Industrial Metaverse: Technology, use cases and partnerships

Industrial Metaverse

Technological building blocks, use cases and partnerships

From Industry 4.0 to the Industrial Metaverse

The digitization of industry is advancing and new potential is constantly emerging through the use of innovative technologies such as artificial intelligence. The automation of production also continues to advance. However, the increasingly dynamic change in product requirements and technological possibilities also makes it necessary for production processes to be planned, modeled and implemented more quickly and with greater accuracy.

The next evolutionary stage of digitization will be achieved through the networked virtual control and optimization of product development and production planning. This requires an intelligent combination of a large number of existing and disruptive technologies with Döman knowledge, as well as entirely new forms of collaboration between engineers, data scientists, and employees and machines on the store floor.

Networked virtualization of product development and production

 

New opportunities for holistic optimization are emerging through networked digital twins in integrative collaboration environments such as Nvidia’s Omniverse. They are not only key to greater efficiency in product creation, but could also develop into the heart of the autonomous factory of the future.

The digital twin is the virtual representation of a physical object that can be optimized and further developed along its entire life cycle using real-time data and simulations. As a result, prototype construction, for example, can be cost-effectively, almost completely virtualized, or the use of robots in manufacturing can be perfected to prevent accidents and damage in the trade. Virtualization of product development and production also increases the speed of innovation: New materials and manufacturing processes can be simulated and tested in their entire impact on the value chain. If entire teams can then work in parallel on their digital twins in a network without time-consuming data transfer, the result is a highly efficient, collaborative working environment. This is not only helpful in the design and control phase, but can also be put to good use during training and maintenance work on the machines.

Current challenges in the implementation of the Industrial Metaverse

According to a recent study by MIT, the market potential of the Industrial Metaverse will increase tenfold to around USD 100 billion by 2030. In our consulting activities, we are also observing a strong interest in industrial metaverse applications and assume that many innovative technologies will pay off in combination to realize the industrial metaverse. We are at the beginning of a new production era. However, the first successful developments also highlight the challenges that currently need to be solved:

Collaborative Incubation: The Fast Track to your Industrial Metaverse Application

As an experienced innovation consultant for the manufacturing industry and active co-designer of the necessary ecosystem for the efficient implementation of innovations, we cordially invite you to concretize your use cases within the framework of our Collaborative Incubation program.

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Spinn Off COMAN

COMAN Software GmbH was founded in 2018 as a spin-off of inpro and has been on the road to success ever since. The company, which offers an innovative solution for "object-oriented project management", completed another financing round worth millions at the beginning of 2024.

Innovation partnership: Accenture and inpro

Accenture and inpro are combining their digitalization and innovation expertise to support industrial companies, particularly in the automotive sector. By using technologies such as AI, data analysis and evaluation or automatic image recognition, quality problems in the manufacturing industry, for example, are to be identified more quickly and resolved sustainably.

2023-11-22T14:29:32+01:00
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