This burst of activity followed even earlier records. In January 2026, the Fusaka network upgrade catalyzed an all-time high for wallet creation, with an average of 327,000 new wallets per day and a single-day record of 393,600 new wallets on January 11 . Santiment itself noted that this growth was happening even as ETH prices moved sideways, suggesting genuine new user adoption for exploring on-chain applications rather than purely speculative trading
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Santiment explicitly attributes Ethereum's lead to DeFi, NFTs, and staking . These three categories represent the core of a programmable, active financial ecosystem that constantly generates demand for new wallets.
The 3.3x difference in wallet counts is not merely a popularity contest. It reveals a fundamental structural divergence between the two largest networks.
Ethereum has evolved into an active, programmable financial platform. Every DeFi position, NFT mint, staking deposit, and new Layer-2 bridge creates a need for a new or active wallet. Users must interact with non-custodial wallets to participate in the economy, leaving a permanent trace in the holder count . The post-Merge yield mechanism further encourages this behavior, incentivizing users to keep ETH in active wallets rather than moving it to cold storage.
Bitcoin’s narrative remains focused on being a passive store of value for long-term storage. Its primary use case is "HODLing." Santiment’s data shows Bitcoin’s non-empty wallet count at 58.45 million in March 2026, a number that has grown relatively slowly . Many Bitcoin holders consolidate their coins into cold storage or custody solutions, a behavior pattern that does not contribute to the creation of new on-chain addresses.
Ethereum’s approach to 200 million wallets is a direct result of its evolution into a global, yield-generating computer. Every interaction on this settlement layer requires a wallet. Bitcoin’s 59 million wallets, by contrast, represent the digital equivalent of vault doors—highly secure, but opening far less frequently. The gap is on-chain proof of two fundamentally different network architectures pulling apart in real-time user behavior .
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