According to PayNXT360, the mobile payments market in Singapore is expected to grow by 8.8% annually, reaching US$1,241.3 million by 2026. The mobile payments market in the country has experienced ro...
According to PayNXT360, the mobile payments market in Singapore is expected to grow by 8.8% annually, reaching US$1,241.3 million by 2026. The mobile payments market in the country has experienced robust growth during 2021-2025, achieving a CAGR of 8.0%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 8.5% from 2026 to 2030. By the end of 2030, the mobile payments market is projected to expand from its 2025 value of US$1,140.7 million to approximately US$1,721.3 million. Key Trends and Drivers Accelerate Real-Time Account-to-Account Payments Through National Infrastructure • Singapore’s mobile payments ecosystem is increasingly anchored in real-time account-to-account (A2A) transfers enabled by national infrastructure such as PayNow and FAST. PayNow allows individuals and businesses to transact using mobile numbers or UENs, reducing reliance on cards. Banks such as DBS Bank and OCBC Bank have embedded PayNow deeply into their mobile banking apps, while merchants increasingly accept PayNow QR for in-store and online payments. The system has also expanded to support cross-border linkages, including PayNow-PromptPay integration with Thailand. • The push is driven by regulatory prioritization of interoperable payment rails by Monetary Authority of Singapore, alongside declining cash usage and increasing digital banking adoption. Growth in e-commerce platforms such as Shopee and Lazada has further reinforced demand for instant, low-cost payment methods. Government-led initiatives such as SGQR have simplified merchant onboarding by consolidating multiple QR schemes. • Real-time A2A payments are expected to become the preferred method for peer-to-peer and small merchant transactions, reducing card dependency in low-value segments. Cross-border linkages (e.g., with Thailand and India’s UPI) are likely to expand, positioning Singapore as a regional payments hub. Banks may face margin pressure on card-based revenue while strengthening transaction-led ecosystems. Expand QR Code Standardization and Merchant Digitization • Singapore has scaled QR-based payments through the national SGQR framework, which integrates multiple schemes, including bilateral linkages such as PayNow–PromptPay (Thailand) and PayNow–UPI (India). Small merchants, hawkers, and transport operators increasingly rely on QR codes rather than POS terminals. Providers such as Grab (GrabPay) and Fave have leveraged SGQR to expand acceptance across offline retail. • Merchant cost sensitivity and ease of onboarding are primary drivers. SGQR reduces hardware dependency and simplifies settlement across multiple payment schemes. Government initiatives to digitize SMEs and hawker centres, along with support schemes such as the SMEs Go Digital programme, have accelerated adoption. Consumer familiarity with QR-based payments across Southeast Asia also supports usage. • QR-based payments will remain widely used across micro and SME transactions, with further consolidation of wallet and bank QR ecosystems. However, competition may intensify as banks and super apps compete for merchant relationships. Over time, QR may integrate with loyalty, lending, and data-driven services, making it a gateway for embedded finance. Strengthen Digital Wallet Ecosystems Through Super Apps and Banks • Mobile wallets in Singapore are evolving beyond payments into broader ecosystems. Wallets such as GrabPay and Apple Pay are integrated into transport, food delivery, and retail journeys, while banks such as UOB and DBS continue enhancing in-app payment capabilities. Telco-backed wallets like Singtel Dash provide alternatives for prepaid and underbanked users. • The convergence of payments with lifestyle services is driven by platform strategies of super apps and competition among banks to retain customer engagement. Singapore’s high smartphone penetration and mature digital infrastructure support wallet usage. Regulatory support for e-money institutions and digital banks has also enabled innovation in wallet offerings. • Wallets are expected to deepen integration with financial services such as lending, insurance, and wealth products. Competitive intensity will increase between bank-led apps and super apps, with differentiation shifting toward ecosystem value rather than standalone payment functionality. Consolidation among smaller wallets is likely. Enable Cross-Border Payment Connectivity Within ASEAN and Beyond • Singapore is actively building cross-border mobile payment linkages, including PayNow integrations with Thailand’s PromptPay and India’s UPI. These linkages allow users to send funds using mobile identifiers across countries without relying on traditional remittance channels. Banks such as DBS and OCBC are facilitating these services within their apps. • The initiative is driven by regional trade, tourism flows, and ASEAN financial integration efforts. The Monetary Authority of Singapore is working with regional central banks under frameworks such as the ASEAN Payments Connectivity initiative. Demand from SMEs and migrant workers for low-cost remittances is also a key factor. • Cross-border mobile payments are expected to scale across Southeast Asia, reducing reliance on correspondent banking channels for retail remittances. Singapore is positioned as a regional interoperability hub within ASEAN payment connectivity initiatives. Over time, integration with e-commerce and travel ecosystems could further normalize cross-border QR and A2A payments for consumers and SMEs. Competitive Landscape