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Edge Computing: 7.8 billion devices including 100 million gateways and ‘Distributed Edge’ locations by 2030

  • Internet of Things
  • IoT
  • artificial intelligence
  • AI
  • machine learning
  • ML
  • autonomy
  • autonomous
  • robots
  • robotics
  • drones
  • UAVs
  • unmanned aerial vehicles
  • edge
  • Jim Morrish
In this report we examine the adoption of edge capabilities as part of the functioning of edge devices and in a campus context. The focus is on quantitative analysis, examining numbers of devices across verticals and geographies.

Across numerous industrial, enterprise and consumer fields, edge computing is increasingly being adopted to support ‘smarter’ devices that can process diverse data inputs locally, without need for access to cloud computing capabilities. Such devices range from smart building control systems that can operate to some extent independently of cloud oversight, to fully autonomous vehicles. Meanwhile, in an industrial (campus) context, edge capabilities are increasingly being adopted to enhance the performance of alternatively cloud-based solutions by reducing round-trip delays and increasing the resilience of solutions.

The edge market breaks down into three key areas: edge-enabled devices, campus edge, and network edge. In this report we examine the adoption of edge capabilities as part of the functioning of edge devices and in a campus context. The focus is on quantitative analysis, examining numbers of devices across verticals and geographies. For further discussion of the market for edge technologies, including analysis of key market trends, vendor landscape, and analysis of historic deployments, see the Edge Technology Insight Report.

    • Edge Computing

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