The Internet of Things (IoT) is undergoing a seismic architectural change. Throughout the 2010s and beyond, enterprise IoT was defined by basic telemetry devices- ones that collected raw data and sent it back to the cloud for processing. They were tied to rigid physical SIMS and single-carrier contracts, and they worked perfectly well for early deployments. But the market has evolved. Today, both local processing power and software-defined connectivity have ushered in a new era… the Artificial Intelligence of Things (AIoT).
Resellers and Managed Service Providers (MSPs) must embrace this new world order. That means ripping up the playbooks that have stood the test of time. Today’s enterprise landscape requires a well-balanced mix of on-device intelligence and dynamic network resilience. Recognising these modern demands and having the flexible architecture in place to contend with them will define who thrives in the next era.
Software-defined connectivity
Digital SIM cards (eSIMs and iSIMs) are expected to become the dominant standard for new smartphones by 2030, replacing their physical predecessors. Yet, the shift in form factor is only half the story.
The arrival of the new SGP.32 standard totally changes how cellular IoT functions. Its eSIM IoT Manager (eIM) architecture marks a breakthrough. SMS-based provisioning constraints previously limited older M2M standards. With SGP.32, this is no longer the case. Now, devices can download and manage operator profiles automatically. They can also move between mobile networks based on factors such as cost, coverage, and signal strength.
In addition, Cat-1 BIS is now the default option for mid-bandwidth global deployments. It was brought in to work across standard LTE networks without operator-specific requirements. By using it, IoT companies can easily upgrade legacy 2G and 3G devices to 4G. This delivers instant global coverage without carrier hassles or tricky hardware redesigns.
At the same time, 5G RedCap has been rolling out commercially since mid-2024. The streamlined 5G standard delivers mid-range speed and low latency for IoT devices at a lower cost and power consumption than standard 5G.
So what? What do these developments actually mean for the industry? For me, the answer is simple: connectivity is becoming less dependent on hardware and more driven by software.
Move to the Edge
The enterprise IoT market was valued at $319.36 billion last year and is projected to hit $1.63 trillion in 2035. Enterprise IoT manufacturers are scaling rapidly. They have moved beyond early Edge AI pilots into broader portfolio refreshes. Gone are the days of sending raw telemetry back to the cloud. Modern edge hardware and Edge AI Gateways can think and make decisions on the spot.
This has opened up immediate, tangible operational capabilities. Predictive maintenance, for example, can be completed at scale. Devices can analyse operational patterns locally to anticipate failures before they happen. And data processing can be streamlined. This allows assets to make real-time decisions on-device. Even when cloud connectivity is down, devices can run reliably.
For example, a smart camera on a manufacturing assembly line can detect a defective part on its own, without sending hours of raw footage back to a remote server. The camera can halt the conveyor belt in real time and save money on wasted materials, even if the factory’s Wi-Fi goes down.
Channel priorities
With the global sunset of 2G and 3G networks fast approaching, Channel customers want flexible solutions to integrate with their existing enterprise software. As tech evolves, resellers and MSPs need to update their offerings accordingly.
Beyond physical SIM cards and single-carrier setups, proprietary LPWAN technologies like Sigfox are also in decline.
The focus should now be on Edge AI Gateways, eSIM architectures and also unified Connectivity Management Platforms (CMPs) – all of which are in high demand.
As companies accumulate more smart devices, they need one central dashboard to run everything. Unified CMPs can act as a single mission control. These platforms use modern automation to streamline device lifecycles, reporting, and cost optimisation.
Additionally, cellular LPWAN standards such as NB-IoT and Cat-M are driving the transition away from outdated connectivity models.
These cellular alternatives help deliver the low-power, wide-area footprint LPWAN became known for. But now they also offer better reliability, roaming capabilities and enterprise-grade security.
Choosing your IoT partner
Partnering with the correct connectivity providers will be one of the most important decisions to get right to capitalise on these shifts. To win, choosing to work with the providers that are set up to take on multi-network flexibility and deliver on software integration will be key.
Coverage is still king. Resellers and MSPs need to choose the partners that actively leverage multiple Mobile Network Operators across regions to ensure uptime.
And the best partners will also show that they have clear SGP.32 capabilities, while also having the requisite support in their arsenal for legacy standard predecessors.
Looking beyond network footprint, CMP quality is also a key differentiator. As is standardised network exposure through CAMARA APIs. By getting rid of the friction that comes with custom integrations, enterprises automating and scaling network capabilities with very little uplift will soon become the norm.
Lastly, robust device-level security and supportive channel delivery models should not be overlooked. They are the essential foundation that protects connected assets and gives resellers the means to bring their complex solutions to market.
The road ahead
The path ahead will see connectivity behaving like software. Enterprises do not care if a session runs over a public or private mobile, terrestrial, or satellite network. They simply want their solution to deliver the best performance possible as a single, intelligent system. This is a shift we’ve seen before. In enterprise networks, SD-WAN is a software-defined alternative to the rigid MPLS circuits of the past. And in enterprise voice, we’ve seen API products like CPaaS replace rigid telephony.
AI agents will help propel this shift. Embedded directly into the connectivity layer, they will autonomously manage SIM estates, make sure the best rate plans are being utilised, and spot anomalies in real time.
And the final piece of the puzzle will be full satellite-terrestrial integration. Delivered via eSIM and SGP.32 as a managed profile alongside terrestrial networks, satellite fallback will go a long way to eliminating coverage ‘dead zones’. With greater global coverage even in remote areas, global IoT use cases are going to become more feasible and more reliable. Channel partners can win big by upgrading traditional connectivity from a simple pipe into a fully dynamic, software-driven ecosystem.
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