🆚 American Express vs. Mastercard

Type

Payment service
Payment service

About

American Express is a global payment network and card issuer that provides charge, credit, and prepaid cards.

It enables contactless and mobile wallet payments, offers a membership rewards programm, provides purchase protection and extended warranty benefits, and supports a pay-in-installments feature called "Plan It".

Mastercard is a global payment-network processor that connects merchants, banks and card-holders for debit, credit and prepaid payments.

It supports payments in more than 210 countries and territories, offers contactless and mobile tap-to-pay transactions, provides layered security including tokenisation and real-time fraud monitoring, and gives card-holders travel insurance and extended warranty benefits depending on the card tier.

Headquarters

New York, United States
Purchase, New York, United States

Website

Categories

Payments › Rank #8
Payments › Rank #5

Popularity

Determined by the number of sites using each technology.

The Mastercard payment service is 2.5 times more popular than American Express.
Total websites

Market share

Payments

Popularity by country

Determined by the number of sites detected from each country.

Mastercard is more popular in the United States, Germany, and the United Kingdom, while American Express is more popular in China, Uruguay, and Bolivia.
United States
Germany
United Kingdom
Brazil
Netherlands
France
Russia
Spain
Italy
Australia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Mastercard is more popular among sites focused on online shopping, marketing and merchandising, and business, while American Express is more commonly used on restaurants sites.
Online Shopping
Marketing/Merchandising
Business
Fashion/Beauty
Travel
Internet Services
Software/Hardware
Finance/Banking
Sports
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
s*xemodel.com
#584
#1,498
View more ➝

See also

🗃️ About This Data