Global Census of Consumer Crypto: Users, Revenue, and Sector Distribution
- Core Viewpoint: Consumer crypto applications already have tens of millions of real, active users, primarily concentrated in emerging markets. However, Western capital generally underestimates this reality due to geographical and cognitive biases. The real challenge is not user acquisition, but converting user scale into sustainable revenue. Successful models often combine a compliant front-end with a crypto-native back-end.
- Key Elements:
- Large but Overlooked User Base: Applications built on public chains like Tron and Celo (e.g., Coins.ph, MiniPay) have tens of millions of active users in emerging markets, processing payment volumes comparable to Visa, yet they receive little coverage in Western media.
- Successful Monetization Cases Exist: Companies like RedotPay (annual revenue of $158 million) and Exodus (annual revenue of $121.6 million) prove that consumer crypto businesses can achieve scaled, recurring revenue. The key to their model lies in converting marginal but structural advantages (e.g., zero chargeback risk) into pricing power.
- Real Landscape of E-commerce and Prediction Markets: On-chain native e-commerce protocols generate almost zero revenue, while the centralized prediction market Kalshi (annualized revenue of $1.5 billion) far surpasses the decentralized Polymarket. The decisive factors are category selection, distribution channels, and regulatory positioning, not the degree of decentralization.
- Perpetual DEX Market is Settled: Hyperliquid, leveraging its liquidity network effect, already dominates the market (controlling over 70% of open interest). Early competitors like GMX and dYdX are in decline, and capital should no longer be deployed in this sector.
- Tron is the Core Consumer Public Chain: The Tron network processes over $600 billion in monthly stablecoin transaction volume. User behavior is dominated by small retail payments, and it supports a vast but Western-unnoticed shadow protocol economy (e.g., CatFee).
- Investment Must Focus on the Regulatory Arbitrage Lifecycle: Successful consumer crypto projects often start with regulatory arbitrage but must ultimately navigate the test of compliance. The key to investment is judging whether their business model can survive post-compliance, not just looking at current product-market fit.
- The "DeFi Mullet" Model Prevails: The most defensible model is wrapping a crypto-native back-end with a compliant front-end (e.g., Ether.fi Cash), allowing regulators to see a traditional fintech, while the protocol captures the value of crypto's efficiency advantages.
Original Author: Joey Shin
Original Source: IOSG Ventures
The crypto industry constantly complains about a lack of users, but the data tells a completely different story. Active users in consumer crypto have long reached tens of millions; they're just not in the sightlines of Silicon Valley and New York. These users are in Manila, Lagos, Buenos Aires, and Hanoi, using platforms like Coins.ph (18 million users), MiniPay (4.2 million weekly active users), and Lemon Cash (Argentina's #1 finance app) daily, yet they are almost entirely unreported by English-language media. Conversely, the daily active volumes of the protocols endlessly debated by Western VCs don't even match an hour's worth of activity on Tron's shadow clearing network.
Seven Core Conclusions: The crypto user problem is fundamentally a geography problem; Tron is the most important consumer 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 numbers often move inversely; The perpetual DEX war is over; There are indeed consumer crypto companies making real money—they just don't look like DeFi.
Payments & Neo-Banking: Users Already Exist, Just Not in VC's Line of Sight
Common Perception: Crypto needs to go mainstream, needs to bring in the next billion users, wallet UX is the bottleneck.
Data Shows: The next billion users are already here. The biggest bottleneck isn't user acquisition, it's monetization.
First, look at the existing scale. Telegram Wallet claims 150 million registered users (unverified—low confidence), let's set that aside. Just looking at verified data, the user base is already staggering: Coins.ph has 18 million confirmed users in the Philippines, primarily running on Tron's USDT rails; MiniPay, Opera's mobile stablecoin wallet 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 506% YoY growth in on-chain activity (high confidence—joint disclosure from Tether/Opera/Celo). Chipper Cash serves 7 million users across 9 African countries, recently achieving cash flow positivity. Lemon Cash has 5.4 million downloads, ranking #1 in finance apps in both Argentina and Peru, with MAU quadrupling since 2021. Paga processes 17 trillion Naira annually in Nigeria, but its crypto-related share is unclear (medium confidence).

