FaaS(Fintech as a Service) 시장 예측(-2029년) : 시장 규모 점유율, 성장 분석 - 유형별, 기술별, 용도별, 최종사용자별, 지역별
Fintech as a Service (FaaS) Market Size Share, Growth Analysis by Type (Banking, Payment, Insurance, Investment), Technology (AI, Blockchain, RPA, API), Application, End User and Region - Global Industry Forecast to 2029
FaaS(Fintech as a Service) 시장 규모는 2024년 3,588억 달러에서 2029년에는 8,069억 달러로 성장하며, 예측 기간 중 연간 평균 성장률(CAGR)은 17.6%에 달할 것으로 예측됩니다.
기업이 FaaS 서비스를 도입하는 배경에는 금융 업무의 디지털화 전환이 큰 역할을 하고 있습니다. 기업이 전통적인 은행 업무에서 디지털 결제 및 송금으로 전환함에 따라 모든 기업이 디지털 결제, 대출 및 기타 업무의 급격한 성장에 편승하고 있습니다. 따라서 FaaS를 주시하고 보안을 확보하는 것이 매우 중요해졌습니다. 안전한 API는 금융기관과 핀테크 기업 간의 데이터 이동을 가능하게 하며, GDPR(EU 개인정보보호규정) 및 PCI DSS와 같은 규칙을 준수하는 것은 민감한 금융 데이터를 악용 및 도난으로부터 보호하고 서비스형 핀테크 시장(FaaS)의 성장을 가속하는 데 도움이 될 것입니다.
| 조사 범위 |
| 조사 대상년 |
2018-2029년 |
| 기준년 |
2023년 |
| 예측 기간 |
2024-2029년 |
| 검토 단위 |
달러(10억 달러) |
| 부문별 |
유형별, 기술별, 용도별, 최종사용자별, 지역별 |
| 대상 지역 |
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카 |
보험사는 보험 인수, 보험금 청구 처리, 보험사기 탐지 등 복잡하고 데이터베이스 업무가 많은데, FaaS를 통해 이를 간소화하고 최적화하여 효율성과 정확성을 향상시킬 수 있습니다. 보험사는 고객에게 원활한 디지털 경험을 제공하고 개인화된 상품을 제공하는 데 중점을 두고 있으므로 FaaS는 고객 유지율을 높일 수 있는 기회를 제공합니다. 분석 및 텔레매틱스를 통해 최신 정보를 활용하고, FaaS를 통한 고급 데이터 분석을 기반으로 한 동적 가격 책정을 통해 더 나은 리스크 평가 및 가격 책정이 가능하며, FaaS의 AI 기반 솔루션은 부정행위 패턴을 식별하고 리스크를 크게 줄일 수 있습니다. 리스크를 크게 감소시켜 첨단 부정행위 방지가 가능합니다.
금융 부문은 자금세탁방지법(AML), 고객정보보호법(KYC), 일반개인정보보호규정(GDPR(EU 개인정보보호규정)), 개정된 결제서비스지침(PSD2) 등 위반시 무거운 벌칙이 부과되는 엄격한 법률이 다수 존재하는 것이 특징입니다. 데이터 보안 정책 관련 문제를 고려하면, 최근 서명된 고객 개인정보 보호법에 따라 부정사용에 대한 보호에 관한 규정과 정책이 보호될 수 있습니다. 부정행위를 방지하고 비즈니스 리스크를 관리하기 위해서는 책임감 있는 컴플라이언스 방법이 필요합니다. 컴플라이언스를 준수하는 모습을 보여주면 고객은 경쟁사가 아닌 해당 조직과 함께 일하는 것을 선호하게 될 것입니다. 자동화된 컴플라이언스 활동의 운영 효율성은 비용이 감소함에 따라 향상됩니다. 이 분야와 관련된 미래의 문제를 피하고 기한 내에 처리하기 위해 현대의 금융 기술 기업은 모든 수준에서 컴플라이언스를 무엇보다 중요하게 생각해야 합니다.
세계의 FaaS(Fintech as a Service) 시장에 대해 조사했으며, 유형별, 기술별, 용도별, 최종사용자별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요와 업계 동향
- 서론
- 시장 역학
- 사례 연구 분석
- 밸류체인 분석
- 에코시스템 분석
- PORTER'S FIVE FORCES 모델 분석
- 가격 모델 분석
- 기술 분석
- 특허 분석
- 고객 비즈니스에 영향을 미치는 동향/혼란
- 규제 상황
- 주요 이해관계자와 구입 기준
- 주요 컨퍼런스와 이벤트
- 비즈니스 모델 분석
- 투자와 자금조달 시나리오
- FaaS 시장에 대한 생성형 AI의 영향
제6장 FaaS 시장, 유형별
- 서론
- 은행 업무
- 결제
- 보험
- 투자
- 대출
- 회계
- 자산관리
제7장 FaaS 시장, 기술별
- 서론
- AI와 기계학습
- 블록체인
- RPA
- 번역
- 빅데이터
제8장 FaaS 시장, 용도별
- 서론
- 부정행위 감시
- KYC 검증
- 컴플라이언스와 규제 지원
- 데이터 분석과 인사이트
- 고객 온보딩과 어카운트 관리
- 자금 관리
- 부동산 모기지 서비스
제9장 FaaS 시장, 최종사용자별
제10장 FaaS 시장, 지역별
- 서론
- 북미
- 유럽
- 아시아태평양
- 중동 및 아프리카
- 라틴아메리카
제11장 경쟁 구도
- 주요 참여 기업의 전략/비책
- 매출 분석
- 시장 점유율 분석
- 브랜드 비교
- 기업 가치 평가와 재무 지표
- 기업 평가 매트릭스 : 주요 참여 기업, 2023년
- 기업 평가 매트릭스 : 스타트업/중소기업, 2023년
- 경쟁 시나리오
제12장 기업 개요
- 서론
- 주요 참여 기업
- PAYPAL
- MASTERCARD
- FISERV
- BLOCK, INC.
- RAPYD
- ENVESTNET
- UPSTART
- SOLID FINANCIAL TECHNOLOGIES
- FIS
- SYNCTERA
- 기타 기업
- STRIPE
- ADYEN
- DWOLLA
- FINASTRA
- REVOLUT
- FISPAN
- NIUM
- AIRWALLEX
- SOFI TECHNOLOGIES INC.
- MARQETA
- FINIX
- SYNAPSE
- PLAID
- TINK
- CURRENCY CLOUD
- MAMBU
- FORM3
- SOLARIS
- VOLANTE TECHNOLOGIES
제13장 인접 시장
제14장 부록
KSA
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.
| Scope of the Report |
|---|
| Years Considered for the Study | 2018-2029 |
| Base Year | 2023 |
| Forecast Period | 2024-2029 |
| Units Considered | USD (Billion) |
| Segments | By Type, Technology, Application, End User, Region. |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa and Latin America |
"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.
