Proceedings of the 2025 4th International Conference on Big Data Economy and Digital Management (BDEDM 2025)

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Harnessing Big Data in Sports Content: Current Applications and Future Directions

Authors
Bin Yue1, Cheng Li1, *, Haining Hu2, Ruipeng Shao1, Xixi Zhang1
1Kyungil University, Department of Physical Education, Kyungsan, Korea
2Sanmenxia Polytechnic, Basic teaching department, Sanmenxia, China
*Corresponding author. Email: li787624890@126.com
Corresponding Author
Cheng Li
Available Online 14 May 2025.
DOI
10.2991/978-94-6463-710-6_5How to use a DOI?
Keywords
Sports; Big Data; Internet of Things (IoT); Artificial Intelligence (AI); Content; Sports Industry
Abstract

The early application of big data in the sports sector primarily focused on analyzing athlete performance and enhancing competitive abilities. With the advent of advanced “big data technologies,” powered by ICT innovations such as the Internet of Things (IoT) and artificial intelligence (AI), it has become possible to collect and analyze more detailed and diverse datasets. These advancements have unlocked substantial value and potential for the use of big data in sports content within smart environments. However, significant challenges remain, particularly the lack of robust platforms to effectively manage and share sports content. To address these limitations, it is crucial to transform how companies and organizations perceive sports content. This includes fostering the development of professional talent skilled in big data applications and adopting systematic policies to manage and leverage the vast data streams generated by sports content. Addressing these issues will pave the way for maximizing the potential of big data in the sports industry.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Big Data Economy and Digital Management (BDEDM 2025)
Series
Advances in Intelligent Systems Research
Publication Date
14 May 2025
ISBN
978-94-6463-710-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-710-6_5How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bin Yue
AU  - Cheng Li
AU  - Haining Hu
AU  - Ruipeng Shao
AU  - Xixi Zhang
PY  - 2025
DA  - 2025/05/14
TI  - Harnessing Big Data in Sports Content: Current Applications and Future Directions
BT  - Proceedings of the 2025 4th International Conference on Big Data Economy and Digital Management (BDEDM 2025)
PB  - Atlantis Press
SP  - 32
EP  - 40
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-710-6_5
DO  - 10.2991/978-94-6463-710-6_5
ID  - Yue2025
ER  -