Artemis data shows Ethereum hosting $168.7 billion in stablecoin supply, representing 53.9% of the total across all tracked chains, with Tron holding $86.7 billion and every other network accounting for the remaining 18%.
The treemap tells the story visually. Ethereum and Tron together occupy roughly 82% of the chart by area. Everything else is fragmented across a long tail of networks, none of which individually exceed 6% of total supply.
Ethereum’s $168.7 billion represents more than double Tron’s $86.7 billion. The gap is structural, not marginal.
Ethereum’s dominance reflects its position as the primary settlement layer for institutional stablecoin activity, DeFi collateral, and on-chain dollar liquidity. USDT and USDC both maintain their largest individual pools on Ethereum.
Tron’s 27.7% share deserves context. The network has historically been the preferred rail for high-volume, low-fee USDT transfers, particularly in emerging markets and for peer-to-peer dollar transactions outside the Western financial system. Its $86.7 billion figure is not institutional DeFi activity. It reflects a different use case entirely, one centered on transfer utility rather than protocol collateral.
Below the top two, the distribution fragments sharply. Solana holds 5.4% of total stablecoin supply, BNB Chain holds 5.1%, and Arbitrum sits at 2.5%. Base accounts for 1.5%. Every other network in the dataset, including Polygon at 1.1%, Avalanche at 0.6%, Plasma at 0.6%, Aptos at 0.4%, TON at 0.3%, and HyperEVM at 0.3%, falls below the threshold where their individual share meaningfully affects the overall picture.
The combined share of every chain outside Ethereum and Tron is approximately 18%. Solana and BNB Chain account for most of that. The remaining fifteen-plus networks in the dataset share the rest.
That fragmentation reflects the current state of stablecoin liquidity across the multi-chain ecosystem. Capital has not distributed evenly as new chains have launched. It has concentrated where settlement certainty, liquidity depth, and protocol demand are highest.
Supply distribution and activity distribution are not the same metric. A chain can hold a small percentage of total stablecoin supply while processing a disproportionate share of transactions if average transaction sizes are smaller. Tron’s use case is an example of this dynamic in the other direction: high supply relative to the transaction profile of its primary users.
The Artemis data measures where stablecoins sit, not how frequently they move or what they are being used for. Both metrics matter for understanding stablecoin adoption. Supply share alone overstates Ethereum’s functional dominance in some contexts and understates Tron’s transactional relevance in others.
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