Artificial Intelligence in Sports Market Report and Forecast 2025-2034

The global artificial intelligence in sports market size is assessed to grow at a CAGR of 29.40% between 2025 and 2034. 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.

Key Trends in the Market

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.

  • One of the key artificial intelligence in sports market trends is the growing adoption of technologies to improve the performance of athletes. AI-powered wearable devices can monitor and track the speed, heart rate, energy levels, and body temperature of athletes to help optimise their performance and injury prevention.
  • There is an increasing usage of AI to efficiently build and expand stadiums, create a safer, healthier, and secure live sports environment, analyse data streamed from CCTVs and other cameras to report incidents in real-time, and enhance the efficiency of stadium entryway.
  • The increasing focus on improving fan engagement and experience is also driving the artificial intelligence in sports market growth. AI can surge communication between a team and fans, provide personalised content to viewers, offer a superior viewing experience, and enable viewers to actively participate in the game. Moreover, the growing interest in sports betting is anticipated to drive the usage of AI to provide tailored recommendations to sportsbooks, identify fraudulent behaviour, and provide accurate predictions to bettors.
Artificial Intelligence in Sports Market Segmentation

The EMR’s report titled “Global Artificial Intelligence in Sports Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:

Market Breakup by Component:
  • Software
  • Service
Market Breakup by Deployment:
  • Cloud
  • On-premises
Market Breakup by Game Type:
  • 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
Artificial Intelligence in Sports Market Share by Game Type

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.

Artificial Intelligence in Sports Market Share by Application

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.

Competitive Landscape

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.

Sportradar AG

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

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

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.


