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スポーツにおけるAIの世界市場レポート 2024年

AI In Sports Global Market Report 2024

出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 200 Pages | 納期: 2~10営業日

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スポーツにおけるAIの世界市場レポート 2024年
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2~10営業日
  • 全表示
  • 概要
  • 目次
概要

スポーツにおけるAIの市場規模は近年急激に拡大しています。2023年の18億5,000万米ドルから2024年には24億3,000万米ドルへと、CAGR31.2%で拡大します。過去の期間に観察された成長は、パフォーマンス最適化の需要、ファンエンゲージメントの強化、傷害予防と管理への取り組み、スポーツにおける戦略的意思決定のためのAIの利用、市場競争力強化の推進など、さまざまな要因によるものと考えられます。

スポーツにおけるAI市場規模は、今後数年間で飛躍的な成長が見込まれます。2028年には複合年間成長率(CAGR)28.8%で66億9,000万米ドルに成長します。予測期間中に予想される成長は、スポーツアナリティクスの進化、AIによるアスリート育成プログラムの改善、スポーツにおけるAI技術の世界的拡大、データセキュリティへの注目の高まり、ウェアラブル技術との統合の増加など、いくつかの要因によるものと考えられます。予測期間中に予想される注目すべき動向には、esportsにおけるAIの利用拡大、スポーツにおけるAIベッティングや予測分析の応用、倫理的利用やデータプライバシーへの配慮、AIとスポーツ科学・医学との連携の強化、AI技術を活用したファン体験のカスタマイズなどが含まれます。

スポーツにおけるAI市場の成長予測は、ウェアラブルデバイスの需要増加と密接に結びついています。ウェアラブルデバイスは、身体に装着するように設計された電子機器であり、健康、フィットネス、活動レベルに関連するデータの収集とモニタリングにおいて重要な役割を果たします。スポーツ業界では、AIがアスリートのパフォーマンス・データを追跡・監視するためにウェアラブル・デバイスを利用することが多く、彼らのパフォーマンスに関する貴重な洞察を提供し、改善すべき分野を特定します。2021年1月のガートナー社の予測によると、ウェアラブルデバイスに対する世界のエンドユーザーの支出は、2021年に815億米ドルに達すると予想されています。このようなウェアラブルデバイスへの大きな需要は、スポーツにおけるAI市場の成長に寄与し、パフォーマンスの追跡と分析の強化を促進します。

オンラインゲームの増加も、スポーツ市場における人工知能(AI)の成長を後押しする重要な要因です。オンライン・ゲームは、インターネットを介してビデオゲームをプレイするもので、多くの場合、多人数参加型の環境で、参加者が大幅に増加しています。AIは、仮想キャラクターや環境間のリアルでダイナミックな相互作用を促進することで、より没入感のある魅力的なオンラインゲーム体験を生み出す上で極めて重要な役割を果たしています。これにより、全体的なゲーム体験が向上し、プレイヤーにとってより楽しく、課題的なものになります。2023年のUswitch Limitedによると、何らかのオンラインゲームを常にプレイしている人の数は、世界で推定11億7,000万人です。オンラインゲーム活動の急増は、スポーツにおけるAI市場の成長の原動力であり、この技術はバーチャルスポーツ体験の進化に貢献しています。

2023年のスポーツにおけるAI市場で最大の地域は北米でした。アジア太平洋は、予測期間中、世界のスポーツにおけるAI市場レポートにおいて最も急成長する地域となる見込みです。スポーツにおけるAI市場レポートの対象地域は、アジア太平洋、西欧、東欧、北米、南米、中東・アフリカです。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界市場規模と成長

  • 世界の市場促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の市場規模実績と成長、2018年~2023年
  • 世界の市場規模予測と成長、2023年~2028年、2033年

