AI in Sports Market Size, Share and Trends 2025 to 2034

AI in Sports Market Size and Forecast 2025 to 2034

The global AI in sports market size accounted for USD 8.93 billion in 2024 and is predicted to increase from USD 10.82 billion in 2025 to approximately USD 60.78 billion by 2034, expanding at a CAGR of 21.14% from 2025 to 2034. The market growth is attributed to the rising integration of AI-driven analytics for injury prevention, tactical planning, and fan personalization across major sports leagues and training ecosystems.

AI in Sports Market Key Takeaways

• The global AI in sports market was valued at USD 8.93 billion in 2024.
• It is projected to reach USD 60.78 billion by 2034.
• The market is expected to grow at a CAGR of 21.14% from 2025 to 2034.
• North America dominated the global AI in sports market with the largest share of 35% in 2024.
• Europe is expected to grow at the fastest CAGR from 2025 to 2034.
• By type of AI technology, the machine learning segment held the major market share in 2024.
• By type of AI technology, the computer vision segment is expected to grow at a significant CAGR during the forecast period.
• By application, the performance analysis segment contributed the biggest market share in 2024.
• By application, the fan engagement segment is expected to expand to a significant CAGR in the coming years.
• By sport, the soccer segment captured the highest market share in 2024.
• By sport, the basketball segment is expected to grow at a notable CAGR over the projection period.
• By end-user, the athletes segment accounted for major market share in 2024.
• By end-user, the leagues segment is expected to grow at a notable CAGR between 2025 and 2034.

U.S. AI in Sports Market Size and Growth 2025 to 2034

The U.S. AI in sports market size was exhibited at USD 2.19 billion in 2024 and is projected to be worth around USD 15.21 billion by 2034, growing at a CAGR of 21.39% from 2025 to 2034.

North America dominated the AI in sports market, capturing the largest revenue share in 2024. This is due to the high rate of digital adoption, strong infrastructural development, and the early adoption of AI in professional leagues. The NFL, NBA, and MLB were vocally distributing machine learning and computer vision-based tools. This improves in-game analytics, the correctness of officiating, and fan engagement.

Institutions such as MIT, Stanford University, and Carnegie Mellon, partnered with teams to test cutting-edge systems to predict injury and optimize performance. TechCrunch highlighted the use of AI-generated content personalization of streaming services during the 2024 Super Bowl. This enabled multi-angle replay and interactive start overlays that could be customized to the interests of the viewer. These factors solidified the dominance of North America in the AI-enabled sports ecosystem. Moreover, the National Hockey League (NHL) incorporated predictive AI models in travel logistics and load management, further facilitating market growth.

(Source: https://techcrunch.com)

Europe is expected to grow at the fastest CAGR during the forecast period, with extensive usage of performance technologies, innovation programs at the league level, and effective interaction of sports federations and AI research centers. High-profile football leagues, such as the Bundesliga and LaLiga, implemented high-end AI applications in tactical analysis, injury prevention, and automated video review. Colleges, such as Imperial College London and ETH Zurich, collaborated with high-level training centers to create AI-based technologies that measure neuromuscular fatigue and decreased injury rates.

The centralized AI platforms for youth development and grassroots scouting were backed by national federations, including The Football Association (FA) and Deutscher Fußball-Bund (DFB), securing data flow from amateur to professional levels. Furthermore, these AI technologies offer improved fan experiences over digital and television platforms for multi-language commentary and live replay overlays, further benefiting European sports leagues.

Asia Pacific is expected to grow at a notable rate in the market during the forecast period, owing to the significant increase in investments in smart infrastructure and government-initiated digitalization of sports. Nations like China, India, Japan, and South Korea had increased the use of AI both at national and grass root levels. According to the Boston Institutes of Analytics 2025 report, the Indian Premier League (IPL) 2024 season used AI-powered predictive models to ensure the optimized result of matches and ticketing patterns inside smart stadiums.

