Summary

The Fintech as a Service market (FaaS) market size is estimated to grow from USD 358.8 billion in 2024 to USD 806.9 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 17.6% during the forecast period. The shift towards digital finance operations plays a significant role in pushing companies to adopt FaaS services. As businesses move from old-school banking to digital payments and money transfers, every company is jumping on board with the rapid growth of digital payments, lending, and other operations. This makes keeping an eye on and securing FaaS crucial. Safe APIs allow data to move between financial institutions and fintech firms. Following rules like GDPR and PCI DSS helps protect sensitive financial data from misuse or theft and drives the growth of the Fintech as a Service market (FaaS) market.
"By end user, the insurance companies accounts for a larger market share."
Insurance has many complicated, data-driven activities, like underwriting, claim processing, and fraud detection, that can be streamlined and optimized using FaaS to improve efficiency and accuracy. Insurers are more focused on delivering seamless digital experiences as well as personalized products for clients; hence, FaaS offers an opportunity to enhance customer retainability. Better risk assessment and pricing can be achieved by employing up-to-date information through analytics and telematics to develop dynamic pricing based on enhanced data analytics from FaaS. Advanced fraud prevention is possible because FaaS allows AI-enabled solutions to identify fraud patterns, significantly reducing risks. Due to the strict regulations governing the insurance industry, automation of compliance procedures is possible with the help of FaaS, thus reducing the risks involved. Parametric insurance and usage-based insurance need not wait long for development due to FaaS, as well as other innovative distribution channels like embedded insurance and digital marketplaces. Operational efficiency, customer experience, and product innovation at insurance companies can increase dramatically by fully embracing Fintech as a Service. 

Compliance & regulatory support accounts for larger market share , by application
The financial sector is characterized by numerous stringent laws, such as Anti-Money Laundering (AML), Know Your Customer (KYC), General Data Protection Regulation (GDPR), and the Revised Payment Service Directive (PSD2), which attract heavy penalties when violated. Taking into account issues regarding data security policy, regulations regarding protection against unauthorized use may be observed where the Customer Privacy Act are recently signed into law. To prevent fraud and manage operational risks, responsible compliance methods are necessary. When you show that you are complying, you are able to create a rapport that will make clients prefer working with the organization rather than the competitors. The operational efficiency of automated compliance activities increases as their costs decrease. In order to avoid any future problems related to this area and handle them on time, modern financial technology firms are required to consider their compliance at all levels above all else. As compliance scrutiny expands and non-adherence penalties increase fraudulent finance players will have to start seeking compliance and regulatory services if they are going to have significant market shares in the fintech-as-a-service market.

By region, North America accounts for the highest market size during the forecast period.
The presence of crucial aspects like constantly improving its technology infrastructure, high-speed internet access, advanced payment processing systems, cutting-edge data centers, trendsetting innovation culture, and developing technology adoption makes North America one of the largest growing sectors within finance technology (fintech). The region benefits from an ongoing customer base for fintech products, a mature banking industry, and a favorable regulatory environment because it has a technologically sophisticated population. The sector is driven by abundant venture capital funding as well as a flourishing collection of mergers and acquisitions by financial technology companies.

In North America, businesses in fintech utilize data analytics to enhance customer service experiences while developing more customer-oriented solutions. The modern educational institutions positioned in the region also help attract technological experts and attract talents, enabling further growth in this sector.













