Digital Pathology Market Size, Demand, Global Trends, Forecast to 2033

Research Methodology – Digital Pathology 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 Digital Pathology Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Digital Pathology Market is developed by integrating key market indicators and macroeconomic variables. These include:

Factors considered while calculating market size and share:

Number of end-users including hospitals, diagnostic labs, and research institutes.
Revenue generated from the sales of digital pathology systems, scanners, software, and other related products/solutions.
Total addressable market (TAM), serviceable available market (SAM), and serviceable obtainable market (SOM) considering geographical reach.
The number of products being sold in the market.
The pricing details of each product by different manufacturers.
Mergers, acquisitions, partnerships, and collaborations in the market.
Investment in research and development activities.

Key Market Indicators:

Trends in healthcare expenditure globally and per capita.
Demand for digital pathology services in developed and developing countries.
Increasing prevalence of chronic diseases and the role of pathology in disease diagnosis.
Growth in popularity and adoption of Artificial Intelligence (AI) and Machine Learning (ML) in pathology.
Technological innovations and advancements in digital pathology solutions.
Growth of telemedicine and telepathology, especially due to the COVID-19 pandemic.

Growth Trends:

Increasing adoption of digital pathology systems due to its advantages over conventional pathology.
Growing trend of laboratory automation and digital imaging.
Increasing use of digital pathology in drug discovery and companion diagnostics.
Rise in Telepathology services due to the increase in the remote pathology consultation needs.
The advent of AI and ML in digital pathology for interpretation and analysis of complex clinical data.
Market growth fueled by partnerships between digital pathology solution providers and hospitals/labs for better patient management.

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 Digital Pathology 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 Digital Pathology 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: