What is Startup Data? Examples & Datasets to Buy in 2025
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Startup Data?
Startup data is collected from various sources to gain insight into the operations, performance, and growth of a startup company. This data is crucial identifying VC investment opportunities and optimizing strategies to drive the success of a startup.
What Are Examples of Startup Data?
Examples of startup data include datasets offering insights into early-stage businesses and entrepreneurial ecosystems. Key examples include:
- Founding Date: Date the startup was established.
- Founders and Team: Names and backgrounds of founders and key team members.
- Funding Rounds: Details on seed, Series A, B, etc., funding stages.
- Revenue Projections: Estimated revenue growth and financial forecasts.
- Market Size: Data on target market potential and opportunity.
- Competitive Landscape: Analysis of competitors and differentiators.
- Customer Segments: Target customer profiles and personas.
Best Startup Databases, Datasets & API
The best startup datasets provide actionable insights into funding, growth, and entrepreneurial trends. This curated list features the top datasets and APIs, selected for accuracy, quality, and trusted providers where you can buy startup data.
Global Startup Database 2025 | List of Startups | Best Startup Database | 300K Startup Companies Worldwide | Real-time Verified Data
Startup Data | Startup Founders Worldwide Contact Data | Verified Profiles with Work Emails & Phone Numbers | Best Price Guaranteed
Startup Data | Technology Startups Worldwide | Verified Profiles & Insights | Best Price Guaranteed
Company Data, Startup Data | Scrape publicly available Company Datasets | Global B2B company Datasets 2024 | Best Startup Database
Startup Data | Global Tech Startups | Business Locations, Funding Insights & Decision-makers | Best Price Guarantee
Startup Data | 249 Countries Coverage | +95% Email and Phone Data Accuracy | Bi-weekly Refresh Rate | 50+ Data Points
Global CEO & Startup Contact Data | Verified & Bi-Weekly Updates
Crunchbase Companies List | Crunchbase Company Database | Crunchbase Startups List | 3Million+ Records
Coresignal | Company Data | Startup Data | API & Flat file | Global / 165K+ Founder & 102M+ Company Records From Last 2 Years / Updated Monthly
Indian Startup Data of over 3700 Companies
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Top Startup Data Providers & Companies
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Xverum
CoverageUSAUK+248VXverum provides our company employees, companies, and jobs datasets + API refresh service. We’re getting the most accurate raw data with the best refresh rate within the industry. Xverum team escort is professional technical & customer-facing.
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Forager.ai
CoverageUSAUK+248VWe use Forager to enrich our contact data with email addresses and mobile phone numbers. Additionally, we leverage Forager to source net-new contacts at our target accounts. After analyzing all the data providers we use, we found Forager to deliver the best overall data quality. We are highly satisfied with the results Forager consistently provides.
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Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
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Coresignal
CoverageUSAUK+247VCoresignal has strong demographic and firmographic datasets both on quality and volume while keeping the data as fresh as it can be. We've been using Coresignal for years and we can only speak highly about the product and team behind it. Highly recommended.
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Lead for Business
CoverageUSAUK+248MGreat people to work with! Quick and easy transactions, and data has been very accurate. Data is easy to import into CRM, and feedback has been great! They are helping take my business to the next level! Will be using them again!
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Canaria Inc.
CoverageUSAUK+248VAs an AI-focused nonprofit, we've found Canaria Inc. to be an invaluable partner in understanding job market trends. Their comprehensive datasets, sourced responsibly from platforms like Indeed and LinkedIn, coupled with their advanced AI and NLP processing (this enables us to get additional insights which are not natively available in the source such as predicted salary, seniority level etc.), provide unmatched insights into the labor market. Their high deduplication rates ensure the accuracy and utility of the data, essential for our strategic planning and analysis. Canaria's tailored pricing and client-centric approach make them a top recommendation for any organization needing detailed labor market analytics.
Popular Use Cases for Startup Data
Startup data is essential for investors, analysts, and ecosystem builders. It is widely used for investment scouting, helping investors identify promising startups based on funding history and growth metrics. It supports market analysis, providing insights into industry trends and startup innovation, just to mention a few use cases.
