Success.ai’s Startup Data for Global Tech Startups offers a comprehensive and reliable dataset tailored for businesses, investors, and organizations seeking to connect with tech startups worldwide. Covering emerging companies in software, AI, fintech, health tech, and other innovation-driven industries, this dataset provides detailed funding insights, firmographic data, and verified contact details for decision-makers.

With access to continuously updated, AI-validated data from over 700 million global profiles, Success.ai ensures your outreach, partnership development, and investment strategies are powered by accuracy and relevance. Backed by our Best Price Guarantee, this solution is designed to help you thrive in the competitive global startup ecosystem.

Why Choose Success.ai’s Startup Data?

1. Verified Contact Data for Precision Outreach

   • Access verified contact details, including work emails and phone numbers, for startup founders, CEOs, and key decision-makers.
   • AI-driven validation ensures 99% accuracy, reducing errors and improving engagement outcomes.

2. Comprehensive Global Coverage

   • Includes tech startups from major hubs such as Silicon Valley, Europe’s fintech capitals, Asia’s innovation centers, and beyond.
   • Gain insights into startup operations, growth trajectories, and funding patterns across diverse regions.

3. Continuously Updated Datasets

   • Real-time updates capture changes in startup funding rounds, leadership roles, and business expansions.
   • Stay informed on emerging opportunities in the fast-evolving global startup landscape.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access comprehensive startup data for tech companies and professionals worldwide.
• Funding Insights: Understand investment rounds, funding amounts, and venture capital backing for tech startups.
• Firmographic Data: Gain details on company size, industry focus, business locations, and market presence.
• Decision-maker Profiles: Connect with founders, executives, and leadership teams driving innovation in global startups.

Key Features of the Dataset:

1. Comprehensive Startup Profiles

   • Identify and connect with tech startups specializing in AI, SaaS, fintech, health tech, e-commerce, and more.
   • Target decision-makers responsible for product innovation, market expansion, and fundraising strategies.

2. Advanced Filters for Precision Campaigns

   • Filter startups by funding stage (seed, Series A, Series B+), industry focus, or geographic location.
   • Tailor campaigns to align with specific business needs, such as partnership opportunities or technology solutions.

3. Regional and Industry-specific Insights

   • Leverage data on startup trends, funding activity, and market demands to refine strategies.
   • Align outreach efforts with high-growth sectors and regional opportunities in tech innovation.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Investor Relations and Partnership Development

   • Build relationships with startups seeking venture capital, strategic investments, or market partnerships.
   • Foster collaborations that enhance innovation, accelerate growth, or enter new markets.

2. Marketing Campaigns and Outreach

   • Promote technology solutions, consulting services, or operational tools tailored to the unique needs of startups.
   • Use verified contact data for targeted multi-channel outreach, including email, phone, and LinkedIn.

3. Market Research and Competitive Analysis

   • Analyze global startup trends, funding dynamics, and innovation hotspots to refine product development and marketing strategies.
   • Benchmark against competitors to identify high-demand solutions and underserved markets.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in tech startups seeking candidates for engineering, product management, or growth roles.
   • Provide workforce optimization platforms or talent development solutions tailored to startups.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality startup data at competitive prices, ensuring strong ROI for your marketing, sales, and investment initiatives.

2. Seamless Integration

   • Integrate verified startup data into CRM systems, analytics tools, or marketing platforms via APIs or downloadable formats, streamlining workflows and enhancing productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost engagement rates in startup-focused campaigns.

4. Customizabl...

A comprehensive dataset of small business statistics for 2025, including startup trends, business growth rates, employment contributions, failure rates, financing patterns, industry performance, economic impact, and challenges faced by small business owners.

In the first quarter of 2024, 322,000 new businesses were formed in the United States. This is a slight decrease from the previous quarter, when 327,000 new businesses were formed. In the second quarter of 2020, new business starts experienced a dip to 227,000, but have picked up quickly in subsequent quarters.

