Report Content
Chapter 1 Methodology & Scope
1.1 Scope & definitions
1.2 Methodology and forecast parameters
1.3 COVID-19 impact
1.3.1 North America
1.3.2 Europe
1.3.3 Asia Pacific
1.3.4 Latin America
1.3.5 Middle East & Africa
1.4 Impact of Russia Ukraine crisis
1.5 Data Sources
1.5.1 Secondary
1.5.2 Primary
1.6 Glossary
Chapter 2 Executive Summary
2.1 Digital lending platform industry 360º synopsis, 2018 – 2032
2.2 Business trends
2.2.1 Total addressable market (TAM) trends, 2023 - 2032
2.3 Regional trends
2.4 Solution trends
2.5 Application trends
2.6 Component trends
2.7 Deployment trends
2.8 Business model trends
2.9 Product trends
2.10 Application trends
Chapter 3 Digital Lending Platform Industry Insights
3.1 Introduction
3.2 Impact of COVID-19 outbreak
3.2.1 By region
3.2.1.1 North America
3.2.1.2 Europe
3.2.1.3 Asia Pacific
3.2.1.4 Latin America
3.2.1.5 Middle East & Africa
3.2.2 Strategies by major players to regain pre-COVID level growth
3.3 Impact analysis of Russia-Ukraine war
3.4 Digital lending platform industry ecosystem analysis
3.4.1 Digital lending platform provider
3.4.2 Digital lending service provider
3.4.3 Cloud service providers
3.4.4 System integrators
3.4.5 Distributors
3.4.6 End-users
3.4.7 Stakeholder profit margin analysis
3.4.8 Vendor matrix
3.5 Technology & innovation landscape
3.5.1 Artificial Intelligence (AI)
3.5.2 Predictive analytics
3.5.3 Blockchain
3.5.4 Biometrics
3.5.5 Application Processing Interfaces (APIs)
3.5.6 Human digital interface
3.6 Patent analysis
3.7 Investment portfolio
3.8 Industry news
3.8.1 North America
3.8.2 Europe
3.8.3 Asia Pacific
3.8.4 Latin America
3.8.5 Middle East & Africa
3.9 Regulatory landscape
3.9.1 North America
3.9.2 Europe
3.9.3 Asia Pacific
3.9.4 Latin America
3.9.5 MEA
3.10 Digital lending platform Vs traditional lending
3.11 Industry impact forces
3.11.1 Growth drivers
3.11.1.1 Increasing digitalization
3.11.1.2 Adoption of digital channels to improve customer experience
3.11.1.3 Rise in usage of smartphones for banking applications
3.11.1.4 A rise in the adoption of blockchain and AI-based digital lending platforms
3.11.1.5 Favorable government regulations for digital lending
3.11.2 Industry pitfalls & challenges
3.11.2.1 High dependence on traditional lending methods
3.11.2.2 Rising cybersecurity concerns among organizations
3.11.2.3 Lack of digital literacy in developing countries
3.12 Growth potential analysis
3.13 Porter’s analysis
3.13.1 Bargaining power of suppliers
3.13.2 Bargaining power of buyers
3.13.3 The threat of new entrants
3.13.4 The threat of substitute
3.13.5 Competitive rivalry
3.14 PESTEL analysis
3.14.1 Political
3.14.2 Economic
3.14.3 Social
3.14.4 Technological
3.14.5 Legal
3.14.6 Environmental
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, by revenue, 2022
4.2.1 Competitive analysis of major digital lending platform players, 2022
4.2.1.1 Ellie Mae Inc. (Intercontinental Exchange, Inc.)
4.2.1.2 Fidelity National Information Services, Inc., (FIS)
4.2.1.3 Finastra
