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Indian Startup Funding Data
Data Science and Analytics
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About
This dataset provides detailed information on the top 300 startups in India, covering the period from 1984 to 2022. It offers valuable insights into the Indian startup ecosystem, including company details, founding information, industrial domains, employee numbers, and funding specifics. The dataset serves as a resource for understanding the landscape of new businesses that aim for significant growth and impact, acknowledging the inherent uncertainties and high rates of failure, alongside the stories of those that achieve success.
Columns
- Company: The name of the startup.
- City: The city where the startup was initially established.
- Starting Year: The year in which the startup began its operations.
- Founders: The names of the individuals who founded the startup.
- Industries: The industrial domain or sector to which the startup belongs.
- Description: A summary of what the company does.
- No. of Employees: The total number of employees working for the startup.
- Funding Amount in USD: The total amount of funding received by the startup, expressed in US Dollars.
- Funding Rounds: The number of times a startup has sought and secured additional capital from the market. This reflects the process of trading equity for capital to advance the company.
- No. of Investors: The total number of investors involved with the startup.
Distribution
The dataset contains information on 300 unique startups. A notable portion of these companies originated in Bengaluru (41%) and Mumbai (18%). The starting years of these startups range from 1984 to 2020, with a significant concentration of new ventures emerging between 2009 and 2016. Regarding industrial domains, E-Learning, EdTech, and Education (2%), along with Financial Services (1%), are represented, with a wide array of other industries making up the majority. The number of employees varies, with 21% of startups having 101-250 employees and 15% having 11-50 employees. Funding amounts range up to $24.8 billion, with a large number of startups falling into the lower funding tiers. The number of funding rounds also shows a distribution, with many companies undergoing multiple rounds to secure capital.
Usage
This dataset is ideal for:
- Data Science and Analytics: Performing statistical analysis, identifying trends, and building predictive models related to startup success or failure.
- Finance and Investing: Analysing investment patterns, funding rounds, and the financial health of startups.
- Data Visualisation: Creating charts and dashboards to illustrate the growth, distribution, and characteristics of the Indian startup ecosystem.
- Natural Language Processing (NLP): Analysing company descriptions and industry categories for insights into business models and market niches.
- Clustering: Grouping similar startups based on various attributes like industry, funding, or employee size.
- Entrepreneurship Research: Understanding scalable business models and the factors contributing to startup growth and influence.
Coverage
- Geographic Scope: Focuses exclusively on India, with specific data on cities of origin.
- Time Range: Covers startups founded between 1984 and 2022.
- Demographic/Scope: Encompasses the top 300 startups in India, providing insights into their founders, industrial domains, and employee sizes.
License
CCO
Who Can Use It
- Entrepreneurs: To understand business models, market trends, and competitive landscapes in India.
- Investors and Venture Capitalists: For market research, due diligence, and identifying potential investment opportunities.
- Researchers and Academics: To study startup ecosystems, economic development, and entrepreneurial trends in emerging markets.
- Data Analysts and Scientists: For various analytical projects, model development, and data exploration.
- Government Agencies and Policy Makers: To inform policies supporting innovation and startup growth.
Dataset Name Suggestions
- Indian Startup Ecosystem 1984-2022
- Top 300 Indian Startups
- India Venture Capital Insights
- Historical Indian Business Ventures
- Indian Startup Funding Data
Attributes
Original Data Source: Indian startups
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