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analyst report

Siemens named leading industrial metaverse provider by PAC RADAR

Industry analyst firm recognizes Siemens for clear strategy, broad portfolio and successful commitment to industrial metaverse

Image of a virtual automobile body assembly line in the industrial metaverse created using SIEMENS and NVIDIA software technology.
In June 2022, Siemens announced its strategic ambition to enable the industrial metaverse through solutions that are part of the Siemens Xcelerator open digital business platform. These solutions include software for creating and managing digital twins, the physics-based, continually updated models that form the building blocks of the industrial metaverse. In the report, PAC releases conclusive findings of leading vendors in this market, namely Siemens.

Explore the exclusive analyst report packed with the latest industry findings for scaling digital factory transformation, including new market trends, use cases and competitor evaluations.

“The industrial metaverse is strongly centered around the interaction of people with and around digital models of complex industrial operations. PAC considers Siemens as the leading vendor in this space today. No other vendor has launched more new functions and capabilities designed to move towards the industrial metaverse in the past 12 months,” said Arnold Vogt, Head of Digital Innovation & IoT, PAC.

Siemens and NVIDIA announced an expansion of their partnership to enable the industrial metaverse and increase use of AI-driven digital twin technology that will help bring industrial automation to a new level

The emergent industrial metaverse

Together with MIT Technology Review, Siemens has embarked on collaborative research to explore the development and opportunities of the rapidly developing industrial metaverse.

The industrial metaverse will allow people to better collaborate and test real objects and processes in an immersive, intuitive, real-time environment, just as in the real world. Experts can be engaged remotely, and plant planning and optimization will become much easier, faster and more accurate, saving resources and reducing emissions. Access the analyst report to learn more.

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