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体育人工智慧的全球市场：按产品、按类型、按运动类型、按最终用户、按地区 - 预测到 2030 年
市场调查报告书
商品编码
1618941

体育人工智慧的全球市场：按产品、按类型、按运动类型、按最终用户、按地区 - 预测到 2030 年

AI in Sports Market by Solutions (Performance Analytics, Player Monitoring, Broadcast Management), Technology (Generative AI and Other AI), and End User (Sports Associations, Sports Teams) - Global Forecast to 2030
出版日期: | 出版商: MarketsandMarkets | 英文 285 Pages | 订单完成后即时交付

价格

预计2024年体育人工智慧市场规模将达10.3亿美元，2030年将达26.1亿美元，2024-2030年复合年增长率为16.7%。借助机器学习 (ML) 和其他模型，体育人工智慧的进步使组织能够即时处理大量资料。该技术可以帮助分析球员模式，透过影片和动作感测器研究运动动作，甚至预测球员健康状况以提高表现和管理伤害。此外，运动员可以透过整合 VR 系统来增强他们的 VR 体验，使他们能够在受控环境中进行训练、制定策略和思考，而不受距离和地理的限制。这些创新对于体育协会、运动团队以及媒体和广播组织等最终用户特别有价值，可以帮助他们优化性能、增强粉丝参与度并改善内容传送。

调查范围
调查年份 2019-2030
基准年 2024年
预测期 2025-2030
考虑单位 美元（十亿美元）
按细分市场 按产品、按类型、按运动类型、按最终用户、按地区
目标区域 北美、欧洲、亚太地区、中东/非洲、拉丁美洲

对于粉丝来说，人工智慧可以透过个人化服务、高效的票务系统以及从任何地理位置参与活动的能力来增强体验。就电子竞技而言，人工智慧透过更好地管理玩家排名、改进内容以及模拟视讯游戏中的角色行为来改善游戏体验。这些技术进步正在改变职业运动的动态和观众行为，增加观众互动和沈浸感。

人工智慧透过增强表现评估、球迷参与和策略管理来日益改变篮球运动，使这项运动在采用先进技术方面处于领先地位。 NBA 等联盟已经在利用球员追踪系统等人工智慧驱动的工具来监控位置、管理工作量并改善训练实践。这些工具使球员能够更准确地了解他们的动作和身体需求，从而提高团队的整体表现。教练还可以从基于人工智慧的可穿戴设备和摄影机接收即时分析，以便在比赛期间实施主动策略。

NBA 和微软的伙伴关係将透过人工智慧生成的影像直播精选比赛，这是人工智慧如何提高球迷参与度和内容传送的典型例子。这些人工智慧工具为球迷提供即时、个人化的体验，包括增强的亮点、球员统计数据和比赛见解，从而与运动建立更深入的互动。

篮球运动在全球的流行，尤其是在美国、中国和欧洲等地区，产生了大量资料，这对于不断改进人工智慧模型至关重要。篮球世界的扩张，加上其高资料输出，将加速人工智慧在这项运动中的发展和应用，从而实现更复杂、更有效的解决方案。因此，篮球运动处于人工智慧融入运动的最前沿，也是这项技术演变的领导者。

该报告研究了全球体育市场中的人工智慧，包括按产品、类型、运动类型、最终用户、地区和进入市场的公司概况分類的趋势。

目录

第一章 简介

第二章调查方法

第三章执行摘要

第 4 章重要考察

第五章市场概况及产业趋势

  • 介绍
  • 市场动态
  • 人工智慧在体育解决方案和服务中的发展简史
  • 体育领域的人工智慧：生态系统分析/市场地图
  • 案例研究分析
  • 供应链分析
  • 规划设计
  • 监管状况
  • 价格分析
  • 技术分析
  • 专利分析
  • 波特五力分析
  • 影响客户业务的趋势/干扰
  • 主要相关人员和采购标准
  • 主要会议及活动
  • 体育领域人工智慧的技术蓝图
  • 人工智慧在体育领域的最佳实践
  • 目前的经营模式和新的经营模式
  • 体育领域的人工智慧：工具、框架与技术
  • HS编码分析：电子积体电路及其元件
  • 投资金筹措场景
  • 生成式人工智慧对体育领域人工智慧的影响

第六章 体育领域的人工智慧市场（依产品分类）

  • 介绍
  • 解决方案
  • 提高粉丝参与度和体验
  • 服务

第七章 体育领域的人工智慧市场，依类型

  • 介绍
  • 人工智慧世代
  • 其他的

第 8 章 体育领域的人工智慧市场（按运动类型）

  • 介绍
  • 个人赛
  • 团队运动
  • 电竞

第 9 章 体育领域的人工智慧市场，依最终用户划分

  • 介绍
    • 最终用户：市场驱动力
    • 体育协会
    • 运动团队
    • 体育媒体与广播
    • 其他的

第 10 章 体育领域的人工智慧市场（按地区）

  • 介绍
  • 北美洲
    • 北美：宏观经济展望
    • 美国
    • 加拿大
  • 欧洲
    • 欧洲：宏观经济前景
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 北欧国家
    • 其他的
  • 亚太地区
    • 亚太地区：宏观经济展望
    • 中国
    • 日本
    • 印度
    • 澳洲和纽西兰
    • 韩国
    • 东南亚
    • 其他的
  • 中东/非洲
    • 中东和非洲：宏观经济前景
    • 阿拉伯聯合大公国
    • 沙乌地阿拉伯
    • 科威特
    • 巴林
    • 南非
    • 其他的
  • 拉丁美洲
    • 拉丁美洲：宏观经济前景
    • 巴西
    • 墨西哥
    • 阿根廷
    • 其他的

第十一章竞争格局

  • 介绍
  • 主要参与企业的策略/优势，2021-2024
  • 2019-2023年收益分析
  • 企业评估矩阵：主要参与企业，2023
  • 企业评估矩阵：Start-Ups/小型企业，2023 年
  • 竞争格局及趋势
  • 品牌/产品比较分析
  • 体育市场主要AI供应商企业评价及财务指标

第十二章 公司简介

  • 主要参与企业
    • MICROSOFT
    • IBM
    • ORACLE
    • AWS
    • SAP SE
    • STATS PERFORM
    • SPORTRADAR AG
    • SAS INSTITUTE
    • INTEL
    • EXLSERVICE HOLDINGS
    • HUDL
    • GLOBALSTEP
    • HCL TECHNOLOGIES
    • ZEBRA TECHNOLOGIES
    • SALESFORCE
  • Start-Ups/小型企业
    • CATAPULT
    • KITMAN LABS
    • SPORTLOGIQ
    • CHYRONHEGO CORPORATION
    • GENIUS SPORTS
    • PLAYSIGHT
    • QUANTIPHI
    • SCISPORTS
    • TRUMEDIA NETWORKS
    • SPIIDEO

第十三章邻近/相关市场

第十四章附录

Product Code: TC 9249

The AI in Sports market was estimated to be USD 1.03 billion in 2024 to USD 2.61 billion by 2030 at a compound annual growth rate (CAGR) of 16.7% from 2024 to 2030. With the help of Machine Learning (ML) and other models, advancements in sports AI are enabling organizations to process vast volumes of data in real-time. This technology helps analyze player patterns, study sports motions from videos and motion sensors, and even predict an athlete's health status for performance improvement and injury management. Athletes can also enhance their VR experience through AI, as it integrates VR systems that allow them to train, strategize, and think on their feet in a controlled environment, free from the limitations of distance or geography. These innovations are particularly valuable to end users like sports associations, sports teams, and media & broadcasting organizations, helping them optimize performance, enhance fan engagement, and improve content delivery.

