Video-on-Demand (VoD) streaming platforms are online services that provide on-demand access to video content, in the formats of movies and TV shows. Over the past decade, VoD platforms have experienced significant growth rates. However, there is limited understanding of the content selection strategies and processes used by these VoD services. In this study, we present our findings using a data analytics methodology developed and applied to analyze and compare the genre of content on different VoD platforms (Netflix, Amazon Prime Video, Apple TV, Disney+, HBO, and Paramount). Specifically, we analyze the distribution of genres across different platforms and identify similarities, differences, and associations. This research sheds light on the implicit content strategies of VoD platforms, provides examples of actionable insights and policy decisions, and provides a road map for future field research.