# Brazil Cards and Payments Market Size, Share & Forecast, 2025-2032 --- ## Market Overview # CHAPTER 1 - Market Overview The Brazil Cards and Payments Market serves everyday purchases, instalment transactions and remote commerce through credit, debit and prepaid instruments. Credit is commercially important because interest-free instalments accounted for 41% of credit-card purchase value in 2024. Merchants gain conversion and larger baskets; issuers and acquirers compete over acceptance costs, credit exposure and settlement services. Brazil's national card infrastructure operates across physical terminals, online checkout and mobile wallets. The industry association recorded 48.1 billion card transactions in 2025, up 5.4% from 2024. Scale benefits acquirers that can distribute terminals, serve smaller merchants and manage fraud across channels; transaction count alone, however, does not establish an acquirer's share of TPV. Regulation directly shapes payment economics. Banco Central do Brasil Resolution 246 sets interchange limits for debit and prepaid card transactions, while card-bill disclosure rules that took effect in 2024 affect the presentation of credit costs. Interchange, the merchant discount rate and issuer interest are different revenue streams and must be assessed separately. Pix changes the competitive setting without belonging in card TPV. Banco Central reported approximately 80 billion Pix transactions and USD 6,530 billion in transferred value in 2025, using the calculator's fixed exchange rate for the latter comparison. Those flows include transfers beyond retail purchases. Operators should therefore test substitution by use case, particularly recurring and low-value payments, rather than compare total Pix value directly with card purchases. ## KPIs at a Glance * **Market Value:** USD 740 billion of modelled card TPV (2025). * **Dominant Product Type:** Credit cards, 71.4% of the calculator's 2024 modelled TPV. * **Industry Transaction Count:** 48.1 billion card purchases (2025, industry-reported). * **Forecast CAGR:** 10.23% (2025-2032, calculator base scenario extended). ## Future Outlook The calculator supplies annual base, bull and bear card-TPV scenarios through 2029. This report extends each scenario through 2032 using its respective stated growth assumption; the extension is a report projection, not a separately supplied calculator result. Credit-card instalments, remote purchases and contactless acceptance support the base case, while Pix substitution and tighter credit availability could restrain it. The forecast measures gross purchase value and should not be read as processor revenue or merchant profit. The published 2025 industry total is above the calculator estimate, so the model has a visible starting-level discrepancy. Its 2025-2032 growth rate remains an internally consistent scenario assumption, but a buyer comparing absolute forecasts with regulatory or association statistics should first reconcile coverage and card-type definitions. Revenue opportunities depend on transaction mix and realised fees: volume growth does not ensure that acquirers retain the same merchant discount rate. | Base Year | Historical Period | Forecast Period | Historical Model CAGR | Forecast Model CAGR | | --- | --- | --- | --- | --- | | 2025 | 2020-2025 | 2025-2032 | 16.86% | 10.23% | --- ## Scope of the Report # CHAPTER 2 - Scope of the Market * **Geographic Coverage:** Card purchases processed within Brazil. * **Historical Period:** 2020-2025. * **Base Year:** 2025. * **Forecast Period:** 2025-2032 (base year inclusive). * **Market Segments Covered:** 7 primary dimensions (Product Type, Customer Segment, Distribution Channel, Institution Type, Revenue Model, Risk Category, Geography). * **Companies Covered:** 10 active card-issuing, acquiring or payment-platform participants. * **Currency & Units:** USD; card TPV expressed in USD billion at a constant conversion rate of 5.36 Brazilian reais per USD. ### Segmentation Data Tree * Product Type + Credit Cards - Single-payment credit - Instalment credit + Debit Cards - Physical-card debit - Tokenised debit + Prepaid Cards - Open-loop prepaid - Benefit-linked prepaid * Customer Segment + Individual Consumers - Established cardholders - Newly served cardholders + Micro and Small Merchants - In-store sellers - Remote sellers + Enterprise Merchants - National chains - Large online merchants * Distribution Channel + Physical Point of Sale - Countertop terminals - Mobile terminals + Remote Checkout - Website checkout - In-app checkout + Card-Linked Wallets - In-store wallets - Remote wallets * Institution Type + Card Issuers - Banks - Digital issuers + Merchant Acquirers - Bank-owned acquirers - Independent acquirers + Payment Facilitators - Marketplace facilitators - Merchant aggregators * Revenue Model + Merchant Acceptance Fees - Acquiring fees - Gateway fees + Issuer Transaction Fees - Interchange - Cardholder fees + Credit Financing - Revolving interest - Instalment financing * Risk Category + Credit Risk - Revolving balances - Instalment exposure + Fraud Risk - Card-present fraud - Remote-payment fraud + Operational Risk - Processing outages - Settlement disruption * Geography + Southeast - São Paulo state - Other Southeast states + South - Paraná - Other South states + Other Brazilian Regions - Northeast and Central-West - North **Inclusions:** Domestic purchases on credit, debit and prepaid cards, including card-funded wallet purchases, at physical and remote merchants. **Exclusions:** Pix transfers, bank transfers, boleto payments, ATM withdrawals, cash, card manufacturing and foreign-exchange services. Purchase value, acquiring fees and issuer financing income are separate measures; they are never added together as market TPV. --- ## Market Trajectory # Brazil Cards and Payments Market Size, Share & Forecast, 2025-2032 **Study Period:** 2020-2032 | **Base Year:** 2025 | **Forecast Period:** 2025-2032 **Market measure:** Total payment value (TPV) of credit, debit and prepaid card purchases in Brazil, including purchases made through wallets when the underlying payment uses a card. Pix transfers are excluded. **2025 model estimate:** USD 740 billion of card TPV, converted at the calculator's fixed 2024 exchange rate. The supplied market-size calculator projects a 10.23% CAGR for 2025-2032 and USD 1,463 billion in 2032 when its 2029 base scenario is extended at the same growth rate. **External-validation finding:** These are Ken Research calculator estimates, not the published industry totals. The Brazilian card-industry association reported approximately USD 840 billion of card purchases for 2025 when its local-currency total is translated at the calculator's fixed exchange rate. The difference is material and is examined in Chapter 13. # CHAPTER 3 - Market Size, Growth Forecast and Trends This section presents the supplied calculator's historical series and forecast, translated at its constant exchange-rate convention. Values for 2030-2032 extend the calculator's 2029 base case at its stated base growth assumption. Whole-number USD figures are rounded independently; growth calculations use the underlying local-currency series. ### Historical and Projected Card TPV | Year | Card TPV, USD billion | Status | | --- | --- | --- | | 2020 | 340 | Calculator historical estimate | | 2021 | 410 | Calculator historical estimate | | 2022 | 507 | Calculator historical estimate | | 2023 | 595 | Calculator historical estimate | | 2024 | 671 | Calculator historical estimate | | 2025 | 740 | Calculator base estimate | | 2026 | 816 | Calculator forecast | | 2027 | 899 | Calculator forecast | | 2028 | 991 | Calculator forecast | | 2029 | 1,092 | Calculator forecast | | 2030 | 1,204 | Extended base scenario | | 2031 | 1,327 | Extended base scenario | | 2032 | 1,463 | Extended base scenario | ### Year-on-Year Growth of Modelled Card TPV | Year | Growth, % | Year | Growth, % | | --- | --- | --- | --- | | 2021 | 20.88 | 2027 | 10.22 | | 2022 | 23.64 | 2028 | 10.23 | | 2023 | 17.28 | 2029 | 10.22 | | 2024 | 12.79 | 2030 | 10.23 | | 2025 | 10.23 | 2031 | 10.23 | | 2026 | 10.24 | 2032 | 10.23 | ### Value and Transaction-Volume Growth | Period | Modelled TPV growth | Transaction-volume reference | Interpretation | | --- | --- | --- | --- | | 2024 | 12.79% | 45.7 billion industry transactions | Industry count is an external comparator, not a calculator input. | | 2025 | 10.23% | 48.1 billion industry transactions; 5.4% reported growth | Value and count series come from different methodologies. | | 2025-2032 | 10.23% annual model assumption | 6.5% annual volume assumption | Implied average