News

Siemens mentioned as the Current Company to Beat in the 2026 Gartner® AI Vendor Race report on Physical AI Services

As organizations move from AI experimentation to operational deployment, success increasingly depends on connecting engineering, simulation, automation, and operational execution into a unified environment.

Gartner reports that “Siemens currently sits at the head of the physical AI services (PAIS) pack because it controls critical portions of the physical AI operating stack. Unlike many competitors that primarily integrate third-party technologies, Gartner reports that Siemens develops and operates many of the platforms used to design, simulate, deploy, orchestrate, and optimize physical systems. This creates a structural advantage as physical AI deployments move from pilots to scaled operations.”

Bridging the gap between simulation and shop floor with the Digital Twin Composer and Industrial Metaverse

A modern factory is one of the most complex systems in the world. Thousands of machines, millions of data points, interconnected production processes, and constantly changing operating conditions must work together with extraordinary precision. Yet the digital information needed to understand and optimize these environments often lives in disconnected engineering tools, simulation systems, and operational platforms. This is the challenge at the heart of the Industrial Metaverse: not simply creating a digital representation of a factory, but bringing its full complexity into one living, intelligent environment.

Siemens Digital Twin Composer makes that vision possible at enterprise scale, empowering organizations to combine industrial AI, simulation, and real-time physical data to explore, validate, and optimize industrial operations virtually, before making decisions in the physical world.

Optimizing ergonomics using Process Simulate Virtual Reality in the Marine industry 

Manufacturing in the marine industry comes with a unique set of challenges. Ships and submarines are highly complex products, where space is limited, equipment is densely integrated, and manufacturing and maintenance activities often need to be performed in confined and difficult-to-access areas. Operators may need to install, assemble, or maintain large and heavy components within these constrained environments. As a result, understanding how people can safely access, handle, position, and work around equipment is an important part of manufacturing planning. There’s where Siemens Process Simulate Human helps to assess manufacturability and maintainability of their equipment.

The Tecnomatix Story: From a Bold Idea to a Global Manufacturing Legacy

Before digital twins, AI factories, and digital manufacturing, a small group of engineers, entrepreneurs, and dreamers had a bold idea. Inspired by flight simulation, they asked: If pilots could train in simulators before taking off, why couldn’t engineers simulate a robot before putting it on the factory floor?

In this blog, discover the Tecnomatix journey through the stories and insights of the people who shaped it, from its pioneering beginnings in 1983 to its lasting influence on digital manufacturing today.” then the picture of the robot, then the next chapter.

AI for discrete event simulation: how Plant Simulation X Copilot accelerates SimTalk Programming 

Plant Simulation Copilot 2606 is an AI-powered assistant designed to make working with Plant Simulation and SimTalk faster, easier, and more reliable. It helps users develop and correct SimTalk code with AI-assisted, syntax-validated suggestions, while providing answers grounded in relevant Plant Simulation documentation rather than generic AI responses.

Discover What’s New in Optimize my plant 2606

Optimize my plant 2606 is here, and it is built for one thing: faster, smarter factory decisions. With enhanced 3D visualization through integration with Digital Twin Composer, stronger API integration, richer factory map context, and improved analytics, Optimize my plant 2606 empowers operations leaders with simulation backed decision making capabilities to reduce risk, improve throughput, and respond with confidence to changing demand, resource constraints, and production priorities. Let us discover what does this release bring.