AI Analysis of Global Film and Music Consumption

Abstract

This study analyzes the global film and music listening habits with the help of AI-guided data processing and renders specific trends with respect to region, audience, genre, and platform.  The study employs large-scale data using the machine learning paradigm to report significant differences in the level of involvement in both arenas.  The findings demonstrate that the citizens of Asia and North America view the highest numbers of movies each week, whereas people of Europe and South America listen to the greatest amounts of music each week.  Following genre-based statistics, the most well-liked types of movies are Action and Comedy as well as the most well-liked genres of music being Pop and Hip-Hop globally.  The streaming of movies on Netflix and music on Spotify is the largest globally as indicated on the platform analysis. The second place is occupied by Apple Music and Youtube Music.  One thing that demographic data demonstrates is that younger individuals ranging between the ages of 18-34 are the people with the greatest interest concerning movies and music. People that are older are, however, less interested.  Cross-platform comparisons indicate that individuals watching many movies are more prone to listen to many records too. This demonstrates that the life of digital entertainment is converging.  Presenting complex diagrams such as bar graphs, line graphs, pie charts, scatter plots and composite plots to present results gives solid evidence of how the world economy in consumption works.  All these evidence points to the effectiveness of AI as a research tool to assess the cultural trends, predict behavioural alterations, and assign strategic knowledge to the industrial players.  The study contributes both to theoretical and practical arenas in providing knowledge about connecting digital media consumption with cultural behaviour in a better connected cross-nation context.