As of 5 August 2026, this article identifies 20 companies listed on the Tokyo Stock Exchange Prime, Standard or Growth markets that are involved in digital twins or Sim2Real, and organizes examples and business models connected to robot training and AI learning in virtual space.
This article presents information as of 5 August 2026 on 20 companies that provide digital twin platforms for recreating the real world in virtual space, with the aim of avoiding collisions and control errors in real-world robot development. The companies covered are listed on one of the Tokyo Stock Exchange Prime, Standard or Growth markets and have identifiable links to Sim2Real through their product, service or technology pages. The selection criteria are threefold: a clear connection to physics simulation, AI learning, robot movements or factory-process validation in virtual space; a specific form of delivery as a product or service; and an explained path leading to projects, orders or maintenance.
This article highlights 5 companies that directly train robots in virtual space. The first 5 companies operate relatively close to the theme, in areas including learning environments for AI robots, physics simulation and connections to physical machines, although the availability of new products and the certainty of their contribution to earnings may present challenges.
シリコンスタジオ officially positions a Sim2Real physical AI simulation platform and uses Omniverse, Unity and Unreal Engine to reproduce robot behavior, virtual sensors, gravity, friction and failure scenarios. Implementation examples connecting ROS and virtual validation results to control of physical machines have been presented, while visibility into future orders, contract periods and additional orders has been identified as an issue.
As an NVIDIA-certified partner, ジーデップ・アドバンス develops ROBODEV, a platform centered on GPU workstations. Its distinctive feature is the provision of setup services and hands-on training to facilitate the introduction of tools such as Isaac Sim. Confirming trends in unit sales, delivery examples, gross margins and upgrade frequency has been identified as a task for the future.