Industrial Metaverse: Strategic Foundations and Lifecycle Value for Industrial Transformation

Industrial value creation is undergoing continuous and profound transformation. Global competition, supply chain volatility, an accelerating shortage of skilled workers, and rising sustainability requirements are forcing companies to rethink product development, factory operations, service provision, and  collaboration with partners. Meanwhile, digitalization has advanced to the point where companies manage complex IT systems, accumulate large amounts of diverse data, and rely increasingly on interconnected systems. However, organizations still struggle to translate this potential into actionable value. Currently, most workers and decision-makers interact with industrial data through fragmented systems, nonintegrated interfaces, and isolated tools. Engineering simulations, IoT data, operational dashboards, and lifecycle documentation reside in separate environments that rarely communicate. Consequently, collaboration is limited, valuable insights are lost, and decision-making remains slow or incomplete.

The industrial metaverse potential

The industrial metaverse addresses these challenges by providing a persistent, immersive, data-rich environment where digital twins, simulation models, real-time data, and human interaction converge. Current industrial applications primarily focus on internal use cases, through which companies have already achieved measurable improvements in efficiency, quality, and knowledge transfer. The industrial metaverse's value extends far beyond internal optimization in the long term. It will truly shine when multiple companies can collaborate securely and independently, sharing lifecycle data to enable new service offerings, accelerate innovation, and support circular economy strategies. It will truly shine when multiple companies can securely and independently collaborate, sharing lifecycle data to enable new service offerings, accelerate innovation, and support circular economy strategies.

The importance of strategy and collaboration

Realizing this potential requires technological maturity and a clear strategic plan. Adopting the industrial metaverse is a long-term transformation that relies on robust data architectures, interoperable IT and OT systems, and new organizational capabilities. At the same time, companies must achieve tangible benefits early on to justify the investment and build internal momentum. Effective strategies therefore balance long-term architectural development with short- and mid-term use cases that deliver measurable value – such as XR-based training, immersive engineering reviews,  virtual commissioning, among others.

Cross-company collaboration introduces challenges related to data sovereignty, identity management, and secure data exchange. Data spaces are an emerging architectural foundation that addresses these requirements. They enable decentralized, policy-governed data sharing among partners while allowing each organization to retain full control over its data. As industrial metaverse ecosystems evolve toward multi-stakeholder participation, data spaces offer the necessary governance layer to ensure trust, interoperability, and scalability.

Fraunhofer IPK supporting this transformation

Fraunhofer IPK supports companies throughout the entire transformation process. Using established technology roadmapping methods, Fraunhofer IPK helps companies define strategic goals, identify valuable use cases, and develop structured adoption pathways. Further support includes conceptualizing industrial metaverse applications, developing data-driven and service-oriented business models, developing dataspace architectures, prototypically realizing industrial metaverse applications, and systematically evaluating their impact. By combining systematic methods with technological expertise, Fraunhofer IPK enables companies to reach the full potential of the industrial metaverse and establish the basis for resilient, forward-looking industrial ecosystems.