Digital Twin Technology: A Comprehensive Review of Architecture, Modeling, Applications, and Future Directions

A Digital Twin refers to a digital counterpart to a physical entity with which its connected through data. Sensing ,communication, storage, mathematical and computational models, simulation, analytics, visualization, and artificial intelligence are combined to represent changing physical conditions. This paper provide an in-depth examination of digital twin technology, including its concept, characteristics, architecture, data pipeline, modelling approaches, lifecycle, enabling technologies, applications, benefits, limitations, cybersecurity requirements, and future directions. The discussion includes manufacturing, healthcare, transportation, energy, building, agriculture, smart cities, education, and other areas. The paper also covers the differences between digital twins and static digital models and simulations, how physical and digital environments exchange information, and hoe the technology can support monitoring, prediction, optimization and decision making .