90 datasets found
  1. Business Funding Data in North America ( Techsalerator)

    • datarade.ai
    Updated Jul 8, 2024
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    Techsalerator (2024). Business Funding Data in North America ( Techsalerator) [Dataset]. https://datarade.ai/data-products/business-funding-data-in-north-america-techsalerator-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 8, 2024
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Canada, El Salvador, Belize, Saint Pierre and Miquelon, Costa Rica, United States of America, Nicaragua, Honduras, Bermuda, Panama, North America
    Description

    Techsalerator’s Business Funding Data for North America is an extensive and insightful resource designed for businesses, investors, and financial analysts who need a deep understanding of the Asian funding landscape. This dataset meticulously captures and categorizes critical information about the funding activities of companies across the continent, providing valuable insights into the financial health and investment trends within various sectors.

    What the Dataset Includes: Funding Rounds: Detailed records of funding rounds for companies in North America, including the size of the round, the date it occurred, and the stages of investment (Seed, Series A, Series B, etc.).

    Investment Sources: Information on the sources of investment, such as venture capital firms, private equity investors, angel investors, and corporate investors.

    Financial Milestones: Key financial achievements and benchmarks reached by companies, including valuation increases, revenue milestones, and profitability metrics.

    Sector-Specific Data: Insights into how different sectors are performing, with data segmented by industry verticals such as technology, healthcare, finance, and consumer goods.

    Geographic Breakdown: An overview of funding trends and activities specific to each North America country, allowing users to identify regional patterns and opportunities.

    EU Countries Included in the Dataset: Antigua and Barbuda Bahamas Barbados Belize Canada Costa Rica Cuba Dominica Dominican Republic El Salvador Grenada Guatemala Haiti Honduras Jamaica Mexico Nicaragua Panama Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Trinidad and Tobago United States

    Benefits of the Dataset: Informed Decision-Making: Investors and analysts can use the data to make well-informed investment decisions by understanding funding trends and financial health across different regions and sectors. Strategic Planning: Businesses can leverage the insights to identify potential investors, benchmark against industry peers, and plan their funding strategies effectively. Market Analysis: The dataset helps in analyzing market dynamics, identifying emerging sectors, and spotting investment opportunities across North America. Techsalerator’s Business Funding Data for North America is a vital tool for anyone involved in the financial and investment sectors, offering a granular view of the funding landscape and enabling more strategic and data-driven decisions.

    This description provides a more detailed view of what the dataset offers and highlights the relevance and benefits for various stakeholders.

  2. f

    Business Grants Database

    • freestartupfunding.com
    Updated Aug 7, 2025
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    Free Startup Funding (2025). Business Grants Database [Dataset]. https://freestartupfunding.com/business-grants
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    Dataset updated
    Aug 7, 2025
    Dataset provided by
    Free Startup Funding
    Description

    Comprehensive database of government and private grants for startups and small businesses

  3. Top 100 SaaS Companies/Startups 2025

    • kaggle.com
    Updated May 29, 2025
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    Shreyas Dasari (2025). Top 100 SaaS Companies/Startups 2025 [Dataset]. https://www.kaggle.com/datasets/shreyasdasari7/top-100-saas-companiesstartups
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 29, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shreyas Dasari
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides comprehensive, up-to-date information about the top 100 Software-as-a-Service (SaaS) companies globally as of 2025. It includes detailed financial metrics, company fundamentals, and operational data that are crucial for market research, competitive analysis, investment decisions, and academic studies.

    Key Features

    • 100 leading SaaS companies across various industries
    • 11 comprehensive data points per company
    • Current 2025 data including latest valuations and ARR figures
    • Verified information from multiple reliable sources
    • Clean, analysis-ready format with consistent data structure

    Use Cases

    1. Market Research: Analyze SaaS industry trends and market dynamics
    2. Investment Analysis: Evaluate growth patterns and valuation multiples
    3. Competitive Intelligence: Benchmark companies within sectors
    4. Academic Research: Study business models and growth strategies
    5. Data Science Projects: Build predictive models for SaaS metrics
    6. Business Strategy: Identify successful patterns in SaaS businesses

    Industries Covered

    Enterprise Software (CRM, ERP, HR) Developer Tools & DevOps Cybersecurity Data Analytics & Business Intelligence Marketing & Sales Technology Financial Technology Communication & Collaboration E-commerce Platforms Design & Creative Tools Infrastructure & Cloud Services

    Why This Dataset? The SaaS industry has grown to over $300 billion globally, with companies achieving unprecedented valuations and growth rates. This dataset captures the current state of the industry leaders, providing insights into what makes successful SaaS companies tick.