1 Executive Summary
1.1 Market Size 2024-2025
1.2 Market Growth 2025(F)-2034(F)
1.3 Key Demand Drivers
1.4 Key Players and Competitive Structure
1.5 Industry Best Practices
1.6 Recent Trends and Developments
1.7 Industry Outlook
2 Market Overview and Stakeholder Insights
2.1 Market Trends
2.2 Key Verticals
2.3 Key Regions
2.4 Supplier Power
2.5 Buyer Power
2.6 Key Market Opportunities and Risks
2.7 Key Initiatives by Stakeholders
3 Economic Summary
3.1 GDP Outlook
3.2 GDP Per Capita Growth
3.3 Inflation Trends
3.4 Democracy Index
3.5 Gross Public Debt Ratios
3.6 Balance of Payment (BoP) Position
3.7 Population Outlook
3.8 Urbanisation Trends
4 Country Risk Profiles
4.1 Country Risk
4.2 Business Climate
5 Global Artificial Intelligence in Sports Market Analysis
5.1 Key Industry Highlights
5.2 Global Artificial Intelligence in Sports Historical Market (2018-2024)
5.3 Global Artificial Intelligence in Sports Market Forecast (2025-2034)
5.4 Global Artificial Intelligence in Sports Market by Component
5.4.1 Software
5.4.1.1 Historical Trend (2018-2024)
5.4.1.2 Forecast Trend (2025-2034)
5.4.2 Service
5.4.2.1 Historical Trend (2018-2024)
5.4.2.2 Forecast Trend (2025-2034)
5.5 Global Artificial Intelligence in Sports Market by Deployment
5.5.1 Cloud
5.5.1.1 Historical Trend (2018-2024)
5.5.1.2 Forecast Trend (2025-2034)
5.5.2 On-premises
5.5.2.1 Historical Trend (2018-2024)
5.5.2.2 Forecast Trend (2025-2034)
5.6 Global Artificial Intelligence in Sports Market by Game Type
5.6.1 Football
5.6.1.1 Historical Trend (2018-2024)
5.6.1.2 Forecast Trend (2025-2034)
5.6.2 Cricket
5.6.2.1 Historical Trend (2018-2024)
5.6.2.2 Forecast Trend (2025-2034)
5.6.3 Tennis
5.6.3.1 Historical Trend (2018-2024)
5.6.3.2 Forecast Trend (2025-2034)
5.6.4 Basketball
5.6.4.1 Historical Trend (2018-2024)
5.6.4.2 Forecast Trend (2025-2034)
5.6.5 Baseball
5.6.5.1 Historical Trend (2018-2024)
5.6.5.2 Forecast Trend (2025-2034)
5.6.6 Others
5.7 Global Artificial Intelligence in Sports Market by Application
5.7.1 Game Planning
5.7.1.1 Historical Trend (2018-2024)
5.7.1.2 Forecast Trend (2025-2034)
5.7.2 Game Strategies
5.7.2.1 Historical Trend (2018-2024)
5.7.2.2 Forecast Trend (2025-2034)
5.7.3 Performance Improvement
5.7.3.1 Historical Trend (2018-2024)
5.7.3.2 Forecast Trend (2025-2034)
5.7.4 Injury Prevention
5.7.4.1 Historical Trend (2018-2024)
5.7.4.2 Forecast Trend (2025-2034)
5.7.5 Sports Recruitment
5.7.5.1 Historical Trend (2018-2024)
5.7.5.2 Forecast Trend (2025-2034)
5.7.6 Others
5.8 Global Artificial Intelligence in Sports Market by Region
5.8.1 North America
5.8.1.1 Historical Trend (2018-2024)
5.8.1.2 Forecast Trend (2025-2034)
5.8.2 Europe
5.8.2.1 Historical Trend (2018-2024)
5.8.2.2 Forecast Trend (2025-2034)
5.8.3 Asia Pacific
5.8.3.1 Historical Trend (2018-2024)
5.8.3.2 Forecast Trend (2025-2034)
5.8.4 Latin America
5.8.4.1 Historical Trend (2018-2024)
5.8.4.2 Forecast Trend (2025-2034)
5.8.5 Middle East and Africa
5.8.5.1 Historical Trend (2018-2024)
5.8.5.2 Forecast Trend (2025-2034)
6 North America Artificial Intelligence in Sports Market Analysis
6.1 United States of America
6.1.1 Historical Trend (2018-2024)
6.1.2 Forecast Trend (2025-2034)
6.2 Canada
6.2.1 Historical Trend (2018-2024)
6.2.2 Forecast Trend (2025-2034)
7 Europe Artificial Intelligence in Sports Market Analysis
7.1 United Kingdom
7.1.1 Historical Trend (2018-2024)
7.1.2 Forecast Trend (2025-2034)
7.2 Germany
7.2.1 Historical Trend (2018-2024)
7.2.2 Forecast Trend (2025-2034)
7.3 France
7.3.1 Historical Trend (2018-2024)
7.3.2 Forecast Trend (2025-2034)
7.4 Italy
7.4.1 Historical Trend (2018-2024)
7.4.2 Forecast Trend (2025-2034)
7.5 Others
8 Asia Pacific Artificial Intelligence in Sports Market Analysis
8.1 China
8.1.1 Historical Trend (2018-2024)
8.1.2 Forecast Trend (2025-2034)
8.2 Japan
8.2.1 Historical Trend (2018-2024)
8.2.2 Forecast Trend (2025-2034)
8.3 India
8.3.1 Historical Trend (2018-2024)
8.3.2 Forecast Trend (2025-2034)
8.4 ASEAN
8.4.1 Historical Trend (2018-2024)
8.4.2 Forecast Trend (2025-2034)
8.5 Australia
8.5.1 Historical Trend (2018-2024)
8.5.2 Forecast Trend (2025-2034)
8.6 Others
9 Latin America Artificial Intelligence in Sports Market Analysis
9.1 Brazil
9.1.1 Historical Trend (2018-2024)
9.1.2 Forecast Trend (2025-2034)
9.2 Argentina
9.2.1 Historical Trend (2018-2024)
9.2.2 Forecast Trend (2025-2034)
9.3 Mexico
9.3.1 Historical Trend (2018-2024)
9.3.2 Forecast Trend (2025-2034)
9.4 Others
10 Middle East and Africa Artificial Intelligence in Sports Market Analysis
10.1 Saudi Arabia
10.1.1 Historical Trend (2018-2024)
10.1.2 Forecast Trend (2025-2034)
10.2 United Arab Emirates
10.2.1 Historical Trend (2018-2024)
10.2.2 Forecast Trend (2025-2034)
10.3 Nigeria
10.3.1 Historical Trend (2018-2024)
10.3.2 Forecast Trend (2025-2034)
10.4 South Africa
10.4.1 Historical Trend (2018-2024)
10.4.2 Forecast Trend (2025-2034)
10.5 Others
11 Market Dynamics
11.1 SWOT Analysis
11.1.1 Strengths
11.1.2 Weaknesses
11.1.3 Opportunities
11.1.4 Threats
11.2 Porter’s Five Forces Analysis
11.2.1 Supplier’s Power
11.2.2 Buyer’s Power
11.2.3 Threat of New Entrants
11.2.4 Degree of Rivalry
11.2.5 Threat of Substitutes
11.3 Key Indicators for Demand
11.4 Key Indicators for Price
12 Competitive Landscape
12.1 Supplier Selection
12.2 Key Global Players
12.3 Key Regional Players
12.4 Key Player Strategies
12.5 Company Profiles
12.5.1 IBM Corporation
12.5.1.1 Company Overview
12.5.1.2 Product Portfolio
12.5.1.3 Demographic Reach and Achievements
12.5.1.4 Certifications
12.5.2 SAS Institute Inc.
12.5.2.1 Company Overview
12.5.2.2 Product Portfolio
12.5.2.3 Demographic Reach and Achievements
12.5.2.4 Certifications
12.5.3 Salesforce, Inc.
12.5.3.1 Company Overview
12.5.3.2 Product Portfolio
12.5.3.3 Demographic Reach and Achievements
12.5.3.4 Certifications
12.5.4 Catapult Group International Ltd
12.5.4.1 Company Overview
12.5.4.2 Product Portfolio
12.5.4.3 Demographic Reach and Achievements
12.5.4.4 Certifications
12.5.5 STATS LLC
12.5.5.1 Company Overview
12.5.5.2 Product Portfolio
12.5.5.3 Demographic Reach and Achievements
12.5.5.4 Certifications
12.5.6 Sportradar AG
12.5.6.1 Company Overview
12.5.6.2 Product Portfolio
12.5.6.3 Demographic Reach and Achievements
12.5.6.4 Certifications
12.5.7 V7 Ltd.
12.5.7.1 Company Overview
12.5.7.2 Product Portfolio
12.5.7.3 Demographic Reach and Achievements
12.5.7.4 Certifications
12.5.8 DataRobot, Inc.
12.5.8.1 Company Overview
12.5.8.2 Product Portfolio
12.5.8.3 Demographic Reach and Achievements
12.5.8.4 Certifications
12.5.9 Sony Group Corporation
12.5.9.1 Company Overview
12.5.9.2 Product Portfolio
12.5.9.3 Demographic Reach and Achievements
12.5.9.4 Certifications
12.5.10 Others

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