4.2.1.4 Fiserv, Inc.
4.2.1.5 Pegasystems
4.2.1.6 Tavant
4.2.1.7 Temenos AG
4.2.2 Competitive analysis of market innovators, 2022
4.2.2.1 Argo Data Resource Corporation
4.2.2.2 Built Technologies
4.2.2.3 CU Direct
4.2.2.4 Docutech LLC
4.2.2.5 Sageworks (Abrigo)
4.2.2.6 Symitar (Jack Henry & Associates Inc.)
4.2.2.7 Turnkey Lender
4.2.3 Vendor adoption matrix
4.2.4 Strategic outlook matrix
Chapter 5 Digital Lending Platform Market, By Component
5.1 Key trends, by component
5.2 Solution
5.2.1 Market estimates and forecast, 2018 – 2032
5.2.2 Loan Origination System (LOS)
5.2.2.1 Market estimates and forecast, 2018 – 2032
5.2.3 Loan Management Systems
5.2.3.1 Market estimates and forecast, 2018 – 2032
5.2.4 Risk & Compliance Management Systems
5.2.4.1 Market estimates and forecast, 2018 – 2032
5.2.5 Point of Sale (POS) Systems
5.2.5.1 Market estimates and forecast, 2018 – 2032
5.2.6 Lending Analytics
5.2.6.1 Market estimates and forecast, 2018 – 2032
5.2.7 Collection & Recovery System
5.2.7.1 Market estimates and forecast, 2018 – 2032
5.2.8 Others
5.2.8.1 Market estimates and forecast, 2018 – 2032
5.3 Services
5.3.1 Market estimates and forecast, 2018 – 2032
5.3.2 Support & Maintenance
5.3.2.1 Market estimates and forecast, 2018 – 2032
5.3.3 Design & Implementation
5.3.3.1 Market estimates and forecast, 2018 – 2032
5.3.4 Training & Education
5.3.4.1 Market estimates and forecast, 2018 – 2032
5.3.5 Risk Assessment
5.3.5.1 Market estimates and forecast, 2018 – 2032
5.3.6 Consulting
5.3.6.1 Market estimates and forecast, 2018 – 2032
Chapter 6 Digital Lending Platform Market, By Deployment
6.1 Key trends, by deployment
6.2 On-premise
6.2.1 Market estimates and forecast, 2018 – 2032
6.3 Cloud
6.3.1 Market estimates and forecast, 2018 – 2032
Chapter 7 Digital Lending Platform Market, By Business Model
7.1 Key trends, by business model
7.2 Customer Driven
7.2.1 Market estimates and forecast, 2018 – 2032
7.3 Staff Driven
7.3.1 Market estimates and forecast, 2018 – 2032
Chapter 8 Digital Lending Platform Market, By Product
8.1 Key trends, by product
8.2 Personal Loan
8.2.1 Market estimates and forecast, 2018 – 2032
8.3 Automotive Loan
8.3.1 Market estimates and forecast, 2018 – 2032
8.4 SME Finance Loan
8.4.1 Market estimates and forecast, 2018 – 2032
8.5 Mortgage Loan
8.5.1 Market estimates and forecast, 2018 – 2032
Chapter 9 Digital Lending Platform Market, By Application
9.1 Key trends, by product
9.2 Bank & NBFCs
9.2.1 Market estimates and forecast, 2018 – 2032
9.3 Credit Union
9.3.1 Market estimates and forecast, 2018 – 2032
9.4 Fintech Companies
9.4.1 Market estimates and forecast, 2018 – 2032
9.5 P2P Lenders
9.5.1 Market estimates and forecast, 2018 – 2032
Chapter 10 Digital Lending Platform Market, By Region
10.1 Key trends, by region
10.2 North America
10.2.1 Market estimates and forecast, 2018 – 2032
10.2.2 Market estimates and forecast, by component, 2018 – 2032
10.2.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.2.2.2 Market estimates and forecast, by service, 2018 – 2032