第6章 市場セグメンテーション

  • 世界のスポーツにおけるAI市場、ソリューション別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • ソフトウェア
  • ハードウェア
  • 世界のスポーツにおけるAI市場、ゲームタイプ別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • フットボール
  • クリケット
  • テニス
  • バスケットボール
  • 世界のスポーツにおけるAI市場、展開別セグメンテーション、実績および予測、2018-2023、2023-2028年、2033年
  • クラウド
  • オンプレミス
  • 世界のスポーツにおけるAI市場、技術別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 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
  • その他の技術
  • 世界のスポーツにおけるAI市場、用途別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • ゲーム企画
  • ゲーム戦略
  • パフォーマンスの向上
  • 傷害予防スポーツ人材募集
  • その他のアプリケーション

第7章 地域および国の分析

  • 世界のスポーツにおけるAI市場、地域別、実績および予測、2018-2023年、2023-2028年、2033年
  • 世界のスポーツにおけるAI市場、国別、実績および予測、2018-2023年、2023-2028年、2033年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 市場競合情勢
  • 市場企業プロファイル
    • International Business Machines Corporation
    • SAP SE
    • SAS Institute Inc.
    • Sportradar AG
    • Amazon Inc.

第31章 競合ベンチマーキング

第32章 競合ダッシュボード

第33章 主要な合併と買収

第34章 将来の見通しと可能性の分析

第35章 付録

目次
Product Code: r11477

“AI In Sports Global Market Report 2024 ” from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in sports market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for ai in sports? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? “The ai in sports market global report ” from The Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

  • 1) By Solution: Software; Hardware
  • 2) By Game Type: Football; Cricket; Tennis; Basketball
  • 3) By Deployment: Cloud; On-Premise
  • 4) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Data Analytics; Other Technologies
  • 5) By Application: Game Planning; Game Strategies; Performance Improvement; Injury Prevention Sports Recruitment; Others Applications
  • Companies Mentioned: International Business Machines Corporation; SAP SE; SAS Institute Inc.; Sportradar AG; Amazon Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Executive Summary

AI in sports involves the utilization of artificial intelligence techniques, including machine learning and computer vision, to enhance different aspects of sports performance, training, and fan engagement. This entails employing algorithms to analyze and process data from various sources, such as sensors, video footage, and other information channels, to provide insights and recommendations to athletes, coaches, and fans.

The main categories of solutions in AI in sports include software, services, and hardware. Software encompasses the intangible components of a computer system, including programs, data, and instructions that guide the computer's operations. It is applied across various sports such as football, cricket, tennis, basketball, baseball, and others. These solutions may be deployed through cloud or on-premise setups and utilize technologies such as machine learning, natural language processing, computer vision, data analytics, among others. The applications of AI in sports span game planning, strategies, performance improvement, injury prevention, sports recruitment, and more.

The AI in sports market research report is one of a series of new reports from The Business Research Company that provides AI in sports market statistics, including AI in sports industry global market size, regional shares, competitors with a AI in sports market share, detailed AI in sports market segments, market trends and opportunities, and any further data you may need to thrive in the AI in sports industry. This AI in sports market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The ai in sports market size has grown exponentially in recent years. It will grow from $1.85 billion in 2023 to $2.43 billion in 2024 at a compound annual growth rate (CAGR) of 31.2%. The growth observed in the historical period can be attributed to various factors, including the demand for performance optimization, enhancements in fan engagement, efforts in injury prevention and management, the use of AI for strategic decision-making in sports, and the drive for increased market competitiveness.

The ai in sports market size is expected to see exponential growth in the next few years. It will grow to $6.69 billion in 2028 at a compound annual growth rate (CAGR) of 28.8%. The anticipated growth in the forecast period can be attributed to several factors, including the evolution of sports analytics, improvements in athlete development programs through AI, the global expansion of AI technologies in sports, a heightened focus on data security, and increased integration with wearable technologies. Noteworthy trends expected in the forecast period encompass the expanded use of AI in esports, the application of AI in sports betting and predictive analytics, considerations for ethical use and data privacy, increased collaboration between AI and sports science and medicine, and the customization of fan experiences through AI technologies.