The Tokyo Football Association started to implement the AI referee training module in partnership with Kyoto University, improving the refereeing consistency in the regional tournaments. BBC Sport reported that at the Hangzhou Asian Games 2024, AI-powered broadcast technologies provided multilingual commentary and customized match highlights, helping to set a new digital viewing record. Such advancements demonstrate the determination of Asia Pacific to accelerate the use of AI-based solutions in terms of performance optimization, fan experience, and infrastructure upgrades in this region.

(Source: https://bostoninstituteofanalytics.org)
(Source: https://www.bbc.com)

Market Overview

The AI in sports market is growing rapidly due to the increasing need for performance optimization in professional sports. Artificial intelligence in athletics involves the deployment of machine learning, computer vision, and natural language processing technologies to analyze athlete performance, automate coaching insights, manage fans, and improve refereeing. AI systems use data from sensors, wearables, and video feeds to provide predictive analytics and real-time decision support. The International Olympic Committee (IOC) collaborated with AI research labs to pilot automated performance feedback systems in training sessions in training for Paris 2024. Furthermore, the growing focus on data-driven, immersive sporting experiences is also likely to contribute to increased AI use in both elite and grassroots sport.

AI in Sports Market Growth Factors

• Rising Demand for AI in Esports Training: The growing popularity of competitive gaming is fuelling the integration of AI for personalized esports athlete development and tactical simulations.
• Boosting the Use of AI in Scouting and Recruitment: AI-powered talent identification platforms are streamlining scouting processes by driving data-backed evaluations of emerging athletes.
• Driving Adoption in Fantasy Sports and Betting: AI-enhanced prediction engines are transforming fantasy sports and real-time betting by boosting user engagement and revenue optimization.
• Expanding Role of AI in Broadcast Commentary: Natural language processing tools are propelling AI-generated commentary and multilingual analysis to enhance sports media experiences.
• Growing Integration in Wearable Tech Ecosystems: AI-driven insights from smart wearables are driving continuous athlete monitoring and biometric performance feedback.
• Fueling AI-Based Mental Health Support Systems: Teams are increasingly deploying AI tools to monitor athlete psychology and wellness, boosting holistic performance strategies.
• Accelerating Use in Automated Training Simulators: AI-enabled simulators are enhancing technical drills and game scenarios, driving training accuracy across youth and professional levels.

Market Scope

Market Dynamics

Drivers

Demand for Data-driven Performance Analysis

The increasing demand for data-driven performance analysis is expected to drive the growth of the AI in sports market. The popularity of data-based performance analysis is rising within the sports sector, boosting the adoption of AI tools. AI-powered technology is increasingly used in teams and coaching to capture, analyze, and interpret in-game and training data with a very high degree of accuracy. Computer vision and machine learning platforms measure biomechanics, detect fatigue signs, and optimize recovery processes. In 2024, MIT Technology Review highlighted AI systems used by Premier League clubs to lower injury rates by more than 20% using player workload monitoring systems provided by Zone7. In 2024, IEEE Spectrum reported that scientists at Stanford University had trained an AI model to forecast changes in player performance based on multimodal data on 150 professional athletes. Furthermore, professional leagues and franchises are investing in AI-enhanced metrics to gain insights into player efficiency and match results, further fueling the market in the coming years.

(Source: https://www.technologyreview.com)
(Source: https://ieeexplore.ieee.org)

Restraint

Absence of Standardized Frameworks

The lack of standardized frameworks for AI implementation is anticipated to hinder the growth of AI in the sports market. The absence of standardized frameworks can cause discrepancies in adoption across sports and regions. Different approaches to using AI in performance tracking, officiating, and fan engagement create disconnected ecosystems. A lack of interoperability standards prevents developers from designing interoperable systems and organizations from accessing reliability. This results in slower adoption rates, poor interoperability between platforms, and higher operation costs in tailoring AI tools to fit rules and settings.

