Gain competitive advantage

Gain competitive advantage

Benchmark providers on a like-for-like basis using traceable, verified product portfolios, a standardised taxonomy and consistent performance indicators.

Understand who offers what, where and to whom - then reuse the same benchmarks across leadership, product, sales and partner discussions.

Competitive intelligence in telematics is often fragmented, inconsistent and hard to trust. PAVE Insight replaces unstructured notes and marketing claims with a systematic view of the competitive landscape.

The platform maintains provider coverage and product portfolios using a consistent taxonomy of product types and functions. That means you can compare companies on what they actually offer, see how coverage differs by region and segment, and identify where meaningful gaps remain—without switching frameworks each time.

Where scale and performance indicators are used, they are represented consistently and linked back to the relevant products and markets they relate to. This creates benchmarking views that remain usable across different teams and decision cycles, with less debate about definitions and more clarity on what it will take to win.

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Our Expertise

Under the surface, the platform combines specialised capabilities that turn source-traceable, analyst-verified coverage into market intelligence teams can actually use. Coverage is anchored to vehicle registration data and vehicle parc data and organised through a consistent taxonomy so comparisons remain coherent over time.

Observed datasets and modelled outputs are maintained as distinct analytical layers, enabling traceability and transparent interpretation.

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What can you do, with PAVE Insight?

PAVE Insight is a market intelligence platform for connected mobility teams who need a view of markets they can stand behind.

Every output is grounded in source-traceable, analyst-verified coverage, reviewed against documented sources by PAVE Insight’s research team, and anchored to vehicle registration data and vehicle parc data.

Datasets and outputs are maintained in layers to enable traceability, transparency, and reliable interpretation.

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