10.2.3 Market estimates and forecast, by deployment, 2018 – 2032
10.2.4 Market estimates and forecast, by business model, 2018 – 2032
10.2.5 Market estimates and forecast, by product, 2018 – 2032
10.2.6 Market estimates and forecast, by application, 2018 – 2032
10.2.7 U.S.
10.2.7.1 Market estimates and forecast, 2018 – 2032
10.2.7.2 Market estimates and forecast, by component, 2018 – 2032
10.2.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.2.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.2.7.3 Market estimates and forecast, by deployment, 2018 – 2032
10.2.7.4 Market estimates and forecast, by business model, 2018 – 2032
10.2.7.5 Market estimates and forecast, by product, 2018 – 2032
10.2.7.6 Market estimates and forecast, by application, 2018 – 2032
10.2.8 Canada
10.2.8.1 Market estimates and forecast, 2018 – 2032
10.2.8.2 Market estimates and forecast, by component, 2018 – 2032
10.2.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.2.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.2.8.3 Market estimates and forecast, by deployment, 2018 – 2032
10.2.8.4 Market estimates and forecast, by business model, 2018 – 2032
10.2.8.5 Market estimates and forecast, by product, 2018 – 2032
10.2.8.6 Market estimates and forecast, by application, 2018 – 2032
10.3 Europe
10.3.1 Market estimates and forecast, 2018 – 2032
10.3.2 Market estimates and forecast, by component, 2018 – 2032
10.3.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.3 Market estimates and forecast, by deployment, 2018 – 2032
10.3.4 Market estimates and forecast, by business model, 2018 – 2032
10.3.5 Market estimates and forecast, by product, 2018 – 2032
10.3.6 Market estimates and forecast, by application, 2018 – 2032
10.3.7 UK
10.3.7.1 Market estimates and forecast, 2018 – 2032
10.3.7.2 Market estimates and forecast, by component, 2018 – 2032
10.3.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.7.3 Market estimates and forecast, by deployment, 2018 – 2032
10.3.7.4 Market estimates and forecast, by business model, 2018 – 2032
10.3.7.5 Market estimates and forecast, by product, 2018 – 2032
10.3.7.6 Market estimates and forecast, by application, 2018 – 2032
10.3.8 Germany
10.3.8.1 Market estimates and forecast, 2018 – 2032
10.3.8.2 Market estimates and forecast, by component, 2018 – 2032
10.3.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.8.3 Market estimates and forecast, by deployment, 2018 – 2032
10.3.8.4 Market estimates and forecast, by business model, 2018 – 2032
10.3.8.5 Market estimates and forecast, by product, 2018 – 2032
10.3.8.6 Market estimates and forecast, by application, 2018 – 2032
10.3.9 France
10.3.9.1 Market estimates and forecast, 2018 – 2032
10.3.9.2 Market estimates and forecast, by component, 2018 – 2032
10.3.9.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.9.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.9.3 Market estimates and forecast, by deployment, 2018 – 2032
10.3.9.4 Market estimates and forecast, by business model, 2018 – 2032
10.3.9.5 Market estimates and forecast, by product, 2018 – 2032
10.3.9.6 Market estimates and forecast, by application, 2018 – 2032
10.3.10 Italy
10.3.10.1 Market estimates and forecast, 2018 – 2032
10.3.10.2 Market estimates and forecast, by component, 2018 – 2032
10.3.10.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.10.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.10.3 Market estimates and forecast, by deployment, 2018 – 2032
10.3.10.4 Market estimates and forecast, by business model, 2018 – 2032
10.3.10.5 Market estimates and forecast, by product, 2018 – 2032
10.3.10.6 Market estimates and forecast, by application, 2018 – 2032
10.3.11 Spain
10.3.11.1 Market estimates and forecast, 2018 – 2032
10.3.11.2 Market estimates and forecast, by component, 2018 – 2032
10.3.11.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.11.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.11.3 Market estimates and forecast, by deployment, 2018 – 2032
10.3.11.4 Market estimates and forecast, by business model, 2018 – 2032