    Sources/Proof of Data: Data Sources The data has been meticulously compiled from multiple authoritative sources:

    Company Financial Reports (Q4 2024 - Q1 2025)

    Official earnings releases and investor relations documents SEC filings for public companies

    Investment Databases

    Crunchbase, PitchBook, and CB Insights for funding data Venture capital and private equity announcements

    Market Research Reports

    Gartner, Forrester, and IDC industry analyses SaaS Capital Index and valuation reports

    Industry Publications

    TechCrunch, Forbes, Wall Street Journal coverage Company press releases and official announcements

    Product Review Platforms

    G2 Crowd ratings and reviews Capterra and GetApp user feedback

    Data Verification

    Cross-referenced across multiple sources for accuracy Updated with latest available information as of May 2025 Validated against official company statements where available

  4. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Togo, Montserrat, Dominican Republic, Guam, United Kingdom, Korea (Democratic People's Republic of), Antigua and Barbuda, Iceland, Georgia, Suriname
    Description

    Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

    Key Features of Success.ai's Company Financial Data:

    Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

    Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

    Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

    Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

    Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

    Why Choose Success.ai for Company Financial Data?

    Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

    AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

    Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

    Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

    Comprehensive Use Cases for Financial Data:

    1. Strategic Financial Planning:

    Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

    1. Mergers and Acquisitions (M&A):

    Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

    1. Investment Analysis:

    Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

    1. Lead Generation and Sales:

    Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

    1. Market Research:

    Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

    APIs to Power Your Financial Strategies:

    Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

    Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

    Tailored Solutions for Industry Professionals:

    Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

    Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

    Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

    Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

    What Sets Success.ai Apart?

    Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

    Ethical Practices: Our data collection and processing methods are fully comp...

  5. Business Funding Data in Oceania ( Techsalerator)

    • datarade.ai
    Updated Jul 8, 2024
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    Techsalerator (2024). Business Funding Data in Oceania ( Techsalerator) [Dataset]. https://datarade.ai/data-products/business-funding-data-in-oceania-techsalerator-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 8, 2024
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Papua New Guinea, Marshall Islands, Norfolk Island, French Polynesia, Northern Mariana Islands, Tonga, Micronesia (Federated States of), Kiribati, Tokelau, Australia
    Description

    Techsalerator’s Business Funding Data for Oceania is an extensive and insightful resource designed for businesses, investors, and financial analysts who need a deep understanding of the Oceania funding landscape. This dataset meticulously captures and categorizes critical information about the funding activities of companies across the continent, providing valuable insights into the financial health and investment trends within various sectors.

    What the Dataset Includes: Funding Rounds: Detailed records of funding rounds for companies in Oceania, including the size of the round, the date it occurred, and the stages of investment (Seed, Series A, Series B, etc.).

    Investment Sources: Information on the sources of investment, such as venture capital firms, private equity investors, angel investors, and corporate investors.

    Financial Milestones: Key financial achievements and benchmarks reached by companies, including valuation increases, revenue milestones, and profitability metrics.

    Sector-Specific Data: Insights into how different sectors are performing, with data segmented by industry verticals such as technology, healthcare, finance, and consumer goods.

    Geographic Breakdown: An overview of funding trends and activities specific to each Oceania country, allowing users to identify regional patterns and opportunities.

    Oceania Countries Included in the Dataset: Australia Fiji Kiribati Marshall Islands Micronesia (Federated States of) Nauru New Zealand Palau Papua New Guinea Samoa Solomon Islands Tonga Tuvalu Vanuatu Benefits of the Dataset: Informed Decision-Making: Investors and analysts can use the data to make well-informed investment decisions by understanding funding trends and financial health across different regions and sectors. Strategic Planning: Businesses can leverage the insights to identify potential investors, benchmark against industry peers, and plan their funding strategies effectively. Market Analysis: The dataset helps in analyzing market dynamics, identifying emerging sectors, and spotting investment opportunities across Oceania. Techsalerator’s Business Funding Data for Oceania is a vital tool for anyone involved in the financial and investment sectors, offering a granular view of the funding landscape and enabling more strategic and data-driven decisions.

    This description provides a more detailed view of what the dataset offers and highlights the relevance and benefits for various stakeholders.

