Quantify how dependent a supplier is on its top buyer. The procurement-leverage metric, computed from anonymised trade flow at the supplier level.
Twelve Indian API suppliers run at top-buyer share above 65 percent in 2025. AMN Life Science is the most concentrated at 87.6 percent (single dominant buyer across 10 named counterparties). Buyer HHI ranges from 4,600 to 7,700 in this cohort. The negotiation leverage signal: these suppliers face material commercial exposure to their largest customer and are typically more responsive on price and volume terms.
| # | Supplier | Region | Distinct buyers | Top-buyer share | Leverage signal |
|---|---|---|---|---|---|
| 1 | AMN Life Science | IN · supplier | 10 buyers | 87.6% top buyer · HHI 7,710 | VAI |
| 2 | Recipharm Pharmaservices | IN · CDMO | 21 buyers | 82.8% top buyer · HHI 6,946 | NAI |
| 3 | HAB Pharmaceuticals | IN · Mumbai | 25 buyers | 81.9% top buyer · HHI 6,758 | NAI |
| 4 | Amol Pharmaceuticals | IN · Mumbai | 6 buyers | 81.1% top buyer · HHI 6,675 | VAI |
| 5 | Indena India | IN · Mumbai | 8 buyers | 77.3% top buyer · HHI 6,147 | VAI |
| 6 | Alphamed Formulations | IN · Hyderabad | 28 buyers | 76.0% top buyer · HHI 5,978 | NAI |
| 7 | Nagase India | IN · Mumbai | 12 buyers | 74.8% top buyer · HHI 5,764 | VAI |
| 8 | Pharose Remedies | IN · Vadodara | 6 buyers | 70.7% top buyer · HHI 5,779 | VAI |
Specific supplier, shortlist, or molecule cohort. The AI agent pulls every supplier in scope from the trade aggregates.
Distinct-buyer count, top-buyer share, full buyer HHI on the 0-to-10000 scale. All computed on anonymised lane-level aggregates.
Citation-anchored brief with the cohort, sub-scores per dimension, and a chip showing the negotiation leverage signal.
A supplier whose top buyer accounts for 80% of their volume is materially exposed if that buyer walks. The buyer in the negotiation seat knows this and prices accordingly.
Wide buyer bases (50+ named counterparties) signal a supplier with commercial momentum and limited dependency. Narrow bases signal the opposite.
Counterparty identities are aggregated. PharmaDB never surfaces named buyer-to-seller transaction listings; the disclaimer is honoured at the query layer.
Trade aggregates refresh weekly. Buyer concentration recomputes on every refresh; the catalog row carries an as-of timestamp.
A real chat thread in PharmaDB. Type a question, the AI agent runs the tools, the answer lands as a saveable note.
pharmagraph_query Indian API supplier base · count of suppliers per top-buyer-share band, 2025 latest.
Customer concentration at the supplier is the procurement leverage signal. PharmaDB aggregates declared customs counterparties per supplier and reports distinct count, top-buyer share, and buyer HHI, all anonymised. The view rests on company_buyer_concentration derived from company_trade_exports. Refresh cadence is weekly.
For each supplier, PharmaDB aggregates molecule-attributed shipments per declared counterparty over the year. Distinct-buyer count, top-buyer USD share, and buyer HHI (on the 0-to-10000 scale) are then computed. Identities are aggregated at the threshold required by the trade-data disclaimer.
Above 60 percent indicates material customer dependency. Above 80 percent indicates single-anchor structure. Suppliers in the 80+ band typically have a CDMO or contract structure rather than a broad-market supplier model; the leverage dynamics are different.
Two ways. First, knowing a supplier's anchor share tells you how price-sensitive they are likely to be on incremental volume from a new buyer (high anchor = more flexible). Second, knowing the supplier's buyer-base width tells you how easy it is for them to absorb a lost customer (wide = easier).
No. Lane-level aggregates only. The product never shows named buyer-to-seller transaction listings. The disclaimer is honoured at the query layer; chip output reads as 'top buyer accounts for X percent' without naming the buyer.
A supplier with high customer concentration is a candidate for an acquirer's diligence (the buyer is the asset). The BD-side analysis 'Buyer-Concentrated Suppliers' uses the same view for acquisition targeting; this page focuses on procurement-side leverage.
Weekly. Trade aggregates refresh weekly; buyer concentration recomputes on every refresh. The catalog row carries an as-of timestamp on every result page.
Bring the molecule, the lane, or the supplier you're sourcing this week. The AI agent runs it on PharmaDB in 30 minutes. You keep the brief.