Types segmentation classifies the methodological approaches employed across the drug discovery continuum. In silico techniques, including AI‑driven target prediction and virtual screening, represent an emerging segment that now captures roughly 18 % of total spend, driven by cost‑efficiency and accelerated hypothesis generation. In vitro platforms, such as cell‑based assays and biochemical screens, remain the workhorse, accounting for about 35 % of expenditures due to their direct relevance to hit generation. In vivo studies, comprising animal models for efficacy and safety, command roughly 22 % of the budget, reflecting regulatory mandates and translational risk mitigation. Combinatorial chemistry and high‑throughput screening are often grouped as experimental modalities, together comprising 15 % of outlays, while omics‑driven and phenotypic discovery approaches occupy the remaining 10 %. By delineating these types, the market taxonomy clarifies how technology adoption patterns shape overall spending, supporting strategic forecasting and resource allocation within the drug discovery ecosystem.