10.3.11.5 Market estimates and forecast, by product, 2018 – 2032
10.3.11.6 Market estimates and forecast, by application, 2018 – 2032
10.3.12 Switzerland
10.3.12.1 Market estimates and forecast, 2018 – 2032
10.3.12.2 Market estimates and forecast, by component, 2018 – 2032
10.3.12.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.12.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.12.3 Market estimates and forecast, by deployment, 2018 – 2032
10.3.12.4 Market estimates and forecast, by business model, 2018 – 2032
10.3.12.5 Market estimates and forecast, by product, 2018 – 2032
10.3.12.6 Market estimates and forecast, by application, 2018 – 2032
10.4 Asia Pacific
10.4.1 Market estimates and forecast, 2018 – 2032
10.4.2 Market estimates and forecast, by component, 2018 – 2032
10.4.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.3 Market estimates and forecast, by deployment, 2018 – 2032
10.4.4 Market estimates and forecast, by business model, 2018 – 2032
10.4.5 Market estimates and forecast, by product, 2018 – 2032
10.4.6 Market estimates and forecast, by application, 2018 – 2032
10.4.7 Australia
10.4.7.1 Market estimates and forecast, 2018 – 2032
10.4.7.2 Market estimates and forecast, by component, 2018 – 2032
10.4.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.7.3 Market estimates and forecast, by deployment, 2018 – 2032
10.4.7.4 Market estimates and forecast, by business model, 2018 – 2032
10.4.7.5 Market estimates and forecast, by product, 2018 – 2032
10.4.7.6 Market estimates and forecast, by application, 2018 – 2032
10.4.8 China
10.4.8.1 Market estimates and forecast, 2018 – 2032
10.4.8.2 Market estimates and forecast, by component, 2018 – 2032
10.4.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.8.3 Market estimates and forecast, by deployment, 2018 – 2032
10.4.8.4 Market estimates and forecast, by business model, 2018 – 2032
10.4.8.5 Market estimates and forecast, by product, 2018 – 2032
10.4.8.6 Market estimates and forecast, by application, 2018 – 2032
10.4.9 India
10.4.9.1 Market estimates and forecast, 2018 – 2032
10.4.9.2 Market estimates and forecast, by component, 2018 – 2032
10.4.9.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.9.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.9.3 Market estimates and forecast, by deployment, 2018 – 2032
10.4.9.4 Market estimates and forecast, by business model, 2018 – 2032
10.4.9.5 Market estimates and forecast, by product, 2018 – 2032
10.4.9.6 Market estimates and forecast, by application, 2018 – 2032
10.4.10 Japan
10.4.10.1 Market estimates and forecast, 2018 – 2032
10.4.10.2 Market estimates and forecast, by component, 2018 – 2032
10.4.10.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.10.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.10.3 Market estimates and forecast, by deployment, 2018 – 2032
10.4.10.4 Market estimates and forecast, by business model, 2018 – 2032
10.4.10.5 Market estimates and forecast, by product, 2018 – 2032
10.4.10.6 Market estimates and forecast, by application, 2018 – 2032
10.4.11 South Korea
10.4.11.1 Market estimates and forecast, 2018 – 2032
10.4.11.2 Market estimates and forecast, by component, 2018 – 2032
10.4.11.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.11.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.11.3 Market estimates and forecast, by deployment, 2018 – 2032
10.4.11.4 Market estimates and forecast, by business model, 2018 – 2032
10.4.11.5 Market estimates and forecast, by product, 2018 – 2032
10.4.11.6 Market estimates and forecast, by application, 2018 – 2032
10.4.12 Southeast Asia
10.4.12.1 Market estimates and forecast, 2018 – 2032
10.4.12.2 Market estimates and forecast, by component, 2018 – 2032
10.4.12.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.12.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.12.3 Market estimates and forecast, by deployment, 2018 – 2032
10.4.12.4 Market estimates and forecast, by business model, 2018 – 2032
10.4.12.5 Market estimates and forecast, by product, 2018 – 2032
10.4.12.6 Market estimates and forecast, by application, 2018 – 2032
