Executive summary

IoT fleet management combines in-vehicle sensors, connectivity, edge gateways, cloud platforms and analytics to provide real-time visibility, operational control, safety monitoring and decision automation for vehicle fleets. Over the next 5–10 years the market is expected to grow rapidly as e-commerce, electrification, stricter safety/emissions rules and demand for cost efficiencies push fleets to adopt connected solutions. Solutions are evolving from simple location/telemetry to advanced video telematics, predictive maintenance, EV charge orchestration and platform ecosystems that tie into supply-chain and insurance workflows.

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Market size & forecast (approximate, indicative)

• Estimated market size (global, hardware + software + services): ~USD 6–12 billion (current baseline year estimate).

• Forecast path: continued double-digit growth driven by recurring SaaS subscriptions, managed services and rising value of analytics. Representative compound annual growth rate (CAGR) expectations: about 12%–20% over the next 5–7 years.

• By the end of the decade, the market could reach a low-to-mid two-digit billion USD range depending on EV penetration and adoption velocity of advanced telematics and video services.

Market definition & scope

This report treats IoT fleet management as the full stack required to operate and optimize mobile assets:

• Hardware: GPS/OBD/ELD devices, dash cams, sensors (temperature, load, tire pressure), gateways.

• Connectivity: cellular (M2M), LPWAN (LTE-M/NB-IoT), satellite for remote assets.

• Software & analytics: cloud platforms, route optimization, driver behaviour, predictive maintenance, EV/charge management, dashboards, APIs.

• Services: integration, installation, managed operations, data analytics services, professional services.

Key market drivers

1. Cost reduction & ROI: measurable savings from route optimization, fuel reduction, reduced idle time, lower insurance premiums, and preventive maintenance.

2. Last-mile & logistics growth: explosive growth in parcel delivery and on-demand services creates demand for tighter SLA adherence and visibility.

3. Regulation & compliance: electronic logging, driver safety standards, emissions reporting push fleets to collect structured data.

4. Electrification & new vehicle types: EV fleets need battery telematics, charging orchestration and new maintenance models.

5. Analytics & AI maturity: predictive and prescriptive analytics turn telemetry into decisions, improving uptime and utilization.