Techsalerator’s Business Funding Data for Finland

Techsalerator’s Business Funding Data for Finland provides a comprehensive and insightful overview of crucial information for businesses, investors, and financial analysts. This dataset offers an in-depth analysis of the funding activities of companies across various sectors in Finland, capturing and categorizing data related to their funding rounds, investment sources, and financial milestones.

If you need the full dataset, reach out to us at info@techsalerator.com or https://www.techsalerator.com/contact-us.

Techsalerator’s Business Funding Data for Finland

Techsalerator’s Business Funding Data for Finland presents a detailed and insightful overview of essential information for businesses, investors, and financial analysts. This dataset delivers an in-depth examination of funding activities across various sectors in Finland, detailing data related to funding rounds, investment sources, and key financial milestones.

Top 5 Key Data Fields

1. Company Name: Identifies the company receiving funding. This information helps investors spot potential opportunities and allows analysts to track funding trends within specific industries.

2. Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts provides insights into the financial health and growth potential of businesses and the scale of investment activities.

3. Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors assess a business’s maturity and growth trajectory.

4. Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps gauge the credibility of the funding source and their strategic interests.

5. Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Finland

1. Technology and Innovation: Finland's technology sector is seeing significant investments, particularly in areas such as artificial intelligence, cybersecurity, and fintech. These investments drive innovation and enhance Finland’s position as a tech hub.

2. Clean Energy and Sustainability: Investments are flowing into clean energy projects, including wind, solar, and bioenergy. These initiatives support Finland's commitment to sustainability and reducing its carbon footprint.

3. Healthcare and Biotech: Increased funding is directed towards healthcare infrastructure, biotechnology research, and health tech innovations, aiming to improve medical services and drive advancements in healthcare.

4. Education and Edtech: Funding is being allocated to educational initiatives and edtech startups focused on enhancing learning experiences, digital education tools, and expanding access to quality education.

5. Smart Cities and Infrastructure: Investments in smart city projects and infrastructure development are growing, with a focus on urban planning, digital infrastructure, and improving city living standards.

Top 5 Companies with Notable Funding Data in Finland

1. Supercell: Known for its successful mobile games, Supercell has attracted substantial funding to expand its game development and international market presence.

2. Rovio Entertainment: The company behind the Angry Birds franchise has received notable investment to develop new games and expand its digital entertainment offerings.

3. Wärtsilä: A global leader in smart technologies and complete lifecycle solutions for the marine and energy markets, Wärtsilä has secured funding for innovations in energy efficiency and marine technology.

4. KONE: Specializing in elevators and escalators, KONE has garnered significant investment to enhance its technology and expand its global reach.

5. Valmet: A provider of technologies and services for the pulp, paper, and energy industries, Valmet has received funding to drive advancements in industrial processes and sustainability initiatives.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Finland, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Company Name
• Funding Amount
• Funding Round
• Investor Name
• Investment Date
• Funding Type (Equity, Debt, Grants, etc.)
• Sector Focus
• Deal Structure
• Investment Stage
• Contact Information

For detailed insights into funding activities and financial trends in Finland, Techsalerator’s dataset is an invaluable resource for investors, business analysts, and financial professionals seeking informed, strategic decisions.

In 2023, San Francisco Bay, CA had the highest total startup score of any city in the United States at ******. The total startup score is a sum of quantity, quality, and business environment evaluations that determines the best place for startup businesses to take root. New York City, NY had the second highest score at ****** in 2023.

Syria SY: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male data was reported at 7.900 % in 2017. This records a decrease from the previous number of 8.900 % for 2016. Syria SY: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male data is updated yearly, averaging 18.200 % from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 55.700 % in 2007 and a record low of 7.900 % in 2017. Syria SY: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Syrian Arab Republic – Table SY.World Bank.WDI: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

This DataSet to track the latest trends, we’ve compiled small business and startup statistics to better understand what makes a startup tick. If you’re looking to build a startup or just interested in diving into the numbers, check out these informative statistics on success, failure, funding and more before getting started.

