Research Methodology – Shopping Application 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 Shopping Application Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Shopping Application Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Number of active users on shopping applications
- Annual revenue turnover of shopping applications
- Rate of user acquisition and retention
- The volume and value of transactions
- Market competitiveness, including the entry of new players and exit of existing ones
- The geographic coverage and regions served
- Market dynamics such as demand and supply trends
- Technological advancements and mobile penetration rates in target markets
- The spending capacity and consumer behavior of the target audience
Key Market Indicators
- Trends in gross merchandise value (GMV)
- Overall e-commerce market growth
- Mobile internet penetration rate
- Percentage of digital buyers and their demographic profiles
- Changes in consumer spending patterns
- Rising trends in mobile commerce (m-commerce)
- Shifts in retail industry dynamics such as online versus offline shopping
Growth Trends
- Emergence and growth of omni-channel retailing
- The rapid expansion of the e-commerce and m-commerce sectors
- Increased adoption of mobile payment systems
- Integration of advanced technologies such as AI, AR/VR in shopping applications
- Growing preference for online shopping due to convenience and COVID-19 pandemic
- Rise in personalized and predictive shopping experiences
- Increased focus on customer service and user experience in shopping 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 Shopping Application 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 Shopping Application 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