B2BDatabase

B2B Contacts by Country

B2B Database Network spans 100M+ verified, non-suppressed B2B contacts. The largest single country is United States with 11,513,364 contacts. B2B Database Network tracks verified business contacts across every major market. The breakdown below shows live, non-suppressed record counts by country.

Data as of July 1, 2026 ยท refreshed quarterly (Q3 2026).

Contacts by country
United States11,513,364
India5,890,148
Canada4,907,675
Brazil4,070,833
Australia3,655,225
France1,931,455
Netherlands1,844,690
Spain1,497,063
Germany1,366,810
Mexico1,251,530
Argentina1,014,334
South Africa1,004,239
China996,931
Indonesia705,096
Colombia687,440
Belgium669,581
Sweden655,758
United Arab Emirates637,139
Turkey606,076
Chile600,802
Philippines550,145
Pakistan520,562
Denmark514,505
Singapore462,247
Malaysia452,159
Switzerland432,427
Peru430,185
Romania366,637
Norway362,303
Saudi Arabia357,375
Poland353,284
New Zealand337,001
Russia319,663
Egypt306,156
Nigeria269,645
Finland251,319
Greece207,534
United Kingdom189,012
Thailand178,098
Italy174,361
Morocco170,524
Ecuador163,545
Vietnam144,225
Austria142,642
Bangladesh141,576
Ukraine134,482
Sri Lanka124,497
Ghana123,481
Algeria119,805
Hungary117,215

Understanding the country breakdown

Country is the first filter most teams reach for, because it scopes a campaign to where you can actually sell, support, and comply. The distribution below reflects genuine coverage โ€” the markets where the dataset has depth โ€” rather than a flat claim of "global." Use it to size an addressable market before you spend a credit, and to decide which regions warrant a localised sequence.

How this country data is measured

  • Country is normalised to a single canonical name per record, so the United States, US, and U.S.A. all roll up into one bucket rather than fragmenting the count.
  • Each contact is counted once, after de-duplication, and only if it is live and non-suppressed at request time โ€” opted-out and Do-Not-Sell records are excluded from every bucket.
  • Counts reflect the contact's location, which for most B2B records is the company's primary operating country; multinational companies may therefore appear across several country buckets.

How to use this breakdown

  • Size a market before committing to it โ€” read the count for a country to gauge whether there's enough volume to justify a dedicated campaign.
  • Pair country with seniority or industry to find the exact slice you sell to in a given region, then check the live count narrows sensibly.
  • Respect local e-marketing law: outreach in the EU/UK typically needs a legitimate-interest basis and easy opt-out, while the US is opt-out under CAN-SPAM.

Every value in the table above is a link. Click one to open a filtered search for that country, then stack additional filters and watch the live count narrow to your exact target list. You only spend a credit when you reveal a verified contact, and invalid emails are refunded automatically at export.

Explore other breakdowns

Frequently asked questions

How many B2B contacts does B2B Database Network have by country?

The dataset holds 67,008,157 verified contacts in total. By country, the largest is United States (11,513,364 contacts); the full live breakdown is shown above.

Which countries have the most coverage?

The live breakdown above shows the exact ranking; coverage is deepest in the largest English-speaking and EU markets. Read the top buckets to see where the dataset has the volume to support a dedicated campaign.

Can I filter contacts to a single country?

Yes. Click any country in the table to open a filtered search for that market. You can then layer industry, seniority, and department filters on top and watch the live count update.

How fresh and accurate are these numbers?

These counts are aggregated live from the contact store and exclude suppressed records. Published figures are refreshed each quarter (Q3 2026). Every email also carries its own verified_at date.

Are these real, deliverable contacts?

Each record carries a layered email verdict โ€” valid, catch-all, risky, or invalid. Catch-alls are labelled, never sold as verified, and invalid emails are auto-refunded at export.