AI In Sports Market Size & Trends
Estimated at USD 8,917.7 million in 2024 and predicted to rise at a CAGR of 21.1% from 2025 to 2030, global artificial intelligence in sports market size Rising usage of AI-driven technology by sports teams to improve performance, simplify training, and increase fan involvement drives the expansion of the market.
Key Highlights
- North America dominated the AI market in sports and accounted for a 35.1% share in 2024.
- The Asia Pacific AI in the sports industry is experiencing rapid growth due to the demand for AI-powered sports solutions.
- Based on offering, the solution segment accounted for the largest revenue share of 60.4% in 2024.
- By technology, the generative AI (gen AI) segment accounted for the largest revenue share in 2024.
- By sports type segment, team sports accounted for the largest revenue share of the AI in sports industry in 2024.
Major growth factors include AI’s capability to process large volumes of data, deliver real-time insights, and automate various tasks, thereby enhancing decision-making and operational efficiency. Artificial intelligence (AI) is also making an impact beyond the field, playing a role in areas like sports marketing, analytics, reporting, and performance evaluation. For instance, writing tools powered by AI are helping coaches to document training sessions more effectively, while sports journalists are using AI to generate match reports.
Recent market trends highlight the growing use of AI for athlete monitoring, performance evaluation, injury prevention, and enhancing fan experiences through virtual and augmented reality. Emerging opportunities in the AI sports market include expanding its application to areas like player search and development, integrating AI with wearable devices, and creating AI-driven platforms for sports betting and gaming. For instance, in December 2023, Intel introduced the ai.io platform and aiScout app, which enable athletes globally to showcase their skills, helping clubs to discover inaccessible talent. It also enhances performance analysis and injury prevention, transforming research and player development.
The increasing use of AI-powered analytics platforms is also significantly fueling the growth of AI in the sports industry. These tools offer useful information regarding team dynamics, player performance, and opponents’ strategies. AI algorithms excel at processing various data sources, such as video footage, player-tracking information, and data from wearable sensors. AI analyzes these datasets to identify patterns or irregularities that human observation might overlook. The resulting information helps teams and coaches make more informed decisions and gain a competitive edge.
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Offering Insights
The solution segment accounted for the largest revenue share of 60.4% in 2024. The solutions are increasingly used for performance analytics, player monitoring, coaching, and game strategy in sports. The segment growth is largely driven by the adoption of advanced technologies such as machine learning, computer vision, and wearable sensors that deliver real-time, in-depth data to optimize performance and prevent injuries. The growing need for data-informed decision-making allows teams and coaches to customize training plans, refine strategies, and minimize injury risks. Additionally, the surge in sports betting, fantasy leagues, and demand for personalized fan experiences is boosting investment in AI. Innovations in cloud computing, improved connectivity, and backing from major tech companies are further accelerating the development and widespread use of AI in sports for a competitive edge.
The services segment registered a CAGR of 22.5% from 2025 to 2030. The services segment of the AI in sports market is growing due to the increasing use of AI and advanced analytics by sports organizations, driving demand for expert training, consulting, and customized system integration. As AI platforms become more complex, there is a greater need for ongoing support, maintenance, and managed services to ensure smooth performance and data security. Rising investments by professional teams and media companies in AI for performance analysis, injury prevention, and fan engagement are also growing the demand for service solutions. Additionally, the shift to cloud-based systems and real-time analytics has led to an increase in scalable integration and continuous support. Modified training and consulting services further help coaches, players, and analysts to make sense of AI insights, improving strategy and decision-making across the industry.
Technology Insights
The generative AI (gen AI) segment accounted for the largest revenue share in 2024, majorly driven by the rapid growth of data from smart devices, significant improvements in computing power, and the capability to convert data into meaningful insights. Sports organizations are playing a key role in bringing together different parts of the sports world. They handle important areas like facilities, fan experience, infrastructure, and extra events, making them a perfect fit for GenAI improvements. Gen AI helps these organizations become more creative, offer personalized experiences, and focus on meaningful goals, all while reducing repetitive work. This benefits both team leaders and those involved in the actual game.
