Artificial Intelligence and the Development of Sports Science in Thailand: Opportunities and Challenges

Authors

  • Tachapon Tongterm Department of Sport Science, Faculty of Liberal Arts and Sciences, Sisaket Rajabhat University, Sisaket Province

Keywords:

Artificial Intelligence, Sports Science, Sports Engineering, Sports Technology, Innovation

Abstract

Artificial intelligence (AI) is transforming the field of sports science globally, yet its application in Thailand remains in its early stages and faces several limitations. This article aims to assess the current state of AI utilization in Thailand, analyze opportunities and challenges, and propose sustainable development strategies through a systematic literature review. The findings indicate that while AI has been introduced in professional sports such as the Thai League football, tennis, and volleyball, deep integration is still lacking. Additionally, the adoption of AI in traditional Thai sports, such as Muay Thai and Sepak Takraw, has yet to receive adequate support. Key challenges include limitations in infrastructure, technology, human resources, and funding. However, there are opportunities for advancement through the development of a sports technology ecosystem, the integration of AI into sports science training curricula, and fostering collaborations among government agencies, private sectors, and academic institutions. These policy-driven strategies will help bridge the technological gap and enhance the Thai sports industry’s competitiveness on a global scale in a sustainable manner.

References

Chantra, D. (2023). An innovative video analyzing volleyball hitting skills of young athletes using artificial intelligence. Journal of Education Thaksin University, 23(2), 139–148. https://so02.tci-thaijo.org/index.php/eduthu/article/view/261058/178213

Chupthaisong, J. & Varothai, V. (2024a). Developing Athletes in the Digital Era: The Role of Human Resourcesin Enhancing Athletic Capabilities. Journal of MCU Kanchana Review, 4(3), 512–525. https://so05.tci-thaijo.org/index.php/Kanchana-editor/article/view/273471/184480

Chupthaisong, J., & Varothai, V. (2024b). Analysis of the Impact and Challenges of Technology Application in Sports Development. Dusit Thani College Journal, 18(2), 192–203. https://so01.tci-thaijo.org/index.php/journaldtc/article/view/274569/177802

Espinosa, H., Mears, A., Stamm, A., Ohgi, Y., & Coniglio, C. (2025). Wearable sensor technology in sports monitoring. Sports Engineering, 28(1), 1-3. https://doi.org/10.1177/1941738115616917

Felice, F., & Ley, C. (2025). Predicting handball matches with machine learning and statistically estimated team strengths. Journal of Sports Analytics, 11, 22150218251313937. https://doi.org/10.1177/22150218251313937

Huang, M., & Yongquan, T. (2025). Tech‐driven excellence: A quantitative analysis of cutting‐edge technology impact on professional sports training. Journal of Computer Assisted Learning, 41(1), e13082. https://doi.org/10.1111/jcal.13082

Kaur, D., Ahsan, M., & Gill, G. S. (2025). Digital Transformation in the Sports Industry: Driving Circular Economy in Sports Equipment and Infrastructure. In Innovating Sustainability Through Digital Circular Economy (pp. 65-90). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-0578-3.ch004

Li, Z., Wang, L., & Wu, X. (2025). Artificial intelligence based virtual gaming experience for sports training and simulation of human motion trajectory capture. Entertainment Computing, 52, 100828. https://doi.org/10.1016/j.entcom.2024.100828

Mohammadi, S., Pashaie, S., Ghaffarisadr, S. I., & Rayner, M. (2025). Opportunities and Challenges of Leveraging Artificial Intelligence (AI) in Sport Marketing. Advancing the Marketing Technology (MarTech) Revolution, 233-272. https://doi.org/10.4018/979-8-3693-4361-6.ch009

Navandar, R. K., Hasan, S. H., Jadhav, N., Singh, K. U., Monisha, R., & Venkatram, N. (2025). Modernizing sports an intelligent strategy for entertainment through internet of things in sports. Entertainment Computing, 52, 100804. https://doi.org/10.1016/j.entcom.2024.100804

Piancharoenwong, A., & Sukcharoenpong, S. (2024). Exploring AI Applications in Esports Management: Opportunities for Thailand. Journal of Management Science Nakhon Pathom Rajabhat University, 11(2), 55–65. https://doi.org/10.14456/jmsnpru.2024.27

Rahimi, N., Kamankesh, A., Amiridis, I. G., Daneshgar, S., Sahinis, C., Hatzitaki, V., & Enoka, R. M. (2025). Distinguishing among standing postures with machine learning-based classification algorithms. Experimental Brain Research, 243(1), 1-13. https://doi.org/10.1007/s00221-024-06959-9

Wunderlich, F., Biermann, H., Yang, W., Bassek, M., Raabe, D., Elbert, N., ... & Garnica Caparrós, M. (2025). Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting. Machine Learning, 114(2), 1-28. https://doi.org/10.1007/s10994-024-06651-7

Xu, T., & Baghaei, S. (2025). Reshaping the future of sports with artificial intelligence: Challenges and opportunities in performance enhancement, fan engagement, and strategic decision-making. Engineering Applications of Artificial Intelligence, 142, 109912. https://doi.org/10.1016/j.engappai.2024.109912

Yang, J., Zhang, X., & Pei, Y. (2025). Digital transformation of the business models of Chinese sporting goods enterprises in the post-COVID-19 era: a knowledge-management perspective. Journal of Knowledge Management, 29(3), 723-734. https://doi.org/10.1108/JKM-12-2022-0946

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Published

2025-03-01

How to Cite

Tongterm, T. (2025). Artificial Intelligence and the Development of Sports Science in Thailand: Opportunities and Challenges. Journal of Science, Technology and Agriculture Research, 6(1), 24–38. retrieved from https://ph02.tci-thaijo.org/index.php/ScienceRERU/article/view/257616