Research Methodology – Bike 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 Bike Sharing Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Bike Sharing Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Demand for bikes for sharing in different regions.
- Population density and urbanization level of the areas.
- Number of bike-sharing service providers in the market.
- Cost of bike-sharing services.
- Availability of alternative modes of transportation.
- Government regulations and initiatives promoting bike sharing.
- Infrastructure available for bike sharing like docking stations, designated bike paths, etc.
- Tech-savviness and willingness of consumers to use bike sharing apps.
- Environmental consciousness and preference for eco-friendly transportation among consumers.
Key Market Indicators
- Market size and growth rate of the bike-sharing industry.
- The number of bike-sharing trips made per day/month/year.
- Average distance traveled per trip or per user.
- Number of registered users for bike-sharing apps.
- User penetration and growth rate in different regions.
- Revenue generated from different bike-sharing services (e.g., docked bikes, dockless bikes, e-bikes, etc.).
- Nature of market segments (i.e., leisure, commute, last-mile, long-distance, etc.).
Growth Trends
- Increasing adoption of bike-sharing services due to their environmental benefits.
- Growing popularity of bike-sharing for short trips and last-mile connectivity.
- Development of bike-sharing apps with advanced features like real-time availability of bikes, GPS tracking, easy payment options, etc.
- Integration of bike-sharing services with other public transport options for seamless multi-modal transportation.
- Investment in and development of infrastructure to support bike sharing, like separate bike lanes, docking stations, etc.
- Expansion of bike-sharing services in smaller cities and towns, beyond big urban centers.
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 Bike 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 Bike 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:
- 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