Scope of the Report
Years Considered for the Study2019-2030
Base Year2024
Forecast Period2025-2030
Units ConsideredUSD (Billion)
SegmentsBy Offering, Technology, Sports Type, End User, and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, and Latin America

In the case of fans, AI allows for enhanced experience in the form of personalized offerings, efficient ticketing systems, and attendance to events from any geographical location. In e-Sports AI enhances the experience of playing by managing player ranks well, improving the content, and simulating actions of characters in the video game. These technological improvements are changing the dynamics of professional sports as well as the behavior of the audiences, enhancing their interaction and immersion.

"By Team Sports, Basketball sport is expected to have the largest market size during the forecast period." AI is increasingly transforming basketball by enhancing performance assessment, fan engagement, and strategy management, positioning the sport to lead in adopting advanced technologies. Leagues like the NBA are already utilizing AI-driven tools such as player tracking systems to monitor positions, manage workloads, and improve training exercises. These tools enable more accurate insights into player movements and physical demands, enhancing overall team performance. Coaches also benefit from AI-based wearable devices and cameras that provide real-time analysis, allowing them to implement proactive strategies during games.

The partnership between the NBA and Microsoft, which streams select games with AI-generated highlights, is a prime example of how AI is improving fan engagement and content delivery. These AI tools offer fans real-time, personalized experiences, such as enhanced highlights, player stats, and game insights, creating deeper interaction with the sport.

The worldwide popularity of basketball, particularly in regions like the US, China, and Europe, generates vast amounts of data, which is vital for continuously improving AI models. The global reach of basketball, combined with its high data output, accelerates the development and application of AI in the sport, allowing for more refined and effective solutions. As a result, basketball stands at the forefront of AI integration among sports, making it a leader in this technological evolution.

"By End User segment, the Sports Media & Broadcasting will witness the highest growth during the forecast period." Within the realm of AI in sports, the media and broadcasting segment is expected to experience significant growth in the coming years. This growth is driven by AI's ability to simplify and enhance the fan experience, particularly for those watching from home. For example, AI can enable near real-time content customization, quickly retrieve relevant data during events, and generate concise highlight reels of ongoing matches. Companies like IBM and AWS are already using AI to produce engaging highlight clips that captivate viewers and maintain excitement throughout the game. This technology not only improves the viewing experience but also increases fan engagement and retention.

AI also enables the integration of Virtual Reality (VR) and Augmented Reality (AR) technologies, facilitating spatial interactions that transcend physical space limitations and offer real-time data visualization during events, thereby enhancing fan engagement. Moreover, the ability to provide commentary in several languages through AI technology during the Olympic Games allows the audience reach to be maximized. Furthermore, AI targeted advertising boosts sales for television stations. Additionally, due to high spending trend on the streaming services on rise will further boost the growth of the this segment.

"Asia Pacific to witness highest growth during the forecast period."

As a result of the digital transformation in countries such as China, Japan, and India, it is estimated that the size of the APAC will be the largest for the AI in Sports market. This is due to the rising trend in employing AI in player monitoring, fan engagement, performance enhancement, devising game strategies, and in the facilitation of other sport-related activities. The advanced smart stadiums and AI analytics investment by the sporting organizations is also responsible for the growth of the market in this region. For example, Epic Games provided AI-powered solutions that enabled real-time interaction with the audience, a significant achievement given the challenges posed by the Tokyo 2020 Satellite Olympics. Additionally, the growing popularity of sports like cricket, soccer, esports, and others in the region requires the use of Artificial Intelligence (AI) applications, such as player tracking systems, injury prediction technology, and data-driven strategy tools.

Furthermore, the young demographics in APAC, with high average access to the internet and high usage of wearables in the market, also increases the conviction for AI sporting activities. The growing population of e-Sports and gaming in China also presents a conducive environment for the acceptance of Integrating AI with sports. Owing to these factors, the region is expected to witness the highest growth during the forecast period.

Breakdown of primaries

The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:

  • By Company Type: Tier 1 - 62%, Tier 2 - 23%, and Tier 3 - 15%
  • By Designation: C-level -50%, D-level - 30%, and Others - 20%
  • By Region: North America - 38%, Europe - 15%, Asia Pacific - 35%, Middle East & Africa - 7%, and Latin America- 5%.

The players in the AI in Sports market include Cisco (US), IBM (US), Intel (US), Microsoft (US), AWS (US), SAP SE (Germany), Ericsson (Sweden), Oracle (US), Stats Perform (US), Tech Mahindra (India), Sportradar AG (Switzerland), HCL Technologies (India), Extreme Networks (US), Salesforce (US), SAS Institute (US), Catapult Group (Australia), Genius Sports (UK), Kitman Labs (Ireland), PlaySight (Israel), Quantiphi (US), SciSports (Netherlands), Spiideo (Sweden), Sportlogiq (Canada), ChyronHego Corporation (US), TruMedia Networks (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their AI in Sports market footprint.

Research Coverage

The market study covers the AI in Sports market size across different segments. It aims to estimate the market size and the growth potential across different segments, including offering, technology, sports , end user, and region. The offering includes solutions and services. Solutions are segregated into Performance Analytics, Player Monitoring, Game Strategy and Coaching Solutions, Fan Engagement and Experience Enhancement, Broadcast Management, and Other Solutions. The other segmentation is the technology, which includes Generative AI and Other AI types. The sports type segmentation includes Individual Sports, Team Sports, and e-Sports. The end user segmentation includes Sports Associations, Sports Teams, Sports Media & Broadcasting, and other end users. The regional analysis of the AI in Sports market covers North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America. The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.

Key Benefits of Buying the Report

The report will help market leaders and new entrants with information on the closest approximations of the global AI in Sports market's revenue numbers and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

1. Analysis of key drivers (Advancements in AI and ML, Increasing Data Availability, Rising Demand for Personalized Fan Experiences, Enhanced Athlete Performance and Injury Prevention, Investment in eSports), opportunities (Expansion of AI in Training and Scouting, Growth in Virtual and Augmented Reality, AI-Driven Health and Fitness Solutions, AI for Smart Stadiums), and challenges (Lack of Skilled Professionals, Ethical and Fairness Issues, Regulatory and Compliance Barriers) influencing the growth of the AI in Sports market.

2. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in Sports market.