The only payments company currently achieving both scale and revenue is RedotPay: 6 million users, $158 million annualized revenue, $10 billion annualized transaction volume, with a valuation 16x since its seed round (high confidence—The Block, CoinDesk, company disclosures). RedotPay's model is a crypto-to-fiat card processor for the Asia-Pacific region, taking a cut per transaction with zero chargeback risk—essentially a crypto-native Visa issuer-acquirer. It's the clearest current case study proving consumer crypto can generate real, recurring, non-incentive-driven revenue at scale.
Another revenue standout is Exodus, which reported $121.6 million in revenue for 2025 according to its SEC 8-K filing (high confidence), one of the few publicly listed and audited consumer crypto companies in US equities, trading under EXOD on the NYSE American. Its revenue comes from exchange and staking fees from its 1.5 million MAU.
Ether.fi's Cash product is the most notable DeFi-native entrant: profitable in its first year, over 70,000 cards issued, Cash currently contributes ~50% of total revenue, generating $2.8 million monthly revenue (high confidence—TokenTerminal daily verification). It proves a DeFi protocol can build a true consumer product—though its total user base of 200k remains 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 (presumed very low) revenue is perhaps the largest unsolved problem—and the largest opportunity—in crypto.
Marginal Improvements vs. Non-Incremental Value: Refining the Filter
A common rebuttal to investing in consumer crypto is that crypto must offer non-incremental value relative to fiat solutions to offset integration costs. Data suggests this test is framed incorrectly. Compare the two clearest data points in the payments category. MiniPay's advantage over traditional mobile money products like M-Pesa is, at best, marginal in the user's hands—slightly cheaper transfers, slightly broader USD exposure, slightly wider cross-border coverage. It has 4.2 million weekly active users and essentially zero revenue. RedotPay's advantage over traditional Visa issuer-acquirers is also marginal in consumer experience—swipe, buy a hot dog—but structurally different at the mechanism level: zero chargeback risk, instant cross-border settlement, no correspondent bank dependency. RedotPay generates $158 million in annualized revenue from 6 million users.
Both products have found product-market fit. The difference is that RedotPay's "marginal but structural" advantage compounds into pricing power, while MiniPay's "marginal and superficial" advantage does not. Zero chargeback risk isn't a feature users notice, but it's a ~1.5% gross margin differential captured permanently by the issuer on every transaction. Slightly cheaper transfers are something users notice once and stop valuing after getting used to it.
This leads to the correct screening question: not "Is this non-incremental?" but "Does this marginal improvement map onto a structural feature of unit economics?" If the answer is yes—chargeback risk, settlement speed, correspondent banks, capital efficiency, custody costs—then a product that feels almost unchanged to the user can still compound into a massive business. If the answer is no, then even with tens of millions of users, the product lacks investment merit. Consumer crypto has both types, and conflating them has cost this category a whole generation of capital.
E-Commerce
Common Perception: Crypto payments are gradually being adopted by e-commerce; it's just a matter of time.
Data Shows: There is not a single on-chain e-commerce protocol on DeFiLlama with daily protocol revenue exceeding $10,000. Not "few"—literally zero.
This chapter isn't about a battle between early contenders; it's about the absence of contenders. After auditing all protocols tracked by DeFiLlama and TokenTerminal and all public company disclosures, we found only one noteworthy player: Travala, a centralized travel booking platform with $7.17 million in revenue for February 2026 (medium confidence—self-reported, no independent verification). Travala is not a protocol; it's a travel agency that accepts cryptocurrency.
UQUID claims 220 million users and 50 million monthly visits (the 220 million figure actually represents users of partner platforms—Binance, etc.—not UQUID's own users). The headline numbers are misleading, but its product catalog is substantial—175 million physical SKUs, 546k digital SKUs—with Tron's share of its transaction volume doubling to 39% in H1 2025, and 54% of transactions denominated in USDT-TRC20. However, there is no public revenue data, and the user numbers don't hold up to scrutiny.
Gift card and voucher service Bitrefill has approximately $1 million in monthly revenue (low confidence—Growjo estimate, historically imprecise). Beyond that, there are no other notable on-chain e-commerce protocols.