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 MARKET DEFINITION
- 1.2.1 INCLUSIONS AND EXCLUSIONS
- 1.3 STUDY SCOPE
- 1.3.1 MARKET SEGMENTATION
- 1.4 YEARS CONSIDERED
- 1.5 CURRENCY CONSIDERED
- 1.6 STAKEHOLDERS
- 1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
- 2.1 RESEARCH DATA
- 2.1.1 SECONDARY DATA
- 2.1.2 PRIMARY DATA
- 2.1.2.1 Breakup of primary profiles
- 2.1.2.2 Key insights from industry experts
- 2.2 DATA TRIANGULATION
- 2.3 MARKET SIZE ESTIMATION
- 2.3.1 TOP-DOWN APPROACH
- 2.3.2 BOTTOM-UP APPROACH
- 2.4 MARKET FORECAST
- 2.5 RESEARCH ASSUMPTIONS
- 2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
- 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN FINTECH AS A SERVICE MARKET
- 4.2 FINTECH AS A SERVICE MARKET, BY TYPE
- 4.3 FINTECH AS A SERVICE MARKET, BY TECHNOLOGY
- 4.4 FINTECH AS A SERVICE MARKET, BY APPLICATION
- 4.5 FINTECH AS A SERVICE MARKET, BY END USER
- 4.6 MARKET INVESTMENT SCENARIO
5 MARKET OVERVIEW AND INDUSTRY TRENDS
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
- 5.2.1.1 Operational flexibility and scalability with advent of cloud computing technology
- 5.2.1.2 Innovation of AI and blockchain
- 5.2.1.3 Rise in demand for streamlined compliance and regulatory solutions
- 5.2.1.4 Growth in demand for digital financial services
- 5.2.1.5 Open banking operational initiatives
- 5.2.2 RESTRAINTS
- 5.2.2.1 Complexity involved in integration with legacy systems
- 5.2.2.2 Issues related to data security and privacy
- 5.2.2.3 Lack of interoperability
- 5.2.2.4 Risks associated with geopolitical and macroeconomic factors
- 5.2.3 OPPORTUNITIES
- 5.2.3.1 Transforming financial landscape through digital lending platforms
- 5.2.3.2 Increase in shift toward digital banking and payments
- 5.2.3.3 Wealth management tools for investment services
- 5.2.3.4 Expansion of cross-border payments and remittances
- 5.2.4 CHALLENGES
- 5.2.4.1 Privacy concerns of data and security for financial services
- 5.2.4.2 Complexity and cost associated with financial regulations
- 5.2.4.3 Scalability and infrastructure challenges of FaaS
- 5.2.4.4 Growing competition in fast-moving digital financial landscape
- 5.3 CASE STUDY ANALYSIS
- 5.3.1 API PORTAL BY FISERV ENHANCED CONSUMER EXPERIENCE FOR VERIDIAN CREDIT UNION
- 5.3.2 PAYMYTUITION EXPANDED GLOBAL FOOTHOLD BY IMPLEMENTING RAPYD'S CROSS-BORDER AND LOCAL PAYMENTS TECHNOLOGY
- 5.3.3 HOME CHEF LEVERAGING PAYPAL CHECKOUT BUTTON TO BOOST NEW CUSTOMER SIGNUPS AND REVENUE
- 5.4 VALUE CHAIN ANALYSIS
- 5.4.1 TECHNOLOGY INFRASTRUCTURE PROVIDERS
- 5.4.2 FINTECH AS A SERVICE PROVIDERS
- 5.4.3 APPLICATION DEVELOPERS
- 5.4.4 SYSTEM INTEGRATORS
- 5.4.5 END-USERS
- 5.5 ECOSYSTEM ANALYSIS