3. Market Development: Comprehensive information about lucrative markets - the report analyses the AI in Sports market across various regions.

4. Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in Sports market.

5. Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players Cisco (US), IBM (US), Intel (US), Microsoft (US), AWS (US), SAP SE (Germany), Ericsson (Sweden), Oracle (US), Stats Perform (US), Tech Mahindra (India), Sportradar AG (Switzerland), HCL Technologies (India), Extreme Networks (US), Salesforce (US), SAS Institute (US), Catapult Group (Australia), Genius Sports (UK), Kitman Labs (Ireland), PlaySight (Israel), Quantiphi (US), SciSports (Netherlands), Spiideo (Sweden), Sportlogiq (Canada), ChyronHego Corporation (US), TruMedia Networks (US).

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.4 YEARS CONSIDERED
  • 1.5 CURRENCY CONSIDERED
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Primary interviews with experts
      • 2.1.2.2 Breakdown of primary profiles
      • 2.1.2.3 Key insights from industry experts
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 TOP-DOWN APPROACH
    • 2.2.2 BOTTOM-UP APPROACH
    • 2.2.3 AI IN SPORTS MARKET ESTIMATION: DEMAND-SIDE ANALYSIS
  • 2.3 DATA TRIANGULATION
  • 2.4 RISK ASSESSMENT
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN SPORTS MARKET
  • 4.2 AI IN SPORTS MARKET, BY OFFERING, 2024
  • 4.3 AI IN SPORTS MARKET, BY SERVICE
  • 4.4 AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE
  • 4.5 AI IN SPORTS MARKET, BY SOLUTION
  • 4.6 AI IN SPORTS MARKET, BY TYPE
  • 4.7 AI IN SPORTS MARKET, BY SPORTS TYPE
  • 4.8 AI IN SPORTS MARKET, BY END USER
  • 4.9 NORTH AMERICA: AI IN SPORTS MARKET, BY OFFERING AND TYPE

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Enhanced player performance analytics driving competitive advantage
      • 5.2.1.2 Improved fan engagement resulting in increased revenue generation
      • 5.2.1.3 Advanced injury prediction tools leading to better athlete safety
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 High implementation costs limiting widespread adoption
      • 5.2.2.2 Data privacy concerns hindering trust in AI solutions
      • 5.2.2.3 Limited AI expertise creating barriers for smaller sports organizations
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 AI-driven personalization unlocking new revenue streams in fan experiences
      • 5.2.3.2 Growth in e-sports fostering innovation in AI applications
      • 5.2.3.3 Integration of wearable technology enhancing real-time performance insights
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Complexity in integrating AI with existing sports infrastructure
      • 5.2.4.2 Potential algorithmic bias impacting fairness in sports analytics
      • 5.2.4.3 Evolving regulatory frameworks creating uncertainty for AI deployment
  • 5.3 BRIEF HISTORY OF EVOLUTION OF AI IN SPORTS SOLUTIONS AND SERVICES
  • 5.4 AI IN SPORTS MARKET: ECOSYSTEM ANALYSIS/MARKET MAP
  • 5.5 CASE STUDY ANALYSIS
    • 5.5.1 CATAPULT ENHANCED ATHLETE PERFORMANCE TRACKING WITH ADVANCED WEARABLE TECH SOLUTIONS
    • 5.5.2 ORLANDO MAGIC LEVERAGED SAS FOR DATA-DRIVEN FAN ENGAGEMENT AND BUSINESS INSIGHTS
    • 5.5.3 VODAFONE BOOSTED ENGAGEMENT WITH REAL-TIME AI INSIGHTS FROM STATS PERFORM'S TECHNOLOGY
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 PLANNING AND DESIGNING
  • 5.8 REGULATORY LANDSCAPE
    • 5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • 5.8.1.1 FIFA (Federation Internationale de Football Association)
      • 5.8.1.2 International Olympic Committee (IOC)
      • 5.8.1.3 European Union (EU)
    • 5.8.2 KEY REGULATIONS
      • 5.8.2.1 North America
        • 5.8.2.1.1 US and Canada
      • 5.8.2.2 Europe
        • 5.8.2.2.1 UK, France, and Germany
      • 5.8.2.3 Asia Pacific
        • 5.8.2.3.1 Australia
        • 5.8.2.3.2 China
      • 5.8.2.4 Middle East & Africa
        • 5.8.2.4.1 UAE
      • 5.8.2.5 Latin America
        • 5.8.2.5.1 Brazil
  • 5.9 PRICING ANALYSIS
    • 5.9.1 PRICING OF SOLUTIONS, BY KEY PLAYER, 2023
    • 5.9.2 INDICATIVE PRICING ANALYSIS, BY SPORTS TYPE, 2023
  • 5.10 TECHNOLOGY ANALYSIS
    • 5.10.1 KEY TECHNOLOGIES
      • 5.10.1.1 Machine Learning & Deep Learning
      • 5.10.1.2 Computer Vision
      • 5.10.1.3 Natural Language Processing (NLP)
      • 5.10.1.4 Predictive Analytics
      • 5.10.1.5 Robotic Process Automation (RPA)
    • 5.10.2 COMPLEMENTARY TECHNOLOGIES
      • 5.10.2.1 Augmented Reality (AR)/Virtual Reality (VR)
      • 5.10.2.2 Sensor Integration Technology
      • 5.10.2.3 Big Data Analytics
      • 5.10.2.4 Cloud Computing
      • 5.10.2.5 Cybersecurity
    • 5.10.3 ADJACENT TECHNOLOGIES
      • 5.10.3.1 Blockchain
      • 5.10.3.2 5G Connectivity
      • 5.10.3.3 Edge Computing
      • 5.10.3.4 Digital Twins
  • 5.11 PATENT ANALYSIS
  • 5.12 PORTER'S FIVE FORCES ANALYSIS
    • 5.12.1 THREAT OF NEW ENTRANTS
    • 5.12.2 THREAT OF SUBSTITUTES
    • 5.12.3 BARGAINING POWER OF SUPPLIERS
    • 5.12.4 BARGAINING POWER OF BUYERS
    • 5.12.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
  • 5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.14.2 BUYING CRITERIA
  • 5.15 KEY CONFERENCES AND EVENTS
  • 5.16 TECHNOLOGY ROADMAP FOR AI IN SPORTS MARKET
    • 5.16.1 SHORT-TERM ROADMAP (2023-2025)
    • 5.16.2 MID-TERM ROADMAP (2026-2028)
    • 5.16.3 LONG-TERM ROADMAP (2029-2030)
  • 5.17 BEST PRACTICES IN AI IN SPORTS MARKET
    • 5.17.1 PERFORMANCE ANALYSIS AND INJURY PREVENTION
    • 5.17.2 AI-POWERED FAN ENGAGEMENT
    • 5.17.3 REAL-TIME GAME ANALYTICS AND STRATEGY OPTIMIZATION
    • 5.17.4 AUTOMATED CONTENT CREATION
    • 5.17.5 TALENT SCOUTING AND RECRUITMENT
  • 5.18 CURRENT AND EMERGING BUSINESS MODELS
    • 5.18.1 SUBSCRIPTION-BASED ANALYTICS PLATFORMS
    • 5.18.2 DATA-AS-A-SERVICE (DAAS)
    • 5.18.3 SPONSORSHIP AND ADVERTISING OPTIMIZATION (AI-DRIVEN)
  • 5.19 AI IN SPORTS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
  • 5.20 HS CODE ANALYSIS: ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542)
    • 5.20.1 EXPORT SCENARIO OF ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542)
    • 5.20.2 IMPORT SCENARIO OF ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542)
  • 5.21 INVESTMENT AND FUNDING SCENARIO
  • 5.22 IMPACT OF GENERATIVE AI ON AI IN SPORTS MARKET
    • 5.22.1 TOP USE CASES AND MARKET POTENTIAL
      • 5.22.1.1 Key use cases
    • 5.22.2 BEST PRACTICES
      • 5.22.2.1 Sports Analytics Industry
      • 5.22.2.2 Fan Engagement Industry
      • 5.22.2.3 Injury Prevention & Rehabilitation Industry
    • 5.22.3 CASE STUDIES OF GENERATIVE AI IMPLEMENTATION
      • 5.22.3.1 Global Sports Streaming Service Enhanced Viewer Engagement with AI-generated Content
      • 5.22.3.2 Football Team Optimized Player Performance and Injury Prevention Using AI-driven Data Insights
      • 5.22.3.3 Sports Apparel Brand Increased Merchandise Sales by Creating AI-generated Custom Designs
    • 5.22.4 CLIENT READINESS AND IMPACT ASSESSMENT
      • 5.22.4.1 Client A: Major Football Club
      • 5.22.4.2 Client B: Global Sports Streaming Platform
      • 5.22.4.3 Client C: Professional Basketball Team