  6. Mutual fund Dataset

    • kaggle.com
    Updated Sep 18, 2024
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    Alok Pandey (2024). Mutual fund Dataset [Dataset]. https://www.kaggle.com/datasets/aloktantrik/mutual-fund-nav-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2024
    Dataset provided by
    Kaggle
    Authors
    Alok Pandey
    License

    https://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/

    Description

    Mutual Fund Dataset

    Table of Contents

    1. Introduction
    2. Dataset Overview
    3. Data Fields Description
    4. Usage Guidelines
    5. Handling Missing or Anomalous Data
    6. Conclusion

    Introduction

    The Mutual Fund Dataset provides key information about various mutual fund schemes managed by multiple Asset Management Companies (AMCs). The dataset includes critical details such as fund ratings, returns across different time periods, NAV (Net Asset Value), and minimum investment requirements. Additionally, the dataset also contains information about the fund managers responsible for managing the portfolios.

    This data can be particularly valuable for financial analysts, individual investors, and researchers seeking to evaluate the performance and characteristics of different mutual funds.

    Dataset Overview

    The dataset comprises the following major categories:

    • AMC (Asset Management Company): The institution managing the mutual fund.
    • Fund Ratings: Ratings from reputable organizations like Morningstar and Value Research.
    • Returns: Historical performance of mutual funds over 1 month, 1 year, and 3 years.
    • NAV (Net Asset Value): The per-unit price of the mutual fund.
    • Investment Requirements: Information on the minimum investment needed to participate in a fund.
    • Fund Manager: Details of the person responsible for managing the fund’s investment strategy.

    Data Fields Description

    Column NameDescription
    AMCName of the Asset Management Company (e.g., 'Aditya Birla Sun Life Mutual Fund', 'ICICI Prudential Mutual Fund').
    Fund NameThe specific name of the mutual fund scheme. This field may have some missing data.
    Morning Star RatingThe star rating provided by Morningstar, evaluating the fund's historical performance.
    Value Research RatingThe rating assigned by Value Research, another trusted source for evaluating mutual funds.
    1 Month ReturnThe return on investment (%) for the mutual fund over the last month.
    NAV (Net Asset Value)The value per unit of the mutual fund, calculated as the market value of all assets minus liabilities, divided by the number of outstanding units.
    1 Year ReturnThe return on investment (%) for the mutual fund over the last year.
    3 Year ReturnThe return on investment (%) for the mutual fund over the last three years.
    Minimum InvestmentThe minimum amount required to invest in the mutual fund (e.g., Rs.100, Rs.500).
    Fund ManagerThe name of the fund manager in charge of the mutual fund's strategy (e.g., 'Abhishek Bisen').

    Usage Guidelines

    This dataset can be used for:

    1. Comparative Analysis: Investors and analysts can compare mutual funds based on their returns, minimum investment requirements, and ratings from reputed agencies like Morningstar and Value Research.

    2. Investment Strategy: The dataset can help in identifying high-performing funds based on past returns and other key factors, assisting in portfolio diversification or fund selection.

    3. Financial Research: Researchers can analyze trends across the mutual fund industry, assess risk versus reward, or develop prediction models based on fund performance data.

    Handling Missing or Anomalous Data

    • Missing Data: Some columns, such as Fund Name, may have missing or incomplete data. Consider filtering out rows with insufficient data based on your use case.

    • NA Values: Fields such as Morning Star Rating, Value Research Rating, and Fund Manager may contain 'NA' values, indicating unavailability or lack of a rating for certain funds.

    • Other Category: Some columns include data points marked as "Other" to represent a collective...

  7. Company Financial Data | North American Enterprises | Revenue, Funding,...

    • data.success.ai
    Updated Dec 17, 2024
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    Success.ai (2024). Company Financial Data | North American Enterprises | Revenue, Funding, Ownership & Contact Info | Best Price Guarantee [Dataset]. https://data.success.ai/?page=17
    Explore at:
    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Area covered
    Saint Pierre and Miquelon, United States, Nicaragua, Canada, Bermuda, Guatemala, Greenland, Panama, Mexico, Costa Rica
    Description

    Access company-level financial data for North American firms. Includes revenue, funding rounds, ownership details, and executive contacts. Ideal for investment and sales intelligence.

