Only 12% of Americans use Web3 wallets. What stops the other 88% and how to win them?
A survey of 3,428 U.S. adults reveals five adoption factors and a practical roadmap for teams building wallets, apps, and growth loops.
Sep 29, 2025Download the reportFree 49-page PDF — includes data, charts, and behavioral insights
This study by Mercuryo and Protocol Theory analyzes a nationally representative sample of U.S. adults to uncover what’s keeping Web3 wallets from mainstream use. It examines how people think about digital finance, what they expect from trusted technology, and where crypto wallets fall short.
The research also offers a roadmap to make Web3 tools as intuitive and trusted as Web2 ones, revealing a clear pattern: across all major adoption factors, Web3 wallets still lag behind fiat wallets and payment apps.
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75% find digital wallets intuitive vs 13% for Web3 wallets
Web3 still feels uncertain because it feels hard: when effort is high, people assume risk.
65% see others using digital wallets; only 15% see Web3 in action
Without social visibility, adoption stalls. People don’t trust or imitate what they never see.
64% say digital wallets fit their life vs 12% for Web3 wallets
Crypto tools remain outside everyday routines, disconnected from how people pay, save, and earn.
54% find digital wallets easy to test vs 11% for Web3 wallets
The first step feels costly. Users need a risk-free way to explore before committing real funds.
47% see clear benefits in digital wallets vs 13% for Web3 wallets
Most users don’t yet see what crypto does better. Without obvious value, switching feels unnecessary.
What the data shows is only half the story. The full report goes beyond surface-level stats, uncovering why these adoption gaps exist and what teams can do about them.
It breaks down the behavioral and psychological forces behind wallet adoption, from perceived risk to lifestyle fit, and outlines how each factor can be addressed through better design, messaging, and product strategy.




The shift from early adopters to everyday users won’t happen by accident. But it can be engineered. Learn how:
Free 49-page PDF — includes data, charts, and behavioral insights