This study presents a comprehensive bibliometric analysis of scientific publications related to the application of Machine Learning in Business, aiming to identify the evolution of this research area over recent years. It examines the most prominent research trends, focusing on the most relevant thematic areas, the most widely used technologies, and emerging concepts. Furthermore, it identifies the most influential authors in the field and analyzes collaboration networks among researchers and institutions, providing insight into how knowledge is constructed and who the leaders in this discipline are. The findings of this study offer an integrated view of the current and future landscape of research on Machine Learning applied to Business, highlighting key contributions and the collaborative dynamics driving this field.