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市場調査レポート
商品コード
1225033

AIインフラ市場:コンポーネント別、デプロイメントモード別、技術別、エンドユーザー別(企業、政府、クラウドサービスプロバイダー)、用途別:世界機会分析および産業予測、2021年~2031年

AI Infrastructure Market By Component, By Deployment Mode, By Technology, By End-Users (Enterprises, Governments, Cloud Service Providers ), By Application : Global Opportunity Analysis and Industry Forecast, 2021-2031

出版日: | 発行: Allied Market Research | ページ情報: 英文 | 納期: 2~3営業日

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=156.76円
AIインフラ市場:コンポーネント別、デプロイメントモード別、技術別、エンドユーザー別(企業、政府、クラウドサービスプロバイダー)、用途別:世界機会分析および産業予測、2021年~2031年
出版日: 2022年12月01日
発行: Allied Market Research
ページ情報: 英文
納期: 2~3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

AIインフラは、機械学習ワークフローのほぼすべての段階を包含しています。

データサイエンティスト、データエンジニア、ソフトウェアエンジニア、DevOpsチームが、AIアルゴリズムをテスト、トレーニング、デプロイするためのコンピューティングリソースにアクセスし、管理できるようにします。企業データの世界は、AIインフラによって合理化され、十分に最適化されるようになります。さらに、データベースとメッセージキューイングシステムを介して実行される機械学習アルゴリズムをトレーニングし、データ配信フローを提供するためには、適切なAIインフラが必要です。

さらに、AIインフラは、最初から最後まで機械学習プロセス全体を可能にする鍵です。適切なAIインフラがあれば、データサイエンティスト、オペレーター、プログラマーはデータにアクセスし、機械学習アルゴリズムを展開し、ハードウェアのコンピューティングリソースを管理することができます。これは、特定のワークフローを可能にし、その後、ワークフローをステップに分割する重要なツールです。さらに、技術的なルネサンスは、人工知能によってもたらされます。データ戦略は、AIインフラによって高度化することができます。データの操作と管理は双方向に機能します。人工知能はデータ戦略をはるかに複雑化・緻密化することができ、より洗練されたデータ戦略は人工知能の全体的な質を向上させることができます。このような有利な点は、予測期間中の市場成長に有利な機会を提供します。

一方、人工知能ベースの技術は、自動運転車から推薦システムに至るまで様々な用途に広がっており、多くのライフスタイルの選択に影響を及ぼしています。このような用途は、AIインフラ市場の成長を後押ししています。

さらに、AIインフラはモビリティ情報と洞察を急速に強化し、重要なデータの収集と理解をよりアクセスしやすく、より速く、より安く、より安全にすることで交通計画を変化させます。都市、交通機関、交通局、その他の事業体は、課題の解決、投資の優先順位付け、利害関係者の支持を得るために、ますますAIインフラを利用するようになっており、したがって、今後数年間の市場成長のための有利な機会を提供しています。さらに、民間、公共部門は、デジタル化の需要の急増により、AIインフラを採用しています。この要因は、同市場に有利な成長機会をもたらします。

このような現代のビジネス企業や人々の日常のライフスタイルにおける人工知能の成熟度の上昇などの要因は、世界市場の将来のための重要な成長の機会をシグナリングされています。また、世界中のデジタルとインターネット普及の急増は、市場の成長にプラスの影響を及ぼしています。しかし、訓練を受けたAI専門家の不足とAIベースの技術の高い実装コストが市場の成長を阻害しています。一方、政府の取り組みや自動化の動向の増加は、予測期間中にAIインフラ産業の拡大のための有益な機会を提供すると期待されています。

目次

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 市場の概要

  • 市場の定義と範囲
  • 主な調査結果
    • 主な投資ポケット
  • ポーターのファイブフォース分析
  • 市場力学
    • 促進要因
      • 産業界とAI・MLソリューションのコラボレーションの高まり。
      • 顧客満足度の向上と信頼性の高いクラウドアプリケーションの採用が増加。
      • 人工知能(AI)ベースのシステムに対する投資の増加。
    • 抑制要因
      • 熟練した専門家の不足。
      • イノベーションにかかる高いコストと予算の制約
    • 機会
      • 企業におけるAIソフトウェアおよびハードウェアの需要の高まり。
  • COVID-19 影響分析

第4章 AIインフラ市場:コンポーネント別

  • 概要
    • 市場規模・予測
  • ハードウェア
    • 主な市場動向・成長要因・機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • ソフトウェア
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • サービス
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別

第5章 AIインフラ市場:デプロイメントモード別

  • 概要
    • 市場規模・予測
  • オンプレミス
    • 主な市場動向・成長要因・機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • クラウド
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • ハイブリッド
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別

第6章 AIインフラ市場:技術別

  • 概要
    • 市場規模・予測
  • 機械学習
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • ディープラーニング
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別

第7章 AIインフラ市場: エンドユーザー別

  • 概要
    • 市場規模・予測
  • 企業向け
    • 主な市場動向、成長要因と機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • 政府機関
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • クラウドサービスプロバイダー(CSP)
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別

第8章 AIインフラ市場:用途別

  • 概要
    • 市場規模・予測
  • AIトレーニング
    • 主な市場動向・成長要因・機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • インファレンシング
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別
  • その他
    • 主な市場動向、成長要因、機会
    • 市場規模・予測:地域別
    • 市場シェア分析:国別