10.5 Latin America
10.5.1 Market estimates and forecast, 2018 – 2032
10.5.2 Market estimates and forecast, by component, 2018 – 2032
10.5.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.3 Market estimates and forecast, by deployment, 2018 – 2032
10.5.4 Market estimates and forecast, by business model, 2018 – 2032
10.5.5 Market estimates and forecast, by product, 2018 – 2032
10.5.6 Market estimates and forecast, by application, 2018 – 2032
10.5.7 Argentina
10.5.7.1 Market estimates and forecast, 2018 – 2032
10.5.7.2 Market estimates and forecast, by component, 2018 – 2032
10.5.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.7.3 Market estimates and forecast, by deployment, 2018 – 2032
10.5.7.4 Market estimates and forecast, by business model, 2018 – 2032
10.5.7.5 Market estimates and forecast, by product, 2018 – 2032
10.5.7.6 Market estimates and forecast, by application, 2018 – 2032
10.5.8 Colombia
10.5.8.1 Market estimates and forecast, 2018 – 2032
10.5.8.2 Market estimates and forecast, by component, 2018 – 2032
10.5.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.8.3 Market estimates and forecast, by deployment, 2018 – 2032
10.5.8.4 Market estimates and forecast, by business model, 2018 – 2032
10.5.8.5 Market estimates and forecast, by product, 2018 – 2032
10.5.8.6 Market estimates and forecast, by application, 2018 – 2032
10.5.9 Brazil
10.5.9.1 Market estimates and forecast, 2018 – 2032
10.5.9.2 Market estimates and forecast, by component, 2018 – 2032
10.5.9.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.9.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.9.3 Market estimates and forecast, by deployment, 2018 – 2032
10.5.9.4 Market estimates and forecast, by business model, 2018 – 2032
10.5.9.5 Market estimates and forecast, by product, 2018 – 2032
10.5.9.6 Market estimates and forecast, by application, 2018 – 2032
10.5.10 Mexico
10.5.10.1 Market estimates and forecast, 2018 – 2032
10.5.10.2 Market estimates and forecast, by component, 2018 – 2032
10.5.10.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.10.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.10.3 Market estimates and forecast, by deployment, 2018 – 2032
10.5.10.4 Market estimates and forecast, by business model, 2018 – 2032
10.5.10.5 Market estimates and forecast, by product, 2018 – 2032
10.5.10.6 Market estimates and forecast, by application, 2018 – 2032
10.6 MEA
10.6.1 Market estimates and forecast, 2018 – 2032
10.6.2 Market estimates and forecast, by component, 2018 – 2032
10.6.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.3 Market estimates and forecast, by deployment, 2018 – 2032
10.6.4 Market estimates and forecast, by business model, 2018 – 2032
10.6.5 Market estimates and forecast, by product, 2018 – 2032
10.6.6 Market estimates and forecast, by application, 2018 – 2032
10.6.7 Saudi Arabia
10.6.7.1 Market estimates and forecast, 2018 – 2032
10.6.7.2 Market estimates and forecast, by component, 2018 – 2032
10.6.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.7.3 Market estimates and forecast, by deployment, 2018 – 2032
10.6.7.4 Market estimates and forecast, by business model, 2018 – 2032
10.6.7.5 Market estimates and forecast, by product, 2018 – 2032
10.6.7.6 Market estimates and forecast, by application, 2018 – 2032
10.6.8 South Africa
10.6.8.1 Market estimates and forecast, 2018 – 2032
10.6.8.2 Market estimates and forecast, by component, 2018 – 2032
10.6.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.8.3 Market estimates and forecast, by deployment, 2018 – 2032
10.6.8.4 Market estimates and forecast, by business model, 2018 – 2032
10.6.8.5 Market estimates and forecast, by product, 2018 – 2032
10.6.8.6 Market estimates and forecast, by application, 2018 – 2032
10.6.9 UAE
10.6.9.1 Market estimates and forecast, 2018 – 2032
10.6.9.2 Market estimates and forecast, by component, 2018 – 2032
10.6.9.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.9.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.9.3 Market estimates and forecast, by deployment, 2018 – 2032
