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市场调查报告书
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1798031

2032 年体育市场人工智慧预测：按产品、运动类型、部署模式、技术、应用、最终用户和地区进行全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球运动人工智慧市场预计在 2025 年达到 55.3 亿美元，到 2032 年将达到 301.2 亿美元，预测期内的复合年增长率为 27.39%。

体育领域的人工智慧 (AI) 是指应用先进的演算法、机器学习和数据分析来提升运动表现、教练指导、管理和球迷参与等各个方面。 AI 系统处理来自穿戴式装置、摄影机和感测器的大量数据，以分析运动员表现、预测结果并优化策略。它们还能协助预防伤病、发掘人才并提供个人化训练计画。此外，AI 还透过视讯助理裁判 (VAR) 等技术提高裁判的准确性，并自动为媒体创作体育内容。

进阶游戏策略优化

这项技术使教练和球员能够即时评估对手的比赛模式、优势和劣势。人工智慧主导的洞察能够在比赛中进行动态调整，从而提升整体表现。预测模型透过模拟潜在的比赛场景来增强训练效果。这项技术支援基于数据的决策，并减少对直觉的依赖。因此，体育组织获得了竞争优势，并推动了人工智慧解决方案的采用。

资料隐私和安全问题

防止运动员敏感表现和健康数据被滥用需要严格的保护。违规和未授权存取可能会导致运动员、团队和组织失去信任。遵守复杂的资料保护法也使执法更加困难。由于这些担忧，相关人员不愿全面采用人工智慧解决方案。结果，市场扩张和创新显着放缓。

穿戴式装置和物联网装置的普及率不断提高

穿戴式装置和物联网装置收集大量数据，例如心率、运动模式和疲劳程度，人工智慧会分析这些数据，从而获得切实可行的洞察。教练和训练员可以利用这些资讯来优化训练、预防伤害并改善比赛策略。物联网设备还透过互动体验和即时统计数据提升了球迷的参与度。穿戴式装置和人工智慧的结合也支援个人化训练计画。这些技术协同效应正在推动全球对人工智慧体育解决方案的需求。

抵制技术采用

许多运动员和体育组织不愿从传统方法转向人工智慧解决方案。对资料隐私、准确性和可靠性的担忧引发了信任问题。技术知识的缺乏和高昂的成本进一步阻碍了其应用。这种犹豫限制了人工智慧在策略优化、伤害预防和运动表现分析的应用。因此，市场渗透和创新进展缓慢。

COVID-19的影响

新冠疫情严重扰乱了体育领域人工智慧市场，影响了训练、赛事和球迷参与。封锁和限制措施导致赛事取消，体育活动减少，减缓了人工智慧在即时分析和体能监测方面的应用。然而，这场危机也加速了对远端教练、虚拟体育模拟以及人工智慧驱动的球迷互动工具的需求。为了因应这些限制，各支球队和组织纷纷转向人工智慧进行预测分析、伤病预防和数位互动。这场疫情最终改变了产业重点，并刺激了体育管理和球迷体验领域人工智慧应用的创新。

预计团队运动领域将成为预测期内最大的领域

预计在预测期内，团队运动领域将占据最大的市场占有率，这得益于对高级分析的需求，这些分析旨在提升团队绩效、制定策略并促进球员发展。人工智慧工具可帮助教练和分析师即时追踪球员的动作、疲劳程度和战术模式。这些技术使团队能够根据数据做出有关训练、伤害预防和赛中调整的决策。足球、篮球和板球等运动的流行正在推动对基于人工智慧的解决方案的投资，以获得竞争优势。随着各团队寻求提高效率和成功率，该领域对人工智慧的应用将继续推动市场成长。

预计预测期内，粉丝参与度部分将以最高复合年增长率成长

由于个人化内容、即时统计数据和互动功能提升了观众体验，预计粉丝参与度将在预测期内实现最高成长率。人工智慧工具透过分析粉丝的偏好和行为并提供有针对性的建议，提升了观众满意度。社群媒体整合和人工智慧聊天机器人正在加强球队与球迷之间的联繫。预测分析可帮助体育组织设计客製化宣传活动，以提高粉丝忠诚度。

比最大的地区

这是因为NFL、NBA、MLB和MLS等精英联盟正在大力投资绩效分析、伤病预防工具和球迷参与系统。该地区强大的基础设施、深厚的美国和加拿大人工智慧研究基础以及早期应用文化，正在推动机器学习、电脑视觉和预测分析在球员监控、广播自动化、虚拟观众功能和即时赛程优化方面的应用。新兴发展包括现场说明、自动精彩片段和生成式人工智慧，旨在为球迷内容传送。

复合年增长率最高的地区

预计亚太地区将在预测期内实现最高的复合年增长率，这得益于价格实惠的可穿戴感测器、电脑视觉分析以及针对电子竞技、板球、足球和运动训练的增强型人工智慧广播。本地新兴企业和全球科技公司正在建立研发中心，以客製化软体和硬体解决方案。主要趋势包括政府支持的投资、电子竞技整合、虚拟粉丝平台以及用于训练和广播沉浸式体验的生成式人工智慧。由于智慧型手机和网路普及率的提高，中国、日本、印度、韩国和东南亚国家等新兴经济体正在见证人工智慧在运动领域的快速应用。

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  • 公司简介
    • 对最多三家其他市场参与企业进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 透过产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 二手研究资料
    • 先决条件

第三章市场走势分析

  • 介绍
  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球运动市场人工智慧（按产品提供）

  • 介绍
  • 解决方案
  • 服务

第六章 全球运动人工智慧市场（依运动类型）

  • 介绍
  • 团队运动
  • 个人运动
  • 电竞

第七章 全球运动人工智慧市场（按部署模式）

  • 介绍
  • 本地
  • 云端基础

8. 全球体育市场人工智慧技术

  • 介绍
  • 人工智慧世代
  • 机器学习
  • 电脑视觉
  • 自然语言处理
  • 其他的

第九章：全球运动人工智慧市场（按应用）

  • 介绍
  • 优化参与企业表现
  • 伤害预防和恢復
  • 比赛策略和侦察
  • 粉丝参与和个性化
  • 体育博彩和幻想洞察
  • 其他的

第 10 章：全球运动市场人工智慧（按最终用户）

  • 介绍
  • 专业团队和俱乐部
  • 体育学院
  • 广播公司及媒体
  • 技术提供者
  • 博彩与幻想平台
  • 其他的

第 11 章：全球运动人工智慧市场（按地区）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章：企业概况

  • 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.