティング
  • マーケティングチャネル発展動向

第5章 AIインフラの世界市場分析：オファリング別

• 概要：オファリング別
• オファリング別、実績および予測データ分析
• ハードウェア（プロセッサー、ストレージ、メモリー）
• ソフトウェア

第6章 AIインフラの世界市場分析：展開別

• 概要：展開別
• 展開別、実績および予測データ分析
• オンプレミス
• クラウド
• ハイブリッド

第7章 AIインフラの世界市場分析：テクノロジー別

• 概要：テクノロジー別
• テクノロジー別、実績および予測データ分析
• 機械学習
• ディープラーニング

第8章 AIインフラの世界市場分析：最終用途別

• 概要：最終用途別
• 最終用途別、実績および予測データ分析
• 企業
• 政府機関
• クラウドサービス事業者

第9章 AIインフラの世界市場分析：地域別

• 地域別展望
• イントロダクション
• 北米の売上分析
  • 概要、実績と予測
  • 北米：セグメント別
  • 北米：国別
  • 米国
  • カナダ
  • メキシコ
• 欧州の売上分析
  • 概要、実績と予測
  • 欧州：セグメント別
  • 欧州：国別
  • 英国
  • フランス
  • ドイツ
  • イタリア
  • ロシア
  • その他欧州
• アジア太平洋地域の売上分析
  • 概要、実績と予測
  • アジア太平洋地域：セグメント別
  • アジア太平洋地域：国別
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア
  • 東南アジア
  • その他アジア太平洋地域
• ラテンアメリカの売上分析
  • 概要、実績と予測
  • ラテンアメリカ：セグメント別
  • ラテンアメリカ：国別
  • ブラジル
  • アルゼンチン
  • ペルー
  • チリ
  • その他ラテンアメリカ
• 中東・アフリカの売上分析
  • 概要、実績と予測
  • 中東・アフリカ：セグメント別
  • 中東・アフリカ：国別
  • サウジアラビア
  • アラブ首長国連邦
  • イスラエル
  • 南アフリカ
  • その他中東とアフリカ

第10章 AIインフラ企業の競合情勢

• AIインフラ市場の競合
• 提携・協力・合意
• 合併・買収
• 新製品の発表
• その他の開発

第11章 企業プロファイル

• 上位企業の市場シェア分析
• 市場集中度
• Amazon Web Services
• Google
• Microsoft
• IBM
• Intel
• NVIDIA
• Dell
• Cisco
• Hewlett Packard Enterprise Development LP
• Samsung Electronics
• Micron Technology
• SK Hynix
• Advanced Micro Devices Inc.
• Xilinx
• Cadence Design Systems
• Toshiba

LIST OF TABLES

• Market Snapshot
• Drivers: Impact Analysis
• Restraints: Impact Analysis
• List of Raw Material
• List of Raw Material Manufactures
• Analysis By Offering (USD MN)
• Hardware (Processor, Storage, Memory) Market Sales By Geography (USD MN)
• Software Market Sales By Geography (USD MN)
• Analysis By Deployment (USD MN)
• On-Premises Market Sales By Geography (USD MN)
• Cloud Market Sales By Geography (USD MN)
• Hybrid Market Sales By Geography (USD MN)
• Analysis By Technology (USD MN)
• Machine Learning Market Sales By Geography (USD MN)
• Deep Learning Market Sales By Geography (USD MN)
• Analysis By End Use (USD MN)
• Enterprises Market Sales By Geography (USD MN)
• Government Organizations Market Sales By Geography (USD MN)
• Cloud Service Providers Market Sales By Geography (USD MN)
• Global AI Infrastructure Market Sales By Geography (USD MN)
• North America Market Analysis (USD MN)
• United States Market Analysis (USD MN)
• Canada Market Analysis (USD MN)
• Mexico Market Analysis (USD MN)
• Europe Market Analysis (USD MN)
• Europe Market Estimate By Country (USD MN)
• United Kingdom Market Analysis (USD MN)
• France Market Analysis (USD MN)
• Germany Market Analysis (USD MN)
• Italy Market Analysis (USD MN)
• Russia Market Analysis (USD MN)
• Spain Market Analysis (USD MN)
• Rest of Europe Market Analysis (USD MN)
• Asia Pacific Market Analysis (USD MN)
• China Market Analysis (USD MN)
• Japan Market Analysis (USD MN)
• India Market Analysis (USD MN)
• South Korea Market Analysis (USD MN)
• Australia Market Analysis (USD MN)
• South East Asia Market Analysis (USD MN)
• Rest of Asia Pacific Market Analysis (USD MN)
• Latin America Market Analysis (USD MN)
• Brazil Market Analysis (USD MN)
• Argentina Market Analysis (USD MN)
• Peru Market Analysis (USD MN)
• Chile Market Analysis (USD MN)
• Rest of Latin America Market Analysis (USD MN)
• Middle East & Africa Market Analysis (USD MN)
• Saudi Arabia Market Analysis (USD MN)
• UAE Market Analysis (USD MN)
• Israel Market Analysis (USD MN)
• South Africa Market Analysis (USD MN)
• Rest of Middle East and Africa Market Analysis (USD MN)
• Partnership/Collaboration/Agreement
• Mergers And Acquisition

