
Consumer-Grade Crypto Global Census: Users, Income, and Sector Distribution
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Consumer-Grade Crypto Global Census: Users, Income, and Sector Distribution
The number of active users of consumer-grade encryption has long reached the tens of millions—just not within Silicon Valley’s or New York’s field of vision.
Author: Joey Shin, IOSG
I. Executive Summary
The crypto industry constantly claims it lacks users—but the data tells a very different story. Active users of consumer-grade crypto have long reached the tens of millions—yet they remain outside the field of vision of Silicon Valley and New York. These users are in Manila, Lagos, Buenos Aires, and Hanoi, using Coins.ph (18 million users), MiniPay (4.2 million weekly active users), and Lemon Cash (top-ranked finance app in Argentina)—yet English-language media has almost entirely ignored them. Conversely, the protocols Western VCs obsess over generate less daily activity than Tron’s shadow liquidation network does in just one hour.
Seven core conclusions: The “user problem” in crypto is fundamentally a geographic problem; Tron is the most important consumer-grade public chain—but no one in NYC or SF talks about it; on-chain e-commerce barely exists; the largest prediction market is centralized; revenue and user count often move inversely; the perpetual DEX war is already over; and yes—there *are* genuinely profitable consumer-grade crypto companies—but they don’t look like DeFi.
II. Payments & Neo-Banking: Users Already Exist—Just Not in VC’s Field of View
Conventional wisdom: Crypto must enter the mainstream and onboard the next billion users; wallet UX is the bottleneck.
Data shows: The next billion users are already here. The biggest bottleneck isn’t acquisition—it’s monetization.
First, consider current scale. Telegram Wallet claims 150 million registered users (unverified—low confidence); we’ll set that aside for now. Even verified data reveals staggering numbers: Coins.ph serves 18 million confirmed users in the Philippines, operating primarily on Tron’s USDT rails; MiniPay—the Opera-branded mobile stablecoin wallet built on Celo—had 14 million registered users and 4.23 million weekly active USDT users as of March 2026, with $153 million in monthly transaction volume and a 506% YoY increase in on-chain activity (high confidence—jointly disclosed by Tether, Opera, and Celo). Chipper Cash serves 7 million users across nine African countries and recently achieved cash-flow positivity. Lemon Cash has 5.4 million downloads and ranks #1 among finance apps in both Argentina and Peru; its MAU has quadrupled since 2021. Paga processes ₦17 trillion in annual transactions in Nigeria—but its crypto-related share remains unclear (medium confidence).

RedotPay is currently the only payments company that has simultaneously scaled *and* monetized: 6 million users, $158 million in annualized revenue, $10 billion in annualized transaction volume, and a 16x valuation increase since seed round (high confidence—The Block, CoinDesk, and company disclosures). RedotPay operates as a crypto-to-fiat card processor focused on Asia-Pacific, earning fees per transaction with zero chargeback risk—essentially a crypto-native Visa issuer-acquirer. It is the clearest case to date proving that consumer-grade crypto can deliver real, recurring, non-incentive-driven revenue at scale.
Another revenue standout is Exodus: Per its SEC Form 8-K filing, 2025 revenue was $121.6 million (high confidence)—one of the few publicly listed, audited consumer crypto companies in U.S. equities. Its revenue comes from swap and staking fees across 1.5 million MAU; its stock trades under ticker EXOD on the NYSE American exchange.
Ether.fi’s Cash product is the most compelling DeFi-native entrant: profitable in Year One, >70,000 cards issued, Cash contributing ~50% of total revenue, and $2.8 million in monthly revenue (high confidence—TokenTerminal daily verification). It proves a DeFi protocol can ship a genuine consumer product—though its 200,000 total users remain niche.
User acquisition in emerging markets is solved. Monetization is not. The gap between MiniPay’s 4.2 million weekly active users and its undisclosed (and likely extremely low) revenue may be the crypto industry’s single largest unsolved problem—and its greatest opportunity.
