Why AI Video Is Now the Backbone of US Fleets

ABI Research names Lytx, Samsara, and Geotab top AI video telematics leaders as edge-AI transforms US fleet safety and operations

1 Mar 2026

An industry assessment published in February 2026 indicates that AI-powered video telematics has become central to how US fleet operators manage safety and operations, rather than a discretionary upgrade.

ABI Research’s latest Commercial Video Telematics Competitive Ranking, released on February 25, evaluated ten providers on innovation and implementation. It identifies a shift in competition from camera hardware to data processing and system integration.

Lytx ranked first overall, leading across all three categories: Overall Leader, Top Innovator and Top Implementer. The company’s machine vision system analyses more than 100 categories of driver behaviour using multiple data signals. It serves over 5.5m drivers and counts more than half of North America’s ten largest carriers among its clients.

Samsara placed second, with ABI highlighting its Connected Operations platform, which combines in-cab cameras with AI-generated safety reporting, automated coaching tools and digital training systems. Geotab ranked third, supported by its open platform and a partner marketplace of more than 430 solutions, alongside its integrated video system.

According to ABI Research director Adhish Luitel, providers are increasingly differentiated by software capabilities rather than hardware. “Vendors are no longer competing on camera hardware alone but on edge-AI accuracy, unified data platforms, and the ability to scale across complex, mixed-fleet environments,” he said.

The findings reflect broader changes in US logistics and trucking. Modern telematics platforms combine real-time inputs from cameras, GPS and engine diagnostics, allowing operators to identify risks, optimise routes and detect driver fatigue before incidents occur.

ABI projects the video telematics market will grow at a compound annual rate of 12.7 per cent through 2030. This expansion is linked to regulatory demands, including electronic logging device (ELD) and hours-of-service compliance, as well as pressure to reduce accidents and operating costs.

Further development is expected as generative AI tools are integrated into telematics systems, potentially enabling more predictive analysis of vehicle performance and driver behaviour, though adoption will depend on cost and regulatory clarity.