M-Commerce Market Size, Share and Forecast to 2033

Research Methodology – M-Commerce 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 M-Commerce Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the M-Commerce Market is developed by integrating key market indicators and macroeconomic variables. These include:

1 Factors considered while calculating market size and share:

Total number of m-commerce users globally and regionally
Number of new users entering the market annually
Average transaction value per user
Annual and quarterly revenue of key players in the m-commerce market
Market penetration rates
Market growth rates in different regions
Type of m-commerce platforms used such as apps, websites, etc

2 Key Market Indicators:

Total Transaction Value in the m-commerce market
Average Revenue per User (ARPU)
Number of transactions (frequency) per user
Social media penetration and its impact on m-commerce
Number of active users on various m-commerce platforms
User penetration rate in the m-commerce market
Market trend towards mobile versus desktop

3 Growth Trends:

Increase in smartphone and internet penetration driving M-Commerce growth
Growth of online shopping and digital payments enhancing M-Commerce
Rise of social media commerce or sCommerce
Adoption of new technologies such as AR, VR in M-Commerce
Shift towards mobile apps from websites for online shopping
Growth of contactless payments and wallets enhancing M-Commerce
Increased focus on improved UX and customization

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 M-Commerce 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 M-Commerce 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: