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1798031

2032 年體育市場人工智慧預測：按產品、運動類型、部署模式、技術、應用、最終用戶和地區進行全球分析

AI in Sports Market Forecasts to 2032 - Global Analysis By Offering (Solutions and Services), Sports Type (Team Sports, Individual Sports and Esports), Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球運動人工智慧市場預計在 2025 年達到 55.3 億美元，到 2032 年將達到 301.2 億美元，預測期內的複合年成長率為 27.39%。

體育領域的人工智慧 (AI) 是指應用先進的演算法、機器學習和數據分析來提升運動表現、教練指導、管理和球迷參與等各個方面。 AI 系統處理來自穿戴式裝置、攝影機和感測器的大量數據，以分析運動員表現、預測結果並最佳化策略。它們還能協助預防傷病、發掘人才並提供個人化訓練計畫。此外，AI 還透過視訊助理裁判 (VAR) 等技術提高裁判的準確性，並自動為媒體創作體育內容。

進階遊戲策略最佳化

這項技術使教練和球員能夠即時評估對手的比賽模式、優勢和劣勢。人工智慧主導的洞察能夠在比賽中進行動態調整，從而提升整體表現。預測模型透過模擬潛在的比賽場景來增強訓練效果。這項技術支援基於數據的決策，並減少對直覺的依賴。因此，體育組織獲得了競爭優勢，並推動了人工智慧解決方案的採用。

資料隱私和安全問題

防止運動員敏感表現和健康數據被濫用需要嚴格的保護。違規和未授權存取可能會導致運動員、團隊和組織失去信任。遵守複雜的資料保護法也使執法更加困難。由於這些擔憂，相關人員不願全面採用人工智慧解決方案。結果，市場擴張和創新顯著放緩。

穿戴式裝置和物聯網裝置的普及率不斷提高

穿戴式裝置和物聯網裝置收集大量數據，例如心率、運動模式和疲勞程度，人工智慧會分析這些數據，從而獲得切實可行的洞察。教練和訓練員可以利用這些資訊來最佳化訓練、預防傷害並改善比賽策略。物聯網設備還透過互動體驗和即時統計數據提升了球迷的參與度。穿戴式裝置和人工智慧的結合也支援個人化訓練計畫。這些技術協同效應正在推動全球對人工智慧體育解決方案的需求。

抵制技術採用

許多運動員和體育組織不願從傳統方法轉向人工智慧解決方案。對資料隱私、準確性和可靠性的擔憂引發了信任問題。技術知識的缺乏和高昂的成本進一步阻礙了其應用。這種猶豫限制了人工智慧在策略最佳化、傷害預防和運動表現分析的應用。因此，市場滲透和創新進展緩慢。

COVID-19的影響

新冠疫情嚴重擾亂了體育領域人工智慧市場，影響了訓練、賽事和球迷參與。封鎖和限制措施導致賽事取消，體育活動減少，減緩了人工智慧在即時分析和體能監測方面的應用。然而，這場危機也加速了對遠端教練、虛擬體育模擬以及人工智慧驅動的球迷互動工具的需求。為了因應這些限制，各支球隊和組織紛紛轉向人工智慧進行預測分析、傷病預防和數位互動。這場疫情最終改變了產業重點，並刺激了體育管理和球迷體驗領域人工智慧應用的創新。

預計團隊運動領域將成為預測期內最大的領域

預計在預測期內，團隊運動領域將佔據最大的市場佔有率，這得益於對高級分析的需求，這些分析旨在提升團隊績效、制定策略並促進球員發展。人工智慧工具可幫助教練和分析師即時追蹤球員的動作、疲勞程度和戰術模式。這些技術使團隊能夠根據數據做出有關訓練、傷害預防和賽中調整的決策。足球、籃球和板球等運動的流行正在推動對基於人工智慧的解決方案的投資，以獲得競爭優勢。隨著各團隊尋求提高效率和成功率，該領域對人工智慧的應用將繼續推動市場成長。

預計預測期內，粉絲參與度部分將以最高複合年成長率成長

由於個人化內容、即時統計數據和互動功能提升了觀眾體驗，預計粉絲參與度將在預測期內實現最高成長率。人工智慧工具透過分析粉絲的偏好和行為並提供有針對性的建議，提升了觀眾滿意度。社群媒體整合和人工智慧聊天機器人正在加強球隊與球迷之間的聯繫。預測分析可幫助體育組織設計客製化宣傳活動，以提高粉絲忠誠度。

比最大的地區

這是因為NFL、NBA、MLB和MLS等精英聯盟正在大力投資績效分析、傷病預防工具和球迷參與系統。該地區強大的基礎設施、深厚的美國和加拿大人工智慧研究基礎以及早期應用文化，正在推動機器學習、電腦視覺和預測分析在球員監控、廣播自動化、虛擬觀眾功能和即時賽程最佳化方面的應用。新興發展包括現場說明、自動精彩片段和生成式人工智慧，旨在為球迷內容傳送。

複合年成長率最高的地區

預計亞太地區將在預測期內實現最高的複合年成長率，這得益於價格實惠的穿戴式感測器、電腦視覺分析以及針對電子競技、板球、足球和運動訓練的增強型人工智慧廣播。本地新興企業和全球科技公司正在建立研發中心，以客製化軟體和硬體解決方案。主要趨勢包括政府支持的投資、電子競技整合、虛擬粉絲平台以及用於訓練和廣播沉浸式體驗的生成式人工智慧。由於智慧型手機和網路普及率的提高，中國、日本、印度、韓國和東南亞國家等新興經濟體正在見證人工智慧在運動領域的快速應用。

提供免費客製化

訂閱此報告的客戶將獲得以下免費自訂選項之一：

  • 公司簡介
    • 對最多三家其他市場參與企業進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 透過產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 二手研究資料
    • 先決條件

第3章市場走勢分析

  • 介紹
  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球運動市場人工智慧（按產品提供）

  • 介紹
  • 解決方案
  • 服務

第6章 全球運動人工智慧市場（依運動類型）

  • 介紹
  • 團隊運動
  • 個人運動
  • 電競

第7章 全球運動人工智慧市場（按部署模式）

  • 介紹
  • 本地
  • 雲端基礎

8. 全球體育市場人工智慧技術

  • 介紹
  • 人工智慧世代
  • 機器學習
  • 電腦視覺
  • 自然語言處理
  • 其他

第9章：全球運動人工智慧市場（按應用）

  • 介紹
  • 最佳化參與企業表現
  • 傷害預防和恢復
  • 比賽策略和偵察
  • 粉絲參與和個性化
  • 體育博彩和幻想洞察
  • 其他

第 10 章：全球運動市場人工智慧（按最終用戶）

  • 介紹
  • 專業團隊和俱樂部
  • 體育學院
  • 廣播公司及媒體
  • 技術提供者
  • 博彩與幻想平台
  • 其他

第 11 章：全球運動人工智慧市場（按地區）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章：企業概況

  • IBM Corporation
  • SAP SE
  • SAS Institute Inc.
  • Sportradar AG
  • Catapult Group International Ltd.
  • Microsoft Corporation
  • Oracle Corporation
  • Stats Perform
  • TruMedia Networks
  • Hudl
  • Genius Sports Group
  • Synergy Sports Technology
  • PlaySight Interactive
  • Sportlogiq
  • Zone7 Ltd.
  • Pixellot Ltd.
  • Veo Technologies ApS
  • Clutch Technologies
Product Code: SMRC30401

According to Stratistics MRC, the Global AI in Sports Market is accounted for $5.53 billion in 2025 and is expected to reach $30.12 billion by 2032 growing at a CAGR of 27.39% during the forecast period. Artificial Intelligence (AI) in sports refers to the application of advanced algorithms, machine learning, and data analytics to enhance various aspects of athletic performance, coaching, management, and fan engagement. AI systems process large volumes of data from wearable devices, cameras, and sensors to analyze player performance, predict outcomes, and optimize strategies. It aids in injury prevention, talent scouting, and personalized training programs. Additionally, AI enhances officiating accuracy through technologies like video assistant referees (VAR) and automates sports content creation for media.

Market Dynamics:

Driver:

Advanced game strategy optimization

Coaches and players can evaluate opponents' patterns, strengths, and weaknesses instantly through this technology. AI-driven insights allow for dynamic adjustments during games, improving overall performance. Predictive modeling enhances training sessions by simulating possible game scenarios. This technology supports data-backed decision-making, reducing reliance on intuition alone. As a result, sports organizations gain a competitive edge, driving greater adoption of AI solutions.

Restraint:

Data privacy and security concerns

Strict protection is necessary to guard against misuse of sensitive athlete performance and health data. Players, teams, and organisations may lose trust as a result of violations or illegal access. Complying with intricate data protection laws makes implementation more difficult. Stakeholders are reluctant to fully embrace AI solutions because of these worries. As a result, there are notable slowdowns in market expansion and innovation.

Opportunity:

Growing adoption of wearable & IoT devices

The wearable & IoT devices collect vast amounts of data, including heart rate, movement patterns, and fatigue levels, which AI analyzes for actionable insights. Coaches and trainers use this information to optimize training, prevent injuries, and improve game strategies. IoT-enabled equipment enhances fan engagement through interactive experiences and live statistics. The integration of AI with wearables also supports personalized training programs. This technological synergy boosts demand for AI-driven sports solutions worldwide.

