Discover Startup Data for technology startups globally with Success.ai. Gain access to verified company data, including firmographic data, employee counts, and funding insights. Best price guaranteed.

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.

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.

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.

The Unicorn Companies Dataset is a comprehensive collection of information on privately held startup companies that have reached a valuation of $1 billion or more. The dataset contains 17 columns, including:

Sno: Serial number assigned to each entry in the dataset. Company: The name of the company. Valuation ($B): The valuation of the company in billions of dollars. Date Joined: The date on which the company achieved unicorn status. Country: The country where the company is headquartered. City: The city where the company is headquartered. Industry: The industry in which the company operates. Investors: The list of investors who have invested in the company. Founded Year: The year in which the company was founded. Total Raised: The total amount of funding that the company has raised. Financial Stage: The financial stage of the company (e.g., Series A, Series B, etc.). Investors Count: The total number of investors who have invested in the company. Deal Terms: The terms of the company's funding deals. Portfolio Exits: Information on any exits the company has made from its portfolio. Unicorn Nest website link: The website link to the company's profile on the Unicorn Nest website. Fund Structure: The fund structure of the company (e.g., VC, PE, etc.). Social Media Presence: Whether the Companies are active on Social Media. The dataset is intended for use by data scientists, researchers, and business analysts who are interested in exploring the world of unicorn companies and analyzing trends in the startup ecosystem. The dataset can be used for various purposes, including predictive modeling, trend analysis, and portfolio optimization.

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.

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.

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.

Statistics on Startup Companies in Hong Kong | DATA.GOV.HK

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.

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.

1) Data Introduction • The Crunchbase company Data includes a variety of startup-related data, including startup enterprise information, year of establishment, investment history, and industrial sector released by Crunchbase.

2) Data Utilization (1) Crunchbase company Data has characteristics that: • This dataset provides a variety of attributes that can impact the growth and success of a start-up, including company name, year of establishment, location, industry, investment stage, investment amount, and investors. (2) Crunchbase company Data can be used to: • Development of Startup Success Prediction Model: By utilizing key attributes such as the year of establishment, investment history, and industrial sector, we can build a model that predicts a startup's chances of success. • Venture investment and market analysis: It can be used to identify venture investment strategies and market trends by analyzing startup distribution and growth patterns by investment stage and industry.

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.

As of February 2022, Chile was home to *** startup companies on the software and data sector. Meanwhile, social and leisure was the industry with the fourth highest number of new companies, amounting to **. The Chilean capital recorded the largest number of startups in the country, more than ***.

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 dataset includes sample data of 1000 startup companies operating cost and their profit. Well-formatted dataset for building ML regression pipelines. Includes R&D Spend float64 Administration float64 Marketing Spend float64 State object Profit float64

Abstract The study focused the use of information sources about the organizational environment by startup managers. The research characterized the relevance of the external environment sectors for business, the factors that motivate the managers to seek information, and the relevance and reliability of information sources. The research methodology was based on the combination of quantitative and qualitative methods. The collection of quantitative data, was made through the use of an online questionnaire through which 60 responses were obtained. After the analysis of the quantitative interviews were conducted with three managers involved in the incubation, acceleration and startup investment programs, in order to discuss the data. Research has shown that entrepreneurs recognize customers and technology as key external environment sectors that affect their businesses and demonstrated their concern to seek information in order to generate innovation and support decisions. In addition, the study showed the relevance and reliability attributed to internal information sources, such as partners/employees and their own corporate databases; and the relevance of new digital information sources as compared with traditional sources.

C Insights Africa's company database contains details of more than 10,000 organizations in Nigeria ranging from the large corporates, to the mid-sized and small companies. Our database contains attributes such as company size, address(s), contact details, type of business and related companies (where applicable). Marketing and sales executives can enrich their pipeline with our database, while business development teams or C-suite executives interested in finding new partners/frontiers are sure to find this database invaluable.

