Digital Twin (DT), as a virtual representation of physical entities, has emerged as a pivotal technology in enhancing consumer experiences across various industries. The study aims to explore the diverse DT applications in fashion, consumer electronics, healthcare, and the food industry, identifying key trends, benefits, and challenges. Using Bibliometric analysis (R package & VOSviewer) and Systematic Literature Review with the research articles published from 2018 to 2024, the study examines DT research advancements. Additionally, Topic Modeling and sub-field trend analysis (year-on-year trends, proportions) were conducted using Python. Findings reveal a growing scholarly interest, particularly in DT’s integration with IoT, sustainability, and automation. Results highlight DT’s role in enabling real-time monitoring, predictive analytics, and enhanced user engagement across sectors. The study concludes that DT is a game-changer, driving innovation, optimizing operations, and fostering sustainability, ultimately reshaping consumer industries for the future.
Helen et al. (Sun,) studied this question.
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