The global AI in Sports market is projected to grow from USD 1.03 billion in 2024 to USD 2.61 billion by 2030, with a robust CAGR of 16.7% during this period. This growth is fueled by the increasing integration of data and technology in sports, empowering organizations to optimize athlete performance, enhance operational efficiency, and elevate the fan experience. AI-driven analytics play a critical role by processing large-scale data to refine game tactics, prevent player injuries, and manage resources more effectively. Innovations like IBM’s Watsonx.ai, launched in May 2023, enable real-time monitoring of players’ physical conditions and support strategic planning. Additionally, the combination of IoT and AI is transforming venues into smart stadiums, exemplified by Cisco’s Connected Stadium Solution. These advancements are revolutionizing the sports industry, paving the way for a more dynamic, efficient, and engaging future.
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“By Sports Type, e-Sports is expected to hold the highest growth rate during the forecast period.”
The e-sports sector is expected to grow significantly faster than other gaming categories, primarily due to its digital nature, which allows AI technologies to be seamlessly integrated into the virtual environment. For example, AI competitors developed by Google and OpenAI have been used in high-profile contests, such as the Dota 2 competition, where an OpenAI bot played against professional gamers.
Moreover, performance evaluation has also become more efficient with AI systems that focus on analytics. AI has revolutionized performance evaluation in e-sports by analyzing large datasets to identify trends and opponent strategies. e-Sports teams use this data to refine their gameplay in real time. Mobalytics, an American e-sports company, for instance, leverages AI to provide personalized insights, helping gamers improve their performance by highlighting strengths and areas for growth.
Furthermore, AI is also transforming the experience of players in virtual games. Anaconda, an operating system for AI, supports AHDS (Artificial Human Decision Systems) by making content recommendations and facilitating chat moderation on platforms like Twitch, enhancing the quality of the gaming experience. Adopting AI-driven systems is particularly beneficial given the highly informed and digitally active audience of e-Sports. This quick and seamless integration helps grow the market by attracting more players and enhancing their engagement.
“Based on End User, Sports Teams segment will hold the largest market size during the forecast period.”
The sports teams segment is projected to account for the largest market size in AI in Sports market during the forecast period owing to its actual implementation in enhancing performance, conceptualizing strategies, and engaging fans. Teams have begun employing AI-driven systems such as performance analysis systems and injury preventive systems to remain competitive. For instance, Machester City, a football team, applies the tactical analysis of AI where they can change strategies during a match.
Moreover, AI is improving decision-making in data-intensive areas such as talent scouting. For example, systems like IBM’s Watsonx assess a player’s potential based on statistics and determine which teams would be the best fit. Wearable technologies in sports, such as those from Catapult Sports, use intelligent AI systems to monitor a player’s on-field performance and health metrics, enhancing training processes and helping to reduce injuries.
Another important factor is fan engagement. AI programs, such as chatbots and recommendation engines, enhance engagement and lead to increased sales of tickets and merchandise. For instance, NBA teams and other American sports organizations have implemented AI technology to enhance fan interaction with the team through 3D technology.
“By Offering, solutions are expected to hold the highest market share during the forecast period.”
The solutions segment of the AI in sports market is expected to maintain the largest share during the forecast period due to their practical applications in enhancing performance, strategies, and fan engagement. Solutions such as advanced analytics platforms, computer vision tools, and predictive modeling are designed to deliver intelligent insights that support informed decision-making.
For instance, Catapult analytical platform is an example of analytics suite that most teams use to track the players’ performance, control injuries, and adjust training regimes. In the same way, computer vision technology from HawkEye Company in sports is used to make calls during the game using real-time information, for example, goal line technology in soccer. Furthermore, it also helps coaches and the entire team create methods for the games through game analysis by using predictive analytics and looking at previous and current statistics to foresee what the other team will do.
These solutions combine AI features with devices such as cameras and wearables to form an integrated system that improves productivity. Teams and organizations are implementing more of these tools powered by AI to enhance the competitive edge and provide rich experiences for the audiences, for instance, through personalized content suggestions or active participation during live events.
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Unique Features in the AI in Sports Market
AI-powered tools analyze vast amounts of player data, including physical metrics, performance statistics, and historical trends, to fine-tune training regimens and game strategies. This helps coaches and players make data-driven decisions to enhance performance and reduce injury risks.
AI systems like IBM’s Watsonx.ai provide real-time monitoring of players’ physical conditions, enabling instant feedback and adjustments. These insights support strategic planning and improve on-field decision-making during games.
AI is revolutionizing the fan experience through personalized content, predictive analytics, and interactive platforms. From virtual assistants to dynamic ticket pricing and tailored game-day experiences, AI ensures fans are more connected than ever.
Integrating AI with IoT technology, solutions like Cisco’s Connected Stadium Solution transform traditional venues into smart stadiums. These facilities feature optimized resource management, improved crowd control, and immersive fan experiences through augmented reality (AR) and real-time updates.
AI leverages predictive analytics to assess player fatigue, predict potential injuries, and recommend recovery protocols. This proactive approach helps sports organizations minimize downtime and extend player careers.
AI systems provide deep insights into team and opponent strategies by analyzing game footage and statistics. These insights enable teams to adapt tactics and gain a competitive edge.
Major Highlights of the AI in Sports Market
AI-driven analytics enable detailed evaluation of player metrics, helping athletes and coaches optimize performance, refine strategies, and reduce injury risks through predictive modeling and personalized training programs.
Technologies like IBM’s Watsonx.ai deliver real-time insights into players’ physical conditions, game performance, and tactical adjustments, allowing teams to make data-informed decisions during matches.
The integration of AI and IoT has revolutionized stadium operations with solutions such as Cisco’s Connected Stadium Solution. These smart venues feature advanced resource management, crowd control systems, and immersive experiences for fans.
AI is transforming the way fans engage with sports by offering personalized content, dynamic ticketing, virtual assistants, and predictive game analysis, fostering deeper connections with teams and events.
Through predictive analytics and machine learning, AI identifies early signs of fatigue or potential injuries, enabling timely interventions and effective recovery protocols for players.
AI-powered tools analyze game footage, player statistics, and opponent strategies to provide actionable insights, giving teams a competitive edge in adapting their game plans.
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Top Companies in the AI in Sports Market
Companies such as Catapult Group (US), IBM (US), ChyronHego (US), Sportsradar (US), and Microsoft (US), are dominating the AI in Sports market. To increase their market share, these competitors have used various growth methods, including partnerships, agreements, collaborations, new product releases, product enhancements, and acquisitions.
Cisco Systems
Cisco Systems (Cisco) is a technology-based organization that specializes in networking, security, collaboration, applications and cloud services. They have solutions for the AI in Sports vertical which improves fan engagement, player performance and operational efficiency. Products such as Connected Stadium Solution and Cisco Vision are based on Al, loT and data to enhance the fan experience, deliver game AI updates, control specific digital signage and manage the venue with data, and so on. In 2024, Cisco announced USD 57.0 billion revenue and maintained a global workforce of approximately 84,900 employees. In each of these regions, including North America, Europe, Asia Pacific as well as Latin and Central Africa, they were present.
In 2024, the company launched a global USD 1.0 billion Al investment fund to advance innovation in foundational Al models and enterprise adoption. In recent years, Cisco has also rolled out AI-powered innovations such as Nexus HyperFabric AI pods and cloud infrastructure management for AI lifecycle resiliency for various industries including sports. Through its collaboration with McLaren Racing, Cisco illustrates how they are leveraging AI-based technologies for sports, making them more integrated for the benefit of fans, security, and efficient running of the venues.
IBM
IBM’s business activities revolve around four major segments: Software, Consulting, Infrastructure and Financing. They have a wide range of activities, which include analytics, cloud and cognitive technologies, commerce, IoT, industry solutions, mobile solutions, security, and social solutions, among others. In the Al in sports market, IBM offers solutions in Watsonx.ai to enhance player performance, operational capabilities, and fan involvement. Using Al, machine learning (ML), and data analytics, Watsonx.ai provides real-time insights into player fitness, team strategy, and audience behavior and improves fan experience through predictive analytics, personalized services, and mobile ticketing. It’s noteworthy that IBM has developed advanced safety systems for venues, which are AI-based and offer security against undesirable occurrences. In 2023, IBM collaborated with the Ultimate Fighting Championship (UFC) to create the UFC Insights Engine by utilizing the power of Watsonx and Granite large language models (LLM) to provide real-time insights on the movements of fighters and predictions of the outcomes of the fights among others. The solution is expected to launch in 2025 and will be integrated with UFC broadcasts and platforms to enhance fan engagement and data-driven sports interaction. In 2023, IBM reported revenue of USD 61.9 billion with a global workforce of 282,000 employees. IBM has operations in North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
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