- 5.6 PORTER'S FIVE FORCES MODEL ANALYSIS
- 5.6.1 THREAT OF NEW ENTRANTS
- 5.6.2 THREAT OF SUBSTITUTES
- 5.6.3 BARGAINING POWER OF SUPPLIERS
- 5.6.4 BARGAINING POWER OF BUYERS
- 5.6.5 INTENSITY OF COMPETITIVE RIVALRY
- 5.7 PRICING MODEL ANALYSIS
- 5.7.1 AVERAGE SELLING PRICE TREND OF FINTECH AS A SERVICE AMONG KEY PLAYERS, BY SOLUTION
- 5.7.2 INDICATIVE PRICING ANALYSIS, BY OFFERING
- 5.8 TECHNOLOGY ANALYSIS
- 5.8.1 KEY TECHNOLOGIES
- 5.8.1.1 Machine learning & artificial Intelligence (AI)
- 5.8.2 COMPLIMENTARY TECHNOLOGIES
- 5.8.2.1 Big data analytics
- 5.8.2.2 User behavior analytics
- 5.8.3 ADJACENT TECHNOLOGIES
- 5.8.3.1 Cloud computing
- 5.8.3.2 Digital identity verification
- 5.9 PATENT ANALYSIS
- 5.10 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
- 5.11 REGULATORY LANDSCAPE
- 5.11.1 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD (PCI-DSS)
- 5.11.2 KNOW YOUR CUSTOMER (KYC)
- 5.11.3 ANTI-MONEY LAUNDERING (AML)
- 5.11.4 FINANCIAL STABILITY OVERSIGHT COUNCIL (FSOC)
- 5.11.5 EUROPEAN UNION GENERAL DATA PROTECTION REGULATION (EU GDPR)
- 5.11.6 OFFICE OF THE SUPERINTENDENT OF FINANCIAL INSTITUTIONS (OSFI)
- 5.11.7 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
- 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.12.2 BUYING CRITERIA
- 5.13 KEY CONFERENCES & EVENTS
- 5.14 BUSINESS MODEL ANALYSIS
- 5.14.1 TRANSACTION FEE MODEL
- 5.14.2 SUBSCRIPTION-BASED MODEL
- 5.14.3 LICENSING AND PARTNERSHIPS
- 5.14.4 DATA MONETIZATION MODEL
- 5.14.5 CROWDFUNDING AND INVESTMENTS MODEL
- 5.14.6 REVENUE-SHARING MODEL
- 5.14.7 WHITE-LABELING MODEL
- 5.14.8 API MONETIZATION MODEL
- 5.14.9 MARKET PLACE MODEL
- 5.15 INVESTMENT AND FUNDING SCENARIO
- 5.16 IMPACT OF GENERATIVE AI ON FINTECH AS A SERVICE MARKET
- 5.16.1 TOP USE CASES & MARKET POTENTIAL
- 5.16.2 IMPACT OF GEN AI ON INTERCONNECTED AND ADJACENT ECOSYSTEM
- 5.16.2.1 Cloud Computing
- 5.16.2.2 Artificial Intelligence (AI) & Machine Learning (ML)
- 5.16.2.3 Blockchain
- 5.16.2.4 Big Data and Analytics
- 5.16.2.5 API Integration
6 FINTECH AS A SERVICE MARKET, BY TYPE
- 6.1 INTRODUCTION
- 6.2 BANKING
- 6.2.1 FINTECH STARTUPS VYING TO CAPITALIZE ON INTENSE COMPETITION AND MARKET CONSOLIDATION IN BANKING
- 6.2.2 BANKING: MARKET DRIVERS
- 6.3 PAYMENTS
- 6.3.1 FINTECH AS A SERVICE BRIDGES GAP BETWEEN TRADITIONAL PAYMENT METHODS AND TECHNOLOGY
- 6.3.2 PAYMENTS: MARKET DRIVERS
- 6.4 INSURANCE
- 6.4.1 INCREASE IN CONSUMER DEMAND FOR PERSONALIZED AND CONVENIENT INSURANCE
- 6.4.2 INSURANCE: MARKET DRIVERS
- 6.5 INVESTMENTS
- 6.5.1 EMBRACING SELF-DIRECTED INVESTING WITH FINTECH AS A SERVICE SOLUTIONS
- 6.5.2 INVESTMENTS: MARKET DRIVERS
- 6.6 LENDING
