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...

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

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.

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.

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...

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

Description

This dataset contains a list of new startups in India along with their incubation center, location, sector, and company profile. The dataset can be used to analyze the startup ecosystem in India and to identify trends and patterns in the industry.

Key Features

The incubation center column contains the name of the incubation center where the startup is located. An incubation center is a facility that provides resources and support to startups in their early stages of development.
The location column contains the city where the startup is located.
The sector column contains the industry sector that the startup operates in.
The company profile column contains a brief description of the startup and its products or services. The dataset has one file, Listofstartups.csv, with five columns and 238 rows.

Overview:

This dataset provides a comprehensive look into the financial expenditures and profits of 50 startups based in the United States. It is an invaluable resource for analysts, economists, and business strategists seeking to understand the correlation between different types of spending and profitability in startup ventures.

Attributes: 1. R&D Spend: - Description: The amount of money each company has invested in Research and Development activities. - Data Type: Numeric (US dollars) - Importance: Indicates the company's commitment to innovation and technological advancement. 2. Administration: - Description: Expenditure on administrative functions and operations. - Data Type: Numeric (US dollars) - Relevance: Reflects the overhead costs associated with managing the company. 3. Marketing Spend: - Description: Investment in marketing and promotional activities. - Data Type: Numeric (US dollars) - Significance: A key factor in revenue generation and market penetration. 4. State: - Description: The U.S. state where the company is operating. - Data Type: Categorical (California, New York, or Florida) - Purpose: Provides geographical context and allows for regional analysis. 5. Profit: - Description: The net profit earned by the company. - Data Type: Numeric (US dollars) - Utility: A direct measure of the company’s financial success.

Potential Uses: - Business Analysis: Understanding how different types of spending (R&D, administration, marketing) affect profitability. - Regional Studies: Examining the impact of geographical location on business success. - Startup Growth: Insights into the financial practices of successful startups. - Economic Research: Data-driven study of the startup ecosystem in the U.S.

Target Audience: - Business Analysts and Economists - Marketing Strategists - Startup Consultants - Data Science Enthusiasts - Academic Researchers

Conclusion: This dataset is a rich resource for anyone looking to delve into the financial dynamics of startups in the U.S. It offers a unique perspective on how different types of investments correlate with company success across various states.

Please note that the data is anonymized and does not include any confidential information about the companies listed. The dataset is intended for educational and research purposes.

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.

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.

Presents data on the number of enterprises registering and de-registering for VAT. The stock of VAT-registered enterprises is also included. Source agency: Business, Innovation and Skills Designation: National Statistics Language: English Alternative title: Business start-ups and closures

In 2023, less than **** percent of the population between 18 and 34 years were involved in setting up or running and owning a new business in Norway. This was lower than in neighboring Sweden. By comparison, ***** percent of the population between ** and ** did the same, around the same as in Sweden.

Business Start ups by Ethnicity (%) - BME *This indicator has been discontinued

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.

The Business Dynamics Statistics (BDS) is a public use data set providing annual aggregate measures of establishment openings and closings, firm startups and shutdowns, and job creation and destruction. These measures are available for the entire economy, and by industrial sector, 3-digit and 4-digit NAICS, state, MSA, and county. They are also available by firm and establishment size and age. For more information about the dataset see: https://www.census.gov/programs-surveys/bds.html

Iran IR: Cost of Business Start-Up Procedures: % of GNI per Capita data was reported at 1.400 % in 2017. This records an increase from the previous number of 1.200 % for 2016. Iran IR: Cost of Business Start-Up Procedures: % of GNI per Capita data is updated yearly, averaging 3.900 % from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 7.300 % in 2004 and a record low of 1.200 % in 2016. Iran IR: 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 Iran – Table IR.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.

As of the second quarter of 2025, there were ***** startups in Italy operating in the sector of business services, the most common industry among Italian startups. In addition, ***** start-ups were specialized in manufacturing, energy, and mining.

In Europe, the share of the adult population involved in the early stage of a start-up varied between 14 percent in the United Kingdom and *********** in Poland. The total early-stage entrepreneurial activity (TEA) rate is defined as the prevalence rate of individuals in the working age population who are actively involved in business startups, either in the phase in advance of the birth of the firm (nascent entrepreneurs), or the phase spanning 42 months after the birth of the firm (owner managers of new firms).