Skip to main content

REVIEW article

Front. Virtual Real.
Sec. Virtual Reality in Industry
Volume 6 - 2025 | doi: 10.3389/frvir.2025.1488926
This article is part of the Research Topic A Metaverse for the Good: Design, Application and Understanding View all 13 articles

Metaverse in Industrial Contexts -A Comprehensive Review

Provisionally accepted
Ravdeep Kour Ravdeep Kour *Ramin Karim Ramin Karim Naveen Venkatesh Sridharan Naveen Venkatesh Sridharan Uday Kumar Uday Kumar
  • Luleå University of Technology, Luleå, Sweden

The final, formatted version of the article will be published soon.

    This paper explores the potential of Metaverse technology in industrial Asset Management (AM). By integrating AI and digital technologies, the Metaverse can enhance Human-System-Interaction (HSI) and optimise AM processes. However, implementing a Metaverse in industrial contexts faces challenges, particularly in visualising physical and virtual assets. This paper conducts a systematic review to address these challenges and identify potential solutions. The findings reveal that while the necessary technologies are available, their widespread adoption in industrial AM is limited. The paper presents a comprehensive overview of research themes related to Metaverse applications in industrial contexts, highlighting the evolving landscape and potential benefits. Ultimately, this research aims to contribute to the advancement of Metaverse technology in industrial AM by providing insights into its development, implementation, and challenges along with an Industrial Metaverse Framework. An example of applying the Metaverse concept in the railway sector has been presented and validated using railway digital assets available within the eMaintenance LAB. The practical implications of this work are expected to result in increased efficiency and effectiveness in the operation and maintenance procedures across various industrial sectors.

    Keywords: Industrial, Metaverse, review, Railway, asset management

    Received: 30 Aug 2024; Accepted: 06 Jan 2025.

    Copyright: © 2025 Kour, Karim, Sridharan and Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ravdeep Kour, Luleå University of Technology, Luleå, Sweden

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.