Breakdown of primaries
The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
• By Company Type: Tier 1 – 35%, Tier 2 – 45%, and Tier 3 – 20%
• By Designation: C-level – 40% and Managerial and Other Levels – 60%
• By Region: North America – 38%, Asia Pacific – 26%, Europe – 21%, and Middle East & Africa – 10%
Major vendors in the FaaS market include PayPal (US), Mastercard (US), Fiserv (US), Block (US), Rapyd (UK), Envestnet (US), Upstart (US), Solid Financial (US), FIS (US), Synctera (US), Stripe (US) , Adyen (Netherlands), Dwolla (US), Finastra (UK), Revolut (UK), Fispan (Canada), Nium (Singapore), Airwallex (Australia), Sofi Technologies Inc. (US), Margeta (US), Finx (US), Synapse (US).
The study includes an in-depth competitive analysis of the key players in the FaaS market, their company profiles, recent developments, and key market strategies.
Research Coverage
The report segments the FaaS market. It forecasts its size by Type (Banking, Payments, Insurance, Investments, Lending, accounting, wealth management), by Technology (AI & ML, Blockchain, RPA, API, big data), by application (Fraud Monitoring, KYC Verification, Compliance & Regulatory Support, Data Analytics and Insights, Customer Onboarding & Account Management, Money management, Real estate mortgage services), end user (Banks, Financial Institutes, Insurance Companies, Other End Users (Other end users include capital markets, retail, and eCommerce.)) and Region (North America, Europe, Asia Pacific, Middle East & Africa and Latin America).
The study also includes an in-depth competitive analysis of the market's key players, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall FaaS market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
• Analysis of key drivers (increasing digital financial services, open banking operational initiatives leg by governments), restraints (privacy and security concerns in FaaS adoption and complexity in integrating legacy systems), opportunities (transforming financial landscape through digital lending platforms and expansion of cross-border payments and remittances), and challenges (complexities and costs associated with financial regulations and growing competition in the fast-moving digital financial landscape).

• Product Development/Innovation: Detailed insights on upcoming technologies, research development activities, new products, and service launches in the Faas market.
• Market Development: Comprehensive information about lucrative markets – the report analyses the FaaS market across varied regions.
• Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the FaaS market.
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players PayPal (US), Mastercard (US), Fiserv (US), Block (US), Rapyd (UK), Envestnet (US), Upstart (US), Solid Financial (US), FIS (US), Synctera (US), Stripe (US) , Adyen (Netherlands), Dwolla (US), Finastra (UK), Revolut (UK), Fispan (Canada), Nium (Singapore), Airwallex (Australia), Sofi Technologies Inc. (US), Margeta (US), Finx (US), Synapse (US) among others, in the FaaS market strategies.

