Unpacking Stablecoins: $300 Billion Flows and Actual Market Demand

If someone asks about the total supply of stablecoins, the quick answer is “more than $300 billion.” But the real questions go much deeper: who actually holds these assets? How does the flow of funds move across the blockchain ecosystem? Do stablecoins serve as real payment tools or just idle digital liabilities? Through comprehensive data analysis from Dune and SteakhouseFi, these questions now have measurable and surprising answers.

Supply Landscape: Duopoly Dominance with a Roaring Challenger

In January 2026, the top 15 stablecoins across EVM, Solana, and Tron reached a total supply of $304 billion, a 49% increase from the previous year. But behind these numbers lies a much more complex story.

Tether’s USDT remains the leader with $197 billion, followed by Circle’s USDC with $78.9 billion (latest data March 2026). These two giants control 89% of the market share. Geographic distribution remains stable: Ethereum accounts for 58% ($176 billion), Tron 28%, Solana 5%, and BNB Chain 4%.

However, 2025 marked the explosion of challengers. USDS grew 376% to $6.3 billion. PayPal’s PYUSD surged 753% to $4.1 billion (latest update). Ripple’s RLUSD skyrocketed 1,803%, from $58 million to $1.1 billion. Meanwhile, Ethena’s USDe reached $5.92 billion, and USD1 from World Liberty Financial hit $2.15 billion after previously zero.

Not all challengers are moving upward. USD0 declined 66%, and USDe, after tripling from its October peak, ended the year with 23% growth. Overall, the stablecoin ecosystem is entering a true era of multi-issuer.

Where Funds Truly Flow: Holder Map

What sets this research apart from typical supply reports is the ability to track individual holder levels. In EVM and Solana, centralized exchanges (CEXs) hold the largest share with $80 billion, up from $58 billion a year earlier. This confirms stablecoins as a primary trading infrastructure.

Whale wallets control $39 billion. Yield farming protocols’ holdings nearly doubled to $9.3 billion, reflecting growth in on-chain yield strategies. Most interestingly: issuer addresses—including treasuries and mint/burn contracts—jumped 4.6 times to $10.2 billion, indicating aggressive responses from issuers to market demand.

Precise labeling yields valuable insights: only 23% of total supply is in “unknown” addresses. This 77% identification rate is very high for on-chain analysis, providing risk clarity rarely seen in blockchain research.

Concentration: 172 Million Holders, But Their Dominance Is Real

As of February 2026, 172 million unique addresses hold at least one of the top 15 stablecoins. USDT accounts for 136 million, USDC 36 million, DAI 4.7 million.

These three giants show healthy distribution: the top 10 wallets hold only 23-26%, with a Herfindahl-Hirschman Index (HHI—standard measure of market concentration, 0=full distribution, 1=monopoly) below 0.03. A different story awaits other stablecoins.

USDS, with a circulating supply of $6.3 billion, has 90% concentrated in 10 wallets (HHI 0.48). USDF reaches 99% (HHI 0.54). The most extreme is USD0: the top 10 hold 99%, with an HHI of 0.84, indicating that even among the largest holders, the supply is almost controlled by one or two entities.

This isn’t a flaw but a natural stage. Some tokens are newly launched, others intentionally created by institutional investors. But the reality is: interpreting their supply data requires a different approach than USDT or USDC. Concentration affects “slippage risk,” liquidity depth, and whether the “supply” reflects natural demand or activity by a few large players.

Transaction Volume: $10.3 Trillion in One Month

January 2026 recorded astonishing stablecoin transaction volume: $10.3 trillion across EVM, Solana, and Tron—more than double January 2025.

Distribution per chain is surprising and very different from the supply landscape. Base leads with $5.9 trillion despite only $4.4 billion in supply. Ethereum $2.4 trillion. Tron $682 billion. Solana $544 billion. BNB Chain $406 billion.

Per token, USDC dominates with $8.3 trillion in transfer volume—almost five times USDT’s $1.7 trillion—despite USDC’s supply being only 2.7 times smaller. USDC’s transfer speed and frequency are much higher. DAI records $138 billion, USDS $92 billion, USD1 $43 billion.

This data is intentionally neutral: it does not filter based on “real economic activity,” so total may include arbitrage, bot activity, internal routing, or other automated behaviors. This allows users to apply their own filters.

What Stablecoins Are For: Function Breakdown

Here, dataset precision shines. Transfers are not just recorded as “volume” but classified into specific on-chain activities. The difference between “knowing $10 trillion moved” and “understanding why.”

Market Infrastructure (the largest): $5.9 trillion for liquidity provision and DEX activity. Stablecoins serve as collateral for trading and on-chain market-making. DEX swaps account for $376 billion in direct trading activity.

Efficient Capital: Flash loans ($1.3 trillion) for arbitrage and liquidation cycles. Lending activities—supply, borrow, repay, withdraw—$137 billion, representing short-term structured credit.

Access Channels: CEX flows—deposits $224 billion, withdrawals $224 billion, internal transfers $151 billion (total $599 billion). Cross-chain bridges $28 billion. Stablecoins act as a bridge between centralized and decentralized finance.

Issuer Operations: Minting $280 billion, burning $200 billion, rebalancing $230 billion, other activities $106 billion. These are five times the $42 billion from last year, indicating issuer pressure in supply management.

Yield Protocols: Event-related $2.7 billion, a small but structurally significant segment for strategic activities.

In total, 90% of transfer volume can be categorized into these segments, providing clarity on stablecoin flows across blockchain layers.

Velocity: Same Token, Different Worlds

Daily circulation velocity (transfers divided by supply) may be the most underutilized indicator in stablecoin analysis. It reveals how actively tokens are used as a medium of exchange versus just stored.

USDC circulates fastest on Layer 2 and Solana. On Base, median daily turnover USDC reaches 14x—an astonishing figure reflecting high DeFi activity. On Solana and Polygon, it remains around 1x. Even on Ethereum, USDC’s velocity is 0.9x, meaning nearly all supply circulates daily.

USDT is fastest on BNB and Tron: daily turnover BNB reaches 1.4x (high trading activity), Tron 0.3x but stable (cross-border payment corridor). On Ethereum, USDT’s velocity is only 0.2x, with over $100 billion in largely dormant supply.

USDe and USDS are slower—by design, not bug. USDe’s daily turnover on Ethereum is just 0.09x, USDS 0.5x. Both are designed to be yield-bearing: USDe staked as sUSDe for delta-neutral Ethena strategies, USDS stored in Sky Savings Rate for protocol yield. Low velocity is intentional.

Same token, different usage patterns depending on the ecosystem. PYUSD on Solana: daily 0.6x, more than 4x faster than Ethereum (0.1x). The underlying blockchain matters more than the token itself.

Cross-Border Stablecoins: Local Stablecoin Ecosystems Emerge

This analysis focuses on 15 dollar-based stablecoins, but the full dataset tracks over 200 stablecoins representing more than 20 fiat currencies.

Euro: 17 tokens, $990 million in supply. Brazil’s Real: $141 million. Japanese Yen: $13 million. Plus tokens in NGN (Nigerian naira), KES (Kenyan shilling), ZAR (South African rand), TRY (Turkish lira), IDR (Indonesian rupiah), SGD (Singapore dollar), and others.

Total non-USD supply is currently only $1.2 billion, but 59 tokens are live across six continents—almost 30% of all tokens in the dataset. For context, 15 US dollars are roughly equivalent to 2,000 Kenyan shillings—and within months, infrastructure for KES stablecoins could create new access points for millions without traditional bank accounts.

On-chain infrastructure for local fiat stablecoins is being built. Data to track this already exists.

Just the Tip of the Iceberg

All insights here come from a few queries on a single dataset. We analyze 15 stablecoins with key indicators, but the full dataset covers nearly 200 stablecoins across more than 30 blockchains.

What makes this dataset different is the classification layer. Each transaction is mapped to its on-chain trigger and classified into one of nine activity categories using a deterministic framework. Each balance is broken down by holder type, with a standard system across all chains.

This level of detail can answer questions not yet asked: Which wallets are starting to accumulate new stablecoins pre-launch? How does concentration change in the days before a de-peg event? What are cross-chain bridge flows for euro-denominated stablecoins? How closely does minting/burning activity correlate with market pressure?

The dataset is designed for institutional analysis, research publication, risk modeling, compliance monitoring, and executive dashboards. The depth is there. Start exploring.