Siemens Unveils Digital Twin Composer for Industrial Metaverse

Siemens presented the Digital Twin Composer software solution at CES 2026, which integrates physical AI with real-time data. This technology allows organizations to create industrial metaverse environments at scale to optimize decision-making through high-fidelity simulations.

The implementation of this tool addresses the requirement to unify data silos and disconnected systems that have traditionally limited collaboration between design, engineering, and operations departments. By centralizing these functions, companies can validate complex processes in a virtual environment before they commit physical resources.

"The new Digital Twin Composer makes our vision of the industrial metaverse a reality. It helps manufacturers overcome the challenges of mastering complexity, accelerating production, reducing costs, and increasing profitability," says Joe Bohman, Executive Vice President of PLM Products, Siemens Digital Industries Software. 

The significance of Digital Twin Composer involves its ability to combine 2D and 3D digital twin data with NVIDIA Omniverse libraries to ensure photorealistic and secure visual scenes. This advancement allows industrial sectors, from smartphone manufacturing to shipbuilding, to interact with assets in a real context before physical execution, which minimizes operational and financial risks associated with large-scale infrastructure.

"By integrating the NVIDIA Omniverse libraries into Digital Twin Composer, companies can leverage physically accurate simulation across their workflows to validate their entire lifecycle, from product design to factory logistics, in the virtual world before committing a single atom in the real world," says Rev Lebaredian, Vice President of Omniverse and Simulation Technology, NVIDIA. 

This technology significantly optimized performance metrics after its implementation at PepsiCo’s facilities in the United States. The corporation transformed factories and warehouses into high-fidelity 3D digital twins that simulate end-to-end operations to establish a performance baseline, says Siemens.

By using computer vision and the precise recreation of operator paths, conveyor belts, and pallet routes, PepsiCo can identify up to 90% of potential operational issues before any physical modifications occur. The initial implementation led to a 20% increase in throughput and reductions between 10%–15% in capital expenditures, while enabling almost 100% design validation in virtual environments.

Digital Twin Composer is part of the Siemens Xcelerator portfolio, which allows for connection to critical industrial data sources. These sources include manufacturing execution systems, quality management systems, and the industrial internet of things, to name a few. Furthermore, the solution is compatible with the Rapidminer AI and data science software to provide deeper predictive insights.

The tool is in an early access phase for selected customers following its official debut in Las Vegas. This platform is expected to become the standard for operating products and facilities from active digital twins, which allows engineers to perform iterations in minutes that previously required months of hardware testing.