In an era where technology has transcended into every aspect of our lives, healthcare stands to benefit immensely. One such pioneering concept, the “Digital Twin (DT)”, creates a simulated (virtual) replica of physical entities, allowing real-time monitoring and analysis. The DT bridges the virtual and physical worlds by digitally displaying physical objects. This digital clone can receive real-time data from its physical counterpart, enabling monitoring, analysis, and even prediction of outcomes. Incorporating DT in diabetes management through System Dynamics simulation (SDS) opens an avenue for personalized healthcare, heralding a new chapter in chronic disease management. DT allows unprecedented understanding and control over complex policy systems through sophisticated simulations. Some of these policies are successful, while some are unsuccessful. An SDS enables the creation of a DT of policy scenarios. Supported by data, these DTs help make informed decisions, reducing the risk associated with policy implementation. The advent of DT for diabetes management through SDS presents a promising stride toward healthcare policy implementation. Through SDS, a DT for diabetes management is proposed for India. System Dynamics-based model helps a model builder create a replica of the public health ecosystem, which can be simulated to assess the effect of various policies. The study shows that there will be an increased burden of diabetes in India and, hence, demand for the healthcare infrastructure in India. The study shows that irrespective of the prevention measures, the number of people living with diabetes will rise linearly.