  8. t

    Creator Economy Startups Database

    • theinformation.com
    csv
    Updated Jun 28, 2021
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    The Information (2021). Creator Economy Startups Database [Dataset]. https://www.theinformation.com/projects/creator-economy-database
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 28, 2021
    Dataset authored and provided by
    The Information
    Time period covered
    2021 - Present
    Area covered
    Worldwide
    Dataset funded by
    The Information
    Description

    What contender will emerge as the next big creator economy company? To find out, we've built a database of more than 500 global startups serving the millions of individuals making money off their online followings. Many founders see an opportunity to help creators connect with fans. Others have developed artificial intelligent tools or financial management services for creators. U.S. creator startups have raised more than $9.8 billion since early 2021, and creator startups based outside the U.S. have raised more than $4 billion in that period. The database comes from our reporting, founders and investors, and estimates from PitchBook.

  9. Corporate Actions Market Data Israel Techsalerator

    • kaggle.com
    Updated Aug 22, 2023
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    Techsalerator (2023). Corporate Actions Market Data Israel Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/corporate-actions-market-data-israel-techsalerator
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 22, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Israel
    Description

    Techsalerator's Corporate Actions Dataset in Israel offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 473 companies traded on the Tel-Aviv Stock Exchange (XTAE).

    Top 5 used data fields in the Corporate Actions Dataset for Israel:

    • Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

    • Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

    • Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

    • Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

    • Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

    Top 5 corporate actions in Israel:

    Technology and Startups: Corporate actions in Israel's renowned technology sector, including mergers, acquisitions, and initial public offerings (IPOs), are crucial for the country's innovation ecosystem and its reputation as the "Startup Nation."

    Healthcare and Life Sciences: Corporate actions related to pharmaceuticals, medical research, and healthcare startups contribute to Israel's reputation as a hub for medical innovation and cutting-edge research.

    Cybersecurity and Defense Technology: Corporate actions in the cybersecurity and defense technology sectors reflect Israel's expertise in developing advanced cybersecurity solutions and defense systems.

    Renewable Energy and Cleantech: Corporate actions related to renewable energy projects and cleantech initiatives align with Israel's efforts to develop sustainable energy sources and address environmental challenges.

    Financial Services and Fintech: Corporate actions involving financial technology (fintech) startups, digital payment solutions, and blockchain technology contribute to Israel's financial services sector's modernization.

    Top 5 financial instruments with corporate action Data in Israel

    Israel Stock Exchange (ISE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Israel Stock Exchange. This index would provide insights into the performance of the Israeli stock market.

    Israel Stock Exchange (ISE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Israel Stock Exchange, if foreign listings were present. This index would give an overview of foreign business involvement in Israel.

    SuperMart Israel: An Israel-based supermarket chain with operations in multiple regions. SuperMart focuses on providing essential products to local communities and contributing to the retail sector's growth.

    FinanceIsrael: A financial services provider in Israel with a focus on promoting financial inclusion and access to banking services, particularly among underserved communities.

    AgriTech Israel: A company dedicated to advancing agricultural technology in Israel, focusing on optimizing crop yields and improving food security to support the country's agricultural sector.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Israel, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    Data fields included:

    Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

    Q&A:

    How much does the Corporate Actions Dataset cost in Israel?

    The cost of the Corporate Actions Dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    How complete is the Corporate Actions Dataset coverage in Israel ?

    Techsalerator provides comprehensive coverage of Corporate Actions Data for various companies and...

  10. Types of funding reported by research articles using internal documents from...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    L. Susan Wieland; Lainie Rutkow; S. Swaroop Vedula; Christopher N. Kaufmann; Lori M. Rosman; Claire Twose; Nirosha Mahendraratnam; Kay Dickersin (2023). Types of funding reported by research articles using internal documents from different types of companies (n = 361articles). [Dataset]. http://doi.org/10.1371/journal.pone.0094709.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    L. Susan Wieland; Lainie Rutkow; S. Swaroop Vedula; Christopher N. Kaufmann; Lori M. Rosman; Claire Twose; Nirosha Mahendraratnam; Kay Dickersin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    1The totals in this column equal the number of articles reporting a particular type of funding, minus instances of duplicate classification by type of company within funding category. These instances were: There was no information on funding for the article classified as both manufacturing and mining, and non-profit, non-governmental funding was used by the articles classified as both tobacco and transportation and both tobacco and alcohol. The overall column total is greater than the total number of included articles (N = 361) because some articles reported multiple types of funding.2Other funding sources include Blue Cross Blue Shield (4 tobacco articles), the World Health Organization (2 tobacco articles), and funding from a law firm (1 manufacturing article).3The totals in this row equal the total number of articles reporting funding for each type of company, minus instances where articles reported multiple types of funding, of which there are too many to list. The totals for the columns are therefore not equal to the sum of the classifications within the columns. The overall row total is greater than the total number of included articles (N = 361) because three articles were classified with two types of companies.

