Research Methodology – Artificial Intelligence As A Service 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 Artificial Intelligence As A Service Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Artificial Intelligence As A Service Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- Type of Services: AI hardware, software and services
- Industry verticals using AI: Healthcare, IT & Telecom, BFSI, Retail, Manufacturing, etc.
- Geographical analysis: Market penetration and usage in different regions
- Size of the organizations using AI services: SMEs and Large enterprises
- Market trends and dynamics: Technological advancements, consumer behavior, regulation policies, etc.
- Investment in AI technology: Venture capital, private equity, M&A, etc.
- Key players in the market: Market share of key players
2 Key Market Indicators
- Market growth rate: CAGR, Y-o-Y growth, etc.
- Revenue generated by the AI market
- AI Investments and funding trends
- Market Concentration Rate
- Number of AI startups and their market share
- Number of patents in AI
- Technological advancements and innovative products in AI
3 Growth Trends
- Increasing adoption of cloud-based solutions
- Rise in demand for AI-powered services and products
- Increasing acceptance of AI in developing countries
- Growth of AI in Healthcare, Retail and Manufacturing sectors
- Growth in investments for AI startups
- Innovations and developments in AI technology
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 Artificial Intelligence As A Service 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 Artificial Intelligence As A Service 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