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Table of Contents

1 INTRODUCTION 43
1.1 STUDY OBJECTIVES 43
1.2 MARKET DEFINITION 43
1.2.1 INCLUSIONS AND EXCLUSIONS 44
1.3 STUDY SCOPE 45
1.3.1 MARKET SEGMENTATION 45
1.4 YEARS CONSIDERED 46
1.5 CURRENCY CONSIDERED 46
1.6 STAKEHOLDERS 47
1.7 SUMMARY OF CHANGES 47
2 RESEARCH METHODOLOGY 48
2.1 RESEARCH DATA 48
2.1.1 SECONDARY DATA 49
2.1.2 PRIMARY DATA 49
2.1.2.1 Breakup of primary profiles 49
2.1.2.2 Key insights from industry experts 50
2.2 DATA TRIANGULATION 51
2.3 MARKET SIZE ESTIMATION 52
2.3.1 TOP-DOWN APPROACH 52
2.3.2 BOTTOM-UP APPROACH 53
2.4 MARKET FORECAST 55
2.5 RESEARCH ASSUMPTIONS 56
2.6 RESEARCH LIMITATIONS 57
3 EXECUTIVE SUMMARY 58
4 PREMIUM INSIGHTS 61
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN FINTECH AS A SERVICE MARKET 61
4.2 FINTECH AS A SERVICE MARKET, BY TYPE 62
4.3 FINTECH AS A SERVICE MARKET, BY TECHNOLOGY 62
4.4 FINTECH AS A SERVICE MARKET, BY APPLICATION 63
4.5 FINTECH AS A SERVICE MARKET, BY END USER 63
4.6 MARKET INVESTMENT SCENARIO 64
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS 65
5.1 INTRODUCTION 65
5.2 MARKET DYNAMICS 65
5.2.1 DRIVERS 66
5.2.1.1 Operational flexibility and scalability with advent of cloud computing technology 66
5.2.1.2 Innovation of AI and blockchain 66
5.2.1.3 Rise in demand for streamlined compliance and regulatory solutions 67
5.2.1.4 Growth in demand for digital financial services 67
5.2.1.5 Open banking operational initiatives 67
5.2.2 RESTRAINTS 68
5.2.2.1 Complexity involved in integration with legacy systems 68
5.2.2.2 Issues related to data security and privacy 68
5.2.2.3 Lack of interoperability 69
5.2.2.4 Risks associated with geopolitical and macroeconomic factors 69
5.2.3 OPPORTUNITIES 69
5.2.3.1 Transforming financial landscape through digital lending platforms 69
5.2.3.2 Increase in shift toward digital banking and payments 70
5.2.3.3 Wealth management tools for investment services 70
5.2.3.4 Expansion of cross-border payments and remittances 70
5.2.4 CHALLENGES 71
5.2.4.1 Privacy concerns of data and security for financial services 71
5.2.4.2 Complexity and cost associated with financial regulations 71
5.2.4.3 Scalability and infrastructure challenges of FaaS 72
5.2.4.4 Growing competition in fast-moving digital financial landscape 72
5.3 CASE STUDY ANALYSIS 72
5.3.1 API PORTAL BY FISERV ENHANCED CONSUMER EXPERIENCE FOR VERIDIAN CREDIT UNION 72
5.3.2 PAYMYTUITION EXPANDED GLOBAL FOOTHOLD BY IMPLEMENTING RAPYD’S CROSS-BORDER AND LOCAL PAYMENTS TECHNOLOGY 73
5.3.3 HOME CHEF LEVERAGING PAYPAL CHECKOUT BUTTON TO BOOST NEW CUSTOMER SIGNUPS AND REVENUE 74
5.4 VALUE CHAIN ANALYSIS 75
5.4.1 TECHNOLOGY INFRASTRUCTURE PROVIDERS 76
5.4.2 FINTECH AS A SERVICE PROVIDERS 76
5.4.3 APPLICATION DEVELOPERS 76
5.4.4 SYSTEM INTEGRATORS 76
5.4.5 END-USERS 76
5.5 ECOSYSTEM ANALYSIS 77
5.6 PORTER’S FIVE FORCES MODEL ANALYSIS 79
5.6.1 THREAT OF NEW ENTRANTS 80
5.6.2 THREAT OF SUBSTITUTES 80
5.6.3 BARGAINING POWER OF SUPPLIERS 80
5.6.4 BARGAINING POWER OF BUYERS 81
5.6.5 INTENSITY OF COMPETITIVE RIVALRY 81
5.7 PRICING MODEL ANALYSIS 81
5.7.1 AVERAGE SELLING PRICE TREND OF FINTECH AS A SERVICE AMONG KEY PLAYERS, BY SOLUTION 82
5.7.2 INDICATIVE PRICING ANALYSIS, BY OFFERING 84
5.8 TECHNOLOGY ANALYSIS 85
5.8.1 KEY TECHNOLOGIES 85
5.8.1.1 Machine learning & artificial Intelligence (AI) 85
5.8.2 COMPLIMENTARY TECHNOLOGIES 85
5.8.2.1 Big data analytics 85
5.8.2.2 User behavior analytics 85
5.8.3 ADJACENT TECHNOLOGIES 86
5.8.3.1 Cloud computing 86
5.8.3.2 Digital identity verification 86
5.9 PATENT ANALYSIS 87
5.10 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 89
5.11 REGULATORY LANDSCAPE 90
5.11.1 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD (PCI–DSS) 90
5.11.2 KNOW YOUR CUSTOMER (KYC) 90
5.11.3 ANTI-MONEY LAUNDERING (AML) 91
5.11.4 FINANCIAL STABILITY OVERSIGHT COUNCIL (FSOC) 91
5.11.5 EUROPEAN UNION GENERAL DATA PROTECTION REGULATION (EU GDPR) 91
5.11.6 OFFICE OF THE SUPERINTENDENT OF FINANCIAL INSTITUTIONS (OSFI) 92
5.11.7 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 92
5.12 KEY STAKEHOLDERS AND BUYING CRITERIA 97
5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS 97
5.12.2 BUYING CRITERIA 98
5.13 KEY CONFERENCES & EVENTS 98
5.14 BUSINESS MODEL ANALYSIS 99
5.14.1 TRANSACTION FEE MODEL 99
5.14.2 SUBSCRIPTION-BASED MODEL 100
5.14.3 LICENSING AND PARTNERSHIPS 100
5.14.4 DATA MONETIZATION MODEL 100
5.14.5 CROWDFUNDING AND INVESTMENTS MODEL 101
5.14.6 REVENUE-SHARING MODEL 101
5.14.7 WHITE-LABELING MODEL 101
5.14.8 API MONETIZATION MODEL 101
5.14.9 MARKET PLACE MODEL 102
 
