스포츠 분야 인공지능(AI) 시장 : 제공, 기술 유형, 용도, 최종사용자별 - 세계 예측(2025-2030년)

The Artificial Intelligence in Sports Market was valued at USD 5.94 billion in 2024 and is projected to grow to USD 7.50 billion in 2025, with a CAGR of 27.17%, reaching USD 25.12 billion by 2030.

Artificial Intelligence is rapidly reshaping the sports industry as we know it, creating an ecosystem where data-driven insights meet game-changing innovations. In recent years, AI has empowered teams, coaches, and sports organizations to break new ground in performance, strategy, and fan engagement. With its capacity to analyze vast datasets, optimize athlete performance, and tailor experiences for fans, AI emerges as a pivotal force in modern sports. This evolving technology has its roots in advanced algorithms and machine learning techniques that sift through real-time information, enabling informed decisions during training, gameplay, and even media communications. The integration of AI is not merely a trend but a transformative advancement that redefines the roles of traditional systems and stakeholders in the sports realm. As stakeholders navigate this digital revolution, it becomes essential to understand the driving forces behind adoption, the innovative breakthroughs in technology, and the comprehensive value chain. The journey of AI in sports is a story of continuous innovation fueled by collaboration across technology providers, sports experts, and global markets, setting the stage for a future where every play, strategy, and decision is enhanced by intelligent, evidence-based insights.

Transformative Shifts in Sports: Evolving with AI

The sports landscape is experiencing dramatic changes fueled by the integration of AI technologies. These shifts are redefining everything from on-field performance to fan interaction. By harnessing powerful computer vision for analyzing player movements and leveraging machine learning techniques to predict game outcomes, organizations now have unparalleled access to performance optimization and strategic planning. Advanced natural language processing is revolutionizing how commentary and real-time communication are delivered, connecting audiences with personalized experiences that extend beyond conventional broadcasting. Additionally, adaptive systems are emerging that forecast trends, assess player health, and monitor training regimes. Such transformative shifts are not just confined to indoor arenas or stadiums; they permeate sports administration, broadcasting, and marketing initiatives. The infusion of AI into these areas ensures more precise game analysis, smarter resource allocation, and a greater understanding of audience behavior. This digital transformation is evidence of the industry's readiness to embrace a future where data, technology, and creativity converge to offer value that was once unimaginable.

Key Segmentation Insights Driving Innovation

A comprehensive look at the market reveals compelling insights when segmented by key dimensions. When considering offerings, the focus extends to both services and software solutions, with services further dissected into managed and professional segments; this reveals the dual emphasis on operational support and strategic expertise. Evaluating the market through the lens of technology type involves examining components such as computer vision, machine learning, and natural language processing. The realm of machine learning itself subdivides into reinforcement, supervised, and unsupervised learning methodologies, highlighting the diversity and complexity of algorithmic approaches driving the industry forward. Furthermore, the market landscape is enriched when analyzed according to application areas, which include fan experience, media and broadcasting, performance enhancement, and sports marketing. Finally, insights based on end-users, ranging from athletes and coaches to sports associations and clubs, underline the broad spectrum of stakeholders benefiting from AI integration. These segmentation layers collectively illustrate how various dimensions are interlinked, inspiring innovation and tailored solutions across the sports ecosystem.

Based on Offering, market is studied across Services and Software Solutions. The Services is further studied across Managed Services and Professional Services.

Based on Technology Type, market is studied across Computer Vision, Machine Learning, and Natural Language Processing. The Machine Learning is further studied across Reinforcement Learning, Supervised Learning, and Unsupervised Learning.

Based on Application, market is studied across Fan Experience, Media and Broadcasting, Performance Enhancement, and Sports Marketing.

Based on End-user, market is studied across Athletes, Coaches & Trainers, Sports Associations/Federations, and Sports Teams/Clubs.

