Industrial Digitalization in the Metaverse: Enhancing Technical Services Through Immersive Technologies

This paper introduces a theoretical framework that categorizes technical services in the metaverse based on seven key attributes. These attributes are crucial for enhancing diverse industrial and professional applications, ranging from remote operations and virtual prototyping to education and training. The framework enables businesses to strategically identify and prioritize the attributes that align with their specific service needs. By examining a range of use cases, this paper studies how the Metaverse as a Service model can support scalable, cloud-based immersive solutions. A checklist based on the identified attributes serves as a practical guide for organizations seeking to integrate technical services into the metaverse, optimizing service delivery and collaboration. The paper concludes by highlighting the potential of Metaverse to revolutionize technical services across various sectors, while acknowledging the challenges of scalability, data privacy, and integration with existing systems. Future research will focus on refining the framework, exploring new use cases, and addressing the interoperability of immersive platforms to ensure seamless adoption of metaverse-based services.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/ice/itmc65658.2025.11106632
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Industrial Digitalization in the Metaverse: Enhancing Technical Services Through Immersive Technologies

Thomas Meiren, Katharina Hölzle, Abdul Rahman Abdel Razek
Impact of AI and Big Data on Business and Society
article

Industrial Digitalization in the Metaverse: Enhancing Technical Services Through Immersive Technologies

Thomas Meiren, Katharina Hölzle, Abdul Rahman Abdel Razek
article en

Abstract

This paper introduces a theoretical framework that categorizes technical services in the metaverse based on seven key attributes. These attributes are crucial for enhancing diverse industrial and professional applications, ranging from remote operations and virtual prototyping to education and training. The framework enables businesses to strategically identify and prioritize the attributes that align with their specific service needs. By examining a range of use cases, this paper studies how the Metaverse as a Service model can support scalable, cloud-based immersive solutions. A checklist based on the identified attributes serves as a practical guide for organizations seeking to integrate technical services into the metaverse, optimizing service delivery and collaboration. The paper concludes by highlighting the potential of Metaverse to revolutionize technical services across various sectors, while acknowledging the challenges of scalability, data privacy, and integration with existing systems. Future research will focus on refining the framework, exploring new use cases, and addressing the interoperability of immersive platforms to ensure seamless adoption of metaverse-based services.

Fraunhofer Institute for Industrial Engineering (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 76%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.