6 AI IN SPORTS MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 OFFERING: MARKET DRIVERS
  • 6.2 SOLUTIONS
    • 6.2.1 PERFORMANCE ANALYTICS
      • 6.2.1.1 AI-based performance analytics assess player and team performance to improve gameplay and prevent injuries
    • 6.2.2 PLAYER MONITORING
      • 6.2.2.1 AI-powered player monitoring tracks health, fitness, and performance metrics, helping teams manage workload and prevent injuries
    • 6.2.3 GAME STRATEGY & COACHING SOLUTIONS
      • 6.2.3.1 AI tools optimize game strategies and coaching methods to enhance decision-making and performance during competitions
  • 6.3 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT
    • 6.3.1 AI SOLUTIONS ENHANCE FAN EXPERIENCES BY PROVIDING REAL-TIME STATS, PERSONALIZED INTERACTIONS, AND IMMERSIVE FEATURES
    • 6.3.2 BROADCAST MANAGEMENT
      • 6.3.2.1 AI-driven broadcast solutions optimize content delivery, improve viewer experience, and streamline broadcasting processes
    • 6.3.3 OTHER SOLUTIONS
  • 6.4 SERVICES
    • 6.4.1 PROFESSIONAL SERVICES
    • 6.4.2 TRAINING & CONSULTING
      • 6.4.2.1 Consulting services help sports organizations plan and implement AI strategies tailored to their needs, ensuring optimal adoption and use of AI solutions
    • 6.4.3 SYSTEM INTEGRATION & IMPLEMENTATION
      • 6.4.3.1 System integration services deploy AI solutions seamlessly within existing sports operations, ensuring smooth adoption and functionality
    • 6.4.4 SUPPORT & MAINTENANCE
      • 6.4.4.1 Support and maintenance services ensure AI systems function properly over time, providing updates, troubleshooting, and ongoing monitoring
    • 6.4.5 MANAGED SERVICES
      • 6.4.5.1 Outsourced management services handle the day-to-day running and optimization of AI systems, enabling sports organizations to focus on core operations

7 AI IN SPORTS MARKET, BY TYPE

  • 7.1 INTRODUCTION
    • 7.1.1 TYPE: MARKET DRIVERS
  • 7.2 GENERATIVE AI
  • 7.3 OTHER AI
    • 7.3.1 MACHINE LEARNING
      • 7.3.1.1 Machine learning enables systems to learn from data and make predictions, optimizing player performance, injury prevention, and fan insights
    • 7.3.2 NATURAL LANGUAGE PROCESSING
      • 7.3.2.1 NLP allows machines to understand and interact with human language, improving fan engagement and automating commentary and content analysis
    • 7.3.3 COMPUTER VISION
      • 7.3.3.1 Computer vision interprets visual data, enabling accurate analysis of game footage and player movements, improving coaching and officiating
    • 7.3.4 PREDICTIVE ANALYTICS
      • 7.3.4.1 Predictive analytics uses historical data and algorithms to forecast future trends, optimizing strategies, predicting game outcomes, and analyzing player performance

8 AI IN SPORTS MARKET, BY SPORTS TYPE

  • 8.1 INTRODUCTION
    • 8.1.1 SPORTS TYPE: MARKET DRIVERS
  • 8.2 INDIVIDUAL SPORTS
    • 8.2.1 BOXING
      • 8.2.1.1 Advanced analytics and motion tracking enable boxers to improve techniques and track opponent tendencies
    • 8.2.2 TENNIS
      • 8.2.2.1 AI-powered tools assist players in analyzing match performance and predicting opponent strategies
    • 8.2.3 RACING
      • 8.2.3.1 AI systems optimize vehicle performance and driver strategies for competitive racing
    • 8.2.4 ATHLETICS
      • 8.2.4.1 Biometric monitoring and performance analytics aid athletes in achieving peak physical output
    • 8.2.5 OTHERS
  • 8.3 TEAM SPORTS
    • 8.3.1 CRICKET
      • 8.3.1.1 AI assists in analyzing player and team data to improve batting and bowling strategies
    • 8.3.2 SOCCER
      • 8.3.2.1 Real-time analytics and tactical insights revolutionize team management and gameplay
    • 8.3.3 AMERICAN FOOTBALL/RUGBY
      • 8.3.3.1 AI helps strategize, monitor player safety, and enhance on-field performance
    • 8.3.4 BASKETBALL
      • 8.3.4.1 Advanced analytics optimize shooting, defense, and player rotations for improved results
    • 8.3.5 BASEBALL
      • 8.3.5.1 AI-driven tools refine strategy, from batting lineups to field positioning
    • 8.3.6 HOCKEY
      • 8.3.6.1 Video analysis and wearable tracking support tactical decisions and player well-being
    • 8.3.7 OTHERS
  • 8.4 E-SPORTS