United States US: Start-Up Procedures to Register a Business: Female 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: Female 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: Female 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.

Success.ai’s Startup Data for Technology Startups Worldwide provides a comprehensive dataset to help businesses, investors, and service providers connect with innovative tech startups across the globe. With access to over 170 million verified professional profiles and 30 million company profiles, this dataset includes detailed firmographic data, funding insights, and employee information. Whether you’re targeting early-stage ventures, scaling startups, or established unicorns, Success.ai ensures your outreach and strategic planning are informed by reliable, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to engage meaningfully with the technology startup ecosystem.

Why Choose Success.ai’s Technology Startup Data?

1. Comprehensive Startup Insights

   • Access verified data on company size, founding dates, technology focus areas, geographic locations, and funding stages.
   • AI-driven validation ensures 99% accuracy, minimizing wasted outreach and guiding confident engagement.

2. Global Coverage of Technology Startups

   • Includes profiles of tech startups specializing in SaaS, AI, FinTech, e-commerce, HealthTech, IoT, cybersecurity, and more.
   • Covers key innovation hubs such as Silicon Valley, Bangalore, London, Berlin, Singapore, and emerging markets worldwide.

3. Continuously Updated Datasets

   • Real-time updates reflect new funding rounds, product launches, leadership changes, and expansion activities.
   • Stay aligned with the fast-paced startup ecosystem to identify opportunities and build relationships at the right time.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible data usage and compliance with legal standards.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with founders, co-founders, CEOs, CTOs, and decision-makers in technology startups worldwide.
• 30M Company Profiles: Gain insights into startup firmographics, including size, industry focus, and operational footprint.
• Funding Insights: Access data on seed, Series A, Series B, and other funding rounds, along with investor details.
• Employee and Organizational Data: Understand team compositions, growth trajectories, and hiring trends for better engagement.

Key Features of the Dataset:

1. Startup Decision-Maker Profiles

   • Identify and connect with founders, product leads, technology architects, and business development managers driving growth in tech startups.
   • Engage with professionals making critical decisions about partnerships, procurement, and market expansion.

2. Funding and Investment Data

   • Access insights into recent funding rounds, investor portfolios, and funding sources (venture capital, angel investors, private equity).
   • Tailor outreach based on funding stage, ensuring relevance for services like advisory, recruitment, or technology solutions.

3. Advanced Filters for Precision Targeting

   • Filter startups by industry vertical, funding stage, geographic location, company size, or growth metrics.
   • Align campaigns with unique startup challenges, such as scaling operations, building MVPs, or achieving market fit.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow you to craft personalized messaging, showcase relevant value propositions, and enhance engagement with startup leaders.

Strategic Use Cases:

1. Investor Relations and Funding Opportunities

   • Connect with founders and executives preparing for fundraising rounds or seeking strategic investment partnerships.
   • Identify high-growth startups for venture capital, angel investing, or co-investment opportunities.

2. Sales and Lead Generation

   • Present SaaS solutions, infrastructure tools, or marketing services tailored to startup challenges, such as scaling, market entry, or user acquisition.
   • Build relationships with startups that align with your product offerings and service capabilities.

3. Strategic Partnerships and Ecosystem Building

   • Engage startups developing complementary technologies or exploring strategic alliances in innovation ecosystems.
   • Identify early-stage companies to co-develop products, expand market reach, or enhance technology stacks.

4. Recruitment and Talent Solutions

   • Offer staffing services, recruitment platforms, or HR solutions to fast-growing startups scaling their teams.
   • Engage with hiring managers or founders seeking skilled professionals to support product development or market expansion.

Why Choose Success.ai?

1. Best Price Guarantee

   • Gain access to premium-quality verified data at competitive prices, ensuring optimal ROI for outreach and strategic initiatives targeting startups.

2. Seamless Integration

   • Integrate verified startup data into your CRM or marketing platforms via APIs or d...