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China’s Digital Wallets Offer a Glimpse at the Future of Payments

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Chinese consumers conduct 11 times more mobile payments than their counterparts in the United States, so as we look to the future of digital wallets, China is a natural place to start.

Mobile Payments USA vs. China

Forecasts for mobile payment adoption in the United States remain flat for now; however, two major brands – WeChat and AliPay – offer a glimpse of what the future may eventually hold for mobile payments in North America.

Digging Through WeChat’s Wallet

WeChat, a platform owned by Tencent, is a force to be reckoned with. It’s fast closing in on one billion monthly active users (MAUs), and the average user spends over an hour on the app each day.

WeChat users aren’t just unusually chatty – there’s actually a high level of utility to the platform that North American apps have yet to match. WeChat’s wallet alone is packed with features ranging from mobile payments to ride hailing. Below is a look at just some of the features.

WeChat Overview

WeChat’s wallet is packed with features that are constantly evolving, but here are some current features worth noting:

Payments in the real world
“Scan-and-pay” is widely popular in China, particularly in big cities where it’s hard to find a product or a service that cannot be purchased with a mobile device. According to China Channel, over 90% of Chinese consumers have adopted WeChat as a method of payment in offline purchases. That compares with a 32% adoption rate for debit and credit cards.

Red Packets
WeChat has seen tremendous growth of its wallet by capitalizing on China’s tradition of gifting cash-filled red envelopes (known as hongbao). In fact, the volume of digital red packets sent has skyrocketed from 16 million to 14.2 billion in only three years.

Digital red packets

Digital Tip Jar
WeChat also offers a glimpse at a new avenue for content creators to monetize their hard work online. WeChat’s Tip Jar feature allows users to send micro-payments to writers, musicians, artists, and more.

Go Dutch
Splitting the bill in a busy restaurant or pub setting can be major hassle. “Go Dutch” is a feature that allows WeChat users to divvy up a bill and pay using the app. Features like Go Dutch make digital payments an appealing option because they solve a real world problem.

Third-Party Apps
WeChat has robust third-party integration within its wallet. Functionality is so deep that users can order anything from transportation to home cleaning services with the push of a button. China’s largest e-commerce, group buy, and ride hailing companies are already on these platforms, but Western brands like Starbucks are getting in on the action too.

Going Head-To-Head

The mobile payments sector is becoming increasingly binary as WeChat and AliPay dogfight for market share. AliPay – Ant Financial’s payment brand – was once the undisputed leader in mobile payments, but the company has recently seen its market share eroded by an increasingly scrappy WeChat. WeChat has smartly leveraged its popularity and massive user base to get people using it as a payment tool as well.

Market share of digital wallets

ApplePay, which had high hopes for the Chinese market, continues to lag far behind domestic brands.

Growing Pains for Digital Wallets

China’s central bank recently imposed tougher rules regarding scan-and-go payments, a move that Ant Financial and Tencent are publicly praising, but that may dampen the meteoric growth trajectory of mobile payments. The new regulations take aim at aggressive tactics used to capture market share from competitors, and set limits on how much consumers can spend daily using barcode-based payments.

Despite growing pains, mobile payments and digital wallets will continue to be a dominant part of the Chinese economy. The only question is, when will the rest of the world follow suit?

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Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

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Visualizing AI Patents by Country

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

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