9 AI IN SPORTS MARKET, BY END USER

  • 9.1 INTRODUCTION
    • 9.1.1 END USER: MARKET DRIVERS
    • 9.1.2 SPORTS ASSOCIATIONS
      • 9.1.2.1 AI empowers sports associations in fair play, logistical management, and fan engagement, enhancing governance and global event execution
    • 9.1.3 SPORTS TEAMS
      • 9.1.3.1 Sports teams integrate AI for performance analytics, injury prevention, and player recruitment, ensuring competitive advantage
    • 9.1.4 SPORTS MEDIA & BROADCASTING
      • 9.1.4.1 AI revolutionizes sports broadcasting by automating content creation, enhancing fan engagement, and delivering tailored experiences
    • 9.1.5 OTHER END USERS

10 AI IN SPORTS MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
    • 10.2.2 US
      • 10.2.2.1 US witnesses widespread AI integration in professional leagues and fan engagement
    • 10.2.3 CANADA
      • 10.2.3.1 Canada emphasizes athlete training and grassroots development with AI technologies
  • 10.3 EUROPE
    • 10.3.1 EUROPE: MACROECONOMIC OUTLOOK
    • 10.3.2 UK
      • 10.3.2.1 UK excels in leveraging AI for elite sports broadcasting and officiating
    • 10.3.3 GERMANY
      • 10.3.3.1 Germany focuses on wearable technology and fan-centric AI applications
    • 10.3.4 FRANCE
      • 10.3.4.1 France integrates AI in immersive fan experiences and sports event management
    • 10.3.5 ITALY
      • 10.3.5.1 Italy invests in AI for enhanced coaching systems and automated highlights
    • 10.3.6 SPAIN
      • 10.3.6.1 Spain emphasizes on AI in talent development and real-time match applications
    • 10.3.7 NORDIC COUNTRIES
      • 10.3.7.1 Nordic countries lead in AI for winter sports and sustainable stadium technologies
    • 10.3.8 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
    • 10.4.2 CHINA
      • 10.4.2.1 China is leveraging AI to boost player performance and enhance fan engagement in sports
    • 10.4.3 JAPAN
      • 10.4.3.1 Japan is applying AI for player health management and improving fan experiences in sports
    • 10.4.4 INDIA
      • 10.4.4.1 India is using AI to revolutionize sports analytics and player development
    • 10.4.5 AUSTRALIA & NEW ZEALAND
      • 10.4.5.1 Australia & New Zealand are integrating AI to optimize performance and fan interactions in sports
    • 10.4.6 SOUTH KOREA
      • 10.4.6.1 South Korea is adopting AI for real-time sports analytics and e-sports advancements
    • 10.4.7 SOUTHEAST ASIA
      • 10.4.7.1 Southeast Asia is embracing AI to improve sports performance and fan engagement
    • 10.4.8 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    • 10.5.2 UAE
      • 10.5.2.1 UAE accelerates AI integration in sports with smart stadium initiatives and enhanced fan engagement platforms
    • 10.5.3 KSA
      • 10.5.3.1 Saudi Arabia's focus on Vision 2030, hosting mega-events, and sports technology to drive AI adoption
    • 10.5.4 KUWAIT
      • 10.5.4.1 Kuwait emphasizes AI in grassroots sports, talent development, and local sports programs
    • 10.5.5 BAHRAIN
      • 10.5.5.1 Bahrain leverages AI for advanced event management, youth sports development, and immersive fan experiences
    • 10.5.6 SOUTH AFRICA
      • 10.5.6.1 South Africa leverages AI for athlete performance enhancement, injury prevention, and sports analytics
    • 10.5.7 REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
    • 10.6.2 BRAZIL
      • 10.6.2.1 Brazil is at forefront of AI adoption in sports, with AI technologies revolutionizing player training, tactical analysis, and injury prevention
    • 10.6.3 MEXICO
      • 10.6.3.1 In Mexico, AI is not just reshaping football but also transforming other sports such as Lucha Libre
    • 10.6.4 ARGENTINA
      • 10.6.4.1 In Argentina, AI technologies are being used to refine sports training, analyze player performance, and enhance fan experience
    • 10.6.5 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2024
  • 11.3 REVENUE ANALYSIS, 2019-2023
  • 11.4 MARKET SHARE ANALYSIS, 2023
    • 11.4.1 MARKET RANKING ANALYSIS
  • 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 11.5.1 STARS
    • 11.5.2 EMERGING LEADERS
    • 11.5.3 PERVASIVE PLAYERS
    • 11.5.4 PARTICIPANTS
    • 11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
  • 11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 11.6.1 PROGRESSIVE COMPANIES
    • 11.6.2 RESPONSIVE COMPANIES
    • 11.6.3 DYNAMIC COMPANIES
    • 11.6.4 STARTING BLOCKS
    • 11.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES,2021-2024
      • 11.6.5.1 Detailed list of key startups/SMEs
      • 11.6.5.2 Competitive benchmarking of key startups/SMEs
  • 11.7 COMPETITIVE SCENARIO AND TRENDS
    • 11.7.1 PRODUCT LAUNCHES AND ENHANCEMENTS
    • 11.7.2 DEALS
  • 11.8 BRAND/PRODUCT COMPARISON ANALYSIS
  • 11.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY AI IN SPORTS MARKET PROVIDERS

