https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy
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.
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.
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.
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.
Statistics on Startup Companies in Hong Kong
https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions
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:
Market Research for Investors: Investors use company data to identify promising startups in specific industries or regions, helping them make informed investment decisions.
Competitor Analysis for Incumbent Companies: Established companies leverage startup data to monitor emerging competitors and identify potential disruptions to their market share.
Partnership Opportunities: Startups use company data to identify potential partners or investors who align with their business goals and values.
Recruitment Strategies: Companies use startup data to target high-growth startups as potential sources of talent, offering opportunities for strategic partnerships or acquisitions.
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.
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.
Product Development Insights: Startups and established companies alike use company data to identify emerging trends and consumer preferences, informing product development strategies.
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.
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.
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]
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.
https://brightdata.com/licensehttps://brightdata.com/license
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.
The ************* was by far the best country for startups in 2024, according to data provided by StartupBlink. With a total score of ***, the U.S. had almost more than **** times as many points as the second ranked **************, with a score of *****. Israel followed in third.
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?
Comprehensive Startup Insights
Global Coverage of Technology Startups
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Startup Decision-Maker Profiles
Funding and Investment Data
Advanced Filters for Precision Targeting
AI-Driven Enrichment
Strategic Use Cases:
Investor Relations and Funding Opportunities
Sales and Lead Generation
Strategic Partnerships and Ecosystem Building
Recruitment and Talent Solutions
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
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?
AI-driven validation ensures 99% accuracy, providing reliable data for effective outreach.
Global Reach Across Startup Ecosystems
Includes profiles of startup founders from tech, healthcare, fintech, sustainability, and other emerging sectors.
Covers North America, Europe, Asia-Pacific, South America, and the Middle East, helping you connect with founders on a global scale.
Continuously Updated Datasets
Real-time updates mean you always have the latest contact information, ensuring your outreach is timely and relevant.
Ethical and Compliant
Adheres to GDPR, CCPA, and global data privacy regulations, ensuring ethical and compliant use of data.
Data Highlights
Key Features of the Dataset:
Engage with individuals who can approve partnerships, investments, and collaborations.
Advanced Filters for Precision Targeting
Filter by industry, funding stage, region, or startup size to narrow down your outreach efforts.
Ensure your campaigns target the most relevant contacts for your products, services, or investment opportunities.
AI-Driven Enrichment
Profiles are enriched with actionable data, offering insights that help tailor your messaging and improve response rates.
Strategic Use Cases:
Connect with founders seeking investment, pitch your venture capital or angel investment services, and establish long-term partnerships.
Business Development and Partnerships
Offer collaboration opportunities, strategic alliances, and joint ventures to startups in need of new market entries or product expansions.
Marketing and Sales Campaigns
Launch targeted email and phone outreach to founders who match your ideal customer profile, driving product adoption and long-term client relationships.
Recruitment and Talent Acquisition
Reach founders who may be open to recruitment partnerships or HR solutions, helping them build strong teams and scale effectively.
Why Choose Success.ai?
Enjoy top-quality, verified startup founder data at competitive prices, ensuring maximum return on investment.
Seamless Integration
Easily integrate verified contact data into your CRM or marketing platforms via APIs or customizable downloads.
Data Accuracy with AI Validation
With 99% data accuracy, you can trust the information to guide meaningful and productive outreach campaigns.
Customizable and Scalable Solutions
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:
Enrich your existing CRM records with verified founder contact data, adding valuable insights for targeted engagements.
Lead Generation API
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.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
Column | Description |
---|---|
Company | The name of the startup company. |
Valuation ($B) | The valuation of the company in billions of dollars. |
Date Joined | The date when the company joined. |
Country | The country where the company is based. |
City | The city where the company is located. |
Industry | The industry or sector the company operates in. |
Select Investors | The list of select investors in the company. |
In 2024, around ***** startups resided in Hong Kong's co-working spaces and accelerators. This was an increase of ten percent compared to the previous year.
