The edge computing market spans a spectrum of use cases that meet various customer needs, including sensitivity for latency and analytics. According to TBR’s 1Q20 Enterprise Edge Compute Market Landscape, while the edge is not new, its use for low-latency-dependent applications and close-to-the-data computing has increased and will continue to do so to support connected devices, emerging workloads such as IoT, and faster time-to-insight. For example, in-store robots can interact with customers to create a customized shopping experience on the floor and use data around purchases to help restock inventory.
TBR predicts a rapid increase in enterprise edge spend through 2024. The dynamics within the webscale space include a desire by managed service providers to run their offerings on bare metal hardware and ODMs with the ability to provide this bare metal hardware at lower price points than OEM peers. These dynamics will be a key driver behind the upswing in enterprise edge revenue through 2024 as webscales capture opportunities typically fulfilled by OEMs.
Nearly all webscales and some telcos utilize ODM hardware, and most enterprises are expected to use OEM gear for their edge environments
ODMs have perhaps the largest opportunity at the enterprise edge. White-box hardware is of rising interest to major service providers, and the low-margin, high-volume play that ODMs embrace is an excellent fit for the enterprise edge market.
TBR’s Enterprise Edge Compute Market Landscape, which is global in scope, details edge compute trends among vendors and their customers. Vendor coverage includes Amazon Web Services, Atos, Cisco, Dell Technologies, Digital Realty, Equinix, Hewlett Packard Enterprise, Huawei, IBM, Lenovo and Microsoft. This research includes current-year market sizing and a five-year forecast. Interested in hearing more of TBR’s analysis on the emerging and rapidly evolving opportunity in the enterprise edge market? Check out the replay of our recent webinar, The emerging and evolving landscape of enterprise edge computing.