Opportunity

Surging Investments in Smart Stadium Infrastructure

Surging investments in smart stadium infrastructure are likely to create immense opportunities for the players competing in the market. The boom in investments in intelligent stadium systems probably promotes the use of AI in sports ecosystems. Arena operators implement AI-based software for crowd management, real-time monitoring, ticketing efficiency, and fan experience personalization. Such systems utilize facial recognition, predictive analytics, and sentiment analysis to enhance security, congestion, and personalization of experiences in a venue. The BBC Sport reported on the International Olympic Committee using AI-powered translation and accessibility services in Paris 2024, which includes live sign-language avatars and multilingual support, enhancing accessibility to audiences around the world. These apps highlight the AI’s role in transforming stadium functionality and sports experience.

(Source: https://www.bbc.com)

Type of AI Technology Insights

The machine learning segment dominated the AI in sports market with the largest share in 2024. This is mainly due to its wide application in the performance analysis of players, injury forecasting, and tactical decision-making. Machine learning models are uses heavily by organizations to analyze the large scale of structural and unstructural data collected through wearables, GPS trackers, and video feeds. These models enable real-time player ratings, opponent strategy predictions, and optimal lineup selection. Predictive analytics, especially in football, basketball, and baseball, provide a competitive edge by leveraging large datasets for model training and deployment. This expands machine learning's influence on sports decision-making.

The computer vision segment is expected to grow at a significant rate in the upcoming period due to its essential role in analyzing live matches, assisting referees, and enhancing fan experiences. Complex camera systems and computer visiskn algorithms track ball trajectories, player movements, and officiating accuracy across sports. Computer vision applications have improved VAR (Video Assistant Referee) decisions in football and automated highlight generation and biometric evaluations.

In August 2024, IEEE Spectrum reported that advanced vision models, trained on high-frame-rate images, increase motion prediction accuracy by over 35%, changing how analysts assess in-game performance. Major leagues use AI-based video technology for precise information in broadcasts and training. The increasing use of CV-enhanced cameras for real-time shot detection and release-speed analysis further boosts this segment.

(Source: https://ieeexplore.ieee.org)

Application Insights

The performance analysis segment dominated the AI in sports market with the largest revenue share in 2024 due to the increasing demand for data-driven methodology to maximize athletes performance and long-term planning. Teams embraced AI-enabled systems to monitor the movements of players and the behaviors of their opponents in a very precise manner. These tools help coaches and analysts identify gameplay inefficiencies and reduce overtraining risks. Real-time feedback loops refine on- and off-field decision-making, driving the segment forward.

The fan engagement segment is expected to expand at a significant CAGR in the coming years owing to the increasing need to improve experiences of the audience. The fan engagement segment is expected to grow significantly due to increasing investment in immersive, personalized, and interactive audience experiences. Franchises and event producers are implementing AI-powered chatbots, recommendation engines, and AR/VR capabilities. This delivers personalized content and live communication to mobile devices and in-stadium screens. AI is also used to simulate match scenarios for fan voting campaigns and boost real-time fan participation, further driving demand for these AI-based fan engagement solutions.

Sports Insights

The soccer segment dominated the AI in sports market with a maximum share in 2024 due to the incraesed adoption of AI in major leagues, clubs, and training academies across the globe. Machine learning and computer vision models are increasingly implemented by teams for real-time player tracking, ball path analysis, and tactical structure assessment. Elite competitions like the Premier League, Serie A, and La Liga introduced AI-based performance dashboards to improve player workload and injury management.

The basketball segment is expected to grow at a significant rate over the projection period, driven by the growing use of AI to predict shots, simulate plays, and enhance fan experiences. By 2024, the NBA had extended its collaborations with AI startups for on-court analytics and vision-based analytics in live broadcasts and practice sessions. This allows dynamic player heatmaps, dribble trajectory modeling, and real-time fatigue measurement. These developments will speed the transformation of basketball into a data-driven, AI-optimized competition that balances analytics with an engaging fan experience.

