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1446935

スポーツにおける人工知能市場：コンポーネント別、展開モデル別、技術別、用途別、ゲームタイプ別：2023年～2032年の世界機会分析と産業予測

Artificial Intelligence in Sports Market By Component, By Deployment Model, By Technology, By Application, By Game Type : Global Opportunity Analysis and Industry Forecast, 2023-2032
出版日: | 発行: Allied Market Research | ページ情報: 英文 350 Pages | 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
スポーツにおける人工知能市場：コンポーネント別、展開モデル別、技術別、用途別、ゲームタイプ別：2023年～2032年の世界機会分析と産業予測
出版日: 2024年02月01日
発行: Allied Market Research
ページ情報: 英文 350 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

スポーツにおける人工知能（AI）は、試合後の分析、試合中の活動、そしてファンの体験にまで及ぶ。

AIはさらに、選手のパフォーマンスを向上させるために活用されています。HomeCourt、ESPN Player、MaxOne（M1）のAI SmartCoachなどのアプリは、コンピュータビジョンと機械学習を利用してバスケットボール選手のスキルを評価し、ゲームを向上させるための良い媒体を与えています。さらに、アスリートのこれらのパフォーマンス測定基準の記録は、企業が最大限の潜在能力を発揮できる領域と、まだ改善が必要な領域を理解するのに役立ちます。

Artificial Intelligence in Sports Market-IMG1

本レポートでは、スポーツにおけるAI市場について、その構成要素、展開モード、技術、用途、スポーツタイプとともに調査しています。この調査には、商用ライセンスの販売による収益とオープンソースのスポーツAIソリューションのアップグレード料金による収益が含まれます。本レポートで検討している人工ニューラルネットワークソリューションの用途は、画像認識、不正検出、データマイニングプロセスです。

また、AI技術を使用することで、生産や効率の向上など、いくつかの利点があります。AIを搭載したソリューションは、システム、エンドポイント、ネットワークを継続的に監視し、セキュリティ侵害に対する迅速な対応とリアルタイムの可視化を可能にします。これはさらに、より正確で効果的なスポーツ・オペレーションにつながります。さらに、いくつかの業界における行動分析に対する需要の増加が、世界市場の成長を促進する一因となっています。AIシステムはより訓練されており、スポーツ・ソリューションの精度を向上させることで誤検知の可能性をさらに減らしています。このような強化された要素は、予測期間中に市場成長のための有利な機会を提供すると期待されています。さらに、様々なアプリケーションにインテリジェントなAIソリューションを統合することで、企業やエンドユーザーにいくつかのメリットを生み出す可能性があります。さらに、これらの多くの利点は、強化された顧客の利便性とより良いセキュリティ体験を提供します。その結果、スポーツ技術におけるAIは、事業者の間で自動化システムの使用を増加させるため、大幅な採用を獲得しています。これらの要因は、予測期間における市場の成長に積極的に影響を与えています。さらに、デジタル対応ソリューションの動向の高まりは、市場成長を促進する主な要因です。

さらに、さまざまなアプリケーションにおけるIoTデバイスの使用急増と、これらのインターネットデバイスによって生成されるデータ量の増加は、世界のスポーツAI市場に有利な機会を生み出しています。さらに、企業全体における柔軟なセキュリティサービスに対する需要の高まりは、予測期間中の市場の成長を促進すると予想されます。さらに、セキュリティデータの可視化ツールの増加も生じており、予測期間中に市場に有利な成長機会をもたらすと期待されています。

選手のデータを監視・追跡する需要の増加と、フォロワーと対話するためのチャットボット＆バーチャルアシスタントのニーズの急増は、世界のスポーツにおける人工知能市場の主要な推進力として機能します。また、継続的な情報調査に対する人気の拡大は、市場の発展に決定的な影響を与えます。しかし、準備の整った有能な専門家の不在と高い実行・維持コストが市場開拓の妨げとなっています。逆に、将来予測を行うためのAI需要の急増は、予測期間中の市場拡大に有益な機会を提供すると期待されています。

