Survey Data Hub - Voice of the Enterprise: Internet of Things, Artificial Intelligence 2025
Rich Karpinski is principal analyst and channel lead for the 451 Research Internet of Things and Applied Infrastructure & DevOps channels within S&P Global Market Intelligence. Rich tracks, analyzes and anticipates the pace and direction of IoT adoption, as well as the use of IoT to enable vertical industry transformation. As part of that work, he oversees a quarterly survey of IoT adopters and a twice-annual survey of operations technology (OT) professionals. Before joining 451 Research (acquired by S&P Global Market Intelligence in 2019), Rich was mobile services analyst for Yankee Group and a technology editor for a range of industry publications in both telecom and enterprise IT. Rich’s recent areas of concentration include IoT connectivity and managed platform services, IoT edge computing, IT/OT collaboration, IoT market sizing and data flow analysis, IoT digital maturity analysis, and the adoption of IoT use cases across a variety of sectors. Rich holds holds a Bachelor of Arts degree from the University of Illinois and a Master of Science degree from Syracuse University.
Twenty-eight percent of surveyed enterprises deploying IoT are already mixing AI and IoT in production, with many more in the planning phase. Just 11% have no plans to do so. Optimizing the intersection requires thoughtful data collection and preparation, AI model tuning, and use case application.
Manufacturers face substantial challenges that digital technologies can help alleviate, but internal stakeholders often need more clarity regarding the benefits of digitalization. This financial analysis of a hypothetical project examines the long-term effects on production, costs and key metrics of implementing predictive maintenance-enabled machines.
As we enter 2025, where is IoT? We asked IT professionals that question, and some of the answers were surprising. Take five minutes to read five Voice of the Customer qualitative interview comments and what they mean.
Organizations are actively deploying internet of things projects, with many in mid-to-advanced stages, reflecting a mature approach to technology adoption. Key technologies such as cloud infrastructure, AI and machine learning, and edge computing are recognized for their significant impact on operations.
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