Competition is structured at the customer interface level, where banks, super apps, and wallets compete on ecosystem integration rather than payment infrastructure. Banks are likely to defend their position through integrated financial services, while super apps will expand payment-linked services such as lending and loyalty. Cross-border payment linkages will create new competitive dimensions, particularly for wallets targeting regional travel and remittance use cases. Digital banks are expected to increase pressure on incumbents by offering payment-led customer acquisition strategies. Current State of the Market • Singapore’s mobile payments market operates within a bank-led, infrastructure-driven model anchored on interoperable systems such as PayNow and SGQR. Banks remain central to transaction processing, with apps from DBS Bank, OCBC Bank, and UOB serving as primary payment interfaces. At the same time, wallets and super apps have built parallel ecosystems for daily transactions. The market shows high interoperability but active competition at the customer interface level, particularly in merchant acquisition and consumer engagement. Key Players and New Entrants • The competitive landscape is led by domestic banks alongside regional platforms such as Grab (GrabPay) and Sea Group (ShopeePay). Global wallets such as Apple Pay and Google Pay are widely accepted across terminals and online channels. Telco-backed Singtel Dash continues to target transit and remittance use cases. New entrants include digital banks such as GXS Bank and Trust Bank, which are embedding payments into broader digital banking propositions. Recent Launches, Mergers, and Acquisitions • Recent developments reflect a focus on partnerships rather than consolidation. DBS Bank and Liquid Group expanded cross-border QR acceptance, while Grab has deepened merchant integrations through GrabPay and BNPL offerings. The Monetary Authority of Singapore has enabled PayNow linkages with Thailand and India through bilateral central bank collaboration. There have been limited large-scale M&A activities, with market participants prioritizing ecosystem partnerships and infrastructure expansion over acquisitions. This report provides a detailed data-centric analysis of the mobile payments industry in Singapore, offering comprehensive coverage of the overall mobile payments market. It includes more than 70+ KPIs, covering transaction value, transaction volume, average transaction value, and transactions per user. The report offers an in-depth analysis of mobile payments, covering key dimensions such as payment method, transaction type, payment instrument, consumer demographics, merchant category, and geography. It further categorizes the market by revenue streams, including merchant discount rate (MDR), consumer fees, interchange and processing income, subscription-based services, and float-based revenue. In addition, the analysis captures consumer behavior across age groups and regions, along with usage indicators such as transaction frequency, average transaction value, and preferred payment methods. Collectively, these datasets provide a comprehensive view of market size, user adoption, monetization strategies, and operational performance within the mobile payments ecosystem. PayNXT360’s research methodology is based on industry best practices. It's unbiased analysis leverages a proprietary analytics platform to offer a detailed view of emerging business and investment market opportunities.
This report provides a detailed data-driven analysis of the mobile payments market in Singapore, focusing on digital payment infrastructure, transaction flows, and ecosystem evolution. It examines key market segments, payment methods, and consumer behavior shaping the adoption and scalability of mobile payments: Singapore Mobile Payments Market Size and Growth Dynamics -- Transaction Value -- Transaction Volume -- Average Transaction Value -- Transactions per User per Year Singapore Mobile Payments Market Segmentation by Payment Method -- QR Code-Based Payments -- Real-Time Payments (Account-to-Account) -- Mobile Wallet Payments -- Contactless Payments (NFC) -- App-Based Transfer Payments -- Others Singapore Mobile Payments Market Segmentation by Transaction Type -- Person-to-Person (P2P) -- Person-to-Merchant (P2M) -- Person-to-Business (P2B – Bill Payments) -- Business-to-Business (B2B) -- Business-to-Person (B2P) Singapore Mobile Payments Market Segmentation by Payment Instrument -- Bank Account (A2A) -- Wallet Balance -- Credit Cards -- Debit Cards -- Cash-linked Top-ups Singapore Mobile Payments Market Segmentation by Age Group -- Gen Z -- Millennials -- Gen X -- Baby Boomers Singapore Mobile Payments Market Segmentation by Geography -- Urban Areas -- Semi-Urban / Peri-Urban Areas -- Rural Areas Singapore Mobile Payments Market Segmentation by Merchant Category -- Retail / Grocery -- Restaurants / Food & Beverage -- Transportation / Mobility -- Bill Payments / Utilities -- Healthcare / Pharmacy -- Travel / Hospitality -- Others Singapore Mobile Payments Consumer Behavior and Usage Patterns -- Average Transactions per User per Month -- Active vs Registered Users -- Payment Frequency by Age Group -- Payment Frequency by Geography -- Average Transaction Value -- Preferred Payment Method Singapore Mobile Payments Revenue Structure and Monetization -- Merchant Discount Rate (MDR) Revenue -- Consumer Fee Revenue -- Interchange and Processing Fees -- Subscription and Value-Added Services -- Float / Balance-Based Revenue Singapore Mobile Payments Operational Metrics by Payment Method -- Transaction Value by Payment Method -- Transaction Volume by Payment Method -- Average Transaction