Global Regional Insights in AI for Sports

The global perspective on AI in sports underscores distinct trends and opportunities across different regions. In the Americas, the market benefits from robust technological infrastructure and a culture that readily embraces digital disruption within sports. The combined influences of Europe, the Middle East, and Africa bring a range of traditional sporting events and emerging tech hubs into a unique blend where historical legacies meet progressive strategies. In the Asia-Pacific region, rapid technology adoption paired with a rising passion for sports creates fertile ground for innovative applications. Each region contributes unique insights shaped by local market dynamics, regulatory environments, and consumer preferences, leading to a vibrant tapestry where technological advancement in sports is continuously redefined. These regional insights offer guidance for stakeholders looking to harness AI, providing both opportunity and a need for adaptive strategies in a competitive global market.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Leading Companies Shaping AI's Sports Evolution

A wide spectrum of companies is spearheading the integration of innovative AI solutions within the sports industry. Esteemed organizations such as Amazon Web Services, Inc. and Google LLC offer comprehensive cloud and analytics platforms that underpin the data-intensive nature of modern sports applications. Other firms like Arccos Golf LLC and BetGenius Ltd have carved out niche specialties, enhancing real-time analysis and betting systems. Large retail and lifestyle brands including DICK'S Sporting Goods Company also contribute by integrating AI into consumer engagement strategies, while technology giants such as Facebook, Inc. by Meta Platforms, Inc., Microsoft Corporation, and Intel Corporation drive forward digital transformation with scalable, high-performance solutions. Leaders in hardware and software, including Fujitsu Limited, IBM, and SAP SE, provide robust frameworks that support intricate AI operations. The innovation frontier is further advanced by experts like Hysport Sports Technologies, Inc., iSportConnect Ltd, and Kitman Labs Ltd, with specialized contributions from NTT DATA Corporation, Qualcomm Technologies, Inc., Salesforce.com Inc., SAS Institute, Inc., Sony Group Corporation, and Sportlogiq Inc. The evolving landscape is also influenced by entities such as Sportradar AG, Stats Perform, WSC Sports Technologies Ltd, and Zebra Technologies Corporation, each enhancing a specific facet of sports performance, broadcast, or analytics. These key players collectively contribute to a rapidly evolving market where technology meets the excitement and dynamism of sports.

The report delves into recent significant developments in the Artificial Intelligence in Sports Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., Arccos Golf LLC, BetGenius Ltd, DICK'S Sporting Goods Company, Facebook, Inc. by Meta Platforms, Inc., Fujitsu Limited, Google LLC, Hysport Sports Technologies, Inc., Intel Corporation, International Business Machines Corporation, iSportConnect Ltd, Kitman Labs Ltd, Microsoft Corporation, NTT DATA Corporation, PlaySight Interactive Ltd., Qualcomm Technologies, Inc., Salesforce.com Inc., SAP SE, SAS Institute, Inc., Sony Group Corporation, Sportlogiq Inc., Sportradar AG, Stats Perform, WSC Sports Technologies Ltd, and Zebra Technologies Corporation. Actionable Strategies for Leaders Embracing AI

For industry leaders ready to navigate the dynamic realm of AI in sports, adopting proactive strategies is critical for long-term success. It begins with establishing a clear vision that aligns technological advancements with overarching business objectives. Leaders should invest in scalable, flexible infrastructures that accommodate both the latest AI innovations and the evolving demands of the market. Engaging in strategic partnerships with technology providers and start-ups can accelerate the integration of advanced machine learning and computer vision systems. Furthermore, a deep understanding of regulatory environments and rigorous data governance practices will ensure compliance and build trust among stakeholders. Organizations must foster a culture of continuous improvement where data analytics, performance monitoring, and adaptive strategies are at the forefront. By integrating robust training programs for employees, companies can harness the full spectrum of AI capabilities, from refining operational efficiencies to enhancing the fan experience. Embracing innovation through pilot projects and iterative testing will not only mitigate risk but also provide a roadmap for scaling AI initiatives. Ultimately, the journey towards a digitized sports ecosystem requires agility, forward-thinking leadership, and a commitment to leveraging AI as a strategic asset.