End-User Insights

The athletes segment dominated the AI in sports market with the largest revenue share in 2024, due to increased focus on individual performance optimization, health tracking, and injury prevention. Top athletes used AI-enhanced systems for gaining instant data on biomechanics, fatigue, and nutrition. A 2024 study by MIT Media Lab noted that AI-powered wearables monitored over 20,000 data points per second to optimize sprint mechanics in track athletes, reducing injury risk in pre-season training. These advances enabled data-driven decisions for athletes to extend physical longevity and competitive output. AI also became involved in training routines, including mental health analytics, providing a mental advantage to physical preparedness, making athletes early adopters of individualized AI environments in athletics.

The leagues segment is expected to grow at the fastest rate in the coming years, as governing bodies increase AI use in operational control, competition integrity, and broadcast innovation. AI-enhanced referee support systems, biometric screening, and fan analytics are part of the NBA, NFL, and FIFA-approved tournaments. IEEE Spectrum reported that a majority of North American professional basketball leagues use AI for scheduling, arena resources, and automating match analysis for broadcasters. These systems provide in-game statistics, fan emotional tracking, and coach-player communication monitoring in real time, adding transparency and efficiency. This highlights how leagues are becoming digital conductors of contemporary sports and the next frontier of AI applications in professional sports worldwide.

AI in Sports Market Companies

• Amazon
• Genius Sports
• Google
• IBM
• Informatica Technologies
• Microsoft
• Opta Sports
• Oracle
• SAP
• SAS Institute
• Stats Perform
• Talend

Recent Developments

• In June 2025, RII Sports Technology unveiled two groundbreaking AI-powered platforms, Scout AI and Graphite AI, specifically tailored for football coaches across all competitive levels. Designed to eliminate the labor-intensive nature of manual film breakdown, these tools provide near-instant game analysis by interpreting video data and transforming it into actionable insights. Positioned as virtual analytics departments, the platforms streamline complex information into accessible summaries, allowing coaches to make strategic decisions quickly without overextending staff or technology infrastructure.

(Source: https://www.cbs42.com)

• In June 2025, GRID Esports launched GRID Insights, an AI-driven analytics solution aimed at enhancing broadcast quality and viewer engagement within the esports sector. Debuting during Season 3 of the Champion of Champions Tour (CCT) for Counter-Strike 2, the tool offers real-time data visualization and performance metrics during live matches. Its compatibility extends to other major titles such as Dota 2, VALORANT, and League of Legends, reflecting growing demand for intelligent insights in both competitive play and esports betting ecosystems. 

(Source: https://ministryofsport.com)

Latest Announcement by Industry Leader

• In June 2025, KhiladiPro (KPro) secured approximately USD 1 million in its latest funding round. The investment was spearheaded by Shastra VC, an early-stage fund specializing in deep-tech and AI startups, alongside MGA Ventures, known for backing emerging ventures with unique value propositions. The fresh capital will be directed toward advancing KPro’s proprietary AI models, expanding its domestic footprint, and strengthening support systems for young athletes nationwide. Reflecting on the milestone, Utkarsh Yadav, Founder & CEO of KPro, stated, “This funding validates our mission to make world-class sports science & coaching accessible to every child in India on their smartphones, regardless of geography or background. We’re empowering current and future generations of khiladis to chase their sporting dreams. Our Visual AI platform bridges a critical gap in youth sports by delivering standardized, scalable, and engaging assessments, just on a mobile phone. From evaluating athletic potential to providing personalized video reports and national benchmarks, we make fitness and youth sports fun, competitive, and deeply inclusive.”

(Source: https://cxotoday.com)

Segments Covered in the Report

By Type of AI Technology

• Machine Learning
• Natural Language Processing
• Computer Vision
• Deep Learning
• Reinforcement Learning

By Application

• Performance Analysis
• Injury Prevention
• Training Optimization
• Fan Engagement
• Stadium Management

By Sport

• Soccer
• Football
• Basketball
• Baseball
• Cricket
• Tennis
• Golf

By End-User

• Athletes
• Coaches
• Teams
• Leagues
• Fans

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa