EDGE COMPUTING
CREDIT: EATON
The Power Xpert quality( PXQ) event analysis system
approach for building data centres with integrated onsite power generation. This collaboration reflects the industry’ s recognition that AI workloads require rethinking traditional approaches to power delivery and backup systems.
The convergence of edge analytics, intelligent power distribution and onsite generation represents a broad response to AI’ s infrastructure demands.
Rather than addressing power, cooling and compute in isolation, leading providers are developing integrated solutions that span the entire stack from utility connection through to chip-level power delivery. This integrated approach proves particularly valuable when managing AI power bursts. By combining edge analytics for real-time detection with intelligent distribution systems and robust backup power, operators can respond to SSO events with minimal disruption to ongoing workloads.
Adapting to market dynamics The edge data centre market is experiencing remarkable expansion driven by these infrastructure requirements.
According to research from MarketsandMarkets in 2025, the global edge data centre market is projected to grow from US $ 50.86bn in 2025 to US $ 109.2bn by 2030, a compound annual growth rate of 16.5 %.
This growth is underpinned by rising demand for ultra-low-latency performance, real-time analytics and localised data processing across multiple industry verticals. Edge data centres enable organisations to manage the exponential increase in data generated by Internet of Things devices, 5G networks and advanced AI applications.
The infrastructure segment is positioned to capture the largest market share, driven by demand for resilient, scalable and high-performance digital infrastructure. This encompasses servers, storage systems, networking equipment, power generation and backup solutions, cooling technologies and security mechanisms.
With accelerated adoption of IoT, 5G networks and real-time analytics, organisations require low-latency, high-efficiency infrastructure to manage complex workloads.
Edge data centres demand modular and flexible infrastructure designs to accommodate evolving technological requirements, ensuring operational continuity and seamless data processing.
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