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...

Companies in Hong Kong with Parent Companies Located outside Hong Kong - Report on Annual Survey of Companies in Hong Kong with Parent Companies Located outside Hong Kong [Report]

In terms of deals over the past five years, artificial intelligence and big data was the largest VC-funded startup industry in 2022, accounting for close to ** percent of the global deals. Meanwhile, fintech accounted for ** percent of the deals, with life sciences and health care behind with ** percent. Blue economy and digital media were the smallest industries with only *** percent each. However, the blue economy saw its funding deals almost ******** over the past five years.

This dataset consists of state and industry wise number of startups that gained DPIIT's recognition since inception in 2016.

Note: According to DPIIT‚ As per the Manual for Procurement of Consultancy and other services, an entity should not have completed ten years from the date of its incorporation/registration and its turnover for any of the financial years since incorporation/registration should not have exceeded one hundred crore rupees to get recognized as startup by the department. This recognition is necessary to avail the benefits under various schemes and seek assistance of the government.

B2B Company data encompasses vital information about businesses, including company name, industry, employees, revenue, website, and more. It provides valuable insights for market analysis, competitive intelligence, and strategic decision-making. Startup data, on the other hand, focuses specifically on emerging businesses, offering crucial details such as funding rounds, founder information, growth metrics, and market presence. Both types of data play a pivotal role in understanding the business landscape and identifying opportunities for growth and innovation.

Company data and startup data serve various specific use cases and applications:

1. Market Research for Investors: Investors use company data to identify promising startups in specific industries or regions, helping them make informed investment decisions.

2. Competitor Analysis for Incumbent Companies: Established companies leverage startup data to monitor emerging competitors and identify potential disruptions to their market share.

3. Partnership Opportunities: Startups use company data to identify potential partners or investors who align with their business goals and values.

4. Recruitment Strategies: Companies use startup data to target high-growth startups as potential sources of talent, offering opportunities for strategic partnerships or acquisitions.

5. Economic Development Initiatives: Governments and economic development agencies use company data to identify high-potential startups and provide support through grants, incentives, or incubator programs.

6. Risk Assessment for Service Providers: Service providers, such as financial institutions or insurance companies, use company data to assess the risk associated with serving startups as clients or partners.

7. Product Development Insights: Startups and established companies alike use company data to identify emerging trends and consumer preferences, informing product development strategies.

8. Marketing and Sales Targeting: Companies use company data to identify potential customers or partners based on specific criteria, such as industry, size, or geographic location, enabling targeted marketing and sales efforts.

9. Mergers and Acquisitions: Corporations use company data to identify potential acquisition targets or merger partners that align with their strategic objectives, helping them expand their market reach or diversify their product offerings.

10. Entrepreneurial Education: Educational institutions and entrepreneurship programs use company data to provide real-world examples and case studies for students, helping them understand the challenges and opportunities of starting and scaling a business.

Key features of using APISCRAPY for Company Data & Startup Data include:

Comprehensive Data Extraction: APISCRAPY extracts a wide range of data points, including company name, industry, employees, revenue, website, funding rounds, and founder information.

High Accuracy: Our advanced scraping technology ensures the accuracy and reliability of the extracted data, enabling confident decision-making.

Real-Time Updates: Stay ahead of the competition with real-time data updates, providing the latest insights into the dynamic business landscape

Customized Solutions: Tailored to your specific needs, APISCRAPY offers customized scraping solutions to extract the exact data points you require for your analysis.

Ease of Integration: Our data is delivered in formats that are easy to integrate into your existing systems and workflows, saving you time and resources.

Fast Turnaround Time: Benefit from quick turnaround times, allowing you to access the data you need promptly for strategic decision-making.

Diverse Data Sources: APISCRAPY accesses data from a variety of sources, ensuring comprehensive coverage and providing a holistic view of the market.

Secure Data Handling: We prioritize data security and confidentiality, ensuring that your sensitive information is handled with the utmost care and compliance with data protection regulations.

Expert Support: Our team of experienced professionals is dedicated to providing exceptional customer support and guidance throughout the data extraction process.

Cost-Effective Solutions: APISCRAPY offers cost-effective solutions that provide maximum value for your investment, helping you achieve your business objectives efficiently and affordably.

