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Report
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
Market Report I 2024-11-28 I 285 Pages I MarketsandMarkets
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.
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).
1 INTRODUCTION 30
1.1 STUDY OBJECTIVES 30
1.2 MARKET DEFINITION 30
1.3 STUDY SCOPE 31
1.3.1 MARKET SEGMENTATION 31
1.3.2 INCLUSIONS AND EXCLUSIONS 32
1.4 YEARS CONSIDERED 32
1.5 CURRENCY CONSIDERED 33
1.6 STAKEHOLDERS 34
2 RESEARCH METHODOLOGY 35
2.1 RESEARCH DATA 35
2.1.1 SECONDARY DATA 36
2.1.2 PRIMARY DATA 36
2.1.2.1 Primary interviews with experts 36
2.1.2.2 Breakdown of primary profiles 37
2.1.2.3 Key insights from industry experts 37
2.2 MARKET SIZE ESTIMATION 38
2.2.1 TOP-DOWN APPROACH 38
2.2.2 BOTTOM-UP APPROACH 39
2.2.3 AI IN SPORTS MARKET ESTIMATION: DEMAND-SIDE ANALYSIS 40
2.3 DATA TRIANGULATION 41
2.4 RISK ASSESSMENT 43
2.5 RESEARCH ASSUMPTIONS 43
2.6 LIMITATIONS 43
3 EXECUTIVE SUMMARY 44
4 PREMIUM INSIGHTS 47
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN SPORTS MARKET 47
4.2 AI IN SPORTS MARKET, BY OFFERING, 2024 47
4.3 AI IN SPORTS MARKET, BY SERVICE 48
4.4 AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE 48
4.5 AI IN SPORTS MARKET, BY SOLUTION 48
4.6 AI IN SPORTS MARKET, BY TYPE 49
4.7 AI IN SPORTS MARKET, BY SPORTS TYPE 49
4.8 AI IN SPORTS MARKET, BY END USER 49
4.9 NORTH AMERICA: AI IN SPORTS MARKET, BY OFFERING AND TYPE 50
5 MARKET OVERVIEW AND INDUSTRY TRENDS 51
5.1 INTRODUCTION 51
5.2 MARKET DYNAMICS 51
5.2.1 DRIVERS 52
5.2.1.1 Enhanced player performance analytics driving competitive advantage 52
5.2.1.2 Improved fan engagement resulting in increased revenue generation 52
5.2.1.3 Advanced injury prediction tools leading to better athlete safety 53
5.2.2 RESTRAINTS 53
5.2.2.1 High implementation costs limiting widespread adoption 53
5.2.2.2 Data privacy concerns hindering trust in AI solutions 53
5.2.2.3 Limited AI expertise creating barriers for smaller sports organizations 53
5.2.3 OPPORTUNITIES 53
5.2.3.1 AI-driven personalization unlocking new revenue streams in
fan experiences 53
5.2.3.2 Growth in e-sports fostering innovation in AI applications 54
5.2.3.3 Integration of wearable technology enhancing real-time
performance insights 54
5.2.4 CHALLENGES 54
5.2.4.1 Complexity in integrating AI with existing sports infrastructure 54
5.2.4.2 Potential algorithmic bias impacting fairness in sports analytics 54
5.2.4.3 Evolving regulatory frameworks creating uncertainty for
AI deployment 54
5.3 BRIEF HISTORY OF EVOLUTION OF AI IN SPORTS SOLUTIONS AND SERVICES 55
5.4 AI IN SPORTS MARKET: ECOSYSTEM ANALYSIS/MARKET MAP 56
5.5 CASE STUDY ANALYSIS 57
5.5.1 CATAPULT ENHANCED ATHLETE PERFORMANCE TRACKING WITH
ADVANCED WEARABLE TECH SOLUTIONS 57
5.5.2 ORLANDO MAGIC LEVERAGED SAS FOR DATA-DRIVEN FAN ENGAGEMENT AND BUSINESS INSIGHTS 58
5.5.3 VODAFONE BOOSTED ENGAGEMENT WITH REAL-TIME AI INSIGHTS
FROM STATS PERFORM'S TECHNOLOGY 58
5.6 SUPPLY CHAIN ANALYSIS 59
5.7 PLANNING AND DESIGNING 59
5.8 REGULATORY LANDSCAPE 60
5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 60
5.8.1.1 FIFA (Federation Internationale de Football Association) 60
5.8.1.2 International Olympic Committee (IOC) 60
5.8.1.3 European Union (EU) 60
5.8.2 KEY REGULATIONS 62
5.8.2.1 North America 62
5.8.2.1.1 US and Canada 62
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5.8.2.2 Europe 62
5.8.2.2.1 UK, France, and Germany 62
5.8.2.3 Asia Pacific 63
5.8.2.3.1 Australia 63
5.8.2.3.2 China 63
5.8.2.4 Middle East & Africa 63
5.8.2.4.1 UAE 63
5.8.2.5 Latin America 63
5.8.2.5.1 Brazil 63
5.9 PRICING ANALYSIS 63
5.9.1 PRICING OF SOLUTIONS, BY KEY PLAYER, 2023 63
5.9.2 INDICATIVE PRICING ANALYSIS, BY SPORTS TYPE, 2023 64
5.10 TECHNOLOGY ANALYSIS 65
5.10.1 KEY TECHNOLOGIES 65
5.10.1.1 Machine Learning & Deep Learning 65
5.10.1.2 Computer Vision 65
5.10.1.3 Natural Language Processing (NLP) 65
5.10.1.4 Predictive Analytics 65
5.10.1.5 Robotic Process Automation (RPA) 65
5.10.2 COMPLEMENTARY TECHNOLOGIES 65
5.10.2.1 Augmented Reality (AR)/Virtual Reality (VR) 66
5.10.2.2 Sensor Integration Technology 66
5.10.2.3 Big Data Analytics 66
5.10.2.4 Cloud Computing 66
5.10.2.5 Cybersecurity 66
5.10.3 ADJACENT TECHNOLOGIES 66
5.10.3.1 Blockchain 66
5.10.3.2 5G Connectivity 66
5.10.3.3 Edge Computing 67
5.10.3.4 Digital Twins 67
5.11 PATENT ANALYSIS 67
5.12 PORTER'S FIVE FORCES ANALYSIS 71
5.12.1 THREAT OF NEW ENTRANTS 72
5.12.2 THREAT OF SUBSTITUTES 72
5.12.3 BARGAINING POWER OF SUPPLIERS 73
5.12.4 BARGAINING POWER OF BUYERS 73
5.12.5 INTENSITY OF COMPETITIVE RIVALRY 73
5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES 73
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA 74
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS 74
5.14.2 BUYING CRITERIA 75
5.15 KEY CONFERENCES AND EVENTS 75
5.16 TECHNOLOGY ROADMAP FOR AI IN SPORTS MARKET 76
5.16.1 SHORT-TERM ROADMAP (2023-2025) 76
5.16.2 MID-TERM ROADMAP (2026-2028) 76
5.16.3 LONG-TERM ROADMAP (2029-2030) 76
5.17 BEST PRACTICES IN AI IN SPORTS MARKET 76
5.17.1 PERFORMANCE ANALYSIS AND INJURY PREVENTION 76
5.17.2 AI-POWERED FAN ENGAGEMENT 77
5.17.3 REAL-TIME GAME ANALYTICS AND STRATEGY OPTIMIZATION 77
5.17.4 AUTOMATED CONTENT CREATION 77
5.17.5 TALENT SCOUTING AND RECRUITMENT 77
5.18 CURRENT AND EMERGING BUSINESS MODELS 77
5.18.1 SUBSCRIPTION-BASED ANALYTICS PLATFORMS 77
5.18.2 DATA-AS-A-SERVICE (DAAS) 78
5.18.3 SPONSORSHIP AND ADVERTISING OPTIMIZATION (AI-DRIVEN) 78
5.19 AI IN SPORTS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES 78
5.20 HS CODE ANALYSIS: ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542) 79
5.20.1 EXPORT SCENARIO OF ELECTRONIC INTEGRATED CIRCUITS;
PARTS THEREOF (8542) 79
5.20.2 IMPORT SCENARIO OF ELECTRONIC INTEGRATED CIRCUITS;
PARTS THEREOF (8542) 80
5.21 INVESTMENT AND FUNDING SCENARIO 81
5.22 IMPACT OF GENERATIVE AI ON AI IN SPORTS MARKET 81
5.22.1 TOP USE CASES AND MARKET POTENTIAL 81
5.22.1.1 Key use cases 82
5.22.2 BEST PRACTICES 83
5.22.2.1 Sports Analytics Industry 83
5.22.2.2 Fan Engagement Industry 83
5.22.2.3 Injury Prevention & Rehabilitation Industry 83
5.22.3 CASE STUDIES OF GENERATIVE AI IMPLEMENTATION 84
5.22.3.1 Global Sports Streaming Service Enhanced Viewer Engagement
with AI-generated Content 84
5.22.3.2 Football Team Optimized Player Performance and Injury
Prevention Using AI-driven Data Insights 84
5.22.3.3 Sports Apparel Brand Increased Merchandise Sales by Creating
