46 Startup Success Rate Statistics for 2026

Only 10% of startups survive beyond 10 years, according to BLS data. First-time founders have an 18% success rate, while those who previously built a successful company hit 30%. 42% of startup failures trace back to building something the market never wanted.

Below, 46 startup success rate statistics grouped by survival timelines, failure causes, founder experience, funding dynamics, and regional differences.

In this guide, you'll find the most current startup success rate statistics organized by theme, with sources linked inline.

Key Takeaways

• 90% of startups fail overall, a rate consistent since the 1990s.
• Only 10% survive beyond 10 years, compared to roughly 30% for traditional small businesses.
• Poor product-market fit is the root cause of 43% of VC-backed shutdowns analyzed by CB Insights since 2023.
• First-time founders have an 18% success rate; founders with a prior exit achieve 30%.
• Startups that pivot at least once raise 2.5× more capital and achieve 3.6× better user growth than those that never adapt.

Startup Survival Rates Over Time

The survival odds for startups are low from the start. Most founders underestimate how sharply the mortality curve rises in years two through five.

1. 90% of startups fail overall, according to Startup Genome's 2024 analysis of global startup ecosystems.

2. BLS data puts the year-one failure rate at 20.4%, rising to 49.4% by year five and 65.3% by year ten.

3. The most dangerous period for startups isn't year one. 70% fail between years two and five, when early momentum fades and the original cash runs out.

4. Long-term survival is rare: only 10% of startups survive beyond 10 years, compared to approximately 30% for traditional small businesses.

5. Venture backing doesn't guarantee survival. 7.5 out of 10 VC-backed startups fail, according to Harvard Business School research cited by Stripe.

6. The startup failure rate has remained consistent since the 1990s; BLS data shows rates holding in a narrow band across decades, suggesting the core challenges of building a company are unchanged by advances in technology or tooling.

7. In CB Insights' analysis of 431 failed VC-backed companies, those startups had raised a combined $17.5 billion before dying, with the median company raising $11 million.

Failure Rates by Industry

Not all industries are equally unforgiving. Technology and information-sector startups face the steepest odds despite producing the most unicorns, while agriculture and manufacturing offer steadier survival curves.

8. Information-sector businesses (the closest BLS category to software and tech startups) have the lowest year-one survival rate at 74.9%, meaning roughly one in four fails within 12 months.

9. At the five-year mark, only 44.3% of information-sector businesses survive, and just 29.1% make it to year ten, the weakest long-term trajectory of any major industry in BLS data.

10. Businesses in agriculture, forestry, and fishing have the best survival profile: 87.5% survive year one, 66.2% survive five years, and 50.5% survive ten years.

11. Manufacturing startups perform significantly better than tech, with a 57.7% five-year survival rate and a 43.6% ten-year rate.

12. Healthcare and social assistance businesses reach a 55.1% five-year survival rate, outperforming the information sector by more than 10 percentage points at the same milestone.

Top Reasons Startups Fail

CB Insights analyzed 431 VC-backed companies that publicly shut down since 2023. "Ran out of capital" topped the list, but it's almost always the final cause of death, not the root problem.

13. 43% cited poor product-market fit as a primary cause of failure in the CB Insights post-2023 analysis.

14. 70% ran out of capital before shutting down, but CB Insights notes this is almost always the consequence of deeper problems, not the cause.

15. 29% failed due to bad timing or macro conditions. Climate, food tech, and blockchain saw disproportionate failures from companies that raised at 2021-2022 peak valuations on trends that didn't materialize.

16. 19% had unsustainable unit economics, meaning the cost to acquire and serve customers exceeded what those customers were worth.

17. Across a broader historical sample, 42% of all startup failures trace back to building something with no market need, the single most common root cause in CB Insights' multi-year research.

18. 23% fail due to team problems, including co-founder conflicts, skills gaps, or loss of key hires at critical stages.

19. 82% of small businesses that fail do so because of cash flow problems, per SCORE research.

20. 62% of startup failures result from losing momentum, market traction, or the inability to scale operations effectively.

21. Startup shutdowns are accelerating: 966 startups shut down in 2024 vs. 769 in 2023, a 25.6% increase, according to Carta data on U.S.-based companies.

22. AngelList tracked 364 winddowns in 2024, up 56.2% from 233 in 2023, a separate dataset confirming the same acceleration.

Warning Signs and Pivot Data

Failure rarely comes without warning. CB Insights identified three measurable early signals that consistently appear in the months before a startup shuts down.

23. 72% of startups saw their CB Insights Mosaic health score decline in the year before death, dropping by an average of 15%.

24. Partnership activity dropped 44% in the final 12 months before shutdown, compared to the preceding 12 months, as business relationships thinned out ahead of closure.

