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These 8 Pivots by Startups Changed the World

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These 8 Pivots by Startups Changed the World

These 8 Pivots by Startups Changed the World

How do successful companies get built? Is there a predetermined formula or ideal circumstances to get off on the right foot as an entrepreneur?

When it comes to the technology world, the truth is that the most successful companies come in all shapes and sizes. Once in a while, strategy and its execution go as planned – but more often than not, a company must change its entire basis to get its best shot at winning.

In the startup world, this is called a “pivot”. It’s a risky change of direction that could end up as a game-changing success or a resolute failure. Circumstances can change fast to prompt such a desperation move. With technological progress growing at an exponential rate, in many tech-focused businesses such pivots can even be the norm.

There are many reasons a company may shake up its strategy. Maybe the customer response isn’t what was expected, or perhaps intuition suggests that a product could be used another way with a few modifications. Sometimes a mentor or friend may have a different vision on how something can be used, and other times a competitor can apply pressure to an early-stage startup by offering a similar or better product.

I know something about pivots myself, as this website (Visual Capitalist) is the result of a few of them. We first started as a marketing consultancy, and then we gambled at the idea of using infographics to supplement the press releases of microcap public companies. Neither of those really were effective, but we still loved the idea of explaining the business and investment world with rich visuals – and eventually Visual Capitalist was born.

Similarly, many other companies that we cherish would not exist without these types of strategic pivots. Twitter, Paypal, Nintendo, and many others were born under completely different circumstances than we know them today. Nintendo built vacuum cleaners and made instant rice until they thought the video game industry could be an interesting market. Nokia, which in the late 2000s was one of the biggest mobile phone makers by market share, used to have a Finnish paper mill and manufacture rubber goods in its early stages.

Today’s infographic looks at eight of the startup pivots that have changed the world.

Original graphic by: WhoisHostingThis?

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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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