The anticipated growth of AI in the sports market is closely tied to the increasing demand for wearable devices. Wearable devices, electronic devices designed to be worn on the body, play a crucial role in collecting and monitoring data related to health, fitness, and activity levels. In the sports industry, AI often utilizes wearable devices to track and monitor athletes' performance data, offering valuable insights into their performance and identifying areas for improvement. According to a prediction by Gartner Inc. in January 2021, global end-user spending on wearable devices was expected to reach $81.5 billion in 2021. This significant demand for wearable devices contributes to the growth of AI in the sports market, facilitating enhanced performance tracking and analysis.

The rise in online gaming is another key factor propelling the growth of artificial intelligence (AI) in the sports market. Online gaming, involving playing video games over the internet, often in a multiplayer environment, has witnessed a substantial increase in participation. AI plays a pivotal role in creating more immersive and engaging online gaming experiences by facilitating realistic and dynamic interactions between virtual characters and environments. This enhances the overall gaming experience, making it more enjoyable and challenging for players. According to Uswitch Limited in 2023, there is an estimated 1.17 billion people globally who consistently play some form of online game. The surge in online gaming activities is a driving force behind the growth of AI in the sports market, as the technology contributes to the evolution of virtual sports experiences.

Technological advancements are a key and prevailing trend in the AI in sports market, with major companies actively embracing new technologies to maintain their positions. In October 2022, Epoxy ai, a US-based AI-driven sports technology solutions company, introduced its Audience Cloud technology. This innovative sports technology provides critical insights to gaming operators and sports media organizations, enabling them to better understand customer interactions with their products over time as consumer preferences change with seasons and fandoms evolve. The Audience Cloud utilizes custom-built AI to continuously capture a comprehensive picture of sports fan behavior, facilitating improved analysis for sports gaming and media. The technology gathers user data from diverse sources, including betting, viewing trends, and various contextual indicators.

Major companies operating in the AI in sports market are directing their efforts towards technological advancements, including the development of AI-powered athletes, to fortify their market positions. AI-powered athletes involve monitoring and analyzing athletes' performance using artificial intelligence, leading to optimized training programs, identification of improvement areas, and overall enhancement of athletic performance. In September 2023, Behaviol Pty Ltd., an Australia-based private company, launched the META11 Fantasy tournament, featuring the world's first-ever free-to-play, AI-powered cricket fantasy game. The tournament prioritizes player well-being and enjoyment, with AI-powered athletes designed to adapt and learn, accurately predicting game outcomes and crafting intricate narratives for characters and their stories.

In February 2022, Slinger Bag Inc., a US-based company specializing in innovative game improvement technologies, acquired Gameface.AI for an undisclosed amount. Through this strategic acquisition, Slinger Bag Inc. aims to provide more advanced and personalized training and coaching solutions, expand market reach, gain a competitive edge in the sports technology market, and differentiate itself from competitors. Gameface.AI, an Australia-based artificial intelligence software company, is focused on developing an AI platform for sports analytics, contributing to the advancement of AI applications in the sports industry.

Major companies operating in the ai in sports market report are International Business Machines Corporation, SAP SE, SAS Institute Inc., Sportradar AG, Amazon Inc., Microsoft Corporation, Apple Inc., Opta Sports company, Catapult Group International Ltd., Trumedia Networks, Salesforce.com Inc., Synergy Sports Technology, Krossover, The Chyron Corporation, FocusMotion, VeoRide Inc., Athos, Arccos Golf LLC, Square Off, Kitman Labs, Zone7 Technologies Inc., KINEXON Sports & Media GmbH, Second Spectrum Inc., Zebra Technologies India Pvt. Ltd., Facebook Inc., Stats Perform, ChyronHego Corporation, ShotTracker Inc., PlaySight Interactive Inc., Hawk-Eye Innovations Ltd.

