This report describes and explains the AI in sports market and covers 2020-2025, termed the historic period, and 2025-2030, 2035F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global AI in sports market reached a value of nearly $3.08 billion in 2025, having grown at a compound annual growth rate (CAGR) of 26.9% since 2020. The market is expected to grow from $3.08 billion in 2025 to $9.08 billion in 2030 at a rate of 24.1%. The market is then expected to grow at a CAGR of 22.7% from 2030 and reach $25.24 billion in 2035.
Growth in the historic period resulted from expansion of scalable cloud-based service adoption, rising demand for wearable technology in sports, rise in mobile and app-based sports platforms and rising emphasis on athlete health and safety. Factors that negatively affected growth in the historic period were high implementation and maintenance costs for AI systems and data privacy and security concerns.
Going forward, rise in integration with IoT and AR/VR, rise in demand for fan engagement and personalization, rise in demand for skill development and rise in demand for real-time data analytics will drive the growth. Factors that could hinder the growth of the AI in sports market in the future include shortage of skilled professionals with dual expertise in AI and sports, complexity in integrating ai with existing sports infrastructure and impact of trade war and tariff.
Market trends for the AI in sports market include Strategic AI Partnership Enhances Real-Time Race Intelligence And Sustainable Event Operations, Global Accelerator Program Drives AI Innovation Across The Sports Ecosystem, Cloud-Based AI Enhances Basketball Analytics And Interactive Fan Experiences and AI-Integrated Digital Tools Streamline Sports Betting And Boost Fan Engagement.
The AI in sports market is segmented by solution into hardware, software and services. The software market was the largest segment of the AI in sports market segmented by solution, accounting for 58.5% or $1.8 billion of the total in 2025. Going forward, the services segment is expected to be the fastest-growing segment in the AI in sports market segmented by solution, at a CAGR of 31.5% during 2025-2030.
The AI in sports market is segmented by game type into badminton, baseball, basketball, cricket, cycling, hockey, ice hockey, racing, rugby, soccer, table tennis, tennis volleyball, wrestling/boxing, mixed martial arts, American football, golf and other game types. The soccer was the largest segment of the AI in sports market segmented by game type, accounting for 25.4% or $784.4 million of the total in 2025. Going forward, the badminton segment is expected to be the fastest-growing segment in the AI in sports market segmented by game type, at a CAGR of 31.5% during 2025-2030.
The AI in sports market is segmented by deployment into cloud and on-premise. The on-premise market was the largest segment of the AI in sports market segmented by deployment, accounting for 59% or $1.82 billion of the total in 2025. Going forward, the cloud segment is expected to be the fastest-growing segment in the AI in sports market segmented by deployment, at a CAGR of 27.9% during 2025-2030.
The AI in sports market is segmented by technology into machine learning, natural language processing, computer vision, data analytics and other technologies. The machine learning market was the largest segment of the AI in sports market segmented by technology, accounting for 34.4% or $1.06 billion of the total in 2025. Going forward, the computer vision segment is expected to be the fastest-growing segment in the AI in sports market segmented by technology, at a CAGR of 27.9% during 2025-2030.
The AI in sports market is segmented by application into game planning, game strategies, performance improvement, injury prevention, sports recruitment and other applications. The performance improvement market was the largest segment of the AI in sports market segmented by application, accounting for 32.8% or $1.01 billion of the total in 2025. Going forward, the injury prevention segment is expected to be the fastest-growing segment in the AI in sports market segmented by application, at a CAGR of 28.6% during 2025-2030.
North America was the largest region in the AI in sports market, accounting for 37.2% or $1.12 billion of the total in 2025. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the AI in sports market will be Asia Pacific and Middle East where growth will be at CAGRs of 28% and 27.3% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 24.9% and 22.7% respectively.
The global AI in sports market is fairly fragmented, with a large number of small players operating in the market. The top 10 competitors in the market made up 21.1% of the total market in 2024. Stats Perform was the largest competitor with a 7.2% share of the market, followed by Sportrader AG with 4.4%, Microsoft Corporation with 1.7%, Amazon.Com Inc, with 1.3%, Alphabet Inc. (Google LLC), with 1.2%, International Business Machines Corporation (IBM) with 1.1%, SAP SE with 1%, Meta Platforms with 0.9%, Oracle Corporation with 0.8% and KINEXON Sports & Media GmbH with 0.6%.
The top opportunities in the AI in sports market segmented by solution will arise in the software segment, which will gain $2.97 billion of global annual sales by 2030. The top opportunities in the AI in sports market segmented by game type will arise in the soccer segment, which will gain $2.12 billion of global annual sales by 2030. The top opportunities in the AI in sports market segmented by deployment will arise in the cloud segment, which will gain $3.07 billion of global annual sales by 2030.The top opportunities in the AI in sports market segmented by technology will arise in the machine learning segment, which will gain $2.07 billion of global annual sales by 2030. The top opportunities in the AI in sports market segmented by application will arise in the performance improvement segment, which will gain $2.07 billion of global annual sales by 2030. The AI in sports market size will gain the most in the USA at $1.74 billion.
trategies.
Player-adopted strategies in the AI in sports market include focus on strategic partnerships to expand their business expertise.
Market-trend-based strategies for the AI in sports market include focus on strategic partnerships to integrate advanced artificial intelligence (AI) models, fostering innovation through startup accelerators, strategic partnerships, and funding programs to scale artificial intelligence, leveraging cloud-based artificial intelligence (AI) platforms to transform player analytics, enhance broadcast and advancing towards integrating artificial intelligence (AI)-driven tools into digital platforms to enhance fan engagement.
To take advantage of the opportunities, the analyst recommends AI in sports companies to focus on strategic ai integration for performance and engagement, focus on accelerating ai innovation through strategic partnerships, focus on leveraging ai for player analytics and fan engagement, focus on ai-driven fan engagement and betting solutions, focus on services for ai growth in sports, expand in emerging markets, continue to focus on developed markets, focus on strategic pricing to maximize ai adoption in sports, focus on targeted digital campaigns, focus on multi-channel content strategies, focus on injury prevention in ai for sports.
This product will be delivered within 3-5 business days.
The global AI in sports market reached a value of nearly $3.08 billion in 2025, having grown at a compound annual growth rate (CAGR) of 26.9% since 2020. The market is expected to grow from $3.08 billion in 2025 to $9.08 billion in 2030 at a rate of 24.1%. The market is then expected to grow at a CAGR of 22.7% from 2030 and reach $25.24 billion in 2035.
Growth in the historic period resulted from expansion of scalable cloud-based service adoption, rising demand for wearable technology in sports, rise in mobile and app-based sports platforms and rising emphasis on athlete health and safety. Factors that negatively affected growth in the historic period were high implementation and maintenance costs for AI systems and data privacy and security concerns.
Going forward, rise in integration with IoT and AR/VR, rise in demand for fan engagement and personalization, rise in demand for skill development and rise in demand for real-time data analytics will drive the growth. Factors that could hinder the growth of the AI in sports market in the future include shortage of skilled professionals with dual expertise in AI and sports, complexity in integrating ai with existing sports infrastructure and impact of trade war and tariff.
Market trends for the AI in sports market include Strategic AI Partnership Enhances Real-Time Race Intelligence And Sustainable Event Operations, Global Accelerator Program Drives AI Innovation Across The Sports Ecosystem, Cloud-Based AI Enhances Basketball Analytics And Interactive Fan Experiences and AI-Integrated Digital Tools Streamline Sports Betting And Boost Fan Engagement.
The AI in sports market is segmented by solution into hardware, software and services. The software market was the largest segment of the AI in sports market segmented by solution, accounting for 58.5% or $1.8 billion of the total in 2025. Going forward, the services segment is expected to be the fastest-growing segment in the AI in sports market segmented by solution, at a CAGR of 31.5% during 2025-2030.
The AI in sports market is segmented by game type into badminton, baseball, basketball, cricket, cycling, hockey, ice hockey, racing, rugby, soccer, table tennis, tennis volleyball, wrestling/boxing, mixed martial arts, American football, golf and other game types. The soccer was the largest segment of the AI in sports market segmented by game type, accounting for 25.4% or $784.4 million of the total in 2025. Going forward, the badminton segment is expected to be the fastest-growing segment in the AI in sports market segmented by game type, at a CAGR of 31.5% during 2025-2030.
The AI in sports market is segmented by deployment into cloud and on-premise. The on-premise market was the largest segment of the AI in sports market segmented by deployment, accounting for 59% or $1.82 billion of the total in 2025. Going forward, the cloud segment is expected to be the fastest-growing segment in the AI in sports market segmented by deployment, at a CAGR of 27.9% during 2025-2030.