- 6.6.1 BORROWERS SEEK STREAMLINED LOAN APPLICATION PROCESSES, FASTER APPROVAL, AND MORE FLEXIBLE LENDING TERMS
- 6.6.2 LENDING: MARKET DRIVERS
- 6.7 ACCOUNTING
- 6.7.1 PRECISION OF SERVICES THROUGH ROLE OF ACCOUNTING IN FAAS MARKET
- 6.7.2 ACCOUNTING: MARKET DRIVERS
- 6.8 WEALTH MANAGEMENT
- 6.8.1 CATERING SMALL INVESTORS AND COMMUNICATION THROUGH USER APPS
- 6.8.2 WEALTH MANAGEMENT: MARKET DRIVERS
7 FINTECH AS A SERVICE MARKET, BY TECHNOLOGY
- 7.1 INTRODUCTION
- 7.2 AI & ML
- 7.2.1 AUTOMATING TASKS AND INCREASING OPERATIONAL EFFICIENCY THROUGH AI & ML
- 7.2.2 AI & ML: MARKET DRIVERS
- 7.3 BLOCKCHAIN
- 7.3.1 FACILITATING DIGITIZATION AND AUTOMATION OF TRADE PROCESSES WITH BLOCKCHAIN
- 7.3.2 BLOCKCHAIN: MARKET DRIVERS
- 7.4 RPA
- 7.4.1 STREAMLINING COMPLIANCE PROCESSES THROUGH AUTOMATION
- 7.4.2 RPA: MARKET DRIVERS
- 7.5 API
- 7.5.1 STANDARDIZED AND SEAMLESS INTEGRATION OF DIFFERENT APPLICATIONS USING API
- 7.5.2 API: MARKET DRIVERS
- 7.6 BIG DATA
- 7.6.1 AUTOMATION AND OPTIMIZATION OF FINANCIAL DATA USING BIG DATA
- 7.6.2 BIG DATA: MARKET DRIVERS
8 FINTECH AS A SERVICE MARKET, BY APPLICATION
- 8.1 INTRODUCTION
- 8.2 FRAUD MONITORING
- 8.2.1 SHIFT TOWARD DIGITAL TRANSACTIONS DRIVES NEED FOR ROBUST FRAUD MONITORING SOLUTIONS
- 8.2.2 FRAUD MONITORING: MARKET DRIVERS
- 8.2.3 FRAUD ANALYTICS
- 8.2.4 AUTHENTICATION
- 8.2.5 TRANSACTION ANOMALY DETECTION & FRAUD PREVENTION
- 8.2.6 ACCOUNT TAKEOVER PREVENTION
- 8.2.7 CREDIT RISK ASSESSMENT & PORTFOLIO MANAGEMENT
- 8.3 KYC VERIFICATION
- 8.3.1 EFFICIENT CUSTOMER ONBOARDING WITH KYC VERIFICATION-ENABLED SOLUTIONS
- 8.3.2 KYC VERIFICATION: MARKET DRIVERS
- 8.3.3 VIDEO VERIFICATION
- 8.3.4 DIGITAL ID SCHEMES
- 8.3.5 IDENTITY VERIFICATION
- 8.3.6 RISK SCORING
- 8.3.7 ANTI-MONEY LAUNDERING (AML) COMPLIANCE
- 8.4 COMPLIANCE & REGULATORY SUPPORT
- 8.4.1 ADHERENCE TO REGULATORY REQUIREMENTS WITH LAWS AND STANDARDS
- 8.4.2 COMPLIANCE & REGULATORY SUPPORT: MARKET DRIVERS
- 8.4.3 RISK MANAGEMENT
- 8.4.4 REGULATORY REPORTING & COMPLIANCE
- 8.4.5 AUDIT MANAGEMENT
- 8.4.6 REGTECH INTEGRATION
- 8.5 DATA ANALYTICS & INSIGHTS
- 8.5.1 CUSTOMER SEGMENTATION AND PERSONALIZATION TO ENHANCE SERVICE
- 8.5.2 DATA ANALYTICS & INSIGHTS: MARKET DRIVERS
- 8.5.3 DATA ANALYTICS AND REPORTING
- 8.5.4 FINANCIAL DATA ANALYSIS & REPORTING TOOLS
- 8.5.5 RISK ANALYTICS AND MACHINE LEARNING TOOLS
- 8.5.6 REGULATORY REPORTING DATA AGGREGATION & VISUALIZATION
- 8.5.7 BUSINESS INTELLIGENCE (BI) & DATA WAREHOUSING SOLUTIONS
- 8.6 CUSTOMER ONBOARDING AND ACCOUNT MANAGEMENT
- 8.6.1 BOOSTING CUSTOMER RELIABILITY AND TRUST
- 8.6.2 CUSTOMER ONBOARDING AND ACCOUNT MANAGEMENT: MARKET DRIVERS
- 8.6.3 DIGITAL ONBOARDING
- 8.6.4 ACCOUNT OPENING & ACCOUNT ACTIVATION WORKFLOWS
- 8.6.5 CUSTOMER IDENTITY AND ACCESS MANAGEMENT (CIAM)