transaction value rises about 3.5% annually. | ### Historical Market Performance The calculator places the 2020 pandemic-period trough below its 2019 reference and shows subsequent recovery led by credit purchases. Its 2020-2025 TPV CAGR is 16.86% at constant exchange rates. Independent industry records establish a different absolute series: the industry association shows card purchase value rising 122.4% between 2020 and 2025. Both series indicate sustained expansion, but their levels must not be combined into one continuous published-statistics series. ### Forecast Market Outlook The 2029 calculator base case is USD 1,092 billion at fixed exchange rates. Extending its stated 10.23% annual value-growth assumption produces the 2032 projection above. The calculator's accompanying 6.5% transaction-growth and 3.5% average-ticket-growth assumptions approximately compound to that value rate. These rates are scenarios, not observed outcomes. Faster Pix substitution, changes in instalment credit, inflation and merchant-fee pressure could alter the mix of transactions and the economic value captured by processors. --- ## Market Breakdown # CHAPTER 4 - Market Breakdown Card TPV measures purchase flows; its trajectory helps issuers and acquirers assess scale, while transaction count, product mix and fee yield determine operating economics. | Year | Market Size, USD billion | YoY Growth, % | Industry Card Transactions, billion | Modelled Credit TPV Share, % | Illustrative Gross MDR Yield, % | Period | | --- | --- | --- | --- | --- | --- | --- | | 2020 | 340 | - | 23.3 | - | - | Historical | | 2021 | 410 | 20.88 | 29.1 | - | - | Historical | | 2022 | 507 | 23.64 | 37.3 | - | - | Historical | | 2023 | 595 | 17.28 | 42.2 | - | - | Historical | | 2024 | 671 | 12.79 | 45.7 | 71.4 | 1.83 | Historical | | 2025 | 740 | 10.23 | 48.1 | - | 1.83 | Base Year | | 2026 | 816 | 10.24 | - | - | 1.83 | Forecast and Latest Operating KPIs | | 2027 | 899 | 10.22 | - | - | 1.83 | Forecast and Industry Outlook | | 2028 | 991 | 10.23 | - | - | 1.83 | Forecast and Industry Outlook | | 2029 | 1,092 | 10.22 | - | - | 1.83 | Forecast and Industry Outlook | | 2030 | 1,204 | 10.23 | - | - | 1.83 | Forecast and Industry Outlook | | 2031 | 1,327 | 10.23 | - | - | 1.83 | Forecast and Industry Outlook | | 2032 | 1,463 | 10.23 | - | - | 1.83 | Forecast and Industry Outlook | **KPI 1, Card transactions:** **48.1 billion (2025, Brazil)**. Transaction throughput informs processing capacity and fraud-control spending. The industry association reports 21.6 billion credit, 16.8 billion debit and 9.6 billion prepaid transactions; rounded components explain the small apparent sum difference. **KPI 2, Credit-card mix:** **71.4% (2024, calculator estimate)**. Instalments support credit-card use in larger purchases. The industry association independently reports that interest-free instalments represented 41% of credit-card purchase value in 2024; it does not validate the calculator's product-share allocation. **KPI 3, Gross merchant discount rate:** **1.83% (calculator modelling assumption)**. This yield illustrates an acceptance-fee pool, not audited acquirer revenue. Regulation caps debit and prepaid interchange components; a cap on interchange should not be mistaken for an identical cap on the total merchant discount rate. --- --- ## Market Segmentation # CHAPTER 5 - Market Segmentation Framework The financial-led taxonomy separates payment instruments, customers, acceptance routes, institutional roles, monetisation and risk. The seven axes describe different views of the same purchase flow; their totals must never be added across axes. | | | | | --- | --- | --- | | **No of Segments:** 7 | **Dominant Segment:** Product Type | **Fastest Growing Segment:** Distribution Channel | ### Segmentation Framework | Priority | Level-1 Segment / Taxonomy Dimension | Level-2 Sub-Segments | | --- | --- | --- | | 1 | Product Type | Credit Cards; Debit Cards; Prepaid Cards | | 2 | Customer Segment | Individual Consumers; Micro and Small Merchants; Enterprise Merchants | | 3 | Distribution Channel | Physical Point of Sale; Remote Checkout; Card-Linked Wallets | | 4 | Institution Type | Card Issuers; Merchant Acquirers; Payment Facilitators | | 5 | Revenue Model | Merchant Acceptance Fees; Issuer Transaction Fees; Credit Financing | | 