[Related Tags: Company data, B2B Data, Company Datasets, Company Registry data, Private Company Data, Company Funding Data, Private Equity (PE) Funding Data, SIC Data Regulatory Company Data, Startup Data, Manufacturing Company Data, Venture Capital (VC) Funding Data, Company Financial Data, KYB Data, startup funding data, startup company address data, company owner data, company data scraping, company location API, company data API, startup data API, global startup database, B2b datasets, Firmographic data]

Introduction

Startup Failure Rate Statistics: Launching a new business can be both exciting and promising, but it also comes with its share of ups and downs. Understanding the reasons behind startup failures can help aspiring entrepreneurs navigate challenges more effectively. By analyzing data on these failures, entrepreneurs can develop strategies to mitigate risks and create adaptable business plans that increase their chances of success.

This article presents statistics on startup failures, highlighting what potential new businesses may encounter and how to prepare for these challenges. Being informed, developing a clear strategy, and stepping out with confidence are essential for overcoming obstacles in the entrepreneurial journey.

Funding for artificial intelligence (AI) focused on startups dwindled significantly in the United States at the beginning of 2022, in line with global trends. The expenditure on AI and technology had been on a steady growth trend through 2020 into late 2021. It is most likely that the economic insecurity surrounding the Russian invasion of Ukraine and the resulting chaos in energy markets had caused investors to turn their money towards more basic businesses that would be considered more reliable. Conversely, the 1st quarter of 2023 saw a stratospheric rise in funding, mainly due to the massive popularity of generative AI following OpenAI's release of ChatGPT *** in late 2022.

We will create a customized startups dataset tailored to your specific requirements. Data points may include startup foundation dates, locations, industry sectors, funding rounds, investor profiles, financial health, market positions, technological assets, employee counts, and other relevant metrics.

Utilize our startups datasets for a variety of applications to boost strategic planning and innovation tracking. Analyzing these datasets can help organizations grasp market trends and growth opportunities within the startup ecosystem, allowing for more precise strategy adjustments and operations. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: enhancing competitive analysis, identifying emerging market trends, and finding high-potential investment opportunities.

Between 2018 and 2022, the advanced manufacturing and robotics industry saw the highest increase in funding, rising by nearly *** percent. Cybersecurity saw the second highest increase at *** percent, followed by the cleantech industry. On the other hand, funding in edtech and adtech dropped by ** and ** percent respectively.

Funding in artificial intelligence (AI) startups maintained a stable growth in the years before the coronavirus (COVID-19) pandemic, increasing from*** billion U.S. dollars in 2017 to ** billion U.S. dollars in 2020. Investments into AI-driven startups increased substantially as of 2021, as generative AI emerged and at the outset of the COVID-19 pandemic, when it became clear that working from home and cyber solutions were a permanent part of the workplace. Consequently, investments grew from a little over ** billion U.S. dollars in 2020 to more than ** billion U.S. dollars in 2021. However, investments in AI startups had been slightly declining in 2022 until the record level of funding for OpenAI and other generative AI investments at the tail end of the year.

Artificial Intelligence investments during COVID-19 During the COVID-19 pandemic, the level of investment rose in nearly all organizations across the globe. The increase was most staggering in the healthcare and pharmaceutical industry where nearly ** percent of companies reported an increase in their use of artificial intelligence. The automotive industry, being one of the more advanced automation industries in the world, also increased its investment by over ** percent. The automotive industry automation market totaled *** billion U.S. dollars in revenue . Artificial Intelligence in business and recession The increased use of AI in the United States is enabling companies to reduce their labor demands and hiring cycles, thus becoming more efficient. Nearly a ***** of companies have either implemented or begun to implement AI driven solutions within their organization. In the context of energy driven recession faced by Europe - that is impacting the entire world - AI comes to the rescue. Most mobile companies reported an energy saving of ** to ** percent. Such small steps are vital in maintaining a robust technological economy in recession times.

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.

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

To celebrate the return of HackerNoon Startups of the Year we've open sourced our previous Startup of the Year votes. This dataset includes every city above half a million ppl, tens of thousands of startups with meta data like homepage and company description, as well as, 600k+ votes for these startups on HackerNoon.

