Research Methodology – Generative AI 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 Generative AI Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Generative AI Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Demand and supply of Generative AI services and tools in various regions
- Rate of adoption of Generative AI in different industries
- Revenue generated by Generative AI product sales and services
- Investments and Fundings in Generative AI startups
- Current and potential competition in the market
- Technological advancements in the field of Generative AI
- Government rules and regulations relevant to AI utilization
- Covid-19 effect on market dynamics
Key Market Indicators
- Number of Generative AI companies and their market share
- Consumer adoption rates and market penetration of Generative AI
- Industry-wide expenditure on Generative AI technology
- Growth of relevant sectors that utilize Generative AI
- Trends in venture capital investment in Generative AI
- Policy and regulatory environment for AI
Growth Trends
- Increased usage and adoption of Generative AI in various industries
- Advancement in machine learning and neural network technologies driving the growth of Generative AI
- Growth in AI as a Service (AIaaS) models
- The emergence of AI in developing countries
- Increasing integration of AI in the Internet of Things (IoT)
- Iterative advancements in data collection and data analysis methods
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 Generative AI 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 Generative AI 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