12 COMPANY PROFILES

  • 12.1 KEY PLAYERS
    • 12.1.1 MICROSOFT
      • 12.1.1.1 Business overview
      • 12.1.1.2 Products/Solutions/Services offered
      • 12.1.1.3 Recent developments
        • 12.1.1.3.1 Product launches
        • 12.1.1.3.2 Deals
      • 12.1.1.4 MnM view
        • 12.1.1.4.1 Right to win
        • 12.1.1.4.2 Strategic choices
        • 12.1.1.4.3 Weaknesses and competitive threats
    • 12.1.2 IBM
      • 12.1.2.1 Business overview
      • 12.1.2.2 Products/Solutions/Services offered
      • 12.1.2.3 Recent developments
        • 12.1.2.3.1 Product launches
        • 12.1.2.3.2 Deals
      • 12.1.2.4 MnM view
        • 12.1.2.4.1 Right to win
        • 12.1.2.4.2 Strategic choices
        • 12.1.2.4.3 Weaknesses and competitive threats
    • 12.1.3 ORACLE
      • 12.1.3.1 Business overview
      • 12.1.3.2 Products/Solutions/Services offered
      • 12.1.3.3 Recent developments
        • 12.1.3.3.1 Product launches
        • 12.1.3.3.2 Deals
      • 12.1.3.4 MnM view
        • 12.1.3.4.1 Right to win
        • 12.1.3.4.2 Strategic choices
        • 12.1.3.4.3 Weaknesses and competitive threats
    • 12.1.4 AWS
      • 12.1.4.1 Business overview
      • 12.1.4.2 Products/Solutions/Services offered
      • 12.1.4.3 Recent developments
        • 12.1.4.3.1 Product launches
        • 12.1.4.3.2 Deals
      • 12.1.4.4 MnM view
        • 12.1.4.4.1 Right to win
        • 12.1.4.4.2 Strategic choices
        • 12.1.4.4.3 Weaknesses and competitive threats
    • 12.1.5 SAP SE
      • 12.1.5.1 Business overview
      • 12.1.5.2 Products/Solutions/Services offered
      • 12.1.5.3 Recent developments
        • 12.1.5.3.1 Deals
      • 12.1.5.4 MnM view
        • 12.1.5.4.1 Right to win
        • 12.1.5.4.2 Strategic choices
        • 12.1.5.4.3 Weaknesses and competitive threats
    • 12.1.6 STATS PERFORM
      • 12.1.6.1 Business overview
      • 12.1.6.2 Products/Solutions/Services offered
      • 12.1.6.3 Recent developments
        • 12.1.6.3.1 Product launches
        • 12.1.6.3.2 Deals
    • 12.1.7 SPORTRADAR AG
      • 12.1.7.1 Business overview
      • 12.1.7.2 Products/Solutions/Services offered
      • 12.1.7.3 Recent developments
        • 12.1.7.3.1 Product launches
        • 12.1.7.3.2 Deals
    • 12.1.8 SAS INSTITUTE
      • 12.1.8.1 Business overview
      • 12.1.8.2 Products/Solutions/Services offered
      • 12.1.8.3 Recent developments
        • 12.1.8.3.1 Deals
    • 12.1.9 INTEL
      • 12.1.9.1 Business overview
      • 12.1.9.2 Products/Solutions/Services offered
      • 12.1.9.3 Recent developments
        • 12.1.9.3.1 Product launches
        • 12.1.9.3.2 Deals
    • 12.1.10 EXLSERVICE HOLDINGS
    • 12.1.11 HUDL
    • 12.1.12 GLOBALSTEP
    • 12.1.13 HCL TECHNOLOGIES
    • 12.1.14 ZEBRA TECHNOLOGIES
    • 12.1.15 SALESFORCE
  • 12.2 STARTUPS/SMES
    • 12.2.1 CATAPULT
    • 12.2.2 KITMAN LABS
    • 12.2.3 SPORTLOGIQ
    • 12.2.4 CHYRONHEGO CORPORATION
    • 12.2.5 GENIUS SPORTS
    • 12.2.6 PLAYSIGHT
    • 12.2.7 QUANTIPHI
    • 12.2.8 SCISPORTS
    • 12.2.9 TRUMEDIA NETWORKS
    • 12.2.10 SPIIDEO

13 ADJACENT/RELATED MARKETS

  • 13.1 INTRODUCTION
    • 13.1.1 RELATED MARKETS
  • 13.2 SPORTS TECHNOLOGY MARKET - GLOBAL FORECAST 2027
    • 13.2.1 MARKET DEFINITION
  • 13.3 SPORTS ANALYTICS MARKET - GLOBAL FORECAST 2026
    • 13.3.1 MARKET DEFINITION