5.15 INVESTMENT AND FUNDING SCENARIO 102
5.16 IMPACT OF GENERATIVE AI ON FINTECH AS A SERVICE MARKET 103
5.16.1 TOP USE CASES & MARKET POTENTIAL 103
5.16.1.1 Key use cases 103
5.16.2 IMPACT OF GEN AI ON INTERCONNECTED AND ADJACENT ECOSYSTEM 104
5.16.2.1 Cloud Computing 105
5.16.2.2 Artificial Intelligence (AI) & Machine Learning (ML) 105
5.16.2.3 Blockchain 105
5.16.2.4 Big Data and Analytics 105
5.16.2.5 API Integration 106
6 FINTECH AS A SERVICE MARKET, BY TYPE 107
6.1 INTRODUCTION 108
6.2 BANKING 110
6.2.1 FINTECH STARTUPS VYING TO CAPITALIZE ON INTENSE COMPETITION AND MARKET CONSOLIDATION IN BANKING 110
6.2.2 BANKING: MARKET DRIVERS 110
6.3 PAYMENTS 111
6.3.1 FINTECH AS A SERVICE BRIDGES GAP BETWEEN TRADITIONAL PAYMENT METHODS AND TECHNOLOGY 111
6.3.2 PAYMENTS: MARKET DRIVERS 112
6.4 INSURANCE 113
6.4.1 INCREASE IN CONSUMER DEMAND FOR PERSONALIZED AND CONVENIENT INSURANCE 113
6.4.2 INSURANCE: MARKET DRIVERS 113
6.5 INVESTMENTS 114
6.5.1 EMBRACING SELF-DIRECTED INVESTING WITH FINTECH AS A SERVICE SOLUTIONS 114
6.5.2 INVESTMENTS: MARKET DRIVERS 115
6.6 LENDING 116
6.6.1 BORROWERS SEEK STREAMLINED LOAN APPLICATION PROCESSES, FASTER APPROVAL, AND MORE FLEXIBLE LENDING TERMS 116
6.6.2 LENDING: MARKET DRIVERS 116
6.7 ACCOUNTING 117
6.7.1 PRECISION OF SERVICES THROUGH ROLE OF ACCOUNTING IN FAAS MARKET 117
6.7.2 ACCOUNTING: MARKET DRIVERS 117
6.8 WEALTH MANAGEMENT 118
6.8.1 CATERING SMALL INVESTORS AND COMMUNICATION THROUGH USER APPS 118
6.8.2 WEALTH MANAGEMENT: MARKET DRIVERS 118
 
