Healthcare Artificial Intelligence (AI) Market Size, Share & Trends

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

Market Indicator & Macro-Factor Analysis

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

1 Factors considered while calculating market size and share

Current and historical market size of the industry on regional, national, and global levels.
Revenue generated by key players in the healthcare AI market.
Investment in research and development in the field of artificial intelligence in healthcare.
The growth rate of the healthcare industry and its spending on artificial intelligence.
Growth in the number of healthcare facilities adopting AI technologies.
The range of applications of AI in healthcare.
Market trends, strategies, and growth patterns of key players.

2 Key Market Indicators

Rate of adoption of AI among healthcare providers.
The spending of healthcare organizations on AI technologies.
Number of AI-based startups in the healthcare industry.
Growth and investment of market share in AI by the health tech industry.
Projected growth rate of the healthcare AI market.
Global healthcare expenditure and share of AI.

3 Growth Trends

Increasing demand for AI tools in the diagnosis and treatment process.
Increasing application of AI in personalized medicine and patient care.
Growth in the use of AI for data management in healthcare.
Increased partnerships between healthcare providers and AI technology companies.
Innovation and advancements in AI-based healthcare technologies.
Increase in government initiatives towards the application of AI in healthcare.

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 Healthcare 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 Healthcare 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: