Technology
By Sydney TheCMO
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Where the Money Actually Went. Later-stage startups pulled in 57% of total capital. Early-stage companies got the remaining 43%.
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US Still Dominates, But the Map Is Shifting. The United States kept its grip on crypto venture activity.
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What the Slowdown Actually Means. It's probably too early to call this a sustained retreat.
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Crypto venture capital had a rough start to 2026. Total funding dropped to $4 billion in Q1, a 50% fall from the prior quarter, with fewer large late-stage deals dragging the…
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But it's not a collapse — not yet, anyway. Activity still cleared the lows seen during the 2023-2024 downturn, and early-stage deal flow held up reasonably well.
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Median deal sizes crossed $4.5 million despite a slight dip in valuations from Q4 2025. So the frequency of deals may be slowing, but individual rounds aren't exactly shrinking.
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The Trading, Exchange, Investing, and Lending sector dominated. It raised roughly $2.6 billion — close to 60% of the entire quarter's funding — across 74 deals.
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Founding year matters more than you'd think. Startups launched in 2018 led all cohorts in capital raised, pulling in $1.3 billion.
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The United States kept its grip on crypto venture activity. American companies captured over 70% of capital and 43.5% of deals in Q1.
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Read also: Crypto Card Monthly Volume Hits $7.8 Billion, Up 230% Since 2025
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The fundraising side of things is where things get genuinely ugly. Investors committed nearly $1.
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Why so few? Several things piling up at once. Macroeconomic pressure hasn't gone away. The wreckage from the 2022-2023 crypto market collapse still weighs on limited partners who…
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It's probably too early to call this a sustained retreat. Early-stage activity stayed solid, median deal sizes held up, and the industry's older, more established players are…
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But the fundraising data is harder to explain away. Eight new funds in a quarter is a low number.
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The sectors drawing the most money — trading, exchanges, lending, wallets — are also the ones with the clearest existing business models. That's probably not a coincidence.
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