TECH & AI
The data centre industry is witnessing its most significant architectural shift in decades. Edge computing has exploded into a US $ 232bn global market that’ s reshaping how enterprises process data, deploy AI and deliver real-time services.
From factories where AI-powered cameras spot defects in milliseconds, to streets of cities where 18,000 sensors orchestrate traffic flows, edge computing is moving critical workloads out of distant cloud data centres and into the physical world where data is created and decisions must be made instantly.
The infrastructure imperative driving change The promise is compelling: submillisecond response times, 35 % bandwidth cost reductions, and the ability to process data locally whilst maintaining privacy and compliance. But the reality driving adoption is more fundamental – traditional cloud architectures simply can’ t keep pace with the demands of modern digital operations.
Industry conceptualisations of“ the edge” vary widely depending on the specific contexts of its use, but the consistent takeaway is that it needs to be as close to operations as possible.
IDC has projected edge spending will hit US $ 378bn by 2028, with manufacturing alone accounting for US $ 33.6 billion in 2024.
The architectural implications are profound.“ Cloud migration trends like AI and edge computing will continue
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