Artificial Intelligence (AI) Market Size, Share & Trends Report 2033

Research Methodology – Artificial Intelligence (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 Artificial Intelligence (AI) Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Artificial Intelligence (AI) Market is developed by integrating key market indicators and macroeconomic variables. These include:

Factors considered while calculating market size and share:

The size of the existing AI market and prediction for growth
Total revenue generated by all companies in the AI industry
The extent of AI adoption across different industries
The global economic impact of AI
Number of AI startups and their market capitalization
Growth of funding and investment in the AI sector
Market potential and barriers for entry
Geographical penetration of AI
Impact of regulations and policies on market growth
The cost of AI hardware, software and services

Key Market Indicators:

Total global spending on AI systems
Growth rate of AI market
Number of AI specialists and professionals
The degree of AI integration in different sectors
Market share of leading AI companies
Patent trends in AI
Technological innovation in the AI market
Investment trends in AI startups
Consumer attitudes and adoption towards AI

Growth Trends:

Increasing adoption of AI in industries such as healthcare, automotive, and finance
Growth of AI in emerging markets
The increasing importance of AI in data analysis and decision making
Development of AI technologies like machine learning, deep learning, and neural networks
Growth of AI in the Internet of Things (IoT) and blockchain technologies
The rise of AI-powered chatbots and virtual assistants
Growth in AI research and development
Increasing demand for AI hardware like AI-powered chips
Increasing use of AI in creating personalized consumer experiences

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 (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 Artificial Intelligence (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: