## Description of the dataset This dataset contains information about various funding projects in India. It includes details such as the project name, industry vertical, location, investor name, investment type, amount in USD, and remarks. The dataset is useful for analyzing funding trends, identifying key players in the funding ecosystem, and understanding the distribution of funds across different sectors and locations in India. ## Columns in the dataset 1. ` Serial No.`: A unique identifier for each funding project. 2. `Date`: The date when the funding was received. 3. `Startup Name`: The name of the funding project. 4. `Industry Vertical`: The sector in which the project falls (e.g., Education, Health, Agriculture, etc.). 5. `Sub Vertical`: A more specific category within the industry vertical. 6. `City Location`: The geographical location of the project (e.g., city, state). 7. `Investor Name`: The name of the organization or individual providing the funding. 8. `Investment Type`: The type of investment (e.g., privateEquity , seed funding, seed/ angel funding , others). 9. `Amount in USD`: The amount of funding received in USD. 10. `Remarks`: Additional comments or notes about the funding project. ## Usage This dataset can be used for various analyses, including but not limited to: - Identifying trends in funding across different sectors and locations. - Analyzing the impact of funding on project outcomes and beneficiary populations. - Comparing funding sources and their effectiveness in different contexts. - Visualizing the geographical distribution of funded projects in India. - Conducting time-series analysis of funding amounts over the years. What can new startups learn from this? 1. Bangalore dominates the ecosystem, accounting for over half (≈57%) of all Indian startups, followed by Mumbai and Gurgaon. This highlights its continued position as India’s innovation capital. 2. Private Equity funding contributes the largest share of total capital inflow — indicating that mature startups are securing substantial late-stage investments, while early-stage rounds (Seed, Series A) form a smaller slice. 3. E-commerce and Consumer Internet lead in total funding volume, showing that investors still favor digital-first, scalable business models over traditional sectors like Finance or Technology services. 4. Funding trends show volatility year-over-year, with significant peaks around 2017–2019, likely driven by large rounds in unicorns like Flipkart and Paytm, before slowing toward 2020. 5. Funding concentration is highly skewed — a handful of startups (Flipkart, Rapido, Paytm) capture a disproportionate share of total investments, suggesting a winner-takes-most pattern in India’s startup landscape.