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.

A dataset of key metrics related to the article, including Engagement Score, Reading Time (mins), Post Word Count.

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.

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.

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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.

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

Almost 140 more venture capital-backed companies were acquired in the first quarter of 2021 than in the previous quarter. In the first quarter of 2021, 631 VC-backed companies were acquired, up from only 495 in the fourth quarter of 2021.

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 Philippines have has around *** startups as of October 2021, an increase of *** percent from *** startups in 2017. The number of startups in the country is expected to keep growing in succeeding years.

 Most funded startup sector 

Across sectors, financial technology or fintech was the most funded startup sector in the Philippines. In 2021, the value of deals received by startups in the FinTech sector accounted for over half of the total deal value. FinTech is rapidly expanding in the Philippines due to increased digitalization and government campaigns to boost financial inclusion and digital payment adaption. Two of the ***** unicorn startups are in fintech.

 Startup ecosystem

Although the startup landscape in the Philippines is nascent, focused government support and high digital adaption are expected to support its growth in the following years. In 2019, the government introduced the Startup Innovation Act, providing incentives to make starting a new business much easier. By 2025, it was forecast that the number of newly registered businesses would reach over ** thousand.

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.

Success.ai’s Startup Data with Contact Data for Startup Founders Worldwide provides businesses with unparalleled access to key entrepreneurs and decision-makers shaping the global startup landscape. With data sourced from over 170 million verified professional profiles, this dataset offers essential contact details, including work emails and direct phone numbers, for founders in various industries and regions.

Whether you’re targeting tech innovators in Silicon Valley, fintech entrepreneurs in Europe, or e-commerce trailblazers in Asia, Success.ai ensures that your outreach efforts reach the right individuals at the right time.

Why Choose Success.ai’s Startup Founders Data?

1. Comprehensive Contact Information
2. Access verified work emails, phone numbers, and LinkedIn profiles for founders and key startup executives worldwide.

3. AI-driven validation ensures 99% accuracy, providing reliable data for effective outreach.

4. Global Reach Across Startup Ecosystems

5. Includes profiles of startup founders from tech, healthcare, fintech, sustainability, and other emerging sectors.

6. Covers North America, Europe, Asia-Pacific, South America, and the Middle East, helping you connect with founders on a global scale.

7. Continuously Updated Datasets

8. Real-time updates mean you always have the latest contact information, ensuring your outreach is timely and relevant.

9. Ethical and Compliant

10. Adheres to GDPR, CCPA, and global data privacy regulations, ensuring ethical and compliant use of data.

Data Highlights

• 170M+ Verified Professional Profiles: Includes startup founders and their teams across a range of industries.
• 50M Work Emails: AI-validated for precision in communication.
• 30M Company Profiles: Gain insights into the startups’ size, location, and industry focus.
• 700M Global Professional Profiles: Enriched data for comprehensive outreach and analysis.

Key Features of the Dataset:

1. Founder Decision-Maker Profiles
2. Identify and connect with founders and key executives who drive strategy, funding, and product decisions.

3. Engage with individuals who can approve partnerships, investments, and collaborations.

4. Advanced Filters for Precision Targeting

5. Filter by industry, funding stage, region, or startup size to narrow down your outreach efforts.

6. Ensure your campaigns target the most relevant contacts for your products, services, or investment opportunities.

7. AI-Driven Enrichment

8. Profiles are enriched with actionable data, offering insights that help tailor your messaging and improve response rates.

Strategic Use Cases:

1. Investor Relations and Funding Opportunities

2. Connect with founders seeking investment, pitch your venture capital or angel investment services, and establish long-term partnerships.

3. Business Development and Partnerships

4. Offer collaboration opportunities, strategic alliances, and joint ventures to startups in need of new market entries or product expansions.

5. Marketing and Sales Campaigns

6. Launch targeted email and phone outreach to founders who match your ideal customer profile, driving product adoption and long-term client relationships.

7. Recruitment and Talent Acquisition

8. Reach founders who may be open to recruitment partnerships or HR solutions, helping them build strong teams and scale effectively.

Why Choose Success.ai?

1. Best Price Guarantee

2. Enjoy top-quality, verified startup founder data at competitive prices, ensuring maximum return on investment.

3. Seamless Integration

4. Easily integrate verified contact data into your CRM or marketing platforms via APIs or customizable downloads.

5. Data Accuracy with AI Validation

6. With 99% data accuracy, you can trust the information to guide meaningful and productive outreach campaigns.

7. Customizable and Scalable Solutions

8. Tailor the dataset to your needs, focusing on specific industries, regions, or funding stages, and easily scale as your business grows.

APIs for Enhanced Functionality:

1. Data Enrichment API

2. Enrich your existing CRM records with verified founder contact data, adding valuable insights for targeted engagements.

3. Lead Generation API

4. Automate lead generation and streamline your campaigns, ensuring efficient and scalable outreach to startup founders worldwide.

Leverage Success.ai’s B2B Contact Data for Startup Founders Worldwide to connect with the entrepreneurs driving innovation across global markets. With verified work emails, phone numbers, and continuously updated profiles, your outreach efforts become more impactful, timely, and effective.

Experience AI-validated accuracy and our Best Price Guarantee. Contact Success.ai today to learn how our B2B contact data solutions can help you engage with the startup founders who matter most.

No one beats us on price. Period.

