Technology
Visualizing the Unicorn Landscape in 2019
Visualizing the Unicorn Landscape in 2019
It was only six years ago that venture capitalist Aileen Lee coined the term “unicorn” to describe any privately-held startup worth $1 billion or more.
At the time, such valuations were so rare that they deserved a special name – but since then, it’s fair to say that the landscape has shifted dramatically. The startup boom intensified, and capital flowed into private companies at an unprecedented pace.
In recent times, unicorns have multiplied more like rabbits, and investors have propped up the combined value of the world’s 326 unicorns to the tune of $1.1 trillion.
Breaking down the World’s 326 Unicorns
Today’s chart uses data from the Unicorn Tracker created by CB Insights, and it breaks down the unicorn landscape by sector, valuation, and country.
Let’s start by looking at the biggest unicorns currently in existence:
Rank | Company | Valuation ($B) | Country | Sector |
---|---|---|---|---|
#1 | Toutiao (ByteDance) | $75 | China | Media |
#2 | Uber | $72 | United States | On-Demand |
#3 | Didi Chuxing | $56 | China | On-Demand |
#4 | WeWork | $47 | United States | Other |
#5 | JUUL Labs | $38 | United States | Other |
#6 | Airbnb | $29 | United States | eCommerce |
#7 | Stripe | $23 | United States | Fintech |
#8 | SpaceX | $19 | United States | Other |
#9 | Epic Games | $15 | United States | Other |
#10 | GrabTaxi | $14 | Singapore | On-Demand |
ByteDance is the world’s largest unicorn at a $75 billion valuation. The company owns Toutiao, a popular machine-learning enabled content platform in China that customizes feeds based on a user’s reading preferences. It also owns video sharing platform Tik Tok.
Experts are estimating that over 100 unicorns could IPO in 2019, including Uber and Airbnb from the above list.
So far this year, Lyft and Pinterest have already hit the public market – and another recent unicorn to IPO was conferencing platform Zoom Video, which has seen shares increase 120% in price since its impressive mid-April debut.
Unicorns by Sector
The two most common sectors for unicorns are Internet Software Services and E-commerce.
Sector | # of Unicorns | Valuation ($B) |
---|---|---|
Internet Software Services | 82 | $153 |
e-commerce | 44 | $129 |
Fintech | 32 | $94 |
Healthcare | 30 | $76 |
On Demand | 23 | $200 |
Hardware | 14 | $56 |
Data analytics | 12 | $27 |
Social | 11 | $27 |
Autotech | 11 | $23 |
Media | 8 | $89 |
Travel Tech | 7 | $11 |
Cybersecurity | 7 | $15 |
Other | 45 | $186 |
Total | 326 | $1,086 billion |
However, as you can see, the segment most valued by investors is On-Demand, which includes companies like Uber, Didi Chuxing, and DoorDash.
Unicorns by Geography
Nearly half of the world’s unicorns come from the U.S., but China also has an impressive roster of highly valued startups.
Country | # of Unicorns | % |
---|---|---|
USA | 156 | 47.9% |
China | 94 | 28.8% |
UK | 17 | 5.2% |
India | 13 | 4.0% |
Germany | 8 | 2.5% |
South Korea | 6 | 1.8% |
Rest of World | 32 | 9.8% |
Total | 326 |
Strangely, outside of the six major countries listed above, the rest of the world only combines for a measly 32 unicorns – less than 10% of the global total.
Unicorns by Valuation
Seven unicorns – including Uber, WeWork, Airbnb, and ByteDance – account for almost 30% of all of the value of the entire landscape.
Valuation Range | # of Unicorns | Value ($B) | % of Value |
---|---|---|---|
$20+ billion | 7 | $321 | 29.5% |
$10-20 billion | 13 | $151 | 13.9% |
$5-10 billion | 26 | $153 | 14.1% |
$1-5 billion | 280 | $461 | 42.5% |
 Total | 326 | $1,086 |
The bottom of the pyramid ($1-5 billion in valuation) holds 280 companies. Added together, they are worth $461 billion, which is equal to 42.5% of the unicorn total.
Technology
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.
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.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
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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