Due to the significant morbidity and death rates associated with diabetes mellitus worldwide, it is crucial to identify risk factors in populations at risk early in the course of illness. The term "metabolic syndrome" refers to a collection of interrelated physiological, biochemical, clinical, and metabolic variables that significantly raises the risk of type 2 diabetes, cardiovascular disease, and all-cause mortality. The chance of developing pre-diabetes and the progression of T2DM over time may be predicted using the MetS severity score. We emphasize the importance of early metabolic syndrome identification in predicting pre-diabetes and T2DM. The accuracy of this as a diagnostic tool is demonstrated by the relationship between the severity of the metabolic syndrome (MetS) and the likelihood of developing type 2 diabetes in the future.