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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、2024年～2032年の予測

Global AI Infrastructure Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日
ページ情報
英文 231 Pages
納期
即日から翌営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
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、2024年～2032年の予測
出版日: 2024年09月01日
発行: Value Market Research
ページ情報: 英文 231 Pages
納期: 即日から翌営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

AIインフラ市場の世界需要は、調査期間2024-2032年のCAGR28.75%で、2023年の580億5,000万米ドルから2032年にはほぼ5,643億米ドルの市場規模に達すると推定されます。

AIインフラとは、AIアルゴリズムを安定かつスケーラブルで信頼性の高い方法で本番稼動させるために必要な技術スタックを指します。様々なコンポーネント間の関係を自ら学習し、データパターンとコンテキストを認識し、それに応じて反応し機能することができるシステムを指します。AIインフラには、ネットワーク、ハードウェア、ソフトウェアなど複数の要素が含まれます。これにより、データエンジニア、ソフトウェアエンジニア、データサイエンティスト、DevOpsチームがコンピューティングリソースにアクセスして対処し、AIアルゴリズムをテスト、トレーニング、デプロイできるようになります。

市場力学

世界のAIインフラ市場は、予測期間中に2桁成長すると予測されます。クラウド機械学習プラットフォームの採用増加、データトラフィックの増大と高コンピューティングの必要性、大規模で複雑なデータセットの増加、異業種コラボレーションの増加が、AIインフラ市場を舵取りする主な要因です。最近のAIは、その比類ない効率性と高い生産性により、ITと切っても切れない関係になっています。世界のAIインフラ市場は、AI機能が急速に進化し、実験から実装に至るまでインフラが不可欠であることから、指数関数的に成長すると推定されます。しかし、AIは複雑なシステムです。AIシステムの開発、管理、実装には、専門家と熟練した労働力が必要です。AIの専門家と熟練した労働力の不足は、市場の成長を妨げる可能性が高いです。

調査レポートは、ポーターのファイブフォースモデル、市場の魅力分析、バリューチェーン分析を取り上げています。これらのツールは、業界の構造を明確に把握し、世界レベルでの競合の魅力を評価するのに役立ちます。さらに、これらのツールはAIインフラの世界市場における各セグメントを包括的に評価することもできます。AIインフラ産業の成長と動向は、この調査に全体的なアプローチを提供します。

カスタム要件がある場合は、お問い合わせください。当社の調査チームは、お客様のニーズに応じてカスタマイズしたレポートを提供することができます。

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
  • ポーターの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 世界のAIインフラ市場分析：エンドユーザー別

  • 概要
  • 実績および予測データ分析
  • 個人企業
  • クラウド・ソリューション・プロバイダー
  • 政府系企業

第6章 世界のAIインフラ市場分析：コンポーネント別

  • 概要
  • 実績および予測データ分析
  • ハードウェア
  • ソフトウェア

第7章 世界のAIインフラ市場分析：展開モード別

  • 概要
  • 実績および予測データ分析
  • オンプレミス
  • クラウド

第8章 世界のAIインフラ市場分析：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9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10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
  • Micron Technology
  • Advanced Micro Devices
  • Samsung Electronics
  • Amazon Web Services
  • CISCO System
  • NVIDIA Corporation
  • Google LLC
  • Microsoft Corporation
  • IBM Corporation
  • Intel Corporation
  • Xilinx
図表