6 | Risk Category | Credit Risk; Fraud Risk; Operational Risk | | 7 | Geography | Southeast; South; Other Brazilian Regions | ### Modelled Product Allocation The supplied calculator's 2024 product shares total 100.0%: credit 71.4%, debit 22.8% and prepaid 5.8%. Its corresponding modelled purchase values are USD 479 billion, USD 153 billion and USD 39 billion after whole-number rounding. These allocations are calculator outputs, not confirmed industry shares. The association's published prepaid value is materially higher, so prepaid-led strategies should use its reported series as an additional benchmark. ### Key Segmentation Takeaways **Product Type** captures the principal economic difference in card purchasing. Credit transactions can support instalments and issuer financing, while debit and prepaid products have different funding and interchange structures. A product-level profit assessment therefore needs purchase value, transaction count, merchant fees and credit losses rather than one blended TPV figure. **Distribution Channel** is an important growth lens because remote checkout, contactless terminals and card-linked wallets change acceptance costs and fraud controls. Card-funded wallet purchases remain in card TPV exactly once. In 2025, contactless purchases grew in value by 31% according to the industry association, supporting investment in secure in-person acceptance. --- ## Regional Analysis # CHAPTER 6 - Regional Analysis Brazil can be compared with Latin American peers on card adoption and payment infrastructure, but this report does not assign peer-country card-TPV estimates without a harmonised definition covering credit, debit and prepaid purchases. Country ranking and regional market share are consequently unverified. National payment authorities publish useful indicators whose coverage differs. | Country | Comparable 2025 Card TPV, USD billion | Comparable 2025-2032 CAGR | 2025 Demand-Side Card Metric | Official Supply or Policy Reference | | --- | --- | --- | --- | --- | | Brazil | 740, calculator model | 10.23%, scenario | 48.1 billion card transactions | Central-bank card and Pix statistics | | Mexico | - | - | More than 11 billion credit and debit transactions; excludes prepaid | Central-bank card-clearing data | | Colombia | - | - | Separate credit and debit reporting; harmonised count not assembled | Financial-supervisor card reports | | Chile | - | - | 81% of surveyed respondents reported debit-card use; survey measure | Central-bank payments-use survey | | Peru | - | - | Separate in-person and remote card-payment series | Central-bank low-value payment statistics | Mexico's central bank describes more than 11 billion credit and debit transactions in 2025, but that definition cannot be ranked against Brazil's three-product total without adjustment. Chile's 81% figure measures survey use rather than transaction volume. These differences prevent a defensible common-size ranking here. For expansion screening, compare merchant acceptance, instalment preferences, interchange rules and remote-payment growth country by country. Peru's central bank publishes separate card series by payment channel, while Colombia's supervisor provides historical credit and debit reporting. Neither series should be inserted into a Brazil-sized comparison without matching coverage and exchange-rate conventions. --- ## Growth Drivers # CHAPTER 7 - Growth Drivers, Challenges & Opportunities Card growth depends on acceptance, credit access and transaction mix, while regulation and competing payment instruments constrain fee capture. ## Growth Drivers ### Credit-card instalments **41% (2024, Brazil)** of credit-card purchase value used interest-free instalments, sustaining a distinct consumer use case. * Merchants can spread higher-value purchases over instalments; issuer economics depend on funding cost and repayment performance. * Instalments of up to six payments represented 65% of interest-free instalment value in 2024, making shorter plans central to product design. * Checkout teams must measure completed sales and financing costs together; transaction value by itself does not measure incremental profit. ### Contactless acceptance **73.6% (December 2025, Brazil)** of in-person card purchases by count used contactless acceptance. * Quick checkout can improve throughput