Baselines reflect what is in operation and what is newly registered, structured by vehicle type, age profile, duty cycle and powertrain where relevant.


Forecasting is only useful when you can explain what is driving the numbers.
Too often, “market forecasts” are black boxes: unclear inputs, inconsistent definitions, and assumptions that cannot be tested. PAVE Insight builds forward views from the same structured model that underpins market analysis and benchmarking.
Start with a baseline anchored to vehicle registration data and vehicle parc data, then layer in adoption drivers such as powertrain mix, technology uptake, and regulatory direction.
Because forecasting is connected to your view of provider coverage and product capability, you can move beyond generic growth rates to understand how opportunity shifts by segment, market, and route to market.
Observed datasets and modelled outputs are maintained as distinct analytical layers, enabling traceability and transparent interpretation.