A digital twin is a virtual replica of a physical entity or system, created using data from sensors and IoT technology. It simulates real-world performance, behavior, and conditions, enabling real-time monitoring and analysis. Digital twins are widely used in fields like manufacturing, aerospace, and healthcare to predict outcomes, optimize operations, and enhance product development. By providing insights into system performance, digital twins facilitate better decision-making and predictive maintenance, allowing organizations to reduce costs and improve efficiency. Their integration into the design and operational phases signals a transformative shift towards data-driven innovation.