Threat:

Resistance to technology adoption

A lot of sportsmen and sports organisations are reluctant to switch from conventional approaches to AI-powered solutions. Trust problems arise from worries about data privacy, accuracy, and dependability. Lack of technical know-how and exorbitant expenses deter adoption even further. The application of AI for strategy optimisation, injury prevention, and performance analysis is constrained by this hesitancy. Consequently, market penetration and innovation are delayed.

Covid-19 Impact:

The Covid-19 pandemic significantly disrupted the AI in sports market, impacting training, events, and fan engagement. Lockdowns and restrictions led to event cancellations and reduced sports activities, slowing AI adoption in live analytics and performance monitoring. However, the crisis accelerated demand for remote coaching, virtual sports simulations, and AI-driven fan interaction tools. Teams and organizations increasingly used AI for predictive analytics, injury prevention, and digital engagement to adapt to restrictions. The pandemic ultimately reshaped industry priorities, fostering innovation in AI applications for sports management and fan experience.

The team sports segment is expected to be the largest during the forecast period

The team sports segment is expected to account for the largest market share during the forecast period by driving demand for advanced analytics to enhance team performance, strategy, and player development. AI-powered tools help coaches and analysts track real-time player movements, fatigue levels, and tactical patterns. These technologies enable teams to make data-driven decisions for training, injury prevention, and in-game adjustments. The popularity of sports like football, basketball, and cricket fuels investment in AI-based solutions to gain a competitive edge. As teams seek improved efficiency and success rates, AI adoption in this segment continues to accelerate market growth.

The fan engagement segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the fan engagement segment is predicted to witness the highest growth rate due to enhanced audience experiences through personalized content, real-time statistics, and interactive features. AI-powered tools analyze fan preferences and behavior to deliver targeted recommendations, boosting viewer satisfaction. Social media integration and AI-driven chat bots foster stronger connections between teams and supporters. Predictive analytics help sports organizations design tailored campaigns to increase fan loyalty.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share is driven by elite leagues like the NFL, NBA, MLB and MLS investing heavily in performance analytics, injury prevention tools, and fan engagement systems. The region's strong infrastructure, deep research base in AI from the U.S. and Canada, and early adoption culture enable deployment of machine learning, computer vision, and predictive analytics for player monitoring, broadcast automation, virtual spectator features, and real-time scheduling optimisation. Emergent developments include generative AI for live commentary, automated highlights, and dynamic fan personalised content delivery.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR is led by affordable wearable sensors, computer vision analytics, and enhanced AI broadcasting for esports, cricket, soccer and athletic training. Local start-ups and global tech firms are setting up R&D centers to tailor software and hardware solutions. Key trends include government-backed investments, esports integration, virtual fan platforms, and generative AI for immersive experiences in training and broadcasting. The regions emerging economies such as China, Japan, India, South Korea and Southeast Asian countries are rapidly adopting AI in sports through increased smartphone and internet penetration.

Key players in the market

Some of the key players in AI in Sports Market include IBM Corporation, SAP SE, SAS Institute Inc., Sportradar AG, Catapult Group International Ltd., Microsoft Corporation, Oracle Corporation, Stats Perform, TruMedia Networks, Hudl, Genius Sports Group, Synergy Sports Technology, PlaySight Interactive, Sportlogiq, Zone7 Ltd., Pixellot Ltd., Veo Technologies ApS and Clutch Technologies.

Key Developments:

In March 2025, IBM Consulting partnered with Scuderia Ferrari to relaunch their app as an AI driven fan platform, using watsonx to transform high-speed race data into immersive, personalized experiences for ~400 million fans. This also enhanced internal workflow efficiency.

In April 2025, SAS expanded its partnership with the Orlando Magic (NBA), integrating SAS Viya's advanced analytics to enhance personalized fan engagement, optimize ticket forecasting, and enable dynamic pricing strategies. Revealed at SAS Innovate 2025, the collaboration also introduced immersive AI-powered experiences, aiming to boost attendance, revenue, and fan satisfaction.

