Research Methodology – Autonomous Ships 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 Ships Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Autonomous Ships Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- The existing number of manufacturers and providers of autonomous ships.
- Current and future applications of autonomous ships in different sectors.
- The total sales of autonomous ships in the current market.
- Projected demand for autonomous ships.
- Inflation rate and exchange rates that could affect the Autonomous Ships Market.
- Investment in research and development for autonomous ships by different companies and governments.
2 Key Market Indicators
- The current and projected global economic growth.
- Changes in the regulatory environment in major markets for autonomous ships.
- Technological advancements in the field of autonomous navigation and shipping.
- Growth in sectors that use autonomous ships such as cargo shipping, defense, and research.
- Global maritime trade movements.
- Globalisation Index.
3 Growth Trends
- The increasing adoption of Artificial Intelligence (AI) and Internet of Things (IoT) in navigation systems.
- Upcoming stringent laws and regulations promoting the use of autonomous vessels.
- Growth in the demand for cargo transportation through marine routes.
- Rising investments in enhancing the autonomous ship's ability for obstacle detection and collision avoidance.
- Rise in the popularity of electric and solar powered autonomous ships.
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 Ships 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 Autonomous Ships 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