PharmaDB
Use case · Lane Concentration & Dual-Source · High-Concentration Lane Detection v.04.2026 · refreshed weekly
Use cases Lane Concentration & Dual-Source High-Concentration Lane Detection
Lane Concentration & Dual-Source Buyer view Molecule · sitagliptin Data · trade flowsData · lane competitiveness view Live

High-Concentration Lane Detection

Scan a molecule portfolio for lanes with HHI above the structural concentration threshold. Find implicit single-sourcing exposure before it disrupts supply.

Free preview · Ask the AI agent any sourcing question
Try
Sign up takes 30 seconds. Your question lands in your first chat.
Example output · sitagliptin export lanes · 2024 declared trade with HHI and exporter count
8 Sitagliptin lanes above HHI 6000 · all India-origin · concentration above the DOJ near-monopoly threshold
n=8 lanes above HHI 6,000 · trade warehouse Indicative

Sitagliptin exports from India sit at HHI 8044 into the US, 7820 into Saudi Arabia, and 6751 into Turkey with five to seven active exporters carrying 97 to 99% of lane value. The medium-sized lanes look diversified on a headcount basis but the top-3 share tells the structural story. Every lane in this list crosses the DOJ near-monopoly threshold; the dual-source workflow is the next step.

# LaneOrigin · DestLane HHIExportersTop-3 share
1 Sitagliptin · IN → SA Saudi Arabia 5 active exporters $9.97M NAI
2 Sitagliptin · IN → US United States 7 active exporters $3.38M VAI
3 Sitagliptin · IN → TR Turkey 12 active exporters $11.02M NAI
4 Linagliptin · IN → SA Saudi Arabia 5 active exporters $5.97M NAI
5 Linagliptin · IN → TR Turkey 10 active exporters $2.39M NAI
Concentrated lanes
8
Sitagliptin lane HHI (SA)
7820
Top-3 lane share
98.7%
Combined lane value
$45M
30 seconds

How it works

molecule losartan origin IN destination BR
01

Pick the molecule basket.

A single molecule or a portfolio. Sitagliptin, linagliptin, vildagliptin in one query if you source the DPP-4 inhibitor class.

0 HHI 0.42 1
computed · pre-joined · anonymised
02

The AI agent scans every lane.

Lane competitiveness joined to trade flows. Any lane above HHI 6000 surfaces with the exporter count, top-3 share, and 12-month value.

brief · cited
Lane concentration · structurally concentrated
HHI0.42
Top-3 share71%
Actionqualify second source
03

Hand off to dual-source.

Citation-anchored brief, ranked by lane value. One click hands each concentrated lane into the dual-source candidate workflow.

Why a buyer runs it

Find the implicit single-source before it bites.

Two-contract trap exposed.

A lane with two contracts looks safe on paper. If those two suppliers carry 90% of the lane, you are still structurally single-sourced.

Portfolio scan, not lane-by-lane.

Run across 50 molecules in one query. The top concentrated lanes ranked by combined exposure surface as a single list.

Threshold-based alerting.

HHI above 6000 is the default near-monopoly threshold. Tune to 4000 if you are a conservative procurement function. Alerts fire on every refresh.

Exporter count overlay.

A lane with HHI 8000 and 12 exporters has a different playbook than HHI 8000 and 5 exporters. Both numbers matter.

What a real chat looks like

Type a portfolio. The AI agent returns the concentrated lanes.

A real chat thread in PharmaDB. Type a question, the AI agent runs the tools, the answer lands as a saveable note.