スポーツにおける人工知能市場は、コンポーネント、展開モデル、テクノロジー、アプリケーション、ゲームタイプ、地域に区分されます。コンポーネントによって、市場はソフトウェアとサービスに二分されます。展開モデルでは、オンプレミスとクラウドに分類されます。技術ベースでは、機械学習、自然言語処理、コンピュータビジョン、データ分析、その他に細分化されます。アプリケーション別では、ゲームプランニング、ゲーム戦略、パフォーマンス向上、傷害予防スポーツリクルート、その他に分類されます。ゲームタイプ別では、サッカー、クリケット、テニス、バスケットボール、野球、その他に分類されます。地域別では、北米、欧州、アジア太平洋、LAMEAで分析されます。

利害関係者にとっての主なメリット

  • 本調査では、スポーツにおけるAI市場予測について、現在および将来の動向とともに詳細に分析し、差し迫った投資ポケットについて解説しています。
  • 主な市場促進要因、抑制要因、機会、およびそれらがスポーツにおけるAI市場動向に与える影響分析に関する情報を掲載しています。
  • ポーターのファイブフォース分析では、業界で活動するバイヤーとサプライヤーの潜在力を示しています。
  • 2022年から2032年までのスポーツにおけるAI市場の定量分析は、市場の可能性を決定するために提供されます。

本レポートのカスタマイズの可能性（追加費用とスケジュールが必要です。）

  • 投資機会
  • 製品/セグメント別のプレイヤーの市場シェア分析
  • 規制ガイドライン
  • 顧客の関心に応じた企業プロファイルの追加
  • 国別または地域別の追加分析-市場規模と予測
  • 世界/地域/国別レベルでの企業の市場シェア分析
  • SWOT分析

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 市場概要

  • 市場の定義と範囲
  • 主な調査結果
    • 影響要因
    • 主な投資機会
  • ポーターのファイブフォース分析
  • 市場力学
    • 促進要因
      • 企業のモニタリングとトラッキングデータに対する需要の増加
      • フォロワーと対話するためのチャットボットとバーチャルアシスタントの需要の急増
      • リアルタイムのデータ分析に対する需要の高まり
    • 抑制要因
      • 訓練を受けた熟練した専門家の不足
      • 高い導入コストとメンテナンスコスト
    • 機会
      • 将来予測を行うAIへの需要の高まり

第4章 スポーツにおける人工知能市場：コンポーネント別

  • 概要
  • ソフトウェア
  • サービス

第5章 スポーツにおける人工知能市場：展開モデル別

  • 概要
  • オンプレミス
  • クラウド

第6章 スポーツにおける人工知能市場：技術別

  • 概要
  • 機械学習
  • 自然言語処理
  • コンピュータビジョン
  • データ分析
  • その他

第7章 スポーツにおける人工知能市場：用途別

  • 概要
  • ゲームプランニング
  • ゲーム戦略
  • パフォーマンス向上
  • 怪我の予防
  • スポーツ・リクルートメント
  • その他

第8章 スポーツにおける人工知能市場：ゲームタイプ別

  • 概要
  • サッカー
  • クリケット
  • テニス
  • バスケットボール
  • 野球
  • その他

第9章 スポーツにおける人工知能市場：地域別

  • 概要
  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • フランス
    • イタリア
    • スペイン
    • その他
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • オーストラリア
    • 韓国
    • その他
  • ラテンアメリカ
    • ラテンアメリカ
    • 中東
    • アフリカ

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
  • 競合ヒートマップ
  • 主要企業のポジショニング、2022年

第11章 企業プロファイル

  • Catapult Group International Limited.
  • Meta Platforms, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Salesforce.com Inc.
  • SAP SE
  • SAS Institute Inc
  • Sportradar AG
  • Stats Perform
  • TruMedia Networks
図表

