India's Digital Lending Platform Market is estimated to be USD 923.01 Mn in 2023 and is expected to reach USD 3159.19 Mn by 2028, growing at a CAGR of 27.90%.As of September 2022, India's Unified Payments Interface (UPI) has seen participation of 358 banks and has recorded ~6.8 Bn transactions worth over USD 135 Bn
Market Dynamics
Market dynamics are forces that impact the prices and behaviors of the stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.
Market Segmentations
India’s Digital Lending Platform Market is segmented based on Components, Deployment, and End-Users.- By Components, the market is classified into Solutions and Services.
- By Deployment, the market is classified into Cloud and On-premises.
- By End-Users, the market is classified into Banks, Insurance Companies, Credit Unions, Savings & Loan Associations, Peer-to-Peer Lending, and Others.
Company Profiles
The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Newgen Software Technologies Ltd., Nucleus Software Exports Ltd., Pegasystems Inc., Rupeepower, Sigma Infosolutions Ltd., etc.Competitive Quadrant
The report includes a Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.Ansoff Analysis
The report presents a detailed Ansoff matrix analysis for the India’s Digital Lending Platform Market . Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.The analyst analyses the India’s Digital Lending Platform Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
Based on the SWOT analysis conducted on the industry and industry players, the analyst has devised suitable strategies for market growth.
Why buy this report?
- The report offers a comprehensive evaluation of the India’s Digital Lending Platform Market . The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
- The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
- The report includes an in-depth market analysis using Porter's 5 forces model, PESTLE Analysis, and the Ansoff Matrix. In addition, the impact of COVID-19 and the impact of economic slowdown & impending recession on the market are also featured in the report.
- The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
- The report also contains the competitive analysis using Positioning Quadrants, the analyst's competitive positioning tool.
Report Highlights:
- A complete analysis of the market, including parent industry
- Important market dynamics and trends
- Market segmentation
- Historical, current, and projected size of the market based on value and volume
- Market shares and strategies of key players
- Recommendations to companies for strengthening their foothold in the market
Table of Contents
1 Report Description1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Increasing Demand for Automation in the Money Lending Process
4.1.2 Rise in Government Initiatives toward Adoption of Digital Lending Platform
4.1.3 Surge in Multichannel Collection Service
4.1.4 Rising Need to Reduce Bad Debt and Maintaining an Accurate Borrower Profile
4.2 Restraints
4.2.1 Higher Dependence on Traditional Lending Methods
4.2.2 High Cost of Maintenance and Investment
4.3 Opportunities
4.3.1 Integration of Specialized Applications of AI/ML
4.3.2 Growing Demand for Commercial and Consumer Debt Recovery Services
4.3.3 Rise in the Use of Analytics-Enabled Collections Models
4.4 Challenges
4.4.1 Lack of Digital Literacy
4.4.2 Data Security and Privacy Concerns due to Increasing Cyber-Attacks
4.4.3 Lack of Real-Time Collaboration Between the Borrower and Collector
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 PESTLE Analysis
5.4 SWOT Analysis
5.5 Impact of COVID-19
5.6 Impact of Economic Slowdown & Impending Recession
5.7 Ansoff Matrix Analysis
6 India’s Digital Lending Platform Market , By Components
6.1 Introduction
6.2 Solutions
6.2.1 Business Process Management
6.2.2 Lending Analytics
6.2.3 Loan Management
6.2.4 Loan Origination
6.2.5 Risk & Compliance Management
6.2.6 Others
6.3 Services
6.3.1 Design & Implementation
6.3.2 Training & Education
6.3.3 Risk Assessment
6.3.4 Consulting
6.3.5 Support & Maintenance
7 India’s Digital Lending Platform Market , By Deployment
7.1 Introduction
7.2 Cloud
7.3 On-premises
8 India’s Digital Lending Platform Market , By End-Users
8.1 Introduction
8.2 Banks
8.3 Insurance Companies
8.4 Credit Unions
8.5 Savings & Loan Associations
8.6 Peer-to-Peer Lending
8.7 Others
9 Competitive Landscape
9.1 Competitive Quadrant
9.2 Market Share Analysis
9.3 Strategic Initiatives
9.3.1 M&A and Investments
9.3.2 Partnerships and Collaborations
9.3.3 Product Developments and Improvements
10 Company Profiles
10.1 Decimal Technologies
10.2 Fidelity National Information Services, Inc.
10.3 Fiserv, Inc.
10.4 ICE Mortgage Technology, Inc.
10.5 Intellect Design Arena Ltd.
10.6 Misys International Ltd.
10.7 Newgen Software Technologies Ltd.
10.8 Nucleus Software Exports Ltd.
10.9 Pegasystems Inc.
10.10 Rupeepower
10.11 Sigma Infosolutions Ltd.
10.12 Tavant Technologies
10.13 The Social Loan Co. (TSLC)
10.14 Wipro Ltd.
11 Appendix
11.1 Questionnaire
Companies Mentioned
- Decimal Technologies
- Fidelity National Information Services, Inc.
- Fiserv, Inc.
- ICE Mortgage Technology, Inc.
- Intellect Design Arena Ltd.
- Misys International Ltd.
- Newgen Software Technologies Ltd.
- Nucleus Software Exports Ltd.
- Pegasystems Inc.
- Rupeepower
- Sigma Infosolutions Ltd.
- Tavant Technologies
- The Social Loan Co. (TSLC)
- Wipro Ltd.