at frequently visited merchants, particularly where small transactions dominate. * Acquirers need compatible terminal and tokenisation capabilities as tap-to-pay becomes routine. * The industry reported approximately USD 354 billion of 2025 contactless card value at the model's fixed conversion rate, indicating material infrastructure utilisation. ### Digital issuer reach **100 million (November 2024, Brazil)** Nubank customers illustrate the scale available to digital financial distribution. * Digital onboarding can widen card access, although customer accounts are not equivalent to active cardholders. * Issuers can use account relationships to support card activation and repayment engagement. * Credit expansion must be tested against losses and funding costs before it is counted as profitable growth. --- ## Market Challenges ### Pix substitution **Approximately 80 billion (2025, Brazil)** Pix transactions expand merchants' payment choices and pressure card acceptance propositions. * Pix transfers include person-to-person and other non-card uses; operators should measure substitution within matched merchant categories. * Pix Automático became available in 2025, increasing competition for recurring collections. * Merchants must weigh acceptance cost against conversion, refunds and credit-enabled purchases rather than compare headline payment volumes. ### Fee and funding pressure Debit and prepaid interchange ceilings under **Resolution 246 (Brazil)** limit particular issuer fee components. * Acquirers cannot treat the calculator's 1.83% illustrative merchant discount rate as a guaranteed future yield. * Product-specific interchange rules can change incentives between debit and prepaid acceptance. * Higher credit-funding costs can narrow issuer returns even as gross card purchase value rises. ### Measurement discrepancy The supplied calculator's **2025 modelled TPV** is below the industry association's published purchase total. * Using the model as an official industry census would understate the independently published 2025 level. * The model's prepaid allocation diverges especially strongly from published prepaid purchase value. * Investment cases should sensitivity-test the starting value and card mix before applying the 2025-2032 growth scenario. --- ## Market Opportunities ### Remote card checkout Remote card purchases reached approximately **USD 183 billion (2024, Brazil)** at the calculator's fixed exchange rate. * Merchants can improve completed orders through reliable authentication and instalment presentation. * Gateways and acquirers benefit when improved authorisation offsets processing and fraud-management costs. * Card-linked wallet transactions should be counted once, according to the funding rail, to prevent inflated addressable-market estimates. ### Recurring-payment services Recurring card purchases represented approximately **USD 20 billion (2024, Brazil)** at the fixed conversion rate. * Subscription merchants can evaluate card retry tools and account-updating services against failed collections. * Issuers can offer customers stronger controls over recurring charges and payment visibility. * Pix Automático requires competing card products to demonstrate measurable convenience, retention or credit-related benefits. ### Smaller-merchant acceptance Contactless growth and mobile-terminal distribution create a service opportunity for acquirers serving smaller merchants. * Acquirers can combine acceptance, settlement and business-account services, subject to product-level profitability tests. * Merchants benefit when simpler onboarding and clearer fees reduce acceptance friction. * Investment should be tied to active-merchant retention and transaction contribution after terminal, service and fraud costs. --- --- ## Competitive Landscape # CHAPTER 8 - Competitive Landscape Overview Issuers, acquirers and payment facilitators participate at different stages of a card purchase. Their revenues and TPV cannot be summed as though each represented a separate final purchase. * **Key players profiled:** 10. * **Verified new entrants in the last five years:** -. ### Company Profiles (Top 10 Players) | Company Name | Market Share | Headquarters | Founding Year | Core Market Focus | | --- | --- | --- | --- | --- | | Cielo | - | - | - | Merchant acquiring | | Rede | - | - | - | Bank-linked merchant acquiring | | Stone | - | - | - | Merchant acquiring and financial services | | PagBank | - | - | - | Merchant acquiring and digital accounts | | Getnet | - | - | - | Merchant acquiring | | Mercado Pago | - | - | - | Marketplace-linked card acceptance | | Nubank | - | - | - | Card issuing and customer accounts | | Itaú Unibanco | - | - | - | Card issuing and banking | | Bradesco | - | - | - | Card issuing and banking | | Banco do Brasil | - | - | - | Card issuing and banking | Shares are withheld because the calculator mixes acquiring TPV, issuer activity and company-level estimates, and its stated acquirer shares do not reconcile consistently with its own company TPV figures. Issuer and acquirer shares require separate denominators. Company participation is supported by payment-system reporting and company disclosures, but the table is not a verified revenue ranking. The report provides cross-comparison of participants using four measures that distinguish operating reach from financial performance. ### Top 4 Cross-Comparison KPIs * Card Purchase Volume * Active Merchant or Cardholder Base * Payment Revenue Growth * Risk-Adjusted Contribution Margin ### Competitive Structure * **Large-scale acquiring:** Cielo and Rede compete alongside independent and digital acquirers. * **Merchant-focused platforms:** Stone, PagBank, Getnet and Mercado Pago combine acceptance with other services. * **Issuing:** Nubank, Itaú Unibanco, Bradesco and Banco do Brasil compete for cardholders and account activity. * **Smaller participants:** Regional processors, facilitators and specialist fintechs form a fragmented remaining tier; a verified entity count is unavailable. ### Analysis Covered * **Market Share Analysis:** Separate issuer and acquirer denominators before comparing company positions. * **Cross Comparison Matrix:** Compare disclosed operating reach with payment-specific financial results. * **SWOT Analysis:** Test scale, merchant service, credit exposure and substitution risk. * **Pricing Strategy Analysis:** Distinguish interchange, merchant fees, financing and settlement income. * **Company Profiles:** Examine only attributable Brazilian card-market activities and disclosed metrics. --- --- ## Key Stakeholders # CHAPTER 10 - Key Target Audience This report supports decisions involving card acceptance, issuing, regulation and investment under the defined card-TPV scope. * **Investors:** TPV growth, fee yield, losses, contribution margin. * **Corporates:** Checkout conversion, instalments, acceptance costs, refunds. * **Government:** Competition, inclusion, disclosures, payment-system resilience. * **Operators:** Authorisation, terminal distribution, fraud, settlement reliability. * **Financial institutions:** Card activation, credit risk, funding, repayment. ### What You'll Gain * Defined purchase-value scope * Historical and forecast series * Card-product taxonomy * Regulatory and technology context * Competitive-role distinctions * Published-data reconciliation --- --- ## Research Methodology # CHAPTER 11 - Research Methodology ### Phase 1: Approach #### Desk Research * Review central-bank card-payment statistical releases. * Compare card-industry annual purchase totals. * Inspect payment-rule and disclosure changes. * Check relevant company operating disclosures. #### Primary Research Design The following cohorts form a proposed interview design. The supplied calculator does not document completed interviews, so no interviews are claimed as conducted for this report. * Interview merchant-acquiring product and pricing managers. * Interview card-issuing credit-risk and finance managers. * Interview enterprise merchant checkout decision-makers. * Interview payment-facilitator fraud and operations managers. #### Validation and Triangulation * Compare independently reported card purchase totals. * Reconcile card-product values before share analysis. * Separate purchase value from participant revenue. * Record discrepancies requiring model-owner resolution. ### Phase 2: Market Size Estimation #### Top-Down Assessment * Use the supplied consumption-based card-demand cross-check. * Keep Pix and non-card transfers outside card TPV. * Test model output against published industry purchase values. #### Bottom-Up Modeling * Retain the supplied