第9章 AIインフラ市場:地域別

  • 概要
    • 市場規模・予測
  • 北米
    • 主な動向と機会
    • 北米の市場規模・予測:コンポーネント別
    • 北米の市場規模・予測:デプロイメントモード別
    • 北米市場の規模・予測:技術別
    • 北米市場の市場規模・予測:エンドユーザー別
    • 北米市場の市場規模・予測:用途別
    • 北米市場規模・予測:国別
      • 米国
      • 主な市場動向・成長要因・機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:テクノロジー別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • カナダ
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
  • 欧州
    • 主要動向と機会
    • 欧州市場規模・予測:コンポーネント別
    • 欧州市場規模・予測:デプロイメントモード別
    • 欧州市場規模・予測:技術別
    • 欧州市場規模・予測:エンドユーザー別
    • 欧州市場規模・予測:用途別
    • 欧州市場規模・予測:国別
      • 英国
      • 主な市場動向、成長要因、機会
      • 英国市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • ドイツ
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • フランス
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • イタリア
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • スペイン
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • その他の欧州地域
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
  • アジア太平洋地域
    • 主な動向と機会
    • アジア太平洋地域の市場規模・予測:コンポーネント別
    • アジア太平洋地域の市場規模・予測:デプロイメントモード別
    • アジア太平洋地域の市場規模・予測:技術別
    • アジア太平洋地域の市場規模・予測:エンドユーザー別
    • アジア太平洋地域の市場規模・予測:用途別
    • アジア太平洋地域の市場規模・予測:国別
      • 中国
      • 主な市場動向、成長要因、機会
      • アジア太平洋地域の市場規模・予測:コンポーネント別
      • アジア太平洋地域の市場規模・予測:デプロイメントモード別
      • 市場規模・予測:テクノロジー別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • 日本
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:テクノロジー別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • インド
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:テクノロジー別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • オーストラリア
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:テクノロジー別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • 韓国
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:テクノロジー別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • その他アジア太平洋地域
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:テクノロジー別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
  • LAMEA
    • 主な動向と機会
    • LAMEAの市場規模・予測:コンポーネント別
    • LAMEAの市場規模・予測:デプロイメントモード別
    • LAMEAの市場規模・予測:技術別
    • LAMEAの市場規模・予測:エンドユーザー別
    • LAMEAの市場規模・予測:用途別
    • LAMEAの市場規模・予測:国別
      • ラテンアメリカ
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • 中東市場
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別
      • アフリカ
      • 主な市場動向、成長要因、機会
      • 市場規模・予測:コンポーネント別
      • 市場規模・予測:デプロイメントモード別
      • 市場規模・予測:技術別
      • 市場規模・予測:エンドユーザー別
      • 市場規模・予測:用途別

第10章 競合情勢

  • イントロダクション
  • 主要成功戦略
  • 主要10社の製品マッピング
  • 競合ダッシュボード
  • 競合のヒートマップ
  • トップ企業のポジショニング、2021年

第11章 企業プロファイル

  • NVIDIA Corporation
  • Microsoft Corporation
  • Alphabet Inc.
  • Intel Corporation
  • Toshiba Corporation
  • Micron Technology, Inc.
  • Amazon.com, Inc.
  • Oracle Corporation
  • Samsung Electronics Co., Ltd.
  • IBM Corporation
図表

