I noticed that there's a lot of talk about the stablecoin market this year, but most focus only on supply numbers. The truth is, there's a deeper story that looks at what's really happening underneath.

Based on the latest data from Dune Analytics in partnership with SteakhouseFi, the combined supply of the top 15 stablecoins on EVM, Solana, and Tron reached $304 billion dollars in January 2026—representing a 49% year-over-year increase. USDT and USDC still lead, controlling 89% of the entire market. Ethereum is the largest chain in the stablecoin ecosystem with $176 billion, followed by Tron with $84 billion. Interestingly, even as supply grows, the distribution across chains remains relatively stable.

The truly exciting part? Challenger stablecoins are growing aggressively. USDS from MakerDAO grew by 376%, PYUSD from PayPal increased by 753%, and RLUSD from Ripple exploded by 1,803% from $58 million to $1.1 billion. Even the USD1 stablecoin went from zero to $5.1 billion. Not all have succeeded, though—USD0 decreased by 66%, and USDe ended with only 23% growth despite peaking in October.

But here’s a more interesting observation: ownership concentration varies greatly depending on the token. For USDT and USDC, the top 10 wallets hold only 23–26% of the supply—relatively decentralized. For other tokens like USDS, 90% is concentrated in the top 10 wallets. USD0? The worst case shows 99% in the top 10 wallets with an HHI of 0.84, meaning it’s almost controlled by one or two players. This isn’t necessarily bad for newer tokens, but it indicates you need a different lens when analyzing supply data compared to USDT or USDC.

Now, about actual usage—this is the part market observers often miss. In January, the total stablecoin transfer volume across chains reached $10.3 trillion. But the distribution is surprising: Base led with $5.9 trillion in volume despite only $4.4 billion in supply. Ethereum had $2.4 trillion, Tron with $682 billion. Token-wise, USDC dominated with $8.3 trillion in transfer volume—almost five times the $1.7 trillion of USDT, even though its supply is smaller.

Velocity data reveals how tokens are really used. USDC moves fastest on Layer 2s—in Base, the daily turnover rate hit 14x, showing intensive DeFi trading activity. On Solana and Polygon, around 1x daily. USDT moves fastest on BNB Chain with 1.4x daily turnover, reflecting active trading. On Tron, it’s lower at 0.3x but consistent, indicating its role in cross-border payments.

What caught my attention, though—was the breakdown of where the volume actually goes. The majority is in DEX liquidity provision and market making (5.9 trillion). Flash loans account for $1.3 trillion, showing sophisticated capital efficiency strategies happening on-chain. CEX flows—deposits, withdrawals, internal transfers—total $599 billion. Yield protocols are a smaller segment but growing, indicating increasing interest in structured on-chain strategies.

And here’s something most people overlook: the non-dollar stablecoin ecosystem is quietly expanding. There are over 200 stablecoins covering more than 20 fiat currencies—Euro tokens with $990 million in supply, Brazilian Real with $141 million, Yen, Nigerian Naira-based tokens, Kenyan Shilling, South African Rand, Turkish Lira, Indonesian Rupiah, Singapore Dollar, and many others. Total supply of non-dollar stablecoins is only $1.2 billion, but 59 tokens are available across 6 continents. This growth trajectory is especially interesting in emerging markets—imagine the potential as local currency stablecoin adoption increases in these regions.

What makes this dataset different from typical stablecoin analysis is the granularity of classification. Every transaction is mapped to its actual on-chain trigger and categorized into nine activity types using a deterministic priority framework. Every balance is classified by holder type with a standardized system across chains. This transforms raw blockchain logs into structured, comparable data—showing mechanism shifts, capital movements, concentration risks, and adoption patterns.

The questions this data can answer go beyond the surface: Which wallets started accumulating before a new stablecoin launches on an exchange? How does holder concentration change days before a de-peg event? What are the fund flows in cross-chain bridges for euro-denominated stablecoins? What’s the relationship between issuer mint/burn patterns and market pressure? Many more.

This is institutional-level analysis material—the kind of dataset designed for research reports, risk modeling frameworks, compliance monitoring, and executive dashboards. The depth of information available is significant for serious market participants who want to truly understand what’s happening in the stablecoin ecosystem beyond just watching price movements and supply numbers. Worth exploring if you’re interested in deeper market structure analysis.