- 8.6.6 MULTI-FACTOR AUTHENTICATION & SECURITY SOLUTIONS
- 8.7 MONEY MANAGEMENT
- 8.7.1 FAAS SOLUTIONS LEVERAGE USER DATA TO PERSONALIZE MONEY MANAGEMENT
- 8.7.2 MONEY MANAGEMENT: MARKET DRIVERS
- 8.8 REAL ESTATE MORTGAGE SERVICES
- 8.8.1 ENHANCING EFFICIENCY AND CUSTOMER EXPERIENCE THROUGH DIGITAL INNOVATION
9 FINTECH AS A SERVICE MARKET, BY END USER
- 9.1 INTRODUCTION
- 9.2 BANKS
- 9.2.1 COMPETITIVE EDGE OFFERED BY FAAS WITH ABILITY TO ADAPT TO CHANGING MARKET TRENDS
- 9.2.2 BANKS: MARKET DRIVERS
- 9.3 FINANCIAL INSTITUTES
- 9.3.1 OFFER ADVANCED DATA-DRIVEN DECISION-MAKING
- 9.3.2 FINANCIAL INSTITUTES: MARKET DRIVERS
- 9.4 INSURANCE COMPANIES
- 9.4.1 ENHANCED RISKS ASSESSMENT AND PERSONALIZED CUSTOMER SUPPORT
- 9.4.2 INSURANCE COMPANIES: MARKET DRIVERS
- 9.5 OTHER END USERS
- 9.5.1 OTHER END USERS: MARKET DRIVERS
10 FINTECH AS A SERVICE MARKET, BY REGION
- 10.1 INTRODUCTION
- 10.2 NORTH AMERICA
- 10.2.1 NORTH AMERICA: MARKET DRIVERS
- 10.2.2 NORTH AMERICA: REGULATORY LANDSCAPE
- 10.2.3 NORTH AMERICA: MACROECONOMIC OUTLOOK
- 10.2.4 US
- 10.2.4.1 Technological advancements with presence of key US vendors offering FaaS solutions
- 10.2.5 CANADA
- 10.2.5.1 Rapid growth of digital transformation measures in Canada
- 10.3 EUROPE
- 10.3.1 EUROPE: MARKET DRIVERS
- 10.3.2 EUROPE: REGULATORY LANDSCAPE
- 10.3.3 EUROPE: MACROECONOMIC OUTLOOK
- 10.3.4 UK
- 10.3.4.1 Thriving fintech startup culture in UK
- 10.3.5 GERMANY
- 10.3.5.1 Advanced infrastructure and robust connectivity in Germany
- 10.3.6 FRANCE
- 10.3.6.1 Innovation and opportunities revolutionizing financial industry in France
- 10.3.7 ITALY
- 10.3.7.1 Young and technology-savvy generation offers huge demand for digital financial services
- 10.3.8 REST OF EUROPE
- 10.4 ASIA PACIFIC
- 10.4.1 ASIA PACIFIC: MARKET DRIVERS
- 10.4.2 ASIA PACIFIC: REGULATORY LANDSCAPE
- 10.4.3 ASIA PACIFIC: MACROECONOMIC OUTLOOK
- 10.4.4 CHINA
- 10.4.4.1 Supportive government policies and technologically advanced infrastructure in China
- 10.4.5 JAPAN
- 10.4.5.1 Demand for personalized financial service in Japan
- 10.4.6 INDIA
- 10.4.6.1 Higher adoption of advanced AI and ML-based identity verification solutions
- 10.4.7 REST OF ASIA PACIFIC
- 10.5 MIDDLE EAST & AFRICA
- 10.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
- 10.5.2 MIDDLE EAST & AFRICA: REGULATORY LANDSCAPE
- 10.5.3 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
- 10.5.4 GULF COOPERATION COUNCIL (GCC)
- 10.5.4.1 The GCC's emergence as a fintech hub driving financial innovation
- 10.5.4.2 KSA
- 10.5.4.2.1 Vision 2030 driving market growth
- 10.5.4.3 UAE
- 10.5.4.3.1 Investments and businesses streamlining growth of Fintech
- 10.5.4.4 Rest of GCC Countries
- 10.5.5 SOUTH AFRICA
- 10.5.5.1 South Africa to be attractive market for fintech growth
- 10.5.6 REST OF MIDDLE EAST & AFRICA
- 10.6 LATIN AMERICA
- 10.6.1 LATIN AMERICA: MARKET DRIVERS
- 10.6.2 LATIN AMERICA: REGULATORY LANDSCAPE
- 10.6.3 LATIN AMERICA: MACROECONOMIC OUTLOOK
- 10.6.4 BRAZIL
- 10.6.4.1 Smartphone's penetration to boost digital banking initiatives
- 10.6.5 MEXICO
- 10.6.5.1 Security and regulatory constraints pose challenges
- 10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
- 11.1 KEY PLAYER STRATEGIES/RIGHT TO WIN
- 11.2 REVENUE ANALYSIS
- 11.3 MARKET SHARE ANALYSIS
- 11.4 BRAND COMPARISON
- 11.4.1 FINTECH AS A SERVICE MARKET: COMPARISON OF VENDORS' BRANDS
- 11.4.2 PAYPAL
- 11.4.3 MASTERCARD
- 11.4.4 STRIPE
- 11.4.5 FISERV
- 11.4.6 RAPYD
- 11.5 COMPANY VALUATION AND FINANCIAL METRICS
- 11.5.1 COMPANY VALUATION
- 11.5.2 FINANCIAL METRICS USING EV/EBIDTA
- 11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
- 11.6.1 STARS
- 11.6.2 EMERGING LEADERS
- 11.6.3 PERVASIVE PLAYERS
- 11.6.4 PARTICIPANTS
- 11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
- 11.6.5.1 Company footprint
- 11.6.5.2 Type footprint
- 11.6.5.3 Technology footprint
- 11.6.5.4 Application footprint
- 11.6.5.5 Regional footprint
- 11.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
- 11.7.1 PROGRESSIVE COMPANIES
- 11.7.2 RESPONSIVE COMPANIES
- 11.7.3 DYNAMIC COMPANIES
- 11.7.4 STARTING BLOCKS
- 11.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
- 11.7.5.1 Detailed list of key startups/SMEs
- 11.7.5.2 Competitive benchmarking of key startups/SMEs
- 11.8 COMPETITIVE SCENARIO
- 11.8.1 PRODUCT LAUNCHES
- 11.8.2 DEALS
12 COMPANY PROFILES
- 12.1 INTRODUCTION
- 12.2 KEY PLAYERS
- 12.2.1 PAYPAL
- 12.2.1.1 Business overview
- 12.2.1.2 Products/Solutions/Services offered
- 12.2.1.3 Recent developments
- 12.2.1.3.1 Product launches/developments
- 12.2.1.3.2 Deals
- 12.2.1.4 MnM view
- 12.2.1.4.1 Key strengths
- 12.2.1.4.2 Strategic choices
- 12.2.1.4.3 Weaknesses and competitive threats
- 12.2.2 MASTERCARD
- 12.2.2.1 Business overview
- 12.2.2.2 Products/Solutions/Services offered
- 12.2.2.3 Recent developments
- 12.2.2.3.1 Product launches/developments
- 12.2.2.3.2 Deals
- 12.2.2.4 MnM view
- 12.2.2.4.1 Key strengths
- 12.2.2.4.2 Strategic choices
- 12.2.2.4.3 Weaknesses and competitive threats
- 12.2.3 FISERV
- 12.2.3.1 Business overview
- 12.2.3.2 Products/Solutions/Services offered
- 12.2.3.3 Recent developments
- 12.2.3.3.1 Product launches/developments
- 12.2.3.3.2 Deals
- 12.2.3.4 MnM view
- 12.2.3.4.1 Key strengths
- 12.2.3.4.2 Strategic choices
- 12.2.3.4.3 Weaknesses and competitive threats
- 12.2.4 BLOCK, INC.
- 12.2.4.1 Business overview
- 12.2.4.2 Products/Solutions/Services offered
- 12.2.4.3 Recent developments
- 12.2.4.3.1 Product launches/developments
- 12.2.4.3.2 Deals
- 12.2.4.4 MnM view
- 12.2.4.4.1 Key strengths
- 12.2.4.4.2 Strategic choices
- 12.2.4.4.3 Weaknesses and competitive threats
- 12.2.5 RAPYD
- 12.2.5.1 Business overview
- 12.2.5.2 Products/Solutions/Services offered
- 12.2.5.3 Recent developments
- 12.2.5.3.1 Product launches/developments
- 12.2.5.3.2 Deals
- 12.2.5.4 MnM view
- 12.2.5.4.1 Key strengths
- 12.2.5.4.2 Strategic choices
- 12.2.5.4.3 Weaknesses and competitive threats
- 12.2.6 ENVESTNET
- 12.2.6.1 Business overview
- 12.2.6.2 Products/Solutions/Services offered
- 12.2.6.3 Recent developments
- 12.2.6.3.1 Product launches/developments
- 12.2.6.3.2 Deals
- 12.2.7 UPSTART
- 12.2.7.1 Business overview
- 12.2.7.2 Products/Solutions/Services offered
- 12.2.7.3 Recent developments
- 12.2.7.3.1 Product launches/developments
- 12.2.7.3.2 Deals
- 12.2.8 SOLID FINANCIAL TECHNOLOGIES
- 12.2.8.1 Business overview
- 12.2.8.2 Products/Solutions/Services offered
- 12.2.8.3 Recent developments
- 12.2.8.3.1 Product launches/developments
- 12.2.8.3.2 Deals
- 12.2.9 FIS
- 12.2.9.1 Business overview
- 12.2.9.2 Products/Solutions/Services offered
- 12.2.9.3 Recent developments
- 12.2.9.3.1 Product launches/developments
- 12.2.9.3.2 Deals
- 12.2.10 SYNCTERA
- 12.2.10.1 Business overview
- 12.2.10.2 Products/Solutions/Services offered
- 12.2.10.3 Recent developments
- 12.2.10.3.1 Product launches/developments
- 12.2.10.3.2 Deals
- 12.3 OTHER KEY PLAYERS
- 12.3.1 STRIPE
- 12.3.2 ADYEN
- 12.3.3 DWOLLA
- 12.3.4 FINASTRA
- 12.3.5 REVOLUT
- 12.3.6 FISPAN
- 12.3.7 NIUM
- 12.3.8 AIRWALLEX
- 12.3.9 SOFI TECHNOLOGIES INC.
- 12.3.10 MARQETA
- 12.3.11 FINIX
- 12.3.12 SYNAPSE
- 12.3.13 PLAID
- 12.3.14 TINK
- 12.3.15 CURRENCY CLOUD
- 12.3.16 MAMBU
- 12.3.17 FORM3
- 12.3.18 SOLARIS
- 12.3.19 VOLANTE TECHNOLOGIES
13 ADJACENT MARKETS
- 13.1 INTRODUCTION
- 13.2 NLP IN FINANCE MARKET
- 13.3 DIGITAL PAYMENTS MARKET
14 APPENDIX
- 14.1 DISCUSSION GUIDE
- 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 14.3 CUSTOMIZATION OPTIONS
- 14.4 RELATED REPORTS
- 14.5 AUTHOR DETAILS
