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Billion-Dollar Company Insights
Finance & Banking Analytics
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About
This dataset provides an overview of privately held startup companies valued at over $1 billion, commonly known as "Unicorns" [1]. The term was popularised by venture capitalist Aileen Lee [1]. This collection offers insights into the growth and characteristics of these high-value enterprises, serving as a valuable resource for understanding the venture capital landscape and startup ecosystem globally.
Columns
- Company: The official name of the unicorn startup [2].
- Valuation ($B): The reported valuation of the company, expressed in billions of US dollars [2].
- Date Joined: The specific date on which the company achieved its unicorn status [3].
- Country: The country where the unicorn startup is primarily based [3].
- City: The city within the country where the startup's headquarters are located [4].
- Industry: The primary industry sector in which the unicorn company operates [4].
- Investors: A list of notable investors involved with the startup [4].
Distribution
The dataset is provided in a CSV (Comma Separated Values) format, specifically named
unicorns till sep 2022.csv [2]. It has a file size of approximately 141.9 kB and consists of 7 distinct columns [2]. The dataset contains 1,186 records or rows, reflecting a significant collection of unicorn companies [2].Usage
This dataset is ideal for various applications, including:
- Market Trend Analysis: Identifying patterns and trends in global startup valuations and growth [1].
- Investment Strategy: Informing venture capitalists and investors about high-potential companies and emerging sectors [2, 4].
- Geographical Analysis: Understanding the distribution of unicorn companies across different countries and cities [3, 4].
- Industry Insights: Pinpointing leading industries that consistently produce billion-dollar startups [4].
- Academic Research: Supporting studies on entrepreneurship, economic development, and startup dynamics [1].
- Human Resources: Exploring market demands for highly skilled talent, reflecting the "unicorn" recruitment phenomenon in HR [1].
Coverage
- Geographic Scope: The dataset covers unicorn startups from 48 unique countries, with significant representation from the United States (54%) and China (15%) [3]. It also includes data for 286 unique cities, notably San Francisco (14%) and New York (9%) [4].
- Time Range: The data includes companies that became unicorns between 2nd July 2007 and 24th August 2022 [3]. The dataset itself covers unicorn information up to September 2022 [2].
- Industry Scope: Covers a wide array of industries, with prominent sectors including Fintech (20%) and Internet software & services (19%) [4].
License
CC0: Public Domain
Who Can Use It
- Venture Capitalists and Angel Investors: To identify prospective investment targets and analyse market entry points.
- Financial Analysts and Economists: For economic modelling, market sizing, and understanding capital flow in private markets.
- Business Strategists and Consultants: To inform corporate strategy, competitive analysis, and market expansion plans.
- Academic Researchers and Students: For academic studies on entrepreneurship, innovation, and global business ecosystems.
- Startup Founders and Entrepreneurs: To benchmark against successful startups, identify market gaps, and understand investor interests.
- HR Professionals and Recruiters: To gain insights into the talent demands of high-growth companies and manage recruitment expectations, especially in the context of seeking "unicorn" candidates [1].
Dataset Name Suggestions
- Global Unicorn Startups Data
- Billion-Dollar Company Insights
- Venture Capital Unicorn Tracker
- Startup Valuation Database
Attributes
Original Data Source: Billion-Dollar Company Insights
QUALITY