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Published on 13 March 2025
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Smart Stadiums and the Future of Sports Entertainment: Leveraging IoT, AI, and Blockchain for Enhanced Fan Engagement and Venue Management

Xiangkun Liang *,1,
  • 1 Ningxia Normal University, Ningxia, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.21386

Abstract

The research presented in this paper demonstrates how smart stadiums can use IoT, AI, and blockchain technologies for boosting fan engagement and operational efficiency. The research investigates the application of technology to both elevate fan experiences and streamline venue management operations. Stadium operations use IoT devices like sensors and cameras to track crowd movements and control seating while maintaining optimal environmental conditions which together improve service delivery. AI-driven applications improve customer satisfaction by offering personalized fan interactions through recommendation systems alongside virtual assistants and augmented reality features. Blockchain technology enables secure and transparent ticketing systems as well as digital collectible transactions which operate without fraud. The paper discusses implementation difficulties these technologies face which include concerns about data privacy as well as infrastructure expenses and scalability issues. Smart stadiums create an enhanced fan experience along with better operational management while generating new revenue streams and eliminating operational inefficiencies. Additional research should investigate how combining 5G with cloud computing technologies can boost smart stadium operations and improve fan interactions.

Keywords

Smart Stadiums, IoT, Artificial Intelligence, Blockchain, Fan Engagement

[1]. Mahdi, Mustafa Jamal, Abbas Fadhil Aljuboori, and A. M. Hussein. "Smart stadium using cloud computing and Internet of Things (IoT): Existing and new models." International Journal of Computer Applications Technology and Research 10.05 (2021): 111-118.

[2]. Raman, Ramakrishnan, and Akansha Singh. "5G and IoT for Smart Stadium Operations for Enhancing Fan Experience and Safety." 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT). IEEE, 2023.

[3]. van Heck, Simon, Bart Valks, and Alexandra Den Heijer. "The added value of smart stadiums: A case study at Johan Cruijff Arena." Journal of Corporate Real Estate 23.2 (2021): 130-148.

[4]. Gangrade, Shubham, et al. "Cloud computing and internet of things plays vital role in smart stadium." Int J Sci Res Eng Trends 9 (2023): 350-358.

[5]. Beatriz, Miguel Filipe, and Vítor Santos. "Stadium 2.0: framework to improve sports fans’ experience in stadium through IoT technology." Information and knowledge in internet of things (2022): 229-247.

[6]. Patel, Shail, et al. "The Smart Stadium Testbed for Sports Analytics Systems Research, Development and Deployment." SN Computer Science 6.2 (2025): 113.

[7]. Camargo, Caio, et al. "Internet of Things for Intelligent Management of Professional Football Turf Pitches." 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4. 0&IoT). IEEE, 2023.

[8]. Yanbo, Wang, B. Bizu, and V. Praveena. "Deep Learning Based Smart Monitoring of Indoor Stadium Video Surveillance." Journal of Multiple-Valued Logic & Soft Computing 36 (2021).

[9]. Yu, Tai, and Hongxin Cao. "Intelligent Exploration of College Stadiums Under the Background of “Internet+”." 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023). Atlantis Press, 2023.

Cite this article

Liang,X. (2025). Smart Stadiums and the Future of Sports Entertainment: Leveraging IoT, AI, and Blockchain for Enhanced Fan Engagement and Venue Management. Applied and Computational Engineering,138,155-160.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Software Engineering and Machine Learning

Conference website: https://2025.confseml.org/
ISBN:978-1-83558-981-6(Print) / 978-1-83558-982-3(Online)
Conference date: 2 July 2025
Editor: Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.138
ISSN:2755-2721(Print) / 2755-273X(Online)

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