LIST OF TABLES

  • TABLE 1. GLOBAL AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 2. AI INFRASTRUCTURE MARKET FOR HARDWARE, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 3. AI INFRASTRUCTURE MARKET FOR SOFTWARE, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 4. AI INFRASTRUCTURE MARKET FOR SERVICES, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 5. GLOBAL AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 6. AI INFRASTRUCTURE MARKET FOR ON-PREMISE, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 7. AI INFRASTRUCTURE MARKET FOR CLOUD, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 8. AI INFRASTRUCTURE MARKET FOR HYBRID, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 9. GLOBAL AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 10. AI INFRASTRUCTURE MARKET FOR MACHINE LEARNING, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 11. AI INFRASTRUCTURE MARKET FOR DEEP LEARNING, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 12. GLOBAL AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 13. AI INFRASTRUCTURE MARKET FOR ENTERPRISES, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 14. AI INFRASTRUCTURE MARKET FOR GOVERNMENTS, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 15. AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS (CSPS), BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 16. GLOBAL AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 17. AI INFRASTRUCTURE MARKET FOR AI TRAINING, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 18. AI INFRASTRUCTURE MARKET FOR INFERENCING, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 19. AI INFRASTRUCTURE MARKET FOR OTHERS, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 20. AI INFRASTRUCTURE MARKET, BY REGION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 21. NORTH AMERICA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 22. NORTH AMERICA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 23. NORTH AMERICA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 24. NORTH AMERICA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 25. NORTH AMERICA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 26. NORTH AMERICA AI INFRASTRUCTURE MARKET, BY COUNTRY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 27. U.S. AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 28. U.S. AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 29. U.S. AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 30. U.S. AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 31. U.S. AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 32. CANADA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 33. CANADA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 34. CANADA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 35. CANADA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 36. CANADA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 37. EUROPE AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 38. EUROPE AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 39. EUROPE AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 40. EUROPE AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 41. EUROPE AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 42. EUROPE AI INFRASTRUCTURE MARKET, BY COUNTRY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 43. UK AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 44. UK AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 45. UK AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 46. UK AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 47. UK AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 48. GERMANY AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 49. GERMANY AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 50. GERMANY AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 51. GERMANY AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 52. GERMANY AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 53. FRANCE AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 54. FRANCE AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 55. FRANCE AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 56. FRANCE AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 57. FRANCE AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 58. ITALY AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 59. ITALY AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 60. ITALY AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 61. ITALY AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 62. ITALY AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 63. SPAIN AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 64. SPAIN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 65. SPAIN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 66. SPAIN AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 67. SPAIN AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 68. REST OF EUROPE AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 69. REST OF EUROPE AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 70. REST OF EUROPE AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 71. REST OF EUROPE AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 72. REST OF EUROPE AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 73. ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 74. ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 75. ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 76. ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 77. ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 78. ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY COUNTRY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 79. CHINA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 80. CHINA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 81. CHINA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 82. CHINA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 83. CHINA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 84. JAPAN AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 85. JAPAN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 86. JAPAN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 87. JAPAN AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 88. JAPAN AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 89. INDIA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 90. INDIA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 91. INDIA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 92. INDIA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 93. INDIA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 94. AUSTRALIA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 95. AUSTRALIA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 96. AUSTRALIA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 97. AUSTRALIA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 98. AUSTRALIA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 99. SOUTH KOREA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 100. SOUTH KOREA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 101. SOUTH KOREA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 102. SOUTH KOREA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 103. SOUTH KOREA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 104. REST OF ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 105. REST OF ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 106. REST OF ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 107. REST OF ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 108. REST OF ASIA-PACIFIC AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 109. LAMEA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 110. LAMEA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 111. LAMEA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 112. LAMEA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 113. LAMEA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 114. LAMEA AI INFRASTRUCTURE MARKET, BY COUNTRY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 115. LATIN AMERICA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 116. LATIN AMERICA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 117. LATIN AMERICA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 118. LATIN AMERICA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 119. LATIN AMERICA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 120. MIDDLE EAST AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 121. MIDDLE EAST AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 122. MIDDLE EAST AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 123. MIDDLE EAST AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 124. MIDDLE EAST AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 125. AFRICA AI INFRASTRUCTURE MARKET, BY COMPONENT, 2021-2031 (REVENUE, $MILLION)
  • TABLE 126. AFRICA AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE, 2021-2031 (REVENUE, $MILLION)
  • TABLE 127. AFRICA AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021-2031 (REVENUE, $MILLION)
  • TABLE 128. AFRICA AI INFRASTRUCTURE MARKET, BY END-USERS, 2021-2031 (REVENUE, $MILLION)
  • TABLE 129. AFRICA AI INFRASTRUCTURE MARKET, BY APPLICATION, 2021-2031 (REVENUE, $MILLION)
  • TABLE 130. NVIDIA CORPORATION: KEY EXECUTIVES
  • TABLE 131. NVIDIA CORPORATION: COMPANY SNAPSHOT
  • TABLE 132. NVIDIA CORPORATION: OPERATING SEGMENTS
  • TABLE 133. NVIDIA CORPORATION: PRODUCT PORTFOLIO
  • TABLE 134. NVIDIA CORPORATION: NET SALES
  • TABLE 135. NVIDIA CORPORATION: KEY STRATERGIES
  • TABLE 136. MICROSOFT CORPORATION: KEY EXECUTIVES
  • TABLE 137. MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • TABLE 138. MICROSOFT CORPORATION: OPERATING SEGMENTS
  • TABLE 139. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
  • TABLE 140. MICROSOFT CORPORATION: NET SALES
  • TABLE 141. MICROSOFT CORPORATION: KEY STRATERGIES
  • TABLE 142. ALPHABET INC.: KEY EXECUTIVES
  • TABLE 143. ALPHABET INC.: COMPANY SNAPSHOT
  • TABLE 144. ALPHABET INC.: OPERATING SEGMENTS
  • TABLE 145. ALPHABET INC.: PRODUCT PORTFOLIO
  • TABLE 146. ALPHABET INC.: NET SALES
  • TABLE 147. ALPHABET INC.: KEY STRATERGIES
  • TABLE 148. INTEL CORPORATION: KEY EXECUTIVES
  • TABLE 149. INTEL CORPORATION: COMPANY SNAPSHOT
  • TABLE 150. INTEL CORPORATION: OPERATING SEGMENTS
  • TABLE 151. INTEL CORPORATION: PRODUCT PORTFOLIO
  • TABLE 152. INTEL CORPORATION: NET SALES
  • TABLE 153. INTEL CORPORATION: KEY STRATERGIES
  • TABLE 154. TOSHIBA CORPORATION: KEY EXECUTIVES
  • TABLE 155. TOSHIBA CORPORATION: COMPANY SNAPSHOT
  • TABLE 156. TOSHIBA CORPORATION: OPERATING SEGMENTS
  • TABLE 157. TOSHIBA CORPORATION: PRODUCT PORTFOLIO
  • TABLE 158. TOSHIBA CORPORATION: NET SALES
  • TABLE 159. TOSHIBA CORPORATION: KEY STRATERGIES
  • TABLE 160. MICRON TECHNOLOGY, INC.: KEY EXECUTIVES
  • TABLE 161. MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
  • TABLE 162. MICRON TECHNOLOGY, INC.: OPERATING SEGMENTS
  • TABLE 163. MICRON TECHNOLOGY, INC.: PRODUCT PORTFOLIO
  • TABLE 164. MICRON TECHNOLOGY, INC.: NET SALES
  • TABLE 165. MICRON TECHNOLOGY, INC.: KEY STRATERGIES
  • TABLE 166. AMAZON.COM, INC.: KEY EXECUTIVES
  • TABLE 167. AMAZON.COM, INC.: COMPANY SNAPSHOT
  • TABLE 168. AMAZON.COM, INC.: OPERATING SEGMENTS
  • TABLE 169. AMAZON.COM, INC.: PRODUCT PORTFOLIO
  • TABLE 170. AMAZON.COM, INC.: NET SALES
  • TABLE 171. AMAZON.COM, INC.: KEY STRATERGIES
  • TABLE 172. ORACLE CORPORATION: KEY EXECUTIVES
  • TABLE 173. ORACLE CORPORATION: COMPANY SNAPSHOT
  • TABLE 174. ORACLE CORPORATION: OPERATING SEGMENTS
  • TABLE 175. ORACLE CORPORATION: PRODUCT PORTFOLIO
  • TABLE 176. ORACLE CORPORATION: NET SALES
  • TABLE 177. ORACLE CORPORATION: KEY STRATERGIES
  • TABLE 178. SAMSUNG ELECTRONICS CO., LTD.: KEY EXECUTIVES
  • TABLE 179. SAMSUNG ELECTRONICS CO., LTD.: COMPANY SNAPSHOT
  • TABLE 180. SAMSUNG ELECTRONICS CO., LTD.: OPERATING SEGMENTS
  • TABLE 181. SAMSUNG ELECTRONICS CO., LTD.: PRODUCT PORTFOLIO
  • TABLE 182. SAMSUNG ELECTRONICS CO., LTD.: NET SALES
  • TABLE 183. SAMSUNG ELECTRONICS CO., LTD.: KEY STRATERGIES
  • TABLE 184. IBM CORPORATION: KEY EXECUTIVES
  • TABLE 185. IBM CORPORATION: COMPANY SNAPSHOT
  • TABLE 186. IBM CORPORATION: OPERATING SEGMENTS
  • TABLE 187. IBM CORPORATION: PRODUCT PORTFOLIO
  • TABLE 188. IBM CORPORATION: NET SALES
  • TABLE 189. IBM CORPORATION: KEY STRATERGIES

