Gateway-as-a-Service (GaaS)

The way industrial connectivity works is changing fundamentally. What was once a hardware-driven decision is now becoming a service-driven strategy. Rather than purchasing and managing gateways internally, companies are increasingly adopting the Gateway-as-a-Service (GaaS) model, which focuses on reliability, scalability and long-term operational efficiency.

Here at INOVIS Live Automation AG we are witnessing this transition across a range of industries. In sectors such as energy, smart cities, and industrial automation, customers are shifting from standalone hardware solutions to integrated, managed gateway services.

What Gateway-as-a-Service Really Means

Gateway-as-a-Service changes the way industrial gateways are used. Traditionally, gateways were purchased, installed and maintained by internal IT or engineering teams. Now, however, it is part of a fully managed ecosystem.

With GaaS, the gateway is provided as an off-the-shelf component as part of a wider service offering. It is configured, connected, monitored and continuously maintained without requiring in-depth technical involvement from the customer.

This model enables companies to prioritise their applications and data over the infrastructure itself. While invisible in daily operations, the gateway remains critical to performance.

Why Gateways Are at the Center of This Shift

Gateways bridge the gap between operational technology (OT) and IT systems. They connect sensors, programmable logic controllers (PLCs), meters and machines to cloud platforms or control centres. As deployments increase in scale, managing these gateways becomes more complex.

Firmware updates, security patches, connectivity management and troubleshooting must all be handled remotely and reliably. GaaS addresses these challenges by centralising control and outsourcing lifecycle responsibilities.

Real Gateway Platforms Used in GaaS

A successful GaaS deployment starts with robust, industrial-grade hardware.

The IG502 and IG902 Series from InHand Networks provide powerful edge gateways with strong processing capabilities and secure remote management.

Teltonika Networks’ widely used TRB Series includes models such as the TRB141, TRB142, TRB143, TRB145, TRB160, TRB246, TRB256 and TRB501. These gateways are renowned for their compact design and flexibility across various interfaces and connectivity types.

Milesight’s UG6x Series (UG63, UG65 and UG67) is designed for LoRaWAN applications and enables long-range, low-power communication for smart city and environmental use cases.

Unipi Technology’s Unipi Gate 100 and 110 combine gateway functionality with control and automation features, making them ideal for building and energy management applications.

Quick Comparison of Gateway Platforms

To better understand similarities and differences, the following table highlights key characteristics:

Brand	Series / Models	Connectivity	Key Strength	Typical Use Case
InHand Networks	IG502 / IG902	LTE / 5G / Ethernet	Strong edge computing, high performance	Industrial IoT, remote infrastructure
Teltonika Networks	TRB Series (141–501)	LTE, Serial, Ethernet	Compact, flexible, highly reliable	Industrial integration, PLC connectivity
Milesight	UG63 / UG65 / UG67	LoRaWAN	Long-range, low-power communication	Smart cities, environmental monitoring
Unipi Technology	Gate 100 / 110	LTE / Ethernet	Integrated control + gateway	Building automation, energy systems

Although all these devices act as gateways, they have different strengths. Some focus on edge computing, some on low-power wide-area communication and some on integrated control systems. This diversity is precisely why a service-based approach such as GaaS is so valuable – it enables the right device to be selected and managed for each use case, without adding complexity for the customer.

Where GaaS Creates Real Value

The Gateway-as-a-Service model is already delivering measurable benefits across multiple industries.

In smart cities, for example, LoRaWAN gateways such as the Milesight UG series connect air quality, waste management and lighting system sensors. Centralised management ensures stable operation across large urban deployments.

Energy providers also rely on gateways for smart and sub-metering. These systems often operate in distributed environments where remote access and reliability are critical.

In industrial automation, gateways connect machines and control systems. GaaS ensures continuous operation, remote diagnostics and seamless updates.

Utilities and infrastructure providers benefit from the ability to remotely monitor assets such as pumping stations or telecoms sites, where on-site maintenance would be costly and inefficient.

What GaaS Really Delivers

A Gateway-as-a-Service model combines multiple components into a single, streamlined solution:

• Pre-configured industrial gateway hardware
• Integrated connectivity (SIM, eSIM, or LPWAN)
• Remote monitoring and management
• Continuous updates and security maintenance
• SLA-based support and replacement

This reduces complexity and ensures consistent performance across all deployments.

At INOVIS Live Automation AG we design and deliver such solutions tailored to real-world industrial requirements.

From Infrastructure to Service Thinking

The shift towards GaaS reflects a wider transformation in the way technology is adopted. Rather than owning infrastructure, companies are shifting towards consuming services.

Gateways are no longer standalone assets; they form part of a managed service that guarantees connectivity and uptime. This approach reduces internal workload, improves reliability and speeds up deployment.

The Future of Gateway-as-a-Service

As technology evolves, gateways are becoming increasingly intelligent. Edge computing enables local data processing, thereby reducing latency and bandwidth usage, while eSIM technology simplifies global connectivity. Meanwhile, 5G and LPWAN expand the range of potential applications.

Security will also play an increasingly important role, making managed services even more essential.

In the future, gateways will not only connect systems, but also actively process, analyse and act on data at the edge.

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