Startup Statistics (2026)

Business creation in the US is running near record highs. Americans filed about 5.6 million business applications in 2025, per the Census Bureau's Business Formation Statistics, roughly in line with the elevated pace since 2020 and well above the annual average of about 3.47 million since 2005 (see the table below).

Applications jumped from 3.5 million in 2019 to 4.4 million in 2020, then to 5.4 million in 2021, and have stayed above 5 million every year since. Not every application becomes an employer business, so these figures are a leading indicator of formation rather than a count of surviving companies.

The pandemic did not kill entrepreneurship, it accelerated it. Business applications surged about 24% from 2019 to 2020 and have never returned to pre-pandemic levels, a structural shift the Census Bureau has tracked for six straight years of 5 million-plus filings (Census BFS).

Drivers include remote work, cheaper software, the creator and gig economy, and a wave of side businesses. The share of applications judged likely to become payroll employers has held up, suggesting the boom is not purely sole proprietors filing paperwork.

The real story is not how many start, but how many last. BLS Business Employment Dynamics data show about 77.9% of new US establishments survive their first year, 51.4% reach year five, and just 34.7% are still operating after ten years (see the chart and table below).

In plain terms, roughly one in five closes within twelve months and about half are gone within five years. Survival is steepest early: the curve falls fastest in the first two to three years, then flattens as the businesses that make it prove more durable.

You have probably heard that 90% of startups fail. That figure circulates endlessly in blog posts and pitch decks but is not grounded in reliable data, as CB Insights and BLS analysts both note. The government survival tables put five-year failure closer to 49%, not 90%.

The confusion comes from mixing definitions: venture-backed startups swinging for outsized outcomes fail more often than the average corner business, and "failure" can mean shutdown, acqui-hire, or simply not returning a fund. For the broad population of new businesses, roughly half survive five years.

When startups do fail, the reasons rhyme. CB Insights' analysis of 431 failed venture-backed companies found running out of capital at the top (70%), followed by poor product-market fit (43%), bad timing (29%), and unsustainable unit economics (19%) (see the table below).

Running out of cash is almost always the final cause of death, not the root problem: most companies that ran dry did so because they could not win or keep enough customers, which points back to product-market fit. An earlier CB Insights study of 110 post-mortems put "no market need" at the top (42%).

Where you start matters. Among industries, Information has the highest first-year failure rate at 28.4%, followed by professional and technical services (25.5%), while agriculture (14.3%) and accommodation and food services (14.7%) are among the most durable in year one (see the table below).

Geography matters too. First-year failure rates run highest in the District of Columbia (32.9%), Tennessee (29.3%), and Delaware (27.2%), and lowest in Washington (17.5%) and South Carolina (17.7%), per BLS data compiled by LendingTree (LendingTree).

Only a sliver of startups raise venture capital, but that sliver drives outsized innovation and wealth. US venture funding hit about $339 billion across roughly 16,700 deals in 2025, the second-highest total ever and just $19 billion shy of 2021's $358 billion peak (see the chart and table below).

The path was volatile: funding crashed from $358 billion in 2021 to $169 billion in 2023 as rates rose, then rebounded to $213 billion in 2024 and $339 billion in 2025. These are PitchBook-NVCA vendor estimates and are revised over time.

The 2025 rebound was almost entirely artificial intelligence. AI and machine-learning startups captured about 66% of all US venture dollars (~$222 billion), up from 47% in 2024 and roughly 10% in 2015. Just five companies, OpenAI, CoreWeave, xAI, Anthropic, and Databricks, raised nearly $60 billion between them.

Concentration was extreme: 487 mega-deals were 3.2% of deal count but 67% of value, and California alone drew about $191 billion, roughly 60% of all US venture capital. Half of all venture dollars went into about 0.05% of deals, leaving most non-AI sectors starved (PitchBook-NVCA).

Most startups climb a ladder of rounds. In 2025, median pre-seed rounds ran about $750K to $1.5 million on post-money valuations of $4-6 million, and median seed rounds ran about $3 to $3.8 million on $12-20 million valuations, per Carta and PitchBook data (vendor figures, flagged).

Round sizes rebounded from the 2022-2023 trough but sat 30-50% below the 2021 peak outside of AI. Angels, micro-VCs, and accelerators like Y Combinator write the earliest checks, typically $25K to $750K each through SAFEs or convertible notes.

A "unicorn" is a private startup valued at $1 billion or more, a term coined in 2013 when they were rare. Today there are about 1,523 of them worldwide, collectively worth roughly $4.3 trillion, with the US home to about 758, or nearly half (see the chart and table below).

The US and China together account for roughly three-quarters of all unicorns; China has about 343 and India and the UK about 64 and 61 respectively. AI accounted for more than half of the new unicorns minted in 2025, and AI-native companies are reaching $1 billion valuations faster, in about six years versus the historical seven.

Funding only matters if investors eventually cash out through an IPO or acquisition, and exits stayed choppy in 2025. Q3 2025 alone generated about $74.5 billion in exit value across 362 exits, the strongest quarter since the pandemic era, with seven unicorns completing IPOs (PitchBook-NVCA).

Still, the IPO window opened only partway: most headline listings clustered in policy-favored areas like crypto and national security, while the broad backlog of aging unicorns kept waiting. The aggregate value of US unicorns stands near $4.3 trillion, much of it still locked up privately.

Young firms punch far above their weight in job creation. Census research found that firms less than six years old accounted for about 11% of employment but 27% of gross job creation, and firms aged one to five years generate roughly two-thirds of net new jobs.

Across OECD economies the pattern is even sharper: young firms are about 20% of employment but create nearly half of all new jobs (OECD). Startups are volatile employers, but their churn is where a lot of the economy's dynamism comes from.

The startup world is a barbell: millions of new businesses with coin-flip survival odds on one end, and a handful of venture-backed unicorns capturing enormous value on the other. Most everyday investors cannot buy into private startups before an IPO, and the base rates, half fail within five years, are a reminder of how concentrated the winners are.

For public-market investors, the practical takeaway is that the outcomes are power-law, not average: a few names drive most of the returns. That argues for diversification and for owning the winners through broad indexes or thematic baskets rather than betting the outcome of any single young company.