7 FINTECH AS A SERVICE MARKET, BY TECHNOLOGY 120
7.1 INTRODUCTION 121
7.2 AI & ML 122
7.2.1 AUTOMATING TASKS AND INCREASING OPERATIONAL EFFICIENCY THROUGH AI & ML 122
7.2.2 AI & ML: MARKET DRIVERS 123
7.3 BLOCKCHAIN 124
7.3.1 FACILITATING DIGITIZATION AND AUTOMATION OF TRADE PROCESSES WITH BLOCKCHAIN 124
7.3.2 BLOCKCHAIN: MARKET DRIVERS 124
7.4 RPA 125
7.4.1 STREAMLINING COMPLIANCE PROCESSES THROUGH AUTOMATION 125
7.4.2 RPA: MARKET DRIVERS 125
7.5 API 126
7.5.1 STANDARDIZED AND SEAMLESS INTEGRATION OF DIFFERENT APPLICATIONS USING API 126
7.5.2 API: MARKET DRIVERS 127
7.6 BIG DATA 128
7.6.1 AUTOMATION AND OPTIMIZATION OF FINANCIAL DATA USING BIG DATA 128
7.6.2 BIG DATA: MARKET DRIVERS 128
8 FINTECH AS A SERVICE MARKET, BY APPLICATION 130
8.1 INTRODUCTION 131
8.2 FRAUD MONITORING 133
8.2.1 SHIFT TOWARD DIGITAL TRANSACTIONS DRIVES NEED FOR ROBUST FRAUD MONITORING SOLUTIONS 133
8.2.2 FRAUD MONITORING: MARKET DRIVERS 134
8.2.3 FRAUD ANALYTICS 135
8.2.4 AUTHENTICATION 136
8.2.5 TRANSACTION ANOMALY DETECTION & FRAUD PREVENTION 137
8.2.6 ACCOUNT TAKEOVER PREVENTION 138
8.2.7 CREDIT RISK ASSESSMENT & PORTFOLIO MANAGEMENT 139
8.3 KYC VERIFICATION 140
8.3.1 EFFICIENT CUSTOMER ONBOARDING WITH KYC VERIFICATION-ENABLED SOLUTIONS 140
8.3.2 KYC VERIFICATION: MARKET DRIVERS 140
8.3.3 VIDEO VERIFICATION 142
8.3.4 DIGITAL ID SCHEMES 143
8.3.5 IDENTITY VERIFICATION 144
8.3.6 RISK SCORING 145
8.3.7 ANTI-MONEY LAUNDERING (AML) COMPLIANCE 146
 
8.4 COMPLIANCE & REGULATORY SUPPORT 147
8.4.1 ADHERENCE TO REGULATORY REQUIREMENTS WITH LAWS AND STANDARDS 147
8.4.2 COMPLIANCE & REGULATORY SUPPORT: MARKET DRIVERS 147
8.4.3 RISK MANAGEMENT 148
8.4.4 REGULATORY REPORTING & COMPLIANCE 149
8.4.5 AUDIT MANAGEMENT 150
8.4.6 REGTECH INTEGRATION 151
8.5 DATA ANALYTICS & INSIGHTS 152
8.5.1 CUSTOMER SEGMENTATION AND PERSONALIZATION TO ENHANCE SERVICE 152
8.5.2 DATA ANALYTICS & INSIGHTS: MARKET DRIVERS 152
8.5.3 DATA ANALYTICS AND REPORTING 153
8.5.4 FINANCIAL DATA ANALYSIS & REPORTING TOOLS 154
8.5.5 RISK ANALYTICS AND MACHINE LEARNING TOOLS 155
8.5.6 REGULATORY REPORTING DATA AGGREGATION & VISUALIZATION 156
8.5.7 BUSINESS INTELLIGENCE (BI) & DATA WAREHOUSING SOLUTIONS 157
8.6 CUSTOMER ONBOARDING AND ACCOUNT MANAGEMENT 159
8.6.1 BOOSTING CUSTOMER RELIABILITY AND TRUST 159
8.6.2 CUSTOMER ONBOARDING AND ACCOUNT MANAGEMENT: MARKET DRIVERS 159
8.6.3 DIGITAL ONBOARDING 160
8.6.4 ACCOUNT OPENING & ACCOUNT ACTIVATION WORKFLOWS 161
8.6.5 CUSTOMER IDENTITY AND ACCESS MANAGEMENT (CIAM) 162
8.6.6 MULTI-FACTOR AUTHENTICATION & SECURITY SOLUTIONS 163
8.7 MONEY MANAGEMENT 164
8.7.1 FAAS SOLUTIONS LEVERAGE USER DATA TO PERSONALIZE MONEY MANAGEMENT 164
8.7.2 MONEY MANAGEMENT: MARKET DRIVERS 164
8.8 REAL ESTATE MORTGAGE SERVICES 165
8.8.1 ENHANCING EFFICIENCY AND CUSTOMER EXPERIENCE THROUGH DIGITAL INNOVATION 165
9 FINTECH AS A SERVICE MARKET, BY END USER 167
9.1 INTRODUCTION 168
9.2 BANKS 169
9.2.1 COMPETITIVE EDGE OFFERED BY FAAS WITH ABILITY TO ADAPT TO CHANGING MARKET TRENDS 169
9.2.2 BANKS: MARKET DRIVERS 170
9.3 FINANCIAL INSTITUTES 171
9.3.1 OFFER ADVANCED DATA-DRIVEN DECISION-MAKING 171
9.3.2 FINANCIAL INSTITUTES: MARKET DRIVERS 171
9.4 INSURANCE COMPANIES 172
9.4.1 ENHANCED RISKS ASSESSMENT AND PERSONALIZED CUSTOMER SUPPORT 172
9.4.2 INSURANCE COMPANIES: MARKET DRIVERS 173
 
