AI In Sports Global Market Report 2025

AI in sports involves the utilization of artificial intelligence techniques, including machine learning and computer vision, to enhance different aspects of sports performance, training, and fan engagement. This entails employing algorithms to analyze and process data from various sources, such as sensors, video footage, and other information channels, to provide insights and recommendations to athletes, coaches, and fans.

The main categories of solutions in AI in sports include software, services, and hardware. Software encompasses the intangible components of a computer system, including programs, data, and instructions that guide the computer's operations. It is applied across various sports such as football, cricket, tennis, basketball, baseball, and others. These solutions may be deployed through cloud or on-premise setups and utilize technologies such as machine learning, natural language processing, computer vision, data analytics, among others. The applications of AI in sports span game planning, strategies, performance improvement, injury prevention, sports recruitment, and more.

The AI in sports market research report is one of a series of new reports from The Business Research Company that provides AI in sports market statistics, including AI in sports industry global market size, regional shares, competitors with a AI in sports market share, detailed AI in sports market segments, market trends and opportunities, and any further data you may need to thrive in the AI in sports industry. This AI in sports market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in sports market size has grown exponentially in recent years. It will grow from$2.39 billion in 2024 to $3.1 billion in 2025 at a compound annual growth rate (CAGR) of 29.8%. The growth in the historic period can be attributed to performance optimization demands, fan engagement enhancement, injury prevention and management, strategic decision-making, and market competitiveness

The AI in sports market size is expected to see exponential growth in the next few years. It will grow to $8.7 billion in 2029 at a compound annual growth rate (CAGR) of 29.5%. The growth in the forecast period can be attributed to evolution of sports analytics, enhanced athlete development programs, global expansion of AI technologies, growing emphasis on data security, and integration with wearable technologies. Major trends in the forecast period include the expansion of AI in esports, AI-based sports betting and predictive analytics, ethical use and data privacy concerns, collaboration with sports science and medicine, and customized fan experiences through AI.

The increasing demand for real-time data analytics is projected to drive the growth of AI in the sports market in the future. Real-time data analytics involves the continuous analysis of data as it is generated or received, enabling organizations to make prompt and informed decisions based on the most current information. This demand is rising as businesses increasingly require the ability to make swift, informed choices using up-to-date data. In the sports sector, AI-driven real-time data analytics helps teams derive valuable insights, improve performance, and make strategic decisions during games by evaluating player and game statistics in real time. For example, a report released in August 2024 by the Bureau of Labor Statistics, a US government agency, indicated that the demand for data analytics jobs is anticipated to increase by 23% from 2021 to 2031, significantly surpassing the average growth rate of 5% for all industries. Consequently, the growing demand for real-time data analytics is expected to fuel the expansion of AI in the sports market.

The rise in online gaming is another key factor propelling the growth of artificial intelligence (AI) in the sports market. Online gaming, involving playing video games over the internet, often in a multiplayer environment, has witnessed a substantial increase in participation. AI plays a pivotal role in creating more immersive and engaging online gaming experiences by facilitating realistic and dynamic interactions between virtual characters and environments. This enhances the overall gaming experience, making it more enjoyable and challenging for players. According to Uswitch Limited in 2023, there is an estimated 1.17 billion people globally who consistently play some form of online game. The surge in online gaming activities is a driving force behind the growth of AI in the sports market, as the technology contributes to the evolution of virtual sports experiences.

Technological advancements are a key and prevailing trend in the AI in sports market, with major companies actively embracing new technologies to maintain their positions. In October 2022, Epoxy ai, a US-based AI-driven sports technology solutions company, introduced its Audience Cloud technology. This innovative sports technology provides critical insights to gaming operators and sports media organizations, enabling them to better understand customer interactions with their products over time as consumer preferences change with seasons and fandoms evolve. The Audience Cloud utilizes custom-built AI to continuously capture a comprehensive picture of sports fan behavior, facilitating improved analysis for sports gaming and media. The technology gathers user data from diverse sources, including betting, viewing trends, and various contextual indicators.

Major companies operating in the AI in sports market are directing their efforts towards technological advancements, including the development of AI-powered athletes, to fortify their market positions. AI-powered athletes involve monitoring and analyzing athletes' performance using artificial intelligence, leading to optimized training programs, identification of improvement areas, and overall enhancement of athletic performance. In September 2023, Behaviol Pty Ltd., an Australia-based private company, launched the META11 Fantasy tournament, featuring the world's first-ever free-to-play, AI-powered cricket fantasy game. The tournament prioritizes player well-being and enjoyment, with AI-powered athletes designed to adapt and learn, accurately predicting game outcomes and crafting intricate narratives for characters and their stories.

In February 2022, Slinger Bag Inc., a US-based company specializing in innovative game improvement technologies, acquired Gameface.AI for an undisclosed amount. Through this strategic acquisition, Slinger Bag Inc. aims to provide more advanced and personalized training and coaching solutions, expand market reach, gain a competitive edge in the sports technology market, and differentiate itself from competitors. Gameface.AI, an Australia-based artificial intelligence software company, is focused on developing an AI platform for sports analytics, contributing to the advancement of AI applications in the sports industry.

Major companies operating in the AI in sports market include International Business Machines Corporation, SAP SE, SAS Institute Inc., Sportradar AG, Amazon Inc., Microsoft Corporation, Apple Inc., Opta Sports company, Catapult Group International Ltd., Trumedia Networks, Salesforce.com Inc., Synergy Sports Technology, Krossover, The Chyron Corporation, FocusMotion, VeoRide Inc., Athos, Arccos Golf LLC, Square Off, Kitman Labs, Zone7 Technologies Inc, KINEXON Sports & Media GmbH, Second Spectrum Inc., Zebra Technologies India Pvt. Ltd., Facebook Inc., Stats Perform, ChyronHego Corporation, ShotTracker Inc., PlaySight Interactive Inc., Hawk-Eye Innovations Ltd.

North America was the largest region in the AI in sports market in 2024. Asia-Pacific is expected to be the fastest-growing region in the global AI in sports market report during the forecast period. The regions covered in the ai in sports market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in sports market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in the sports market consists of revenues earned by entities by providing AI in sports services such as athlete tracking and analysis, injury prevention and rehabilitation, game strategy optimization, broadcast production, and ticketing services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in sports market also includes sales of wearable technology devices, smartwatches, fitness trackers, athlete tracking and analysis tools, and AI sports equipment, which are used in providing AI in sports services. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Sports Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in sports market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in sports ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in sports market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Solution: Software; Hardware
• 2) By Game Type: Football; Cricket; Tennis; Basketball
• 3) By Deployment: Cloud; On-Premise
• 4) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Data Analytics; Other Technologies
• 5) By Application: Game Planning; Game Strategies; Performance Improvement; Injury Prevention Sports Recruitment; Others Applications
• Subsegments:
• 1) By Software: Analytics Software; Player Tracking Software; Performance Monitoring Software; Video Analysis Software; Game Strategy Software
• 2) By Hardware: Wearable Devices; Smart Cameras; Sensors; Drones; GPS Devices
• Companies Mentioned: International Business Machines Corporation; SAP SE; SAS Institute Inc.; Sportradar AG; Amazon Inc.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.