LIST OF FIGURES

  • FIGURE 1. SEGMENTATION OF AI INFRASTRUCTURE MARKET,2021-2031
  • FIGURE 2. AI INFRASTRUCTURE MARKET,2021-2031
  • FIGURE 3. TOP INVESTMENT POCKETS, BY REGION
  • FIGURE 4. PORTER FIVE-1
  • FIGURE 5. PORTER FIVE-2
  • FIGURE 6. PORTER FIVE-3
  • FIGURE 7. PORTER FIVE-4
  • FIGURE 8. PORTER FIVE-5
  • FIGURE 9. AI INFRASTRUCTURE MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
  • FIGURE 10. AI INFRASTRUCTURE MARKET,BY COMPONENT,2021(%)
  • FIGURE 11. COMPARATIVE SHARE ANALYSIS OF HARDWARE AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 12. COMPARATIVE SHARE ANALYSIS OF SOFTWARE AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 13. COMPARATIVE SHARE ANALYSIS OF SERVICES AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 14. AI INFRASTRUCTURE MARKET,BY DEPLOYMENT MODE,2021(%)
  • FIGURE 15. COMPARATIVE SHARE ANALYSIS OF ON-PREMISE AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 16. COMPARATIVE SHARE ANALYSIS OF CLOUD AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 17. COMPARATIVE SHARE ANALYSIS OF HYBRID AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 18. AI INFRASTRUCTURE MARKET,BY TECHNOLOGY,2021(%)
  • FIGURE 19. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 20. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 21. AI INFRASTRUCTURE MARKET,BY END-USERS,2021(%)
  • FIGURE 22. COMPARATIVE SHARE ANALYSIS OF ENTERPRISES AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 23. COMPARATIVE SHARE ANALYSIS OF GOVERNMENTS AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 24. COMPARATIVE SHARE ANALYSIS OF CLOUD SERVICE PROVIDERS (CSPS) AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 25. AI INFRASTRUCTURE MARKET,BY APPLICATION,2021(%)
  • FIGURE 26. COMPARATIVE SHARE ANALYSIS OF AI TRAINING AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 27. COMPARATIVE SHARE ANALYSIS OF INFERENCING AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 28. COMPARATIVE SHARE ANALYSIS OF OTHERS AI INFRASTRUCTURE MARKET, 2021 AND 2031(%)
  • FIGURE 29. AI INFRASTRUCTURE MARKET BY REGION,2021
  • FIGURE 30. U.S. AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 31. CANADA AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 32. UK AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 33. GERMANY AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 34. FRANCE AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 35. ITALY AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 36. SPAIN AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 37. REST OF EUROPE AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 38. CHINA AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 39. JAPAN AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 40. INDIA AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 41. AUSTRALIA AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 42. SOUTH KOREA AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 43. REST OF ASIA-PACIFIC AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 44. LATIN AMERICA AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 45. MIDDLE EAST AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 46. AFRICA AI INFRASTRUCTURE MARKET,2021-2031($MILLION)
  • FIGURE 47. TOP WINNING STRATEGIES, BY YEAR
  • FIGURE 48. TOP WINNING STRATEGIES, BY DEVELOPMENT
  • FIGURE 49. TOP WINNING STRATEGIES, BY COMPANY
  • FIGURE 50. PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 51. COMPETITIVE DASHBOARD
  • FIGURE 52. COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
  • FIGURE 53. TOP PLAYER POSITIONING, 2021
  • FIGURE 54. NVIDIA CORPORATION.: NET SALES ($MILLION)
  • FIGURE 55. MICROSOFT CORPORATION.: NET SALES ($MILLION)
  • FIGURE 56. ALPHABET INC..: NET SALES ($MILLION)
  • FIGURE 57. INTEL CORPORATION.: NET SALES ($MILLION)
  • FIGURE 58. TOSHIBA CORPORATION.: NET SALES ($MILLION)
  • FIGURE 59. MICRON TECHNOLOGY, INC..: NET SALES ($MILLION)
  • FIGURE 60. AMAZON.COM, INC..: NET SALES ($MILLION)
  • FIGURE 61. ORACLE CORPORATION.: NET SALES ($MILLION)
  • FIGURE 62. SAMSUNG ELECTRONICS CO., LTD..: NET SALES ($MILLION)
  • FIGURE 63. IBM CORPORATION.: NET SALES ($MILLION)
目次
Product Code: A09353

