According to the report by Expert Market Research (EMR), the global artificial intelligence in sports market size is projected to grow at a CAGR of 29.4% between 2024 and 2032. Aided by the increasing intersection of technology and sports, the market is expected to grow significantly by 2032.
Artificial Intelligence in sports encompasses a wide array of applications, from enhancing athlete performance and fan engagement to optimising operations and management for sports organisations. AI technologies, including machine learning, computer vision, and natural language processing, are being leveraged to analyse vast amounts of data for insights that were previously unattainable.
The artificial intelligence in sports market growth is primarily driven by the increasing demand for real-time data analysis and decision-making. Sports teams and coaches are utilising AI to analyse game footage, track player movements, and assess performance metrics, enabling personalised training programs and strategies that can give athletes a competitive edge. Moreover, injury prevention and recovery have benefited immensely from AI-powered predictive analytics, helping teams reduce the risk of player injuries through workload management and monitoring.
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According to artificial intelligence in sports market analysis, fan engagement is another area where AI is making significant inroads. Personalised content delivery, automated highlights, virtual reality (VR) experiences, and chatbots are enhancing the fan experience, making it more interactive and engaging. AI-driven platforms enable fans to access personalised content and insights, deepening their connection to the teams and athletes they support.
The operational efficiency of sports organisations is also influencing artificial intelligence in sports market expansion. From ticket sales and fan engagement strategies to stadium operations and merchandise logistics, AI is helping streamline operations, reduce costs, and improve the bottom line. Predictive analytics are used to forecast ticket demand, optimise pricing strategies, and enhance the overall fan experience at events. The integration of AI in sports is leveraging technologies such as machine learning, natural language processing, computer vision, and data analytics. These technologies are being applied across various applications, including game planning, game strategies, performance improvement, injury prevention, and sports recruitment.
North America continues to occupy significant artificial intelligence in sports market share due to its vibrant domestic league systems and significant investments in sports at both the university and league levels. The United States, in particular, is leading in the incorporation of AI into sports, impacting pre-game and in-game strategies, player performance, and safety measures in sports like auto racing through deep learning technologies.
AI is being used to create more engaging fan experiences, both in stadiums and online in the artificial intelligence in sports market. This includes personalised content delivery, improved interaction with favourite teams or athletes, and augmented reality (AR) experiences that bring fans closer to the action. Wearable devices equipped with AI are providing deeper insights into athlete performance and health, enabling personalised training programs and early detection of potential injury risks. This trend is not only about enhancing performance but also about extending athletes’ careers and improving their well-being.
Artificial Intelligence is transforming the sports sector at an unprecedented pace, offering new opportunities for athletes to improve their performance, for fans to engage with sports on a deeper level, and for organisations to operate more efficiently. As per the artificial intelligence in sports market outlook, AI technologies continue to evolve and become more accessible, their impact on sports is expected to grow, heralding a future where AI is an integral part of the sports landscape. The journey of AI in sports is just beginning, and its potential to revolutionise the game is boundless, promising a more dynamic, personalised, and engaging sports experience for all.
Global Artificial Intelligence In Sports Market Segmentation
The market can be divided based on component, deployment, game type, application, and region.
Market Breakup by Component
- Software
- Service
Market Breakup by Deployment
- Cloud
- On-premises
Market Breakup by Game Type
- Football
- Cricket
- Tennis
- Basketball
- Baseball
- Others
Market Breakup by Application
- Game Planning
- Game Strategies
- Performance Improvement
- Injury Prevention
- Sports Recruitment
- Others
Market Breakup by Region
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
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Competitive Landscape of Global Artificial Intelligence In Sports Market
The EMR report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the global artificial intelligence in sports market. Some of the major players explored in the report by Expert Market Research are as follows:
- IBM Corporation
- SAS Institute Inc.
- Salesforce, Inc.
- Catapult Group International Ltd
- STATS LLC
- Sportradar AG
- V7 Ltd.
- DataRobot, Inc.
- Sony Group Corporation
- Others
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