Concentrated lanes · sitagliptin & class
chat · saved 2 min ago
You
Scan the sitagliptin export footprint for lanes with HHI above 6000. Surface every concentrated destination and the exporter count behind each.
F
Running tool pharmagraph_query
lane_competitiveness ⋈ molecule_country_flow · 8 lanes · HHI > 6000
F
The DPP-4 class shows structural concentration on India-origin lanes. Linagliptin into Saudi Arabia sits at HHI 9411 with five exporters. Sitagliptin into Saudi Arabia is HHI 7820 with five exporters. The Turkey lanes are larger ($11M sitagliptin) but the top three still hold 97.5% of value. Eight of the lane scan's twelve hits cross the near-monopoly threshold. Each is a dual-source candidate.
Concentrated lanes · ranked by HHI
1 Linagliptin · IN → SA HHI 9411 · 5 exporters · $5.97M
2 Vildagliptin · IN → IQ HHI 8940 · 7 exporters · $3.47M
3 Sitagliptin · IN → US HHI 8044 · 7 exporters · $3.38M
+5 more · open in PharmaDB
Cited lane_competitiveness 8 lanes molecule_country_flow 2024 trade
Ask a follow-up... ⌘ ↵
Time-to-answer

Manual workflow vs. PharmaDB.

Manual workflow
Excel · email · syndicated reports
  1. 01 Pull customs for each molecule-lane 1 day
  2. 02 Compute HHI per lane, by hand 1-2 days
  3. 03 Cross-check exporter count 4-6 hr
  4. 04 Build the concentration heatmap 1 day
  5. 05 Rank and hand off to dual-source 4 hr
Total cycle time 3-5 days per portfolio scan
PharmaDB
The AI agent · one query · cited
One query.
Pre-joined warehouse. HHI, exporter count, and lane value are computed at the schema layer and refresh weekly. The AI agent surfaces the full concentration map across the portfolio in chat with citations.
Total cycle time Under a minute
Run across your portfolio

DPP-4 class lane concentration.

Lanes in the latest blockbuster pool with HHI above 6000 and at least $2M in 2024 trade · active exporter counts shown.

Sitagliptin → SA thin
5 active exporters
HHI 7820
Linagliptin → SA thin
5 active exporters
HHI 9411
Vildagliptin → IQ adequate
7 active exporters
HHI 8940
Sitagliptin → US adequate
7 active exporters
HHI 8044
Valsartan → IQ adequate
7 active exporters
HHI 7413
Sacubitril → AE adequate
7 active exporters
HHI 3359 watch
Telmisartan → DE adequate
6 active exporters
HHI 8502
Telmisartan → MX adequate
6 active exporters
HHI 9429
Linagliptin → TR adequate
10 active exporters
HHI 7055
Sitagliptin → TR deep
12 active exporters
HHI 6751
Apixaban → BR thin
5 active exporters
HHI 3586 watch
Sitagliptin → GB adequate
8 active exporters
HHI 3495 watch
Thin · < 6 suppliers · qualify additions Adequate · 6–11 Deep · 12+ · negotiable

The portfolio lane scan is the structural risk view across your sourced molecules. PharmaDB surfaces every lane in the basket above the configurable HHI threshold, ranks by combined value at risk, and hands the top exposures into the dual-source workflow. The view is lane_competitiveness; the join is to molecule_country_flow.

FAQ

Frequently asked

Why HHI 6000 and not 4000?+

PharmaDB's default threshold is the US DOJ near-monopoly line. 4000 is the structurally-concentrated threshold and surfaces a wider list. Both are tunable in the query; the default returns the lanes where action is non-optional.

How is the portfolio scoped?+

Pass a molecule list, a class (DPP-4 inhibitors, SGLT-2 inhibitors, BTK inhibitors), or a destination market. The AI agent filters before running the lane scan, so the result is portfolio-relevant rather than a global league table.

What if a lane has fewer than three exporters?+

It surfaces with a structural single-source flag rather than an HHI value. A two-exporter lane is mathematically not measurable on HHI but is operationally the highest-risk case.

Is this just a re-run of the Lane Concentration Risk page?+

Lane Concentration Risk answers one lane at a time. High-Concentration Lane Detection is the portfolio scan. Same underlying view, different orchestration.

Does the scan cover FDF lanes too?+

Yes. The methodology is identical for API, FDF, biosimilars, and intermediates. FDF lanes add a regulatory check for the local marketing authorisation, surfaced as a separate column.

How fresh is the data?+

Trade aggregates refresh weekly. Lane competitiveness recomputes on every refresh. The catalog row carries the last-computed timestamp surfaced on every result page.

Run your question.

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.

Book a working session