If artificial intelligence first transformed knowledge-based professions, customer service, software development, marketing, finance and documentary analysis are among the first areas to have benefited from recent advances in generative models, it is beginning to settle at the heart of the physical operations of companies.
The announcement of funding of up to €49 million for CameraMatics illustrates this development. Founded in Dublin in 2016 by Mervyn O’Callaghan and Simon Murray, the company is developing a fleet intelligence platform combining in-vehicle video, telematics, behavioral analytics and artificial intelligence. The operation brings together Blume Equity, the Ireland Strategic Investment Fund (ISIF) and Goodbody Capital Partners on behalf of AIB.
Vehicles become digital assets
The progressive equipping of vehicles with sensors, cameras, geolocation systems and diagnostic devices is profoundly changing the situation, each truck, utility vehicle or intervention vehicle now constantly produces information on its environment, its use and its operating status.
Fleet managers thus have unprecedented visibility into driving behavior, operating conditions, energy consumption and even operational incidents.
These changes are gradually bringing the professional vehicle closer to the status of a connected digital asset. For companies, the issue is no longer just knowing where their vehicles are, but understanding what is happening there in real time.
Security becomes a predictive discipline
Safety is one of the main cost items for large professional fleets. Accidents, downtime, disputes, insurance deductibles, repairs and business interruptions weigh heavily on operating accounts. In certain sectors, a few points of reduction in the loss ratio can represent several million euros in annual savings.
It is precisely in this area that artificial intelligence finds one of its most tangible uses today.
Thanks to on-board video analysis and real-time processing of telematics data, new generation platforms seek to identify risky situations before they degenerate into an accident.
Sudden braking, driver distraction, insufficient safety distances, repetitive behaviors or driving anomalies can now be detected automatically.
The logic is no longer that of post-incident investigation but that of prevention, where road safety gradually enters into a predictive logic comparable to that observed in industrial maintenance or cybersecurity.
Insurers, a discreet driver of transformation
Another dynamic explains the acceleration of the market; insurers are carefully following the evolution of video telematics technologies.
For them, these platforms offer the possibility of better understanding risky behavior, more precisely establishing responsibilities during an incident and reducing costs linked to fraud or litigation. Gradually, data from fleets could become a central element in the calculation of professional insurance premiums.
From dashboards to operational agents
The first generations of fleet management solutions essentially had the function of producing indicators and dashboards, while the most advanced platforms now seek to become prescriptive.
The objective is no longer just to provide information but to help make decisions. Ultimately, the systems could automatically recommend route modifications, anticipate maintenance operations, adjust vehicle assignment or trigger certain incident management procedures.
This development is part of a broader movement observed in all professional software: the move from analysis to execution.
A global battle already underway
The market in which CameraMatics operates remains difficult to isolate, as the boundaries between fleet management, telematics, on-board video, insurance and operational intelligence are rapidly being redefined. However, the estimates give an order of magnitude. The global fleet management market is estimated at between $33 billion and $38 billion in 2024-2025 and could reach nearly $70 billion by 2030. The broader commercial vehicle telematics segment is estimated at $61.5 billion in 2024, with a projection of $130 billion by 2030. Video telematics, the historic core of CameraMatics’ market, remains narrower but more dynamic, with a market valued at $1.69 billion in 2024 and expected at $8.67 billion in 2034. This difference in size explains the strategy of players in the sector to no longer limit themselves to the on-board camera, but to move towards an operational intelligence platform covering security, insurance, maintenance, energy consumption and management of physical assets.
Leaders and new entrants: a market in full restructuring
The telematics and fleet management market has long been dominated by players specializing in geolocation, regulatory compliance and vehicle tracking. Over the past five years, a new generation of companies has sought to transform these platforms into operational intelligence systems capable of leveraging AI to drive large-scale physical operations.
samsara : the reference model
Founded in 2015 in California, Samsara has become the most iconic player in the sector. Listed in New York, the company has gradually gone beyond fleet management to build a “Connected Operations” platform. Its offering connects vehicles, industrial equipment, trailers, construction sites and infrastructure to provide a unified vision of field operations. By 2026, Samsara is approaching $2 billion in annual recurring revenue and processes data from tens of billions of miles traveled each year. The company now presents itself as an “Operational AI” player, capable of automating certain operational decisions in the transport, construction, energy or public services sectors.
Motivate : from compliance to physical AI
Formerly known as KeepTruckin, Motive began in the market of regulatory compliance devices for U.S. carriers. The company now has nearly 100,000 customers in logistics, construction, energy and industry. Its platform combines driver safety, fleet management, equipment tracking, maintenance and expense analysis. Motive now uses the term “Physical AI” to describe its ambition: to apply artificial intelligence to real-world physical operations. The company has filed for an IPO in the United States in late 2025.
Geotab : the discreet giant of vehicle data
Based in Canada, Geotab is one of the oldest players in the sector. The company connects approximately six million vehicles and assets worldwide and processes more than 100 billion data points per day. Its DNA remains strongly focused on telematics, vehicle data analysis and compliance. Geotab is also very present on the issues of fleet electrification, connected vehicles and integration with automobile manufacturers. Where Samsara emphasizes operations, Geotab remains one of the world leaders in automotive data.
Verizon Connect : the strike force of telecoms
A subsidiary of the Verizon group, Verizon Connect is the result of several acquisitions made in geolocation and fleet management. Its positioning remains more focused on traditional fleet management: vehicle monitoring, route optimization, asset management and field team productivity. Its main advantage lies in its installed base with large North American companies and communities.
Lytx : the pioneer of embedded video
Founded in the late 1990s, Lytx is often considered the inventor of modern video telematics. The company specializes in on-board video analysis to improve road safety and reduce losses. Its expertise is based on the accumulation of driving video data over several decades. Where Geotab dominates telematics and Samsara dominates connected operations, Lytx remains a global benchmark in behavioral security.
New entrants rely on native AI
Netradyne
Founded by former Qualcomm executives, Netradyne develops artificial vision systems capable of analyzing driver behavior in real time. Its Driver•i product is often touted as one of the most advanced AI-assisted safety systems on the market. The company illustrates the rise of a new generation of players whose DNA is more that of artificial intelligence than that of telematics.
Platform Science
Platform Science pursues a different approach. The company develops an open software platform for commercial vehicles. Its ambition is to create an equivalent of Android for heavy goods vehicles and professional fleets, allowing third-party applications to run on the same software infrastructure.
Foretellix
At the border between simulation, security and autonomous vehicles, Foretellix works on the validation of automated driving systems. The company does not operate directly in fleet management but participates in the growing convergence between telematics, AI and autonomy.
