The report includes:
- Impact analysis of artificial intelligence (AI) on the pathology services market
- Case studies for successful integration of AI and machine learning in clinical pathology and anatomical pathology
- Highlights of AI adoption trends across major geographical regions, as well as disruptions caused by AI across hospital-based laboratories, independent and reference laboratories and physician office laboratories
- Review of AI impact on the various stages of the pathology services value chain and supply chain analysis
- Competitive landscape featuring key strategic initiatives, market spendings and an investment outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in Pathology Services Global Market- Overview
- Key Use Cases/Case Studies
- Case Study 1: AI for Detecting Lymph Node Metastases in Bladder Cancer Using Whole Slide Imaging
- Case Study 2: AI-Assisted Quantification of Breast Cancer Biomarkers in Digital Pathology
- Case Study 3: AI-Enabled Molecular Triage for Rapid Detection of Endemic Fungal Infections
- Overview
- AI Adoption Trends in the Pathology Services Market
- AI Trends by Region
- Adoption Trends in North America
- Adoption Trends in Europe
- Adoption Trends in Asia-Pacific
- Adoption Trends in the Rest of the World
- Overview
- AI Disruption Trends in the Pathology Services Market
- Impact of AI on Key Industry Verticals
- Impact of AI on Various Stages of the Value Chain
- Overview
- Market Spending and Investment Scenario
- Key Drivers of Spending in AI for Pathology Services
- Venture Capital Investment in AI for Pathology Services Market
- Abbreviations Used in the Report
Table 1: U.S. Digital Health Funding and Deal Size, 2014-2025
Table 2: Key Investments in AI in Pathology Services by Major Companies
Table 3: Abbreviations Used in This Report
List of Figures
Figure 1: Value Chain for Global Pathology Services Market