AI infrastructure encompasses almost every stage of the machine learning workflow. It enables data scientist, data engineers, software engineers and DevOps teams to access and manage the computing resources to test, train and deploy AI algorithms. The world of corporate data becomes streamlined and well-optimized through AI infrastructure. Furthermore, proper AI infrastructure is required to train machine learning algorithms that run through databases and message queuing systems to provide data delivery flow.

Moreover, AI infrastructure is the key that enables the whole machine learning process from start to finish. With a proper AI infrastructure, data scientists, operators, and programmers can access the data, deploy machine learning algorithms, and manage the hardware's computing resources. It is the crucial tool that enables a particular workflow, then divide the workflow into steps. Furthermore, the technological renaissance is brought on by artificial intelligence. Data strategies can become sophisticated through AI infrastructure. Data manipulation and management works both ways. Artificial intelligence can make data strategies far more complex and intricate, and more sophisticated data strategies can improve the overall quality of artificial intelligence. Such advantageous provide lucrative opportunities for the market growth during the forecast period.

On the contrary, artificial intelligence-based technology has a widespread variety of applications ranging from self-driving cars to recommendation systems that are influencing many lifestyle choices. Such applications are empowering the growth of the AI infrastructure market.

Furthermore, AI infrastructure rapidly powers mobility information and insights, altering transportation planning by making vital data collection and understanding more accessible, faster, cheaper, and safer. Cities, transit agencies, transportation departments, and other entities increasingly turn to AI infrastructure to solve challenges, prioritize investments, and gain stakeholder support, thus providing lucrative opportunities for the market growth in the upcoming years. Furthermore, private, and public sectors are adopting AI infrastructure due to surge in demand for digitization. This factor creates lucrative growth opportunities in the market.

Factors such as rise in artificial intelligence maturity in the modern business enterprises and everyday lifestyle of people are signaling significant growth opportunities for the future of global market. In addition, surge in digital and internet penetration around the world is positively impacting the growth of the market. However, lack of trained AI experts and high implementation cost of AI-based technology hampers the market growth. On the contrary, increase in government initiatives and automation trends are expected to offer remunerative opportunities for expansion of the AI infrastructure industry during the forecast period.

The AI infrastructure market is segmented on the basis of component, deployment mode, technology, application, end user, and region. By component, it is divided into hardware, software and services. By deployment mode, it is classified into on-premise, hybrid and cloud. On the basis of technology, it is bifurcated into machine learning and deep learning. By application, the market is classified into AI training, inferencing and others. By end user, the market is categorized into enterprises, government and cloud service providers (CSPs). Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market players operating in the AI infrastructure market include Alphabet Inc., Amazon.com, Inc., IBM Corporation, Intel Corporation, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Samsung and Toshiba Corporation. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of the AI infrastructure market globally.

KEY BENEFITS FOR STAKEHOLDERS            

  • The study provides an in-depth analysis of the global AI infrastructure market forecast along with the current and future trends to explain the imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analysis on global AI infrastructure market trends is provided in the report.
  • The Porter's five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the global AI infrastructure market from 2022 to 2031 is provided to determine the market potential.

Key Market Segments

By Technology

  • Machine Learning
  • Deep Learning

By End-Users

  • Enterprises
  • Governments
  • Cloud Service Providers (CSPs)

By Application

  • AI Training
  • Inferencing
  • Others

By Component

  • Hardware
  • Software
  • Services

By Deployment Mode

  • On-Premise
  • Cloud
  • Hybrid

By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa
  • Key Market Players
    • NVIDIA Corporation
    • Microsoft Corporation
    • Alphabet Inc.
    • Intel Corporation
    • Toshiba Corporation
    • Micron Technology, Inc.
    • Amazon.com, Inc.
    • Oracle Corporation
    • Samsung Electronics Co., Ltd.
    • IBM Corporation

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

  • 1.1.Report description
  • 1.2.Key market segments
  • 1.3.Key benefits to the stakeholders
  • 1.4.Research Methodology
    • 1.4.1.Secondary research
    • 1.4.2.Primary research
    • 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

  • 2.1.Key findings of the study
  • 2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

  • 3.1.Market definition and scope
  • 3.2.Key findings
    • 3.2.1.Top investment pockets
  • 3.3.Porter's five forces analysis
  • 3.4.Market dynamics
    • 3.4.1.Drivers
      • 3.4.1.1. Rise in collaboration between industries and AI & ML solution.
      • 3.4.1.2. Increase in customer satisfaction and adoption of reliable cloud applications.
      • 3.4.1.3. Increase in investments in artificial intelligence (AI)-based systems.
    • 3.4.2.Restraints
      • 3.4.2.1. Lack of skilled professionals.
      • 3.4.2.2. High cost of innovation and budget constraints.
    • 3.4.3.Opportunities
      • 3.4.3.1. Rise in demand for AI software and hardware among enterprises.
  • 3.5.COVID-19 Impact Analysis on the market