Marginal Improvement vs. Non-Incremental Value: Refining the Filter
A common objection to investing in consumer crypto is that crypto must deliver *non-incremental* value versus fiat solutions to justify integration costs. Data suggests this framing itself is flawed. Compare two of the clearest payment data points. MiniPay’s advantage over legacy mobile money products like M-Pesa is, at best, marginal for users—slightly cheaper transfers, slightly broader USD exposure, slightly wider cross-border coverage. It has 4.2 million weekly active users—and near-zero revenue. RedotPay’s advantage over traditional Visa issuer-acquirers is likewise marginal in consumer experience—swipe a card, buy a hot dog—but structurally different underneath: zero chargeback risk, instant cross-border settlement, no correspondent banking dependency. RedotPay generates $158 million in annualized revenue from 6 million users.
Both products have achieved PMF. The difference lies in whether their “marginal” advantages compound into pricing power. RedotPay’s “marginal but structural” advantage does; MiniPay’s “marginal and superficial” advantage does not. Zero chargebacks is a feature users won’t notice—but it permanently captures ~1.5% gross margin per transaction for the issuer. Slightly cheaper transfers is something users notice once, then stop valuing after habituation.
Thus, the correct filtering question isn’t “Is this non-incremental?” but rather “Does this marginal improvement map to a structural unit-economics feature?” If yes—chargeback risk, settlement speed, correspondent banking dependency, capital efficiency, custody cost—then a product that feels nearly identical to users can still compound into a massive business. If no, then even with tens of millions of users, the product holds no investment merit. Consumer crypto contains both types—and conflating them has already cost this category an entire generation of capital.
III. E-Commerce
Conventional wisdom: Crypto payments are gradually being adopted by e-commerce—just a matter of time.
Data shows: No on-chain e-commerce protocol tracked by DeFiLlama generates more than $10,000 in daily protocol revenue. Not “very little”—literally zero.
This section isn’t about early competitors battling for dominance—it’s about the *absence* of competitors. After auditing every protocol tracked by DeFiLlama and TokenTerminal, plus all company disclosures, we found exactly one notable player: Travala, a centralized travel booking platform reporting $7.17 million in revenue for February 2026 (medium confidence—self-reported, unverified). Travala is not a protocol—it’s a travel agency accepting crypto.
UQUID claims 220 million users and 50 million monthly visits (the 220 million figure actually represents users of partner platforms—e.g., Binance—not UQUID’s own users). The headline number is misleading, though its product catalog is indeed large: 175 million physical goods, 546,000 digital goods—with Tron’s share of its transaction volume doubling to 39% in H1 2025, and 54% of transactions priced in USDT-TRC20. But it discloses no revenue, and its user numbers do not withstand scrutiny.
Gift card and voucher provider Bitrefill generates ~$1 million in monthly revenue (low confidence—Growjo estimate, historically imprecise). Beyond that, there are no other notable on-chain e-commerce protocols.

What *does* exist is a shadow e-commerce economy running on Tron’s USDT rails—but it’s P2P and entirely informal. Coins.ph processes overseas Filipino worker remittances, channeling funds into retail consumption. Nigeria’s P2P ecosystem routes $59 billion in annual crypto transaction volume via OTC desks and USD savings accounts (Chainalysis), acting as a substitute for a broken banking system. In Argentina, SUBE transit top-ups happen via Tron USDT and cash OTC channels. Vietnamese freelancers receive salaries in TRC-20 USDT, then convert locally through P2P networks.
This is real economic activity—but it is *not* e-commerce infrastructure. No protocol captures any meaningful portion of it. The entire crypto-native e-commerce stack—product discovery, checkout, escrow, fulfillment tracking, dispute resolution, loyalty—is nearly blank.
How much of this demand survives compliance?
