By 2026, fleet management will sit even closer to the core of business decision-making.
At Telematics and Connected Mobility 2025 in Vilnius in Lithuania, a conference focused on the future of fleet, connectivity and digitisation, industry leaders shared how telematics is moving deeper into core business and public infrastructure.
The focus is no longer simply on collecting data, but on using embedded intelligence to shape products, pricing, planning, and service delivery.
The Expanding Role Of Telematics Data
The market is evolving toward telematics-enabled services in which data intelligence is designed into the product itself.
Leasing and car subscription models, for example, increasingly depend on embedded connectivity to tailor pricing, optimise maintenance, and personalise user experiences.
The same foundation underpins next-generation tolling systems, which rely on real-time vehicle data to deliver usage-based billing across regions and borders.
In all these cases, telematics data is not the product, but rather the great enabler. The value lies in what the data makes possible: more efficient operations, new service models, and better decision-making. As this shift accelerates, data-enabled business models are moving from innovation projects into the mainstream.
Platforms like Wialon as well as others used by fleets and service providers worldwide, reflect this shift: telematics is no longer about raw data collection, but about enabling scalable services, automation, and informed decision-making across industries.
Complexity Behind The Process
Behind all these advances, the fleet management landscape remains complex. Many telematics service providers and software vendors still make decisions based on fragmented or outdated information. With adoption levels uneven across regions, too often, intuition still outweighs analytics.
As competition intensifies, this approach is becoming unsustainable.
On top of the missing pieces, artificial intelligence is rapidly redefining the rules, rewarding companies that innovate quickly and automate intelligently. The challenge for providers and fleet owners is to navigate the growing complexity and explore the tools and processes that help with the task.
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Shifting Market Expectations
Perceptions of fleet digitalisation are also changing. What was once considered advanced is now expected as standard, pushing the market forward and raising the bar for providers.
The competitive environment reflects this momentum. A broad fleet management solution competes with industry-specific apps, such as agriculture fleet management software, while the boundaries between fleet management, asset tracking, mobility services, and niche features continue to blur.
Market dynamics add further complexity:
- Electric-vehicle adoption has slowed in several countries after subsidy rollbacks
- OEMs are redefining the car through software-defined vehicle (SDV) architectures
- New EV brands are flooding the market with fresh data streams, creating both opportunity and fragmentation
And then, despite rapid technological progress, a striking gap remains between ambition and reality. Europe’s median fleet age is projected to rise from 8.2 years in 2008 to 12.1 years by 2030, meaning that preventive and active maintenance, along with the infrastructure supporting them, will play a significant role.
In 2026, investment in maintenance management solutions will be one of the main strategic routes for fleet owners looking to remain competitive.
Data Governance
Finally, data is both an asset and a liability. Treating it as an endless source of value without responsibility is not something a business can afford in 2026. Like any high-value asset, it requires control, accountability, and protection to deliver lasting returns.
Regulation and security will shape the market as much as innovation. The companies that treat regulation as a design constraint rather than an obstacle will be the ones able to move faster and scale more reliably.
By 2026, the data and integration choices made today will determine which fleets thrive tomorrow. The most resilient strategies will be built on universal, hardware-agnostic solutions that can create a single source of truth, an approach central to ecosystems, which give businesses the flexibility to adapt without being locked into a single technology stack.