Research Methodology – Third-Party Banking Software 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 Third-Party Banking Software Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Third-Party Banking Software Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Number of new installations of third-party banking software
- Revenue generated from the sales of third-party banking software
- Geographic distribution of the third-party banking software installations
- Customer base, which includes banking institutions, financial institutions, and other related entities
- Competition landscape including their pricing strategy, product features, and market presence
- Growth rate and business strategies of leading vendors
- Government regulations impacting the market
- Technological advancements in the sector
Key Market Indicators
- Year-on-year growth rate of the third-party banking software market
- Market concentration rate of third-party banking software vendors
- Changes in the market share of the leading vendors
- Market trends and technological advancements in third-party banking software
- New entrants in the market and their impact on market competition
- Market attractiveness in different geographies
- Adoption rate of third-party banking software among different types of banking institutions
Growth Trends
- Increasing demand for efficient and secure banking operations
- Growth in digital banking and online transactions
- Demand for innovative solutions in the banking industry to improve customer experience
- Increasing preference for open banking APIs enabling third-party developers to build applications and services
- Technological advancements like artificial intelligence and machine learning in banking sector
- Increasing regulations and standards for banking operations promoting use of third-party software
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 Third-Party Banking Software 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 Third-Party Banking Software 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