CHAPTER 4: AI INFRASTRUCTURE MARKET, BY COMPONENT

  • 4.1 Overview
    • 4.1.1 Market size and forecast
  • 4.2. Hardware
    • 4.2.1 Key market trends, growth factors and opportunities
    • 4.2.2 Market size and forecast, by region
    • 4.2.3 Market share analysis by country
  • 4.3. Software
    • 4.3.1 Key market trends, growth factors and opportunities
    • 4.3.2 Market size and forecast, by region
    • 4.3.3 Market share analysis by country
  • 4.4. Services
    • 4.4.1 Key market trends, growth factors and opportunities
    • 4.4.2 Market size and forecast, by region
    • 4.4.3 Market share analysis by country

CHAPTER 5: AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE

  • 5.1 Overview
    • 5.1.1 Market size and forecast
  • 5.2. On-Premise
    • 5.2.1 Key market trends, growth factors and opportunities
    • 5.2.2 Market size and forecast, by region
    • 5.2.3 Market share analysis by country
  • 5.3. Cloud
    • 5.3.1 Key market trends, growth factors and opportunities
    • 5.3.2 Market size and forecast, by region
    • 5.3.3 Market share analysis by country
  • 5.4. Hybrid
    • 5.4.1 Key market trends, growth factors and opportunities
    • 5.4.2 Market size and forecast, by region
    • 5.4.3 Market share analysis by country

CHAPTER 6: AI INFRASTRUCTURE MARKET, BY TECHNOLOGY

  • 6.1 Overview
    • 6.1.1 Market size and forecast
  • 6.2. Machine Learning
    • 6.2.1 Key market trends, growth factors and opportunities
    • 6.2.2 Market size and forecast, by region
    • 6.2.3 Market share analysis by country
  • 6.3. Deep Learning
    • 6.3.1 Key market trends, growth factors and opportunities
    • 6.3.2 Market size and forecast, by region
    • 6.3.3 Market share analysis by country

CHAPTER 7: AI INFRASTRUCTURE MARKET, BY END-USERS

  • 7.1 Overview
    • 7.1.1 Market size and forecast
  • 7.2. Enterprises
    • 7.2.1 Key market trends, growth factors and opportunities
    • 7.2.2 Market size and forecast, by region
    • 7.2.3 Market share analysis by country
  • 7.3. Governments
    • 7.3.1 Key market trends, growth factors and opportunities
    • 7.3.2 Market size and forecast, by region
    • 7.3.3 Market share analysis by country
  • 7.4. Cloud Service Providers (CSPs)
    • 7.4.1 Key market trends, growth factors and opportunities
    • 7.4.2 Market size and forecast, by region
    • 7.4.3 Market share analysis by country

CHAPTER 8: AI INFRASTRUCTURE MARKET, BY APPLICATION

  • 8.1 Overview
    • 8.1.1 Market size and forecast
  • 8.2. AI Training
    • 8.2.1 Key market trends, growth factors and opportunities
    • 8.2.2 Market size and forecast, by region
    • 8.2.3 Market share analysis by country
  • 8.3. Inferencing
    • 8.3.1 Key market trends, growth factors and opportunities
    • 8.3.2 Market size and forecast, by region
    • 8.3.3 Market share analysis by country
  • 8.4. Others
    • 8.4.1 Key market trends, growth factors and opportunities
    • 8.4.2 Market size and forecast, by region
    • 8.4.3 Market share analysis by country