The AI in sports market is segmented by technology into machine learning, natural language processing, computer vision, data analytics and other technologies. The machine learning market was the largest segment of the AI in sports market segmented by technology, accounting for 34.4% or $1.06 billion of the total in 2025. Going forward, the computer vision segment is expected to be the fastest-growing segment in the AI in sports market segmented by technology, at a CAGR of 27.9% during 2025-2030.
The AI in sports market is segmented by application into game planning, game strategies, performance improvement, injury prevention, sports recruitment and other applications. The performance improvement market was the largest segment of the AI in sports market segmented by application, accounting for 32.8% or $1.01 billion of the total in 2025. Going forward, the injury prevention segment is expected to be the fastest-growing segment in the AI in sports market segmented by application, at a CAGR of 28.6% during 2025-2030.
North America was the largest region in the AI in sports market, accounting for 37.2% or $1.12 billion of the total in 2025. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the AI in sports market will be Asia Pacific and Middle East where growth will be at CAGRs of 28% and 27.3% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 24.9% and 22.7% respectively.
The global AI in sports market is fairly fragmented, with a large number of small players operating in the market. The top 10 competitors in the market made up 21.1% of the total market in 2024. Stats Perform was the largest competitor with a 7.2% share of the market, followed by Sportrader AG with 4.4%, Microsoft Corporation with 1.7%, Amazon.Com Inc, with 1.3%, Alphabet Inc. (Google LLC), with 1.2%, International Business Machines Corporation (IBM) with 1.1%, SAP SE with 1%, Meta Platforms with 0.9%, Oracle Corporation with 0.8% and KINEXON Sports & Media GmbH with 0.6%.
The top opportunities in the AI in sports market segmented by solution will arise in the software segment, which will gain $2.97 billion of global annual sales by 2030. The top opportunities in the AI in sports market segmented by game type will arise in the soccer segment, which will gain $2.12 billion of global annual sales by 2030. The top opportunities in the AI in sports market segmented by deployment will arise in the cloud segment, which will gain $3.07 billion of global annual sales by 2030.The top opportunities in the AI in sports market segmented by technology will arise in the machine learning segment, which will gain $2.07 billion of global annual sales by 2030. The top opportunities in the AI in sports market segmented by application will arise in the performance improvement segment, which will gain $2.07 billion of global annual sales by 2030. The AI in sports market size will gain the most in the USA at $1.74 billion.
trategies.
Player-adopted strategies in the AI in sports market include focus on strategic partnerships to expand their business expertise.
Market-trend-based strategies for the AI in sports market include focus on strategic partnerships to integrate advanced artificial intelligence (AI) models, fostering innovation through startup accelerators, strategic partnerships, and funding programs to scale artificial intelligence, leveraging cloud-based artificial intelligence (AI) platforms to transform player analytics, enhance broadcast and advancing towards integrating artificial intelligence (AI)-driven tools into digital platforms to enhance fan engagement.
To take advantage of the opportunities, the analyst recommends AI in sports companies to focus on strategic ai integration for performance and engagement, focus on accelerating ai innovation through strategic partnerships, focus on leveraging ai for player analytics and fan engagement, focus on ai-driven fan engagement and betting solutions, focus on services for ai growth in sports, expand in emerging markets, continue to focus on developed markets, focus on strategic pricing to maximize ai adoption in sports, focus on targeted digital campaigns, focus on multi-channel content strategies, focus on injury prevention in ai for sports.
This product will be delivered within 3-5 business days.
Table of Contents
1 Executive Summary
6 Market Characteristics
7 AI in Sports Market, Supply Chain Analysis
8 Major Market Trends
9 Global AI in Sports Growth Analysis and Strategic Analysis Framework
10 Global AI in Sports Market Size and Growth Analysis
11 Global AI in Sports Total Addressable Market (TAM) Analysis
12 Global AI in Sports Market Segmentation
13 AI in Sports Market, Regional and Country Analysis
14 Asia-Pacific Market
15 South East Asia Market
16 Western Europe Market
17 Eastern Europe Market
18 North America Market
19 South America Market
20 Middle East Market
21 Africa Market
22 Competitive Landscape and Company Profiles
23 Other Major and Innovative Companies
26 AI in Sports Market - Company Scoring Matrix
28 Key Mergers and Acquisitions
29 Recent Developments in AI in Sports
30 Opportunities and Strategies
31 AI in Sports Market, Conclusions and Recommendations
32 Appendix
Executive Summary
AI In Sports Global Market Opportunities and Strategies to 2035 provides the strategists; marketers and senior management with the critical information they need to assess the global AI in sports market as it emerges from the COVID-19 shut down.Reasons to Purchase
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
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 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 history and forecasts market growth by geography. It places the market within the context of the wider AI in sports market; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics Brief introduction to the segmentations covered in the market, definitions and explanations about the segments, key products, supply chain and market attractiveness scoring and analysis.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Growth Analysis and Strategic Analysis Framework Analysis on PESTEL, end use industries, market growth rate, global historic (2020-2025) and forecast (2025-2030, 2035F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Regional and Country Analysis Historic (2020-2025) and forecast (2025-2030, 2035F) market values and growth and market share comparison by region and country.
