Digital Lending Platform Market Size By Component (Solution [Loan Origination System (LOS), Loan Management System, Risk & Compliance Management System, Point of Sale (PoS) Systems, Lending Analytics, Collection & Recovery System], Service [Support & Maintenance, Design & Implementation, Training & Education, Risk Assessment, Consulting]), By Deployment Model (On-Premise, Cloud), By Business Model (Customer Driven, Staff Driven), By Product (Personal Loan, Automotive Loan, SME Finance Loan, Mortgage Loan), By Application (Banks & NBFCs, Credit Unions, Fintech Companies, P2P lenders), COVID-19 Impact Analysis, Growth Potential, Regional Outlook, Competitive Market Share & Forecast, 2023 - 2032
The digital lending platform market is anticipated to record sizeable growth over 2032. Digital lending and digital mortgage have emerged as prominent concepts in the field of online banking. Over the past few years, the financial sector has undergone rapid digitization with the emergence of novel banking needs.
Digital mortgage is rapidly replacing traditional loan processing systems as it provides a holistic experience to lenders as well as borrowers. Lenders are increasingly implementing modern digital mortgage strategies across targeted marketing, auditing, loan closing, and lead generation activities. Owing to the ease and level of sophistication, a combination of hyper-automated tools, big data analytics, and real-time digital mortgage applications are gaining demand among businesses.
In November 2022, Navi Technologies, an Indian financial service provider, unveiled its cloud-based real-time co-lending platform, called Navi Lending Cloud (NLC). The platform aims to support direct assignment collaboration and digital management co-lending with banks and NBFCs.
The digital lending platform market is classified into component, solutions, service, deployment, business model, product, application, and region.
Based on solution, Point of Sale (POS) systems held more than a 10% share of the digital lending platform industry in 2022. POS systems enable lenders to source and validate documents and e-signatures of credit customers and facilitate conditional decisions instantly. Advancements in mortgage POS systems allow lenders to process loans more efficiently and manage large volumes of data regarding lending rates, borrower behavior, and risks.
In terms of service, the digital lending platform market share from design & implementation is anticipated to record over 21.5% CAGR from 2023-2032. Design and implementation service providers are expected to address the growing need for robust and validated digital asset management processes. Technological advancements and rapid integration of artificial intelligence (AI) will enable the automation of services pertaining to the design & implementation of digital lending platforms.
By deployment, the market landscape is fragmented into cloud and on-premise deployment. The cloud segment is projected to exhibit over 20% CAGR through 2032. Due to low maintenance features and cost-effectiveness, cloud-based digital lending is picking up pace. Increasing demand for fast processing, documentation storage, and reduced cost and time consumption associated with loan processing will proliferate cloud-based digital lending platforms.
With regards to the business model, the industry is segregated into staff-driven, and customer driven. The staff-driven segment is expected to witness promising growth between 2023-2032. Digital lending platforms cater to staff needs including loan disbursement, customer acquisition, and repayment. Growing end-user requirements to reduce the risk of fraud, and improve loan processing efficiencies will accelerate the segment growth.
Based on product, mortgage loan accounted for more than 15% share of the digital lending platform in 2022. Large mortgage banks are increasingly implementing digital strategies and technologies to boost the traction of credit seekers for mortgage loan. Digital mortgage solutions reduce costs per loan, allowing considerable savings. The influx of smart technologies will advance the capabilities of mortgage lifecycles on digital lending platforms.
From a regional perspective, North America digital lending platform market share was more than 38% in 2022. Rapid digitization of banking services in the region has resulted in the acquisition of open-banking platforms. A large number of fintech giants in the U.S. and Canada are ramping up efforts to digitize lending processes and safeguard financial services. For instance, in September 2022, J.P. Morgan announced plans to acquire Renovite Technologies, Inc., a cloud-native payments technology firm to modernize payment infrastructure.
- 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 360 degree 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
Research Assistance
Download our eBook: How to Succeed Using Market Research
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook