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The global artificial intelligence in sports market size is assessed to grow at a CAGR of 29.4% between 2024 and 2032. The market is being aided by the growing usage of AI to enhance the performance of athletes and the increasing attempts to offer personalised experiences to fans.
Artificial intelligence, variously known as AI, is used in sports to analyse a plethora of data to improve the performance of players and teams and enhance the experiences and engagement of fans. This technology also plays an essential role in reducing human errors and supporting referees and umpires in making the right decision.
Based on component, the market is segmented into software and service. On the basis of deployment, the market can be divided into cloud and on-premises. By game type, the artificial intelligence in sports market segmentation includes football, cricket, tennis, basketball, and baseball, among others.
The various applications of artificial intelligence in sports are game planning, game strategies, performance improvement, injury prevention, and sports recruitment, among others. The major regional markets for artificial intelligence in sports include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global artificial intelligence in sports market, covering their competitive landscape and latest developments like mergers, acquisitions, investments and expansion plans.
Football accounts for a significant portion of the artificial intelligence in sports market share as it enjoys substantial popularity in the world. AI tools are widely used to predict the outcomes of a match, boost the performance of players, improve the decision-making of referees, and enhance fan experiences. Football managers also use AI to identify players’ weaknesses and accordingly make substitutions to maximise game advantage.
Meanwhile, AI is increasingly used in cricket to measure bat speed and shot quality, analyse team performance, provide in-game feedback, ensure optimal health of players, and support umpires to improve their decision-making processes.
As per the artificial intelligence in sports market analysis, the usage of AI for game strategies is likely to significantly increase in the coming years. Athletes and coaches use AI tools to efficiently analyse the strategies of oppositions, understand the strengths and weaknesses of a sportsperson, evaluate the performance of players, make data-driven decisions, and optimise coaching sessions, among others. Moreover, in the forecast period, the usage of AI to create simulations of games and support players to practice different scenarios is anticipated to increase.
Sportradar AG is a prominent sports technology company that aims to offer immersive experiences to bettors and sports fans. It was founded in 2001, and since has offered innovative solutions to sports betting operators, sports federations, consumer platforms, and news media. The company has partnered with leading organisations like ITF, NBA, FIFA, and ICC, among others.
STATS LLC, headquartered in Illinois, the United States, is a leading sports technology company that was founded in 1981. Its products and solutions are aimed at improving betting and fantasy solutions, driving fan engagement, and enhancing team performance. Opto Data, a solution offered by the company, is used by various betting brands, teams, and news outlets due to its excellent depth and accuracy.
Catapult Group International Ltd is a company that operates at the intersection of analytics and sports science. It was founded in 2006 and offers innovative solutions that are aimed at supporting players to avoid injury and optimise their performance. The company has partnered with prominent sports teams such as NCAA, EPL, and Formula 1, among others.
Other artificial intelligence in sports market players include IBM Corporation, SAS Institute Inc., Salesforce, Inc., V7 Ltd., DataRobot, Inc., and Sony Group Corporation, among others.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Component |
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Breakup by Deployment |
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Breakup by Game Type |
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Breakup by Application |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Artificial Intelligence in Sports Market Analysis
8.1 Key Industry Highlights
8.2 Global Artificial Intelligence in Sports Historical Market (2018-2023)
8.3 Global Artificial Intelligence in Sports Market Forecast (2024-2032)
8.4 Global Artificial Intelligence in Sports Market by Component
8.4.1 Software
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Service
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.5 Global Artificial Intelligence in Sports Market by Deployment
8.5.1 Cloud
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 On-premises
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global Artificial Intelligence in Sports Market by Game Type
8.6.1 Football
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Cricket
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.6.3 Tennis
8.6.3.1 Historical Trend (2018-2023)
8.6.3.2 Forecast Trend (2024-2032)
8.6.4 Basketball
8.6.4.1 Historical Trend (2018-2023)
8.6.4.2 Forecast Trend (2024-2032)
8.6.5 Baseball
8.6.5.1 Historical Trend (2018-2023)
8.6.5.2 Forecast Trend (2024-2032)
