This is you Robotics Industry Insider: AI & Automation News podcast.
The robotics and automation world is moving from experimentation to execution, and the shift is visible on factory floors everywhere. Roland Berger’s industrial automation update notes that 2026 is the first year of renewed growth momentum, with the sector poised for up to roughly 9 percent compound annual growth in the years ahead, driven by smarter robots, richer data, and tighter integration between software and machines. Precedence Research estimates the global industrial automation market at around 280 billion dollars in 2026, on track to more than double by 2035, with industrial robots as one of the fastest growing segments.
Physical artificial intelligence is the new watchword. Manufacturing Dive reports that Nvidia’s Jensen Huang called this the ChatGPT moment for physical AI, as robots gain the ability to perceive, reason, and plan in unstructured environments, while Hyundai’s Atlas humanoid is being readied for production roles on the shop floor. At the same time, cost effective artificial intelligence agents and dense sensor networks are spreading through plants to monitor assets, predict failures, and optimize supply chains.
On the industrial front, Rockwell Automation has rolled out artificial intelligence driven predictive maintenance offerings and is building a highly automated flagship factory in Wisconsin to showcase end to end smart manufacturing. Mitsubishi Electric and Fanuc are pushing high speed controllers and new collaborative robots, while warehouses and manufacturers are adopting orchestration layers that let mixed fleets of autonomous mobile robots and arms work together, as highlighted in the latest Robotics and Automation Magazine.
Market data shows Asia Pacific leading industrial automation adoption, with analysts such as Mordor Intelligence and Precedence Research pointing to more than 40 percent share for the region and double digit growth in robots, while Deloitte finds that nearly half of manufacturing executives already use connected sensors to prepare for deeper automation.
For listeners, three practical moves stand out: first, start small but strategic with cobot or inspection pilots that have clear return on investment; second, invest in data infrastructure so robots, sensors, and planning systems share a unified view of operations; third, upskill teams around safety, programming, and human robot collaboration, because the constraint is increasingly talent, not technology.
Looking ahead, expect more interoperable robot fleets, more autonomous planning in logistics and assembly, and more humanoids and mobile manipulators stepping into dull, dirty, and dangerous tasks rather than replacing entire jobs.
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