Value by Payment Method Singapore Mobile Payments Operational Metrics by Transaction Type -- Transaction Value by Transaction Type -- Transaction Volume by Transaction Type -- Average Transaction Value by Transaction Type Singapore Mobile Payments Operational Metrics by Age Group -- Transaction Value by Age Group -- Transaction Volume by Age Group -- Average Transaction Value by Age Group Singapore Mobile Payments Operational Metrics by Geography -- Transaction Value by Geography -- Transaction Volume by Geography -- Average Transaction Value by Geography -- Transactions per User by Geography Singapore Mobile Payments Operational Metrics by Merchant Category -- Transaction Value by Merchant Category -- Transaction Volume by Merchant Category -- Average Transaction Value by Merchant Category Singapore Mobile Payments Infrastructure and Acceptance Metrics -- QR Code Acceptance Penetration -- POS Terminal Density -- Contactless Acceptance Penetration -- Number of Registered Merchants -- Payment Gateway Penetration
• Comprehensive Market Intelligence: Gain a holistic understanding of the mobile payments landscape by integrating macroeconomic factors with payment ecosystem evolution, including digital infrastructure, regulatory frameworks, and transaction flows across instruments such as wallets, account-to-account (A2A), and card-based payments. Analyze key operational metrics such as transaction value, transaction volume, average ticket size, and user penetration across different payment use cases. • Granular Segmentation and Cross-Analysis: Explore the mobile payments ecosystem through detailed segmentation by payment type (wallets, real-time payments, cards, BNPL), use case (P2P, P2M, bill payments, transit), customer demographics (age group, income level), merchant size (micro, SME, enterprise), and geography (urban vs. rural, tier-wise distribution). This enables a deeper understanding of evolving consumer behavior and merchant acceptance dynamics. • Operational and Performance Benchmarking: Evaluate platform performance and competitive positioning by analyzing key indicators such as transaction success rates, average transaction value, customer acquisition cost, merchant onboarding efficiency, and active user engagement. Benchmark leading players like PayPal, Visa, Mastercard, and regional leaders such as PhonePe and M-Pesa. • Consumer Behavior and Ecosystem Readiness: Understand how factors such as smartphone penetration, digital identity frameworks, financial inclusion initiatives, and real-time payment infrastructure (e.g., National Payments Corporation of India enabling UPI) are shaping user adoption patterns. Assess behavioral shifts toward contactless, embedded finance, and recurring digital payments across both urban and semi-urban populations. • Data-Driven Forecasts and KPI Tracking: Access a comprehensive dataset covering 70+ KPIs, including transaction growth, user adoption, merchant acceptance rates, payment mix evolution, and infrastructure scalability. Historical and forecast insights through 2030 provide visibility into emerging trends such as cross-border real-time payments, digital wallet consolidation, and regulatory-driven innovations. • Decision-Ready Databook Format: Delivered in a structured, analytics-ready format, the Mobile Payments Databook supports financial modeling, market sizing, and strategic planning. It enables banks, fintechs, payment processors, merchants, and investors to make informed decisions on market entry, product innovation, partnerships, and expansion strategies.
1. About this Report 1.1 Summary 1.2 Methodology 1.3 Definition 1.4 Disclaimer 2. Singapore Macroeconomic & Digital Readiness Indicators 2.1 Singapore Gross Domestic Product at Current Prices, 2021–2030 2.2 Singapore Gross Domestic Product Per Capita, 2021–2030 2.3 Singapore Smartphone Penetration Rate, 2021-2030 2.4 Singapore Internet Penetration Rate, 2021-2030 2.5 Singapore Mobile Broadband Coverage Rate, 2021-2030 2.6 Singapore Average Mobile Data Cost, 2021-2030 2.7 Singapore Bank Account Penetration Rate, 2021-2030 2.8 Singapore Debit Card Penetration Rate, 2021-2030 2.9 Singapore Credit Card Penetration Rate, 2021-2030 2.10 Singapore Digital Payment Penetration Rate, 2021-2030 2.11 Singapore Mobile Wallet Penetration Rate, 2021-2030 3. Singapore Mobile Payments Key Performance Indicators 3.1 Singapore Mobile Payments Total Addressable Market (TAM), 2021–2030 3.2 Singapore Mobile Payments - Transaction Value Trend Analysis, 2021–2030 3.3 Singapore Mobile Payments - Transaction Volume Trend Analysis, 2021–2030 3.4 Singapore Mobile Payments - Average Value per Transaction Trend Analysis, 2021–2030 3.5 Singapore Mobile Payments Market Share Analysis by Key Players, 2025 4. Singapore Mobile Payments Adoption, Usage & Ecosystem Performance Indicators 4.1 Singapore Mobile Payments - Active Users Trend Analysis, 2021–2030 4.2 Singapore Mobile Payments - Total Registered Users Trend Analysis, 2021–2030 4.3 Singapore Mobile Payments Market Penetration Rate, 2021–2030 4.4 Singapore Mobile Payments - Transactions per User per Month, 2025 4.5 Singapore Mobile Payments - Transaction Success Rate, 2025 4.6 Singapore Mobile Payments - Fraud Rate, 2025 4.7 Singapore Mobile Payments - Total Merchants Accepting Payments, 2025 4.8 Singapore Mobile Payments - Merchant Adoption Rate, 2025 4.9 Singapore Mobile Payments - Registered Mobile Payment Accounts, 2025 5. Singapore Mobile Payments by Revenue Performance & Monetization 5.1 Singapore Mobile Payments – Total Mobile Payment Revenue Trend Analysis, 2021–2030 5.2 Singapore Mobile Payments – Average Merchant Discount Rate (MDR), 2025 5.3 Singapore Mobile Payments – Average Consumer