25. Two-thirds of failed startups were shrinking in headcount during the six months before shutting down.

26. Nearly one-third of failed VC-backed startups died with 10 or fewer employees, suggesting many failures happen at small scale before founders can course-correct.

27. Startups that pivot at least once raise 2.5× more capital and achieve 3.6× better user growth than those that never adjust their model, per Startup Genome 2024.

Founder Experience and Success Factors

Your background as a founder matters more than most people admit. Prior industry experience, previous failures, and age all correlate strongly with startup outcomes.

28. First-time founders have an 18% success rate, meaning the odds are against you the first time but not insurmountable.

29. Founders who previously failed have a slightly better 20% success rate, reflecting the value of hard-won operational knowledge.

30. Founders who previously built a successful company reach a 30% success rate, nearly double the first-timer baseline.

31. Founders who spent three or more years in the same industry as their startup are 85% more likely to launch a highly successful company than those with no relevant experience, per Harvard Business Review research.

32. The average age of founders of the highest-growth startups is 45, challenging the narrative that startup success belongs to founders in their twenties.

33. Successful founders learned from an average of 2.8 previous failures before achieving breakthrough success, per Startup Genome and Fortune, 2024.

Startup Funding and Venture Capital

Most founders never raise venture capital. Of those who do, the stakes are high: the 431 companies in CB Insights' failure analysis raised a combined $17.5 billion before dying.

34. Only 0.05% of all startups ever receive venture capital funding; 77% bootstrap entirely, relying on personal capital, early revenue, or angel investors.

35. Global VC investment reached $285 billion in 2024, per KPMG Venture Pulse, with funding highly concentrated among elite startups.

36. Total VC funding hit $469 billion in 2025, the highest since 2022, driven by AI mega-rounds, per CB Insights' State of Venture report.

37. 5.5 million new business applications were filed in the U.S. in 2023, a record high, per the U.S. Census Bureau Business Formation Statistics.

38. Median seed round size grew to $3.5 million in 2024, up from $1.5 million in 2019, per Carta's State of Private Markets.

39. Around 50% of all global venture funding in 2025 went to AI-related companies, the dominant sector for the third consecutive year, per Crunchbase.

40. Despite the VC surge, only 1% of startups ever become unicorns, valued at $1 billion or more, per CB Insights.

Global Ecosystem and Regional Rates

Where you build matters. Survival rates vary considerably by country, shaped by regulatory environments, capital access, and cultural attitudes toward failure.

41. About 35% of U.S. businesses survive 10 years, higher than the global startup average but still representing significant attrition.

42. The global startup ecosystem is valued at $3.8 trillion as of 2024, with the U.S., China, and UK leading by total ecosystem value, per Startup Genome.

43. An estimated 50 million new companies launch worldwide each year, approximately 11,000 every hour, per the Global Entrepreneurship Monitor.

44. In the UK, around 60% of startups fail within three years, per Beauhurst data tracking high-growth UK companies.

45. Startup formation is accelerating globally: +18.2% year-over-year growth in startup formation across developed economies in 2024, per Startup Genome.

46. AI-native unicorns reached the $1 billion milestone in an average of 6 years versus the typical 7 years for non-AI unicorns; some generative AI startups hit that valuation in as little as 8 months.

What These Statistics Mean for Your Startup

The data points to a consistent pattern: most startups fail not because the founders weren't capable or the idea wasn't interesting, but because they built something the market didn't want, ran out of money before finding traction, or assembled the wrong team.

The most actionable insight is timing. 70% of failures happen between years two and five, not in year one. That's the window when initial momentum fades, early customers churn, and the business model either proves itself or doesn't. If you're approaching that window, focus on the early warning signals: are you losing partnerships, shrinking your team, and watching key metrics erode? 72% of startups that eventually failed showed measurable health score declines a full year before shutdown.

Experience compounds significantly. The gap between an 18% success rate for first-timers and a 30% rate for previously successful founders isn't luck. It's pattern recognition, network depth, and the ability to identify bad bets early. Industry tenure matters too: spending 3+ years in the same industry correlates with an 85% higher likelihood of meaningful success.

The pivot data should reassure founders mid-course-correcting. Startups that pivot raise 2.5× more capital and grow users 3.6× faster. Staying attached to an original thesis that isn't working is a far more common path to failure than adapting too quickly.

Conclusion

The clearest takeaway from these 46 startup success rate statistics is that the odds are stacked against you, but they're not fixed. Your industry, experience, timing, and willingness to pivot all shift the curve meaningfully. For founders navigating years two through five, watch the CB Insights warning signals: declining health scores, thinning partnerships, and shrinking headcount consistently precede failure by 12 months. Catching those signals early, and being willing to adapt, is what separates the 10% that survive from those that don't.