This study aims to identify the influence of MZ generation on the sports industry through big data analysis. To this end, text mining, tf-idf, connection centrality, semantic network analysis were conducted using social big data analysis program Textom and social network analysis Ucinet6. The study period was limited from January 1, 2020 to December 31, 2022. Pop-up store, experience, eco-friendly, professional sports, professional baseball, athleisure look, metaverse, Avley, and platforms were extracted from the MZ generation and sports industry. Second, unique collaborations, running crew, The Hyundai Department Store, beverage brands, and sports brands were extracted from the MZ generation and sports marketing. Third, E-Sports, events, League of Legends, banking and finance, communication, potential future customers, sponsors, and insurance were extracted from the MZ generation and E-Sports. Fourth, fashion, Nike, Umbro, Fila, and luxury goods were extracted from the MZ generation and sportswear brands. Fifth, COVID-19, popularity, noble sports, leisure sports, and lifestyle were extracted from the MZ generation and golf. Therefore, it is hoped that the results of this study will serve as basic data for the establishment of marketing strategies to target the MZ generation and development plans for the sports industry.