Random Matrix Theory (RMT) has evolved significantly since its inception, impacting various fields such as physics, statistics, finance, biology, combinatorics and data science. A review on the major advances in RMT over recent decades, highlighting key theoretical developments, applications are presented. Further, the expansion of universality classes, non-Hermitian random matrices, free probability, and their implications in practical applications are explored.