8.6.6 Others
8.7 Global Artificial Intelligence in Sports Market by Application
8.7.1 Game Planning
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Game Strategies
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 Performance Improvement
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Injury Prevention
8.7.4.1 Historical Trend (2018-2023)
8.7.4.2 Forecast Trend (2024-2032)
8.7.5 Sports Recruitment
8.7.5.1 Historical Trend (2018-2023)
8.7.5.2 Forecast Trend (2024-2032)
8.7.6 Others
8.8 Global Artificial Intelligence in Sports Market by Region
8.8.1 North America
8.8.1.1 Historical Trend (2018-2023)
8.8.1.2 Forecast Trend (2024-2032)
8.8.2 Europe
8.8.2.1 Historical Trend (2018-2023)
8.8.2.2 Forecast Trend (2024-2032)
8.8.3 Asia Pacific
8.8.3.1 Historical Trend (2018-2023)
8.8.3.2 Forecast Trend (2024-2032)
8.8.4 Latin America
8.8.4.1 Historical Trend (2018-2023)
8.8.4.2 Forecast Trend (2024-2032)
8.8.5 Middle East and Africa
8.8.5.1 Historical Trend (2018-2023)
8.8.5.2 Forecast Trend (2024-2032)
9 North America Artificial Intelligence in Sports Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe Artificial Intelligence in Sports Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Artificial Intelligence in Sports Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America Artificial Intelligence in Sports Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Artificial Intelligence in Sports Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 IBM Corporation
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 SAS Institute Inc.
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 Salesforce, Inc.
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 Catapult Group International Ltd
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 STATS LLC
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 Sportradar AG
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 V7 Ltd.
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 DataRobot, Inc.
15.2.8.1 Company Overview
15.2.8.2 Product Portfolio
15.2.8.3 Demographic Reach and Achievements
15.2.8.4 Certifications
15.2.9 Sony Group Corporation
15.2.9.1 Company Overview
15.2.9.2 Product Portfolio
15.2.9.3 Demographic Reach and Achievements
15.2.9.4 Certifications
15.2.10 Others
16 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Artificial Intelligence in Sports Market: Key Industry Highlights, 2018 and 2032
2. Global Artificial Intelligence in Sports Historical Market: Breakup by Component (USD Million), 2018-2023
3. Global Artificial Intelligence in Sports Market Forecast: Breakup by Component (USD Million), 2024-2032
4. Global Artificial Intelligence in Sports Historical Market: Breakup by Deployment (USD Million), 2018-2023
5. Global Artificial Intelligence in Sports Market Forecast: Breakup by Deployment (USD Million), 2024-2032
6. Global Artificial Intelligence in Sports Historical Market: Breakup by Game Type (USD Million), 2018-2023
7. Global Artificial Intelligence in Sports Market Forecast: Breakup by Game Type (USD Million), 2024-2032
8. Global Artificial Intelligence in Sports Historical Market: Breakup by Application (USD Million), 2018-2023
9. Global Artificial Intelligence in Sports Market Forecast: Breakup by Application (USD Million), 2024-2032
10. Global Artificial Intelligence in Sports Historical Market: Breakup by Region (USD Million), 2018-2023
11. Global Artificial Intelligence in Sports Market Forecast: Breakup by Region (USD Million), 2024-2032
12. North America Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
13. North America Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
14. Europe Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
15. Europe Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
16. Asia Pacific Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
17. Asia Pacific Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
18. Latin America Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
19. Latin America Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
20. Middle East and Africa Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
21. Middle East and Africa Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
22. Global Artificial Intelligence in Sports Market Structure
The market is assessed to grow at a CAGR of 29.4% between 2024 and 2032.
The major market drivers are the growing usage of the technology to improve players’ performance and the rising deployment of AI to support umpires to improve their decision-making processes.
The key trends aiding the market growth are the growing focus on boosting sports fan experience and the increasing usage of the technology in stadiums.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
Football, cricket, tennis, basketball, and baseball, among others, are the different games considered in the market report.
The major components of artificial intelligence in sports are software and solutions.
The significant applications of artificial intelligence in sports are game planning, game strategies, performance improvement, injury prevention, and sports recruitment, among others.
The major players in the market are IBM Corporation, SAS Institute Inc., Salesforce, Inc., Catapult Group International Ltd, STATS LLC, Sportradar AG, V7 Ltd., DataRobot, Inc., and Sony Group Corporation, among others.
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