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AI in Pathology Market Size & Outlook, 2026-2034

AI in Pathology Market Size, Share & Trends Analysis Report By Offering (Hardware, Software, Services), By Technology (Machine Learning, Computer Vision-based Image Analysis, Natural Language Processing), By Application (Drug Discovery, Disease Diagnosis & Prognosis, Training & Education), By End Use (Pharmaceutical & Biotechnology Companies, Hospital & Reference Laboratories, Academic & Research Institutes) and By Region (North America, Europe, APAC, Middle East and Africa, LATAM) Forecasts, 2026-2034

Report Code: SRHI58093DR
Last Updated: Feb, 2026
Pages: 150
Author: Debashree Bora
Format: PDF, Excel

Research Methodology – AI in 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 AI in Pathology Market comprises the following key stages:


Market Indicator & Macro-Factor Analysis

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

Factors considered while calculating market size and share:

  • Current market size of AI in healthcare.
  • Investments in AI technology by pathologic laboratories.
  • The number of pathology laboratories adopting AI technology.
  • Growth rate of the AI in pathology sector.
  • Current trends and future predictions of AI usage in pathology.
  • Revenue generated by AI-based tools in pathology.
  • Government Policies and regulations specifically related to AI in pathology.

Key Market Indicators:

  • Market share of leading companies providing AI tools for pathology.
  • Number of AI-based pathology patents filed.
  • The rate of adoption of AI in pathology by hospitals and labs.
  • Revenue growth rate of companies offering AI solutions in pathology.
  • Investments into AI for pathology by venture capital firms.
  • Innovation and technological advancements in AI for pathology.

Growth Trends:

  • Increased use of AI for Cancer diagnosis and research.
  • Rise in integration of machine learning technologies in pathology.
  • Growth of deep learning models for predictive diagnostics in pathology.
  • Increasing partnerships between AI companies and pathology laboratories.
  • Growing investment in AI and digital pathology by healthcare technology companies.
  • Increasing application of AI in genomics based pathology.

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 AI in 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 AI in 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:
  • 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

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