Ethereum hosts 72.6% of all tokenized ETFs as market eyes $20 trillion by 2030

Nearly three out of every four tokenized ETF products live today sit on Ethereum. That 72.6% market share isn’t a rounding error. It’s a structural moat.

The broader tokenization market, which includes everything from Treasury bills to equity funds represented as blockchain tokens, is projected to reach somewhere between $16 trillion and $20 trillion in tokenized assets by 2030. Ethereum has quietly positioned itself as the default rails for this migration, and the biggest names in traditional finance are the ones laying the track.

Why Ethereum keeps winning the institutional vote

Ethereum was the first programmable blockchain with meaningful liquidity, and institutions tend to go where the liquidity already is. The ERC-20 token standard has become something like the PDF of on-chain finance. Not because it’s perfect, but because everyone already knows how to use it. Wallets support it. Exchanges list it. Custody providers understand it.

Franklin Templeton offers one of the clearest case studies. Its BENJI token, which manages over $500 million, originally launched on Stellar. In 2023, the firm moved operations to Ethereum. That’s not a small decision for a company managing hundreds of billions in traditional assets.

Then there’s Ondo Finance, which has emerged as one of the most aggressive players in the tokenized securities space. The platform reports over $600 million in tokenized equities under management and more than $9 billion in cumulative trading volume for its products as of early 2026.

The DeFi composability advantage

Tokenized fund products on Ethereum are increasingly accepted as collateral in DeFi lending and trading protocols. That means a tokenized Treasury ETF isn’t just a yield-bearing instrument. It’s a building block. You can post it as collateral, borrow against it, or use it in structured products, all without leaving the Ethereum ecosystem.

The 72.6% figure likely includes some products on Ethereum-compatible Layer 2 networks as well, since estimates can vary based on methodology and whether EVM-based L2s are counted alongside mainnet.

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