Artificial Intelligence in Sports Market size was valued at USD 1.5 Billion in 2024 and is forecasted to grow at a CAGR of 25.2% from 2026 to 2033, reaching USD 10.5 Billion by 2033.
In 2022, the global Artificial Intelligence (AI) in sports market was valued at approximately USD 2.2 billion, with projections indicating a significant growth trajectory to USD 31.4 billion by 2032, reflecting a compound annual growth rate (CAGR) of 30.6% from 2023 to 2032. North America led the market in 2022, accounting for around 41% of the global share, equating to about USD 910 million. The Asia Pacific region is anticipated to experience the fastest growth, with a projected CAGR exceeding 33% during the same period. In terms of deployment models, the on premise segment dominated in 2022, generating over USD 1.6 billion in revenue, while machine learning technology contributed approximately 25% to the market share. The robust growth in the AI in sports market is driven by the increasing demand for data driven insights and enhanced performance analysis across various sports disciplines. AI technologies, including machine learning and computer vision, are being utilized to analyze player movements, assess performance metrics, and provide valuable insights to coaches, athletes, and teams. This integration has revolutionized training methodologies and contributed to the development of innovative fan experiences through advanced data visualization and real time analytics during live events. Additionally, AI applications extend to injury prevention, personalized training programs, and fan engagement, solidifying its role as a pivotal component of the modern sports ecosystem. The continuous advancement of AI technologies and their expanding applications are expected to further propel the market, offering substantial opportunities for growth and innovation in the sports industry.
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Catapult Group International Ltd.
Facebook Inc.
IBM Corporation
Microsoft Corporation
Salesforce.com Inc.
SAP SE
SAS Institute Inc.
Sportradar AG
Stats Perform
Trumedia Networks
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By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global Artificial Intelligence in Sports Market
Performance Analysis
Training Analytics
Gameplay Strategy
Fan Engagement
Injury Prevention and Rehabilitation
Scouting and Recruitment
Machine Learning
Natural Language Processing
Computer Vision
Deep Learning
Robotics
Data Analytics
Professional Sports Teams
Colleges and Universities
Sports Federations and Associations
Audience and Fans
Sports Analytics Firms
On-Premises
Cloud-Based
Hybrid Solutions
Team Sports
Individual Sports
Combat Sports
Motor Sports
eSports
US (United States, US and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global Artificial Intelligence in Sports Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global Artificial Intelligence in Sports Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global Artificial Intelligence in Sports Market, By Type
6. Global Artificial Intelligence in Sports Market, By Application
7. Global Artificial Intelligence in Sports Market, By Geography
US
Europe
Asia Pacific
Rest of the World
8. Global Artificial Intelligence in Sports Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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