Before declaring this the crypto industry’s largest product gap, we must first answer a harder question: How much of today’s demand is structural—and how much is regulatory arbitrage? An honest assessment is that the vast majority is regulatory arbitrage. Today’s dominant use cases on the Tron-USDT e-commerce rail fall into three categories: USD exposure needs in capital-controlled jurisdictions (Argentina, Venezuela, Nigeria)—where users cannot legally hold USD through traditional channels; VAT, sales tax, and import duty avoidance—especially on digital goods and gift cards, where tax authorities struggle to verify buyer identity; and cross-border freelance/gig payments bypassing bank controls—primarily in Vietnam, Iran, and parts of Africa. UQUID’s catalog skews heavily toward gift cards, airtime top-ups, and digital goods—categories that exist precisely because they convert opaque crypto balances into spendable fiat equivalents with virtually no identity friction.
This is critical to the investment thesis, because regulatory arbitrage demand has wildly divergent survival rates under compliance. Domestic VAT and tax evasion demand evaporates the moment KYC is mandated at the merchant layer—these users aren’t paying for better checkout UX, but for “no tax ID field.” Once required, the value vanishes. FX control circumvention is more durable, because its root causes (Argentina’s capital controls, Nigeria’s naira restrictions, Venezuela’s bolivar collapse) are structural and long-term. Yet platforms serving these needs cannot operate legally in the corridors they require. They can scale—but cannot register, raise priced financing, or sign issuing partnerships with local fintechs—the very partnerships that would create defensible moats.
Opportunities that survive compliance are narrow but real: cross-border merchant settlement where traditional rails are slow or expensive—Latin America ↔ Asia, Africa ↔ anywhere, freelancer payouts—in any regulatory framework, because the value proposition is “stablecoins are structurally cheaper than SWIFT,” not “stablecoins help you bypass rules.” Cross-border B2B settlement between SMEs across jurisdictions also falls here—as does merchant settlement for cross-border digital services.
Thus, the “$5 trillion global e-commerce” framing is wrong for this opportunity. The truly investable surface area is closer to $20–40 billion in cross-border B2B and freelancer payments—a market whose value proposition transitions cleanly from gray to legal. Domestic crypto checkout for Western consumers—the thing most “crypto payments” narratives imagine—is *not* this opportunity—and never was. Protocols winning this category will look more like “Wise for stablecoins” than “Shopify for crypto.” For investors, the key question is whether a team is building for the market that *survives*, or the one that *disappears*.
IV. Speculation: The Perpetual War Is Already Over
Conventional wisdom: Decentralized perpetuals are a competitive market, with dYdX, GMX, and others vying for share against Hyperliquid.
Data shows: Hyperliquid has already won. GMX and dYdX aren’t competitors—they’re protocols in terminal decline.
Hyperliquid currently controls >70% of all open interest across on-chain perpetual venues, with $10.5 billion in monthly nominal trading volume and $58.8 million in fees generated in March alone—annualizing to >$640 million (high confidence—TokenTerminal, DeFiLlama, Dune). In its most recent reporting period, its fee revenue grew 56% MoM. It has executed >$800 million in HYPE buybacks—among the few protocols where token value capture is not theoretical.
Compare legacy players. GMX generates ~$5,000 daily revenue and ~500 daily active users. dYdX generates $10,000–$13,000 daily revenue, ~1,300 daily actives, and has seen an 84% YoY decline in fees. This isn’t struggling competition—it’s protocols whose race ended mathematically, not strategically.

edgeX’s data is noteworthy: verified 30-day fees of $14.7 million, 73% fee retention, running on StarkEx ZK-rollup. Our earlier dataset contained an aggregation error showing $2.5 million—corrected, edgeX now firmly ranks #2 in on-chain perpetual venues by revenue (high confidence—TokenTerminal daily verification). Whether edgeX sustains growth—or follows GMX/dYdX’s path—is the only unanswered question in this category.
