Edge-to-cloud orchestration will play a major role in the evolution of cloud computing, with emerging technologies such as artificial intelligence (AI), machine learning (ML), robotics, and the Internet of Things (IoT) driving the adoption and deployment of edge-to-cloud architecture.
ABI Research forecasts total edge server spending is projected to hit US$19 billion by 2027 with on-premises enterprise deployment is set to contribute nearly US$10.5 billion, making up 55% of 2027 total revenue.
Carrier deployment is expected to reach US$7 billion, followed by hyperscalers at US$790 million and neutral hosts at US$740 million.
“Expect to see more integration of public, private, and hybrid cloud environments, breaking down data silos. Organisations are realizing the importance of edge servers in enabling edge-based applications to be integrated as part of the overall cloud strategy and, more importantly, the business value that can be derived by having an end-to-end data management strategy surrounding their cloud and edge environments,” explains Yih-Khai Wong, distributed and edge computing senior analyst at ABI Research.
Cloud-native solutions such as containers and APIs remain a critical component of any organisation’s digital strategy. By deploying an edge-to-cloud orchestration platform, organisations can now leverage workloads deployed on the edge with cloud-native applications for a more holistic and integrated view of the business, accelerating better business decisions.
“The emergence of AI will also drive the need for edge-to-cloud orchestration. Current modern edge infrastructure now can process AI inference models at the edge, bypassing the need to transfer data collected at the source to a centralized cloud repository,” Wong concludes.
