According to data shared by Merchant Machine, a credit card rate comparison service, China has become the most mobile payment-friendly country in the world, helped by the popularity of WeChat Pay and Alipay. Norway is close behind, and the United Kingdom ranks third, all behind the United States. The ranking released by Merchant Machine shows that 47% of Chinese consumers now use mobile wallets to pay bills, with the highest penetration rate in the world; followed by Norway at 42%, which is quite high for a country with a population of only about 5.2 million, and higher than other European countries; the third place is the United Kingdom, where 24% of smartphone users use mobile payment apps. The United States ranks seventh, with only 17% of people using mobile wallets. In the Asia-Pacific region, many countries are among the top ten. In addition to China, Japan ranks fourth with a penetration rate of 20%; Australia ranks fifth with a penetration rate of 19%; and Singapore ranks eighth with 17%. The mobile payment system with the most users is WeChat Pay, which ranks first with 600 million users. Alipay is second, with 400 million users. PayPal ranks third, with 210 million users. Apple Pay ranks fourth with 87 million users. Samsung Pay attracts 34 million users, ranking fifth. |
<<: In 10 minutes, you can realize global prompt of network status changes in APP
>>: Basic knowledge of "authority design" of backend system
Product introduction and product details are task...
According to foreign media reports, a Tesla model...
IT Home reported on June 23 that the official ver...
The Equipment Industry Development Center of the ...
"Live broadcast technology for starting a Ku...
Most people have a feeling that website optimizat...
In the data age, whether it is product, operation...
Following the "bayonet fight" in concep...
When it comes to canned food, many people think o...
Recently, WeChat has updated to version 8.0. In t...
Since entering the new media era, many companies ...
Some time ago, a friend asked me on WeChat, if I ...
Produced by: Science Popularization China Author:...
Before using deep learning networks for predictiv...