CHAPTER 9: AI INFRASTRUCTURE MARKET, BY REGION

  • 9.1 Overview
    • 9.1.1 Market size and forecast
  • 9.2 North America
    • 9.2.1 Key trends and opportunities
    • 9.2.2 North America Market size and forecast, by Component
    • 9.2.3 North America Market size and forecast, by Deployment Mode
    • 9.2.4 North America Market size and forecast, by Technology
    • 9.2.5 North America Market size and forecast, by End-Users
    • 9.2.6 North America Market size and forecast, by Application
    • 9.2.7 North America Market size and forecast, by country
      • 9.2.7.1 U.S.
      • 9.2.7.1.1 Key market trends, growth factors and opportunities
      • 9.2.7.1.2 Market size and forecast, by Component
      • 9.2.7.1.3 Market size and forecast, by Deployment Mode
      • 9.2.7.1.4 Market size and forecast, by Technology
      • 9.2.7.1.5 Market size and forecast, by End-Users
      • 9.2.7.1.6 Market size and forecast, by Application
      • 9.2.7.2 Canada
      • 9.2.7.2.1 Key market trends, growth factors and opportunities
      • 9.2.7.2.2 Market size and forecast, by Component
      • 9.2.7.2.3 Market size and forecast, by Deployment Mode
      • 9.2.7.2.4 Market size and forecast, by Technology
      • 9.2.7.2.5 Market size and forecast, by End-Users
      • 9.2.7.2.6 Market size and forecast, by Application
  • 9.3 Europe
    • 9.3.1 Key trends and opportunities
    • 9.3.2 Europe Market size and forecast, by Component
    • 9.3.3 Europe Market size and forecast, by Deployment Mode
    • 9.3.4 Europe Market size and forecast, by Technology
    • 9.3.5 Europe Market size and forecast, by End-Users
    • 9.3.6 Europe Market size and forecast, by Application
    • 9.3.7 Europe Market size and forecast, by country
      • 9.3.7.1 UK
      • 9.3.7.1.1 Key market trends, growth factors and opportunities
      • 9.3.7.1.2 Market size and forecast, by Component
      • 9.3.7.1.3 Market size and forecast, by Deployment Mode
      • 9.3.7.1.4 Market size and forecast, by Technology
      • 9.3.7.1.5 Market size and forecast, by End-Users
      • 9.3.7.1.6 Market size and forecast, by Application
      • 9.3.7.2 Germany
      • 9.3.7.2.1 Key market trends, growth factors and opportunities
      • 9.3.7.2.2 Market size and forecast, by Component
      • 9.3.7.2.3 Market size and forecast, by Deployment Mode
      • 9.3.7.2.4 Market size and forecast, by Technology
      • 9.3.7.2.5 Market size and forecast, by End-Users
      • 9.3.7.2.6 Market size and forecast, by Application
      • 9.3.7.3 France
      • 9.3.7.3.1 Key market trends, growth factors and opportunities
      • 9.3.7.3.2 Market size and forecast, by Component
      • 9.3.7.3.3 Market size and forecast, by Deployment Mode
      • 9.3.7.3.4 Market size and forecast, by Technology
      • 9.3.7.3.5 Market size and forecast, by End-Users
      • 9.3.7.3.6 Market size and forecast, by Application
      • 9.3.7.4 Italy
      • 9.3.7.4.1 Key market trends, growth factors and opportunities
      • 9.3.7.4.2 Market size and forecast, by Component
      • 9.3.7.4.3 Market size and forecast, by Deployment Mode
      • 9.3.7.4.4 Market size and forecast, by Technology
      • 9.3.7.4.5 Market size and forecast, by End-Users
      • 9.3.7.4.6 Market size and forecast, by Application
      • 9.3.7.5 Spain
      • 9.3.7.5.1 Key market trends, growth factors and opportunities
      • 9.3.7.5.2 Market size and forecast, by Component
      • 9.3.7.5.3 Market size and forecast, by Deployment Mode
      • 9.3.7.5.4 Market size and forecast, by Technology
      • 9.3.7.5.5 Market size and forecast, by End-Users
      • 9.3.7.5.6 Market size and forecast, by Application
      • 9.3.7.6 Rest of Europe
      • 9.3.7.6.1 Key market trends, growth factors and opportunities
      • 9.3.7.6.2 Market size and forecast, by Component
      • 9.3.7.6.3 Market size and forecast, by Deployment Mode
      • 9.3.7.6.4 Market size and forecast, by Technology
      • 9.3.7.6.5 Market size and forecast, by End-Users
      • 9.3.7.6.6 Market size and forecast, by Application
  • 9.4 Asia-Pacific
    • 9.4.1 Key trends and opportunities
    • 9.4.2 Asia-Pacific Market size and forecast, by Component
    • 9.4.3 Asia-Pacific Market size and forecast, by Deployment Mode
    • 9.4.4 Asia-Pacific Market size and forecast, by Technology
    • 9.4.5 Asia-Pacific Market size and forecast, by End-Users
    • 9.4.6 Asia-Pacific Market size and forecast, by Application
    • 9.4.7 Asia-Pacific Market size and forecast, by country
      • 9.4.7.1 China
      • 9.4.7.1.1 Key market trends, growth factors and opportunities
      • 9.4.7.1.2 Market size and forecast, by Component
      • 9.4.7.1.3 Market size and forecast, by Deployment Mode
      • 9.4.7.1.4 Market size and forecast, by Technology
      • 9.4.7.1.5 Market size and forecast, by End-Users
      • 9.4.7.1.6 Market size and forecast, by Application
      • 9.4.7.2 Japan
      • 9.4.7.2.1 Key market trends, growth factors and opportunities
      • 9.4.7.2.2 Market size and forecast, by Component
      • 9.4.7.2.3 Market size and forecast, by Deployment Mode
      • 9.4.7.2.4 Market size and forecast, by Technology
      • 9.4.7.2.5 Market size and forecast, by End-Users
      • 9.4.7.2.6 Market size and forecast, by Application
      • 9.4.7.3 India
      • 9.4.7.3.1 Key market trends, growth factors and opportunities
      • 9.4.7.3.2 Market size and forecast, by Component
      • 9.4.7.3.3 Market size and forecast, by Deployment Mode
      • 9.4.7.3.4 Market size and forecast, by Technology
      • 9.4.7.3.5 Market size and forecast, by End-Users
      • 9.4.7.3.6 Market size and forecast, by Application
      • 9.4.7.4 Australia
      • 9.4.7.4.1 Key market trends, growth factors and opportunities
      • 9.4.7.4.2 Market size and forecast, by Component
      • 9.4.7.4.3 Market size and forecast, by Deployment Mode
      • 9.4.7.4.4 Market size and forecast, by Technology
      • 9.4.7.4.5 Market size and forecast, by End-Users
      • 9.4.7.4.6 Market size and forecast, by Application
      • 9.4.7.5 South Korea
      • 9.4.7.5.1 Key market trends, growth factors and opportunities
      • 9.4.7.5.2 Market size and forecast, by Component
      • 9.4.7.5.3 Market size and forecast, by Deployment Mode
      • 9.4.7.5.4 Market size and forecast, by Technology
      • 9.4.7.5.5 Market size and forecast, by End-Users
      • 9.4.7.5.6 Market size and forecast, by Application
      • 9.4.7.6 Rest of Asia-Pacific
      • 9.4.7.6.1 Key market trends, growth factors and opportunities
      • 9.4.7.6.2 Market size and forecast, by Component
      • 9.4.7.6.3 Market size and forecast, by Deployment Mode
      • 9.4.7.6.4 Market size and forecast, by Technology
      • 9.4.7.6.5 Market size and forecast, by End-Users
      • 9.4.7.6.6 Market size and forecast, by Application
  • 9.5 LAMEA
    • 9.5.1 Key trends and opportunities
    • 9.5.2 LAMEA Market size and forecast, by Component
    • 9.5.3 LAMEA Market size and forecast, by Deployment Mode
    • 9.5.4 LAMEA Market size and forecast, by Technology
    • 9.5.5 LAMEA Market size and forecast, by End-Users
    • 9.5.6 LAMEA Market size and forecast, by Application
    • 9.5.7 LAMEA Market size and forecast, by country
      • 9.5.7.1 Latin America
      • 9.5.7.1.1 Key market trends, growth factors and opportunities
      • 9.5.7.1.2 Market size and forecast, by Component
      • 9.5.7.1.3 Market size and forecast, by Deployment Mode
      • 9.5.7.1.4 Market size and forecast, by Technology
      • 9.5.7.1.5 Market size and forecast, by End-Users
      • 9.5.7.1.6 Market size and forecast, by Application
      • 9.5.7.2 Middle East
      • 9.5.7.2.1 Key market trends, growth factors and opportunities
      • 9.5.7.2.2 Market size and forecast, by Component
      • 9.5.7.2.3 Market size and forecast, by Deployment Mode
      • 9.5.7.2.4 Market size and forecast, by Technology
      • 9.5.7.2.5 Market size and forecast, by End-Users
      • 9.5.7.2.6 Market size and forecast, by Application
      • 9.5.7.3 Africa
      • 9.5.7.3.1 Key market trends, growth factors and opportunities
      • 9.5.7.3.2 Market size and forecast, by Component
      • 9.5.7.3.3 Market size and forecast, by Deployment Mode
      • 9.5.7.3.4 Market size and forecast, by Technology
      • 9.5.7.3.5 Market size and forecast, by End-Users
      • 9.5.7.3.6 Market size and forecast, by Application