AI-generated Custom Designs 84
5.22.4 CLIENT READINESS AND IMPACT ASSESSMENT 85
5.22.4.1 Client A: Major Football Club 85
5.22.4.2 Client B: Global Sports Streaming Platform 85
5.22.4.3 Client C: Professional Basketball Team 85
6 AI IN SPORTS MARKET, BY OFFERING 86
6.1 INTRODUCTION 87
6.1.1 OFFERING: MARKET DRIVERS 88
6.2 SOLUTIONS 88
6.2.1 PERFORMANCE ANALYTICS 90
6.2.1.1 AI-based performance analytics assess player and team performance to improve gameplay and prevent injuries 90
6.2.2 PLAYER MONITORING 91
6.2.2.1 AI-powered player monitoring tracks health, fitness, and performance metrics, helping teams manage workload and prevent injuries 91
6.2.3 GAME STRATEGY & COACHING SOLUTIONS 92
6.2.3.1 AI tools optimize game strategies and coaching methods to enhance decision-making and performance during competitions 92
6.3 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT 93
6.3.1 AI SOLUTIONS ENHANCE FAN EXPERIENCES BY PROVIDING REAL-TIME STATS, PERSONALIZED INTERACTIONS, AND IMMERSIVE FEATURES 93
6.3.2 BROADCAST MANAGEMENT 94
6.3.2.1 AI-driven broadcast solutions optimize content delivery, improve viewer experience, and streamline broadcasting processes 94
6.3.3 OTHER SOLUTIONS 95
6.4 SERVICES 96
6.4.1 PROFESSIONAL SERVICES 97
6.4.2 TRAINING & CONSULTING 98
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 98
6.4.3 SYSTEM INTEGRATION & IMPLEMENTATION 99
6.4.3.1 System integration services deploy AI solutions seamlessly within existing sports operations, ensuring smooth adoption and functionality 99
6.4.4 SUPPORT & MAINTENANCE 100
6.4.4.1 Support and maintenance services ensure AI systems function properly over time, providing updates, troubleshooting, and ongoing monitoring 100
6.4.5 MANAGED SERVICES 101
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 101
7 AI IN SPORTS MARKET, BY TYPE 103
7.1 INTRODUCTION 104
7.1.1 TYPE: MARKET DRIVERS 104
7.2 GENERATIVE AI 105
7.3 OTHER AI 106
7.3.1 MACHINE LEARNING 107
7.3.1.1 Machine learning enables systems to learn from data and make predictions, optimizing player performance, injury prevention, and fan insights 107
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7.3.2 NATURAL LANGUAGE PROCESSING 107
7.3.2.1 NLP allows machines to understand and interact with human language, improving fan engagement and automating commentary and content analysis 107
7.3.3 COMPUTER VISION 108
7.3.3.1 Computer vision interprets visual data, enabling accurate analysis
of game footage and player movements, improving coaching and officiating 108
7.3.4 PREDICTIVE ANALYTICS 108
7.3.4.1 Predictive analytics uses historical data and algorithms to forecast future trends, optimizing strategies, predicting game outcomes,
and analyzing player performance 108
8 AI IN SPORTS MARKET, BY SPORTS TYPE 109
8.1 INTRODUCTION 110
8.1.1 SPORTS TYPE: MARKET DRIVERS 110
8.2 INDIVIDUAL SPORTS 111
8.2.1 BOXING 113
8.2.1.1 Advanced analytics and motion tracking enable boxers to improve techniques and track opponent tendencies 113
8.2.2 TENNIS 114
8.2.2.1 AI-powered tools assist players in analyzing match performance
and predicting opponent strategies 114
8.2.3 RACING 115
8.2.3.1 AI systems optimize vehicle performance and driver strategies
for competitive racing 115
8.2.4 ATHLETICS 116
8.2.4.1 Biometric monitoring and performance analytics aid athletes in achieving peak physical output 116
8.2.5 OTHERS 116
8.3 TEAM SPORTS 117
8.3.1 CRICKET 119
8.3.1.1 AI assists in analyzing player and team data to improve batting
and bowling strategies 119
8.3.2 SOCCER 120
8.3.2.1 Real-time analytics and tactical insights revolutionize team management and gameplay 120
8.3.3 AMERICAN FOOTBALL/RUGBY 121
8.3.3.1 AI helps strategize, monitor player safety, and enhance
on-field performance 121
8.3.4 BASKETBALL 122
8.3.4.1 Advanced analytics optimize shooting, defense, and player
rotations for improved results 122
8.3.5 BASEBALL 123
8.3.5.1 AI-driven tools refine strategy, from batting lineups to field positioning 123
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8.3.6 HOCKEY 124
8.3.6.1 Video analysis and wearable tracking support tactical decisions
and player well-being 124
8.3.7 OTHERS 125
8.4 E-SPORTS 126
9 AI IN SPORTS MARKET, BY END USER 127
9.1 INTRODUCTION 128
9.1.1 END USER: MARKET DRIVERS 128
9.1.2 SPORTS ASSOCIATIONS 129
9.1.2.1 AI empowers sports associations in fair play, logistical management, and fan engagement, enhancing governance and global event execution 129
9.1.3 SPORTS TEAMS 130
9.1.3.1 Sports teams integrate AI for performance analytics, injury prevention, and player recruitment, ensuring competitive advantage 130
9.1.4 SPORTS MEDIA & BROADCASTING 131
9.1.4.1 AI revolutionizes sports broadcasting by automating content creation, enhancing fan engagement, and delivering tailored experiences 131
9.1.5 OTHER END USERS 132
10 AI IN SPORTS MARKET, BY REGION 134
10.1 INTRODUCTION 135
10.2 NORTH AMERICA 136
10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK 136
10.2.2 US 142
10.2.2.1 US witnesses widespread AI integration in professional leagues
and fan engagement 142
10.2.3 CANADA 147
10.2.3.1 Canada emphasizes athlete training and grassroots development with AI technologies 147
10.3 EUROPE 152
10.3.1 EUROPE: MACROECONOMIC OUTLOOK 152
10.3.2 UK 159
10.3.2.1 UK excels in leveraging AI for elite sports broadcasting and officiating 159
10.3.3 GERMANY 164
10.3.3.1 Germany focuses on wearable technology and fan-centric
AI applications 164
10.3.4 FRANCE 164
10.3.4.1 France integrates AI in immersive fan experiences and sports event management 164
10.3.5 ITALY 165
10.3.5.1 Italy invests in AI for enhanced coaching systems and automated highlights 165
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10.3.6 SPAIN 165
10.3.6.1 Spain emphasizes on AI in talent development and real-time
match applications 165
10.3.7 NORDIC COUNTRIES 165
10.3.7.1 Nordic countries lead in AI for winter sports and sustainable
stadium technologies 165
10.3.8 REST OF EUROPE 166
10.4 ASIA PACIFIC 166
10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK 166
10.4.2 CHINA 173
10.4.2.1 China is leveraging AI to boost player performance and enhance
fan engagement in sports 173
10.4.3 JAPAN 178
10.4.3.1 Japan is applying AI for player health management and improving
fan experiences in sports 178
10.4.4 INDIA 178
10.4.4.1 India is using AI to revolutionize sports analytics and player development 178
