Data and AI: Driving Revenue-Growth for Sports Organizations

Marc Mazodier ()
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Marc Mazodier: ESSEC Business School

A chapter in Diversify or Die, 2026, pp 103-114 from Springer

Abstract: Abstract This chapter positions AI-driven monetization not only as an efficiency play but as a strategic lever of diversification within core revenue structures. It highlights a shift from mass-market broadcasting toward personalized, data-rich business models that deepen fan relationships and unlock new value. The author explores enhanced fan experience, dynamic ticket pricing, personalized merchandise strategies, sophisticated sponsorship measurement, and smart stadium technologies. He demonstrates how sports organizations achieve significant engagement improvements implementing AI-powered fan relationship management. Strategic implementation requires data literacy, strong infrastructure, and compliance with privacy standards. Effective monetization depends on organizational transformation that combines technology, culture, and fan trust. This chapter contributes to understanding sustainable advantage in an increasingly data-driven sports industry.

Keywords: Artificial Intelligence (AI); Machine learning; Data analytics; Big data; Internet of things (IoT); 5G connectivity; Augmented Reality (AR); Virtual Reality (VR); Cloud computing; Biometric systems; Smart stadiums; Digital transformation (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-032-08538-2_7

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DOI: 10.1007/978-3-032-08538-2_7

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