# Digital Twin in Industries: A Comprehensive Survey arXiv: https://arxiv.org/abs/2412.00209 ยท HTML: https://mlsanity.com/paper/2412.00209/ ## Key facts - Cited by 4 papers in the map (data through 14 Oct 2026). - Builds on 25 of its 205 references that are in the map. - First posted on arXiv 29 Nov 2024. ## Builds on (most cited first, 25 of 25) - [Federated Learning for Internet of Things: A Comprehensive Survey](https://mlsanity.com/paper/2104.07914/) (2021) - [Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges](https://mlsanity.com/paper/2104.01776/) (2021) - [Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities](https://mlsanity.com/paper/2202.02559/) (2022) - [Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions](https://mlsanity.com/paper/2102.12169/) (2021) - [Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks](https://mlsanity.com/paper/2011.09902/) (2020) - [6G Digital Twin Networks: From Theory to Practice](https://mlsanity.com/paper/2212.02032/) (2022) - [Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler](https://mlsanity.com/paper/2311.17451/) (2023) - [Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin](https://mlsanity.com/paper/1907.01523/) (2019) - [A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects](https://mlsanity.com/paper/2301.13350/) (2023) - [Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks](https://mlsanity.com/paper/2011.08430/) (2020) - [Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept](https://mlsanity.com/paper/2402.12682/) (2024) - [Digital Twin for Networking: A Data-driven Performance Modeling Perspective](https://mlsanity.com/paper/2206.00310/) (2022) - [Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses](https://mlsanity.com/paper/2309.00477/) (2023) - [Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges](https://mlsanity.com/paper/2406.07857/) (2024) - [Machine learning based digital twin for dynamical systems with multiple time-scales](https://mlsanity.com/paper/2005.05862/) (2020) - [Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks](https://mlsanity.com/paper/2407.00286/) (2024) - [Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G](https://mlsanity.com/paper/2108.05781/) (2021) - [Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse](https://mlsanity.com/paper/2210.04606/) (2022) - [Bi-directional Digital Twin and Edge Computing in the Metaverse](https://mlsanity.com/paper/2211.08700/) (2022) - [Semantic-aware Digital Twin for Metaverse: A Comprehensive Review](https://mlsanity.com/paper/2305.18304/) (2023) - [Adaptive Digital Twin for UAV-Assisted Integrated Sensing, Communication, and Computation Networks](https://mlsanity.com/paper/2310.17470/) (2023) - [Digital Twin-Empowered Communications: A New Frontier of Wireless Networks](https://mlsanity.com/paper/2307.00973/) (2023) - [Joint Vehicle Connection and Beamforming Optimization in Digital Twin Assisted Integrated Sensing and Communication Vehicular Networks](https://mlsanity.com/paper/2408.00248/) (2024) - [Integrated Sensing and Communication Driven Digital Twin for Intelligent Machine Network](https://mlsanity.com/paper/2402.05390/) (2024) - [AI-enabled Cyber-Physical In-Orbit Factory -- AI approaches based on digital twin technology for robotic small satellite production](https://mlsanity.com/paper/2401.17799/) (2024) ## Built on by (most cited first, 4 of 4) - [Spiking Neural Networks: The Future of Brain-Inspired Computing](https://mlsanity.com/paper/2510.27379/) (2025) - [GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant](https://mlsanity.com/paper/2603.01059/) (2026) - [A Scalable Digital Twin Framework for Energy Optimization in Data Centers](https://mlsanity.com/paper/2605.05581/) (2026) - [A Hybrid Edge Cloud Digital Twin for Welfare-Constrained Control in Poultry Production](https://mlsanity.com/paper/2608.20367/) (2026) ## Abstract (arXiv) Industrial networks are undergoing rapid transformation driven by the convergence of emerging technologies that are revolutionizing conventional workflows, enhancing operational efficiency, and fundamentally redefining the industrial landscape across diverse sectors. Amidst this revolution, Digital Twin (DT) emerges as a transformative innovation that seamlessly integrates real-world systems with their virtual counterparts, bridging the physical and digital realms. In this article, we present a comprehensive survey of the emerging DT-enabled services and applications across industries, beginning with an overview of DT fundamentals and its components to a discussion of key enabling technologies for DT. Different from literature works, we investigate and analyze the capabilities of DT across a wide range of industrial services, including data sharing, data offloading, integrated sensing and communication, content caching, resource allocation, wireless networking, and metaverse. In particular, we present an in-depth technical discussion of the roles of DT in industrial applications across various domains, including manufacturing, healthcare, transportation, energy, agriculture, space, oil and gas, as well as robotics. Throughout the technical analysis, we delve into real-time data communications between physical and virtual platforms to enable industrial DT networking. Subsequently, we extensively explore and analyze a wide range of major privacy and security issues in DT-based industry. Taxonomy tables and the key research findings from the survey are also given, emphasizing important insights into the significance of DT in industries. Finally, we point out future research directions to spur further research in this promising area.