A few years ago, having a car connected through a SIM card was a feature typically associated with high-end vehicles. Today, sensors and connectivity are part of a new generation of vehicles capable of transmitting information about routes, mileage, temperature, engine performance, and potential failures.
The same trend is unfolding across very different industries: utilities are adopting telemetry and remote metering; logistics companies are monitoring fleets and containers; agricultural producers are using sensors to assess the condition of crops and stored grain; and industrial facilities are beginning to capture real-time data from machinery and production processes.
The evolution of IoT is moving organizations away from isolated projects and toward permanent, distributed infrastructures. And as these infrastructures grow, managing them as a collection of individual devices becomes increasingly impractical.
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In this context, the challenge is no longer simply getting a device connected. Managing IoT devices, data, and security is becoming more complex than connectivity itself.
The scale of the ecosystem helps explain why. According to IoT Analytics, there were 21.1 billion connected IoT devices worldwide by the end of 2025, up 13% year over year. Enterprise IoT accounted for 45% of those connections.
When an organization moves from a handful of devices to hundreds or thousands distributed across factories, vehicles, branches, farms, or remote infrastructure, ensuring connectivity is no longer enough. The organization must manage an entire ecosystem.
Every device has an IoT lifecycle: it must be onboarded to the network, configured, monitored, updated, have its credentials and certificates renewed, be checked for anomalies, and eventually be replaced or decommissioned. Managing these processes manually may be feasible for a small number of devices. At the scale of thousands, it is no longer viable.
Beyond maintaining connectivity, organizations must also ensure the quality of the telemetry generated by thousands of devices so that the resulting data can actually support operations.
The expansion of 4G and 5G networks, together with remote eSIM provisioning, is reshaping how distributed devices are managed.
A company deploying devices across multiple regions may require automatic carrier switching to prevent a loss of coverage from taking a critical asset offline. In supported devices, remote eSIM provisioning enables organizations to manage connectivity profiles remotely, while satellite connectivity is beginning to complement terrestrial networks in operations that require coverage in remote locations.
But the key question goes beyond how a device connects: What happens when thousands of devices require an update, when a device begins transmitting anomalous data, or when a failed update takes devices involved in a critical operation offline?
At industrial scale, an isolated failure may be an incident. A failure replicated across thousands of devices, however, can become an operational problem of an entirely different magnitude.
Security adds another layer of complexity. Every connected device expands an organization’s digital attack surface and creates additional potential points of vulnerability. In industrial environments and critical infrastructure, the risk extends beyond data theft, as a vulnerability can directly affect operational continuity.
In Deloitte’s 2025 Smart Manufacturing and Operations Survey, 65% of surveyed manufacturers ranked operational risk among their top two concerns related to smart manufacturing initiatives, while 55% identified unauthorized access to OT environments as a high-level concern.
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This is why scaling IoT requires moving beyond a connectivity-centric approach. Assets must be manageable, updatable, and secure throughout their entire lifecycle, supported by a scalable connectivity infrastructure capable of evolving alongside operational requirements.
Organizations must also recognize that telemetry is not the end goal. The real value emerges when information captured by thousands of devices can be translated into decisions, automation, and measurable operational improvements.
The next leap in industrial IoT is not simply about connecting more things. It is about being able to operate, govern, and protect everything that is already connected.