Fee Rate, 2025 5.4 Singapore Mobile Payments – Average Take Rate, 2025 6. Singapore Mobile Payments Revenue Breakdown by Category 6.1 Singapore Mobile Payments Revenue Share by Category, 2021-2030 6.2 Singapore Mobile Payments - Transaction-Based Revenue Trend Analysis, 2021–2030 6.3 Singapore Mobile Payments - Commission & Distribution Revenue Trend Analysis, 2021–2030 6.4 Singapore Mobile Payments - Platform & Monetization Revenue Trend Analysis, 2021–2030 6.5 Singapore Mobile Payments - Balance & Float Revenue Trend Analysis, 2021–2030 7. Singapore Mobile Payments - Payment Infrastructure Stack Landscape 7.1 Singapore Mobile Payments - Card Infrastructure Landscape, 2021-2030 7.1.1 Mobile Payments – Debit Cards in Circulation, 2021–2030 7.1.2 Mobile Payments – Credit Cards in Circulation, 2021–2030 7.1.3 Mobile Payments – POS Terminal Density, 2021–2030 7.1.4 Mobile Payments – Contactless Acceptance Penetration Rate, 2021–2030 7.2 Mobile Payments - Wallet Infrastructure Landscape, 2025 7.2.1 Mobile Payments – Number of Wallet Providers, 2025 7.2.2 Mobile Payments Wallet Funding by Instrument – Rates (Bank Account, Card, Cash), 2025 7.3 Mobile Payments - Merchant Acceptance Landscape, 2025 7.3.1 Mobile Payments – QR Acceptance Penetration Rate, 2025 7.3.2 Mobile Payments – SoftPOS Penetration Rate, 2025 7.3.3 Mobile Payments – Payment Gateway Penetration Rate, 2025 7.3.4 Mobile Payments – Merchant Cost of Acceptance Rate, 2025 8. Singapore Mobile Payments by Infrastructure Metrics 8.1 Mobile Payments Total QR Codes – Static, 2021–2030 8.2 Mobile Payments Total QR Codes – Dynamic Share, 2025 8.3 Mobile Payments - Total POS Terminals Volume, 2021-2030 8.4 Mobile Payments - Contactless-Enabled POS Volume, 2021-2030 8.5 Mobile Payments - Contactless Terminal Penetration Rate, 2021-2030 9. Singapore Mobile Payments Market Size and Forecast by Payment Method 9.1 Singapore Mobile Payments Market Share by Payment Method, 2021-2030 9.2 Singapore Mobile Payments by QR Code-Based Payment Method, 2021-2030 9.2.1 QR Code Based – Transaction Value Trend Analysis, 2021–2030 9.2.2 QR Code Based – Transaction Volume Trend Analysis, 2021–2030 9.2.3 QR Code Based – Average Loan Ticket Size Trend Analysis, 2021–2030 9.3 Singapore Mobile Payments by NFC / Contactless Payment Method, 2021-2030 9.3.1 NFC / Contactless – Transaction Value Trend Analysis, 2021–2030 9.3.2 NFC / Contactless – Transaction Volume Trend Analysis, 2021–2030 9.3.3 NFC / Contactless – Average Loan Ticket Size Trend Analysis, 2021–2030 9.4 Singapore Mobile Payments by App-Based Transfer Payment Method, 2021-2030 9.4.1 App-Based Transfer – Transaction Value Trend Analysis, 2021–2030 9.4.2 App-Based Transfer – Transaction Volume Trend Analysis, 2021–2030 9.4.3 App-Based Transfer – Average Loan Ticket Size Trend Analysis, 2021–2030 9.5 Singapore Mobile Payments by Other Payment Methods, 2021-2030 9.5.1 Other Payment Methods – Transaction Value Trend Analysis, 2021–2030 9.5.2 Other Payment Methods – Transaction Volume Trend Analysis, 2021–2030 9.5.3 Other Payment Methods – Average Loan Ticket Size Trend Analysis, 2021–2030 10. Singapore Mobile Payments Market Size and Forecast by Transaction Type 10.1 Singapore Mobile Payments Market Share by Transaction Type, 2021-2030 10.2 Singapore Mobile Payments by P2P (Person-to-Person), 2021-2030 10.2.1 P2P (Person-to-Person) – Transaction Value Trend Analysis, 2021–2030 10.2.2 P2P (Person-to-Person) – Transaction Volume Trend Analysis, 2021–2030 10.2.3 P2P (Person-to-Person) – Average Loan Ticket Size Trend Analysis, 2021–2030 10.3 Singapore Mobile Payments by P2M (Person-to-Merchant), 2021-2030 10.3.1 P2M (Person-to-Merchant) – Transaction Value Trend Analysis, 2021–2030 10.3.2 P2M (Person-to-Merchant) – Transaction Volume Trend Analysis, 2021–2030 10.3.3 P2M (Person-to-Merchant) – Average Loan Ticket Size Trend Analysis, 2021–2030 10.4 Singapore Mobile Payments by P2B (Person-to-Business / Bills), 2021-2030 10.4.1 P2B (Person-to-Business / Bills) – Transaction Value Trend Analysis, 2021–2030 10.4.2 P2B (Person-to-Business / Bills) – Transaction Volume Trend Analysis, 2021–2030 10.4.3 P2B (Person-to-Business / Bills) – Average Loan Ticket Size Trend Analysis, 2021–2030 10.5 Singapore Mobile Payments by B2B (Business-to-Business), 2021-2030 10.6 Singapore Mobile Payments by B2P (Business-to-Person), 2021-2030 11. Singapore Mobile Payments by Payment Method across Transaction Types 11.1 Singapore Mobile Payments by QR Code Based Payment across Transaction Types, 2021–2030 11.2 Singapore Mobile Payments by NFC / Contactless Payment across Transaction Types, 2021–2030 11.3 Singapore Mobile Payments by App-Based Transfer across Transaction Types, 2021–2030 12. Singapore Mobile Payments Market Size and Forecast by Merchant Category 12.1 Singapore Mobile Payments Market Share by Merchant Category, 2021-2030 12.2 Singapore Mobile Payments by Retail / Grocery Stores Sector 12.3 Singapore Mobile Payments by Restaurants / Food & Beverage Sector 12.4 Singapore Mobile Payments by Fuel / Gas Stations Sector 12.5 Singapore Mobile Payments by Professional Services Sector 12.6 Singapore Mobile Payments by Healthcare / Pharmacy Sector 12.7 Singapore Mobile Payments by Education Sector 12.8 Singapore Mobile Payments by Entertainment / Recreation Sector 12.9 Singapore Mobile Payments by Travel / Hotels / Hospitality Sector 12.10 Singapore Mobile Payments by Transportation Sector 12.11 Singapore Mobile Payments by Other Sectors 13. Singapore Mobile Payments Market Size and Forecast by Geography 13.1 Singapore Mobile Payments Market Share by Geography, 2021-2030 13.2 Singapore Mobile Payments by Urban Area 13.3 Singapore Mobile Payments by Semi-Urban / Peri-Urban Area 13.4 Singapore Mobile Payments by Rural Area 14. Singapore Mobile Payments Analysis by Consumer Demographics – Age Group 14.1 Singapore Mobile Payments by Age Group, 2021-2030 14.2 Singapore Mobile Payments by Gen Z Age Group 14.3 Singapore Mobile Payments by Young Millennials Age Group 14.4 Singapore Mobile Payments by Older Millennials Age Group 14.5 Singapore Mobile Payments by Gen X Age Group 14.6 Singapore Mobile Payments by Boomers+ Age Group 15. Singapore Mobile Payments Market Share Analysis by Gender, Merchant Size, and Ticket Size 16. Further Reading 16.1 About PayNXT360 16.2 Related Research