10.6.9.4 Market estimates and forecast, by business model, 2018 – 2032
10.6.9.5 Market estimates and forecast, by product, 2018 – 2032
10.6.9.6 Market estimates and forecast, by application, 2018 – 2032
Chapter 11 Company Profiles
11.1 ARGO Data Resource Corporation
11.1.1 Business Overview
11.1.2 Financial Data
11.1.3 Product Landscape
11.1.4 Strategic Outlook
11.1.5 SWOT Analysis
11.2 Base-Net Informatik AG
11.2.1 Business Overview
11.2.2 Financial Data
11.2.3 Product Landscape
11.2.4 Strategic Outlook
11.2.5 SWOT Analysis
11.3 Built Technologies, Inc.
11.3.1 Business Overview
11.3.2 Financial Data
11.3.3 Product Landscape
11.3.4 Strategic Outlook
11.3.5 SWOT Analysis
11.4 CU Direct
11.4.1 Business Overview
11.4.2 Financial Data
11.4.3 Product Landscape
11.4.4 Strategic Outlook
11.4.5 SWOT Analysis
11.5 Decimal Technologies Pvt. Ltd.
11.5.1 Business Overview
11.5.2 Financial Data
11.5.3 Product Landscape
11.5.4 Strategic Outlook
11.5.5 SWOT Analysis
11.6 Docutech LLC
11.6.1 Business Overview
11.6.2 Financial Data
11.6.3 Product Landscape
11.6.4 Strategic Outlook
11.6.5 SWOT Analysis
11.7 Ellie Mae, Inc.
11.7.1 Business Overview
11.7.2 Financial Data
11.7.3 Product Landscape
11.7.4 Strategic Outlook
11.7.5 SWOT Analysis
11.8 Finantix Pro SRL
11.8.1 Business Overview
11.8.2 Financial Data
11.8.3 Product Landscape
11.8.4 Strategic Outlook
11.8.5 SWOT Analysis
11.9 Finastra
11.9.1 Business Overview
11.9.2 Financial Data
11.9.3 Product Landscape
11.9.4 Strategic Outlook
11.9.5 SWOT Analysis
11.10 Fidelity National Information Services (FIS), Inc.
11.10.1 Business Overview
11.10.2 Financial Data
11.10.3 Product Landscape
11.10.4 Strategic Outlook
11.10.5 SWOT Analysis
11.11 Fiserv Inc.
11.11.1 Business Overview
11.11.2 Financial Data
11.11.3 Product Landscape
11.11.4 Strategic Outlook
11.11.5 SWOT Analysis
11.12 Intellect Design Arena Ltd.
11.12.1 Business Overview
11.12.2 Financial Data
11.12.3 Product Landscape
11.12.4 Strategic Outlook
11.12.5 SWOT Analysis
11.13 Juristech Sdn Bhd
11.13.1 Business Overview
11.13.2 Financial Data
11.13.3 Product Landscape
11.13.4 Strategic Outlook
11.13.5 SWOT Analysis
11.14 Loanboox (Swiss Fintech AG)
11.14.1 Business Overview
11.14.2 Financial Data
11.14.3 Product Landscape
11.14.4 Strategic Outlook
11.14.5 SWOT Analysis
11.15 Mambu GmbH
11.15.1 Business Overview
11.15.2 Financial Data
11.15.3 Product Landscape
11.15.4 Strategic Outlook
11.15.5 SWOT Analysis
11.16 Newgen Software Technologies Limited
11.16.1 Business Overview
11.16.2 Financial Data
11.16.3 Product Landscape
11.16.4 Strategic Outlook
11.16.5 SWOT Analysis
11.17 Nucleus Software Exports Ltd.
11.17.1 Business Overview
11.17.2 Financial Data
11.17.3 Product Landscape
11.17.4 Strategic Outlook
11.17.5 SWOT Analysis
11.18 Pegasystems, Inc.
11.18.1 Business Overview
11.18.2 Financial Data
11.18.3 Product Landscape
11.18.4 Strategic Outlook
11.18.5 SWOT Analysis
11.19 Roostify
11.19.1 Business Overview
11.19.2 Financial Data
11.19.3 Product Landscape
11.19.4 Strategic Outlook
11.19.5 SWOT Analysis
11.20 Sageworks (Abrigo)
11.20.1 Business Overview
11.20.2 Financial Data
11.20.3 Product Landscape
11.20.4 Strategic Outlook
11.20.5 SWOT Analysis
11.21 Sigma Infosolutions
11.21.1 Business Overview
11.21.2 Financial Data
11.21.3 Product Landscape
11.21.4 Strategic Outlook
11.21.5 SWOT Analysis
11.22 Symitar
11.22.1 Business Overview
11.22.2 Financial Data
11.22.3 Product Landscape
11.22.4 Strategic Outlook
11.22.5 SWOT Analysis
11.23 Tavant
11.23.1 Business Overview
11.23.2 Financial Data
11.23.3 Product Landscape
11.23.4 Strategic Outlook
11.23.5 SWOT Analysis
11.24 Temenos AG
11.24.1 Business Overview
11.24.2 Financial Data
11.24.3 Product Landscape
11.24.4 Strategic Outlook
11.24.5 SWOT Analysis
11.25 Teylor AG
11.25.1 Business Overview
11.25.2 Financial Data
11.25.3 Product Landscape
11.25.4 Strategic Outlook
11.25.5 SWOT Analysis
11.26 Turnkey Lender
11.26.1 Business Overview
11.26.2 Financial Data
11.26.3 Product Landscape
11.26.4 Strategic Outlook
11.26.5 SWOT Analysis
Digital Lending Platform Market Size
Digital Lending Platform Market size surpassed USD 8.5 billion in 2022 and is anticipated to register 20.5% CAGR from 2023 to 2032. The drastic inclination towards digitization of banking services worldwide will complement the industry growth.
The integration of digital technologies has enabled safer and faster digital lending solutions. These digital solutions help with loan disbursement, customer acquisition and a wide range of other applications. Rapid penetration of smart technologies and increasing use of the internet in developing countries will proliferate the digital lending platform market demand.
High dependence on traditional lending methods may impede the adoption of digital lending platforms. Lack of awareness and understanding of digital lending solutions in developing regions is a big challenge for lenders. Several under-developed economies are devoid of a robust infrastructure that can support the large-scale requirement of digital financial services.
Digital Lending Platform Market Analysis
Digital lending platform market revenue from Loan Origination System (LOS) segment is projected attain 15% gains through 2032. LOS offers a suite of benefits to organizations, allowing them to reduce overall expenses, seamlessly onboard customers, ensure regulatory compliance, and competitively underwrite loans. Technological advancements should enable the automation of different stages of LOS including loan application, processing, underwriting, disbursal, and servicing.
The risk assessment service type is slated to observe 24% growth during 2023 to 2032. This services allows digital lending platforms to make actionable decisions regarding risk control with the help of efficient risk evaluation. Owing to burgeoning concerns associated with financial crimes and cybersecurity threats, several banks and NBFCs are leveraging digital touchpoints for strengthening crime risk management frameworks.
Personal loan sector accounted for more than 50% of the digital lending platform market share in 2022. Increasing demand for instant loan approval and disbursal for widespread social needs are complementing industry outlook. Fintech firms are upgrading their portfolio of personal loan products with attractive lending options, flexible payment methods, and low-interest rates. For instance, in October 2022, the Indian public sector bank, Bank of Baroda announced that customers can now apply for personal loans online through its digital lending platform.
Digital lending platform market from Banks and NBFCs sector will witness 19.5% growth rate through 2032. The advent of digital banking is driven by changing customer preferences and improving technical capabilities. Digital payments and banking services have eliminated the challenges associated with traditional banking methods. As it is 100% online, customers get control over financial activities remotely.
Europe digital lending platform market size is poised to expand at over 22% CAGR through 2032. Over the last few years, European countries have perceived a surge in the acceptance of digital lending platforms, offering lucrative business opportunities for leading participants. Several private and public organizations are investing in digital lending platforms to leverage the ongoing popularity of digital banking.
Digital Lending Platform Market Share
Some of the leading companies in the digital lending platform industry are:
These competitors are mainly focusing on launching new products that cater to banks and financial institutions. For example, in November 2022, RazorpayX unveiled RazorPayX Digital Lending 2.0, a comprehensive digital solution for fintech firms, to adhere to the latest guidelines on digital lending.
COVID-19 Impact
The COVID-19 pandemic positively influenced digital lending platform market dynamics. The pandemic spurred the digitization of banking services and resulted in a dramatic rise in the usage of digital payment solutions. It also upgraded the obsolete banking models to offer improved bank and credit union digital lending platforms for faster and more convenient money lending. The advent of cashless transactions and digital banking encouraged many financial firms to spur the availability of mobile loan application options.
This market research report on digital lending platform includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2018 to 2032 for the following segments:
Market, By Component
Market, By Deployment
Market, By Business Model
Market, By Product
Market, By Product
The above information has been provided for the following regions and countries: