Private 5G Evolution Moves From Connectivity To Enterprise Transformation

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Private 5G has been through an interesting journey. A few years ago, it was often presented as the technology that would rapidly transform factories, ports, campuses, mines, airports and many other enterprise environments. The expectation was that once spectrum, devices and vendor solutions became available, deployments would scale quickly.

The reality has been more measured. That does not mean the opportunity has disappeared. It means the market is becoming more practical, more selective and much more focused on outcomes.

This was one of the key messages from Katia Paredes Palacios, Global Sr. Manager IoT & Industry at Telefónica Tech, during Mobile Europe’s recent 'The Briefing', “Transforming enterprises with Private 5G”. Speaking from an operator and integrator perspective, she explained how the private 5G conversation has changed from “connecting devices” to “transforming business”.

That is an important shift. Enterprises are no longer looking at private 5G as a standalone connectivity layer. They are asking what it enables, how it improves operations, whether it supports business-critical processes and how quickly it can deliver return on investment. In other words, the technology itself is no longer enough. The value metric has moved towards business transformation.

This also explains why the private 5G market has not followed some of the more optimistic early forecasts. The number of live references has grown steadily, but the market is not exploding in the way some analysts once expected. For many enterprises, private 5G is still a strategic decision rather than a quick connectivity upgrade. It involves operational change, IT and OT integration, application readiness, device availability, cybersecurity, spectrum, edge computing and long-term support.

Katia highlighted that Telefónica Tech now sees private 5G as part of a broader end-to-end platform. The private network includes the core, radio, edge and applications, but it can also include mission-critical services, positioning, orchestration, AI and integration with other enterprise systems. This reflects where the market is heading. A private network is becoming a platform for industrial digitalisation rather than a replacement for one wireless technology with another.

One of the clearest examples of this maturity is the way the Wi-Fi versus private 5G debate has changed. The earlier messaging often positioned private 5G as being better than Wi-Fi. That was never the most useful way to frame the discussion. The more realistic view is that both technologies can coexist in the same enterprise environment, each serving different needs.

Wi-Fi will continue to be used for general enterprise connectivity, office environments, IT devices and many indoor use cases where it is already well understood. Private 5G becomes more relevant where enterprises need predictable performance, mobility, coverage, security, low latency, data on premises and support for industrial or mission-critical applications. In many real deployments, the answer will not be Wi-Fi or private 5G. It will be Wi-Fi and private 5G, alongside wired Ethernet, public mobile networks, satellite and other connectivity options.

Another important trend is the move towards multivendor deployments. Enterprises are not always asking for a single-vendor private network. They may want one vendor for the core, another for the radio, another for networking or orchestration, and additional partners for edge, devices and applications. Open RAN, open core and cloud-native solutions are also gaining attention, especially where customers want more flexibility and less dependence on a single supplier.

This creates both opportunity and complexity for operators. On the one hand, operators can act as trusted integrators, bringing together the right combination of technologies for a customer’s specific requirements. On the other hand, multivendor integration requires strong orchestration, automation, service assurance and lifecycle management. It is not enough to simply connect the different pieces. The whole solution must work reliably in an operational environment.

Hybrid models are also becoming more important. Some customers may use the public mobile network for certain use cases while using a dedicated private network for others. In some cases, the radio access may use an operator’s public network while the customer has a dedicated core or local breakout on site. In other cases, the full private network, including the core and edge, may be deployed on the customer premises.

This flexibility matters because not every use case has the same requirements. A basic workforce connectivity application does not need the same architecture as a real-time industrial control system. A logistics application may need reliable coverage across a large outdoor area, while a computer vision application may need low latency and GPU-enabled edge computing close to the production line. The right architecture depends on the business problem being solved.

The examples shared by Telefónica Tech showed two areas where private 5G is gaining traction: universities and technical innovation hubs, and manufacturing and automotive environments.

Universities and research centres are using private networks for experimentation, collaboration with industry and the development of local innovation ecosystems. These deployments often include on-premise edge computing and applications such as computer vision, drone control, virtual reality and other low-latency services. Some also experiment with mmWave spectrum and advanced radio configurations.

Manufacturing and automotive environments are more focused on operational transformation. Use cases include AGVs, collaborative robots, augmented reality, quality inspection, production-line optimisation, logistics, predictive maintenance and energy saving. These environments also highlight the importance of resilience, with redundant cores and both indoor and outdoor coverage often being part of the design.

The discussion around OT and IT integration was particularly relevant. Many factories still depend on legacy systems such as PLCs, SCADA and manufacturing execution systems. These are not going to disappear overnight. The move towards wireless industrial connectivity will be gradual. For example, factories may currently use wired sensors for predictive maintenance, measuring vibration in engines, turbines or machines. Over time, a combination of wired and wireless sensors can emerge, with private 5G supporting mobility, flexibility and new data-driven applications.

This is a practical point that is sometimes overlooked. Private 5G does not replace the industrial network on day one. It becomes part of a progressive migration towards more flexible, software-driven and data-rich operations. The success of private 5G will depend on how well it integrates with the systems that enterprises already use.

Edge computing is another area where demand is increasing. Enterprises are asking not only for IoT connectivity but also for computing resources close to where data is generated. In some cases, they know the exact application they want to run, such as computer vision, and may request specific GPU capabilities. In other cases, they want general edge capacity so they can experiment with future applications. For private 5G, this usually means on-premise edge rather than a more distant telco edge, because industrial use cases often need data to remain local and processing to happen close to the operation.

AI is also starting to influence the operational model for private 5G. Katia spoke about AI-enabled orchestration, advanced monitoring, proactive recovery and the ambition for more zero-touch operations. One example is using natural language interfaces or chatbot-style tools to simplify the creation and assignment of network slices. Another is analysing network behaviour patterns to anticipate incidents before they affect the customer.

There is also growing interest in the RAN Intelligent Controller, especially in Open RAN environments, where near-real-time or non-real-time control could help optimise traffic, automate operations and manage energy consumption. This is still an evolving area, but it shows how private 5G is becoming part of a wider automation and intelligence story.

At the same time, AI and deeper IT/OT integration increase the importance of cybersecurity. Industrial environments are becoming more connected, and attacks are increasingly targeting OT systems, not just traditional IT systems. This means private 5G propositions need to include a stronger cybersecurity layer, potentially including firewalls, SD-WAN and other security capabilities. For enterprises, security cannot be an add-on. It has to be designed into the architecture from the beginning.

Looking ahead, several themes stand out. Private network as a service models can help reduce upfront capital expenditure and make adoption easier for new market segments. Tactical private 5G “bubbles” or portable network models are attracting interest for defence, emergency response and temporary operations. 5G-Advanced features such as integrated sensing and communication could support positioning and reduce the need for separate sensor deployments in some environments. RedCap can help connect lower-complexity industrial devices and sensors. Network digital twins could support planning, simulation and optimisation.

The broader message is that private 5G is entering a more mature phase. The hype is giving way to harder questions around business value, integration, operations and security. That is a good thing. It means the conversation is becoming more aligned with enterprise reality.

For operators, the opportunity is no longer just to sell private connectivity. It is to become a trusted partner for industrial transformation, combining private and public networks, Wi-Fi, edge, AI, cybersecurity, devices and applications into a solution that solves real business problems.

For enterprises, the lesson is equally clear. Private 5G should not be treated as a technology project in isolation. It should be linked to measurable operational outcomes, whether that is productivity, automation, safety, quality, resilience, flexibility or energy efficiency.

The next phase of private 5G will not be defined by the number of connected devices alone. It will be defined by how effectively those connections help enterprises transform the way they work.

The talk is embedded below:

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