Research Methodology – Financial App 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 Financial App Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Financial App Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share:
- User demographic data: Age, Income, Geography etc.
- Total number of app downloads
- Total number of active users
- User engagement metrics: How frequently and for how long people use the app
- Monetisation strategies: Advertising, in-app purchases etc.
- Revenue past performance and projections
- Growth trends in the financial sector
- Competitor analysis: Market share, user base, app performance etc.
- Economic conditions and its impact on the finance sector
Key Market Indicators:
- Number of active users
- Total revenue generated
- App store rankings
- User acquisition and retention rates
- Average revenue per user (ARPU)
- Financial literacy rate
- Churn rate: The percentage of users who stop using the app
- Market concentration rate: How much of the market is dominated by the top companies
Growth Trends:
- The rise in digital banking and mobile transactions
- Increasing adoption of financial apps among millennials
- Growth in the use of analytics for personalised financial advice
- Increasing use of AI and Machine Learning in financial apps for functions like fraud detection, risk estimation etc.
- Adoption of financial apps by small and medium businesses for managing finance
- Integration of financial apps with IoT devices
- Regulatory changes incentivising or restricting financial apps
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 Financial App 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 Financial App 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