The other AI is projected to grow significantly over the forecast period, driven by significant growth in machine learning, computer vision, predictive analysis, and natural language processing (NLP), enabling advanced data processing and real-time insights. These technologies enhance athlete performance, injury prevention, and strategic decision-making by analyzing player movements, game data, and physiological signals. Additionally, predictive analytics forecast outcomes and manage workloads, while NLP improves fan engagement through personalized training and content. Together, they enhance sports by delivering data-driven solutions that optimize training, gameplay, and fan experiences for sports.
Sports Type Insights
In 2024, team sports will account for the largest revenue share of AI in the sports industry. AI significantly enhances team strategy and game tactics by evaluating both team and opponent performances, enabling coaches to make well-informed decisions. Through predictive modeling, AI simulates various strategies and forecasts their success rates against specific opponents, helping teams craft winning game plans tailored to real-time conditions. Additionally, AI tools analyze player performance, injury risks, and training efficiency, allowing teams and athletes to optimize workloads and improve outcomes. Real-time data insights also empower coaches to adjust tactics dynamically during matches, providing a competitive edge. This growing adoption of AI-driven performance optimization is transforming how teams prepare and compete at all levels.
The esports segment is projected to grow significantly over the forecast period. The growth is driven by simplifying tournament organization and enhancing the viewer’s experience. It automates key tasks like scheduling and match tracking, ensuring smooth event management. For sports fans, AI provides real-time insights and highlights, making broadcasts more engaging and interactive, which enhances their viewing experience. It also supports player training through AI-powered bots that simulate skilled opponents. In game development, AI replicates player behavior to help developers fine-tune game mechanics and create more immersive experiences. These advancements are enhancing both the competitive gameplay and entertainment value of esports.
Regional Insights
North America dominated the AI market in sports and accounted for a 35.1% share in 2024. The growth is driven by the presence of major tech companies and top sports organizations that encourage innovation and early adoption of AI technologies. The region’s strong tech infrastructure and talented workforce from leading AI-focused universities support this growth. Major leagues in the region, such as the NFL, NBA, and MLS, are investing heavily in AI to boost player performance, fan engagement, and game strategy. The extensive use of data analytics and machine learning also allows for real-time performance tracking, injury forecasting, and personalized coaching.
U.S. AI In Sports Market Trends
The U.S. AI in the sports industry is witnessing a rise in demand, driven by the significant investments in AI platforms that enhance player performance, injury prevention, strategic decision-making, and personalized fan engagement. The growing demand for real-time data analytics and AI-driven fan experiences further propels market growth. For instance, sportsbox.ai launched an application for analyzing golf swings in 3D in the U.S., which uses AI and computer vision to provide the swing analysis in 3D motion from a single video taken on your phone.
Europe AI In Sports Market Trends
The growth of AI in the sports industry in Europe is driven by fostering physical activity and enhancing social cohesion across member states. A strong focus on data privacy within Europe ensures that the ethical use of AI in sports remains a priority, keeping a balance between technological innovation and the protection of athlete and fan data. To support this vision, the European Commission actively promotes the growth of AI in sports through various initiatives and funding mechanisms, driving research, development, and adoption of AI technologies. For instance, in March 2025, Catapult introduced Vector 8, a state-of-the-art athlete monitoring system that provides real-time, AI-powered performance insights with exceptional speed and accuracy. Equipped with advanced wearables and a cloud-based platform, Vector 8 helps coaches make quicker, more informed decisions while simplifying data handling and improving athlete preparedness.
Asia Pacific AI In Sports Market Trends
The Asia Pacific AI in the sports industry is experiencing rapid growth due to the demand for AI-powered sports solutions. Growing internet and smartphone usage allow amateur clubs and individual athletes wider access to AI tools, making advanced training and performance analysis more accessible. Countries like China, India, and Japan are making significant investments in AI-based training, performance tracking, and fan engagement, supported by government initiatives and improving sports infrastructure. Additionally, the region’s large youth population and the booming popularity of esports are further accelerating the adoption of AI in sports.