LIST OF TABLES

  • TABLE 01. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 02. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR SOFTWARE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 03. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR SERVICE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 04. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 05. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR ON-PREMISE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 06. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR CLOUD, BY REGION, 2022-2032 ($MILLION)
  • TABLE 07. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 08. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR MACHINE LEARNING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 09. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 10. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR COMPUTER VISION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 11. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR DATA ANALYTICS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 12. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 14. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR GAME PLANNING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 15. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR GAME STRATEGIES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 16. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR PERFORMANCE IMPROVEMENT, BY REGION, 2022-2032 ($MILLION)
  • TABLE 17. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR INJURY PREVENTION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 18. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR SPORTS RECRUITMENT, BY REGION, 2022-2032 ($MILLION)
  • TABLE 19. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 21. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR FOOTBALL, BY REGION, 2022-2032 ($MILLION)
  • TABLE 22. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR CRICKET, BY REGION, 2022-2032 ($MILLION)
  • TABLE 23. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR TENNIS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 24. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR BASKETBALL, BY REGION, 2022-2032 ($MILLION)
  • TABLE 25. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR BASEBALL, BY REGION, 2022-2032 ($MILLION)
  • TABLE 26. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 27. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY REGION, 2022-2032 ($MILLION)
  • TABLE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 29. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 30. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 31. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 32. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 33. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COUNTRY, 2022-2032 ($MILLION)
  • TABLE 34. U.S. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 35. U.S. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 36. U.S. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 37. U.S. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 38. U.S. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 39. CANADA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 40. CANADA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 41. CANADA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 42. CANADA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 43. CANADA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 44. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 45. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 46. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 47. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 48. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 49. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COUNTRY, 2022-2032 ($MILLION)
  • TABLE 50. UK ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 51. UK ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 52. UK ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 53. UK ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 54. UK ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 55. GERMANY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 56. GERMANY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 57. GERMANY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 58. GERMANY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 59. GERMANY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 60. FRANCE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 61. FRANCE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 62. FRANCE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 63. FRANCE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 64. FRANCE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 65. ITALY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 66. ITALY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 67. ITALY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 68. ITALY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 69. ITALY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 70. SPAIN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 71. SPAIN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 72. SPAIN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 73. SPAIN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 74. SPAIN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 75. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 76. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 77. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 78. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 79. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 80. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 81. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 82. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 83. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 84. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 85. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COUNTRY, 2022-2032 ($MILLION)