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS

List of Tables

  • TABLE 1 USD EXCHANGE RATES, 2019-2023
  • TABLE 2 AI IN SPORTS MARKET: ECOSYSTEM
  • TABLE 3 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 4 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 5 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 6 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 7 AVERAGE SELLING PRICE OF KEY PLAYERS, BY SOLUTION, 2023
  • TABLE 8 INDICATIVE PRICING ANALYSIS, BY SPORTS TYPE, 2023
  • TABLE 9 LIST OF KEY PATENTS
  • TABLE 10 PORTER'S FIVE FORCES' IMPACT ON AI IN SPORTS MARKET
  • TABLE 11 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • TABLE 12 KEY BUYING CRITERIA FOR END USERS
  • TABLE 13 AI IN SPORTS MARKET: DETAILED LIST OF KEY CONFERENCES AND EVENTS, 2024-2025
  • TABLE 14 AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 15 AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 16 SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 17 SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 18 SOLUTIONS: AI IN SPORTS MARKET, BY SPORTS SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 19 SOLUTIONS: AI IN SPORTS MARKET, BY SPORTS SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 20 PERFORMANCE ANALYTICS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 21 PERFORMANCE ANALYTICS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 22 PLAYER MONITORING: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 23 PLAYER MONITORING: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 24 GAME STRATEGY & COACHING SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 25 GAME STRATEGY & COACHING SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 26 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 27 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 28 BROADCAST MANAGEMENT: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 29 BROADCAST MANAGEMENT: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 30 OTHER SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 31 OTHER SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 32 SERVICES: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 33 SERVICES: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 34 SERVICES: AI IN SPORTS MARKET, BY SERVICE TYPE, 2019-2023 (USD MILLION)
  • TABLE 35 SERVICES: AI IN SPORTS MARKET, BY SERVICE TYPE, 2024-2030 (USD MILLION)
  • TABLE 36 PROFESSIONAL SERVICES: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 37 PROFESSIONAL SERVICES: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 38 PROFESSIONAL SERVICES: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 39 PROFESSIONAL SERVICES: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 40 CONSULTING: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 41 CONSULTING: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 42 SYSTEM INTEGRATION & IMPLEMENTATION: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 43 SYSTEM INTEGRATION & IMPLEMENTATION: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 44 SUPPORT & MAINTENANCE: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 45 SUPPORT & MAINTENANCE: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 46 MANAGED SERVICES: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 47 MANAGED SERVICES: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 48 AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 49 AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 50 GENERATIVE AI: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 51 GENERATIVE AI: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 52 OTHER AI: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 53 OTHER AI: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 54 AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 55 AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 56 INDIVIDUAL SPORTS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 57 INDIVIDUAL SPORTS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 58 INDIVIDUAL SPORTS: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 59 INDIVIDUAL SPORTS: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 60 BOXING: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 61 BOXING: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 62 TENNIS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 63 TENNIS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 64 RACING: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 65 RACING: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 66 ATHLETICS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 67 ATHLETICS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 68 OTHERS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 69 OTHERS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 70 TEAM SPORTS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 71 TEAM SPORTS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 72 TEAM SPORTS: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 73 TEAM SPORTS: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 74 CRICKET: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 75 CRICKET: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 76 SOCCER: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 77 SOCCER: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 78 AMERICAN FOOTBALL/RUGBY: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 79 AMERICAN FOOTBALL/RUGBY: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 80 BASKETBALL: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 81 BASKETBALL: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 82 BASEBALL: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 83 BASEBALL: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 84 HOCKEY: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 85 HOCKEY: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 86 OTHER TEAM SPORTS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 87 OTHER TEAM SPORTS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 88 E-SPORTS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 89 E-SPORTS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 90 AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 91 AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 92 SPORTS ASSOCIATIONS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 93 SPORTS ASSOCIATIONS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 94 SPORTS TEAMS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 95 SPORTS TEAMS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 96 SPORTS MEDIA & BROADCASTING: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 97 SPORTS MEDIA & BROADCASTING: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 98 OTHER END USERS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 99 OTHER END USERS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 100 AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 101 AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 102 NORTH AMERICA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 103 NORTH AMERICA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 104 NORTH AMERICA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 105 NORTH AMERICA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 106 NORTH AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 107 NORTH AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 108 NORTH AMERICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 109 NORTH AMERICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 110 NORTH AMERICA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 111 NORTH AMERICA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 112 NORTH AMERICA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 113 NORTH AMERICA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 114 NORTH AMERICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 115 NORTH AMERICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 116 NORTH AMERICA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 117 NORTH AMERICA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 118 NORTH AMERICA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 119 NORTH AMERICA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 120 NORTH AMERICA: AI IN SPORTS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 121 NORTH AMERICA: AI IN SPORTS MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 122 US: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 123 US: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 124 US: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 125 US: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 126 US: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 127 US: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 128 US: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 129 US: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 130 US: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 131 US: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 132 US: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 133 US: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 134 US: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 135 US: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 136 US: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 137 US: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 138 US: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 139 US: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 140 CANADA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 141 CANADA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 142 CANADA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 143 CANADA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 144 CANADA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 145 CANADA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 146 CANADA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 147 CANADA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 148 CANADA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 149 CANADA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 150 CANADA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 151 CANADA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 152 CANADA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 153 CANADA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 154 CANADA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 155 CANADA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 156 CANADA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 157 CANADA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 158 EUROPE: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 159 EUROPE: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 160 EUROPE: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 161 EUROPE: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 162 EUROPE: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 163 EUROPE: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 164 EUROPE: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 165 EUROPE: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 166 EUROPE: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 167 EUROPE: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 168 EUROPE: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 169 EUROPE: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 170 EUROPE: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 171 EUROPE: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 172 EUROPE: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 173 EUROPE: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 174 EUROPE: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 175 EUROPE: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 176 EUROPE: AI IN SPORTS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 177 EUROPE: AI IN SPORTS MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 178 UK: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 179 UK: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 180 UK: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 181 UK: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 182 UK: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 183 UK: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 184 UK: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 185 UK: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 186 UK: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 187 UK: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 188 UK: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 189 UK: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 190 UK: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 191 UK: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 192 UK: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 193 UK: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 194 UK: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 195 UK: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 196 ASIA PACIFIC: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 197 ASIA PACIFIC: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 198 ASIA PACIFIC: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 199 ASIA PACIFIC: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 200 ASIA PACIFIC: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 201 ASIA PACIFIC: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 202 ASIA PACIFIC: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 203 ASIA PACIFIC: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 204 ASIA PACIFIC: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 205 ASIA PACIFIC: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 206 ASIA PACIFIC: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 207 ASIA PACIFIC: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 208 ASIA PACIFIC: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 209 ASIA PACIFIC: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 210 ASIA PACIFIC: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 211 ASIA PACIFIC: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 212 ASIA PACIFIC: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 213 ASIA PACIFIC: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 214 ASIA PACIFIC: AI IN SPORTS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 215 ASIA PACIFIC: AI IN SPORTS MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 216 CHINA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 217 CHINA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 218 CHINA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 219 CHINA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 220 CHINA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 221 CHINA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 222 CHINA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 223 CHINA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 224 CHINA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 225 CHINA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 226 CHINA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 227 CHINA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 228 CHINA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 229 CHINA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 230 CHINA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 231 CHINA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 232 CHINA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 233 CHINA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 234 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 235 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 236 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 237 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 238 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 239 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 240 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 241 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 242 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 243 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 244 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 245 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 246 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 247 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 248 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 249 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 250 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 251 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 252 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 253 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 254 KSA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 255 KSA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 256 KSA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 257 KSA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 258 KSA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 259 KSA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 260 KSA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 261 KSA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 262 KSA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 263 KSA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 264 KSA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 265 KSA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 266 KSA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 267 KSA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 268 KSA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 269 KSA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 270 KSA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 271 KSA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 272 LATIN AMERICA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 273 LATIN AMERICA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 274 LATIN AMERICA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 275 LATIN AMERICA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 276 LATIN AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 277 LATIN AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 278 LATIN AMERICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 279 LATIN AMERICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 280 LATIN AMERICA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 281 LATIN AMERICA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 282 LATIN AMERICA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 283 LATIN AMERICA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 284 LATIN AMERICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 285 LATIN AMERICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 286 LATIN AMERICA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 287 LATIN AMERICA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 288 LATIN AMERICA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 289 LATIN AMERICA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 290 LATIN AMERICA: AI IN SPORTS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 291 LATIN AMERICA: AI IN SPORTS MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 292 BRAZIL: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 293 BRAZIL: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 294 BRAZIL: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 295 BRAZIL: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 296 BRAZIL: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 297 BRAZIL: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 298 BRAZIL: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 299 BRAZIL: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 300 BRAZIL: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 301 BRAZIL: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 302 BRAZIL: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION)
  • TABLE 303 BRAZIL: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION)
  • TABLE 304 BRAZIL: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION)
  • TABLE 305 BRAZIL: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION)
  • TABLE 306 BRAZIL: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION)
  • TABLE 307 BRAZIL: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION)
  • TABLE 308 BRAZIL: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 309 BRAZIL: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 310 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI IN SPORTS MARKET VENDORS, 2020-2024
  • TABLE 311 AI IN SPORTS MARKET: DEGREE OF COMPETITION
  • TABLE 312 REGIONAL FOOTPRINT
  • TABLE 313 OFFERING FOOTPRINT
  • TABLE 314 TYPE FOOTPRINT
  • TABLE 315 SPORTS TYPE FOOTPRINT
  • TABLE 316 END USER FOOTPRINT
  • TABLE 317 AI IN SPORTS MARKET: KEY STARTUPS/SMES
  • TABLE 318 AI IN SPORTS MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 319 AI IN SPORTS MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, MAY 2021-NOVEMBER 2024
  • TABLE 320 AI IN SPORTS MARKET: DEALS, APRIL 2020-OCTOBER 2024
  • TABLE 321 MICROSOFT: COMPANY OVERVIEW
  • TABLE 322 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 323 MICROSOFT: PRODUCT LAUNCHES
  • TABLE 324 MICROSOFT: DEALS
  • TABLE 325 IBM: COMPANY OVERVIEW
  • TABLE 326 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 327 IBM: PRODUCT LAUNCHES
  • TABLE 328 IBM: DEALS
  • TABLE 329 ORACLE: COMPANY OVERVIEW
  • TABLE 330 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 331 ORACLE: PRODUCT LAUNCHES
  • TABLE 332 ORACLE: DEALS
  • TABLE 333 AWS: COMPANY OVERVIEW
  • TABLE 334 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 335 AWS: PRODUCT LAUNCHES
  • TABLE 336 AWS: DEALS
  • TABLE 337 SAP SE: COMPANY OVERVIEW
  • TABLE 338 SAP SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 339 SAP SE: DEALS
  • TABLE 340 STATS PERFORM: COMPANY OVERVIEW
  • TABLE 341 STATS PERFORM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 342 STATS PERFORM: PRODUCT LAUNCHES
  • TABLE 343 STATS PERFORM: DEALS
  • TABLE 344 SPORTRADAR AG: COMPANY OVERVIEW
  • TABLE 345 SPORTRADAR AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 346 SPORTRADAR AG: PRODUCT LAUNCHES
  • TABLE 347 SPORTRADAR AG: DEALS
  • TABLE 348 SAS INSTITUTE: COMPANY OVERVIEW
  • TABLE 349 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 350 SAS INSTITUTE: DEALS
  • TABLE 351 INTEL: COMPANY OVERVIEW
  • TABLE 352 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 353 INTEL: PRODUCT LAUNCHES
  • TABLE 354 INTEL: DEALS
  • TABLE 355 SPORTS TECHNOLOGY MARKET, BY TECHNOLOGY, 2018-2021 (USD MILLION)
  • TABLE 356 SPORTS TECHNOLOGY MARKET, BY TECHNOLOGY, 2022-2027 (USD MILLION)
  • TABLE 357 SPORTS TECHNOLOGY MARKET, BY SPORTS, 2018-2021 (USD MILLION)
  • TABLE 358 SPORTS TECHNOLOGY MARKET, BY SPORTS, 2022-2027 (USD MILLION)
  • TABLE 359 SPORTS TECHNOLOGY MARKET, BY END USER, 2018-2021 (USD MILLION)
  • TABLE 360 SPORTS TECHNOLOGY MARKET, BY END USER, 2022-2027 (USD MILLION)
  • TABLE 361 SPORTS TECHNOLOGY MARKET, BY REGION, 2018-2021 (USD MILLION)
  • TABLE 362 SPORTS TECHNOLOGY MARKET, BY REGION, 2022-2027 (USD MILLION)
  • TABLE 363 SPORTS ANALYTICS MARKET, BY COMPONENT, 2015-2020 (USD MILLION)
  • TABLE 364 SPORTS ANALYTICS MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
  • TABLE 365 SPORTS ANALYTICS MARKET, BY DEPLOYMENT MODE, 2015-2020 (USD MILLION)
  • TABLE 366 SPORTS ANALYTICS MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
  • TABLE 367 SPORTS ANALYTICS MARKET, BY END USER, 2015-2020 (USD MILLION)
  • TABLE 368 SPORTS ANALYTICS MARKET, BY END USER, 2021-2026 (USD MILLION)
  • TABLE 369 SPORTS ANALYTICS MARKET, BY TYPE, 2015-2020 (USD MILLION)
  • TABLE 370 SPORTS ANALYTICS MARKET, BY TYPE, 2021-2026 (USD MILLION)
  • TABLE 371 SPORTS ANALYTICS MARKET, BY APPLICATION, 2015-2020 (USD MILLION)
  • TABLE 372 SPORTS ANALYTICS MARKET, BY APPLICATION, 2021-2026 (USD MILLION)
  • TABLE 373 SPORTS ANALYTICS MARKET, BY REGION, 2015-2020 (USD MILLION)
  • TABLE 374 SPORTS ANALYTICS MARKET, BY REGION, 2021-2026 (USD MILLION)

