AI & IOT Enabled Operations Survey Report

AI & IOT Enabled Operations Survey Report

Gatepoint Research - Pulse Report

Is your operational data ready for AI at scale?

New research reveals the priorities, barriers and capabilities shaping AI- and IoT-enabled operations.

Manufacturers are investing in AI, IoT and analytics to improve operational efficiency, decision-making and quality. But scaling those initiatives across plants, systems and teams presents a different challenge.

Gatepoint Research surveyed industrial leaders across the United States, Germany and France to understand what's driving their strategies and where progress is being held back. Respondents primarily represent large enterprises, with approximately 97% working for organizations generating at least $1 billion in annual revenue.

What you'll discover

  • Why data context matters: 49% prioritize improving data context and usability.
  • What's limiting scale: 46% cite integration and deployment complexity, while 45% identify data quality, context and standardization issues.
  • What businesses want from AI and IoT: 55% are targeting operational efficiency, 52% want faster data-driven decisions, and 44% prioritize quality and yield optimization.
  • Which capabilities matter: real-time analytics and visualization, governance and security, cross-site scalability and OT/IT/cloud integration rank among the most selected capabilities.
AI and IoT Operations Survey Report

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See how industrial leaders are approaching data readiness, AI, IoT and enterprise scale

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