Market estimation for a mining equipment tyre-handler attachment

A manufacturer developing a new telescopic handler needed current and forecast volume estimates for a tyre-handler attachment. GlobalData used its mining assets database together with a "Proprietary Mining Equipment Predictor Model" — an internally developed model factoring in mining shifts, asset class and cycle time (loading, unloading, hauling) — to estimate equipment populations by geography and category (trucks, loaders, excavators/shovels, dozers, motor graders), differentiating run-of-mine versus overburden operations and truck payload classes (e.g., 400/200/100/40 ton). The page describes the methodology and model capability but does not disclose specific volume figures or forecast numbers.

The customer is anonymised in GlobalData’s own case study — not withheld by us.

GlobalData is a pipeline, clinical-trial and market-intelligence data provider, similar in kind to Cortellis, tracking hundreds of thousands of drugs across their full lifecycle.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.