Objective The objective of the project is to predict whether a startup which is currently operating turn into a success or a failure. The success of a company is defined as the event that gives the company's founders a large sum of money through the process of M&A (Merger and Acquisition) or an IPO (Initial Public Offering). A company would be considered as failed if it had to be shutdown.

This problem will be solved through a Supervised Machine Learning approach by training a model based on the history of startups which were either acquired or closed. The trained model will then be used to make predictions on startups which are currently operating to determine their success/failure.

Do an EDA and try to predict which startups and in which field achieve great success! https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F9770082%2Fd1cc4e53157d2f3f0a9f661b6f2cd28f%2FGroup%202215.jpg?generation=1674420531095211&alt=media" alt="">

You will have to answer the following questions: - How Many New Businesses Fail ? - How Many New Businesses Secsees ? - Reasons for Failing - How to Avoid Failing And many other questions...

In 2023, London had approximately **** business startups per 10,000 population, by far the most of any city in the UK in that year, with Slough having the second-highest at **** startups per 10,000 people.

This timeline measures entrepreneurialism in the United States by showing the number of businesses that were less than one year old and still in their start-up phase, from March 1994 to March 2023. In March 2023, there were around 1.05 million businesses that were less than 1 year old, a slight decrease from the year prior, when the number was around 1.07 million.

As December 2024, over 1** thousand startups had been officially recognized by the Department for Promotion of Industry and Internal Trade (DPIIT). India’s startup economy has been growing since 2016 with businesses mushrooming rapidly across the country. To support and sustain its growth, the Indian government launched the Startup India initiative. Business environment in India India’s economy comprises of a vast number of businesses that are predominantly micro enterprises, with more than half of them based in rural areas. The Indian government defines a startup as an entity less than ten years old with an annual turnover under *** billion Indian rupees and headquartered in India. Owing to a host of funding deals and investment schemes, startups in India have spread across several key sectors primarily those of technology and ecommerce. Leading startup sectors and unicorns E-commerce, enterprise tech, and fintech remained the top-performing sectors in 2024. The bright spot in the year was deeptech which received increased investor interest with more funding deals than the preceding year.

This statistic shows the number of jobs that were created in the United States through businesses that were less than one year old from March 1994 to March 2023. In 2023, there were more than 3.7 million new jobs created through start-up businesses, more than the year prior.

United States US: Start-Up Procedures to Register a Business data was reported at 6.000 Number in 2017. This stayed constant from the previous number of 6.000 Number for 2016. United States US: Start-Up Procedures to Register a Business data is updated yearly, averaging 6.000 Number from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 6.000 Number in 2017 and a record low of 6.000 Number in 2017. United States US: Start-Up Procedures to Register a Business data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

According to the survey carried out among start-up owners, the main reasons why their businesses did not work out was a lack of financing, with nearly **** of the start-ups giving this as the main reason for their business failure. Moreover, the COVID-19 pandemic played a role in one third of business failures. There is rarely one reason behind a company going bankrupt, it is rather a mixture of several issues, as reflected in the many reasons stated by the respondents.

This dataset contains information about businesses built on SaaS products, scraped from acquire.com. It includes the following features:

date: The date on which the business is listed askingPrice: The asking price of the business revenueMultiple: The revenue multiple at which the business is being sold listingHeadline: The headline of the listing on acquire.com listingType: The type of listing (e.g., sale, acquisition, investment) totalRevenueAnnual: The total annual revenue of the business totalProfitAnnual: The total annual profit of the business totalGrowthAnnual: The total annual growth rate of the business location: The location of the business dateFounded: The date on which the business was founded team: The number of employees in the business about: A brief description of the business revenue: The monthly revenue of the business customers: The number of customers the business has keywords: A list of keywords that describe the business annualProfit: The annual profit of the business growthAnnual: The annual growth rate of the business techStack: The technology stack that the business uses businessModel: The business model of the business competitors: A list of the business's competitors weeklyViews: The number of views the listing on acquire.com has received in the past week