10.4.5 AUSTRALIA & NEW ZEALAND 179
10.4.5.1 Australia & New Zealand are integrating AI to optimize
performance and fan interactions in sports 179
10.4.6 SOUTH KOREA 179
10.4.6.1 South Korea is adopting AI for real-time sports analytics and
e-sports advancements 179
10.4.7 SOUTHEAST ASIA 179
10.4.7.1 Southeast Asia is embracing AI to improve sports performance
and fan engagement 179
10.4.8 REST OF ASIA PACIFIC 180
10.5 MIDDLE EAST & AFRICA 180
10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 180
10.5.2 UAE 187
10.5.2.1 UAE accelerates AI integration in sports with smart stadium initiatives and enhanced fan engagement platforms 187
10.5.3 KSA 187
10.5.3.1 Saudi Arabia's focus on Vision 2030, hosting mega-events, and sports technology to drive AI adoption 187
10.5.4 KUWAIT 192
10.5.4.1 Kuwait emphasizes AI in grassroots sports, talent development, and local sports programs 192
10.5.5 BAHRAIN 192
10.5.5.1 Bahrain leverages AI for advanced event management, youth sports development, and immersive fan experiences 192
10.5.6 SOUTH AFRICA 192
10.5.6.1 South Africa leverages AI for athlete performance enhancement, injury prevention, and sports analytics 192
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10.5.7 REST OF MIDDLE EAST & AFRICA 192
10.6 LATIN AMERICA 193
10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK 193
10.6.2 BRAZIL 199
10.6.2.1 Brazil is at forefront of AI adoption in sports, with AI technologies revolutionizing player training, tactical analysis, and injury prevention 199
10.6.3 MEXICO 204
10.6.3.1 In Mexico, AI is not just reshaping football but also transforming other sports such as Lucha Libre 204
10.6.4 ARGENTINA 204
10.6.4.1 In Argentina, AI technologies are being used to refine sports training, analyze player performance, and enhance fan experience 204
10.6.5 REST OF LATIN AMERICA 205
11 COMPETITIVE LANDSCAPE 206
11.1 INTRODUCTION 206
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2024 206
11.3 REVENUE ANALYSIS, 2019-2023 208
11.4 MARKET SHARE ANALYSIS, 2023 208
11.4.1 MARKET RANKING ANALYSIS 212
11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 212
11.5.1 STARS 212
11.5.2 EMERGING LEADERS 212
11.5.3 PERVASIVE PLAYERS 212
11.5.4 PARTICIPANTS 212
11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 214
11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 220
11.6.1 PROGRESSIVE COMPANIES 220
11.6.2 RESPONSIVE COMPANIES 220
11.6.3 DYNAMIC COMPANIES 220
11.6.4 STARTING BLOCKS 220
11.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES,2021-2024 222
11.6.5.1 Detailed list of key startups/SMEs 222
11.6.5.2 Competitive benchmarking of key startups/SMEs 223
11.7 COMPETITIVE SCENARIO AND TRENDS 224
11.7.1 PRODUCT LAUNCHES AND ENHANCEMENTS 224
11.7.2 DEALS 225
11.8 BRAND/PRODUCT COMPARISON ANALYSIS 226
11.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY AI IN SPORTS
MARKET PROVIDERS 227
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12 COMPANY PROFILES 228
12.1 KEY PLAYERS 228
12.1.1 MICROSOFT 228
12.1.1.1 Business overview 228
12.1.1.2 Products/Solutions/Services offered 229
12.1.1.3 Recent developments 230
12.1.1.3.1 Product launches 230
12.1.1.3.2 Deals 230
12.1.1.4 MnM view 230
12.1.1.4.1 Right to win 230
12.1.1.4.2 Strategic choices 230
12.1.1.4.3 Weaknesses and competitive threats 230
12.1.2 IBM 231
12.1.2.1 Business overview 231
12.1.2.2 Products/Solutions/Services offered 232
12.1.2.3 Recent developments 233
12.1.2.3.1 Product launches 233
12.1.2.3.2 Deals 233
12.1.2.4 MnM view 234
12.1.2.4.1 Right to win 234
12.1.2.4.2 Strategic choices 234
12.1.2.4.3 Weaknesses and competitive threats 234
12.1.3 ORACLE 235
12.1.3.1 Business overview 235
12.1.3.2 Products/Solutions/Services offered 236
12.1.3.3 Recent developments 237
12.1.3.3.1 Product launches 237
12.1.3.3.2 Deals 237
12.1.3.4 MnM view 237
12.1.3.4.1 Right to win 237
12.1.3.4.2 Strategic choices 237
12.1.3.4.3 Weaknesses and competitive threats 237
12.1.4 AWS 238
12.1.4.1 Business overview 238
12.1.4.2 Products/Solutions/Services offered 239
12.1.4.3 Recent developments 240
12.1.4.3.1 Product launches 240
12.1.4.3.2 Deals 240
12.1.4.4 MnM view 241
12.1.4.4.1 Right to win 241
12.1.4.4.2 Strategic choices 241
12.1.4.4.3 Weaknesses and competitive threats 241
12.1.5 SAP SE 242
12.1.5.1 Business overview 242
12.1.5.2 Products/Solutions/Services offered 243
12.1.5.3 Recent developments 244
12.1.5.3.1 Deals 244
12.1.5.4 MnM view 245
12.1.5.4.1 Right to win 245
12.1.5.4.2 Strategic choices 245
12.1.5.4.3 Weaknesses and competitive threats 245
12.1.6 STATS PERFORM 246
12.1.6.1 Business overview 246
12.1.6.2 Products/Solutions/Services offered 246
12.1.6.3 Recent developments 247
12.1.6.3.1 Product launches 247
12.1.6.3.2 Deals 247
12.1.7 SPORTRADAR AG 248
12.1.7.1 Business overview 248
12.1.7.2 Products/Solutions/Services offered 248
12.1.7.3 Recent developments 249
12.1.7.3.1 Product launches 249
12.1.7.3.2 Deals 249
12.1.8 SAS INSTITUTE 250
12.1.8.1 Business overview 250
12.1.8.2 Products/Solutions/Services offered 250
12.1.8.3 Recent developments 251
12.1.8.3.1 Deals 251
12.1.9 INTEL 252
12.1.9.1 Business overview 252
12.1.9.2 Products/Solutions/Services offered 253
12.1.9.3 Recent developments 254
12.1.9.3.1 Product launches 254
12.1.9.3.2 Deals 254
12.1.10 EXLSERVICE HOLDINGS 255
12.1.11 HUDL 256
12.1.12 GLOBALSTEP 257
12.1.13 HCL TECHNOLOGIES 258
12.1.14 ZEBRA TECHNOLOGIES 259
12.1.15 SALESFORCE 260
12.2 STARTUPS/SMES 261
12.2.1 CATAPULT 261
12.2.2 KITMAN LABS 262
12.2.3 SPORTLOGIQ 263
12.2.4 CHYRONHEGO CORPORATION 264
12.2.5 GENIUS SPORTS 265
12.2.6 PLAYSIGHT 266
12.2.7 QUANTIPHI 267
12.2.8 SCISPORTS 268
12.2.9 TRUMEDIA NETWORKS 269
12.2.10 SPIIDEO 270
13 ADJACENT/RELATED MARKETS 271
13.1 INTRODUCTION 271
13.1.1 RELATED MARKETS 271
13.2 SPORTS TECHNOLOGY MARKET - GLOBAL FORECAST 2027 271
13.2.1 MARKET DEFINITION 271
13.3 SPORTS ANALYTICS MARKET - GLOBAL FORECAST 2026 274
13.3.1 MARKET DEFINITION 274
14 APPENDIX 278
14.1 DISCUSSION GUIDE 278
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL 281
14.3 CUSTOMIZATION OPTIONS 283
14.4 RELATED REPORTS 283
14.5 AUTHOR DETAILS 284
TABLE 1 USD EXCHANGE RATES, 2019-2023 33
TABLE 2 AI IN SPORTS MARKET: ECOSYSTEM 56
TABLE 3 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 61
TABLE 4 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 61
TABLE 5 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 61
TABLE 6 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND
OTHER ORGANIZATIONS 62
TABLE 7 AVERAGE SELLING PRICE OF KEY PLAYERS, BY SOLUTION, 2023 64
TABLE 8 INDICATIVE PRICING ANALYSIS, BY SPORTS TYPE, 2023 64
TABLE 9 LIST OF KEY PATENTS 68
TABLE 10 PORTER'S FIVE FORCES' IMPACT ON AI IN SPORTS MARKET 71
TABLE 11 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS 74
TABLE 12 KEY BUYING CRITERIA FOR END USERS 75
TABLE 13 AI IN SPORTS MARKET: DETAILED LIST OF KEY CONFERENCES
AND EVENTS, 2024-2025 75
TABLE 14 AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 88
TABLE 15 AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 88
TABLE 16 SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 89
TABLE 17 SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 89
TABLE 18 SOLUTIONS: AI IN SPORTS MARKET, BY SPORTS SOLUTION,
2019-2023 (USD MILLION) 89
TABLE 19 SOLUTIONS: AI IN SPORTS MARKET, BY SPORTS SOLUTION,
2024-2030 (USD MILLION) 90
TABLE 20 PERFORMANCE ANALYTICS: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 90
TABLE 21 PERFORMANCE ANALYTICS: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 91
TABLE 22 PLAYER MONITORING: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 91
TABLE 23 PLAYER MONITORING: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 92
TABLE 24 GAME STRATEGY & COACHING SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 92
TABLE 25 GAME STRATEGY & COACHING SOLUTIONS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 93
TABLE 26 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT: AI IN SPORTS MARKET,
BY REGION, 2019-2023 (USD MILLION) 93
TABLE 27 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT: AI IN SPORTS MARKET,
BY REGION, 2024-2030 (USD MILLION) 94
TABLE 28 BROADCAST MANAGEMENT: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 94
TABLE 29 BROADCAST MANAGEMENT: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 95
TABLE 30 OTHER SOLUTIONS: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 95
TABLE 31 OTHER SOLUTIONS: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 95
TABLE 32 SERVICES: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 96
TABLE 33 SERVICES: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 96
TABLE 34 SERVICES: AI IN SPORTS MARKET, BY SERVICE TYPE, 2019-2023 (USD MILLION) 96
TABLE 35 SERVICES: AI IN SPORTS MARKET, BY SERVICE TYPE, 2024-2030 (USD MILLION) 97
TABLE 36 PROFESSIONAL SERVICES: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 97
TABLE 37 PROFESSIONAL SERVICES: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 97
TABLE 38 PROFESSIONAL SERVICES: AI IN SPORTS MARKET, BY TYPE,
2019-2023 (USD MILLION) 98
TABLE 39 PROFESSIONAL SERVICES: AI IN SPORTS MARKET, BY TYPE,
2024-2030 (USD MILLION) 98
TABLE 40 CONSULTING: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 98
TABLE 41 CONSULTING: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 99
TABLE 42 SYSTEM INTEGRATION & IMPLEMENTATION: AI IN SPORTS MARKET,
BY REGION, 2019-2023 (USD MILLION) 99
TABLE 43 SYSTEM INTEGRATION & IMPLEMENTATION: AI IN SPORTS MARKET,
BY REGION, 2024-2030 (USD MILLION) 100
TABLE 44 SUPPORT & MAINTENANCE: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 100
TABLE 45 SUPPORT & MAINTENANCE: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 101
TABLE 46 MANAGED SERVICES: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 101
TABLE 47 MANAGED SERVICES: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 102
TABLE 48 AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 105
TABLE 49 AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 105
TABLE 50 GENERATIVE AI: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 105
TABLE 51 GENERATIVE AI: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 106
TABLE 52 OTHER AI: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 106
TABLE 53 OTHER AI: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 107
TABLE 54 AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION) 111
TABLE 55 AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION) 111
TABLE 56 INDIVIDUAL SPORTS: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 112
TABLE 57 INDIVIDUAL SPORTS: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 112
TABLE 58 INDIVIDUAL SPORTS: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 112
TABLE 59 INDIVIDUAL SPORTS: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 112
TABLE 60 BOXING: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 113
TABLE 61 BOXING: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 113
TABLE 62 TENNIS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 114
TABLE 63 TENNIS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 114
TABLE 64 RACING: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 115
TABLE 65 RACING: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 115
TABLE 66 ATHLETICS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 116
TABLE 67 ATHLETICS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 116
TABLE 68 OTHERS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 117
TABLE 69 OTHERS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 117
TABLE 70 TEAM SPORTS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 118
TABLE 71 TEAM SPORTS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 118
TABLE 72 TEAM SPORTS: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 118
TABLE 73 TEAM SPORTS: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 119
TABLE 74 CRICKET: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 119
TABLE 75 CRICKET: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 120
TABLE 76 SOCCER: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 120
TABLE 77 SOCCER: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 121
TABLE 78 AMERICAN FOOTBALL/RUGBY: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 121
TABLE 79 AMERICAN FOOTBALL/RUGBY: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 122
TABLE 80 BASKETBALL: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 122
TABLE 81 BASKETBALL: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 123
TABLE 82 BASEBALL: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 123
TABLE 83 BASEBALL: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 124
TABLE 84 HOCKEY: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 124
TABLE 85 HOCKEY: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 125
TABLE 86 OTHER TEAM SPORTS: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 125
