38 industries
Thirty-eight industries, each mapped to the HS chapters customs files it under, with the markets that lead them and a route into the chapter-level records.
Textiles is nine chapters. Pharmaceuticals is three. Automotive spreads across vehicles, rubber, steel and machinery. Search a single code and you measure a slice of your own market; read the chapters together and you measure the market. Each hub below groups the chapters that belong to one industry and sums them.
Markets ranked by the sum of the industry's chapters, not by one code at a time.
Every hub routes to the underlying HS chapter pages for product-level detail.
The same chapters read as demand if you sell, and as supply if you buy.
Or start elsewhere
Customs classifies goods; commerce organises itself into industries; and the two do not line up. Textiles is nine chapters. Pharmaceuticals is three. Automotive spreads across vehicles, rubber, steel and machinery. Anyone researching a market by searching a single chapter therefore measures a slice of it, and every conclusion built on that number inherits the shortfall. The industry pages exist to hold the chapters together and give the view that no single chapter can.
| Industry | Chapters it spans | What a single-chapter view misses |
|---|---|---|
| Textiles and apparel | 50–63 | Fibre, fabric and finished garments are one supply chain |
| Automotive | 87 plus 40, 73, 84 | Tyres, stampings and components sit outside vehicles |
| Pharmaceuticals | 30, 29, 90 | Formulations, actives and lab equipment move together |
| Construction | 25, 68, 69, 72, 73, 76 | A project buys across all of them at once |
| Food | 16–22 plus 07, 08, 10 | Inputs and processed output are separate chapters |
Start with the whole-industry market tables, which rank countries by the sum of the industry’s chapters rather than by any one of them. That tells you where the category actually trades. Then move into the chapter pages for product-level detail: which specific line, which partners, which multi-year values. Then, if you are working India, cross into the location pages to find the clusters that make it. The three layers answer different questions and they are meant to be used in that order.
Some products sit cleanly in one industry and others genuinely straddle two. A polymer-based automotive component belongs to both plastics and automotive; an LED luminaire belongs to both electricals and lighting. Where that happens, read both — the overlap is informative, because the buyers in each are different and the competitive sets are different. The chapter list on every hub tells you exactly where the boundaries lie.
For a multi-chapter industry, a single-chapter view can understate the market by more than half. Read the chapters together before you conclude anything about size, growth or concentration.
Trade data rewards a short, boring discipline far more than it rewards technique. Four steps cover most of it, and skipping any one of them is where the confident wrong conclusions come from. Fix the classification first, because every filter, every duty figure and every price comparison downstream is keyed to the tariff line and inherits any error in it. Then read at least three years, so that seasonality and trend can be told apart rather than conflated. Then exclude the most recent one or two periods, which are still filling in as late filings arrive. Then separate value from volume, because a value movement can be price, quantity or a change of mix inside the line, and those point in different directions.
| Step | What it prevents | Cost of skipping it |
|---|---|---|
| Confirm the tariff line | Filtering the wrong product | Every downstream figure is wrong by an unknown amount |
| Read three years | Mistaking a season for a trend | Strategy built on a cyclical high or low |
| Drop the incomplete tail | Reading reporting lag as decline | Writing off buyers who never stopped buying |
| Separate value from volume | Reading price as demand | Investing against a movement that was not demand |
| Check the counterparty | Acting on an unverified name | Credit or capacity committed to a company with no history |
| Record the period and source | Unrepeatable analysis | Figures nobody can reconcile three months later |
The material here is one layer of a set that is meant to be used together. The country pages establish the shape of a market from official reported figures. The HS chapter pages take a single classification down to product level. The industry hubs group the chapters that make up a real industry and sum them, because almost no industry is one chapter. The India location pages read the national record as places, using the clearance point as a geographic signal. And the trade role pages take one job at a time — building an importer list, checking an exporter, reading a lane — and set out the signals that matter for it.
Reported totals, partner markets and chapter breakdown for 99 markets.
Learn more ›All 98 chapters, each with the markets that trade it.
Learn more ›Thirty-eight industries, each summed across the chapters it spans.
Learn more ›Seventy-nine trading places, their gateways and their clusters.
Learn more ›The same record read as a buyer list, a supplier check or a lane analysis.
Learn more ›Classification, documentation, pricing, sourcing and compliance in practice.
Learn more ›Customs records cover goods that physically crossed a border and were declared to an authority. They do not cover services. They do not cover domestic trade, so a business selling mainly inside its own market will look far smaller here than it is. They carry no margin, no contract terms, no payment behaviour and no intent. Coverage of counterparty names varies by jurisdiction and is not universal, data arrives on a lag, and published periods are revised as corrections come in.
None of that reduces what the record is good for, and stating it plainly is what makes the rest credible. Used within its limits, customs data is one of the very few commercial sources where the underlying event actually happened, was documented at the time, and was documented under legal obligation rather than for promotional purposes. That is a rare property, and it is worth not overselling.
Before relying on any trade dataset — ours or anyone else's — ask which markets are covered at which depth, what the lag is in each, how company names were matched, and what happens to a historical series across an HS revision. The answers tell you more than any headline figure.
Because customs classifies goods by what they are, not by which industry uses them. Textiles spans nine chapters and automotive spreads across vehicles, rubber, steel and machinery.
No. The chapter pages carry product-level detail for one classification. The industry hubs sum the chapters an industry actually trades under and rank markets on the total, which no single chapter page can do.
The one whose chapter list contains your tariff line. Where a product genuinely straddles two industries, read both — the buyer sets and competitive sets differ.
Yes, filtered across the industry's chapters at once rather than one code at a time, which is the point of grouping them.