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If you have ever typed "how do I check who is importing what into which country" into Google at 11 PM, you already know the problem. Trade numbers online are often stale, locked behind a slow government portal, or summarised so heavily that the one detail you needed — a buyer's name, a shipment volume, an HS code trend — is missing. Anyone building a sourcing list, pricing a shipment, or pitching a new export market has run into this wall.
This isn't a small problem. Trade numbers move fast, and a decision based on last year's snapshot can cost real money. Per the Ministry of Commerce and Industry, India's combined merchandise and services exports for FY 2025-26 touched roughly $860 billion, up 4.22% year-on-year, while imports grew faster at nearly $979 billion, widening the trade deficit to about $119 billion. Globally, the WTO reported world merchandise exports crossed $26.3 trillion in 2025, up 7.2%, with services trade adding another $9.5 trillion. Numbers at that scale only matter to a business owner once broken down to the country, product, and company level — which is exactly where good trade data earns its keep.
A lot of people assume any trade statistic will do for a rough estimate. In practice, choosing a new buyer, benchmarking a competitor's shipment volume, or judging whether a category is worth entering all depend on granularity. A single aggregated trade figure from a government press release tells you the direction of the market, not which companies are actually moving that volume, how often they ship, or which ports they favour. That gap is why many SMEs still rely on trial and error or expensive customs brokers instead of proper import export data research.
There's also a timing problem. Portals such as DGFT's trade statistics dashboard and APEDA's tracking tools are authoritative but built for compliance reporting, not quick market scans. They update on official cycles, and cross-referencing them with buyer or supplier information means stitching together several downloads by hand — manageable for a one-off report, not if you're evaluating five markets a month. That's usually the point a business starts looking at a paid import export data provider instead.
Rather than repeat vague claims about "booming trade," here is what pulling from a proper export import data bank actually shows once the headline numbers are broken down:
India's merchandise exports for FY 2025-26 reached about $441.78 billion, up a modest 0.93%, per PIB data from the Ministry of Commerce.
Non-petroleum, non-gems-and-jewellery exports grew to $359.67 billion, pointing to a gradual shift toward value-added manufacturing.
India's services exports rose to $418.31 billion, up from $387.55 billion — still the stronger growth engine versus goods.
Gold imports show why volume alone misleads: quantity fell from 757 to 721 tonnes, yet value rose to nearly $72 billion on higher unit prices.
Globally, the WTO puts world merchandise exports at $26.3 trillion in 2025, with developing economies now at 46% of that, up from 29% in 2000.
The same release shows Asia's exports up 9.0% and imports up 7.8%, versus a slower 5.9% for developed-economy exports.
None of these figures are useful in isolation. They matter once layered against a specific product code, country pair, or a competitor's shipment history — the actual use case behind most import export data searches.
Most researchers don't need to build a private export import data bank from scratch; they need to know which existing sources to trust and combine:
APEDA for agri export/import tracking
DGFT for official Indian trade policy and EXIM figures
Ministry of Commerce for near real-time monthly snapshots
World Bank's WITS for tariffs and cross-country comparisons
WTO and OEC for global trade visualisation
Statista and Coherent Market Insights for sector forecasts
Trading Economics and India-stat for historical trends
Tridge and World's Top Exports for commodity breakdowns
Treated as a set, this kind of export import data bank gives a fairly complete picture — official volumes, research-firm context, and aggregator trend lines. The catch: none of them talk to each other. You still have to manually match an HS code from one platform against a company name from another. Building that kind of export import data bank yourself is doable once, but gets tedious fast if trade research is a recurring part of your job.
This is usually the point people stop assembling data manually and look at a dedicated import export data provider instead. Before picking one, check a few things rather than going by the homepage claims:
Does it cover the countries or ports you actually care about, not just a generic "global" label?
Can you search by HS code, company name, and date range together, or only one at a time?
Is the customs data refreshed often enough for your decision cycle?
Does it show buyer-supplier relationships, or only country-level totals?
Can you test it on a small query before committing to a paid plan?
Worth a mention here: platforms like Eximpedia.app are built around this exact gap — pulling shipment-level records, HS codes, and buyer-supplier detail into one searchable layer instead of leaving you to reconcile government PDFs by hand. It's one option among several, and the right fit depends on which countries and categories you're tracking.
Whichever import export data provider you evaluate, cross-check a sample of its numbers against a public source like DGFT or WITS before relying on it. That single step catches most mismatches before they get expensive. A good provider ends up doing the same job as your own export import data bank, just faster and with less manual reconciliation.
A few patterns show up repeatedly among people newer to this research:
Confusing export volume with export value — a rise in dollar value can hide a fall in quantity shipped, as seen in gold imports this year.
Using one month's figures to judge a full-year trend, when monthly numbers swing seasonally.
Ignoring the gap between merchandise trade and combined goods-plus-services trade, which can shift the headline number by hundreds of billions.
Treating global averages as relevant to a specific country pair, when regional growth rates differ by several points.
Trusting a single export import data bank without checking when it was refreshed, since an import export data provider's dashboard can look current while the underlying filing is months old.
Trade numbers are only useful when specific enough to act on. The FY 2025-26 figures alone — $860 billion in Indian exports, $26.3 trillion in global merchandise trade — are impressive headlines, but they won't tell an exporter which buyer to contact or a sourcing manager which supplier to trust. That level of detail comes from combining official statistics with a properly maintained export import data bank, and increasingly from working with a dedicated Import Export Data provider rather than assembling everything from scratch. Whichever route you choose, the discipline that pays off is simple: check the source, check the update date, and cross-verify before you act.
Any structured record of goods or services crossing borders — shipment volumes, values, HS codes, ports, and often the buyer and supplier names on each transaction. Customs filings are the original source; most platforms just organise and search that same data.
DGFT's trade statistics portal, the Ministry of Commerce's monthly releases, and APEDA for agri-exports are free and official — reliable, but not easy to cross-reference quickly, which is why researchers often pair them with a paid import export data provider for company-level detail.
Not quite. A government database is one country's official record. An export import data bank, as researchers use the term, combines multiple official and commercial sources so you can compare countries and companies in one place instead of switching between portals.
Check whether it cites its underlying customs sources, run a small test search against a country you know well, and compare results with a free source like WITS or DGFT. Consistent numbers are a good sign; large gaps are a red flag. Tools such as Eximpedia.app are worth including in that comparison, since they let you test a sample search first.
For an occasional lookup, free sources are usually enough. If you're tracking multiple countries or need buyer-level detail rather than country totals, a paid provider saves enough time to justify the cost — free portals weren't built for repeated, cross-referenced search.
Depends on the source. DGFT and the Ministry of Commerce typically update monthly, sometimes with a lag for final figures. Commercial platforms pulling from customs filings often refresh faster, but always check the "last updated" note before trusting a number for a live decision.
Data referenced from the Ministry of Commerce and Industry (PIB), DGFT trade statistics, WTO Global Trade Outlook and Statistics, and World Bank WITS.