TABLE 87 OTHER TEAM SPORTS: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 125
TABLE 88 E-SPORTS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 126
TABLE 89 E-SPORTS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 126
TABLE 90 AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 129
TABLE 91 AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 129
TABLE 92 SPORTS ASSOCIATIONS: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 130
TABLE 93 SPORTS ASSOCIATIONS: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 130
TABLE 94 SPORTS TEAMS: AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 131
TABLE 95 SPORTS TEAMS: AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 131
TABLE 96 SPORTS MEDIA & BROADCASTING: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 132
TABLE 97 SPORTS MEDIA & BROADCASTING: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 132
TABLE 98 OTHER END USERS: AI IN SPORTS MARKET, BY REGION,
2019-2023 (USD MILLION) 133
TABLE 99 OTHER END USERS: AI IN SPORTS MARKET, BY REGION,
2024-2030 (USD MILLION) 133
TABLE 100 AI IN SPORTS MARKET, BY REGION, 2019-2023 (USD MILLION) 135
TABLE 101 AI IN SPORTS MARKET, BY REGION, 2024-2030 (USD MILLION) 136
TABLE 102 NORTH AMERICA: AI IN SPORTS MARKET, BY OFFERING,
2019-2023 (USD MILLION) 137
TABLE 103 NORTH AMERICA: AI IN SPORTS MARKET, BY OFFERING,
2024-2030 (USD MILLION) 137
TABLE 104 NORTH AMERICA: AI IN SPORTS MARKET, BY SOLUTION,
2019-2023 (USD MILLION) 138
TABLE 105 NORTH AMERICA: AI IN SPORTS MARKET, BY SOLUTION,
2024-2030 (USD MILLION) 138
TABLE 106 NORTH AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 138
TABLE 107 NORTH AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 138
TABLE 108 NORTH AMERICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 139
TABLE 109 NORTH AMERICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 139
TABLE 110 NORTH AMERICA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 139
TABLE 111 NORTH AMERICA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 139
TABLE 112 NORTH AMERICA: AI IN SPORTS MARKET, BY SPORTS TYPE,
2019-2023 (USD MILLION) 140
TABLE 113 NORTH AMERICA: AI IN SPORTS MARKET, BY SPORTS TYPE,
2024-2030 (USD MILLION) 140
TABLE 114 NORTH AMERICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2019-2023 (USD MILLION) 140
TABLE 115 NORTH AMERICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2024-2030 (USD MILLION) 140
TABLE 116 NORTH AMERICA: AI IN SPORTS MARKET, BY TEAM SPORT,
2019-2023 (USD MILLION) 141
TABLE 117 NORTH AMERICA: AI IN SPORTS MARKET, BY TEAM SPORT,
2024-2030 (USD MILLION) 141
TABLE 118 NORTH AMERICA: AI IN SPORTS MARKET, BY END USER,
2019-2023 (USD MILLION) 141
TABLE 119 NORTH AMERICA: AI IN SPORTS MARKET, BY END USER,
2024-2030 (USD MILLION) 142
TABLE 120 NORTH AMERICA: AI IN SPORTS MARKET, BY COUNTRY,
2019-2023 (USD MILLION) 142
TABLE 121 NORTH AMERICA: AI IN SPORTS MARKET, BY COUNTRY,
2024-2030 (USD MILLION) 142
TABLE 122 US: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 143
TABLE 123 US: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 143
TABLE 124 US: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 143
TABLE 125 US: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 143
TABLE 126 US: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 144
TABLE 127 US: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 144
TABLE 128 US: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 144
TABLE 129 US: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 144
TABLE 130 US: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 144
TABLE 131 US: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 145
TABLE 132 US: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION) 145
TABLE 133 US: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION) 145
TABLE 134 US: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION) 145
TABLE 135 US: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION) 146
TABLE 136 US: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION) 146
TABLE 137 US: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION) 146
TABLE 138 US: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 147
TABLE 139 US: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 147
TABLE 140 CANADA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 147
TABLE 141 CANADA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 148
TABLE 142 CANADA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 148
TABLE 143 CANADA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 148
TABLE 144 CANADA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 148
TABLE 145 CANADA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 149
TABLE 146 CANADA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 149
TABLE 147 CANADA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 149
TABLE 148 CANADA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 149
TABLE 149 CANADA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 150
TABLE 150 CANADA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION) 150
TABLE 151 CANADA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION) 150
TABLE 152 CANADA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2019-2023 (USD MILLION) 150
TABLE 153 CANADA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2024-2030 (USD MILLION) 151
TABLE 154 CANADA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION) 151
TABLE 155 CANADA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION) 151
TABLE 156 CANADA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 152
TABLE 157 CANADA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 152
TABLE 158 EUROPE: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 153
TABLE 159 EUROPE: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 153
TABLE 160 EUROPE: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 153
TABLE 161 EUROPE: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 154
TABLE 162 EUROPE: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 154
TABLE 163 EUROPE: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 154
TABLE 164 EUROPE: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 154
TABLE 165 EUROPE: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 155
TABLE 166 EUROPE: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 155
TABLE 167 EUROPE: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 155
TABLE 168 EUROPE: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION) 155
