Startup Funding Round Data
Buy and sell startup funding round data data. Round sizes, valuations, and investor participation — the venture funding data.
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What Is Startup Funding Round Data?
Startup funding round data comprises comprehensive records of venture capital investments, including round sizes, company valuations, and investor participation across seed, Series A, B, C, and mega-rounds. This data tracks the flow of billions of dollars into early and late-stage companies, revealing which sectors attract capital, how valuations evolve, and where institutional investors concentrate their bets. In 2025 and early 2026, venture and growth investors deployed $425 billion into more than 24,000 private companies globally, with AI dominating the landscape and mega-rounds above $100 million becoming central to startup scaling strategies.
Market Data
$425 billion into 24,000+ companies
Global Venture Funding (2025)
Source: Crunchbase
90% of global venture funding ($171 billion)
AI Startups' Share of Capital (February 2026)
Source: Crunchbase
$40 billion to OpenAI
Largest Private Funding Round (2025)
Source: Crunchbase
$109.1 billion (12x China, 24x UK)
US AI Investment Concentration (2025)
Source: Qubit Capital
$100–130 billion (~33% of global VC)
AI VC Funding Share (2024)
Source: Qubit Capital
Who Uses This Data
What AI models do with it.do with it.
Venture Capital Firms
Track mega-rounds and capital concentration patterns to identify category leaders and late-stage scaling opportunities. Use round data to benchmark valuations and assess where institutional capital is flowing.
Founders and Startup Teams
Understand funding timelines, typical round sizes by stage, and investor expectations. Reference benchmarks like Series A averaging £30 million and Series C averaging £68 million to calibrate fundraising goals and prepare pitches.
Strategic Investors and Acquirers
Monitor secondary market signals and identify high-potential companies through funding announcements. Track valuations (e.g., SpaceX's $800 billion in 2025) and deal velocity to inform acquisition and partnership strategies.
Market Analysts and Researchers
Analyze sector trends, geographic capital concentration, and funding stage distribution. Study AI mega-rounds and how they shape competitive dynamics within industries.
What Can You Earn?
What it's worth.worth.
Individual Round Records
Varies
Pricing depends on depth (company size, investor list, valuation, round timeline) and distribution model (API, CSV, dashboard access).
Sector-Level Datasets
Varies
Aggregated round data by industry (AI, fintech, healthcare) commands premium rates for multi-round tracking and trend analysis.
Custom Funding Benchmarks
Varies
Stage-specific, geography-filtered datasets (e.g., early-stage funding in Africa, late-stage AI in US) tailored to buyer needs.
What Buyers Expect
What makes it valuable.valuable.
Accuracy and Timeliness
Round amounts, valuations, and investor names must match official announcements or SEC filings. Data should reflect recent closures; outdated funding records reduce buyer value significantly.
Investor Participation Details
Lead and follow investors, co-investors, and investor categories (VC firms, corporate investors, angels) should be clearly identified. Buyers use investor data to map capital flows and predict future rounds.
Stage Classification
Rounds must be accurately labeled (seed, Series A–D, mega-round, post-IPO). Mislabeling stages undermines buyer analysis of funding progression and timeline expectations.
Geographic and Sector Tagging
Company location, headquarters region, and industry vertical should be consistent and granular. Buyers rely on sector filters (AI, fintech, hardware) and geography (US vs. emerging markets) to segment datasets.
Companies Active Here
Who's buying.buying.
Monitor mega-rounds and capital concentration to identify market leaders and scaling opportunities. Use round data to inform allocation decisions and benchmark valuations across portfolio companies.
Reference funding benchmarks for their stage and sector to calibrate Series rounds, set valuation targets, and understand investor expectations. Track comparable rounds in infrastructure and generative AI.
Analyze funded startups to identify acquisition targets, track secondary market signals, and assess company maturity based on funding history and round velocity.
Aggregate round data into reports and dashboards for institutional subscribers, tracking VC trends, sector concentration, and funding velocity across regions and stages.
FAQ
Common questions.questions.
What is a mega-round and why does it matter?
A mega-round is a funding round exceeding $100 million. Mega-rounds concentrate large amounts of capital into a small group of high-performing startups, giving founders resources to scale fast, dominate distribution, and signal investor conviction in transformative solutions. In 2025–2026, mega-rounds became central to AI fundraising strategy.
How long does it typically take between funding rounds?
Seed to Series A averages 18 months, Series A to Series B typically takes 10–18 months, and Series B to Series C averages 27 months. Timelines vary by sector, market conditions, and company growth velocity.
Which sectors are attracting the most venture capital in 2025–2026?
AI dominates, accounting for 90% of global venture funding in February 2026 ($171 billion). Other hot sectors include hardware (autonomous vehicles, semiconductors, robotics), fintech (which reached nearly $14 billion in Q1 2025, a 50% YoY increase), and healthcare (16.5% of global VC deal activity in Q1 2025).
What is the typical Series A funding amount?
Series A startups raise an average of £30 million. Series B averages £45–50 million, and Series C averages £68 million. However, AI startups and deep-tech companies often secure significantly larger rounds depending on capital requirements and investor conviction.
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