AI Analytics of Ayurvedic Product Demand: An Evidence From Proprietary Data 2025

: Objective: This paper analyzes a multi-country sheet of Ayurvedic products to quantify demand across continents, identify leading countries and product clusters, and generate short- to mid‑term projections under two growth scenarios. Background: Global interest in traditional and herbal products has accelerated, with WHO backing a dedicated Global Traditional Medicine Centre and governments digitizing knowledge assets; market estimates for Ayurveda and herbal supplements indicate strong growth trajectories. Methods: We cleaned the dataset, aggregated Grand Total values at continent and country levels, and compared product portfolios via a continent–product heatmap. We then modelled forward projections (2025–2030) using compound annual growth rates (CAGR) representing (a) a conservative herbal‑supplements path (8.9%) and (b) a high‑growth Ayurveda path (27.2%). Results: The sheet indicates pronounced geographic concentration of demand, with a small set of countries contributing a large share of the Grand Total. Product mix differs materially by continent, suggesting localization of preferences and supply chains. Under the conservative scenario the global total approximately doubles over 7 years, whereas the high‑growth path yields a 4–5× expansion. Implications: Distinct product–continent niches (e.g., turmeric extract dominance in select regions; emerging interest in ashwagandha and boswellia) can guide portfolio and sourcing strategies. Conclusions: Combining granular sheet analytics with externally validated growth ranges offers a transparent, scenario‑based view of opportunity while flagging data limitations (single snapshot, no time series).