TABLE 169 EUROPE: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION) 156
TABLE 170 EUROPE: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2019-2023 (USD MILLION) 156
TABLE 171 EUROPE: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2024-2030 (USD MILLION) 156
TABLE 172 EUROPE: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION) 157
TABLE 173 EUROPE: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION) 157
TABLE 174 EUROPE: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 157
TABLE 175 EUROPE: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 158
TABLE 176 EUROPE: AI IN SPORTS MARKET, BY COUNTRY, 2019-2023 (USD MILLION) 158
TABLE 177 EUROPE: AI IN SPORTS MARKET, BY COUNTRY, 2024-2030 (USD MILLION) 158
TABLE 178 UK: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 159
TABLE 179 UK: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 159
TABLE 180 UK: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 159
TABLE 181 UK: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 160
TABLE 182 UK: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 160
TABLE 183 UK: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 160
TABLE 184 UK: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 160
TABLE 185 UK: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 161
TABLE 186 UK: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 161
TABLE 187 UK: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 161
TABLE 188 UK: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION) 161
TABLE 189 UK: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION) 162
TABLE 190 UK: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION) 162
TABLE 191 UK: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION) 162
TABLE 192 UK: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION) 163
TABLE 193 UK: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION) 163
TABLE 194 UK: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 163
TABLE 195 UK: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 164
TABLE 196 ASIA PACIFIC: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 167
TABLE 197 ASIA PACIFIC: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 168
TABLE 198 ASIA PACIFIC: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 168
TABLE 199 ASIA PACIFIC: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 168
TABLE 200 ASIA PACIFIC: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 168
TABLE 201 ASIA PACIFIC: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 169
TABLE 202 ASIA PACIFIC: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 169
TABLE 203 ASIA PACIFIC: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 169
TABLE 204 ASIA PACIFIC: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 169
TABLE 205 ASIA PACIFIC: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 170
TABLE 206 ASIA PACIFIC: AI IN SPORTS MARKET, BY SPORTS TYPE,
2019-2023 (USD MILLION) 170
TABLE 207 ASIA PACIFIC: AI IN SPORTS MARKET, BY SPORTS TYPE,
2024-2030 (USD MILLION) 170
TABLE 208 ASIA PACIFIC: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2019-2023 (USD MILLION) 170
TABLE 209 ASIA PACIFIC: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2024-2030 (USD MILLION) 171
TABLE 210 ASIA PACIFIC: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION) 171
TABLE 211 ASIA PACIFIC: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION) 171
TABLE 212 ASIA PACIFIC: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 172
TABLE 213 ASIA PACIFIC: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 172
TABLE 214 ASIA PACIFIC: AI IN SPORTS MARKET, BY COUNTRY, 2019-2023 (USD MILLION) 172
TABLE 215 ASIA PACIFIC: AI IN SPORTS MARKET, BY COUNTRY, 2024-2030 (USD MILLION) 173
TABLE 216 CHINA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 173
TABLE 217 CHINA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 173
TABLE 218 CHINA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 174
TABLE 219 CHINA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 174
TABLE 220 CHINA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 174
TABLE 221 CHINA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 174
TABLE 222 CHINA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 175
TABLE 223 CHINA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 175
TABLE 224 CHINA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 175
TABLE 225 CHINA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 175
TABLE 226 CHINA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION) 175
TABLE 227 CHINA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION) 176
TABLE 228 CHINA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION) 176
TABLE 229 CHINA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION) 176
TABLE 230 CHINA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION) 177
TABLE 231 CHINA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION) 177
TABLE 232 CHINA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 177
TABLE 233 CHINA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 178
TABLE 234 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY OFFERING,
2019-2023 (USD MILLION) 181
TABLE 235 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY OFFERING,
2024-2030 (USD MILLION) 181
TABLE 236 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SOLUTION,
2019-2023 (USD MILLION) 181
TABLE 237 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SOLUTION,
2024-2030 (USD MILLION) 182
TABLE 238 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SERVICE,
2019-2023 (USD MILLION) 182
TABLE 239 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SERVICE,
2024-2030 (USD MILLION) 182
TABLE 240 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION) 182
TABLE 241 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION) 183
TABLE 242 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY TYPE,
2019-2023 (USD MILLION) 183
TABLE 243 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY TYPE,
2024-2030 (USD MILLION) 183
TABLE 244 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SPORTS TYPE,
2019-2023 (USD MILLION) 183
TABLE 245 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SPORTS TYPE,
2024-2030 (USD MILLION) 184
TABLE 246 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2019-2023 (USD MILLION) 184
TABLE 247 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2024-2030 (USD MILLION) 184