Hyperliquid merits analytical attention because its victory wasn’t won on superior trading UX—it differs from GMX or dYdX on order execution, but those differences are real and yet still marginal. It won on liquidity depth, listing speed, and brand. Once perpetual liquidity concentrates at one venue, network effects become nearly unassailable: traders go where spreads are tightest, tightest spreads occur where volume is highest, and volume flows back to where traders congregate. The perpetual DEX category has completed its winner-take-all phase—deploying capital to compete with Hyperliquid is burning money.
Prediction Markets: This Is a Category-Selection Story—Not a Decentralization Story
Another speculative category worth examining is prediction markets. The mainstream narrative is that Polymarket validated the on-chain prediction market path. Data tells a different story—and the lesson has nothing to do with decentralization.

Kalshi is off-chain / quasi-CEX. The comparison itself is the insight.
Per Bloomberg (high confidence), Kalshi reached $1.5 billion in annualized revenue and a $22 billion valuation as of March 2026. It processed >$10 billion in trading volume in February 2026 alone, with six-month volume growth of 12x. Sports betting contributes 89% of its revenue. On-chain alternative Polymarket generates $4.7–$5.9 million monthly revenue and 688,000 MAU. Kalshi’s monthly revenue is roughly 25x Polymarket’s.
The lazy explanation is Polymarket has UX issues. Across most product dimensions, Polymarket is the better-built platform—cleaner order book, faster settlement, even more mature trader UX than Kalshi. UX simply cannot explain a 25x revenue gap. Polymarket’s “not charging yet” defense makes the contrast worse, not better: if Polymarket loses 25:1 with zero fees, the underlying revenue potential gap is *larger* than the surface numbers suggest.
The real explanation is category selection, distribution, and jurisdictional positioning—three things entirely unrelated to decentralization.
Kalshi chose sports. Sports is high-frequency, mass-market, and structurally recurrent: betting opportunities exist weekly, daily, yearly, with universally understood rules and self-renewing audiences each season. Polymarket positioned itself in politics and events—dispersed, election-cycle-dependent, structurally low-frequency. A user who came to Polymarket for the 2024 election has no reason to return in March 2026. A user who comes to Kalshi for the NFL returns every Sunday. Recurrent participation compounds into liquidity, liquidity compounds into tighter spreads, tighter spreads compound into more users. Polymarket picked the wrong end of the flywheel.
Second factor: distribution. Kalshi built a B2B2C model—integrating its order book into brokerage platforms, fintech apps, and partner ecosystems—rather than relying on direct-to-consumer acquisition. Polymarket is DTC-only, bearing full marketing cost per active trader. Critically, Kalshi operates legally under U.S. CFTC regulation, while Polymarket—following its 2022 settlement with the same regulator—is fully geo-blocked for U.S. users. The largest English-speaking prediction market audience is structurally unreachable by on-chain products. Kalshi doesn’t just win on execution—it owns a market Polymarket is legally prohibited from entering.
The implications for evaluating prediction market projects are concrete. The right due diligence questions are: (1) How frequent is recurrent participation in the chosen category? (2) Does the project have a B2B2C distribution path—or rely solely on direct acquisition? (3) What is its regulatory posture in its largest addressable market? Decentralization level is largely irrelevant to outcomes. Polymarket lost 25:1 because it chose the wrong category, the wrong distribution model, and the wrong jurisdiction—in roughly that order of importance.
Chapter Implications
Two takeaways from the speculation segment: (1) Categories where winners have clearly emerged *have* clear winners—capital should not flow there anymore; (2) Winners succeeded not via decentralization, UX, or tokenomics—perpetuals won on liquidity concentration, prediction markets on category + distribution. Both conclusions point to the DeFi mullet thesis: the most defensible consumer-facing positioning wraps a compliant front-end around a crypto-native back-end. Ether.fi Cash is the cleanest current example. CrediFi and next-gen adjacent payment products follow the same model.