Table 1: Singapore Gross Domestic Product at Current Prices, (US$ Billion), 2021–2030 Table 2: Singapore Gross Domestic Product at Current Prices, (US$), 2021–2030 Table 3: Singapore Average Mobile Data Cost (US$), 2021–2030 Table 4: Singapore Mobile Payments Total Addressable Market (TAM) (US$ Million), 2021–2030 Table 5: Singapore Mobile Payments - Transaction Value (US$ Million), 2021–2030 Table 6: Singapore Mobile Payments - Transaction Volume (Million), 2021–2030 Table 7: Singapore Mobile Payments - Average Value per Transaction (US$), 2021–2030 Table 8: Singapore Mobile Payments – Total Mobile Payment Revenue (US$ Million), 2021–2030 Table 9: Singapore Mobile Payments - Transaction-Based Revenue (US$ Million), 2021–2030 Table 10: Singapore Mobile Payments - Commission & Distribution Revenue (US$ Million), 2021–2030 Table 11: Singapore Mobile Payments - Platform & Monetization Revenue (US$ Million), 2021–2030 Table 12: Singapore Mobile Payments - Balance & Float Revenue (US$ Million), 2021–2030 Table 13: Mobile Payments – Debit Cards in Circulation (Million), 2021–2030 Table 14: Mobile Payments – Credit Cards in Circulation (Million), 2021–2030 Table 15: Mobile Payments – POS Terminal Density (Per Thousand), 2021–2030 Table 16: Mobile Payments Total QR Codes – Static (Million), 2021–2030 Table 17: Mobile Payments - Total POS Terminals Volume (Thousands), 2021-2030 Table 18: Mobile Payments - Contactless-Enabled POS Volume (Thousands), 2021-2030 Table 19: QR Code Based – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 20: QR Code Based – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 21: QR Code Based – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 22: NFC / Contactless – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 23: NFC / Contactless – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 24: NFC / Contactless – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 25: App-Based Transfer – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 26: App-Based Transfer – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 27: App-Based Transfer – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 28: Other Payment Methods – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 29: Other Payment Methods – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 30: Other Payment Methods – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 31: P2P (Person-to-Person) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 32: P2P (Person-to-Person) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 33: P2P (Person-to-Person) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 34: P2M (Person-to-Merchant) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 35: P2M (Person-to-Merchant) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 36: P2M (Person-to-Merchant) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 37: P2B (Person-to-Business / Bills) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 38: P2B (Person-to-Business / Bills) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 39: P2B (Person-to-Business / Bills) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 40: B2B (Business-to-Business) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 41: B2B (Business-to-Business) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 42: B2B (Business-to-Business) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 43: B2P (Business-to-Person) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 44: B2P (Business-to-Person) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Table 45: B2P (Business-to-Person) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Table 46: QR Code Based Payment across P2P (Person-to-Person) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 47: QR Code Based Payment across P2P (Person-to-Person) – Transaction Volume Trend Analysis (US$ Million), 2021–2030 Table 48: QR Code Based Payment across P2P (Person-to-Person) – Average Value Per Transaction (US$), 2021–2030 Table 49: QR Code Based Payment across P2M (Person-to-Merchant) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 50: QR Code Based Payment across P2M (Person-to-Merchant) – Transaction Volume Trend Analysis (Million), 2021–2030 Table 51: QR Code Based Payment across P2M (Person-to-Merchant) – Average Value Per Transaction (US$), 2021–2030 Table 52: NFC / Contactless Payment across P2M (Person-to-Merchant) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 53: NFC / Contactless Payment across P2M (Person-to-Merchant) – Transaction Volume Trend Analysis (Million), 2021–2030 Table 54: NFC / Contactless Payment across P2M (Person-to-Merchant) – Average Value Per Transaction (US$), 2021–2030 Table 55: App-Based Transfer across P2P (Person-to-Person) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 56: App-Based Transfer across P2P (Person-to-Person) – Transaction Volume Trend Analysis (US$ Million), 2021–2030 Table 57: App-Based Transfer across P2P (Person-to-Person) – Average Value Per Transaction (US$), 2021–2030 Table 58: App-Based Transfer across P2M (Person-to-Merchant) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 59: App-Based Transfer across P2M (Person-to-Merchant) – Transaction Volume Trend Analysis (Million), 2021–2030 Table 60: App-Based Transfer across P2M (Person-to-Merchant) – Average Value Per Transaction (US$), 2021–2030 Table 61: Retail / Grocery Stores Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 62: Retail / Grocery Stores Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 63: Retail / Grocery Stores Sector – Average Value Per Transaction (US$), 2021–2030 Table 64: Restaurants / Food & Beverage Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 65: Restaurants / Food & Beverage Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 66: Restaurants / Food & Beverage Sector – Average Value Per Transaction (US$), 2021–2030 Table 67: Fuel / Gas Stations Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 68: Fuel / Gas Stations Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 69: Fuel / Gas Stations Sector – Average Value Per Transaction (US$), 2021–2030 Table 70: Professional Services Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 71: Professional Services Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 72: Professional Services Sector – Average Value Per Transaction (US$), 2021–2030 Table 73: Healthcare / Pharmacy Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 74: Healthcare / Pharmacy Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 75: Healthcare / Pharmacy Sector – Average Value Per Transaction (US$), 2021–2030 Table 76: Education Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 77: Education Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 78: Education Sector – Average Value Per Transaction (US$), 2021–2030 Table 79: Entertainment / Recreation Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 80: Entertainment / Recreation Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 81: Entertainment / Recreation Sector – Average Value Per Transaction (US$), 2021–2030 Table 82: Travel / Hotels / Hospitality Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 83: Travel / Hotels / Hospitality Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 84: Travel / Hotels / Hospitality Sector – Average Value Per Transaction (US$), 2021–2030 Table 85: Transportation Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 86: Transportation Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Table 87: Transportation Sector – Average Value Per Transaction (US$), 2021–2030 Table 88: Other Sectors – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 89: Transportation Sectors – Transaction Volume Trend Analysis (Million), 2021–2030 Table 90: Other Sectors – Average Value Per Transaction (US$), 2021–2030 Table 91: Urban Area – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 92: Urban Area – Transaction Volume Trend Analysis (Million), 2021–2030 Table 93: Urban Area – Average Value Per Transaction (US$), 2021–2030 Table 94: Semi-Urban / Peri-Urban Area – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 95: Semi-Urban / Peri-Urban Area – Transaction Volume Trend Analysis (Million), 2021–2030 Table 96: Semi-Urban / Peri-Urban Area – Average Value Per Transaction (US$), 2021–2030 Table 97: Rural Area – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 98: Rural Area – Transaction Volume Trend Analysis (Million), 2021–2030 Table 99: Rural Area – Average Value Per Transaction (US$), 2021–2030 Table 100: Gen Z Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 101: Gen Z Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Table 102: Gen Z Age Group – Average Value Per Transaction (US$), 2021–2030 Table 103: Young Millennials Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 104: Young Millennials Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Table 105: Young Millennials Age Group – Average Value Per Transaction (US$), 2021–2030 Table 106: Older Millennials Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 107: Older Millennials Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Table 108: Older Millennials Age Group – Average Value Per Transaction (US$), 2021–2030 Table 109: Gen X Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 110: Gen X Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Table 111: Gen X Age Group – Average Value Per Transaction (US$), 2021–2030 Table 112: Boomers+ Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Table 113: Boomers+ Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Table 114: Boomers+ Age Group – Average Value Per Transaction (US$), 2021–2030
Figure 1: PayNXT360’s Methodology Framework Figure 2: Singapore Gross Domestic Product at Current Prices, (US$ Billion), 2021–2030 Figure 3: Singapore Gross Domestic Product Per Capita, (US$), 2021–2030 Figure 4: Singapore Smartphone Penetration Rate (%), 2021-2030 Figure 5: Singapore Internet Penetration Rate (%), 2021-2030 Figure 6: Singapore Mobile Broadband Coverage Rate (%), 2021-2030 Figure 7: Singapore Average Mobile Data Cost (US$), 2021-2030 Figure 8: Singapore Bank Account Penetration Rate (%), 2021-2030 Figure 9: Singapore Debit Card Penetration Rate (%), 2021-2030 Figure 10: Singapore Credit Card Penetration Rate (%), 2021-2030 Figure 11: Singapore Digital Payment Penetration Rate (%), 2021-2030 Figure 12: Singapore Mobile Wallet Penetration Rate (%), 2021-2030 Figure 13: Singapore Mobile Payments Total Addressable Market (TAM) (US$ Million), 2021–2030 Figure 14: Singapore Mobile Payments - Transaction Value (US$ Million), 2021–2030 Figure 15: Singapore Mobile Payments - Transaction Volume (Million), 2021–2030 Figure 16: Singapore Mobile Payments - Average Value per Transaction (US$), 2021–2030 Figure 17: Singapore Mobile