Research Methodology – Debt Settlement 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 Debt Settlement Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Debt Settlement Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Total number of consumers in the market with outstanding credit
- Number of financial institutions providing debt settlement services
- Average total debt per consumer
- Default rates on debt repayments
- Regulatory environment influencing debt settlement (local and international)
- Gross domestic product (GDP) and inflation rates
- Trends in consumer credit, such as number of new credit lines opened
- Cost range of debt settlement services
Key Market Indicators
- Total debt value in the economy
- Default rate on credit repayments, categorized by type of credit (e.g., mortgage, credit card, auto loan, student loan)
- Changes in average household debt levels
- Debt settlement success rates
- Rates of bankruptcy filings
- Credit health index
- Interest rates, particularly those applicable to consumer credit
- Economic indicators such as unemployment rates, GDP, and inflation
Growth Trends
- Increasing consumer debt levels
- Growth of online debt settlement platforms and technologies
- Upsurge in use of credit resulting from changing consumer behaviors or economic conditions
- Changes in legislation that affect debt settlement (e.g., rules about collection practices, credit reporting, bankruptcy)
- Increased interest in debt consolidation services
- Impact of economic downturns and financial crises on debt levels and default rates
- Trends in consumer sentiment and behavior related to debt and debt settlement
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 Debt Settlement 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 Debt Settlement 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