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Review | Open Access | Online First

Advances in digital twin technology in industry: A review of applications, challenges, and standardization

Li Ai^{^a}(), Paul Ziehl^{^a^,^b}

aDepartment of Civil and Environmental Engineering, University of South Carolina, Columbia 29208, USA

bDepartment of Mechanical Engineering, University of South Carolina, Columbia 29208, USA

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Abstract

This paper provides a comprehensive literature review on the application of digital twins (DTs) and the development of artificial intelligence (AI), big data, and building information management (BIM). Driven by the Internet of Things (IoT), big data analytics, and AI, the DT technology has become a transformative force in Industry 4.0. It enables real-time simulation, analysis, and optimization of industrial systems throughout their lifecycle, leading to significant improvements in operational efficiency and decision-making processes. This review explores the various applications, challenges, and prospects of DTs in the aerospace, manufacturing, construction, and power industries. The key challenges discussed include data management, model complexity, cybersecurity, and standardization. This review highlights the importance of addressing these challenges to realize the full potential of the DT technology in various industries while emphasizing the need for high-quality data, accurate modeling, robust security measures, and standardized evaluation criteria. As the DT technology continues to evolve, it will play a key role in advancing smart, resilient, and efficient industrial systems.

Keywords

digital twins building information management Internet of Things industrial system

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Journal of Intelligent Construction

DOI: 10.26599/JIC.2025.9180083

Cite this article:

Ai L, Ziehl P. Advances in digital twin technology in industry: A review of applications, challenges, and standardization. Journal of Intelligent Construction, 2025, https://doi.org/10.26599/JIC.2025.9180083

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