Why startups fail (and how to avoid the number one cause)
The top cause is neither money nor the team: it is the absence of a market. And it is detectable before you code.
Updated July 22, 2026 · 8 min read
Startups rarely fail for the reason people assume. In its analysis published on 5 March 2026, CB Insights examined 431 venture-backed startups that shut down since 2023 and identified a cause for 385 of them. Running out of capital tops the list — but the firm itself points out that this is almost always the final cause, not the root cause. Behind an empty bank account you overwhelmingly find a product the market did not want.
of startups that shut down cite poor product-market fit among the causes of failure.
The causes of startup failure according to CB Insights (2026)
- Running out of capital (70%) — The company can no longer fund its operations or raise new money. That's the death certificate, rarely the disease.
- Poor product-market fit (43%) — The product solves a problem nobody has, or one people do have without it hurting enough to be worth paying for. This is the subject of this guide, and the only major cause you can detect before building.
- Bad timing or macroeconomic conditions (29%) — A market that isn't ready yet, or a reversal in funding and demand along the way.
- Unsustainable unit economics (19%) — The product is useful, but each customer costs more than they bring in: acquisition too expensive, price too low, service costs too heavy.
The percentages add up to more than 100 because a failure almost always stacks several causes. The important pattern lies elsewhere: cause number 1 is a symptom of cause number 2. A company that finds its market raises more easily, sells faster and burns less. Removing the “no market” risk therefore defuses a good part of the table.
A word on the figure you have probably already come across: the famous “42% — no market need” comes from an earlier CB Insights study from 2014 covering 101 startups. It is still quoted as is a decade later. The order of magnitude has held, but you may as well rely on up-to-date data.
How many companies actually fail in France?
The “90% of startups fail” line that circulates everywhere matches no French public statistic. The figures from Insee tell a far less dramatic story — provided you look at the right scope.
of French companies created in 2018, excluding micro-entrepreneurs, are still active five years after being founded.
So seven companies out of ten make it past the five-year mark. The nuance is in the legal status: Insee measures 71% survival for incorporated companies against 63% for classic sole traders, and the sector weighs just as heavily (77% in finance and insurance, 64% in retail). The picture changes completely, however, among micro-entrepreneurs.
of French micro-entrepreneurs registered in 2018 are still active five years after registering.
This gap is largely explained by the cost of entry: registering as a micro-entrepreneur is free and instant, so many people start without having validated anything — and a significant share never even began trading. In other words, the lower the entry ticket, the more decisive upfront validation becomes.
Why smart people build products with no market
- Founder bias — You spend weeks on an idea and it becomes precious; every positive signal gets amplified, every negative one rationalised away.
- False “yeses” — Friends, family and surveys say “great idea!” out of politeness. A compliment is not a credit card.
- The mirror problem — “I have this problem, so others must too”: sometimes true, never sufficient. The problem has to be frequent, painful and already monetised.
- Building feels good — Coding produces visible progress every day; validating exposes you to rejection. You naturally pick comfort — three months later the product exists and the market doesn't.
The early warning signs to spot before you code
- Nobody searches for the problem on Google — no autocomplete, no long tail.
- The trend has been declining for years on Google Trends.
- No paying competitor — a market with no money circulating isn't waiting for your product.
- You can't describe the customer in one sentence (“it's for anyone who…” = for nobody).
- The feedback you get is encouragement (“good idea!”) and never commitment (an email, a pre-order, a meeting).
The validation process that removes the number one cause
A few days are enough, provided you look for behaviours rather than opinions:
- Measure real demand — Google searches, trend, competition, purchase intent. The method fits in one hour and €0.
- Get a measurable commitment — a pre-launch landing page: leaving an email address is a micro-payment in trust, far more reliable than an opinion.
- Build the minimum — only if the two previous steps are green, launch an MVP cut down to a single feature and aim for the first sale, not the first GitHub star.
Why startups fail: what to take away
A startup's failure rarely looks like an explosion; it looks like a quiet launch nobody was waiting for. The number one cause can be detected in a few days with public data and a landing page. Sondari automates the first step: demand, trend, competition and purchase intent cross-referenced in 30 seconds — so that “no market need” becomes a box you tick before coding, not a lesson you learn afterwards.
Frequently asked questions
What is the number one reason startups fail?
Poor product-market fit: the product works, but nobody really needed it. In the analysis CB Insights published on 5 March 2026, covering 431 funded startups that shut down since 2023, 43% of cases cite this cause. Running out of capital tops the list at 70%, but CB Insights notes it is almost always the final cause of death rather than the root problem. Poor product-market fit is the only major cause you can rule out before writing a single line of code.
Is lack of funding really a cause of failure?
It is usually a symptom rather than a cause. A startup runs out of money because it spent before proving a market existed, or because its growth no longer justified new investment. CB Insights ranks it first by frequency, but behind it there is almost always a demand or business-model problem.
What are the early warning signs of failure?
Four recur: nobody comes back after the first try, the only positive feedback comes from friends or peers, growth depends entirely on your direct sales effort, and you have to explain at length what the product is for before anyone understands. Each indicates the pain you are addressing is weaker than you assumed.
Do 90% of startups really fail?
That figure corresponds to no French public statistic. Insee measures 69% of companies created in 2018 (excluding micro-entrepreneurs) still active five years later — 71% for incorporated companies against 63% for sole traders. The picture is very different among micro-entrepreneurs, where only 28% are still active after five years, largely because registration is free and instant and therefore requires no prior validation.
How do you avoid the number one cause of failure?
By reversing the usual order: measure before you build. Concretely, check that people are already searching for a solution (Google autocomplete, forums), that interest is not collapsing (Google Trends), that someone already monetises the problem, then obtain a real commitment — a sign-up, better still a payment — before any serious development.
From theory to a verdict
Sondari does all of this automatically: real demand, trend, competition and purchase intent cross-referenced in 30 seconds.
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