Industrial robotics market growth outlook improves as AI lowers automation costs
Industrial robotics is set for stronger long-term expansion as AI reduces the cost and complexity of deploying automation across more manufacturing tasks. That shift could make previously uneconomic uses, especially processes requiring frequent production changes or heavy programming, increasingly viable while redistributing value across the sector.
Highlights
- S&P Global Ratings reports AI reduces automation costs and complexity, improving long-term growth prospects for industrial robotics in dynamic factory settings.
- International Federation of Robotics data shows global industrial robot installations up 11% to 603,000 units in 2025, with operational stock rising 9% to 5.1 million units.
- AI-driven automation may shift benefits from robot manufacturers to users and software providers, as equipment flexibility decreases incremental hardware demand and increases software value capture.
AI-driven automation broadens deployment potential
As reported by S&P Global Ratings, AI is improving the long-term growth prospects for industrial robotics by lowering barriers to adoption and making automation more flexible in factory settings.The report says this is especially relevant for applications where production processes change often or where robots need substantial programming. In those cases, AI can make automation more economical by reducing deployment complexity and improving efficiency.
Data cited from the International Federation of Robotics shows global industrial robot installations rose 11% to a record 603,000 units in 2025. Operational stock increased 9% to about 5.1 million units, underscoring continued expansion in the installed base.
Benefits may shift toward users and software providers
Robot manufacturers may capture less of the upside than their customers, because greater equipment flexibility and higher utilization could partly reduce the need for additional robot purchases.At the same time, software providers may secure a larger share of the economic value created by AI-enabled automation. The broader market outlook remains supported by structural demand drivers including labor shortages, productivity requirements, and manufacturing needs.
In our earlier article on AI agents in large U.S. companies, we noted that many CEOs are seeing early efficiency and growth gains, even though only a small share currently view the technology as truly transformational. The survey also pointed to continued investment in AI infrastructure alongside hiring and retraining plans, highlighting that organizations still need process redesign, stronger data readiness, and engineering talent to scale AI into core workflows.
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