Payments – Market Share Analysis by Key Players (%), 2025 Figure 18: Singapore Mobile Payments - Active Users (Million), 2021–2030 Figure 19: Singapore Mobile Payments - Total Registered Users (Million), 2021–2030 Figure 20: Singapore Mobile Payments Market Penetration Rate (%), 2021–2030 Figure 21: Singapore Mobile Payments - Transactions per User per Month (No. of Transactions), 2025 Figure 22: Singapore Mobile Payments - Transaction Success Rate (%), 2025 Figure 23: Singapore Mobile Payments - Fraud Rate (%), 2025 Figure 24: Singapore Mobile Payments - Total Merchants Accepting Payments (Thousands), 2025 Figure 25: Singapore Mobile Payments - Merchant Adoption Rate (%), 2025 Figure 26: Singapore Mobile Payments - Registered Mobile Payment Accounts (Million), 2025 Figure 27: Singapore Mobile Payments – Total Mobile Payment Revenue (US$ Million), 2021–2030 Figure 28: Singapore Mobile Payments – Average Merchant Discount Rate (MDR) (%), 2025 Figure 29: Singapore Mobile Payments – Average Consumer Fee Rate (%), 2025 Figure 30: Singapore Mobile Payments – Average Take Rate (%), 2025 Figure 31: Singapore Mobile Payments Revenue Share by Category, 2021-2030 Figure 32: Singapore Mobile Payments - Transaction-Based Revenue (US$ Million), 2021–2030 Figure 33: Singapore Mobile Payments - Commission & Distribution Revenue (US$ Million), 2021–2030 Figure 34: Singapore Mobile Payments - Platform & Monetization Revenue (US$ Million), 2021–2030 Figure 35: Singapore Mobile Payments - Balance & Float Revenue (US$ Million), 2021–2030 Figure 36: Mobile Payments – Debit Cards in Circulation (Million), 2021–2030 Figure 37: Mobile Payments – Credit Cards in Circulation (Million), 2021–2030 Figure 38: Mobile Payments – POS Terminal Density (Per Thousand), 2021–2030 Figure 39: Mobile Payments – Contactless Acceptance Penetration Rate (%), 2021–2030 Figure 40: Mobile Payments – Number of Wallet Providers (Number), 2025 Figure 41: Mobile Payments Wallet Funding by Instrument – Rates (Bank Account, Card, Cash) (%), 2025 Figure 42: Mobile Payments – QR Acceptance Penetration Rate (%), 2025 Figure 43: Mobile Payments – SoftPOS Penetration Rate (%), 2025 Figure 44: Mobile Payments – Payment Gateway Penetration Rate (%), 2025 Figure 45: Mobile Payments – Merchant Cost of Acceptance Rate (%), 2025 Figure 46: Mobile Payments Total QR Codes – Static (Million), 2021–2030 Figure 47: Mobile Payments Total QR Codes – Dynamic Share (%), 2025 Figure 48: Mobile Payments - Total POS Terminals Volume (Thousands), 2021-2030 Figure 49: Mobile Payments - Contactless-Enabled POS Volume (Thousands), 2021-2030 Figure 50: Mobile Payments - Contactless Terminal Penetration Rate (%), 2021-2030 Figure 51: Singapore Mobile Payments Market Share by Payment Method (%), 2021-2030 Figure 52: QR Code Based – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 53: QR Code Based – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 54: QR Code Based – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 55: NFC / Contactless – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 56: NFC / Contactless – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 57: NFC / Contactless – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 58: App-Based Transfer – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 59: App-Based Transfer – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 60: App-Based Transfer – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 61: Other Payment Methods – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 62: Other Payment Methods – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 63: Other Payment Methods – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 64: Singapore Mobile Payments Market Share by Transaction Type (%), 2021-2030 Figure 65: P2P (Person-to-Person) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 66: P2P (Person-to-Person) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 67: P2P (Person-to-Person) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 68: P2M (Person-to-Merchant) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 69: P2M (Person-to-Merchant) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 70: P2M (Person-to-Merchant) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 71: P2B (Person-to-Business / Bills) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 72: P2B (Person-to-Business / Bills) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 73: P2B (Person-to-Business / Bills) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 74: B2B (Business-to-Business) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 75: B2B (Business-to-Business) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 76: B2B (Business-to-Business) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 77: B2P (Business-to-Person) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 78: B2P (Business-to-Person) – Transaction Volume Trend Analysis (Thousands), 2021–2030 Figure 79: B2P (Business-to-Person) – Average Loan Ticket Size Trend Analysis (US$), 2021–2030 Figure 80: QR Code Based Payment across P2P (Person-to-Person) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 81: QR Code Based Payment across P2P (Person-to-Person) – Transaction Volume Trend Analysis (US$ Million), 2021–2030 Figure 82: QR Code Based Payment across P2P (Person-to-Person) – Average Value Per Transaction (US$), 2021–2030 Figure 83: QR Code Based Payment across P2M (Person-to-Merchant) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 84: QR Code Based Payment across P2M (Person-to-Merchant) – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 85: QR Code Based Payment across P2M (Person-to-Merchant) – Average Value Per Transaction (US$), 2021–2030 Figure 86: NFC / Contactless Payment across P2M (Person-to-Merchant) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 87: NFC / Contactless Payment across P2M (Person-to-Merchant) – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 88: NFC / Contactless Payment across P2M (Person-to-Merchant) – Average Value Per Transaction (US$), 2021–2030 Figure 89: App-Based Transfer across P2P (Person-to-Person) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 90: App-Based Transfer across P2P (Person-to-Person) – Transaction Volume Trend Analysis (US$ Million), 2021–2030 Figure 91: App-Based Transfer across P2P (Person-to-Person) – Average Value Per Transaction (US$), 2021–2030 Figure 92: App-Based Transfer across P2M (Person-to-Merchant) – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 93: App-Based Transfer across P2M (Person-to-Merchant) – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 94: App-Based Transfer across P2M (Person-to-Merchant) – Average Value Per Transaction (US$), 2021–2030 Figure 95: Mobile Payments Market Share by Merchant Category (%), 2021-2030 Figure 96: Retail / Grocery Stores Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 97: Retail / Grocery Stores Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 98: Retail / Grocery Stores Sector – Average Value Per Transaction (US$), 2021–2030 Figure 99: Restaurants / Food & Beverage Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 100: Restaurants / Food & Beverage Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 101: Restaurants / Food & Beverage Sector – Average Value Per Transaction (US$), 2021–2030 Figure 102: Fuel / Gas Stations Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 103: Fuel / Gas Stations Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 104: Fuel / Gas Stations Sector – Average Value Per Transaction (US$), 2021–2030 Figure 105: Professional Services Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 106: Professional Services Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 107: Professional Services Sector – Average Value Per Transaction (US$), 2021–2030 Figure 108: Healthcare / Pharmacy Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 109: Healthcare / Pharmacy Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 110: Healthcare / Pharmacy Sector – Average Value Per Transaction (US$), 2021–2030 Figure 111: Education Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 112: Education Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 113: Education Sector – Average Value Per Transaction (US$), 2021–2030 Figure 114: Entertainment / Recreation Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 115: Entertainment / Recreation Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 116: Entertainment / Recreation Sector – Average Value Per Transaction (US$), 2021–2030 Figure 117: Travel / Hotels / Hospitality Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 118: Travel / Hotels / Hospitality Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 119: Travel / Hotels / Hospitality Sector – Average Value Per Transaction (US$), 2021–2030 Figure 120: Transportation Sector – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 121: Transportation Sector – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 122: Transportation Sector – Average Value Per Transaction (US$), 2021–2030 Figure 123: Other Sectors – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 124: Transportation Sectors – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 125: Other Sectors – Average Value Per Transaction (US$), 2021–2030 Figure 126: Mobile Payments Market Share by Geography (%), 2021-2030 Figure 127: Urban Area – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 128: Urban Area – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 129: Urban Area – Average Value Per Transaction (US$), 2021–2030 Figure 130: Semi-Urban / Peri-Urban Area – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 131: Semi-Urban / Peri-Urban Area – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 132: Semi-Urban / Peri-Urban Area – Average Value Per Transaction (US$), 2021–2030 Figure 133: Rural Area – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 134: Rural Area – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 135: Rural Area – Average Value Per Transaction (US$), 2021–2030 Figure 136: Singapore Alternative Lending by Age Group (%), 2021-2030 Figure 137: Gen Z Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 138: Gen Z Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 139: Gen Z Age Group – Average Value Per Transaction (US$), 2021–2030 Figure 140: Young Millennials Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 141: Young Millennials Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 142: Young Millennials Age Group – Average Value Per Transaction (US$), 2021–2030 Figure 143: Older Millennials Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 144: Older Millennials Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 145: Older Millennials Age Group – Average Value Per Transaction (US$), 2021–2030 Figure 146: Gen X Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 147: Gen X Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 148: Gen X Age Group – Average Value Per Transaction (US$), 2021–2030 Figure 149: Boomers+ Age Group – Transaction Value Trend Analysis (US$ Million), 2021–2030 Figure 150: Boomers+ Age Group – Transaction Volume Trend Analysis (Million), 2021–2030 Figure 151: Boomers+ Age Group – Average Value Per Transaction (US$), 2021–2030 Figure 152: Singapore Mobile Payments Transaction Value Share by Gender (%), 2025
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