North America was the largest region in the AI in sports market in 2023. Asia-Pacific is expected to be the fastest-growing region in the global AI in sports market report during the forecast period. The regions covered in the ai in sports market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in sports market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in the sports market consists of revenues earned by entities by providing AI in sports services such as athlete tracking and analysis, injury prevention and rehabilitation, game strategy optimization, broadcast production, and ticketing services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in sports market also includes sales of wearable technology devices, smartwatches, fitness trackers, athlete tracking and analysis tools, and AI sports equipment, which are used in providing AI in sports services. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Table of Contents

1. Executive Summary

2. AI In Sports Market Characteristics

3. AI In Sports Market Trends And Strategies

4. AI In Sports Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On the Market
  • 4.2. Ukraine-Russia War Impact On the Market
  • 4.3. COVID-19 Impact On the Market

5. Global AI In Sports Market Size and Growth

  • 5.1. Global AI In Sports Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global AI In Sports Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global AI In Sports Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI In Sports Market Segmentation

  • 6.1. Global AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Software
  • Hardware
  • 6.2. Global AI In Sports Market, Segmentation By Game Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Football
  • Cricket
  • Tennis
  • Basketball
  • 6.3. Global AI In Sports Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Cloud
  • On-Premise
  • 6.4. Global AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Data Analytics
  • Other Technologies
  • 6.5. Global AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Game Planning
  • Game Strategies
  • Performance Improvement
  • Injury Prevention Sports Recruitment
  • Others Applications

7. AI In Sports Market Regional And Country Analysis

  • 7.1. Global AI In Sports Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global AI In Sports Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI In Sports Market

  • 8.1. Asia-Pacific AI In Sports Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China AI In Sports Market

  • 9.1. China AI In Sports Market Overview
  • 9.2. China AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI In Sports Market

  • 10.1. India AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan AI In Sports Market

  • 11.1. Japan AI In Sports Market Overview
  • 11.2. Japan AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI In Sports Market

  • 12.1. Australia AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI In Sports Market

  • 13.1. Indonesia AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea AI In Sports Market

  • 14.1. South Korea AI In Sports Market Overview
  • 14.2. South Korea AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe AI In Sports Market

  • 15.1. Western Europe AI In Sports Market Overview
  • 15.2. Western Europe AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI In Sports Market

  • 16.1. UK AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI In Sports Market

  • 17.1. Germany AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI In Sports Market

  • 18.1. France AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI In Sports Market

  • 19.1. Italy AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI In Sports Market

  • 20.1. Spain AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe AI In Sports Market

  • 21.1. Eastern Europe AI In Sports Market Overview
  • 21.2. Eastern Europe AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI In Sports Market

  • 22.1. Russia AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America AI In Sports Market

  • 23.1. North America AI In Sports Market Overview
  • 23.2. North America AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA AI In Sports Market

  • 24.1. USA AI In Sports Market Overview
  • 24.2. USA AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada AI In Sports Market

  • 25.1. Canada AI In Sports Market Overview
  • 25.2. Canada AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America AI In Sports Market

  • 26.1. South America AI In Sports Market Overview
  • 26.2. South America AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI In Sports Market

  • 27.1. Brazil AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East AI In Sports Market

  • 28.1. Middle East AI In Sports Market Overview
  • 28.2. Middle East AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa AI In Sports Market

  • 29.1. Africa AI In Sports Market Overview
  • 29.2. Africa AI In Sports Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa AI In Sports Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa AI In Sports Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. AI In Sports Market Competitive Landscape And Company Profiles

  • 30.1. AI In Sports Market Competitive Landscape
  • 30.2. AI In Sports Market Company Profiles
    • 30.2.1. International Business Machines Corporation
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. SAP SE
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. SAS Institute Inc.
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Sportradar AG
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Amazon Inc.
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Global AI In Sports Market Competitive Benchmarking

32. Global AI In Sports Market Competitive Dashboard

33. Key Mergers And Acquisitions In The AI In Sports Market

34. AI In Sports Market Future Outlook and Potential Analysis

  • 34.1 AI In Sports Market In 2028 - Countries Offering Most New Opportunities
  • 34.2 AI In Sports Market In 2028 - Segments Offering Most New Opportunities
  • 34.3 AI In Sports Market In 2028 - Growth Strategies
    • 34.3.1 Market Trend Based Strategies
    • 34.3.2 Competitor Strategies

35. Appendix

  • 35.1. Abbreviations
  • 35.2. Currencies
  • 35.3. Historic And Forecast Inflation Rates
  • 35.4. Research Inquiries
  • 35.5. The Business Research Company
  • 35.6. Copyright And Disclaimer