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Chronicles

The story behind the story

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An analysis of Crunchbase and PitchBook data: in 2025 so far, 36+ tech startups hit a $1B+ valuation, including seven in June, six in May, and four in April

With AI igniting an investor frenzy, every month, more startups obtain unicorn status.  —  Using data from Crunchbase and PitchBook

TechCrunch Dominic-Madori Davis

Context & Ripple Effects

The 2025 tally places the current funding cycle against earlier periods in which unicorn creation fluctuated: 57 startups reached $1B valuations in 2017, while 2021 also produced a larger cohort of companies valued above $10B. The significance is not a single financing event but the pace at which private-market valuations are again crossing a widely watched threshold.

The early-year count proved to be a partial snapshot: later Crunchbase and PitchBook coverage recorded more than 80 tech startups above $1B in 2025, with many tied to AI. That progression makes the April-to-June monthly cadence an early signal of a broadening private-capital run rather than an isolated month.

First-order effects

  • At least 36 tech startups gained unicorn-status valuations in 2025 through the period covered, adding a sizable new set of companies to the pool competing for late-stage capital and attention.
  • Crunchbase and PitchBook become key reference points for investors and founders tracking the monthly pace, which reached seven new unicorns in June after six in May and four in April.

Second-order effects

  • A faster flow of $1B valuations raises the competitive bar for startups seeking later rounds: investors can compare more newly priced private companies while founders face stronger pressure to demonstrate why their valuations can hold.
  • The later count of 80-plus unicorns during 2025 suggests that AI-linked companies, in particular, may draw a growing share of investor focus, leaving less attention for startups outside the most favored themes.

Third-order effects

  • If this pace persists, unicorn status may become a less selective signal of durable scale and more a marker of where private capital is concentrating at a given point in the cycle.
  • The pattern points toward a venture market increasingly shaped by valuation momentum around AI, though the data alone cannot establish whether those private marks will be sustained through later financing rounds or exits.

The trend: AI-linked private-market enthusiasm is expanding the unicorn pipeline and concentrating venture attention in a growing set of richly valued startups.