Market Research and Analysis
Startup data can be utilized for market research and analysis purposes. By analyzing data related to startups, investors and entrepreneurs can gain valuable insights into market trends, emerging industries, and potential investment opportunities. This use case involves examining data on funding rounds, industry sectors, geographical locations, and success rates of startups to make informed decisions and identify market gaps.
Competitive Intelligence
Startup data can also be leveraged for competitive intelligence. By analyzing data on competitor startups, businesses can gain a better understanding of their strengths, weaknesses, and strategies. This use case involves examining data on funding, product offerings, customer acquisition, and market positioning of competing startups to identify areas for improvement and develop effective strategies to stay ahead in the market.
Partnership and Collaboration Opportunities
Startup data can serve as a valuable resource for identifying potential partnership and collaboration opportunities. By analyzing data on startups operating in complementary or related industries, businesses can identify potential synergies and explore collaboration possibilities. This use case involves examining data on industry sectors, product offerings, and growth trajectories of startups to identify suitable partners for joint ventures, strategic alliances, or co-development initiatives.
Main Attributes of Startup Data
Possible attributes of startup data include company name, industry sector, founding date, location, funding rounds, investment amount, investor names, company valuation, revenue, number of employees, key executives, product/service description, market analysis, customer demographics, user acquisition channels, marketing strategies, growth metrics, user engagement metrics, user retention metrics, user churn rate, customer satisfaction, customer feedback, competitive analysis, partnerships, legal status, intellectual property, patents, trademarks, and social media presence. Here’s a table of the main attributes you might find in startup datasets:
- Company Name: The name of the startup.
- Industry: The industry or sector in which the startup operates.
- Founding Date: The date when the startup was founded.
- Location: The physical location of the startup’s headquarters.
- Funding Stage: The stage of funding the startup is currently at (e.g., seed, series A, series B).
- Funding Amount: The amount of funding the startup has raised.
- Investors: The names of the investors who have funded the startup.
- Team Size: The number of employees or team members in the startup.
- Product/Service: A description of the startup’s product or service.
- Market Size: The estimated size of the target market for the startup’s product or service.
- Competitive Advantage: The unique advantage or differentiation that sets the startup apart from competitors.
- Growth Potential: The potential for the startup to scale and grow in the future.
- Revenue Model: The business model or strategy the startup uses to generate revenue.
- Key Metrics: The key performance indicators or metrics the startup tracks to measure success.
Startup data attributes, like the ones outlined below, can be filtered to fit your specific requirements. Discover the right database tailored to your needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 76 datasets | |
| String | The industry classification of a company. | View 69 datasets | |
| String | The LinkedIn profile of a company. | View 68 datasets | |
| String | The approx. number of employees working for a company. | View 67 datasets | |
| String | The name of a country. | View 64 datasets | |
| String | The first name of a contact. | View 57 datasets |
How are Startup Data products priced?
Startup datasets are typically priced based on various factors such as the size and quality of the dataset, the level of exclusivity or uniqueness it offers, and the potential value it can provide to potential buyers. Pricing can also be influenced by the industry or niche the startup operates in, as well as the demand for the specific type of data. Startups may offer different pricing tiers or packages to cater to different customer needs and budgets.
Additionally, factors like data updates, support, and additional services may also be considered in determining the pricing structure.
Overall, the pricing of startup datasets is a dynamic process that takes into account multiple factors to ensure a fair value exchange between the startup and its customers.
Frequently Asked Questions
How is the Quality of Startup Data Maintained?
The quality of Startup Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Startup Data Updated?
The update frequency for Startup Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Startup Data Secure?
The security of Startup Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Startup Data Delivered?
Startup Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Startup Data.
How Much Does Startup Data Cost?
The cost of Startup Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Startup Data for your needs.
What Are Similar Data Types to Startup Data?
Startup Data is similar to other data types, such as Company Registry Data, Private Company Data, Company Funding Data, SIC Data, and Regulatory Company Data. These related categories are often used together for applications like Company Valuation and Venture Capital (VC).