V. Stablecoin Infrastructure: Tron Is the Most Important Consumer-Grade Public Chain—Yet No One Talks About It
Conventional wisdom: Ethereum L2s and Solana are the main consumer-grade public chains; Tron is an old network used mainly for cheap transfers.
Data shows: Tron’s monthly stablecoin transaction volume exceeds $600 billion—comparable to Visa—with 14.3 million MAU, 72.8 million USDT holders, and a stablecoin velocity of 0.2–0.3x—confirming its activity is payment-driven, not speculative. It hosts an entire uncharted protocol shadow economy—completely ignored by Western media.
The numbers are staggering. Tron’s USDT-TRC20 supply stands at $8.64 billion. Monthly transfer volume ranges from $600 billion to $1.35 trillion (lower bound high confidence—TronScan, TokenTerminal; upper bound includes double-counted volume). On March 29, 2026, single-day transfer volume hit $44.9 billion. The network processes >2 million transactions daily across 13.8 million MAU, with >80% of transaction value estimated below $1,000—and 60–70% below $100. This is a retail payment network—not a whale-dominated settlement layer.
Velocity metrics are key analytical signals. Tron’s USDT velocity of 0.2–0.3x means each dollar of USDT on Tron turns over approximately once every 3–5 months. Contrast this with speculative chains, where velocity can exceed 10x—rapidly cycling through DeFi protocols, leveraged positions, and launchpads. Tron’s stable, slow velocity is characteristic of a payment rail: money arrives, executes one real-world transaction, then sits in the wallet awaiting the next bill or remittance. Tron’s top 10 USDT holders control just 8.7% of supply—indicating broad, decentralized retail distribution.
Then there’s the shadow economy. Our audit of TronScan identified several uncharted, revenue-generating protocols with zero English documentation:

CatFee generates $82,000 in daily fees. Western crypto media has no idea what it is. TRONSAVE generates $863,000 in monthly revenue—its ownership remains unknown. These protocols operate within the shadow economies of Vietnam’s P2P networks, Nigeria’s OTC desks, Philippine remittance corridors, and Latin American cash channels. We estimate billions of dollars flow daily through these uncharted clearinghouses—dynamic addresses, collection-and-settlement infrastructure, and freelance payment rails—that effectively serve as banking systems for populations excluded from traditional finance.
Celo is the fastest-growing chain in this category—entirely driven by MiniPay’s integration with Tether. Independent user growth surged 506% YoY, with 12.6 million wallets and $153 million in December 2025 transaction volume (high confidence). Yet its scale remains a fraction of Tron’s.
Ethereum remains the institutional settlement rail—high fees limit retail use. Solana’s stablecoin activity is dominated by trading and launchpad traffic (pump.fun, Jupiter, Meteora), not payments. BNB Chain handles $60 billion in monthly stablecoin volume—mostly CEX settlement. TON is the wildcard—Telegram’s wallet integration drove massive registrations, but engagement depth remains unclear.
VI. Synthesis: The Regulatory Arbitrage Lifecycle & the DeFi Mullet
Every successful consumer-grade crypto category in this survey followed the same arc: launching in regulatory arbitrage; accumulating capital and users in the gray zone; confronting—or failing to confront—a compliance-triggering event; and emerging, in part, as legitimate financial infrastructure. Today’s revenue-generating protocols and companies sit at different stages of this lifecycle—and their stage determines the risk-return profile for investors.
Stage 1—Gray-Zone Launch. A protocol or service emerges to solve problems traditional finance refuses or fails to serve—almost always due to some regulatory constraint. User base is small, technically sophisticated, and tolerates legal ambiguity. Margins are extremely high, as regulatory risk is priced into fees. Tail risk is unbounded. Examples today: Uncharted shadow clearinghouses on Tron (CatFee, TRONSAVE), Nigeria’s P2P USDT desks, early pump.fun/NFTs, and even Hyperliquid’s early days.