  11. Central Bank Co-funding System - Monthly Statistics of Clearing Business...

    • data.gov.tw
    csv
    Updated Jul 30, 2025
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    Central Bank of the Republic of China(Taiwan) (2025). Central Bank Co-funding System - Monthly Statistics of Clearing Business Transaction Amount [Dataset]. https://data.gov.tw/en/datasets/25136
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Central Bank of the Republic of Chinahttp://cbc.gov.tw/
    Authors
    Central Bank of the Republic of China(Taiwan)
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Settlement funds related to the financial markets cleared through the central bank and the capital settlement system

  12. u

    Business Plan Statistics and Trends 2025

    • upmetrics.co
    webpage
    Updated Jun 5, 2025
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    Upmetrics (2025). Business Plan Statistics and Trends 2025 [Dataset]. https://upmetrics.co/blog/business-plan-statistics
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    webpageAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Upmetrics
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Description

    This dataset provides comprehensive statistics and insights on the impact of business planning, funding success rates, software market growth, exit strategies, and gender-based disparities in entrepreneurship. It explores how strategic business plans influence funding, growth, and operational success, supported by key metrics and global trends projected through 2032.

  13. t

    Venture Capital Investment Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 10, 2025
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    The Business Research Company (2025). Venture Capital Investment Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/venture-capital-investment-global-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    Global Venture Capital Investment market size is expected to reach $764.78 billion by 2029 at 20.4%, segmented as by funding type, first-time venture funding, follow-on venture funding

  14. t

    Top 50 Most Promising Startups of 2024

    • theinformation.com
    csv
    Updated Oct 24, 2024
    + more versions
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    The Information (2024). Top 50 Most Promising Startups of 2024 [Dataset]. https://www.theinformation.com/projects/the-information-50-2024
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 24, 2024
    Dataset authored and provided by
    The Information
    Time period covered
    2024
    Area covered
    Worldwide
    Dataset funded by
    The Information
    Description

    The Information selected 50 companies across six sectors to be on our list of the most promising private tech startups in 2024. We believe these companies have the potential to be the most valuable businesses in their categories based on their current revenue, business model, and growth prospects. To build the list, The Information reporters consulted an array of industry sources and gathered previously undisclosed business and financial information. We limited the list to companies that had raised less than $100 million in venture capital or began operations within the last three years. And we excluded companies that are already “unicorns,” or worth more than $1 billion on paper.

  15. I

    Indonesia Sharia Venture Capital Company: Funding received: Funding Received...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Indonesia Sharia Venture Capital Company: Funding received: Funding Received from Domestic: Funding Received from Bank [Dataset]. https://www.ceicdata.com/en/indonesia/multifinance-company-sharia-venture-capital-company-balance-sheet/sharia-venture-capital-company-funding-received-funding-received-from-domestic-funding-received-from-bank
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2022 - Apr 1, 2023
    Area covered
    Indonesia
    Description

    Indonesia Sharia Venture Capital Company: Funding received: Funding Received from Domestic: Funding Received from Bank data was reported at 429.427 IDR bn in Apr 2023. This records a decrease from the previous number of 455.199 IDR bn for Mar 2023. Indonesia Sharia Venture Capital Company: Funding received: Funding Received from Domestic: Funding Received from Bank data is updated monthly, averaging 242.051 IDR bn from Jan 2018 (Median) to Apr 2023, with 64 observations. The data reached an all-time high of 2,215.111 IDR bn in Dec 2022 and a record low of 15.735 IDR bn in Feb 2021. Indonesia Sharia Venture Capital Company: Funding received: Funding Received from Domestic: Funding Received from Bank data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Banking Sector – Table ID.KBB030: Multifinance Company: Sharia Venture Capital Company: Balance Sheet.