Key AI In Sports Company Insights
Prominent firms have used product launches and developments, followed by expansions, mergers and acquisitions, contracts, agreements, partnerships, and collaborations as their primary business strategy to increase their market share. The companies have used various techniques to enhance market penetration and boost their position in the competitive industry.
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Catapult is a global company committed to improving the performance of professional sports teams through cutting-edge technology and data analytics. Its mission is to boost athlete performance and safety by delivering innovative, sports-specific solutions. With a strong track record of working with top-tier teams across multiple sports, Catapult uses its deep expertise to help organizations gain a competitive edge.
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SwingVision is a sports tech company that develops AI-driven mobile apps offering real-time video analysis, statistics, and line calling for tennis and pickleball. Its goal is to make professional-level sports experiences accessible to players of all skill levels by turning smartphone footage into high-quality insights and highlights. Using patented AI technology, the platform allows users to track match statistics, measure serve speed, and review plays with features like slow motion and automatic clip creation.
Key AI In Sports Companies
The following are the leading companies in the AI sports market These companies collectively hold the largest market share and dictate industry trends.
- International Business Machines Corporation (IBM)
- Microsoft
- Catapult
- SAP SE or an SAP affiliate company
- SAS Institute Inc.
- Oracle
- Sportradar AG
- Pixellot
- SwingVision Inc.
- Zone7 Technologies Inc.
Recent Developments
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In March 2025, Catapult introduced Vector 8, an innovative athlete monitoring system engineered for exceptional speed, efficiency, and real-time decision-making. Equipped with cutting-edge wearables, instant cloud integration, and AI-powered analytics, Vector 8 enables teams to make quicker, more informed decisions and achieve unprecedented insights into athlete performance.
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In February 2025, Major League Baseball (MLB) and Sportradar extended their exclusive partnership through 2032, with MLB also taking an ownership stake in Sportradar. As part of the agreement, Sportradar will have exclusive rights to distribute MLB’s official data and audiovisual content globally. The partnership also focuses on developing innovative, AI-powered fan engagement experiences and integrity services to help drive MLB’s international expansion.
AI In Sports Market Report Scope
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Report Attribute |
Details |
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Market size in 2025 |
USD 10,605.6 million |
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Revenue forecast in 2030 |
USD 27,625.6 million |
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Growth rate |
CAGR of 21.1% from 2025 to 2030 |
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Base year for estimation |
2024 |
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Historical data |
2018-2023 |
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Forecast period |
2025-2030 |
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Quantitative units |
Revenue in USD million/billion and CAGR from 2025 to 2030 |
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Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
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Segments covered |
Offering, technology, sports type, region |
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Regional scope |
North America; Europe; Asia Pacific; Latin America; MEA |
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Country scope |
U.S.; Canada; Mexico; UK; Germany; France; China; Japan; India; South Korea; Australia; Brazil; KSA; UAE; South Africa |
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Key companies profiled |
International Business Machines Corporation (IBM); Microsoft; Catapult; SAP SE or an SAP affiliate company; SAS Institute Inc.; Oracle; Sportradar AG; Pixellot; SwingVision Inc.; Zone7 Technologies Inc. |
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Customization scope |
Free report customization (equivalent to 8 analysts' working days) with purchase. You can include or modify the scope of the country, region, and segment. |
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Pricing and purchase options |
Avail yourself of customized purchase options to meet your exact research needs. Explore purchase options |
Global AI In Sports Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, MIR has segmented the global AI in sports market report based on offering, technology, sports type, and region
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Offering Outlook (Revenue, USD Million, 2018-2030)
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Solution
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Services
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Technology Outlook (Revenue, USD Million, 2018-2030)
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GenAI
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Other AI
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Sports Type Outlook (Revenue, USD Million, 2018-2030)
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Individual
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Team Sports
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Esports
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Regional Outlook (Revenue, USD Million, 2018-2030)
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North America
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U.S.
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Canada
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Mexico
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Europe
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UK
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Germany
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France
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Asia Pacific
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China
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Japan
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India
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South Korea
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Australia
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Latin America
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Brazil
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Middle East and Africa (MEA)
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KSA
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UAE
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South Africa
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