- Market Segmentation Contains the market values (2020-2025) (2025-2030, 2035F) and analysis for each segment by solution, by game type, by deployment, by technology and by application in the market. Historic (2020-2025) and forecast (2025-2030) and (2030-2035) market values and growth and market share comparison by region market.
- Regional Market Size and Growth Regional market size (2025), historic (2020-2025) and forecast (2025-2030, 2035F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major and Innovative Companies Details on the company profiles of other major and innovative companies in the market
- Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
- Competitive Dashboard - Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions - Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Market Opportunities and Strategies - Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions and Recommendations - This section includes recommendations for AI in sports providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix - This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
1) By Solution: Software; Hardware; Services
2) By Game Type: Badminton; Baseball; Basketball; Cricket; Cycling; Hockey; Ice Hockey; Racing; Rugby; Soccer; Table Tennis; Tennis Volleyball; Wrestling/Boxing; Mixed Martial Arts; American Football; Golf; Other Game Types
3) By Deployment: Cloud; On-Premise
4) By Technology: Machine Learning; Computer Vision; Natural Language Processing; Data Analytics; Other Technologies
5) By Application: Game Planning; Game Strategies; Performance Improvement; Injury Prevention; Sports Recruitment; Other Applications
Companies Mentioned: Stats Perform; Sportrader AG; Microsoft Corporation; Amazon.Com Inc; Alphabet Inc. (Google LLC)
Countries: China; Australia; India; Indonesia; Japan; South Korea; Taiwan; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
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; AI in sports indicators comparison.
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.
Companies Mentioned
- Stats Perform
- Sportrader AG
- Microsoft Corporation
- Amazon.Com Inc
- Alphabet Inc. (Google LLC)
- International Business Machines Corporation (IBM)
- SAP SE
- Meta Platforms
- Oracle Corporation
- KINEXON Sports & Media GmbH
- Zebra Technologies India Pvt. Ltd.
- SAP India Pvt. Ltd.
- Catapult Sports Ltd.
- Salesforce India Pvt. Ltd.
- Alibaba Group (Alibaba Sports AI)
- SenseTime Group Inc.
- Tencent Holdings Ltd. (Tencent Sports)
- Baidu, Inc. (Baidu Sports)
- Lenovo Group Limited
- Qxshootz
- Megvii Technology Limited
- CyberAgent, Inc.
- DataStadium Inc.
- PIXELSCOPE
- Sporttotal AG
- Hogak
- SK Telecom Co., Ltd. (SKT)
- Crazy Sports Group Limited
- Infosys Limited
- Fujitsu Limited
- OSENSE Technology Co., Ltd.
- Keep Tossing Lab, Inc.
- Aigym Sports Tech Co., Ltd.
- The Right Spin
- NTT DATA Group Corporation
- EliteFit.AI
- Spodeal
- AirUpThere Technologies
- Kitman Labs Ltd.
- Zone7 Technologies Ltd.
- KINEXON GmbH (KINEXON Sports & Media)
- Hawk-Eye Innovations Ltd.
- Zebra Technologies Corporation
- Habber Tec, S.L.
- ai.io
- Social Protect
- LaSource
- ReSpo.Vision
- Sportway
- Livesport Ltd.
- Ranketta
- SportIn
- InMotion Sports
- Infinite Athlete
- PlaySight Interactive Ltd.
- Second Spectrum, Inc.
- Hudl
- Genius Sports Limited
- Dimers
- Synergy Sports Technology
- Sportlogiq
- Sportboost AI
- Sports AI
- Sportsense
- Kinduct Technologies Inc.
- Iceberg Sports Analytics
- GameStrat
- Vixon
- Appito
- Chega+
- G42 (Group 42 Holding Ltd.)
- Koralyze AI
- PlayerMaker Ltd.
- Presight AI
- Sett.ai
- Athlon Technology
- Fitclan
- Afriskaut
- Contestify
- Mr. Accurate
- Pixellot Ltd.
- LootMogul