What truly exists is a shadow e-commerce economy running on Tron's USDT rails—but it's P2P and entirely informal. Coins.ph handles remittances for overseas Filipino workers, with funds flowing into retail consumption. Nigeria's P2P ecosystem channels $59 billion in annual crypto volume via OTC desks and dollar savings accounts (from Chainalysis), acting as a substitute for a broken banking system. In Argentina, SUBE public transport top-ups are done via Tron USDT and cash OTC channels. Vietnamese freelancers receive salaries in TRC-20 USDT, exchanging them via local P2P networks.
This is real economic activity—but it's not e-commerce infrastructure. No protocol is truly capturing any part of it. The entire crypto-native e-commerce stack—product discovery, checkout, escrow, fulfillment tracking, dispute resolution, loyalty—is almost entirely blank.
How Much of This Demand Survives Formalization?
Before declaring this crypto's biggest product gap, a harder question must be answered: How much of the existing demand is structural, and how much is regulatory arbitrage? An honest assessment is that the vast majority is regulatory arbitrage. Today's mainstream use cases on the Tron-USDT e-commerce rails fall into three categories: Dollar exposure needs for users in capital-controlled regions (Argentina, Venezuela, Nigeria)—users who cannot legally hold dollars through traditional channels; VAT, sales tax, and import duty evasion, especially on digital goods and gift cards—where tax authorities struggle to verify buyer identity; and cross-border payments for freelancers and gig workers bypassing banking controls—primarily in Vietnam, Iran, and parts of Africa. UQUID's catalog heavily skews towards gift cards, mobile top-ups, and digital goods—categories that exist precisely because they can convert opaque crypto balances into spendable fiat equivalents with minimal identity friction.
This is crucial for the investment thesis because regulatory arbitrage demand has vastly different survival rates under formalization. Domestic VAT and tax evasion demand goes to zero the moment merchant-level KYC is enforced—these users aren't paying for a better checkout experience but for "no tax ID field"; the value disappears once that field is required. Demand for circumventing forex controls is more durable because the underlying problem (Argentina's capital controls, Nigeria's Naira controls, Venezuela's Bolivar) is structural and long-term. But platforms serving this demand cannot legally operate in the required corridors. They can grow large but cannot register, cannot raise priced financing, and cannot sign issuing partnerships with local fintechs—partnerships that would be key to their moat.
The opportunity that survives formalization is narrow but real. Cross-border merchant settlement where traditional rails are slow or expensive—LatAm↔Asia, Africa↔anywhere, freelancer payouts—works under any regulatory framework because the underlying value proposition is "stablecoins are a structurally cheaper rail than SWIFT," not "stablecoins help you bypass rules." B2B settlement between SMEs in different jurisdictions also falls into this category, as does merchant settlement for cross-border digital services.
This leads to the conclusion that framing this opportunity as "the $5 trillion global e-commerce market" is wrong. The truly investable surface area is closer to the $200-$400 billion cross-border B2B and freelancer payments market—where the value proposition can transition from the grey zone to the legitimate market. Domestic crypto checkout for Western consumers—what most "crypto payments" narratives imagine—is not and never was this opportunity. The protocol that wins 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 market that disappears.
Speculation: The Perpetuals War Is Long Over
Common Perception: Decentralized perpetuals is a competitive market, with dYdX, GMX, etc., vying for share against Hyperliquid.
Data Shows: Hyperliquid has already won. GMX and dYdX are not competitors; they are protocols in terminal decline.
Hyperliquid currently controls over 70% of all open interest across on-chain perpetual venues, with $105 billion in monthly notional volume and $58.8 million in fees in March alone—annualizing to over $640 million (high confidence—TokenTerminal, DeFiLlama, Dune). Its fees grew 56% quarter-over-quarter in the most recent reporting period. It has executed over $800 million in HYPE buybacks, one of the few protocols where token value capture is not just talk.
Contrast with the old guard. GMX generates $5,000 in daily revenue with ~500 daily active users. dYdX generates $10,000-$13,000 in daily revenue with 1,300 daily active users, with fees down 84% year-over-year. These aren't struggling competitors—these are protocols whose runway has ended mathematically, not strategically.

edgeX's data is noteworthy: verified 30-day fees of $14.7 million, 73% fee retention rate, running on StarkEx ZK-rollup. An aggregation error in our initial dataset showed $2.5 million—corrected, edgeX solidly ranks second among on-chain perpetual venues by revenue (high confidence—TokenTerminal daily verification). Whether edgeX can sustain growth or follow the GMX/dYdX path is the only unanswered question in this category.
