Research Methodology – Peer-to-Peer Lending Market
At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Peer-to-Peer Lending Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Peer-to-Peer Lending Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- The overall number of platform users and registered borrowers and lenders
- Total number of loans established and the average loan size
- Regional market penetration
- Regulatory environment and its impact on the industry growth in specific regions
- Market presence and competitive landscape (Key Players and their market share)
- Growth of online and digital platforms
- Performance of specific loan types (commercial, personal, educational, etc.)
- The total value of Peer-to-Peer (P2P) transactions
Key Market Indicators
- Year-on-year growth rate of the market
- Compound Annual Growth Rate (CAGR)
- Default rates on P2P loans
- Type and amount of loans (unsecured vs secured, small vs large)
- Percentage of repeat lenders and borrowers
- Nature of borrowers (individuals vs businesses)
- Regulatory changes and their impact on the borrowed amount, market size, and market share
- The volume of cross-border transactions
Growth Trends
- Increasing adoption of digital platforms and smartphones, enabling easy access to P2P lending
- Greater acceptance and usage by both borrowers and investors due to simple process and high returns
- Growth of fintech companies and startups in the P2P lending space
- Shift from traditional banking, especially among younger borrowers
- Rising awareness and understanding of P2P lending models
- Increasingly supportive regulatory environments in many regions
- Increase in cross-border P2P transactions, facilitated by digital platforms
Secondary Research
Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Peer-to-Peer Lending Market. Key inputs include:
Company-Level Information
- Annual reports, investor presentations, SEC filings
- Company press releases and product launch announcements
- Public executive interviews and earnings calls
- Strategy briefings and M&A updates
Industry and Government Sources
- Country-level industry associations and trade bodies
- Government dossiers, policy frameworks, and official releases
- Whitepapers, working papers, and public R&D initiatives
- Relevant Associations for the Peer-to-Peer Lending Market
Market Intelligence Sources
- Broker reports and financial analyst coverage
- Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
- Import/export trade data and tariff databases
- Sector-specific journals, magazines, and news portals
Macro & Consumer Insights
- Global macroeconomic indicators and their cascading effect on the industry
- Demand–supply outlook and value chain analysis
- Consumer behaviour, adoption rates, and commercialization trends
Primary Research
To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:
Expert Insights & KOL Engagements
- Key Opinion Leader (KOL) Engagements
- Structured interviews with executives, product managers, and domain experts
- Paid and barter-based interviews across manufacturers, distributors, and end-users
Focused Discussions & Panels
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
Data Validation & Business POV
- Cross-verification of market sizing and forecasts with industry insiders
- Capturing business perspectives on growth opportunities and restraints
Data Triangulation & Forecasting
The final step of our research involves data triangulation ensuring accuracy through cross-verification of:
- Demand-side analysis (consumption patterns, adoption trends, customer spending)
- Supply-side analysis (production, capacity, distribution, and market availability)
- Macroeconomic & microeconomic impact factors
Forecasting is carried out using proprietary models that combine:
- Time-series analysis
- Regression and correlation studies
- Baseline modeling
- Expert validation at each stage
Outcome
The outcome is a comprehensive and validated market model that captures:
- Market sizing (historical, current, forecast)
- Growth drivers and restraints
- Opportunity mapping and investment hotspots
- Competitive positioning and strategic insights