9.5 OTHER END USERS 174
9.5.1 OTHER END USERS: MARKET DRIVERS 174
10 FINTECH AS A SERVICE MARKET, BY REGION 176
10.1 INTRODUCTION 177
10.2 NORTH AMERICA 178
10.2.1 NORTH AMERICA: MARKET DRIVERS 179
10.2.2 NORTH AMERICA: REGULATORY LANDSCAPE 179
10.2.3 NORTH AMERICA: MACROECONOMIC OUTLOOK 180
10.2.4 US 189
10.2.4.1 Technological advancements with presence of key US vendors offering FaaS solutions 189
10.2.5 CANADA 196
10.2.5.1 Rapid growth of digital transformation measures in Canada 196
10.3 EUROPE 203
10.3.1 EUROPE: MARKET DRIVERS 203
10.3.2 EUROPE: REGULATORY LANDSCAPE 203
10.3.3 EUROPE: MACROECONOMIC OUTLOOK 204
10.3.4 UK 211
10.3.4.1 Thriving fintech startup culture in UK 211
10.3.5 GERMANY 218
10.3.5.1 Advanced infrastructure and robust connectivity in Germany 218
10.3.6 FRANCE 225
10.3.6.1 Innovation and opportunities revolutionizing financial industry in France 225
10.3.7 ITALY 232
10.3.7.1 Young and technology-savvy generation offers huge demand for digital financial services 232
10.3.8 REST OF EUROPE 238
10.4 ASIA PACIFIC 245
10.4.1 ASIA PACIFIC: MARKET DRIVERS 245
10.4.2 ASIA PACIFIC: REGULATORY LANDSCAPE 246
10.4.3 ASIA PACIFIC: MACROECONOMIC OUTLOOK 246
10.4.4 CHINA 255
10.4.4.1 Supportive government policies and technologically advanced infrastructure in China 255
10.4.5 JAPAN 262
10.4.5.1 Demand for personalized financial service in Japan 262
10.4.6 INDIA 269
10.4.6.1 Higher adoption of advanced AI and ML-based identity verification solutions 269
10.4.7 REST OF ASIA PACIFIC 276
 
