The sports industry has evolved into a highly commercialized sector where revenue generation and sponsorship management play a critical role in organizational sustainability. With the rapid growth of data availability, Artificial Intelligence (AI) has emerged as a powerful tool for analyzing fan behavior, sponsorship value, media reach, and revenue optimization. This research paper examines the role of AI-based systems in revenue forecasting and sponsorship analysis within sports organizations. It explores how AI techniques such as machine learning, predictive analytics, and data mining support strategic decision-making, enhance sponsorship valuation, and improve financial performance. The study concludes that AI-based revenue and sponsorship analysis provides a competitive advantage by enabling data-driven planning, efficient resource allocation, and long-term financial stability.
Santosh Bhujbal (Thu,) studied this question.
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