  • TABLE 86. CHINA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 87. CHINA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 88. CHINA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 89. CHINA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 90. CHINA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 91. JAPAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 92. JAPAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 93. JAPAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 94. JAPAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 95. JAPAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 96. INDIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 97. INDIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 98. INDIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 99. INDIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 100. INDIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 101. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 102. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 103. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 104. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 105. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 106. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 107. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 108. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 109. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 110. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 111. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 112. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 113. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 114. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 115. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 116. LAMEA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 117. LAMEA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 118. LAMEA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 119. LAMEA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 120. LAMEA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 121. LAMEA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COUNTRY, 2022-2032 ($MILLION)
  • TABLE 122. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 123. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 124. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 125. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 126. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 127. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 128. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 129. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 130. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 131. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 132. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 133. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
  • TABLE 134. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
  • TABLE 135. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 136. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022-2032 ($MILLION)
  • TABLE 137. CATAPULT GROUP INTERNATIONAL LIMITED.: KEY EXECUTIVES
  • TABLE 138. CATAPULT GROUP INTERNATIONAL LIMITED.: COMPANY SNAPSHOT
  • TABLE 139. CATAPULT GROUP INTERNATIONAL LIMITED.: SERVICE SEGMENTS
  • TABLE 140. CATAPULT GROUP INTERNATIONAL LIMITED.: PRODUCT PORTFOLIO
  • TABLE 141. CATAPULT GROUP INTERNATIONAL LIMITED.: KEY STRATERGIES
  • TABLE 142. META PLATFORMS, INC.: KEY EXECUTIVES
  • TABLE 143. META PLATFORMS, INC.: COMPANY SNAPSHOT
  • TABLE 144. META PLATFORMS, INC.: SERVICE SEGMENTS
  • TABLE 145. META PLATFORMS, INC.: PRODUCT PORTFOLIO
  • TABLE 146. META PLATFORMS, INC.: KEY STRATERGIES
  • TABLE 147. IBM CORPORATION: KEY EXECUTIVES
  • TABLE 148. IBM CORPORATION: COMPANY SNAPSHOT
  • TABLE 149. IBM CORPORATION: PRODUCT SEGMENTS
  • TABLE 150. IBM CORPORATION: PRODUCT PORTFOLIO
  • TABLE 151. IBM CORPORATION: KEY STRATERGIES
  • TABLE 152. MICROSOFT CORPORATION: KEY EXECUTIVES
  • TABLE 153. MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • TABLE 154. MICROSOFT CORPORATION: SERVICE SEGMENTS
  • TABLE 155. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
  • TABLE 156. MICROSOFT CORPORATION: KEY STRATERGIES
  • TABLE 157. SALESFORCE.COM INC.: KEY EXECUTIVES
  • TABLE 158. SALESFORCE.COM INC.: COMPANY SNAPSHOT
  • TABLE 159. SALESFORCE.COM INC.: SERVICE SEGMENTS
  • TABLE 160. SALESFORCE.COM INC.: PRODUCT PORTFOLIO
  • TABLE 161. SALESFORCE.COM INC.: KEY STRATERGIES
  • TABLE 162. SAP SE: KEY EXECUTIVES
  • TABLE 163. SAP SE: COMPANY SNAPSHOT
  • TABLE 164. SAP SE: PRODUCT SEGMENTS
  • TABLE 165. SAP SE: PRODUCT PORTFOLIO
  • TABLE 166. SAS INSTITUTE INC: KEY EXECUTIVES
  • TABLE 167. SAS INSTITUTE INC: COMPANY SNAPSHOT
  • TABLE 168. SAS INSTITUTE INC: SERVICE SEGMENTS
  • TABLE 169. SAS INSTITUTE INC: PRODUCT PORTFOLIO
  • TABLE 170. SAS INSTITUTE INC: KEY STRATERGIES
  • TABLE 171. SPORTRADAR AG: KEY EXECUTIVES
  • TABLE 172. SPORTRADAR AG: COMPANY SNAPSHOT
  • TABLE 173. SPORTRADAR AG: SERVICE SEGMENTS
  • TABLE 174. SPORTRADAR AG: PRODUCT PORTFOLIO
  • TABLE 175. SPORTRADAR AG: KEY STRATERGIES
  • TABLE 176. STATS PERFORM: KEY EXECUTIVES
  • TABLE 177. STATS PERFORM: COMPANY SNAPSHOT
  • TABLE 178. STATS PERFORM: PRODUCT SEGMENTS
  • TABLE 179. STATS PERFORM: PRODUCT PORTFOLIO
  • TABLE 180. STATS PERFORM: KEY STRATERGIES
  • TABLE 181. TRUMEDIA NETWORKS: KEY EXECUTIVES
  • TABLE 182. TRUMEDIA NETWORKS: COMPANY SNAPSHOT
  • TABLE 183. TRUMEDIA NETWORKS: PRODUCT SEGMENTS
  • TABLE 184. TRUMEDIA NETWORKS: PRODUCT PORTFOLIO
  • TABLE 185. TRUMEDIA NETWORKS: KEY STRATERGIES

LIST OF FIGURES

  • FIGURE 01. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032
  • FIGURE 02. SEGMENTATION OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET,2022-2032
  • FIGURE 03. TOP IMPACTING FACTORS IN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET (2022 TO 2032)
  • FIGURE 04. TOP INVESTMENT POCKETS IN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET (2023-2032)
  • FIGURE 05. LOW BARGAINING POWER OF SUPPLIERS
  • FIGURE 06. LOW THREAT OF NEW ENTRANTS
  • FIGURE 07. LOW THREAT OF SUBSTITUTES
  • FIGURE 08. LOW INTENSITY OF RIVALRY
  • FIGURE 09. LOW BARGAINING POWER OF BUYERS
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
  • FIGURE 11. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT, 2022 AND 2032(%)
  • FIGURE 12. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR SOFTWARE, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 13. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR SERVICE, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 14. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL, 2022 AND 2032(%)
  • FIGURE 15. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR ON-PREMISE, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 16. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR CLOUD, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 17. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY, 2022 AND 2032(%)
  • FIGURE 18. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR MACHINE LEARNING, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 19. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR NATURAL LANGUAGE PROCESSING, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 20. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR COMPUTER VISION, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 21. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR DATA ANALYTICS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 22. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 23. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION, 2022 AND 2032(%)
  • FIGURE 24. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR GAME PLANNING, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 25. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR GAME STRATEGIES, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 26. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR PERFORMANCE IMPROVEMENT, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 27. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR INJURY PREVENTION, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 28. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR SPORTS RECRUITMENT, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 29. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 30. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE, 2022 AND 2032(%)
  • FIGURE 31. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR FOOTBALL, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 32. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR CRICKET, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 33. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR TENNIS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 34. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR BASKETBALL, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 35. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR BASEBALL, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 36. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN SPORTS MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 37. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET BY REGION, 2022 AND 2032(%)
  • FIGURE 38. U.S. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 39. CANADA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 40. UK ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 41. GERMANY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 42. FRANCE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 43. ITALY ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 44. SPAIN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 45. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 46. CHINA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 47. JAPAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 48. INDIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 49. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 50. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 51. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 52. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 53. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 54. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, 2022-2032 ($MILLION)
  • FIGURE 55. TOP WINNING STRATEGIES, BY YEAR (2020-2023)
  • FIGURE 56. TOP WINNING STRATEGIES, BY DEVELOPMENT (2020-2023)
  • FIGURE 57. TOP WINNING STRATEGIES, BY COMPANY (2020-2023)
  • FIGURE 58. PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 59. COMPETITIVE DASHBOARD
  • FIGURE 60. COMPETITIVE HEATMAP: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET
  • FIGURE 61. TOP PLAYER POSITIONING, 2022
  • FIGURE 62. META PLATFORMS, INC.: NET REVENUE, 2020-2022 ($MILLION)
  • FIGURE 63. META PLATFORMS, INC.: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
  • FIGURE 64. META PLATFORMS, INC.: REVENUE SHARE BY REGION, 2022 (%)
  • FIGURE 65. META PLATFORMS, INC.: REVENUE SHARE BY SEGMENT, 2022 (%)
  • FIGURE 66. IBM CORPORATION: NET REVENUE, 2020-2022 ($MILLION)
  • FIGURE 67. IBM CORPORATION: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
  • FIGURE 68. IBM CORPORATION: REVENUE SHARE BY SEGMENT, 2022 (%)
  • FIGURE 69. IBM CORPORATION: REVENUE SHARE BY REGION, 2022 (%)
  • FIGURE 70. MICROSOFT CORPORATION: NET REVENUE, 2021-2023 ($MILLION)
  • FIGURE 71. MICROSOFT CORPORATION: RESEARCH & DEVELOPMENT EXPENDITURE, 2021-2023 ($MILLION)
  • FIGURE 72. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2023 (%)
  • FIGURE 73. MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2023 (%)
  • FIGURE 74. SALESFORCE.COM INC.: NET REVENUE, 2021-2023 ($MILLION)
  • FIGURE 75. SALESFORCE.COM INC.: RESEARCH & DEVELOPMENT EXPENDITURE, 2021-2023 ($MILLION)
  • FIGURE 76. SALESFORCE.COM INC.: REVENUE SHARE BY SEGMENT, 2023 (%)
  • FIGURE 77. SALESFORCE.COM INC.: REVENUE SHARE BY REGION, 2023 (%)
  • FIGURE 78. SAP SE: NET REVENUE, 2020-2022 ($MILLION)
  • FIGURE 79. SAP SE: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
  • FIGURE 80. SAP SE: REVENUE SHARE BY SEGMENT, 2022 (%)
  • FIGURE 81. SAP SE: REVENUE SHARE BY REGION, 2022 (%)
  • FIGURE 82. SPORTRADAR AG: NET REVENUE, 2020-2022 ($MILLION)
  • FIGURE 83. SPORTRADAR AG: REVENUE SHARE BY SEGMENT, 2022 (%)
  • FIGURE 84. SPORTRADAR AG: REVENUE SHARE BY REGION, 2022 (%)
目次
Product Code: A12905

Artificial intelligence (AI) in sports covers post-game analysis, in-game activity, and even the fan experience. AI is further being used to enhance the performance of players. Apps such as HomeCourt, ESPN Player and MaxOne (M1) AI SmartCoach make use of computer vision and machine learning to assess basketball players' skills, giving them a good medium to improve their game. In addition, the recording of these performance metrics of athletes helps players to understand the areas where the player has maximum potential to excel and the areas that still need improvement.