  16. Financial Data Service Providers in the US - Market Research Report...

    • ibisworld.com
    Updated Jan 15, 2025
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    IBISWorld (2025). Financial Data Service Providers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/financial-data-service-providers/5491/
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Financial data service providers offer financial market data and related services, primarily real-time feeds, portfolio analytics, research, pricing and valuation data, to financial institutions, traders and investors. Companies aggregate data and content from stock exchange feeds, broker and dealer desks and regulatory filings to distribute financial news and business information to the investment community. Recent globalization of the world capital market has benefited the financial sector and increased trading speed. Businesses rely on real-time data more than ever to help them make informed decisions. When considering a data service provider, an easy-to-use interface that shows customized, relevant information is vital for clients. During times of economic uncertainty, this information becomes more crucial than ever. Clients want information as soon and as frequently as possible, causing providers to prioritize efficiency and delivery. This was evident during the pandemic, the high interest rate environment in the latter part of the period and as the Fed cuts rates in 2024. Increased automation has helped industry players process large volumes of financial data, reducing analysis and reporting times. In addition, automation has reduced operational costs and reduced human data errors. These trends have resulted in growing revenue, which has risen at a CAGR of 3.2% to $21.9 billion over the past five years, including a 3.5% uptick in 2024 alone. Corporate profit will continue to expand as inflationary concerns begin to wane slowly. This will lead many companies to take on new clients as financial data helps them gain insight into operating their business amid ongoing trends and economic shakeups. With technology constantly advancing, service providers will continue investing in research and development to improve their products and services and best serve their clients. As technological advances continue, smaller players will be able to better compete with larger industry players. While this may lead to new companies joining the industry, larger providers will resume consolidation activity to expand their customer base. Overall, revenue is expected to swell at a CAGR of 2.7% to $25.0 billion by the end of 2029.

  17. d

    Coresignal | Clean Data | Company Data | AI-Enriched Datasets | Global /...

    • datarade.ai
    .json, .csv
    + more versions
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    Coresignal, Coresignal | Clean Data | Company Data | AI-Enriched Datasets | Global / 35M+ Records / Updated Weekly [Dataset]. https://datarade.ai/data-products/coresignal-clean-data-company-data-ai-enriched-datasets-coresignal
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    .json, .csvAvailable download formats
    Dataset authored and provided by
    Coresignal
    Area covered
    Guatemala, Guinea-Bissau, Namibia, Hungary, Chile, Guadeloupe, Niue, Panama, Saint Barthélemy, Andorra
    Description

    This clean dataset is a refined version of our company datasets, consisting of 35M+ data records.

    It’s an excellent data solution for companies with limited data engineering capabilities and those who want to reduce their time to value. You get filtered, cleaned, unified, and standardized B2B data. After cleaning, this data is also enriched by leveraging a carefully instructed large language model (LLM).

    AI-powered data enrichment offers more accurate information in key data fields, such as company descriptions. It also produces over 20 additional data points that are very valuable to B2B businesses. Enhancing and highlighting the most important information in web data contributes to quicker time to value, making data processing much faster and easier.

    For your convenience, you can choose from multiple data formats (Parquet, JSON, JSONL, or CSV) and select suitable delivery frequency (quarterly, monthly, or weekly).

    Coresignal is a leading public business data provider in the web data sphere with an extensive focus on firmographic data and public employee profiles. More than 3B data records in different categories enable companies to build data-driven products and generate actionable insights. Coresignal is exceptional in terms of data freshness, with 890M+ records updated monthly for unprecedented accuracy and relevance.

  18. d

    Financial Committee_Financial Company Governance Information

    • data.go.kr
    json+xml
    Updated Jul 17, 2025
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    (2025). Financial Committee_Financial Company Governance Information [Dataset]. https://www.data.go.kr/en/data/15059593/openapi.do
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    json+xmlAvailable download formats
    Dataset updated
    Jul 17, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    Financial company governance information is data that provides information on the governance of financial companies based on the base date and corporate registration number. This data consists of four operations, each of which includes the following information: 1. Financial company shareholder information: shareholder name, relationship with largest shareholder, type of stock, percentage of shares, etc. 2. CEO information: name of CEO, whether registered executive, whether full-time, job responsibilities, main career, expiration date of term, etc. 3. Executive compensation status: total compensation, average amount, number of people, and notes for registered directors, outside directors, auditors, etc. 4. Executive information: executive name, position, gender, length of service, job responsibilities, career, number of shares held, etc.

  19. I

    Indonesia Sharia Venture Capital Company: Funding received / Long Term Loans...