TABLE 248 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY TEAM SPORT,
2019-2023 (USD MILLION) 185
TABLE 249 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY TEAM SPORT,
2024-2030 (USD MILLION) 185
TABLE 250 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY END USER,
2019-2023 (USD MILLION) 185
TABLE 251 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY END USER,
2024-2030 (USD MILLION) 186
TABLE 252 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY COUNTRY,
2019-2023 (USD MILLION) 186
TABLE 253 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY COUNTRY,
2024-2030 (USD MILLION) 186
TABLE 254 KSA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 187
TABLE 255 KSA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 187
TABLE 256 KSA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 188
TABLE 257 KSA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 188
TABLE 258 KSA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 188
TABLE 259 KSA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 188
TABLE 260 KSA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 189
TABLE 261 KSA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 189
TABLE 262 KSA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 189
TABLE 263 KSA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 189
TABLE 264 KSA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION) 189
TABLE 265 KSA: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION) 190
TABLE 266 KSA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2019-2023 (USD MILLION) 190
TABLE 267 KSA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT, 2024-2030 (USD MILLION) 190
TABLE 268 KSA: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION) 190
TABLE 269 KSA: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION) 191
TABLE 270 KSA: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 191
TABLE 271 KSA: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 191
TABLE 272 LATIN AMERICA: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 194
TABLE 273 LATIN AMERICA: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 194
TABLE 274 LATIN AMERICA: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 194
TABLE 275 LATIN AMERICA: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 194
TABLE 276 LATIN AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 195
TABLE 277 LATIN AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 195
TABLE 278 LATIN AMERICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 195
TABLE 279 LATIN AMERICA: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 195
TABLE 280 LATIN AMERICA: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 195
TABLE 281 LATIN AMERICA: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 196
TABLE 282 LATIN AMERICA: AI IN SPORTS MARKET, BY SPORTS TYPE,
2019-2023 (USD MILLION) 196
TABLE 283 LATIN AMERICA: AI IN SPORTS MARKET, BY SPORTS TYPE,
2024-2030 (USD MILLION) 196
TABLE 284 LATIN AMERICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2019-2023 (USD MILLION) 196
TABLE 285 LATIN AMERICA: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2024-2030 (USD MILLION) 197
TABLE 286 LATIN AMERICA: AI IN SPORTS MARKET, BY TEAM SPORT,
2019-2023 (USD MILLION) 197
TABLE 287 LATIN AMERICA: AI IN SPORTS MARKET, BY TEAM SPORT,
2024-2030 (USD MILLION) 197
TABLE 288 LATIN AMERICA: AI IN SPORTS MARKET, BY END USER,
2019-2023 (USD MILLION) 198
TABLE 289 LATIN AMERICA: AI IN SPORTS MARKET, BY END USER,
2024-2030 (USD MILLION) 198
TABLE 290 LATIN AMERICA: AI IN SPORTS MARKET, BY COUNTRY, 2019-2023 (USD MILLION) 198
TABLE 291 LATIN AMERICA: AI IN SPORTS MARKET, BY COUNTRY, 2024-2030 (USD MILLION) 198
TABLE 292 BRAZIL: AI IN SPORTS MARKET, BY OFFERING, 2019-2023 (USD MILLION) 199
TABLE 293 BRAZIL: AI IN SPORTS MARKET, BY OFFERING, 2024-2030 (USD MILLION) 199
TABLE 294 BRAZIL: AI IN SPORTS MARKET, BY SOLUTION, 2019-2023 (USD MILLION) 199
TABLE 295 BRAZIL: AI IN SPORTS MARKET, BY SOLUTION, 2024-2030 (USD MILLION) 200
TABLE 296 BRAZIL: AI IN SPORTS MARKET, BY SERVICE, 2019-2023 (USD MILLION) 200
TABLE 297 BRAZIL: AI IN SPORTS MARKET, BY SERVICE, 2024-2030 (USD MILLION) 200
TABLE 298 BRAZIL: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2019-2023 (USD MILLION) 200
TABLE 299 BRAZIL: AI IN SPORTS MARKET, BY PROFESSIONAL SERVICE,
2024-2030 (USD MILLION) 201
TABLE 300 BRAZIL: AI IN SPORTS MARKET, BY TYPE, 2019-2023 (USD MILLION) 201
TABLE 301 BRAZIL: AI IN SPORTS MARKET, BY TYPE, 2024-2030 (USD MILLION) 201
TABLE 302 BRAZIL: AI IN SPORTS MARKET, BY SPORTS TYPE, 2019-2023 (USD MILLION) 201
TABLE 303 BRAZIL: AI IN SPORTS MARKET, BY SPORTS TYPE, 2024-2030 (USD MILLION) 202
TABLE 304 BRAZIL: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2019-2023 (USD MILLION) 202
TABLE 305 BRAZIL: AI IN SPORTS MARKET, BY INDIVIDUAL SPORT,
2024-2030 (USD MILLION) 202
TABLE 306 BRAZIL: AI IN SPORTS MARKET, BY TEAM SPORT, 2019-2023 (USD MILLION) 203
TABLE 307 BRAZIL: AI IN SPORTS MARKET, BY TEAM SPORT, 2024-2030 (USD MILLION) 203
TABLE 308 BRAZIL: AI IN SPORTS MARKET, BY END USER, 2019-2023 (USD MILLION) 203
TABLE 309 BRAZIL: AI IN SPORTS MARKET, BY END USER, 2024-2030 (USD MILLION) 204
TABLE 310 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI IN SPORTS
MARKET VENDORS, 2020-2024 206
TABLE 311 AI IN SPORTS MARKET: DEGREE OF COMPETITION 209
TABLE 312 REGIONAL FOOTPRINT 215
TABLE 313 OFFERING FOOTPRINT 216
TABLE 314 TYPE FOOTPRINT 217
TABLE 315 SPORTS TYPE FOOTPRINT 218
TABLE 316 END USER FOOTPRINT 219
TABLE 317 AI IN SPORTS MARKET: KEY STARTUPS/SMES 222
TABLE 318 AI IN SPORTS MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES 223
TABLE 319 AI IN SPORTS MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS,
MAY 2021-NOVEMBER 2024 224
TABLE 320 AI IN SPORTS MARKET: DEALS, APRIL 2020-OCTOBER 2024 225
TABLE 321 MICROSOFT: COMPANY OVERVIEW 228
TABLE 322 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 229
TABLE 323 MICROSOFT: PRODUCT LAUNCHES 230
TABLE 324 MICROSOFT: DEALS 230
TABLE 325 IBM: COMPANY OVERVIEW 231
TABLE 326 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 232
TABLE 327 IBM: PRODUCT LAUNCHES 233
TABLE 328 IBM: DEALS 233
TABLE 329 ORACLE: COMPANY OVERVIEW 235
TABLE 330 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 236
TABLE 331 ORACLE: PRODUCT LAUNCHES 237
TABLE 332 ORACLE: DEALS 237
TABLE 333 AWS: COMPANY OVERVIEW 238
TABLE 334 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 239
TABLE 335 AWS: PRODUCT LAUNCHES 240