In February 2024, SAP formally unveiled AI-powered enhancements to its SAP Sports One platform in collaboration with German football clubs Hertha BSC and FC Bayern. These integrations use generative AI (LLMs) to automatically summarize scouting reports, compare players, and support multilingual workflows, streamlining talent recruitment during transfer windows

Offerings Covered:

  • Solutions
  • Services

Sports Types Covered:

  • Team Sports
  • Individual Sports
  • Esports

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Technologies Covered:

  • Generative AI
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Other Technologies

Applications Covered:

  • Player Performance Optimization
  • Injury Prevention & Recovery
  • Game Strategy & Scouting
  • Fan Engagement & Personalization
  • Sports Betting & Fantasy Insights
  • Other Applications

End Users Covered:

  • Professional Teams & Clubs
  • Sports Academies
  • Broadcasters & Media
  • Technology Providers
  • Betting & Fantasy Platforms
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI in Sports Market, By Offering

  • 5.1 Introduction
  • 5.2 Solutions
  • 5.3 Services

6 Global AI in Sports Market, By Sports Type

  • 6.1 Introduction
  • 6.2 Team Sports
  • 6.3 Individual Sports
  • 6.4 Esports

7 Global AI in Sports Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud-Based

8 Global AI in Sports Market, By Technology

  • 8.1 Introduction
  • 8.2 Generative AI
  • 8.3 Machine Learning
  • 8.4 Computer Vision
  • 8.5 Natural Language Processing
  • 8.6 Other Technologies

9 Global AI in Sports Market, By Application

  • 9.1 Introduction
  • 9.2 Player Performance Optimization
  • 9.3 Injury Prevention & Recovery
  • 9.4 Game Strategy & Scouting
  • 9.5 Fan Engagement & Personalization
  • 9.6 Sports Betting & Fantasy Insights
  • 9.7 Other Applications

10 Global AI in Sports Market, By End User

  • 10.1 Introduction
  • 10.2 Professional Teams & Clubs
  • 10.3 Sports Academies
  • 10.4 Broadcasters & Media
  • 10.5 Technology Providers
  • 10.6 Betting & Fantasy Platforms
  • 10.7 Other End Users

11 Global AI in Sports Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 IBM Corporation
  • 13.2 SAP SE
  • 13.3 SAS Institute Inc.
  • 13.4 Sportradar AG
  • 13.5 Catapult Group International Ltd.
  • 13.6 Microsoft Corporation
  • 13.7 Oracle Corporation
  • 13.8 Stats Perform
  • 13.9 TruMedia Networks
  • 13.10 Hudl
  • 13.11 Genius Sports Group
  • 13.12 Synergy Sports Technology
  • 13.13 PlaySight Interactive
  • 13.14 Sportlogiq
  • 13.15 Zone7 Ltd.
  • 13.16 Pixellot Ltd.
  • 13.17 Veo Technologies ApS
  • 13.18 Clutch Technologies

List of Tables

  • Table 1 Global AI in Sports Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI in Sports Market Outlook, By Offering (2024-2032) ($MN)
  • Table 3 Global AI in Sports Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI in Sports Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global AI in Sports Market Outlook, By Sports Type (2024-2032) ($MN)
  • Table 6 Global AI in Sports Market Outlook, By Team Sports (2024-2032) ($MN)
  • Table 7 Global AI in Sports Market Outlook, By Individual Sports (2024-2032) ($MN)
  • Table 8 Global AI in Sports Market Outlook, By Esports (2024-2032) ($MN)
  • Table 9 Global AI in Sports Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 10 Global AI in Sports Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 11 Global AI in Sports Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 12 Global AI in Sports Market Outlook, By Technology (2024-2032) ($MN)
  • Table 13 Global AI in Sports Market Outlook, By Generative AI (2024-2032) ($MN)
  • Table 14 Global AI in Sports Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 15 Global AI in Sports Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 16 Global AI in Sports Market Outlook, By Natural Language Processing (2024-2032) ($MN)
  • Table 17 Global AI in Sports Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 18 Global AI in Sports Market Outlook, By Application (2024-2032) ($MN)
  • Table 19 Global AI in Sports Market Outlook, By Player Performance Optimization (2024-2032) ($MN)
  • Table 20 Global AI in Sports Market Outlook, By Injury Prevention & Recovery (2024-2032) ($MN)
  • Table 21 Global AI in Sports Market Outlook, By Game Strategy & Scouting (2024-2032) ($MN)
  • Table 22 Global AI in Sports Market Outlook, By Fan Engagement & Personalization (2024-2032) ($MN)
  • Table 23 Global AI in Sports Market Outlook, By Sports Betting & Fantasy Insights (2024-2032) ($MN)
  • Table 24 Global AI in Sports Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 25 Global AI in Sports Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global AI in Sports Market Outlook, By Professional Teams & Clubs (2024-2032) ($MN)
  • Table 27 Global AI in Sports Market Outlook, By Sports Academies (2024-2032) ($MN)
  • Table 28 Global AI in Sports Market Outlook, By Broadcasters & Media (2024-2032) ($MN)
  • Table 29 Global AI in Sports Market Outlook, By Technology Providers (2024-2032) ($MN)
  • Table 30 Global AI in Sports Market Outlook, By Betting & Fantasy Platforms (2024-2032) ($MN)
  • Table 31 Global AI in Sports Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.