AI In Sports Global Market Report 2026

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.

Tariffs have influenced the AI in sports market by raising costs of imported sensors, smart cameras, wearable devices, and data processing hardware. Hardware-intensive applications such as player tracking and performance monitoring are most affected, particularly in north america and europe. Increased equipment costs can slow adoption among smaller clubs and training centers. However, tariffs are encouraging software-centric solutions and cloud-based analytics platforms. This transition is improving accessibility and long-term cost efficiency across the sports ecosystem.

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 $3.08 billion in 2025 to $3.99 billion in 2026 at a compound annual growth rate (CAGR) of 29.4%. The growth in the historic period can be attributed to growth of professional sports leagues, adoption of video analysis tools, increasing investment in athlete performance optimization, rise of sports broadcasting revenues, expansion of wearable devices.

The AI in sports market size is expected to see exponential growth in the next few years. It will grow to $11.03 billion in 2030 at a compound annual growth rate (CAGR) of 29.0%. The growth in the forecast period can be attributed to integration of AI in coaching decisions, growing use of real-time performance data, demand for personalized fan experiences, expansion of smart stadiums, adoption of predictive analytics in sports recruitment. Major trends in the forecast period include player performance analytics, ai-based injury prevention systems, computer vision for game analysis, wearable sports technology, fan engagement and experience analytics.

The growing popularity of e-sports is anticipated to drive the expansion of the artificial intelligence (AI) in sports market in the coming years. E-sports involves competitive video gaming where individuals and teams participate in organized digital tournaments. The rise of e-sports is largely attributed to the rapid growth of online streaming platforms, which make competitive gaming readily accessible to audiences worldwide. Artificial intelligence (AI) in sports is applied in e-sports to evaluate gameplay data and enhance player performance through real-time insights and strategic guidance. For instance, in December 2023, according to Fusion CPA, a US-based consulting firm, around 530 million viewers interacted with eSports through platforms such as Twitch, with projections indicating an increase to 577 million by 2024. Hence, the increasing popularity of e-sports is contributing to the growth of the artificial intelligence (AI) in the sports market.

Major companies operating in the artificial intelligence (AI) sports market are emphasizing technological innovations such as AI-powered athletes to maintain their competitive edge. AI-powered athletes refer to players whose performance is tracked and assessed using artificial intelligence (AI) technology. The insights generated are utilized to refine training programs, detect performance gaps, and improve overall athletic efficiency. For instance, in September 2023, Behaviol Pty Ltd., an Australia-based company, introduced the first-ever fantasy cricket tournament featuring AI-powered athletes. The tournament, titled META11 Fantasy, is the world's first free-to-play, AI-driven cricket fantasy game. It has been developed with a strong focus on player enjoyment and well-being, while the AI-powered athletes are designed to adapt and learn, accurately forecasting match outcomes and creating detailed storylines for the characters and their journeys.

In September 2025, Minute Media, a US-based media technology company, acquired VideoVerse for an undisclosed sum. Through this acquisition, Minute Media seeks to enhance its video technology capabilities and broaden its footprint in the sports media and entertainment landscape by integrating advanced AI-based video solutions into its platform. VideoVerse is an India-based company that offers AI-powered sports video technology, enabling automated content creation, editing, and distribution for broadcasters, sports leagues, and digital platforms.

Major companies operating in the AI in sports market are Sportradar AG; Opta Sports; Catapult Group International Ltd.; Trumedia Networks; Synergy Sports Technology; Krossover; FocusMotion; VeoRide Inc.; Athos; Arccos Golf LLC; Kitman Labs; Zone7 Technologies Inc; KINEXON Sports & Media GmbH; Second Spectrum Inc.; Zebra Technologies India Pvt. Ltd.; Stats Perform; ShotTracker Inc.; PlaySight Interactive Inc.; Hawk-Eye Innovations Ltd.; Square Off

North America was the largest region in the AI in sports market in 2025.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, South East Asia, 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, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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, including technological disruption, regulatory shifts, and changing consumer preferences? 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• 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.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

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; Computer Vision; Data Analytics; Other Technologies
• 5) By Application: Game Planning; Game Strategies; Performance Improvement; Injury Prevention; Sports Recruitment; Other 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: Sportradar AG; Opta Sports; Catapult Group International Ltd.; Trumedia Networks; Synergy Sports Technology; Krossover; FocusMotion; VeoRide Inc.; Athos; Arccos Golf LLC; Kitman Labs; Zone7 Technologies Inc; KINEXON Sports & Media GmbH; Second Spectrum Inc.; Zebra Technologies India Pvt. Ltd.; Stats Perform; ShotTracker Inc.; PlaySight Interactive Inc.; Hawk-Eye Innovations Ltd.; Square Off
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; 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.
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