Research Methodology – Autonomous (Driverless) Car 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 Autonomous (Driverless) Car Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Autonomous (Driverless) Car Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Current market share and performance of major players in the industry
- Existing market opportunities for new entrants
- Technology adoption rates and trends
- Regulations in place affecting the development and deployment of autonomous cars
- Government policies and incentives for autonomous vehicle expansion
- Consumer attitudes and acceptance towards autonomous cars
- Investment in research and development by companies
- Level of competition in the market
Key Market Indicators
- Number of autonomous cars sold in a certain period
- Automotive industry trends and forecasts
- Infrastructure development for autonomous vehicles
- Trends in technologies like artificial intelligence (AI), Internet of Things (IoT), and machine learning (ML)
- Safety and testing standards for autonomous cars
- Advancements in the field of automotive sensors
- Policies regarding autonomous vehicle insurance
Growth Trends
- Increased investments in autonomous vehicle technologies by automakers
- Rising consumer acceptance of autonomous cars
- Greater implementation of AI, IoT, and ML in automotive industry
- Development of advanced automotive sensors
- Increasing popularity of ride-sharing services
- Increasing influence of environmental regulations on automotive industry
- Shift of automotive industry focus towards smart cities and IoT
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 Autonomous (Driverless) Car Market. Key inputs include:
- 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
- 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 Autonomous (Driverless) Car Market
- 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
- 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:
- 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
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
- 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
- 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
Available for purchase with detailed segment data, forecasts, and regional insights.
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