List of Figures

  • FIGURE 1 MARKET SEGMENTATION
  • FIGURE 2 AI IN SPORTS MARKET: RESEARCH DESIGN
  • FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 4 AI IN SPORTS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN AI IN SPORTS MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 (DEMAND SIDE): AI IN SPORTS MARKET
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: DEMAND-SIDE ANALYSIS
  • FIGURE 8 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH
  • FIGURE 9 DATA TRIANGULATION
  • FIGURE 10 AI IN SPORTS MARKET, 2024-2030 (USD MILLION)
  • FIGURE 11 AI IN SPORTS MARKET, BY REGION, 2024
  • FIGURE 12 AI-DRIVEN DATA INSIGHTS, ADVANCEMENTS IN WEARABLE TECHNOLOGY, AND EMERGENCE OF SMART STADIUMS TO DRIVE MARKET
  • FIGURE 13 SOLUTIONS SEGMENT TO DOMINATE MARKET
  • FIGURE 14 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 15 CONSULTING SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 16 PERFORMANCE ANALYTICS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 17 OTHER AI SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 18 TEAM SPORTS TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 19 SPORTS TEAMS TO HOLD LARGEST MARKET SHARE BY 2030
  • FIGURE 20 SOLUTIONS AND OTHER AI SEGMENTS TO ACCOUNT FOR LARGEST MARKET SHARES IN 2024
  • FIGURE 21 AI IN SPORTS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 22 EVOLUTION OF AI IN SPORTS SOLUTIONS AND SERVICES
  • FIGURE 23 KEY PLAYERS IN AI IN SPORTS MARKET ECOSYSTEM
  • FIGURE 24 AI IN SPORTS MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 25 AVERAGE SELLING PRICE OF KEY PLAYERS, BY SOLUTION, 2023
  • FIGURE 26 LIST OF KEY PATENTS FOR AI IN SPORTS, 2013-2024
  • FIGURE 27 AI IN SPORTS MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 28 AI IN SPORTS MARKET: DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
  • FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR END USERS
  • FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 31 AI IN SPORTS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
  • FIGURE 32 ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542), BY KEY COUNTRY, 2016-2023 (USD BILLION)
  • FIGURE 33 ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542), BY KEY COUNTRY, 2016-2023 (USD BILLION)
  • FIGURE 34 INVESTMENT AND FUNDING SCENARIO, 2019-2024 (USD MILLION)
  • FIGURE 35 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING AI IN SPORTS ACROSS VARIOUS TYPES OF SOLUTIONS
  • FIGURE 36 GENERATIVE AI BEST PRACTICES ACROSS MAJOR INDUSTRIES
  • FIGURE 37 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 38 GENERATIVE AI TYPE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 E-SPORTS TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 40 SPORTS MEDIA & BROADCASTING TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 NORTH AMERICA: AI IN SPORTS MARKET SNAPSHOT
  • FIGURE 42 ASIA PACIFIC: AI IN SPORTS MARKET SNAPSHOT
  • FIGURE 43 REVENUE ANALYSIS FOR KEY COMPANIES, 2019-2023
  • FIGURE 44 SHARE OF LEADING COMPANIES IN AI IN SPORTS MARKET, 2023
  • FIGURE 45 MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS
  • FIGURE 46 AI IN SPORTS MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 47 COMPANY FOOTPRINT
  • FIGURE 48 AI IN SPORTS MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 49 BRAND/PRODUCT COMPARISON ANALYSIS
  • FIGURE 50 FINANCIAL METRICS OF KEY AI IN SPORTS MARKET VENDORS
  • FIGURE 51 COMPANY VALUATION OF KEY AI IN SPORTS MARKET VENDORS
  • FIGURE 52 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 53 IBM: COMPANY SNAPSHOT
  • FIGURE 54 ORACLE: COMPANY SNAPSHOT
  • FIGURE 55 AWS: COMPANY SNAPSHOT
  • FIGURE 56 SAP SE: COMPANY SNAPSHOT
  • FIGURE 57 INTEL: COMPANY SNAPSHOT