Laos LA: Cost of Business Start-Up Procedures: % of GNI per Capita data was reported at 3.500 % in 2017. This records a decrease from the previous number of 4.600 % for 2016. Laos LA: Cost of Business Start-Up Procedures: % of GNI per Capita data is updated yearly, averaging 8.900 % from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 23.900 % in 2003 and a record low of 3.500 % in 2017. Laos LA: Cost of Business Start-Up Procedures: % of GNI per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

This paper shows that employment in cohorts of US firms is strongly influenced by aggregate conditions at the time of their entry. Employment fluctuations of startups are procyclical, they persist into later years, and cohort-level employment variations are largely driven by differences in firm size, rather than the number of firms. An estimated general equilibrium firm dynamics model reveals that aggregate conditions at birth, rather than post-entry choices, drive the majority of cohort-level employment variation by affecting the share of startups with high growth potential. In the aggregate, changes in startup conditions result in large, slow-moving fluctuations in employment.

Techsalerator’s Business Funding Data for Saudi Arabia

Techsalerator’s Business Funding Data for Saudi Arabia provides a comprehensive and detailed collection of information crucial for businesses, investors, and financial analysts. This dataset offers an in-depth analysis of the funding activities of companies across various sectors in Saudi Arabia, capturing and categorizing data related to their funding rounds, investment sources, and financial milestones.

If you need the full dataset, reach out to us at info@techsalerator.com or visit https://www.techsalerator.com/contact-us.

Techsalerator’s Business Funding Data for Saudi Arabia

Techsalerator’s Business Funding Data for Saudi Arabia offers a thorough and insightful overview essential for businesses, investors, and financial analysts. This dataset examines funding activities across diverse sectors in Saudi Arabia, detailing data on funding rounds, investment sources, and key financial milestones.

Top 5 Key Data Fields

Company Name: Identifies the company receiving funding. This information helps investors spot potential opportunities and allows analysts to track funding trends within specific industries.

Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts reveals insights into the financial health and growth potential of businesses and the scale of investment activities.

Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors assess a business’s maturity and growth trajectory.

Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps gauge the credibility of the funding source and their strategic interests.

Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Saudi Arabia

Renewable Energy: Significant investments are being directed towards renewable energy projects, including solar and wind energy. These investments are crucial for Saudi Arabia’s Vision 2030 and its goals for sustainable development.

Technology and Innovation: There is a strong focus on funding technology startups and innovation hubs, particularly in fintech, artificial intelligence, and cybersecurity, reflecting the country’s drive towards becoming a tech-driven economy.

Healthcare and Biotechnology: Increased funding is flowing into healthcare infrastructure, biotechnology, and health tech to address the healthcare needs of the population and support medical advancements.

Real Estate and Urban Development: Investments are being made in large-scale real estate and urban development projects, aligning with the country’s goals to diversify its economy and improve living standards.

Education and Talent Development: Funding is being allocated to educational initiatives and programs aimed at enhancing skills and creating job opportunities, supporting the country’s aim to build a knowledge-based economy.

Top 5 Companies with Notable Funding Data in Saudi Arabia

STC Group: As a leading telecommunications provider, STC Group has secured substantial funding to expand its network and enhance its digital services.

Saudi Aramco: The state-owned oil giant has received significant investment for diversification projects, including investments in renewable energy and technology.

NEOM: The futuristic city project NEOM has attracted considerable funding to support its development and innovative urban planning.

Al Habtoor Group: This conglomerate has garnered funding to expand its real estate and hospitality ventures within Saudi Arabia and beyond.

Tahaluf Al Emarat Technical Solutions: This tech company has received funding to advance its technology solutions and contribute to Saudi Arabia’s tech ecosystem.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Saudi Arabia, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

Company Name Funding Amount Funding Round Investor Name Investment Date Funding Type (Equity, Debt, Grants, etc.) Sector Focus Deal Structure Investment Stage Contact Information For detailed insights into funding activities and financial trends in Saudi Arabia, Techsalerator’s dataset is an invaluable resource for investors, business analysts, and financial professionals seeking informed, strategic decisions.

