Artificial Intelligence in Diagnostics Market Size, Global Trends

Research Methodology – Artificial Intelligence in Diagnostics 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 in Diagnostics Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

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

1 Factors considered while calculating market size and share

Current market demand for AI in diagnostics.
Market penetration of AI in different regions.
Investments and funding in AI-based diagnostic solutions.
Number of companies offering AI diagnostic solutions.
Growth rate of telemedicine/telehealth industry.
Economic conditions, healthcare expenditure, and the size of the healthcare market in different regions.
Technological advancements, especially in healthcare-related AI technologies.
Government regulations related to AI in healthcare.
Product pricing and affordability of AI-based diagnostic solutions.
The rate of adoption of AI in different healthcare sectors.

2 Key Market Indicators

Market value size and growth rate of the AI in diagnostics market.
Number of partnerships and collaborations between AI companies and healthcare providers.
Market share of major players in the AI in diagnostics market.
The rate of expansion of the AI in diagnostics market in various geographical locations.
Number of patents and innovations in the field of AI and diagnostics.
Revenue generated from the sale of AI-based diagnostic products.
Trends in consumer acceptance and perception towards AI in diagnostics.

3 Growth Trends

Increased acceptance and adoption of AI technologies in healthcare.
Increased investments in AI and machine learning start-ups.
Improvement in regulatory framework promoting the use of AI in diagnostics.
Growth in partnerships between diagnostic manufacturers and tech companies.
Increase in the application of AI for disease prevention and health monitoring.
Growth of personalized medicine with AI technologies.
Advancement in technology leading to innovative AI-based diagnostic solutions.

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 in Diagnostics 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 in Diagnostics 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: