Cisco today announced the release of its latest annual industrial research report, the State of Industrial AI Report, examining how critical infrastructure like factories, utilities, and transportation systems are accelerating their direct deployments of AI. The report provides a data-driven view into how industrial organizations are adopting AI, the challenges they face as AI moves into live operations, and the opportunities created as AI becomes embedded in physical systems, infrastructure, and workflows.
Quick Intel
The double-blind global study surveyed more than 1,000 operational technology (OT) decision-makers across 19 countries and 21 industrial sectors. The findings show that AI is now delivering measurable operational benefits in use cases such as process automation, automated quality inspection, predictive maintenance, logistics, and energy forecasting. However, many organizations are increasingly constrained by readiness gaps in networking infrastructure, cybersecurity, and IT/OT operating models as AI shifts into real-time, production-grade use in physical environments.
"Industrial AI is moving from experimentation into production, where AI systems sense, reason, and act in the real world," said Vikas Butaney, SVP/GM of Secure Routing and Industrial IoT at Cisco. "At this stage, success is no longer determined by models alone, but by whether networks, security, and teams are ready to support AI at the edge, in motion, and at scale. The research shows that organizations confident in scaling AI are those treating infrastructure, cybersecurity, and IT/OT collaboration as foundational, not optional."
Key Takeaways from the State of Industrial AI Report
Infrastructure readiness is emerging as a primary determinant of scale. As AI becomes embedded in machines, sensors, vision systems, and autonomous operations, organizations face rising demands for reliable connectivity, wireless mobility, predictable latency, edge compute, and power.
Cybersecurity is shaping both the pace and confidence of AI adoption. As AI expands connectivity and data flows across industrial environments, security remains the top barrier to scale. At the same time, organizations increasingly view AI as part of the solution.
IT/OT collaboration is proving critical to operationalizing AI at scale. Organizations with closer collaboration between IT and operational teams report greater confidence in expanding AI, more stable networks, and stronger emphasis on cybersecurity.
The State of Industrial AI Report is based on data from a global survey of more than 1,000 operational technology decision-makers, conducted by Cisco in association with Sapio Research. Survey respondents were from 19 countries and across 21 industry sectors, representing industries including manufacturing, transportation/logistics, energy/utilities and more. The report aggregates findings from decision-makers at companies with annual revenues of more than $100 million.
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