Artificial Intelligence in Sports Market - IMG1

The report covers the study of AI in sports market along with its component, deployment mode, technology, application and sports type. The research involves a study of AI in sports solutions, which includes revenue realized from the sale of commercial licenses as well as revenue realized from the upgrade charges of open-source AI in sports solutions. The applications of the artificial neural network solutions considered in the report are image recognition, fraud detection, and data mining processes.

In addition, there are several advantages to using AI technology, including gains in production and efficiency. AI-powered solutions can continuously monitor systems, endpoints, and networks, enabling swift response and real-time visibility into any security breaches. This further leads to more accurate and effective sports operations. In addition, the increase in demand for behavioral analysis in several industries further contributes to driving growth of the global market. The AI systems are more trained, that further reduced the chances of false positives by improving accuracy of the sports solutions. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. In addition, the integration of intelligent AI solutions in various applications has the potential to create several benefits for businesses and end users. Moreover, these numerous benefits provide enhanced customer convenience and a better security experience. Consequently, AI in sports technology is gaining significant adoption to increase the use of automation systems among business operators. These factors actively impact the growth of the market in the forecast period. Additionally, the growing trend of digitally enabled solutions is the major factor driving the market growth.

Moreover, the surge in usage of IoT devices in various applications and rising amount of data generated by these internet devices creates lucrative opportunities for the global AI in sports market. Moreover, growing demand for flexible security services across businesses is expected to fuel the growth of the market during the forecast period. Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period.

Increase in demand for monitoring and tracking data of players and surge in need for chatbots & virtual assistants to interact with followers act as the key driving forces of the global artificial intelligence in sports market. In addition, the expansion popular for ongoing information investigation decidedly influences the development of the market. However, the absence of prepared and talented experts and high execution and upkeep costs hamper the market development. On the contrary, surge in demand of AI for making future predictions is expected to offer remunerative opportunities for expansion of the market during the forecast period.

The artificial intelligence in sports market is segmented into component, deployment model, technology, application, game type, and region. Depending on the component, the market is bifurcated into software and services. By deployment model, it is categorized on-premises and cloud. On the basis of technology, it is fragmented into machine learning, natural language processing, computer vision, data analytics, and others. By application, it is segregated into game planning, game strategies, performance improvement, injury prevention sports recruitment, and others. As per game type, it is classified into football, cricket, tennis, basketball, baseball, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Competitive analysis and profiles of the major players in the artificial intelligence in sports market are Catapult Group International Ltd., Facebook Inc., IBM Corporation, Microsoft Corporation, Salesforce.com Inc., SAP SE, SAS Institute Inc., Sportradar AG, Stats Perform, and Trumedia Networks. 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 artificial intelligence in sports market globally.

KEY BENEFITS FOR STAKEHOLDERS

  • The study provides an in-depth analysis of the AI in sports 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 AI in sports 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 AI in sports market from 2022 to 2032 is provided to determine the market potential.

Additional benefits you will get with this purchase are:

  • Quarterly Update and* (only available with a corporate license, on listed price)
  • 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
  • Free Upcoming Version on the Purchase of Five and Enterprise User License.
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  • 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
  • Free data Pack on the Five and Enterprise User License. (Excel version of the report)
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Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

  • Investment Opportunities
  • Market share analysis of players by products/segments
  • Regulatory Guidelines
  • Additional company profiles with specific to client's interest
  • Additional country or region analysis- market size and forecast
  • Market share analysis of players at global/region/country level
  • SWOT Analysis

Key Market Segments

By Component

  • Software
  • Service

By Deployment Model

  • On-premise
  • Cloud

By Technology

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Data Analytics
  • Others

By Application

  • Game Planning
  • Game Strategies
  • Performance Improvement
  • Injury Prevention
  • Sports Recruitment
  • Others

By Game Type

  • Football
  • Cricket
  • Tennis
  • Basketball
  • Baseball
  • Others

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:

    • Meta Platforms, Inc.
    • IBM Corporation
    • Microsoft Corporation
    • SAP SE
    • SAS Institute Inc
    • Stats Perform
    • Catapult Group International Limited.
    • TruMedia Networks
    • Salesforce.com Inc.
    • Sportradar AG

