Predicting the next wave of sports fans through artificial intelligence in the future of sports marketing: AI in sports marketing

Sajjad Pashaie*, Sardar Mohammadi, Mike Rayner

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

This chapter examines how artificial intelligence (AI) and Industry 4.0 technologies are transforming sports marketing. As traditional methods for analyzing fan behavior lose relevance, AI provides advanced tools to understand preferences, emotions, and purchase patterns. The chapter details the roles of machine learning (ML) for predictive analysis, natural language processing (NLP) for social media sentiment, and computer vision (CV) for visual engagement. It also explores AI integration with blockchain for secure fan data management and the use of virtual and augmented reality (VR/AR) for immersive experiences. These technologies enhance decision- making, marketing personalization, financial risk reduction, and operational efficiency. Ethical concerns, including data privacy and algorithmic bias, are also addressed. The chapter offers practical insights for marketers, analysts, and researchers on using AI to build more personalized and sustainable relationships with the evolving generation of tech- savvy sports fans.
Original languageEnglish
Title of host publicationImproving Consumer Engagement in Digital Marketing Through Cognitive AI
EditorsHamed Nozari, Sepideh Samadi, Stravroula Kalogeras
PublisherIGI Global Publishing
Chapter4
Pages51-98
Number of pages47
ISBN (Electronic)9798337337777
ISBN (Print)9798337337753, 9798337337760
DOIs
Publication statusPublished - 24 Sept 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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