LIST OF FIGURES

• Research Scope of AI Infrastructure Report
• Market Research Process
• Market Research Methodology
• Global AI Infrastructure Market Size, By Region (USD MN)
• Porters Five Forces Analysis
• Market Attractiveness Analysis By Offering
• Market Attractiveness Analysis By Deployment
• Market Attractiveness Analysis By Technology
• Market Attractiveness Analysis By End Use
• Market Attractiveness Analysis By Region
• Value Chain Analysis
• Global Market Analysis By Offering (USD MN)
• Hardware (Processor, Storage, Memory) Market Sales By Geography (USD MN)
• Software Market Sales By Geography (USD MN)
• Global Market Analysis By Deployment (USD MN)
• On-Premises Market Sales By Geography (USD MN)
• Cloud Market Sales By Geography (USD MN)
• Hybrid Market Sales By Geography (USD MN)
• Global Market Analysis By Technology (USD MN)
• Machine Learning Market Sales By Geography (USD MN)
• Deep Learning Market Sales By Geography (USD MN)
• Global Market Analysis By End Use (USD MN)
• Enterprises Market Sales By Geography (USD MN)
• Government Organizations Market Sales By Geography (USD MN)
• Cloud Service Providers Market Sales By Geography (USD MN)
• Global Market Sales (USD MN)
• North America Market Sales (USD MN)
• Europe Market Sales (USD MN)
• Asia Pacific Market Sales (USD MN)
• Latin America Market Sales (USD MN)
• Middle East & Africa Market Sales (USD MN)
• Recent Development in Industry
• Top Company Market Share Analysis

Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.

Global AI Infrastructure Market size is anticipated to grow from USD 56.85 Billion in 2024 to USD 513.76 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 27.71% during the forecast period of 2026 to 2033.

The AI infrastructure market is set to experience exponential growth as organizations increasingly recognize the transformative potential of artificial intelligence across various sectors. As businesses strive to harness the power of AI for data analysis, automation, and decision-making, the demand for robust infrastructure to support these technologies is surging. This includes high-performance computing systems, cloud services, and specialized hardware such as GPUs and TPUs designed to optimize AI workloads. The evolution of AI infrastructure will enable organizations to process vast amounts of data more efficiently, leading to faster insights and improved operational performance.

Furthermore, the integration of AI into existing IT frameworks is driving the need for scalable and flexible infrastructure solutions. As companies adopt hybrid and multi-cloud strategies, the ability to seamlessly integrate AI capabilities into diverse environments becomes crucial. This trend is prompting infrastructure providers to develop solutions that facilitate interoperability and enhance the overall efficiency of AI deployments. Additionally, advancements in edge computing are enabling real-time data processing closer to the source, which is particularly beneficial for applications in industries such as manufacturing, healthcare, and transportation.

