Ride Sharing Market Size, Share & Growth Report by 2033

Research Methodology – Ride Sharing 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 Ride Sharing Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Ride Sharing 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 ride-sharing service providers.

The geographic coverage of these services.

Average price per ride across different service offerings.

The customer base ie.total number of active riders.

The frequency of usage by these active riders.

Revenue generated by each service provider.

Competitive landscape i.e. comparison of market share among different service providers.

The market penetration rate which can be calculated from the share of the population using ride-sharing services.

2 Key market Indicators

YoY growth rate of the ride-sharing market.

The average spending per user on ride-sharing services.

The number of new riders every year.

Churn rate - number of riders discontinuing the service.

Rate of growth of new geographic markets.

Competition level in the market.

Customer satisfaction levels and reviews.

Regulatory impact on the ride-sharing industry.

3 Growth trends

Increasing urbanization leading to rising use of ride-sharing services.

Growing popularity of ride-sharing over traditional means of transport.

Increasing smartphone penetration and mobile app adoption promoting the growth of ride-sharing services.

Rising environmental concerns influencing individuals to opt for ride-sharing services.

The trend of corporate tie-ups which are providing a regular customer base for ride-sharing services.

Development of self-driving/autonomous vehicles in ride-sharing services.

Increase in strategic partnerships and funding to expand operations into new markets/scale up operations.

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 Ride Sharing 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 Ride Sharing 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: