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The World’s 200+ Unicorns, in One Giant Map

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Unicorns are privately held startups valued at over $1B. Map is plotted based on country of origin, not exact geographic location.
The World's 200+ Unicorns, in One Giant Map


The World’s 200+ Unicorns, in One Giant Map

Today’s infographic comes to us from cost information site HowMuch.net, and it shows the hundreds of unicorns around the world. The special “unicorn” moniker, of course, is reserved for privately-held startups that reach valuations of a billion dollars or more.

In this map, the startups are plotted plotted based on their country of origin, and not their physical geographic location (such as a specific city or state). Further, companies are organized also based on color, which represents the spectrum of sectors that these startups span across.

The Most Valuable Startups

Today, there are 214 unicorns worth a collective $744 billion – but that dollar value is distributed very unequally.

According to research firm CB Insights, the top 10 unicorns alone are worth $303.3 billion (41%), while the “bottom” 204 make up the remaining $440.7 billion (59%) of the pool.

RankUnicornCountryValuation ($B)% of Unicorn Total
#1UberUSA$689.1%
#2Didi ChuxingChina$506.7%
#3XiaomiChina$466.2%
#4AirbnbUSA$29.33.9%
#5SpaceXUSA$21.22.8%
#6Palantir TechnologiesUSA$202.7%
#7WeWorkUSA$202.7%
#8Lu.comChina$18.52.5%
#9China Internet Plus HoldingChina$182.4%
#10PinterestUSA$12.31.7%
Top 10 Total$303.340.8%
All Other 204 Unicorns$440.7059.2%

Known Unknowns

You’re probably very familiar with companies like Uber and Airbnb, but almost half of the companies on the Top 10 list are from China.

What do these companies do that make them more valuable than big names like Dropbox, Stripe, or Spotify?

Didi Chuxing – $50 billion
Didi Chuxing is China’s most popular ride-sharing service, providing transportation to 400 million users across over 400 cities in China. In 2016, they even acquired Uber’s China division, winning an epic “battle” between these two transportation startup giants.

Xiaomi – $46 billion
Xiaomi designs and sells consumer electronics products, and is currently the world’s fifth-largest smartphone maker. (We talked about how Xiaomi and other companies in China are shaking up global the smartphone market here.)

Lu.com – $18.5 billion
Lufax is the second-largest P2P lender in China, and is partially owned by Ping An Insurance Group. The company plans to aggressively target other areas of fintech, including wealth, credit, payments, insurance, and regulatory tech.

China Internet Plus Holding – $18 billion
Formed by a merger in 2015, and now doing business as Meituan-Dianping, this company has the world’s largest online and on-demand delivery platform, recently reaching up to 10 million daily orders and deliveries. Think of it as a combination Groupon and Yelp.

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

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.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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