Automotive heavyweights like Mercedes-Benz are relying on dedicated mobile private networks to drive advanced factory automation.
Mercedes-Benz operates heavily automated production facilities demanding zero-latency communication between robotics, human operators, and supply chain logistics platforms. Standard public 5G infrastructure introduces unpredictable latency spikes, making them unsuitable for such applications.
Dedicated mobile private networks (MPNs) solve the latency problem by providing the isolated and tightly-managed bandwidth required to orchestrate thousands of mobile components in real time.
Telcos are currently facing an identity problem. Industry insiders observe that network operators are largely struggling to position themselves within this newly-established industrial ecosystem. Sebastian Barros, a prominent telecoms voice, recently stated that telcos can no longer view themselves purely as connectivity providers. Selling raw bandwidth is a race to the bottom.
Enterprise CIOs want integrated solutions, not just an empty data pipe. Operators must weave their infrastructure directly into the manufacturing process. This deep integration requires entirely new skillsets.
Automated vehicles expose legacy limitations
Traditional manufacturing environments relied on fixed wiring for heavy machinery. Wires guarantee connection stability. They also guarantee complete inflexibility.
Reconfiguring a wired production line to accommodate a new car model takes months. Wireless architecture removes that physical constraint. Automated guided vehicles (AGVs) carry chassis components across vast factory floors without following static tracks.
These vehicles require constant communication with a central orchestration system to avoid collisions and optimise routing. Mastering this type of mobile, physical AI is a massive priority for automotive leaders, and will be explored in-depth during the physical AI track at the AI & Big Data Expo North America.
Dropped packets in this environment can cause physical crashes. When an AGV loses connection for even a fraction of a second, safety protocols should engage immediately. However, the halt to production could cost the business thousands.
General-purpose wireless networks suffer from jitter and interference when deployed in metal-heavy environments like car factories. Dedicated spectrum allocation within an MPN guarantees the AGV always maintains its connection.
Flint International recently explained how Mercedes-Benz pushes the concept of connected manufacturing into active production. They treat the network as a machine tool. If the network goes down, the factory stops. IT departments used to manage communications infrastructure separately from operational technology (OT) teams handling the physical machinery. MPNs force these two traditionally isolated departments into a mandatory marriage.
Hyperscalers enter the industrial fray
Telecommunications operators do not own this market outright. Amazon Web Services and Microsoft Azure actively deploy private edge zones directly inside manufacturing plants. They bundle 5G core network software with their existing cloud compute hardware.
Enterprise IT teams already understand AWS management consoles. Forcing them to learn a proprietary Ericsson dashboard creates friction. Hyperscalers recognise this familiarity advantage.
Manufacturers benefit heavily from this competition. Hardware prices for private 5G base stations drop steadily as new entrants flood the sector. IT directors can purchase pre-configured private network kits online, complete with SIM cards and indoor antennas. These packaged solutions bypass traditional telco sales channels entirely. Operations teams unpack the hardware, mount the radios, and activate the spectrum license in an afternoon.
This commoditisation terrifies legacy operators. Barros highlighted this in his industry commentary—if a telco simply provides the SIM cards and the raw radio waves, they become a replaceable utility. They earn fractions of a penny on the data transmission while Amazon or Microsoft captures the high-margin software orchestration revenue.
The edge compute requirement
Edge computing hardware sits physically alongside the private network antennas. This local processing allows quality assurance algorithms to analyse high-definition video feeds of car panels in real-time. If a robotic arm applies paint unevenly, the local system detects the error instantly and issues an immediate correction command to the robotic arm.
Cloud latency ruins this feedback loop. By the time the video frame travels to a remote data centre, processes through a machine learning model, and returns a command, the car chassis has already progressed down the line. The error passes uncorrected. Localised private networks paired with edge compute eliminate that round-trip delay.
Keeping sensitive manufacturing data within the physical walls of the factory also reduces exposure to external threat actors. Public cloud environments face constant probing. A disconnected, air-gapped private network provides an inherent defensive barrier. Operational data never traverses the public internet.
Rewriting the SLA
Procurement negotiations for MPNs bear little resemblance to standard IT contracts. Five nines of reliability (99.999% uptime) translates to roughly five minutes of downtime per year. Factory operators often demand six nines. They negotiate penalties based on individual missed production targets rather than simple network availability.
Nokia, Ericsson, and Huawei compete fiercely for these lucrative industrial contracts. They market specialised industrial-grade antennas designed to withstand extreme temperatures, vibrations, and electromagnetic interference.
Companies deploying these systems must secure local spectrum licenses. Governments worldwide allocate specific radio frequencies for industrial use. The UK regulator Ofcom, for example, provides shared access licenses specifically for this purpose. Enterprises pay a modest fee to control a localised slice of spectrum, ensuring their robotic welders do not compete for bandwidth with employee smartphones.
This spectrum independence represents actual control. Enterprise IT leaders no longer beg mobile operators to improve coverage in rural manufacturing zones; they build the coverage themselves and own the infrastructure.
Scaling this model presents the next massive engineering challenge. Operating a private network in one flagship facility is hard. Orchestrating identical network policies across fifty factories globally requires management tools that barely exist today.
The automotive sector is writing the playbook as it builds the cars. Will telcos adapt fast enough to capture the value of this industrial automation wave, or will aggressive hyperscalers bypass them entirely to sell private networks directly to the manufacturers?
See also: Microsoft brings sovereign edge AI to Industry 4.0 private networks
Want to learn more about the IoT from industry leaders? Check out IoT Tech Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and is co-located with other leading technology events including AI & Big Data Expo and the Cyber Security Expo. Click here for more information.
Telecoms is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.