Stage 2—User & Capital Accumulation. PMF becomes undeniable. Volume grows; users begin arriving from outside the core technical community. Western media takes notice—but regulators haven’t yet acted. Tron’s USDT economy sits here today—14.3 million MAU, >$600 billion monthly volume. pump.fun in 2024, Polymarket during the 2024 election cycle, and Hyperliquid today are also in this stage.
Stage 3—Compliance Transition. A triggering event—lawsuit, enforcement action, settlement, or proactive regulatory engagement—forces the project to choose legalization, fragmentation, or death. This is the highest-variance—and analytically richest—stage for investors. Polymarket’s 2022 CFTC settlement, pump.fun’s $500 million lawsuit, and any future enforcement actions against offshore perpetual venues all reside here. Most projects fail to fully navigate this stage.
Stage 4—Legitimate Economy. The surviving portion becomes durable, auditable, and fundable. Returns compress, as the business is now valued as fintech—not moonshot. Kalshi (CFTC-regulated, $22B valuation), Exodus (NYSE American, SEC-filed), Circle (S-1 disclosure), and RedotPay (fintech-comparable multiples) all sit here.
Once this arc is laid out, timing becomes concrete. Stage 1 offers maximum upside—but is essentially undeployable for institutional capital: one enforcement letter voids the underlying business, and underwriting is impossible. Stage 4 is fully priced; multiples are fintech multiples, asymmetry gone. Stage 2 has historically delivered the strongest VC returns in this sector—but only if a credible path through Stage 3 exists. Due diligence in Stage 2 is no longer “Does the product work?”—it clearly does. The question is whether the business model survives compliance.
Tron’s shadow protocols fail this test—because their *raison d’être* is avoidance itself. Once Vietnam imposes KYC on Tron USDT flows, CatFee’s $82,000 daily fees vanish instantly—users aren’t paying for utility, but for “no identity.” There is no compliant business model underneath. This is the fundamental distinction between “a protocol with PMF” and “a protocol with *only* regulatory-arbitrage fit.” Both can generate revenue—but only one is investable.
The DeFi mullet thesis emerges directly from this framework. Products like Ether.fi Cash and next-gen Latin American fintechs win because they wrap a compliant front-end around a crypto-native back-end. Users don’t see—or care—what chain is underneath. Regulators see a normal fintech. The protocol captures economics of “the cheapest rail.” None of these projects have launched tokens yet—this itself is a signal: value capture happens at the equity layer, not the token layer—and the institutional investors who win this cycle will be those holding equity positions, not token allocations.
Three structural opportunities recur throughout this briefing—directly derived from this synthesis: monetization infrastructure for emerging markets (users are present, revenue isn’t); the e-commerce rail for cross-border B2B and freelancer payments (the slice of the e-commerce gap that survives); and the uncharted Tron-adjacent protocol ecosystem, currently in Lifecycle Stage 2. All three are best approached via the DeFi mullet model; all three reward category selection over decentralization purity; and all three are undervalued today—because Western capital is still watching the wrong dashboard.
Data Quality Appendix
All data in this report carries one of the following three confidence ratings:
- High—multiple independent sources, on-chain verifiable, or regulatory filings (e.g., Exodus SEC 8-K, TokenTerminal daily verification, Tether/Opera joint disclosure)
- Medium—single credible source, or company self-report with partial independent corroboration (e.g., Travala self-reported revenue, Coins.ph Latka estimate)
- Low—press releases, unverified claims, or Growjo-level estimates (e.g., Telegram’s 150M registered users, UQUID’s 220M users, Bitget’s 90M users)
IOSG Ventures | Q1 2026 | Data sourced from TokenTerminal, DeFiLlama, TronScan, Dune, SEC filings, Sensor Tower, and direct company disclosures. Unless otherwise noted, all data is as of March 2026.
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