01 Growing Adoption of Foundation Models for General-Purpose Robot Intelligence The robot software market is shifting from task-specific programming toward foundation models that can interpret language, vision, and physical environments within a common software architecture. This transition can shorten application-development cycles and improve robot flexibility across manufacturing, logistics, and service environments. Foundation-model development is therefore becoming an important part of robot software market trends. In June 2025, Google DeepMind introduced an on-device version of Gemini Robotics based on its Gemini 2.0 architecture. The model can operate locally on robotic hardware and was adapted to new tasks with as few as 50–100 demonstrations, reducing the data required to develop additional robotic capabilities.
02 Increasing Use of Digital Twins for Robot Simulation and Training Robot developers are increasingly using digital twins and physically accurate simulation environments to develop, test, and validate robotic systems before deploying them in real facilities. Simulation allows developers to generate training data, reproduce rare operating conditions, and evaluate robot behavior without risking expensive equipment or interrupting production. This approach is especially valuable for AI-powered robots that require large quantities of interaction data. Simulation-driven development is expanding the robot software industry toward virtual-first engineering and faster software iteration. In March 2025, NVIDIA introduced Isaac GR00T N1 alongside new simulation frameworks for robotics development. The company also released a GR00T synthetic-data blueprint capable of generating approximately 780,000 synthetic trajectories, equivalent to about 6,500 hours of human demonstration data, in 11 hours.
01 Growing Deployment of Autonomous Mobile Robots in Warehouses Warehouses increasingly require robots that can navigate changing environments, coordinate with workers, prioritize tasks, and reroute around obstacles without fixed infrastructure. As fulfillment operators deploy larger fleets, software becomes increasingly important for coordinating robots rather than merely controlling individual machines. Expansion of warehouse automation is therefore strengthening robot software market demand.
01 Integration With Diverse Industrial Systems Increases Deployment Complexity Robot software must communicate with controllers, sensors, manufacturing systems, enterprise applications, and robots supplied by different manufacturers. This fragmentation is particularly difficult for factories operating mixed fleets of new and legacy robots. Integration complexity can consequently restrain robot software market growth despite growing demand for automation.
01 Expansion of No-Code Programming for Industrial Robots No-code and low-code software creates an opportunity to make robotic automation accessible to manufacturers that lack specialized robotics programmers. Visual interfaces can allow production employees to define tasks, modify trajectories, and redeploy robots without writing extensive code. Easier programming can improve the economics of automation for high-mix, low-volume production where robots need frequent reconfiguration. Simplified deployment can therefore help software providers increase robot software market share among small and medium-sized manufacturers.
01 Ensuring Safe Physical Actions From AI-Controlled Robots As robots gain greater autonomy through AI, software must ensure that generated actions remain safe around people, equipment, and unpredictable physical environments. A language or vision model can produce an apparently reasonable action that violates physical constraints or creates collision risks. Maintaining reliable physical safety remains a major challenge as robot software market size expands toward increasingly autonomous machines.
June 2026 ABB Robotics expanded its robot software portfolio by introducing advanced AI-powered programming and fleet management solutions designed to improve autonomous operation, predictive maintenance, and production efficiency across industrial automation applications.
May 2026 Siemens expanded its industrial software portfolio with enhanced robotic simulation and digital twin capabilities through the Siemens Xcelerator platform. The developments improved virtual commissioning, robot programming, and manufacturing process optimization.
April 2026 Rockwell Automation expanded its industrial automation software by introducing advanced robotic control and orchestration solutions supporting multi-vendor robot integration and intelligent manufacturing environments.
March 2026 FANUC introduced next-generation robot software featuring enhanced artificial intelligence, vision-guided automation, and simplified offline programming capabilities for manufacturing and logistics applications.