Moreover, the AI infrastructure market is expected to benefit from the growing emphasis on ethical AI and responsible data usage. As organizations face increasing scrutiny regarding data privacy and algorithmic bias, the demand for transparent and accountable AI systems is rising. This shift is driving investments in infrastructure that supports ethical AI practices, including tools for monitoring and auditing AI models. As the landscape evolves, the AI infrastructure market will play a critical role in enabling organizations to leverage AI responsibly while driving innovation and competitive advantage in an increasingly data-driven world.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Offering

• Hardware (Processor, Storage, Memory)
• Software

By Deployment

• On-Premises
• Cloud
• Hybrid

By Technology

• Machine Learning
• Deep Learning

By End Use

• Enterprises
• Government Organizations
• Cloud Service Providers
• COMPANIES PROFILED
• Amazon Web Services
• Google
• Microsoft
• IBM
• Intel
• NVIDIA
• Dell
• Cisco
• Hewlett Packard Enterprise Development LP
• Samsung Electronics
• Micron Technology
• SK Hynix
• Advanced Micro Devices Inc.
• Xilinx
• Cadence Design Systems
• Toshiba.
• The above list can be customized.

TABLE OF CONTENTS

1. PREFACE

• 1.1. Report Description
  • 1.1.1 Objective
  • 1.1.2 Target Audience
  • 1.1.3 Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1 Market Research Process
  • 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3. AI INFRASTRUCTURE INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Poerter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Offering
  • 3.7.2 Market Attractiveness Analysis By Deployment
  • 3.7.3 Market Attractiveness Analysis By Technology
  • 3.7.4 Market Attractiveness Analysis By End Use
  • 3.7.5 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1 List of Raw Materials
  • 4.2.2 Raw Material Manufactures List
  • 4.2.3 Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1 Direct Marketing
  • 4.4.2 Indirect Marketing
  • 4.4.3 Marketing Channel Development Trend

5. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY OFFERING

• 5.1. Overview By Offering
• 5.2. Historical and Forecast Data Analysis By Offering
• 5.3. Hardware (Processor, Storage, Memory) Historic and Forecast Sales By Regions
• 5.4. Software Historic and Forecast Sales By Regions

6. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY DEPLOYMENT

• 6.1. Overview By Deployment
• 6.2. Historical and Forecast Data Analysis By Deployment
• 6.3. On-Premises Historic and Forecast Sales By Regions
• 6.4. Cloud Historic and Forecast Sales By Regions
• 6.5. Hybrid Historic and Forecast Sales By Regions

7. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY TECHNOLOGY

• 7.1. Overview By Technology
• 7.2. Historical and Forecast Data Analysis By Technology
• 7.3. Machine Learning Historic and Forecast Sales By Regions
• 7.4. Deep Learning Historic and Forecast Sales By Regions

8. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY END USE

• 8.1. Overview By End Use
• 8.2. Historical and Forecast Data Analysis By End Use
• 8.3. Enterprises Historic and Forecast Sales By Regions
• 8.4. Government Organizations Historic and Forecast Sales By Regions
• 8.5. Cloud Service Providers Historic and Forecast Sales By Regions

9. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY GEOGRAPHY

• 9.1. Regional Outlook
• 9.2. Introduction
• 9.3. North America Sales Analysis
  • 9.3.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.3.2 North America By Segment Sales Analysis
  • 9.3.3 North America By Country Sales Analysis
  • 9.3.4 United States Sales Analysis
  • 9.3.5 Canada Sales Analysis
  • 9.3.6 Mexico Sales Analysis
• 9.4. Europe Sales Analysis
  • 9.4.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.4.2 Europe By Segment Sales Analysis
  • 9.4.3 Europe By Country Sales Analysis
  • 9.4.4 United Kingdom Sales Analysis
  • 9.4.5 France Sales Analysis
  • 9.4.6 Germany Sales Analysis
  • 9.4.7 Italy Sales Analysis
  • 9.4.8 Russia Sales Analysis
  • 9.4.9 Rest Of Europe Sales Analysis
• 9.5. Asia Pacific Sales Analysis
  • 9.5.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.5.2 Asia Pacific By Segment Sales Analysis
  • 9.5.3 Asia Pacific By Country Sales Analysis
  • 9.5.4 China Sales Analysis
  • 9.5.5 India Sales Analysis
  • 9.5.6 Japan Sales Analysis
  • 9.5.7 South Korea Sales Analysis
  • 9.5.8 Australia Sales Analysis
  • 9.5.9 South East Asia Sales Analysis
  • 9.5.10 Rest Of Asia Pacific Sales Analysis
• 9.6. Latin America Sales Analysis
  • 9.6.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.6.2 Latin America By Segment Sales Analysis
  • 9.6.3 Latin America By Country Sales Analysis
  • 9.6.4 Brazil Sales Analysis
  • 9.6.5 Argentina Sales Analysis
  • 9.6.6 Peru Sales Analysis
  • 9.6.7 Chile Sales Analysis
  • 9.6.8 Rest of Latin America Sales Analysis
• 9.7. Middle East & Africa Sales Analysis
  • 9.7.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.7.2 Middle East & Africa By Segment Sales Analysis
  • 9.7.3 Middle East & Africa By Country Sales Analysis
  • 9.7.4 Saudi Arabia Sales Analysis
  • 9.7.5 UAE Sales Analysis
  • 9.7.6 Israel Sales Analysis
  • 9.7.7 South Africa Sales Analysis
  • 9.7.8 Rest Of Middle East And Africa Sales Analysis