Business Startups - (YTD) *This indicator has been discontinued

The Federated Startup Innovation and Entrepreneurship Dataset is a synthetic dataset designed to simulate real-world entrepreneurial ecosystems where organizations such as incubators, accelerators, and corporate innovation labs collect data about startups. This dataset is privacy-preserving and federated-learning-ready, making it ideal for research in:

Startup success prediction

Entrepreneurship decision-making

Federated learning (FL) model development

Vertical Federated Learning (VFL) simulations

Dragonfly Algorithm-driven Attention-based Deep Neural Networks (DFA-Attn-DeepNet)

Key Features Org_ID: Simulates multiple institutions for federated learning setups.

Startup attributes: Team size, idea type, previous funding, mentorship hours, and incubation period.

Performance indicators: Business model score, market interest index, and pitch competition results.

Target Variable: Startup_Success (0 = Not Successful, 1 = Successful).

Highlights Designed for privacy-preserving AI research without sharing sensitive data.

Supports federated and vertical learning experiments.

Useful for AI-driven entrepreneurship analytics and startup ecosystem modeling.

Explore the rise and fall of 483 startups with this detailed dataset, sourced from CB Insights' "Startup Failure Post-Mortem" compilation (last updated May 29, 2024). This dataset catalogs failed ventures across diverse industries, offering insights into their names, operational sectors, and years of activity—from founding to shutdown. Spanning over three decades (1992–2024), it captures the volatile world of innovation, from dot-com busts to modern tech flops.

Columns: - Name: The startup’s name. - Sector: Industry classification (all "Information" here, NAICS 51). - Years of Operation: Lifespan in years, with founding and shutdown years (e.g., "3 (2010-2013)"). - What They Did: Brief overview of the startup’s product or service. - How Much They Raised: Funding amount in millions ($M) or tied to parent totals (e.g., "$1.7B (Dropbox)"). - Why They Failed: Reason the startup ceased or faded as a standalone entity. - Takeaway: Key lesson derived from the failure. - Giants: 1 if lost to tech giants (e.g., Google, Amazon), 0 if not. - No Budget: 1 if ran out of cash or was underfunded, 0 if not. - Competition: 1 if outpaced by direct rivals (not just giants), 0 if not. - Poor Market Fit: 1 if product lacked demand or user interest, 0 if not. - Acquisition Stagnation: 1 if stagnated or faded after acquisition, 0 if not. - Platform Dependency: 1 if overly reliant on another platform (e.g., Twitter), 0 if not. - Monetization Failure: 1 if couldn’t turn users into revenue, 0 if not. - Niche Limits: 1 if too niche to scale broadly, 0 if not. - Execution Flaws: 1 if mismanagement or tech failures contributed, 0 if not. - Trend Shifts: 1 if market or user trends shifted away, 0 if not. - Toxicity/Trust Issues: 1 if user toxicity or trust breaches hurt, 0 if not. - Regulatory Pressure: 1 if legal or regulatory issues forced closure, 0 if not. - Overhype: 1 if hype exceeded deliverable results, 0 if not.

Uncover the secrets of business failures with this comprehensive dataset. Data analysts, entrepreneurs, and researchers can: pinpoint failure causes (e.g., 92 cases attributed to 'Giants'), analyze funding's impact on success, and visualize company lifespans. Explore why giants like Google contributed to 57% of failures, or why 29% collapsed after acquisition. Whether you need industry-specific failure counts, lifespan visualizations, or historical trend analysis, this dataset provides valuable post-mortem insights for strategic decision-making.

Source: CB Insights - Startup Failure Post-Mortem

License: This dataset is derived from publicly available data on CB Insights’ site; please review their terms for usage. Compiled and structured for research purposes.

Let’s learn from the ashes of ambition—happy analyzing!