Hyperliquid deserves analytical attention because its victory wasn't due to better trading UX—its differences from GMX or dYdX in order execution are real but marginal. It won on liquidity depth, listing speed, and brand. Once perpetual liquidity concentrates at one venue, the network effect becomes nearly unassailable: traders go where spreads are tightest, spreads are tightest where volume is highest, and volume goes back to where traders are. The perpetual DEX category has completed its winner-takes-most phase. Deploying capital against Hyperliquid in this category is akin to setting money on fire.
Prediction Markets: This Is a Category Selection Story, Not a Decentralization Story
Another speculative category worth examining is prediction markets, where the mainstream narrative is that Polymarket validates the on-chain prediction market path. The data tells a different story—and the lesson has nothing to do with decentralization.

Kalshi is off-chain / CEX-like. The comparison itself is the insight.
According to Bloomberg (high confidence), as of March 2026, Kalshi reached $1.5 billion in annualized revenue with a $22 billion valuation. It processed over $10 billion in volume in February 2026 alone, with volume growing 12x in six months. Sports betting contributes 89% of its revenue. The on-chain alternative, Polymarket, generates $4.7-$5.9 million in monthly revenue with 688k MAU. Kalshi's monthly revenue is roughly 25x that of Polymarket.
The lazy explanation is that Polymarket has UX issues. By most product dimensions, Polymarket is better built—cleaner order book, faster settlement, a more refined trader experience than even Kalshi. UX cannot bear the weight of a 25x revenue gap. The defense that Polymarket "hasn't started charging fees yet" actually makes the comparison worse, not better: if Polymarket is losing 25-to-1 while charging zero fees, the underlying revenue potential gap is even larger than the surface numbers suggest.
The real explanation lies in category selection, distribution channels, and jurisdictional positioning—three things that have nothing to do with decentralization.
Kalshi chose sports. Sports is a high-frequency, mass-market, structurally recurring category: betting opportunities exist every week, day, and year; rules are universally understood; the audience renews itself with new seasons. Polymarket positioned itself in political and event markets—these are fragmented, dependent on election cycles, and structurally low-frequency. Users who came to Polymarket for the 2024 election have no reason to return in March 2026. Users who come to Kalshi for the NFL have a reason to return every Sunday. Recurring participation compounds into liquidity, liquidity compounds into tighter spreads, and tighter spreads compound into more users. Polymarket positioned itself on the wrong end of the flywheel.
The second factor is distribution. Kalshi built a B2B2C model, plugging its order book into brokerage platforms, fintech apps, and partner integrations, rather than relying on direct-to-consumer acquisition. Polymarket is DTC-only, bearing the full marketing cost for every active trader. Crucially, Kalshi operates legally under CFTC regulation within the US, while Polymarket—following its 2022 settlement with the same agency—is completely geo-blocked for US users. The largest English-speaking prediction market audience is structurally inaccessible to the on-chain product. Kalshi didn't just win on execution; it owns a market Polymarket is legally barred from entering.
The implication for evaluating prediction market projects is specific. The proper due diligence questions are: (1) What is the recurring participation frequency of the chosen category? (2) Does the project have a B2B2C distribution path, or does it rely on direct acquisition? (3) What is the regulatory posture in the largest addressable market? The degree of decentralization is largely irrelevant to the outcome. Polymarket loses 25-to-1 because it chose the wrong category, the wrong distribution model, and the wrong jurisdiction—roughly in that order of importance.
Implications of This Chapter
Two key takeaways from the speculation sector: (1) In categories that have already produced a winner, a winner has truly emerged, and capital should no longer be deployed there; (2) The mechanism of victory isn't decentralization, UX, or tokenomics—perpetuals win through liquidity concentration, prediction markets win through category selection plus distribution. Both conclusions point to the DeFi mullet proposition: the most defensible consumer positioning is wrapping a compliant front-end around a crypto-native back-end. Ether.fi Cash is the cleanest current case study. CrediFi and the next generation of payments-adjacent products follow the same pattern.
Stablecoin Infrastructure: Tron Is the Most Important Consumer Public Chain, Yet No One Talks About It
Common Perception: Ethereum L2s and Sol