calculator's acquirer-volume universe. * Retain its operational purchase-flow estimate as an input. * Apply its 50% supply, 30% operational and 20% demand weights without rebuilding the headline. #### Forecasting and Scenario Analysis * Preserve the calculator's supplied scenarios through 2029. * Extend scenario growth assumptions from 2029 through 2032. * Translate all model years at its fixed 2024 conversion rate. ### Phase 3: Proposed Primary Research Coverage #### Scope Item / Segments The proposed work would cover card issuing, merchant acquiring, merchant acceptance and checkout technology. * Card Issuing * Merchant Acquiring * Merchant Acceptance * Checkout Technology #### Target Sample Size These are proposed recruitment targets, not respondents already engaged. * Card Issuing - 50 respondents (Card Product Manager, Credit Risk Manager) * Merchant Acquiring - 50 respondents (Acquiring Director, Merchant Pricing Manager) * Merchant Acceptance - 60 respondents (Retail Payments Manager, E-commerce Director) * Checkout Technology - 40 respondents (Payment Architect, Fraud Operations Manager) #### Validation and Triangulation Future interview findings would be compared across institutional roles and against published payment statistics. * Check issuer and acquirer definitions independently. * Reconcile merchant-reported purchases with processing scope. * Compare operational responses with strategic disclosures. * Escalate prepaid and total-TPV differences for correction. --- ## Frequently Asked Questions # CHAPTER 12 - FAQs #### Q: What is the Brazil Cards and Payments Market worth in the 2025 base year? **A:** The Brazil Cards and Payments Market is worth USD 740 billion in 2025 on the supplied Ken Research calculator's card-TPV basis. This measures purchases made on credit, debit and prepaid cards, including card-funded wallet transactions. It excludes Pix and is expressed at a fixed conversion rate. The published industry card-purchase total for 2025 is higher than the calculator's estimate, so this figure should be used as the supplied model baseline, with the discrepancy reviewed before any transaction or investment decision that requires an official industry total. **Data used:** 2025 calculator card TPV; 2025 published card-industry purchase total. **So what:** Specify whether a decision uses the calculator baseline or the published industry census. #### Q: What are the 2032 forecast and CAGR? **A:** The calculator's base-case growth assumption produces USD 1,463 billion of card TPV in 2032, a 10.23% CAGR over 2025-2032. Its supplied annual forecast ends in 2029; the 2030-2032 figures are an extension at the same annual assumption. Growth in purchase value reflects both transaction frequency and average purchase value. It does not establish the growth rate of merchant fees, issuer income or processor earnings. Investors should therefore stress-test fee yield, credit performance and Pix substitution separately from the headline TPV path. **Data used:** Calculator's 2025 base, 2029 forecast and stated 10.23% base growth assumption. **So what:** Treat the terminal value as a scenario extension. #### Q: Where does payment-industry revenue arise? **A:** Acquirers earn merchant acceptance and related service fees; issuers can receive interchange and may earn cardholder fees or financing income. These streams belong to different participants and cannot be added indiscriminately. The calculator's 1.83% blended merchant discount rate is an illustrative fee-yield assumption applied to purchase value, not an audited net-revenue margin. Debit and prepaid interchange rules add product-specific constraints. A profit-pool assessment should trace the fee split, processing costs, fraud losses, funding costs and credit losses before assigning value to any company. **Data used:** Calculator MDR assumption; Resolution 246. **So what:** Build separate issuer and acquirer economics. #### Q: What is the principal constraint on the forecast? **A:** The most immediate analytical constraint is the mismatch between the supplied calculator and published card-industry totals. The calculator's model also allocates substantially less purchase value to prepaid cards than the industry association reported for 2024. Commercially, Pix creates competition for certain low-value and recurring