This thesis explores dance events using Google Trends as a tool for analyzing keywords in internet searches. The main goal of the research was to analyze interests and the popularity of dance activities in Croatia and Slovenia, as well as to identify seasonal and regional trends in the search for key terms related to dance. By using Google Trends, data was collected on the search for keywords such as "dance," "dance club," "dance studio," "hip hop," and "Latin American dances," allowing for an analysis of geographical differences and seasonal fluctuations in interest in dance. The results show that interest in dance is significantly higher in Slovenia than in Croatia, with particularly high interest during the summer months. In Croatia, interest in dance is most pronounced in urban and tourist-developed regions such as Zagreb, the Dubrovnik-Neretva, and Istria counties. In Slovenia, the cities of Laško and Kamnica stand out as centers with the greatest interest in dance activities. The thesis also examines the role of dance conventions as a database for dancers and the impact of digitization and big data on the development of the dance industry. The use of Google Trends proved useful for understanding trends in the dance industry and can serve as a basis for future research and planning of dance events. Recommendations for further research include expanding the analysis to other regions and countries, deeper analysis of seasonal trends, and combining it with other analytical tools to obtain a more comprehensive insight into the popularity of dance. This thesis contributes to a better understanding of the dance scene in Croatia and Slovenia and provides useful guidelines for the development of the dance industry at the regional and international levels.