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The 57 Startups That Became Unicorns in 2017

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Chart: The 57 Startups That Became Unicorns in 2017

57 New Unicorns in 2017

Collectively, they’re now worth $116.5B

The Chart of the Week is a weekly Visual Capitalist feature on Fridays.

For a startup, reaching the coveted $1 billion unicorn valuation is an important milestone – but as we’ve found out in recent years, it’s not necessarily a guarantee of future success.

In 2017, there were 57 startups that crossed the unicorn threshold, and they range from well-known companies, such as Reddit or Quora, to rapid-risers like China’s Toutiao (now valued at $20 billion), which has seemingly come out of nowhere.

Investors have conviction that these companies will provide the platforms and products of the future, and they are placing big bets on them to deliver.

Will they live up to the hype, or will they ultimately end up in the unicorn graveyard?

Unicorn Births by Year

With 57 new unicorns, this year ranks third overall in terms of births per year.

Year# of UnicornsNotable Unicorn Birth
20095BloomEnergy
20106Groupon
201115Airbnb
201213Pinterest
201320Uber
201462Slack
201581Vox Media
201643Compass
201757Reddit

While 57 unicorns in 2017 is still a high number, it’s also clear that the froth has died down from the unicorn bonanza that occurred in 2015.

Venture capitalists have clearly dialed it down a notch, re-focusing on the selective quality of investments rather than the overall quantity of big bets.

Notable Unicorns in 2017

Based on data from PitchBook, we’ve included the full list of unicorns in the chart today.

However, here are some that caught our eye:

Toutiao (China)
Valuation: $20 billion

Founded in 2012, Toutiao is the behemoth on this year’s new unicorn list. Based in Beijing, Toutiao is a news and information platform that focuses on recommendations using AI technology. The company pushes content to users based on previous user interactions as well as the detailed analysis of new content. The platform has 120 million active users and has also gone on a recent buying spree, acquiring names like Flipagram and Musical.ly.

Coinbase (United States)
Valuation: $1.6 billion

The cryptocurrency sector is exploding with growth, and Coinbase has been along for the ride since 2012. The most important crypto platform in the U.S. has such a strong influence in the sector, that the “Coinbase Effect” is now a talking point for traders everywhere. Whenever Coinbase introduces a cryptocurrency to its base of 10 million users, the added visibility and liquidity can make the price go bananas. It’s happened with Litecoin and Bitcoin Cash so far, and now every move by Coinbase is closely tracked by crypto power users and influencers.

Alisports (China)
Valuation: $1.0 billion

Alibaba’s foray into sports isn’t going unnoticed. In conjunction with Sina Corp (a Chinese telecom) and Yunfeng Capital Co (venture capital), Alibaba hopes that Alisports will carve out a huge chunk of the RMB 5 Trillion Chinese sports market. It’s also worth noting that Alisports sees e-sports as having huge potential, and as a central piece of its platform.

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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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