10.5 MIDDLE EAST & AFRICA 283
10.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS 284
10.5.2 MIDDLE EAST & AFRICA: REGULATORY LANDSCAPE 284
10.5.3 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 285
10.5.4 GULF COOPERATION COUNCIL (GCC) 292
10.5.4.1 The GCC's emergence as a fintech hub driving financial innovation 292
10.5.4.2 KSA 299
10.5.4.2.1 Vision 2030 driving market growth 299
10.5.4.3 UAE 305
10.5.4.3.1 Investments and businesses streamlining growth of Fintech 305
10.5.4.4 Rest of GCC Countries 312
10.5.5 SOUTH AFRICA 318
10.5.5.1 South Africa to be attractive market for fintech growth 318
10.5.6 REST OF MIDDLE EAST & AFRICA 325
10.6 LATIN AMERICA 331
10.6.1 LATIN AMERICA: MARKET DRIVERS 332
10.6.2 LATIN AMERICA: REGULATORY LANDSCAPE 332
10.6.3 LATIN AMERICA: MACROECONOMIC OUTLOOK 333
10.6.4 BRAZIL 340
10.6.4.1 Smartphone’s penetration to boost digital banking initiatives 340
10.6.5 MEXICO 347
10.6.5.1 Security and regulatory constraints pose challenges 347
10.6.6 REST OF LATIN AMERICA 354
11 COMPETITIVE LANDSCAPE 361
11.1 KEY PLAYER STRATEGIES/RIGHT TO WIN 361
11.2 REVENUE ANALYSIS 364
11.3 MARKET SHARE ANALYSIS 366
11.4 BRAND COMPARISON 369
11.4.1 FINTECH AS A SERVICE MARKET: COMPARISON OF VENDORS’ BRANDS 369
11.4.2 PAYPAL 369
11.4.3 MASTERCARD 370
11.4.4 STRIPE 370
11.4.5 FISERV 370
11.4.6 RAPYD 370
11.5 COMPANY VALUATION AND FINANCIAL METRICS 371
11.5.1 COMPANY VALUATION 371
11.5.2 FINANCIAL METRICS USING EV/EBIDTA 371
 
11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 372
11.6.1 STARS 372
11.6.2 EMERGING LEADERS 372
11.6.3 PERVASIVE PLAYERS 372
11.6.4 PARTICIPANTS 373
11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 374
11.6.5.1 Company footprint 374
11.6.5.2 Type footprint 375
11.6.5.3 Technology footprint 375
11.6.5.4 Application footprint 376
11.6.5.5 Regional footprint 377
11.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 377
11.7.1 PROGRESSIVE COMPANIES 378
11.7.2 RESPONSIVE COMPANIES 378
11.7.3 DYNAMIC COMPANIES 378
11.7.4 STARTING BLOCKS 378
11.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 380
11.7.5.1 Detailed list of key startups/SMEs 380
11.7.5.2 Competitive benchmarking of key startups/SMEs 381
11.8 COMPETITIVE SCENARIO 382
11.8.1 PRODUCT LAUNCHES 382
11.8.2 DEALS 391
12 COMPANY PROFILES 415
12.1 INTRODUCTION 415
12.2 KEY PLAYERS 415
12.2.1 PAYPAL 415
12.2.1.1 Business overview 415
12.2.1.2 Products/Solutions/Services offered 417
12.2.1.3 Recent developments 418
12.2.1.3.1 Product launches/developments 418
12.2.1.3.2 Deals 420
12.2.1.4 MnM view 424
12.2.1.4.1 Key strengths 424
12.2.1.4.2 Strategic choices 424
12.2.1.4.3 Weaknesses and competitive threats 425
12.2.2 MASTERCARD 426
12.2.2.1 Business overview 426
12.2.2.2 Products/Solutions/Services offered 427
12.2.2.3 Recent developments 429
12.2.2.3.1 Product launches/developments 429
12.2.2.3.2 Deals 430
12.2.2.4 MnM view 433
12.2.2.4.1 Key strengths 433
12.2.2.4.2 Strategic choices 433
12.2.2.4.3 Weaknesses and competitive threats 434
12.2.3 FISERV 435
12.2.3.1 Business overview 435
12.2.3.2 Products/Solutions/Services offered 436
12.2.3.3 Recent developments 438
12.2.3.3.1 Product launches/developments 438
12.2.3.3.2 Deals 439
12.2.3.4 MnM view 442
12.2.3.4.1 Key strengths 442
12.2.3.4.2 Strategic choices 442
12.2.3.4.3 Weaknesses and competitive threats 442
12.2.4 BLOCK, INC. 443
12.2.4.1 Business overview 443
12.2.4.2 Products/Solutions/Services offered 444
12.2.4.3 Recent developments 446
12.2.4.3.1 Product launches/developments 446
12.2.4.3.2 Deals 447
12.2.4.4 MnM view 448
12.2.4.4.1 Key strengths 448
12.2.4.4.2 Strategic choices 448
12.2.4.4.3 Weaknesses and competitive threats 448
12.2.5 RAPYD 449
12.2.5.1 Business overview 449
12.2.5.2 Products/Solutions/Services offered 450
12.2.5.3 Recent developments 452
12.2.5.3.1 Product launches/developments 452
12.2.5.3.2 Deals 452
12.2.5.4 MnM view 454
12.2.5.4.1 Key strengths 454
12.2.5.4.2 Strategic choices 454
12.2.5.4.3 Weaknesses and competitive threats 454
12.2.6 ENVESTNET 455
12.2.6.1 Business overview 455
12.2.6.2 Products/Solutions/Services offered 456
12.2.6.3 Recent developments 457
12.2.6.3.1 Product launches/developments 457
12.2.6.3.2 Deals 458
 