    • ceicdata.com
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    CEICdata.com, Indonesia Sharia Venture Capital Company: Funding received / Long Term Loans [Dataset]. https://www.ceicdata.com/en/indonesia/multifinance-company-sharia-venture-capital-company-balance-sheet/sharia-venture-capital-company-funding-received--long-term-loans
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2022 - Apr 1, 2023
    Area covered
    Indonesia
    Description

    Indonesia Sharia Venture Capital Company: Funding received / Long Term Loans data was reported at 2,953.176 IDR bn in Apr 2023. This records a decrease from the previous number of 3,018.623 IDR bn for Mar 2023. Indonesia Sharia Venture Capital Company: Funding received / Long Term Loans data is updated monthly, averaging 560.305 IDR bn from Jan 2014 (Median) to Apr 2023, with 112 observations. The data reached an all-time high of 3,018.623 IDR bn in Mar 2023 and a record low of 176.360 IDR bn in Jan 2014. Indonesia Sharia Venture Capital Company: Funding received / Long Term Loans data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Banking Sector – Table ID.KBB030: Multifinance Company: Sharia Venture Capital Company: Balance Sheet.

  20. Financial Metrics Dataset of US companies

    • zenodo.org
    bin
    Updated Jan 24, 2020
    + more versions
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    Sotiris Diplaris Vasiliki Gkatziaki; Sotiris Diplaris Vasiliki Gkatziaki (2020). Financial Metrics Dataset of US companies [Dataset]. http://doi.org/10.5281/zenodo.2561750
    Explore at:
    binAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sotiris Diplaris Vasiliki Gkatziaki; Sotiris Diplaris Vasiliki Gkatziaki
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Financial Metrics Dataset of US companies obtained from 10-K filings (in XBRL format) from SEC. The dataset contains financial metric answers for 9,263 US companies and in total 800,714 metric answers related to 28 financial metrics.

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Techsalerator (2024). Business Funding Data in North America ( Techsalerator) [Dataset]. https://datarade.ai/data-products/business-funding-data-in-north-america-techsalerator-techsalerator
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Business Funding Data in North America ( Techsalerator)

Explore at:
.json, .csv, .xls, .txtAvailable download formats
Dataset updated
Jul 8, 2024
Dataset provided by
Techsalerator LLC
Authors
Techsalerator
Area covered
Canada, El Salvador, Belize, Saint Pierre and Miquelon, Costa Rica, United States of America, Nicaragua, Honduras, Bermuda, Panama, North America
Description

Techsalerator’s Business Funding Data for North America is an extensive and insightful resource designed for businesses, investors, and financial analysts who need a deep understanding of the Asian funding landscape. This dataset meticulously captures and categorizes critical information about the funding activities of companies across the continent, providing valuable insights into the financial health and investment trends within various sectors.

What the Dataset Includes: Funding Rounds: Detailed records of funding rounds for companies in North America, including the size of the round, the date it occurred, and the stages of investment (Seed, Series A, Series B, etc.).

Investment Sources: Information on the sources of investment, such as venture capital firms, private equity investors, angel investors, and corporate investors.

Financial Milestones: Key financial achievements and benchmarks reached by companies, including valuation increases, revenue milestones, and profitability metrics.

Sector-Specific Data: Insights into how different sectors are performing, with data segmented by industry verticals such as technology, healthcare, finance, and consumer goods.

Geographic Breakdown: An overview of funding trends and activities specific to each North America country, allowing users to identify regional patterns and opportunities.

EU Countries Included in the Dataset: Antigua and Barbuda Bahamas Barbados Belize Canada Costa Rica Cuba Dominica Dominican Republic El Salvador Grenada Guatemala Haiti Honduras Jamaica Mexico Nicaragua Panama Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Trinidad and Tobago United States

Benefits of the Dataset: Informed Decision-Making: Investors and analysts can use the data to make well-informed investment decisions by understanding funding trends and financial health across different regions and sectors. Strategic Planning: Businesses can leverage the insights to identify potential investors, benchmark against industry peers, and plan their funding strategies effectively. Market Analysis: The dataset helps in analyzing market dynamics, identifying emerging sectors, and spotting investment opportunities across North America. Techsalerator’s Business Funding Data for North America is a vital tool for anyone involved in the financial and investment sectors, offering a granular view of the funding landscape and enabling more strategic and data-driven decisions.

This description provides a more detailed view of what the dataset offers and highlights the relevance and benefits for various stakeholders.

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