TABLE 336 AWS: DEALS 240
TABLE 337 SAP SE: COMPANY OVERVIEW 242
TABLE 338 SAP SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 243
TABLE 339 SAP SE: DEALS 244
TABLE 340 STATS PERFORM: COMPANY OVERVIEW 246
TABLE 341 STATS PERFORM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 246
TABLE 342 STATS PERFORM: PRODUCT LAUNCHES 247
TABLE 343 STATS PERFORM: DEALS 247
TABLE 344 SPORTRADAR AG: COMPANY OVERVIEW 248
TABLE 345 SPORTRADAR AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED 248
TABLE 346 SPORTRADAR AG: PRODUCT LAUNCHES 249
TABLE 347 SPORTRADAR AG: DEALS 249
TABLE 348 SAS INSTITUTE: COMPANY OVERVIEW 250
TABLE 349 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 250
TABLE 350 SAS INSTITUTE: DEALS 251
TABLE 351 INTEL: COMPANY OVERVIEW 252
TABLE 352 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED 253
TABLE 353 INTEL: PRODUCT LAUNCHES 254
TABLE 354 INTEL: DEALS 254
TABLE 355 SPORTS TECHNOLOGY MARKET, BY TECHNOLOGY, 2018-2021 (USD MILLION) 272
TABLE 356 SPORTS TECHNOLOGY MARKET, BY TECHNOLOGY, 2022-2027 (USD MILLION) 272
TABLE 357 SPORTS TECHNOLOGY MARKET, BY SPORTS, 2018-2021 (USD MILLION) 272
TABLE 358 SPORTS TECHNOLOGY MARKET, BY SPORTS, 2022-2027 (USD MILLION) 273
TABLE 359 SPORTS TECHNOLOGY MARKET, BY END USER, 2018-2021 (USD MILLION) 273
TABLE 360 SPORTS TECHNOLOGY MARKET, BY END USER, 2022-2027 (USD MILLION) 273
TABLE 361 SPORTS TECHNOLOGY MARKET, BY REGION, 2018-2021 (USD MILLION) 274
TABLE 362 SPORTS TECHNOLOGY MARKET, BY REGION, 2022-2027 (USD MILLION) 274
TABLE 363 SPORTS ANALYTICS MARKET, BY COMPONENT, 2015-2020 (USD MILLION) 274
TABLE 364 SPORTS ANALYTICS MARKET, BY COMPONENT, 2021-2026 (USD MILLION) 275
TABLE 365 SPORTS ANALYTICS MARKET, BY DEPLOYMENT MODE,
2015-2020 (USD MILLION) 275
TABLE 366 SPORTS ANALYTICS MARKET, BY DEPLOYMENT MODE,
2021-2026 (USD MILLION) 275
TABLE 367 SPORTS ANALYTICS MARKET, BY END USER, 2015-2020 (USD MILLION) 275
TABLE 368 SPORTS ANALYTICS MARKET, BY END USER, 2021-2026 (USD MILLION) 276
TABLE 369 SPORTS ANALYTICS MARKET, BY TYPE, 2015-2020 (USD MILLION) 276
TABLE 370 SPORTS ANALYTICS MARKET, BY TYPE, 2021-2026 (USD MILLION) 276
TABLE 371 SPORTS ANALYTICS MARKET, BY APPLICATION, 2015-2020 (USD MILLION) 276
TABLE 372 SPORTS ANALYTICS MARKET, BY APPLICATION, 2021-2026 (USD MILLION) 277
TABLE 373 SPORTS ANALYTICS MARKET, BY REGION, 2015-2020 (USD MILLION) 277
TABLE 374 SPORTS ANALYTICS MARKET, BY REGION, 2021-2026 (USD MILLION) 277
FIGURE 1 MARKET SEGMENTATION 31
FIGURE 2 AI IN SPORTS MARKET: RESEARCH DESIGN 35
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE,
DESIGNATION, AND REGION 37
FIGURE 4 AI IN SPORTS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 38
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN AI IN SPORTS MARKET 39
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 (DEMAND SIDE):
AI IN SPORTS MARKET 40
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: DEMAND-SIDE ANALYSIS 40
FIGURE 8 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH 41
FIGURE 9 DATA TRIANGULATION 42
FIGURE 10 AI IN SPORTS MARKET, 2024-2030 (USD MILLION) 45
FIGURE 11 AI IN SPORTS MARKET, BY REGION, 2024 46
FIGURE 12 AI-DRIVEN DATA INSIGHTS, ADVANCEMENTS IN WEARABLE TECHNOLOGY,
AND EMERGENCE OF SMART STADIUMS TO DRIVE MARKET 47
FIGURE 13 SOLUTIONS SEGMENT TO DOMINATE MARKET 47
FIGURE 14 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING
FORECAST PERIOD 48
FIGURE 15 CONSULTING SEGMENT TO LEAD MARKET IN 2024 48
FIGURE 16 PERFORMANCE ANALYTICS SEGMENT TO ACCOUNT FOR LARGEST
MARKET SHARE IN 2024 48
FIGURE 17 OTHER AI SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE
DURING FORECAST PERIOD 49
FIGURE 18 TEAM SPORTS TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD 49
FIGURE 19 SPORTS TEAMS TO HOLD LARGEST MARKET SHARE BY 2030 49
FIGURE 20 SOLUTIONS AND OTHER AI SEGMENTS TO ACCOUNT FOR LARGEST
MARKET SHARES IN 2024 50
FIGURE 21 AI IN SPORTS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES,
AND CHALLENGES 52
FIGURE 22 EVOLUTION OF AI IN SPORTS SOLUTIONS AND SERVICES 55
FIGURE 23 KEY PLAYERS IN AI IN SPORTS MARKET ECOSYSTEM 57
FIGURE 24 AI IN SPORTS MARKET: SUPPLY CHAIN ANALYSIS 59
FIGURE 25 AVERAGE SELLING PRICE OF KEY PLAYERS, BY SOLUTION, 2023 64
FIGURE 26 LIST OF KEY PATENTS FOR AI IN SPORTS, 2013-2024 67
FIGURE 27 AI IN SPORTS MARKET: PORTER'S FIVE FORCES ANALYSIS 72
FIGURE 28 AI IN SPORTS MARKET: DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES 73
FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR END USERS 74
FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE END USERS 75
FIGURE 31 AI IN SPORTS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES 78
FIGURE 32 ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542),
BY KEY COUNTRY, 2016-2023 (USD BILLION) 79
FIGURE 33 ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542),
BY KEY COUNTRY, 2016-2023 (USD BILLION) 80
FIGURE 34 INVESTMENT AND FUNDING SCENARIO, 2019-2024 (USD MILLION) 81
FIGURE 35 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING AI IN SPORTS
ACROSS VARIOUS TYPES OF SOLUTIONS 82
FIGURE 36 GENERATIVE AI BEST PRACTICES ACROSS MAJOR INDUSTRIES 84
FIGURE 37 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 87
FIGURE 38 GENERATIVE AI TYPE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 104
FIGURE 39 E-SPORTS TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 110
FIGURE 40 SPORTS MEDIA & BROADCASTING TO REGISTER HIGHEST
CAGR DURING FORECAST PERIOD 128
FIGURE 41 NORTH AMERICA: AI IN SPORTS MARKET SNAPSHOT 137
FIGURE 42 ASIA PACIFIC: AI IN SPORTS MARKET SNAPSHOT 167
FIGURE 43 REVENUE ANALYSIS FOR KEY COMPANIES, 2019-2023 208
FIGURE 44 SHARE OF LEADING COMPANIES IN AI IN SPORTS MARKET, 2023 209
FIGURE 45 MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS 212
FIGURE 46 AI IN SPORTS MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023 213
FIGURE 47 COMPANY FOOTPRINT 214
FIGURE 48 AI IN SPORTS MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023 221
FIGURE 49 BRAND/PRODUCT COMPARISON ANALYSIS 226
FIGURE 50 FINANCIAL METRICS OF KEY AI IN SPORTS MARKET VENDORS 227
FIGURE 51 COMPANY VALUATION OF KEY AI IN SPORTS MARKET VENDORS 227
FIGURE 52 MICROSOFT: COMPANY SNAPSHOT 229
FIGURE 53 IBM: COMPANY SNAPSHOT 232
FIGURE 54 ORACLE: COMPANY SNAPSHOT 236
FIGURE 55 AWS: COMPANY SNAPSHOT 239
FIGURE 56 SAP SE: COMPANY SNAPSHOT 243
FIGURE 57 INTEL: COMPANY SNAPSHOT 253
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