Conclusion: Embracing the AI-Driven Future in Sports

The evolution of AI in sports is more than just a technological upgrade-it represents a fundamental shift in how games are played, experienced, and managed. As organizations across the sports industry integrate advanced analytics, machine learning, and computer vision into their core operations, the gap between traditional practices and modern innovation continues to narrow. This transformation is evident in the enhanced performance metrics, refined fan engagements, and innovative broadcasting strategies that are setting new industry benchmarks. By examining the market through various segmentation angles and regional insights, it becomes clear that the convergence of technology and sports has opened up unprecedented avenues for growth and competitive advantage. The success stories emerging from pioneering companies highlight the tangible benefits of embracing AI, reinforcing the notion that data-driven decision making is the future of sports. In this context, leaders who are quick to adapt and respond to these technological shifts stand to gain significant rewards in terms of operational efficiency and overall market impact.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Growing demand for personalized fan experiences through AI-powered applications and tools
    • 5.1.1.2. Utilization of AI in better game officiating, minimizing human error, and improving fairness in competitions
    • 5.1.1.3. Increased adoption of AI-driven wearables enhancing athlete performance and injury prevention
  • 5.1.2. Restraints
    • 5.1.2.1. Limited understanding and expertise in artificial intelligence implementation among sports staff
  • 5.1.3. Opportunities
    • 5.1.3.1. Ongoing developing AI-enabled fraud detection systems to maintain integrity in sports betting markets
    • 5.1.3.2. Utilizing AI to enhance talent scouting through predictive modeling and player performance forecasts
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns associated with data privacy and regulatory restrictions in the sports sector regarding AI utilization
• 5.2. Market Segmentation Analysis
  • 5.2.1. Application: Utilising AI-powered innovations in sports media and broadcasting
  • 5.2.2. Technology Type: Growing the uses of machine learning in sports technology
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Sports Market, by Offering

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Managed Services
  • 6.2.2. Professional Services
• 6.3. Software Solutions

7. Artificial Intelligence in Sports Market, by Technology Type

• 7.1. Introduction
• 7.2. Computer Vision
• 7.3. Machine Learning
  • 7.3.1. Reinforcement Learning
  • 7.3.2. Supervised Learning
  • 7.3.3. Unsupervised Learning
• 7.4. Natural Language Processing

8. Artificial Intelligence in Sports Market, by Application

• 8.1. Introduction
• 8.2. Fan Experience
• 8.3. Media and Broadcasting
• 8.4. Performance Enhancement
• 8.5. Sports Marketing

9. Artificial Intelligence in Sports Market, by End-user

• 9.1. Introduction
• 9.2. Athletes
• 9.3. Coaches & Trainers
• 9.4. Sports Associations/Federations
• 9.5. Sports Teams/Clubs

10. Americas Artificial Intelligence in Sports Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Artificial Intelligence in Sports Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Sports Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2024
• 13.2. FPNV Positioning Matrix, 2024
• 13.3. Competitive Scenario Analysis
  • 13.3.1. Fastbreak.ai acquires SEQL to enhance youth sports engagement and equity
  • 13.3.2. Samba Digital and Orange Business launch AI platform to enhance sports content creation
  • 13.3.3. BeONE Sports and MobiDev partner to launch AI-enhanced comparative training platform for athletes
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Amazon Web Services, Inc.
• 2. Arccos Golf LLC
• 3. BetGenius Ltd
• 4. DICK'S Sporting Goods Company
• 5. Facebook, Inc. by Meta Platforms, Inc.
• 6. Fujitsu Limited
• 7. Google LLC
• 8. Hysport Sports Technologies, Inc.
• 9. Intel Corporation
• 10. International Business Machines Corporation
• 11. iSportConnect Ltd
• 12. Kitman Labs Ltd
• 13. Microsoft Corporation
• 14. NTT DATA Corporation
• 15. PlaySight Interactive Ltd.
• 16. Qualcomm Technologies, Inc.
• 17. Salesforce.com Inc.
• 18. SAP SE
• 19. SAS Institute, Inc.
• 20. Sony Group Corporation
• 21. Sportlogiq Inc.
• 22. Sportradar AG
• 23. Stats Perform
• 24. WSC Sports Technologies Ltd
• 25. Zebra Technologies Corporation