5G Drives Data Centre Evolution to Edge and Core

The arrival of fifth-generation (5G) wireless technology is often framed around its speed and potential to connect everything from smartphones to smart cities. For the data centre sector, however, its importance is more profound. 5G acts as a catalyst for an architectural shift away from a centralised model towards a distributed, intelligent and application-aware infrastructure.

Ultra-low latency and massive connectivity are forging a new relationship between the network and the data centre, reshaping digital services from the core to the fast-emerging edge.

The great decentralisation

For years, hyperscale facilities dominated the industry, leveraging economies of scale to deliver cloud computing.

5G does not replace the model but augments it with a critical new tier of infrastructure, edge computing.

Latency makes it inevitable. At the same time, 4G round-trip times are typically 50–100 milliseconds and 5G targets sub-millisecond performance. Physics dictates that data cannot travel to a remote core facility and back within that timeframe.

To unlock applications such as autonomous vehicles, cloud gaming and industrial automation, computation must move closer to the point of data generation.

The requirement drives edge computing. 5G provides the reliable last-mile connection, while edge data centres handle real-time processing and send only essential data back to the core.

The relationship is cyclical: widespread 5G rollout drives demand for edge sites and edge capability allows mobile network operators (MNOs) to monetise their 5G investments.

From hyperscale to a tiered topology

The result is a decentralised, multi-tiered ecosystem. Large core data centres remain essential for non-latency-sensitive workloads such as AI training and long-term data storage.

Regional facilities and micro data centres – including modular and single-rack deployments – form a new edge tier designed for real-time ingestion, rapid AI inference and local decision-making.

Market forecasts reflect the scale of change, projecting the edge data centre market to exceed US$109 billion by 2034.

Andrew Power, President & CEO of Digital Realty, highlighted the compounding nature of demand:

“It’s like a layer cake of incremental demand that started years ago and keeps going.

"We’re still seeing a rollout of 5G networks and then there will be 6G. Cloud computing is still scaling and we’re just beginning to see the tip of the iceberg of AI.”

Programmability and network slicing

5G influences data centre network design. One of its most significant innovations is network slicing, enabling a single physical network to be partitioned into multiple isolated virtual networks.

Each slice can deliver specific characteristics, such as guaranteed latency or bandwidth, allowing operators to support use cases ranging from factory robotics to smart city utilities.

For data centres, it means a shift towards programmable, highly automated fabrics that can dynamically provision connectivity aligned with 5G slices.

Synchronisation as a core requirement

Another defining challenge is timing. Advanced 5G techniques require synchronisation accuracy within 130 nanoseconds, far more stringent than traditional enterprise requirements.

As virtualised Radio Access Network (vRAN) functions migrate to edge sites, data centres effectively become part of the radio system itself. Infrastructure must therefore support precise protocols such as IEEE 1588 Precision Time Protocol (PTP).

Justin Dustzadeh, CTO at Equinix, emphasised the importance of collaborative testing:

“As companies develop new 5G technologies and services, they need a real-world environment to test and bring their concepts to life.

With Equinix’s rich ecosystem of service providers, partners and clouds, the 5G and Edge Technology Development Center is an ideal place to fully test their concepts in a real way, enabling them to bring new capabilities to market, accelerate adoption and deliver new revenue streams faster.”

Inside the data hall: Operational transformation

The influence of 5G extends inside the facility. Private 5G networks provide an alternative to Wi-Fi, enabling dense deployments of wireless sensors to monitor power, cooling and airflow in real time. AI-driven platforms can then use these insights to predict and prevent equipment failures.

Ultra-reliable low-latency communications support robotic systems and Automated Guided Vehicles, while augmented reality (AR) enhances “remote hands” services. An on-site engineer wearing AR glasses can receive live guidance from a remote expert, reducing downtime and minimising errors.

Challenges and strategic responses

The shift towards distributed, software-defined infrastructure brings complexity. Security is a central concern, with the expanded attack surface created by millions of connected devices. Industry leaders are increasingly adopting Zero Trust principles, real-time AI-driven threat detection and layered defences.

Energy demand is another challenge. While 5G is more efficient per bit than 4G, the surge in traffic and proliferation of edge sites increases overall consumption.

Innovations in liquid cooling, renewable energy integration and AI-based power management will be critical.

Fotis Karonis, former Group Leader of 5G and Edge Computing at Capgemini, stressed the iterative nature of adoption:

“Industrial 5G is a key catalyst in unlocking the potential of intelligent industry and accelerating data-driven digital transformation.

"An element of iteration is required, but organisations should seek to leverage the 5G ecosystem to jointly test solutions and progress with full-scale 5G adoption, fine-tuning the approach as the ecosystem evolves.”