This CED spatial web service (ESRI ArcGIS Online Hosted Feature Layer) is a optimized quick visualization and unique value source for optimized CED web startup. The CED provides Sagebrush biome spatial representations and attribute information of conservation efforts entered into the Conservation Efforts Database (https://conservationefforts.org) by various data providers. This spatial web service is made of point and polygon layers and non-spatial tables. Feature records are group with their respective spatial feature type layers (point, polygon). The two spatial layers have identical attribute fields.Read only access to this data is ONLY available via an interactive web map on the Conservation Efforts Database website or authorized websites. Users who are interested in more access can directly contact the data providers by using the contact information available through the CED interactive map's pop-up/identify feature.The spatially explicit, web-based Conservation Efforts Database is capable of (1) allowing multiple-users to enter data from different locations, (2) uploading and storing documents, (3) linking conservation actions to one or more threats (one-to-many relationships), (4) reporting functions that would allow summaries of the conservation actions at multiple scales (e.g., management zones, populations, or priority areas for conservation), and (5) accounting for actions at multiple scales from small easements to statewide planning efforts.The sagebrush ecosystem is the largest ecosystem type in the continental U.S., providing habitat for more than 350 associated fish and wildlife species. In recognition of the need to conserve a healthy sagebrush ecosystem to provide for the long-term conservation of its inhabitants, the US Fish and Wildlife Service (Service) and United States Geological Survey (USGS) developed the Conservation Efforts Database version 2.0.0 (CED). The purpose of the CED is to efficiently capture the unprecedented level of conservation plans and actions being implemented throughout the sagebrush ecosystem and designed to capture actions not only for its most famous resident, the greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) but for the other species that rely on sagebrush habitats. Understanding the distribution and type of conservation actions happening across the landscape will allow visualization and quantification of the extent to which threats are being addressed.The purpose of this CED spatial web service (ESRI ArcGIS Online Hosted Feature Layer) is to provide CED data for authorized web sites or authorized users.

The US Venture Capital (VC) market, valued at $1.30 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 8.25% from 2025 to 2033. This expansion is fueled by several key drivers. Firstly, a thriving startup ecosystem, particularly in technology hubs like California, New York, and Massachusetts, provides a fertile ground for VC investment. Secondly, the increasing availability of funding from both established players like Intel Capital and Sequoia Capital, and emerging funds, indicates strong investor confidence. Thirdly, sectors like Banking & Financial Services, Healthcare, and Telecommunications are attracting significant VC interest due to their potential for innovation and disruption. While regulatory hurdles and macroeconomic uncertainties could pose challenges, the overall positive trend is expected to persist. The market's segmentation by industry type and startup stage allows for targeted investment strategies, with Seed and First-stage funding seeing particularly high activity. The geographic concentration in key states signifies the importance of strategic location and access to talent pools in driving VC activity. Looking ahead, the continued expansion of the US VC market is contingent on several factors. Maintaining a favorable regulatory environment for startups and fostering a culture of innovation are crucial. The ongoing impact of technological advancements, specifically in areas like artificial intelligence and biotechnology, will significantly shape investment trends. Furthermore, the ability of VC firms to adapt to evolving market conditions, including managing risk and identifying emerging opportunities, will determine their success. While competition is fierce, the overall outlook for the US VC market remains positive, driven by a confluence of technological advancements, entrepreneurial dynamism, and abundant capital. This report provides a detailed analysis of the US Venture Capital market, covering the period from 2019 to 2033. It leverages historical data (2019-2024), utilizes 2025 as the base and estimated year, and forecasts market trends until 2033. This in-depth study will equip investors, entrepreneurs, and industry stakeholders with crucial insights into this dynamic market. Keywords: Venture Capital, US Venture Capital Market, Venture Capital Investments, Private Equity, Seed Funding, Series A Funding, Tech Startups, Fintech, Healthcare Startups, Market Analysis, Market Forecast, Investment Trends. Recent developments include: January 2023: NEA (New Enterprise Associates) announced it closed on approximately USD 6.2 billion across two funds, bringing the firm's assets under management to over USD 25 billion as of December 31, 2022. The new pair of funds marks a first for NEA, with one dedicated to early-stage investing and the other to venture growth-stage opportunities. It reflects the 45-year-old firm's continuous evolution of its model over decades., March 2022: Intel Corporation announced an agreement to acquire Granulate Cloud Solutions Ltd, an Israel-based developer of real-time continuous optimization software. The Granulate acquisition will help cloud and data center customers maximize compute workload performance and reduce infrastructure and cloud costs.. Notable trends are: Healthtech trends toward record-breaking year.

Slovenia had the highest startup density in Southeast Europe (SEE), at approximately *** active startups per capita in 2022. It was followed by Montenegro and Bulgaria which had *** and *** active startups per capita, respectively.

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.

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.

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...

Post getting recognition a Startup may apply for Tax exemption under section 80 IAC of the Income Tax Act. Post getting clearance for Tax exemption, the Startup can avail tax holiday for 3 consecutive financial years out of its first ten years since incorporation.

Eligibility Criteria for applying to Income Tax exemption (80IAC):

1. The entity should be a recognised Startup
2. Only Private limited or a Limited Liability Partnership is eligible for Tax exemption under Section 80IAC
3. The Startup should have been incorporated after 1st April, 2016

Startup Indicators: Founders: More than 1: Majority: Female data was reported at 0.700 % in 2022. This stayed constant from the previous number of 0.700 % for 2021. Startup Indicators: Founders: More than 1: Majority: Female data is updated yearly, averaging 0.700 % from Dec 2021 (Median) to 2022, with 2 observations. The data reached an all-time high of 0.700 % in 2022 and a record low of 0.700 % in 2022. Startup Indicators: Founders: More than 1: Majority: Female data remains active status in CEIC and is reported by Brazilian Association of Startups. The data is categorized under Brazil Premium Database’s Investment – Table BR.OH004: Startups: Profile of Startup Founders.