12.2.7 UPSTART 462
12.2.7.1 Business overview 462
12.2.7.2 Products/Solutions/Services offered 463
12.2.7.3 Recent developments 464
12.2.7.3.1 Product launches/developments 464
12.2.7.3.2 Deals 465
12.2.8 SOLID FINANCIAL TECHNOLOGIES 468
12.2.8.1 Business overview 468
12.2.8.2 Products/Solutions/Services offered 469
12.2.8.3 Recent developments 470
12.2.8.3.1 Product launches/developments 470
12.2.8.3.2 Deals 470
12.2.9 FIS 472
12.2.9.1 Business overview 472
12.2.9.2 Products/Solutions/Services offered 473
12.2.9.3 Recent developments 476
12.2.9.3.1 Product launches/developments 476
12.2.9.3.2 Deals 477
12.2.10 SYNCTERA 479
12.2.10.1 Business overview 479
12.2.10.2 Products/Solutions/Services offered 480
12.2.10.3 Recent developments 481
12.2.10.3.1 Product launches/developments 481
12.2.10.3.2 Deals 482
12.3 OTHER KEY PLAYERS 483
12.3.1 STRIPE 483
12.3.2 ADYEN 484
12.3.3 DWOLLA 485
12.3.4 FINASTRA 486
12.3.5 REVOLUT 487
12.3.6 FISPAN 488
12.3.7 NIUM 489
12.3.8 AIRWALLEX 490
12.3.9 SOFI TECHNOLOGIES INC. 491
12.3.10 MARQETA 492
12.3.11 FINIX 493
12.3.12 SYNAPSE 494
12.3.13 PLAID 495
12.3.14 TINK 496
12.3.15 CURRENCY CLOUD 497
 
12.3.16 MAMBU 498
12.3.17 FORM3 499
12.3.18 SOLARIS 500
12.3.19 VOLANTE TECHNOLOGIES 501
13 ADJACENT MARKETS 502
13.1 INTRODUCTION 502
13.2 NLP IN FINANCE MARKET 502
13.2.1 MARKET DEFINITION 502
13.3 DIGITAL PAYMENTS MARKET 503
13.3.1 MARKET DEFINITION 503
14 APPENDIX 505
14.1 DISCUSSION GUIDE 505
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 509
14.3 CUSTOMIZATION OPTIONS 511
14.4 RELATED REPORTS 511
14.5 AUTHOR DETAILS 512