purchases, while card issuers remain exposed to credit conditions. These risks affect different parts of the value chain and should not be collapsed into a single haircut to card TPV. Resolve the baseline discrepancy first, then test product mix and fee sensitivity. **Data used:** Supplied calculator series; industry association's 2024 product totals. **So what:** Reconcile coverage before approving absolute-value forecasts. #### Q: How does Brazil compare with other Latin American card markets? **A:** Brazil has a large documented card-purchase flow, but this report does not publish a numeric regional rank. The available peer measures differ: Mexico's referenced statistic covers credit and debit transactions, Chile's cited measure is a consumer-use survey, and other national authorities divide series by channel or product. A defensible market-size ranking requires the same card categories, transaction geography, period and currency treatment for every country. Until those data are harmonised, comparisons should focus on specific issues such as acceptance infrastructure and payment regulation. **Data used:** National payment-system and survey definitions. **So what:** Commission a harmonised peer dataset before using rank in a business case. #### Q: Which demand behaviours most support card purchases? **A:** Credit-card instalments, remote checkout and contactless payments support distinct purchase occasions. The association reports that interest-free instalments represented 41% of credit-card purchase value in 2024, while contactless reached 73.6% of in-person card transactions by count in December 2025. These statistics measure different denominators and should not be added. For a merchant, the relevant test is whether each payment option improves completed sales and customer retention after fees, fraud and financing costs. **Data used:** 2024 instalment-value share; December 2025 contactless transaction share. **So what:** Optimise checkout by purchase occasion. --- ## Table of Contents # CHAPTER 14 - Table of Contents ## Market Assessment Phase Supply-side and competitive intelligence covering market sizing, segmentation, competitive dynamics, regulatory landscape, and future forecasts. ### 1. Market Overview #### 1.1 KPIs at a Glance #### 1.2 Future Outlook ### 2. Scope of the Market #### 2.1 Segmentation Data Tree ### 3. Market Size, Growth Forecast and Trends #### 3.1 Historical and Projected Card TPV #### 3.2 Year-on-Year Growth of Modelled Card TPV #### 3.3 Value and Transaction-Volume Growth ### 4. Market Breakdown ### 5. Market Segmentation Framework #### 5.1 Product Type ##### 5.1.1 Credit Cards ##### 5.1.2 Debit Cards ##### 5.1.3 Prepaid Cards #### 5.2 Customer Segment ##### 5.2.1 Individual Consumers ##### 5.2.2 Micro and Small Merchants ##### 5.2.3 Enterprise Merchants #### 5.3 Distribution Channel ##### 5.3.1 Physical Point of Sale ##### 5.3.2 Remote Checkout ##### 5.3.3 Card-Linked Wallets #### 5.4 Institution Type ##### 5.4.1 Card Issuers ##### 5.4.2 Merchant Acquirers ##### 5.4.3 Payment Facilitators #### 5.5 Revenue Model ##### 5.5.1 Merchant Acceptance Fees ##### 5.5.2 Issuer Transaction Fees ##### 5.5.3 Credit Financing #### 5.6 Risk Category ##### 5.6.1 Credit Risk ##### 5.6.2 Fraud Risk ##### 5.6.3 Operational Risk #### 5.7 Geography ##### 5.7.1 Southeast ##### 5.7.2 South ##### 5.7.3 Other Brazilian Regions ### 6. Regional Analysis ### 7. Growth Drivers, Challenges and Opportunities #### 7.1 Growth Drivers #### 7.2 Market Challenges #### 7.3 Market Opportunities ### 8. Competitive Landscape Overview #### 8.1 Company Profiles ##### 8.1.1 Cielo ##### 8.1.2 Rede ##### 8.1.3 Stone ##### 8.1.4 PagBank ##### 8.1.5 Getnet ##### 8.1.6 Mercado Pago ##### 8.1.7 Nubank ##### 8.1.8 Itaú Unibanco ##### 8.1.9 Bradesco ##### 8.1.10 Banco do Brasil #### 8.2 Top 4 Cross-Comparison KPIs ##### 8.2.1 Card Purchase Volume ##### 8.2.2 Active Merchant or Cardholder Base ##### 8.2.3 Payment Revenue Growth ##### 8.2.4 Risk-Adjusted Contribution Margin ### 9. Regulation, Value Chain, Technology, Risks and Case Studies #### 9.1 Regulatory Landscape #### 9.2 Value Chain #### 9.3 Technology #### 9.4 Risks #### 9.5 Case Studies ### 10. Key Target Audience ### 11. Research Methodology ### 12. FAQs ### 13. Sources, Assumptions and Reconciliation ### Disclaimer ### Contact Us