The Forager.ai Global Dataset is a leading source of firmographic data, backed by advanced AI and offering the highest refresh rate in the industry.
| Volume and Stats |
| Use Cases |
Sales Platforms, ABM and Intent Data Platforms, Identity Platforms, Data Vendors:
Example applications include:
Uncover trending technologies or tools gaining popularity.
Pinpoint lucrative business prospects by identifying similar solutions utilized by a specific company.
Study a company's tech stacks to understand the technical capability and skills available within that company.
B2B Tech Companies:
Venture Capital and Private Equity:
| Delivery Options |
Our dataset provides a unique blend of volume, freshness, and detail that is perfect for Sales Platforms, B2B Tech, VCs & PE firms, Marketing Automation, ABM & Intent. It stands as a cornerstone in our broader data offering, ensuring you have the information you need to drive decision-making and growth.
Tags: Company Data, Company Profiles, Employee Data, Firmographic Data, AI-Driven Data, High Refresh Rate, Company Classification, Private Market Intelligence, Workforce Intelligence, Public Companies.
Forager.ai - Global B2B Person Data Set is a comprehensive and AI-powered collection of over 720M professional LinkedIn profiles. Our dataset is refreshed bi-weekly (2x/month) to ensure the most up-to-date and dynamic information, setting the industry standard for data accuracy and coverage. Delivered via JSON or CSV formats, it captures publicly available information on professional profiles across industries and geographies.
| Volume and Stats | 755M+ Global Records, continually growing. Each record is refreshed twice a month, ensuring high data fidelity. Powered by first-party data curation, supporting leading sales and recruitment platforms. Hourly delivery, providing near-real-time data access. Multiple data formats: JSONL, CSV for seamless integration.
| Datapoints | 150+ unique data points available, including: Current Title, Current Company, Work History, Educational Background, location and contact details. with high accuracy +95%. Linkage to other social networks and contact data for added insights.
| Use Cases | Sales Platforms, ABM Vendors, and Intent Data Companies Fuel your platforms with fresh, accurate professional data. Gain insights from job changes and update your database in real time. Enhance contact enrichment for targeted marketing and sales outreach. Venture Capital (VC) and Private Equity (PE) Firms Track employees and founders in your portfolio companies and be the first to know when they change roles. Access employee growth trends to benchmark against competitors. Discover new talent for portfolio companies, optimizing recruitment efforts. HR Tech, ATS Platforms, and Recruitment Solutions Build effective, industry-agnostic recruitment platforms with a wealth of professional data. Track job transitions and automatically refresh profiles to eliminate outdated information. Identify top talent through work history, educational background, and skills analysis.
| Delivery Options | Flat files via S3 or Snowflake PostgreSQL Shared/Managed Database REST API Custom delivery options available upon request.
| Key Features | Over 180M U.S. Professional Profiles. 150+ Data Fields available upon request. Free data samples for evaluation purposes. Bi-Weekly Updates Data accuracy +95%
Tags: LinkedIn Data, Professional Data, Employee Data, Firmographic Data, Work Experience, Education Data, Account-Based Marketing (ABM), Intent Data, Identity Resolution, Talent Sourcing, Sales Database, Recruitment Solutions, Contact Enrichment.
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.
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.
Wanted to get some insights of Indian startup ecosystem. Which industry is seeing more innovation, which cities are playing major roles in attracting establishing startups. What is the pattern in number of fundings per year. Data collected from 2015 - until mid July 2020.
What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Data collected through web scrapping process, though data available out there for last 5 years. you can run into lot of challenges while reading data from the website due incosistency or may be limitations of python libraries. Processing the data may be biggest hurdle as there is missing data, unorganized, inconsistency in data format. I have published my data acquiring code on github, if you want to look into how i did read, processed, organized, cleaning is done, here the link to that. github
Thanks to trak.in who are published data for free. Also i express gratitude to @sudalairajkumar for his pioneering work with respect to india start up funding data exploration.
How startups were funded per year ? Which cities are encouraging startup ecosystem ? Over a years how startup funding has been changed? Which industries are attracting more funding ?
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This dataset contains a list of companies that received funding under the sub-program "New business and start-ups" and completed their projects in 2014-2015 and continued to exist three years after the end of the project.
https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy
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.