Public 5G networks are impressive. Coverage keeps improving, speeds are genuinely fast, and the latency is far better than 4G. But public 5G shares spectrum and infrastructure across every user in range. For a factory floor where hundreds of sensors, AGVs, and machine controllers need guaranteed connectivity simultaneously, “shared with everyone in the area” isn’t a comfortable foundation.

That’s the gap private 5G networks fill. A campus network running on dedicated spectrum gives you the performance characteristics of 5G with the exclusivity of a private infrastructure. You control the spectrum, the hardware, and the data plane. Nothing from your production network touches the public internet unless you want it to.

How Private 5G Works

A private 5G network uses the same fundamental technology as a public one — the same radio protocols, the same core network functions — but deployed on spectrum you control and hardware you own or lease. Traffic stays on-premise and is routed through your own edge computing infrastructure rather than a telco’s data centres.

In the UK, Ofcom allocates spectrum in the 3.8-4.2 GHz shared access band specifically for private use. Licensing is straightforward: you apply for a local shared access licence for a specific geographic area (your site), pay a modest annual fee, and get exclusive use of that spectrum within your boundary. No competing with public networks for airtime.

The network architecture has a few key components:

Radio Access Network (RAN): the base stations (gNodeBs) that provide radio coverage across your site. Small cells for indoor coverage, macro cells for large outdoor areas.

5G Core: the network brain — handles authentication, session management, policy, and routing. Can run on-premise on your own servers (fully private) or as a cloud-hosted service managed by a vendor (simpler to operate, but traffic traverses the vendor’s infrastructure).

Edge compute: processing at the network edge, close to the devices. Reduced latency for time-critical applications, and data processing stays on-site for security or bandwidth reasons.

The Industrial Use Case

WiFi 6 is good, and for many industrial environments it’s sufficient. Private 5G starts to make more sense when you have specific requirements that WiFi struggles with.

Deterministic latency: URLLC (Ultra-Reliable Low Latency Communications) in 5G delivers sub-millisecond latency with reliability guarantees. That matters for real-time machine control and closed-loop automation where timing variation — jitter — causes production problems. WiFi’s shared medium and contention-based access introduces latency variability that 5G’s scheduled transmission model avoids.

High device density: a large warehouse with thousands of asset trackers, sensors, and mobile workers can hit the device density limits of a WiFi deployment. 5G’s spectral efficiency handles denser device counts more gracefully.

Seamless mobility: automated guided vehicles (AGVs) moving across a large site need consistent connectivity without roaming handoffs causing connection drops. 5G handover between cells is designed for mobile devices in a way WiFi roaming isn’t.

Security isolation: with a private 5G core, your industrial data never leaves the site. A public LTE/5G IoT connection routes through a telco infrastructure. Private 5G keeps the data plane on-premise from device to application.

Ports and terminal operations are a strong use case: cranes, straddle carriers, terminal tractors, and container scanners all need reliable connectivity across a large outdoor area where WiFi access point density would be impractical. Several UK port operators have deployed private 5G for exactly this.

What It Costs

Private 5G hardware costs have dropped significantly since 2022. Open RAN standards have driven competition, and vendors like Ericsson, Nokia, Athonet, and Airspan all offer private network solutions at a range of price points.

A small pilot deployment for a single building might run £150,000-300,000 for hardware, installation, and integration. A full factory or port deployment covering a large outdoor area with high device density can run into the millions.

The Ofcom shared access licence itself is inexpensive — typically a few thousand pounds per year depending on the spectrum amount and location. The cost is almost entirely in the hardware and the systems integration work to connect it to your production systems.

For most small and medium manufacturers, this is still a significant investment that wants a clear ROI justification. The calculation usually involves reduced downtime, improved automation rates, or operational efficiency gains from better connectivity to AGVs and robotics.

Vendors and Deployment Models

Three deployment models are common:

Self-managed: you buy the hardware, run the core yourself, manage the network. Maximum control, highest operational burden. Requires in-house expertise or a managed services contract.

Vendor-managed: a telco or private 5G vendor deploys and operates the network as a managed service. You get the performance benefits without running the infrastructure. Less control, simpler operations.

Neutral host: a third party deploys shared private 5G infrastructure on an industrial estate or campus, tenants buy connectivity as a service. Emerging model for industrial parks where individual tenant deployments would be inefficient.

UK telcos including BT, Vodafone, and Virgin Media O2 all have private 5G offerings, typically sold as managed services. They bring spectrum (via their licensed holdings rather than the Ofcom shared access band), hardware, and ongoing management.

Is It Worth It in 2026?

For large-scale industrial sites with genuine latency-critical or high-density requirements, private 5G is a real option with a sensible business case. For smaller sites, WiFi 6E or hybrid WiFi/private LTE solutions often deliver most of the benefit at a fraction of the cost.

The honest answer is that private 5G deployment in the UK is still primarily a large-enterprise technology. The use cases are validated, the technology is mature, but the economics require significant scale to justify. That will change as hardware costs fall further, but for 2026, lead with the use case requirements and work backwards to the technology rather than the other way around.