10. COMPETITIVE LANDSCAPE OF THE AI INFRASTRUCTURE COMPANIES

• 10.1. AI Infrastructure Market Competition
• 10.2. Partnership/Collaboration/Agreement
• 10.3. Merger And Acquisitions
• 10.4. New Product Launch
• 10.5. Other Developments

11. COMPANY PROFILES OF AI INFRASTRUCTURE INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Market Concentration Rate
• 11.3. Amazon Web Services
  • 11.3.1 Company Overview
  • 11.3.2 Company Revenue
  • 11.3.3 Products
  • 11.3.4 Recent Developments
• 11.4. Google
  • 11.4.1 Company Overview
  • 11.4.2 Company Revenue
  • 11.4.3 Products
  • 11.4.4 Recent Developments
• 11.5. Microsoft
  • 11.5.1 Company Overview
  • 11.5.2 Company Revenue
  • 11.5.3 Products
  • 11.5.4 Recent Developments
• 11.6. IBM
  • 11.6.1 Company Overview
  • 11.6.2 Company Revenue
  • 11.6.3 Products
  • 11.6.4 Recent Developments
• 11.7. Intel
  • 11.7.1 Company Overview
  • 11.7.2 Company Revenue
  • 11.7.3 Products
  • 11.7.4 Recent Developments
• 11.8. NVIDIA
  • 11.8.1 Company Overview
  • 11.8.2 Company Revenue
  • 11.8.3 Products
  • 11.8.4 Recent Developments
• 11.9. Dell
  • 11.9.1 Company Overview
  • 11.9.2 Company Revenue
  • 11.9.3 Products
  • 11.9.4 Recent Developments
• 11.10. Cisco
  • 11.10.1 Company Overview
  • 11.10.2 Company Revenue
  • 11.10.3 Products
  • 11.10.4 Recent Developments
• 11.11. Hewlett Packard Enterprise Development LP
  • 11.11.1 Company Overview
  • 11.11.2 Company Revenue
  • 11.11.3 Products
  • 11.11.4 Recent Developments
• 11.12. Samsung Electronics
  • 11.12.1 Company Overview
  • 11.12.2 Company Revenue
  • 11.12.3 Products
  • 11.12.4 Recent Developments
• 11.13. Micron Technology
  • 11.13.1 Company Overview
  • 11.13.2 Company Revenue
  • 11.13.3 Products
  • 11.13.4 Recent Developments
• 11.14. SK Hynix
  • 11.14.1 Company Overview
  • 11.14.2 Company Revenue
  • 11.14.3 Products
  • 11.14.4 Recent Developments
• 11.15. Advanced Micro Devices Inc.
  • 11.15.1 Company Overview
  • 11.15.2 Company Revenue
  • 11.15.3 Products
  • 11.15.4 Recent Developments
• 11.16. Xilinx
  • 11.16.1 Company Overview
  • 11.16.2 Company Revenue
  • 11.16.3 Products
  • 11.16.4 Recent Developments
• 11.17. Cadence Design Systems
  • 11.17.1 Company Overview
  • 11.17.2 Company Revenue
  • 11.17.3 Products
  • 11.17.4 Recent Developments
• 11.18. Toshiba
  • 11.18.1 Company Overview
  • 11.18.2 Company Revenue
  • 11.18.3 Products
  • 11.18.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies