Transforma Insights, the world’s leading IoT analyst firm, has today published a new report ‘IoT connectivity and fleet management: technology trends driving changing behaviour’, which provides a guide to the latest developments in cellular-connected fleet management.
Fleet management has long relied on telematics to improve vehicle visibility and operational efficiency. Today, AI, advanced analytics and connected technologies are transforming these systems from tracking tools into intelligent decision-making platforms. This report, commissioned by Vodafone IoT, explores the latest developments in cellular-connected fleet management.
It comprises a series of sections, each looking at different aspects of the evolution of IoT connectivity for fleet management:
Key trends in fleet management – Fleet management has long relied on telematics to improve vehicle visibility and operational efficiency. Today, AI, advanced analytics and connected technologies are transforming these systems from tracking tools into intelligent decision-making platforms. This section explores the major changes occurring in the fleet management sector.
How network technology evolution impacts fleet management – Fleet management solutions rely overwhelmingly on cellular connectivity. Fleet operators face a convergence of network-related challenges driven by the evolution of the associated cellular technologies, including 2G/3G refarming, a growing diversity of connectivity options with varying capabilities in terms of future-proofing, cost management, coverage, reliability, and power consumption. All of this will force organisations to proactively manage device lifecycles, with significant implications for hardware design, replacement strategies, and long-term connectivity planning
5G as an enabler of richer fleet management capabilities – The arrival of 5G introduces a step-change in connectivity capabilities that can materially enhance fleet management systems, particularly as operations become more data-intensive, safety-critical, and integrated with broader digital ecosystems. Key capabilities include increased bandwidth, greater reliability, network slicing, and Cellular V-2X.
Non-Terrestrial Network (NTN) satellite extends coverage for fleets – Non-terrestrial networks (NTN) integrated within the cellular technology standards, introduce a significant expansion of connectivity options for fleet management by extending cellular-style communications beyond the limits of terrestrial coverage
eSIM and remote SIM provisioning: a new paradigm for connecting fleets – Remote SIM provisioning (RSP) and embedded SIM (eSIM) technologies, particularly the latest SGP.32 standard, materially enhance fleet management connectivity by improving device durability, enabling more flexible network selection, and reducing operational dependence on physical SIM logistics. For fleet operators managing assets across multiple regions, these capabilities directly address long-standing constraints around roaming restrictions, cross-border compliance, and the difficulty of maintaining consistent connectivity over long device lifecycles.
Meeting the growing requirements for regulatory compliance – Fleet management is one of the IoT sectors most directly shaped by the accelerating expansion of regulatory requirements, because it inherently combines cross-border mobility, continuous data generation, and safety-critical operations. Key regulatory challenges including permanent roaming, Know Your Customer, SIM registration, security, data sovereignty, national resilience, and sustainability.
Addressing IoT security risks – IoT security is a core operational dependency in fleet management because vehicles have become continuously connected computing platforms, combining telematics devices, driver-facing systems, sensors, and increasingly video and edge-processing capabilities. The report explores how the benefits of features such as SIM-based authentication, private APNs, device identity binding and policy management.
AI in fleet management and the implications for IoT connectivity – Artificial intelligence is becoming deeply embedded in fleet management, not as a single capability but as an enabling layer that reshapes how vehicles, drivers, infrastructure, and logistics systems interact. This section assesses the shift from descriptive telemetry to predictive and increasingly autonomous operational control, including areas such as predictive maintenance, route optimisation, and driver behaviour analysis, as well as the implications for connectivity.
