How we source, define and forecast the numbers

A Race Auto Analytics flash report is a monthly market summary for a country: total vehicle sales movement, OEM market share, segment performance, EV and alternative-fuel signals, and application splits where available. It is designed to give analysts, suppliers, dealers and planning teams a fast, comparable monthly read.

Figures are compiled from official and industry-reported vehicle sales and registration data for each market, then cleaned and normalized into consistent OEM and segment definitions so numbers can be compared across countries and months.

[CONFIRM] List the specific source(s) per country (e.g. national registration authority, industry association, OEM disclosures) so analysts can trace and cite provenance — this is the single biggest trust signal for a data vendor.

[CONFIRM] State clearly whether headline volumes are wholesale (dispatches from OEM to dealer) or retail (registrations / sales to end customers), per country, since the two can diverge materially. Define how EV / alternative-fuel and each vehicle segment (PV, CV, 2W, 3W, truck, bus, tractor, construction equipment) are classified.

Coverage spans 14 countries and up to 9 vehicle segments, with depth varying by market. India is the deepest dataset and is released early each month (day 3); other markets follow on a staggered schedule.

[CONFIRM] Publish the per-country release day and module depth so subscribers know exactly what to expect and when.

The six-month forecast combines more than one signal so teams can compare demand direction rather than trust a single black box: AI/ML baselines learned from historical trends and seasonality, analyst assumptions, survey-based outlooks, and a Build Your Forecast (BYF) scoring approach where users weight their own drivers and barriers.

[CONFIRM] Note the base period each forecast is anchored to and any model-selection or blending rules you want stated publicly.

[CONFIRM] State your revision policy: when prior-month figures can be restated (e.g. as official data finalizes), how corrections are flagged, and the versioning subscribers can rely on. A clear revision policy is what lets analysts defend your numbers in their own decks.