Map the highest-volume API trade corridors by shipment count and value. Inform freight-contract strategy, dedicated lane plays, and country distribution models.
The India to US corridor carries 42,096 shipments and $2.5B of declared API trade across 320 molecules in 2024. India to Nepal runs short-haul at 30,994 shipments and $165M (357 molecules), best understood as a high-frequency overland route. India to Kenya (15,987 shipments, 319 molecules) and India to UK (11,643 shipments, 164 molecules) round out the four corridors that warrant dedicated freight contracting.
| # | Corridor | Molecules | Shipments | Value | Posture |
|---|---|---|---|---|---|
| 1 | India → United States | Long-haul ocean | 42096 shipments | $2.5B | NAI |
| 2 | India → Nepal | Short-haul overland | 30994 shipments | $165M | NAI |
| 3 | India → United Kingdom | Long-haul ocean | 11643 shipments | $347M | NAI |
| 4 | India → France | Long-haul ocean | 11786 shipments | $273M | NAI |
| 5 | India → Kenya | Mid-haul | 15987 shipments | $181M | NAI |
All corridors, a destination market, or a portfolio of molecules. Each corridor returns shipment count, value, molecule breadth, and shipment-per-molecule density.
Three signals per corridor: total value (freight-contracting threshold), shipment count (frequency), and molecules carried (mix complexity). Each signal carries a recommended logistics posture.
Citation-anchored brief with the corridors that warrant dedicated freight, the corridors that need spot procurement, and the ones to consolidate.
A corridor with high value and low frequency (US, 42k ships, 320 mols) is a dedicated-freight candidate. A corridor with low value and high frequency (NP, 31k ships, 357 mols) is a different posture.
France runs 151 shipments per molecule on average, the highest in the data. That density implies smaller pack sizes and a complex distribution layer. The brief surfaces it.
A high-volume corridor with declining shipment count is the early warning for capacity build-down. Cross-reference against the cold-corridor and z-score signals.
Corridors above 10,000 shipments and $200M annual value trigger the dedicated-freight recommendation automatically. The brief sizes the contract.
A real chat thread in PharmaDB. Type a question, the AI agent runs the tools, the answer lands as a saveable note.
pharmagraph_query Twelve destination markets with significant 2024 corridor activity · count is shipments per molecule, a proxy for distribution complexity.
The corridor view is the freight-strategy foundation. PharmaDB ranks every export-import pair by value, shipment count, and molecule breadth, and recommends a logistics posture per corridor. The view is molecule_country_flow; the join is to countries for region and currency context.
A unique pair of export and import countries. The India to US corridor is one corridor; India to UK is another. Per-corridor metrics aggregate every molecule carried on that route.
PharmaDB's default is 10,000 shipments and $200M of annual value. Corridors above the line warrant a long-term freight contract; below it, spot procurement is usually more economical. Both thresholds tunable.
France runs the highest molecule-shipment density in the data. The pattern implies smaller pack sizes, more granular distribution, and a higher last-mile complexity. The brief flags it so the freight team accounts for the unit-economics.
Yes, but coverage is thinner. Indian trade declarations dominate the observable data; non-India origins (Turkey, Mexico, Indonesia, Costa Rica) carry lower volume and fewer molecules. The brief surfaces non-India corridors where they hit the threshold.
Same data, different signal. Logistics route mapping is the static volume picture; cold-corridor detection is the directional signal for corridors collapsing year on year. The two pages run as a paired workflow.
Trade aggregates refresh monthly. Corridor metrics recompute on every refresh. The catalog row carries the last-computed timestamp surfaced on every result page.
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