European manufacturers expand use of industrial AI
- June 17, 2025
- William Payne

NVIDIA has revealed that European manufacturers such as BMW Group, Maserati, Mercedes-Benz and Schaeffler are adopting NVIDIA-powered applications to transform their industrial processes. Applications being employed range from simulated product design and factory planning to AI-driven operations and logistics from software developers such as Ansys, Cadence and Siemens.
Schaeffler is using AI factories and adopting NVIDIA’s physical AI stack for digital factory planning, training humanlike robotic skills and scaling AI-powered automation across its 100+ manufacturing plants. By tapping into the Omniverse ecosystem using applications from Siemens, Schaeffler is creating digital twins of its facilities to enable efficient, resilient and safe production across the entire value chain.
Schaeffler also works with partners such as Microsoft Azure Industrial Cloud and Wandelbots, using the latter’s NOVA platform, which supports optimised simulation, integration and maintenance of robotic solutions, to integrate the Mega NVIDIA Omniverse Blueprint. Initial use cases are already progressing toward series maturity, with a goal to accelerate deployment by reducing integration costs.
BMW Group is building digital twins of its production facilities, including through the use of NVIDIA Omniverse libraries. These plant-scale digital twins let BMW global production planning teams collaborate in real time, optimise the layout and design of complex manufacturing systems, and develop autonomous robot and vision AI applications prior to real-world deployment.
BMW and Siemens are also accelerating the simulation of vehicle aerodynamics while reducing energy consumption and costs. Tests on NVIDIA Grace Blackwell and CUDA-X-accelerated Simcenter Star-CCM+ software have shown a speed-up of 30x for transient aerodynamics simulations of entire vehicle geometries.
Mercedes-Benz is using Omniverse to design and optimise factory assembly lines virtually, reducing downtime and improving efficiency across its factories worldwide.