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. Primary research
    • 1.4.2. Secondary research
    • 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

  • 2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

  • 3.1. Market definition and scope
  • 3.2. Key findings
    • 3.2.1. Top impacting factors
    • 3.2.2. Top investment pockets
  • 3.3. Porter's five forces analysis
    • 3.3.1. Low bargaining power of suppliers
    • 3.3.2. Low threat of new entrants
    • 3.3.3. Low threat of substitutes
    • 3.3.4. Low intensity of rivalry
    • 3.3.5. Low bargaining power of buyers
  • 3.4. Market dynamics
    • 3.4.1. Drivers
      • 3.4.1.1. Increase in demand for monitoring and tracking data of players
      • 3.4.1.2. Surge in demand for chatbots and virtual assistants to interact with followers
      • 3.4.1.3. Rise in demand for real-time data analytics
    • 3.4.2. Restraints
      • 3.4.2.1. Lack of trained & skilled professionals
      • 3.4.2.2. High implementation and maintenance cost
    • 3.4.3. Opportunities
      • 3.4.3.1. Upsurge in demand for AI to make future predictions

CHAPTER 4: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT

  • 4.1. Overview
    • 4.1.1. Market size and forecast
  • 4.2. Software
    • 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. Service
    • 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

CHAPTER 5: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL

  • 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

CHAPTER 6: ARTIFICIAL INTELLIGENCE IN SPORTS 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. Natural Language Processing
    • 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
  • 6.4. Computer Vision
    • 6.4.1. Key market trends, growth factors and opportunities
    • 6.4.2. Market size and forecast, by region
    • 6.4.3. Market share analysis by country
  • 6.5. Data Analytics
    • 6.5.1. Key market trends, growth factors and opportunities
    • 6.5.2. Market size and forecast, by region
    • 6.5.3. Market share analysis by country
  • 6.6. Others
    • 6.6.1. Key market trends, growth factors and opportunities
    • 6.6.2. Market size and forecast, by region
    • 6.6.3. Market share analysis by country

CHAPTER 7: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION

  • 7.1. Overview
    • 7.1.1. Market size and forecast
  • 7.2. Game Planning
    • 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. Game Strategies
    • 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. Performance Improvement
    • 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
  • 7.5. Injury Prevention
    • 7.5.1. Key market trends, growth factors and opportunities
    • 7.5.2. Market size and forecast, by region
    • 7.5.3. Market share analysis by country
  • 7.6. Sports Recruitment
    • 7.6.1. Key market trends, growth factors and opportunities
    • 7.6.2. Market size and forecast, by region
    • 7.6.3. Market share analysis by country
  • 7.7. Others
    • 7.7.1. Key market trends, growth factors and opportunities
    • 7.7.2. Market size and forecast, by region
    • 7.7.3. Market share analysis by country

CHAPTER 8: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE

  • 8.1. Overview
    • 8.1.1. Market size and forecast
  • 8.2. Football
    • 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. Cricket
    • 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. Tennis
    • 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
  • 8.5. Basketball
    • 8.5.1. Key market trends, growth factors and opportunities
    • 8.5.2. Market size and forecast, by region
    • 8.5.3. Market share analysis by country
  • 8.6. Baseball
    • 8.6.1. Key market trends, growth factors and opportunities
    • 8.6.2. Market size and forecast, by region
    • 8.6.3. Market share analysis by country
  • 8.7. Others
    • 8.7.1. Key market trends, growth factors and opportunities
    • 8.7.2. Market size and forecast, by region
    • 8.7.3. Market share analysis by country

CHAPTER 9: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY REGION

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

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, 2022

CHAPTER 11: COMPANY PROFILES

  • 11.1. Catapult Group International Limited.
    • 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. Meta Platforms, Inc.
    • 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. IBM Corporation
    • 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. Microsoft 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. Salesforce.com Inc.
    • 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. SAP SE
    • 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
  • 11.7. SAS Institute 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. Key strategic moves and developments
  • 11.8. Sportradar AG
    • 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. Stats Perform
    • 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. Key strategic moves and developments
  • 11.10. TruMedia Networks
    • 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. Key strategic moves and developments