LIST OF TABLES

  • Market Snapshot
  • Drivers: Impact Analysis
  • Restraints: Impact Analysis
  • List of Raw Material
  • List of Raw Material Manufactures
  • Analysis By End-User (Units and USD MN)
  • Private Enterprises Market Sales By Geography (Units and USD MN)
  • Cloud Solution Providers Market Sales By Geography (Units and USD MN)
  • Government Firms Market Sales By Geography (Units and USD MN)
  • Analysis By Component (Units and USD MN)
  • Hardware Market Sales By Geography (Units and USD MN)
  • Software Market Sales By Geography (Units and USD MN)
  • Analysis By Deployment Mode (Units and USD MN)
  • On-Premise Market Sales By Geography (Units and USD MN)
  • Cloud Market Sales By Geography (Units and USD MN)
  • Global AI Infrastructure Market Sales By Geography (Units and USD MN)
  • North America Market Analysis (Units and USD MN)
  • United States Market Analysis (Units and USD MN)
  • Canada Market Analysis (Units and USD MN)
  • Mexico Market Analysis (Units and USD MN)
  • Europe Market Analysis (Units and USD MN)
  • Europe Market Estimate By Country (Units and USD MN)
  • United Kingdom Market Analysis (Units and USD MN)
  • France Market Analysis (Units and USD MN)
  • Germany Market Analysis (Units and USD MN)
  • Italy Market Analysis (Units and USD MN)
  • Russia Market Analysis (Units and USD MN)
  • Spain Market Analysis (Units and USD MN)
  • Rest of Europe Market Analysis (Units and USD MN)
  • Asia Pacific Market Analysis (Units and USD MN)
  • China Market Analysis (Units and USD MN)
  • Japan Market Analysis (Units and USD MN)
  • India Market Analysis (Units and USD MN)
  • South Korea Market Analysis (Units and USD MN)
  • Australia Market Analysis (Units and USD MN)
  • South East Asia Market Analysis (Units and USD MN)
  • Rest of Asia Pacific Market Analysis (Units and USD MN)
  • Latin America Market Analysis (Units and USD MN)
  • Brazil Market Analysis (Units and USD MN)
  • Argentina Market Analysis (Units and USD MN)
  • Peru Market Analysis (Units and USD MN)
  • Chile Market Analysis (Units and USD MN)
  • Rest of Latin America Market Analysis (Units and USD MN)
  • Middle East & Africa Market Analysis (Units and USD MN)
  • Saudi Arabia Market Analysis (Units and USD MN)
  • UAE Market Analysis (Units and USD MN)
  • Israel Market Analysis (Units and USD MN)
  • South Africa Market Analysis (Units and USD MN)
  • Rest of Middle East and Africa Market Analysis (Units and 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 (Units and USD MN)
  • Porters Five Forces Analysis
  • Market Attractiveness Analysis By End-User
  • Market Attractiveness Analysis By Component
  • Market Attractiveness Analysis By Deployment Mode
  • Market Attractiveness Analysis By Region
  • Value Chain Analysis
  • Global Market Analysis By End-User (Units and USD MN)
  • Private Enterprises Market Sales By Geography (Units and USD MN)
  • Cloud Solution Providers Market Sales By Geography (Units and USD MN)
  • Government Firms Market Sales By Geography (Units and USD MN)
  • Global Market Analysis By Component (Units and USD MN)
  • Hardware Market Sales By Geography (Units and USD MN)
  • Software Market Sales By Geography (Units and USD MN)
  • Global Market Analysis By Deployment Mode (Units and USD MN)
  • On-Premise Market Sales By Geography (Units and USD MN)
  • Cloud Market Sales By Geography (Units and USD MN)
  • Global Market Sales (Units and USD MN)
  • North America Market Sales (Units and USD MN)
  • Europe Market Sales (Units and USD MN)
  • Asia Pacific Market Sales (Units and USD MN)
  • Latin America Market Sales (Units and USD MN)
  • Middle East & Africa Market Sales (Units and 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.

目次
Product Code: VMR11215655

The global demand for AI Infrastructure Market is presumed to reach the market size of nearly USD 564.3 Billion by 2032 from USD 58.05 Billion in 2023 with a CAGR of 28.75% under the study period 2024-2032.

AI infrastructure refers to a technology stack necessary to get AI algorithms into production in a stable, scalable, and reliable way. It denotes a system that can learn by itself the relationships between the various components, recognize data patterns and the context, and react and function accordingly. AI infrastructure includes multiple elements like the network, the hardware, the software, etc. It enables data engineers, software engineers, data scientists, and DevOps teams to access and cope with computing resources to test, train, and deploy AI algorithms.

MARKET DYNAMICS

The global AI infrastructure market is projected to grow at a double-digit rate during the forecast period. Increasing adoption of cloud machine learning platforms, growing data traffic and need for high computing, rising large and complex dataset, and a growing number of cross-industry collaborations are the key factors steering the AI infrastructure market. AI in recent times has become an inextricable part of IT due to its unparalleled efficiency and highly productive results. The global AI infrastructure market is estimated to grow exponentially as AI capabilities rapidly evolve, and infrastructure is vital to scale from experimentation to implementation. However, AI is a complex system. It requires experts and a skilled workforce for developing, managing, and implementing AI systems. Lack of AI experts and a skilled workforce is likely to hinder the market growth.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of AI Infrastructure. The growth and trends of AI Infrastructure industry provide a holistic approach to this study.

Market Segmentation

This section of the AI Infrastructure market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By End-User

  • Private Enterprises
  • Cloud Solution Providers
  • Government Firms

By Component

  • Hardware
  • Software

By Deployment Mode

  • On-Premise
  • Cloud

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Global AI Infrastructure Market Report market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI Infrastructure market include Micron Technology, Advanced Micro Devices, Samsung Electronics, Amazon Web Services, CISCO System, NVIDIA Corporation, Google LLC, Microsoft Corporation, IBM Corporation, Intel Corporation, Xilinx. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

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. Porter's Five Force Analysis
  • 3.7. Market Attractiveness Analysis
    • 3.7.1 Market Attractiveness Analysis By End-User
    • 3.7.2 Market Attractiveness Analysis By Component
    • 3.7.3 Market Attractiveness Analysis By Deployment Mode
    • 3.7.4 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 END-USER

  • 5.1. Overview By End-User
  • 5.2. Historical and Forecast Data Analysis By End-User
  • 5.3. Private Enterprises Historic and Forecast Sales By Regions
  • 5.4. Cloud Solution Providers Historic and Forecast Sales By Regions
  • 5.5. Government Firms Historic and Forecast Sales By Regions

6. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY COMPONENT

  • 6.1. Overview By Component
  • 6.2. Historical and Forecast Data Analysis By Component
  • 6.3. Hardware Historic and Forecast Sales By Regions
  • 6.4. Software Historic and Forecast Sales By Regions

7. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY DEPLOYMENT MODE

  • 7.1. Overview By Deployment Mode
  • 7.2. Historical and Forecast Data Analysis By Deployment Mode
  • 7.3. On-Premise Historic and Forecast Sales By Regions
  • 7.4. Cloud Historic and Forecast Sales By Regions

8. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY GEOGRAPHY

  • 8.1. Regional Outlook
  • 8.2. Introduction
  • 8.3. North America Sales Analysis
    • 8.3.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.3.2 North America By Segment Sales Analysis
    • 8.3.3 North America By Country Sales Analysis
    • 8.3.4 United States Sales Analysis
    • 8.3.5 Canada Sales Analysis
    • 8.3.6 Mexico Sales Analysis
  • 8.4. Europe Sales Analysis
    • 8.4.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.4.2 Europe By Segment Sales Analysis
    • 8.4.3 Europe By Country Sales Analysis
    • 8.4.4 United Kingdom Sales Analysis
    • 8.4.5 France Sales Analysis
    • 8.4.6 Germany Sales Analysis
    • 8.4.7 Italy Sales Analysis
    • 8.4.8 Russia Sales Analysis
    • 8.4.9 Rest Of Europe Sales Analysis
  • 8.5. Asia Pacific Sales Analysis
    • 8.5.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.5.2 Asia Pacific By Segment Sales Analysis
    • 8.5.3 Asia Pacific By Country Sales Analysis
    • 8.5.4 China Sales Analysis
    • 8.5.5 India Sales Analysis
    • 8.5.6 Japan Sales Analysis
    • 8.5.7 South Korea Sales Analysis
    • 8.5.8 Australia Sales Analysis
    • 8.5.9 South East Asia Sales Analysis
    • 8.5.10 Rest Of Asia Pacific Sales Analysis
  • 8.6. Latin America Sales Analysis
    • 8.6.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.6.2 Latin America By Segment Sales Analysis
    • 8.6.3 Latin America By Country Sales Analysis
    • 8.6.4 Brazil Sales Analysis
    • 8.6.5 Argentina Sales Analysis
    • 8.6.6 Peru Sales Analysis
    • 8.6.7 Chile Sales Analysis
    • 8.6.8 Rest of Latin America Sales Analysis
  • 8.7. Middle East & Africa Sales Analysis
    • 8.7.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.7.2 Middle East & Africa By Segment Sales Analysis
    • 8.7.3 Middle East & Africa By Country Sales Analysis
    • 8.7.4 Saudi Arabia Sales Analysis
    • 8.7.5 UAE Sales Analysis
    • 8.7.6 Israel Sales Analysis
    • 8.7.7 South Africa Sales Analysis
    • 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE AI INFRASTRUCTURE COMPANIES

  • 9.1. AI Infrastructure Market Competition
  • 9.2. Partnership/Collaboration/Agreement
  • 9.3. Merger And Acquisitions
  • 9.4. New Product Launch
  • 9.5. Other Developments

10. COMPANY PROFILES OF AI INFRASTRUCTURE INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Market Concentration Rate
  • 10.3. Micron Technology
    • 10.3.1 Company Overview
    • 10.3.2 Company Revenue
    • 10.3.3 Products
    • 10.3.4 Recent Developments
  • 10.4. Advanced Micro Devices
    • 10.4.1 Company Overview
    • 10.4.2 Company Revenue
    • 10.4.3 Products
    • 10.4.4 Recent Developments
  • 10.5. Samsung Electronics
    • 10.5.1 Company Overview
    • 10.5.2 Company Revenue
    • 10.5.3 Products
    • 10.5.4 Recent Developments
  • 10.6. Amazon Web Services
    • 10.6.1 Company Overview
    • 10.6.2 Company Revenue
    • 10.6.3 Products
    • 10.6.4 Recent Developments
  • 10.7. CISCO System
    • 10.7.1 Company Overview
    • 10.7.2 Company Revenue
    • 10.7.3 Products
    • 10.7.4 Recent Developments
  • 10.8. NVIDIA Corporation
    • 10.8.1 Company Overview
    • 10.8.2 Company Revenue
    • 10.8.3 Products
    • 10.8.4 Recent Developments
  • 10.9. Google LLC
    • 10.9.1 Company Overview
    • 10.9.2 Company Revenue
    • 10.9.3 Products
    • 10.9.4 Recent Developments
  • 10.10. Microsoft Corporation
    • 10.10.1 Company Overview
    • 10.10.2 Company Revenue
    • 10.10.3 Products
    • 10.10.4 Recent Developments
  • 10.11. IBM Corporation
    • 10.11.1 Company Overview
    • 10.11.2 Company Revenue
    • 10.11.3 Products
    • 10.11.4 Recent Developments
  • 10.12. Intel Corporation
    • 10.12.1 Company Overview
    • 10.12.2 Company Revenue
    • 10.12.3 Products
    • 10.12.4 Recent Developments
  • 10.13. Xilinx
    • 10.13.1 Company Overview
    • 10.13.2 Company Revenue
    • 10.13.3 Products
    • 10.13.4 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