Karsten Wenzlaff, Advisor
August 26th, 2025
February 18 2026 | NCFA Market Insight | Digital Assets And Payments
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On February 18 2026, McKinsey stablecoin transaction analysis reported that stablecoins accounted for up to $35T in annual on chain transaction volume, yet most of that activity doesn't represent real world payments.
McKinsey and Artemis estimate that actual stablecoin payments run at about $390B annually (about 0.02% of global payments volume), after filtering out trading, internal exchange movements, liquidity management, and automated smart contract loops.
Public blockchains record value movement with precision, but they don't label intent. A single economic action can trigger multiple on chain steps, and large pools of stablecoins can move between wallets inside the same exchange or custodian without representing end user commerce. McKinsey uses raw volume as a starting point, not a proxy for adoption, and the methodology section explains how the team tags payment like patterns while excluding activity that reflects market structure rather than payments.
CoinDesk echoes the same measurement problem by reporting that stablecoins moved about $35T in transfers while only about 1% ties to genuine payments such as remittances and payroll. Payments industry coverage also confirms that stablecoin usage in payments is growing, yet most current activity still concentrates in internal or trading adjacent flows.
Market trackers help validate scale but they don't classify intent. CoinMarketCap aggregates stablecoin market cap and trading volume across listed tokens, which helps you track stablecoin liquidity concentration and market growth, not payments versus non payments.
Stablecoin payments represent one slice of stablecoin utility, so a payments only lens understates what stablecoins do across trading, treasury movement, DeFi collateral, and settlement workflows.
At the same time, a raw volume lens overstates payment adoption. The right reporting approach breaks stablecoin activity into functional buckets and tracks each bucket with the data source that fits it. For payments, intent classification and tagging matter. For liquidity and market structure, market cap and trading metrics matter. For payment segmentation, the underlying research partner publishes its own breakdowns that support the McKinsey approach.
If you build payment rails, you should not pitch adoption using raw on chain volume. You should show where real payment flows concentrate, how fast those flows grow, and what integration path turns that activity into revenue.
If you sell to financial institutions, you should map stablecoin opportunity to specific payment problems such as cross border B2B settlement, payroll, and corridor based remittances, then quantify addressable volume using intent filtered benchmarks like the McKinsey and Artemis estimates.
If you track policy or competitiveness, you should treat stablecoins as a measurement case study. Blockchain data looks transparent, yet it still requires more granular classification, assumptions, and cross checks to translate value movement into economic activity.
If the market keeps quoting $35T as proof of payment adoption, who sets the standard for intent based stablecoin reporting so Canada can measure real productivity and competition impact with confidence
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