Technology

Google Makes Four Predictions About Black Friday Shoppers

Published

7 years ago

November 24, 2016

Jeff Desjardins

Google Makes Four Predictions About Black Friday Shoppers

Thanksgiving weekend is here, and it kickstarts a holiday shopping season in which consumers are expected to spend a hefty $655.8 billion.

And while massive amounts of store foot traffic is nothing new, the way consumers search and shop on their mobile devices is a relatively new phenomenon. In fact, 76% of people who search for nearby products on their smartphones end up visiting brick-and-mortar businesses within a day.

The folks at Think With Google have crunched the numbers to see if there is any interesting correlations between mobile searches and location data. Their findings are below, and it may be interesting to compare their predictions to your own family’s activities this weekend.

Google’s Predictions

1. Even though foot traffic peaks at 6pm on Thanksgiving day to kick off early Black Friday deals, the shopping actually starts much earlier. Mobile searches happen throughout the day for deals, and 59% of them happen before stores even open.

2. On Black Friday itself, foot traffic peaks between 12pm and 4pm, but mobile searches remain very constant throughout the day. Peak time for mobile searches is at 8pm, which seems a little counterintuitive.

3. New Englanders are the most hardcore Black Friday shoppers. By 10am on Black Friday, more than one-quarter of New England shoppers have already visited a store. The rest of the country lags behind by about an hour.

4. Women buy early and often, and men wait until the last minute. During the whole holiday season, women buy twice as much as men. It’s only the week before Christmas that men are more likely to complete holiday purchases.

Related Topics:google retail black friday shoppers thanksgiving

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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

23 hours 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.