| Applications of Artificial Intelligence (AI) in the Sport Industry: A Systematic Review |
| Paper ID : 1282-SPORTCONGRESS |
| Authors |
|
Abed Mahmoudian *1, Masoud Darabi2 1Assistant Professor in Sport Management, Department of Sport Management, Faculty of Sport Sciences, Bu-Ali Sina University, Hamedan, Iran 2Assistant Professor, Department of Sport Management, Faculty of Sport Sciences, Bu-Ali Sina University, Hamedan, Iran |
| Abstract |
| Introduction: A review of studies shows that the concept of AI literacy has attracted the attention of foreign researchers and this concept has been investigated from various angles. Therefore, the purpose of the present study is to systematically review studies on AI in the sports industry. Methods: Using a systematic literature review approach, all published studies on AI in sport were analyzed. Data were collected from Google Scholar by searching for the keywords "AI in sport" in the abstract, title, and keywords fields. The search was limited to the publication period from 2015 to 2025. Findings: The findings indicate that the intersection of AI in the sports industry is from various angles, including sports management (smarter ecosystem, spectator and fan experience, adopting better strategies, more strategic and informed decisions, coach-athlete communication and conversations, content analysis and production, management and operations, fan management systems, customer sentiment analysis, service improvement and personalization, sports media and journalism, smart tickets, virtual assistants and referees, improving customer service, optimal betting, live broadcast of sports competitions, automating subtitle creation, improving advertising opportunities, sponsor evaluation, analyzing and developing quantitative and qualitative research methods), sports physiology (designing and optimizing training and nutrition, predicting competition results, health monitoring, sports medicine, improving results, performance analysis, wearable devices, improving player safety), sports pathology and biomechanics (injury identification, biomechanics and body movement analysis, technique modification, sports data extraction), motor development and learning (human behavior, Talent identification, sports coaching, sports education) have been examined. Conclusion: This study emphasizes the need for domestic researchers to pay attention to the research and application areas of the intersection of artificial intelligence in the sports industry and recommends clear institutional policies and further empirical research to increase the application of artificial intelligence in various sectors of the sports industry. |
| Keywords |
| Sports Industry, Systematic Review, Artificial Intelligence |
| Status: Abstract Accepted (Poster Presentation) |
