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AI-enabled IoT video analytics: functions and architecture

  • Artificial Intelligence
  • AI
  • edge computing
  • Internet of Things
  • IoT
  • video
  • analytics
  • computer vision
  • cameras
  • video management system
  • AIoT
  • Matt Hatton
One of the most critical growth areas in both IoT and AI is video analytics. In this report we consider the increasing use of video cameras (often with dedicated edge compute) to deliver AI-enabled applications for surveillance, retail, process automation and numerous other use cases. The report looks at the key technology trends influencing the growing use of AI-based video analytics, including advances in computer vision and hardware evolution. It goes on to identify some of the key market opportunities and use cases, including vertical specific applications and an increasingly horizontal opportunity in video sensing and easy-install programmable cameras. Finally it provides Transforma Insights’ view on the elements and architecture of an AI-based IoT video analytics solution, including discussion of the various elements of the proposition, including the application, analytics platform, cameras, video management systems, edge compute, and network connectivity. This report is a companion to the report ‘AI-enabled IoT video analytics: market landscape’ (September, 2025) which profiles over 140 companies present in the space.

One of the most critical growth areas in both IoT and AI is video analytics. In this report we consider the increasing use of video cameras (often with dedicated edge compute) to deliver AI-enabled applications for surveillance, retail, process automation and numerous other use cases. The report looks at the key technology trends influencing the growing use of AI-based video analytics, including advances in computer vision and hardware evolution. It goes on to identify some of the key market opportunities and use cases, including vertical specific applications and an increasingly horizontal opportunity in video sensing and easy-install programmable cameras. Finally it provides Transforma Insights’ view on the elements and architecture of an AI-based IoT video analytics solution, including discussion of the various elements of the proposition, including the application, analytics platform, cameras, video management systems, edge compute, and network connectivity.

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This report is a companion to the report ‘AI-enabled IoT video analytics: market landscape’ (to be published September, 2025) which profiles over 140 companies present in the space.

  • Avigilon
  • Axis
  • Axxonsoft
  • Bigmate
  • Blue Iris
  • Bosch
  • Digital Barriers
  • Genetec
  • Hikvision
  • Luxriot
  • Microsoft
  • Soracom
  • Artificial Intelligence
  • Hyperconnectivity
  • Internet of Things
  • Edge Computing