Annual spending on private 5G networks is projected to surpass $6.6 billion by 2029 as industrial companies expand deployments to support physical AI, automation, workforce connectivity and mission-critical communications, according to research from SNS Telecom & IT.
The company’s “Private 5G Market: 2026–2030” report estimates that investments in private 5G networks across vertical industries will grow at a compound annual growth rate of approximately 34% between 2026 and 2029.
A significant proportion of this growth is expected to come from localized networks deployed across enterprise campuses and industrial facilities. These include increasingly complex multi-site and multinational private 5G installations designed to connect machinery, autonomous vehicles, robots, sensors and operational systems.
At the same time, private 5G adoption is expanding across defense, public safety, rail, utilities and other critical infrastructure environments where reliable and secure communications are essential.
Private 5G Moves Beyond Early-Stage Deployments
Private cellular networks remained relatively limited during the 2G and 3G eras, although GSM-R networks continue to support railway communications while the sector prepares for a transition to the 5G-based Future Railway Mobile Communication System, or FRMCS.
The introduction of private LTE networks during the early 2010s helped establish private cellular connectivity as a specialized segment of the wireless infrastructure market. Private 5G networks, also known as non-public networks, are now beginning to replace LTE across a growing number of industries.
These networks are based on 3GPP-defined 5G specifications and can support more demanding requirements related to throughput, latency, reliability, availability and connection density.
Private 5G adoption is already underway among major companies across manufacturing, energy, transportation, logistics, retail and other sectors. Organizations deploying or testing the technology include Airbus, BASF, BMW, BP, DP World, Ford, Foxconn, Hyundai, Intel, John Deere, LG Electronics, Lufthansa, Nestlé, PETRONAS, Tesla, Toyota, Volkswagen, Walmart and Whirlpool.
Manufacturing and Defense Lead Demand
According to additional commentary provided by SNS Telecom & IT, manufacturing, defense, ports, aviation and healthcare are currently among the leading industries driving private 5G demand.
Railways and utilities are also expected to become two of the largest private 5G markets as FRMCS deployments begin and wide-area utility networks transition from private LTE to standalone 5G implementations.
China remains the most established national private 5G market. However, the United States, United Kingdom, Germany, France, Japan, Taiwan, South Korea, Australia and the United Arab Emirates are experiencing some of the fastest growth.
The expansion reflects a broader push by organizations to improve industrial intelligence, automation and mission-critical communications.
Physical AI Becomes a Major Growth Driver
The rise of physical AI is helping accelerate demand for private 5G connectivity in industrial environments.
Physical AI refers to artificial intelligence systems that interact with and operate within the physical world. Examples include automated guided vehicles, autonomous mobile robots, drones, cranes, forklifts, mining vehicles, quadruped robots and semi-humanoid systems.
These systems depend on reliable connectivity to exchange operational data, coordinate movements and respond to changing conditions in real time.
Private 5G networks can provide wider coverage, deterministic performance, mobility support, scalability and security capabilities that may be difficult to achieve through wired infrastructure or unlicensed wireless technologies such as Wi-Fi.
The technology’s Ultra-Reliable Low-Latency Communications and Massive Machine-Type Communications capabilities also make it suitable for industrial communications between machines, robots, sensors and control systems.
Several companies have reported eliminating connectivity-related stoppages after moving automated guided vehicle and autonomous mobile robot communications from Wi-Fi to private 5G.
Examples cited in the report include Tesla, Ford, Hyundai, Toyota, LG Electronics, NEC Corporation, Foxconn, Whirlpool, Salzgitter, BASF, Midea, Gree and JD Logistics.
Other organizations have used private 5G to connect areas of industrial facilities that were previously left offline because of the cost or complexity of installing wired Ethernet infrastructure.
Automotive engine-parts supplier Fulin Precision, for example, has adopted 100 semi-humanoid robots coordinated through a private 5G-Advanced network. The robots are being used to reduce repetitive box-moving work for employees.
Private 5G Expands in Public-Sector Applications
Private 5G networks are also being deployed for public safety and municipal services.
Las Vegas has used a municipal private 5G network as part of an initiative that contributed to a reported 90% reduction in wrong-way driving incidents.
Mexico City Police, meanwhile, has implemented a standalone private 5G network to support immersive virtual reality training. The deployment reportedly extended training sessions from approximately 25 minutes to 90 minutes while removing the need for officers to carry bulky equipment backpacks.
Mission-critical communications are expected to remain an important source of market growth as defense forces, public safety agencies, railways, utilities and critical infrastructure operators modernize their communications systems.
The 3GPP’s Release 18, 19 and 20 specifications for 5G-Advanced systems include support for lower 5G New Radio channel bandwidths in dedicated spectrum, new operating bands and enhancements for FRMCS and Mission-Critical Push-to-Talk, Video and Data services.
Agentic AI Enters Private 5G Network Management
Artificial intelligence is not only driving the devices connected to private 5G networks. It is also increasingly being used to manage the networks themselves.
SNS Telecom & IT said interest is growing in the use of agentic AI to improve network operations, particularly across complex or multi-site private 5G deployments.
Vendors are developing AI-enabled management and orchestration platforms to simplify network deployment and administration, optimize performance and energy efficiency, automate policy enforcement and reduce downtime.
These capabilities are also extending into cybersecurity and device management, where private networks may need to oversee large numbers of connected industrial systems and endpoints.
One example involves an NVIDIA-powered agentic AI system deployed aboard vessels operated by Norwegian shipping company Color Line. The system supports autonomous private 5G network optimization, including adaptive power control.
In Japan, NTT East has completed tests involving 26 vendors to examine RAN Intelligent Controller functionality defined by the O-RAN Alliance.
The tests explored AI-enabled autonomous network control applications, including transmit-power optimization and interference mitigation for private 5G networks.
As private 5G deployments become larger and more distributed, AI-based automation is expected to play an increasingly important role in helping organizations operate and secure their networks.
The complete findings are available through SNS Telecom & IT’s Private 5G Market: 2026–2030 report.
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