CHAPTER 10: COMPETITIVE LANDSCAPE

  • 10.1. Introduction
  • 10.2. Top winning strategies
  • 10.3. Product Mapping of Top 10 Player
  • 10.4. Competitive Dashboard
  • 10.5. Competitive Heatmap
  • 10.6. Top player positioning, 2021

CHAPTER 11: COMPANY PROFILES

  • 11.1 NVIDIA Corporation
    • 11.1.1 Company overview
    • 11.1.2 Key Executives
    • 11.1.3 Company snapshot
    • 11.1.4 Operating business segments
    • 11.1.5 Product portfolio
    • 11.1.6 Business performance
    • 11.1.7 Key strategic moves and developments
  • 11.2 Microsoft Corporation
    • 11.2.1 Company overview
    • 11.2.2 Key Executives
    • 11.2.3 Company snapshot
    • 11.2.4 Operating business segments
    • 11.2.5 Product portfolio
    • 11.2.6 Business performance
    • 11.2.7 Key strategic moves and developments
  • 11.3 Alphabet Inc.
    • 11.3.1 Company overview
    • 11.3.2 Key Executives
    • 11.3.3 Company snapshot
    • 11.3.4 Operating business segments
    • 11.3.5 Product portfolio
    • 11.3.6 Business performance
    • 11.3.7 Key strategic moves and developments
  • 11.4 Intel Corporation
    • 11.4.1 Company overview
    • 11.4.2 Key Executives
    • 11.4.3 Company snapshot
    • 11.4.4 Operating business segments
    • 11.4.5 Product portfolio
    • 11.4.6 Business performance
    • 11.4.7 Key strategic moves and developments
  • 11.5 Toshiba Corporation
    • 11.5.1 Company overview
    • 11.5.2 Key Executives
    • 11.5.3 Company snapshot
    • 11.5.4 Operating business segments
    • 11.5.5 Product portfolio
    • 11.5.6 Business performance
    • 11.5.7 Key strategic moves and developments
  • 11.6 Micron Technology, Inc.
    • 11.6.1 Company overview
    • 11.6.2 Key Executives
    • 11.6.3 Company snapshot
    • 11.6.4 Operating business segments
    • 11.6.5 Product portfolio
    • 11.6.6 Business performance
    • 11.6.7 Key strategic moves and developments
  • 11.7 Amazon.com, Inc.
    • 11.7.1 Company overview
    • 11.7.2 Key Executives
    • 11.7.3 Company snapshot
    • 11.7.4 Operating business segments
    • 11.7.5 Product portfolio
    • 11.7.6 Business performance
    • 11.7.7 Key strategic moves and developments
  • 11.8 Oracle Corporation
    • 11.8.1 Company overview
    • 11.8.2 Key Executives
    • 11.8.3 Company snapshot
    • 11.8.4 Operating business segments
    • 11.8.5 Product portfolio
    • 11.8.6 Business performance
    • 11.8.7 Key strategic moves and developments
  • 11.9 Samsung Electronics Co., Ltd.
    • 11.9.1 Company overview
    • 11.9.2 Key Executives
    • 11.9.3 Company snapshot
    • 11.9.4 Operating business segments
    • 11.9.5 Product portfolio
    • 11.9.6 Business performance
    • 11.9.7 Key strategic moves and developments
  • 11.10 IBM Corporation
    • 11.10.1 Company overview
    • 11.10.2 Key Executives
    • 11.10.3 Company snapshot
    • 11.10.4 Operating business segments
    • 11.10.5 Product portfolio
    • 11.10.6 Business performance
    • 11.10.7 Key strategic moves and developments