Learn more about startups, tech company media coverage, and business blogging.

The amount of money invested annually into startup companies working in the artificial intelligence (AI) market worldwide has continuously increased from 2014 to 2021. In 2020, AI startups attracted around ** billion U.S. dollars in investment. Just in the first six months of 2021, this figures was surpassed and reached ** billion U.S. dollars.

Every year since 2020, The Information selects 50 companies that 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, our reporters consulted industry sources and gathered previously undisclosed financial information. We limited the list to startups that had raised less than $100 million in funding or began operations within the last two years.

This dataset contains information about various startups from the year 2012 till 2021, including their valuations, founding dates, locations, industries, and select investors. It offers insights into the dynamic world of startups, showcasing their financial standing, geographical presence, and key backers.

Uzbekistan UZ: Start-Up Procedures to Register a Business: Male data was reported at 3.000 Number in 2017. This records a decrease from the previous number of 4.000 Number for 2016. Uzbekistan UZ: Start-Up Procedures to Register a Business: Male data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 10.000 Number in 2006 and a record low of 3.000 Number in 2017. Uzbekistan UZ: Start-Up Procedures to Register a Business: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uzbekistan – Table UZ.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.

Xverum’s Company Data delivers comprehensive insights into over 50 million global businesses, from fast-growing startups to established private companies. This dataset is a trusted source for investors, analysts, and B2B teams seeking reliable firmographic data, company registry attributes, and organizational details across industries and geographies.

Whether you’re researching potential clients, running B2B campaigns, or building smarter go-to-market strategies, this company dataset gives you the full picture—updated every 30 days.

What’s Included: ✅ 50M+ Verified Company Records across 249 countries ✅ 40+ Firmographic Attributes, including: ✔️ Company Name, Industry ✔️ Employee Count, HQ Location, Founding Year ✔️ Company Domain, Company Profile URL, Registry Type ✅ Private, Public & Startup Coverage with a focus on any business size. ✅ Custom Region Delivery – segment by country, region or worldwide. ✅ 30-Day Refresh Cycle to keep your data fresh and investment-ready ✅ Available in CSV, JSON, or via API & S3

Use Cases: ➡️ Company Research & Competitive Benchmarking Analyze growth metrics and benchmarks across industries and private company peers.

➡️ B2B Lead Generation & Outreach Fuel CRM and outbound sales platforms with firmographic-enriched startup and SMB records.

➡️ Investor Intelligence & Deal Sourcing Spot high-growth startups by tracking employee expansion, market entry, and location-based clusters.

➡️ Market Mapping & Go-To-Market Planning Build total addressable market (TAM) maps using verified business registry records and firmographics.

Why Choose Xverum’s Company Dataset? ✅ Global Reach: 50M companies, with data on startups, SMEs, and private firms in emerging and developed markets ✅ Flexible Formats: Delivered via API, bulk export, or cloud delivery ✅ GDPR & CCPA Compliant: Ethically sourced and privacy-focused

Ready to enrich your CRM or power your next B2B campaign? Request a free sample today or contact us to dive deeper into your data needs.

Company Intelligence Name and Websites - Company Website and Alternative Domains.
Address - Standardized headquarter Address, City, Region, Zip Code, and Country LAT / LONG - Used for Geo Location Locations - Additional office locations of the business Phone - Standardized headquarter phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, Twitter, Yelp, Instagram Type - Headquarters, Branch, Local Only Description - detailed overview of the company business model and pursuit. Industry - Standardized Industries to segment companies by their most notable contributions Sector - 20 industry groupings Specialties - Non industry details shared by the company to better understand what they do SIC Code - 839 industry classifications and their definitions Revenue - Annual revenue from 1M to over 1B Employee - Number of Employees at the company

Similar Companies - used to identify competitors Funding - for start up data IP Address - from the hosted website Affiliated Companies - company hierarchy

Canada CA: Start-Up Procedures to Register a Business: Female data was reported at 2.000 Number in 2019. This stayed constant from the previous number of 2.000 Number for 2018. Canada CA: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 2.000 Number from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 3.000 Number in 2007 and a record low of 2.000 Number in 2019. Canada CA: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.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/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.