Telematics used to be a box you bolted onto a truck to see where it was. GPS dot on a map, maybe a speed reading, maybe an alert if someone left a geofence. That was the whole product for about fifteen years.
What happened since is less a technology story and more a business model story. The hardware shrank, the data exploded, and the question shifted from “where is the truck?” to “what is the truck about to do?” That second question is where the money is now, and it’s reshaping how the entire automotive industry thinks about what a vehicle should be after it leaves the factory.
The embedded shift that changed everything
The aftermarket telematics device, the plug-in OBD-II dongle or the hardwired tracker, was the industry standard for two decades. You bought a truck, then you paid someone to install a tracking device in it. That install took four to six hours per vehicle. For a 50-truck fleet, that’s a full week of downtime before you get a single data point.
That model is dying. According to Berg Insights, about 83% of vehicles manufactured in 2024 had embedded telematics built in at the factory. Motorq puts the number even higher for U.S.-manufactured vehicles, estimating 96% ship with native connectivity. By 2026, the EU’s updated digital tachograph mandate will ensure virtually all commercial vehicles carry advanced embedded telematics as a regulatory requirement.
This matters because embedded systems don’t just track location. They sit on the vehicle’s CAN bus and read directly from factory sensors. That means tire pressure, oil life percentage, coolant temperature, transmission behavior, battery state-of-charge, DTC codes, all flowing out of the vehicle in real time without any aftermarket hardware touching it.
At the Fleet Forward 2025 conference, a Stellantis executive described activating 50,000 vehicles in two days through their embedded platform. Doing that with aftermarket hardware would have taken months. That’s the scale difference.
But here’s what nobody in the embedded camp likes to acknowledge: most commercial fleets are mixed. Different manufacturers, different model years, different levels of connectivity. A fleet running Ford, GM, and Stellantis trucks needs three separate OEM integrations, three different data formats, three dashboards. The data can’t be compared without custom normalization work. For any fleet older than three years, you’re guaranteed to have trucks that still need aftermarket devices alongside trucks with full factory connectivity.
The real opportunity isn’t in choosing one side or the other. It’s in platforms that can ingest data from both embedded OEM systems and aftermarket hardware, normalize it, and present a single operational view regardless of what’s generating the signal.
From tracking to prediction, and why that distinction matters
This is where the conversation around telematics takes a different turn, and where the automotive industry is still catching up to what the data actually makes possible.
Traditional telematics tells you what happened. The truck idled for 47 minutes at the depot. The driver braked hard on Route 9. Fuel consumption was 6.2 MPG last week. All useful. All backward-looking.
The next generation of telematics is about what’s going to happen. And the difference isn’t just a software upgrade. It requires a fundamentally different relationship with vehicle data.
When you monitor a truck’s engine temperature, fuel burn rate, and component behavior continuously over weeks and months, you build a baseline of how that specific vehicle performs under normal conditions. Not how trucks in general perform. How this truck performs on these routes with these loads in this climate. When behavior starts drifting from that baseline, something subtle like a cooling system running 4 degrees hotter than its own historical average, you’re looking at a problem that won’t trigger a fault code for another three weeks.
This is the core logic behind digital twin technology applied to fleet vehicles. You build a virtual replica of each truck’s normal operating behavior, then you watch for deviations. One fleet of 1,400 municipal vehicles, including 90 refuse trucks from three different OEMs, ran a pilot using this approach and detected faults in 30% of their trucks before any diagnostic trouble codes appeared. The municipality estimated savings of around $500 per vehicle per month from avoided breakdowns and improved fuel efficiency.
That’s not a telematics feature. That’s a different category of product built on top of telematics data. And it’s where the industry is heading whether OEMs are ready for it or not.
The EV problem that nobody has solved yet
Electric vehicles add a layer of complexity to telematics that the industry is still fumbling through. Range prediction for EVs is, frankly, terrible right now. The battery discharge rate of two identical electric trucks on the same route can vary wildly depending on driving style, ambient temperature, load weight, HVAC usage, and battery degradation state.
Most onboard range estimators are unreliable enough that fleet operators end up charging proactively and unnecessarily, pulling vehicles off-route for charging sessions they didn’t need. That disrupts schedules, increases downtime, and eats into the cost savings EVs were supposed to deliver.
The telematics systems that will win the EV fleet segment are the ones that can accurately predict distance-to-empty and battery state-of-charge under real operating conditions, not lab conditions. That means accounting for driver behavior, route elevation, weather, payload, and historical battery performance for that specific vehicle. This is another area where GPS tracking combined with AI-driven analytics changes the equation, because accurate range prediction requires the same kind of continuous, truck-level behavioral modeling that powers predictive maintenance.
Fleet operators I’ve spoken with are already ranking telematics providers partly on EV readiness, and most are finding gaps. The legacy GPS-and-idle-time platforms weren’t built for battery chemistry.
Insurance telematics is about to reshape fleet economics
One trend that’s accelerating faster than most fleet managers realize: insurers are now tying premiums directly to telematics data. Usage-based insurance has been around for a while in consumer auto, but it’s hitting commercial fleets hard in 2025-2026.
The numbers are compelling. Insurers are granting up to 20% premium relief when fleets share video and driving behavior data. Fleets with dash cams and telematics-verified safety programs saw claims frequency drop 22% and accident severity decline 25% in recent benchmarks. For a fleet spending $200,000 annually on insurance, a 20% reduction is $40,000. That alone pays for most telematics platforms with money left over.
But the implication goes deeper. Insurers are starting to require telematics as a condition of coverage for high-risk operations, not just incentivize it. That turns telematics from an efficiency tool into a compliance cost. Fleets that have already invested in comprehensive data collection and driver behavior monitoring are positioned well. Fleets that haven’t are about to face higher premiums and fewer coverage options.
What’s actually going to happen in the next five years
The market size forecasts are all over the place. Depending on who you ask, the global automotive telematics market is worth somewhere between $50 billion and $130 billion in 2025, growing to $200-670 billion by the early 2030s. The exact number doesn’t matter much. The direction is clear and the growth rate is aggressive.
What matters more is the structural shift underneath the numbers:
OEM embedded connectivity will be standard on virtually all new commercial vehicles by 2027. The aftermarket hardware business won’t disappear, but it’ll shrink to covering legacy vehicles and specialized use cases that OEM systems don’t handle, like trailer tracking or specialized equipment monitoring.
The value in telematics is migrating from hardware to software, and specifically to the analytics layer. Knowing where a truck is will be free. Knowing when that truck is about to need a brake service will be worth paying for. The platforms that can turn raw vehicle signals into maintenance forecasts, fuel optimization recommendations, and driver safety scores will capture most of the market value.
Data interoperability will become the defining competitive issue. Fleets don’t want five dashboards for five vehicle brands. The platform that normalizes data across OEMs, aftermarket devices, and even non-vehicle assets like trailers and generators, will become the operating system of commercial fleet management.
And the line between “automotive” and “fleet tech” will keep blurring. Car manufacturers are building software divisions and launching data-as-a-service products. Fleet management companies are integrating directly with OEM APIs. They’re converging on the same product from different directions.
For anyone building a fleet operation or evaluating telematics providers right now, the question isn’t whether you need telematics. It’s whether the system you’re buying today can handle what telematics will need to do in 2028. If it can’t ingest mixed data sources, predict maintenance needs, support EVs, and export data cleanly to your insurer, you’ll be replacing it in three years.
And nobody wants to go through another fleet-wide hardware installation.
