Edge computing is viewed by telecom operator executives as connected with their 5G plans, according to a survey by Heavy Reading. Enterprise customers overwhelmingly link edge computing with AI applications. None of that should be surprising.
For mobile service providers, edge computing potentially represents an incremental new revenue source, an ability to earn revenue from supplying third parties with edge computing and storage.
For enterprises, edge computing is a way to support compute-intensive, immersive applications such as virtual reality, augmented reality or other ultra-low-latency use cases, including industrial or factory automation.
For telecom operators, the top use cases for edge computing are 5G (selected by 67 percent of telecom respondents), IoT (selected by 63 percent), ultra-reliable, ultra-low latency applications (selected by 55 percent), and high-performance content delivery (selected by 47 percent).
For enterprises, the top drivers are AI applications (selected by 61 percent of enterprise respondents), ultra-reliable, ultra-low latency applications (selected by 57 percent), and IoT (selected by 48 percent).
It likely goes without saying that enterprises more frequently view edge computing as something that happens on premises, using enterprise-owned facilities, not services purchased from an off-site edge computing supplier.
For connectivity providers, there is no natural role if the edge computing is done on edge devices directly, or on the premises, using enterprise-owned gear. Connectivity providers might play a role when computing is somewhere off the premises, but within the metro area, within several miles of locations where edge devices must be supported.
That also corresponds roughly to the location of macrocell transmission sites, which means tower network operators might also have a role to play.
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