NVIDIA and Partners Showcase the Future of AI-Powered Manufacturing at Hannover Messe 2026

At Hannover Messe 2026, NVIDIA and partners unveiled a wide range of AI-driven manufacturing use cases spanning design, simulation, operations, and robotic automation in manufacturing. The core message is no longer whether to adopt AI, but how fast and at what scale it can be applied.

Applying AI across factories and supply chains requires infrastructure to sit on top of. In Germany, Deutsche Telekom's Industrial AI Cloud, built with NVIDIA AI infrastructure, was presented as a secure, sovereign foundation for European industry, and Agile Robots, SAP, Siemens, PhysicsX, Wandelbots, and EDAG showcased how they run workloads such as real-time simulation, digital twin, and software-defined robotics on this platform.

On the hardware side, Dell Technologies, IBM, Lenovo, and PNY exhibited NVIDIA-accelerated systems from edge to data center, demonstrating a direction that supports faster simulation and the deployment of computer vision, AI agents, and robotics on the factory floor.

In the engineering domain, Cadence, Dassault Systèmes, Siemens, and Synopsys unveiled the integration of CUDA-X, AI physics, NVIDIA Omniverse, and NVIDIA Nemotron open models into their software to strengthen physics-grounded simulation and agentic workflows. Complex industrial systems are being designed and validated faster, evolving toward a way in which engineers explore alongside AI.

Virtualizing factory operations is also a key pillar. ABB Genix Industrial IoT and AI Suite combines Omniverse with Microsoft Azure to understand asset status including context, and accelerates root cause analysis with AI agents. Siemens Digital Twin Composer, Kongsberg Digital Kognitwin, Microsoft Fabric Real-Time Intelligence, and Azure Physical AI Toolchain were also presented as cases supporting precise digital twins and physical AI deployment, respectively.

On the shop floor, vision AI agents are transforming production lines. Systems based on NVIDIA Metropolis, Nemotron, and Cosmos open models combine multiple data streams and camera infrastructure to enhance quality control and worker safety, and Invisible AI's Vision Execution System analyzes production cycles in real time with Cosmos Reason 2 and Nemotron. Tulip Interfaces' Factory Playback ties together machine telemetry, worker workflows, quality events, and video into a single timeline, leading to expectations of a 3% yield increase and a 10% reduction in rework at Terex.

In robotics, Humanoid HMND 01 performed autonomous logistics tasks at Siemens' automated electronics factory using NVIDIA Jetson Thor, Isaac Sim, and Isaac Lab, reportedly cutting development time from the typical 2 years to 7 months. The SCHUNK GROW automation cell, Wandelbots NOVA, Hexagon Robotics, and AEON's deployment at BMW's Leipzig plant also demonstrated the physical AI stack becoming reality, connecting simulation, validation, and deployment.

Lastly, QNX expanded its collaboration with NVIDIA, integrating QNX OS for Safety 8.0 into the NVIDIA IGX Thor and NVIDIA Halos safety stack. A clear trend is emerging in which NVIDIA's industrial AI strategy is being consolidated into a single stack spanning factories, engineering, robotics, and safety systems.