Technology

What Happens in an Internet Minute in 2016?

Published

8 years ago

April 25, 2016

Jeff Desjardins

Last week, we published U.S. consumption numbers in real-time, highlighting the speed at which physical goods and services are purchased.

Today, we enter into the digital realm to see what happens every minute on the internet. The statistics are mind-boggling and put in perspective how scalable platforms have taken over the world:

What Happens in an Internet Minute in 2016?

The above infographic shows how truly important the element of scale is to business today.

Google literally processes 2.4 million searches every minute. In that same span of time, 700,000 people login to Facebook and Amazon sells over $200,000 of physical and digital goods.

Platforms such as the ones listed above are comparable in magnitude to other mega-sized companies, but without the intense capital expenditures, debt, or hard costs. That’s why Alphabet, Google’s parent company, can spend over a billion dollars each year on “moonshots”, and why Facebook’s stock is up 35.6% over the last 52 weeks.

Here are the full stats on what happens every internet minute:

701,389 logins on Facebook
69,444 hours watched on Netflix
150 million emails sent
1,389 Uber rides
527,760 photos shared on Snapchat
51,000 app downloads on Apple’s App Store
$203,596 in sales on Amazon.com
120+ new Linkedin accounts
347,222 tweets on Twitter
28,194 new posts to Instagram
38,052 hours of music listened to on Spotify
1.04 million vine loops
2.4 million search queries on Google
972,222 Tinder swipes
2.78 million video views on Youtube
20.8 million messages on WhatsApp

That’s a lot of data every minute, and this volume of information is part of the reason that these same companies are prioritizing the ability to process and interpret big data more than ever before.

Original graphic by: Excelacom

Related Topics:google Twitter technology facebook netflix alphabet internet minute

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Technology

Visualizing AI Patents by Country

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

Published

1 day ago

April 24, 2024

Marcus Lu

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.

Year	China	EU and UK	U.S.	RoW	Global Total
2010	307	137	984	571	1,999
2011	516	129	980	581	2,206
2012	926	112	950	660	2,648
2013	1,035	91	970	627	2,723
2014	1,278	97	1,078	667	3,120
2015	1,721	110	1,135	539	3,505
2016	1,621	128	1,298	714	3,761
2017	2,428	144	1,489	1,075	5,136
2018	4,741	155	1,674	1,574	8,144
2019	9,530	322	3,211	2,720	15,783
2020	13,071	406	5,441	4,455	23,373
2021	21,907	623	8,219	7,519	38,268
2022	35,315	1,173	12,077	13,699	62,264

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.