Visualizing the Unicorn Landscape in 2019 - Visual Capitalist
Connect with us


Visualizing the Unicorn Landscape in 2019



Unicorn infographic

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:

RankCompanyValuation ($B)CountrySector
#1Toutiao (ByteDance)$75ChinaMedia
#2Uber$72United StatesOn-Demand
#3Didi Chuxing$56ChinaOn-Demand
#4WeWork$47United StatesOther
#5JUUL Labs$38United StatesOther
#6Airbnb$29United StateseCommerce
#7Stripe$23United StatesFintech
#8SpaceX$19United StatesOther
#9Epic Games$15United StatesOther
Note: data is current as of May 3, 2019

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 UnicornsValuation ($B)
Internet Software Services82$153
On Demand23$200
Data analytics12$27
Travel Tech7$11
Total326$1,086 billion
Note: data is current as of March 2019

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%
South Korea61.8%
Rest of World329.8%
Note: data is current as of March 2019

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 UnicornsValue ($B)% of Value
$20+ billion7$32129.5%
$10-20 billion13$15113.9%
$5-10 billion26$15314.1%
$1-5 billion280$46142.5%
Note: data is current as of March 2019

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.

Subscribe to Visual Capitalist
Click for Comments


Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.



Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

Continue Reading