AI-Enabled Digital Pathology Software Market Size, Share, and Trends 2026 to 2035

AI-Enabled Digital Pathology Software Market (By Function: Image Analysis, Predictive Analytics, Workflow Management; By Application: Disease Diagnosis, Drug Discovery & Development; By Technology: Deep Learning/CNNs, Generative AI (GANs)) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 11 Feb 2026  |  Report Code : 7651  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI-Enabled Digital Pathology Software Market 

5.1. COVID-19 Landscape: AI-Enabled Digital Pathology Software Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI-Enabled Digital Pathology Software Market, By Function

8.1. AI-Enabled Digital Pathology Software Market, by Function

8.1.1 Image Analysis

8.1.1.1. Market Revenue and Forecast

8.1.2. Predictive Analytics

8.1.2.1. Market Revenue and Forecast

8.1.3. Workflow Management

8.1.3.1. Market Revenue and Forecast

Chapter 9. Global AI-Enabled Digital Pathology Software Market, By Application

9.1. AI-Enabled Digital Pathology Software Market, by Application

9.1.1. Disease Diagnosis

9.1.1.1. Market Revenue and Forecast

9.1.2. Drug Discovery & Development

9.1.2.1. Market Revenue and Forecast

Chapter 10. Global AI-Enabled Digital Pathology Software Market, By Technology

10.1. AI-Enabled Digital Pathology Software Market, by Technology

10.1.1. Deep Learning/CNNs

10.1.1.1. Market Revenue and Forecast

10.1.2. Generative AI (GANs)

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global AI-Enabled Digital Pathology Software Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Function

11.1.2. Market Revenue and Forecast, by Application

11.1.3. Market Revenue and Forecast, by Technology

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Function

11.1.4.2. Market Revenue and Forecast, by Application

11.1.4.3. Market Revenue and Forecast, by Technology

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Function

11.1.5.2. Market Revenue and Forecast, by Application

11.1.5.3. Market Revenue and Forecast, by Technology

11.2. Europe

11.2.1. Market Revenue and Forecast, by Function

11.2.2. Market Revenue and Forecast, by Application

11.2.3. Market Revenue and Forecast, by Technology

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Function

11.2.4.2. Market Revenue and Forecast, by Application

11.2.4.3. Market Revenue and Forecast, by Technology

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Function

11.2.5.2. Market Revenue and Forecast, by Application

11.2.5.3. Market Revenue and Forecast, by Technology

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Function

11.2.6.2. Market Revenue and Forecast, by Application

11.2.6.3. Market Revenue and Forecast, by Technology

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Function

11.2.7.2. Market Revenue and Forecast, by Application

11.2.7.3. Market Revenue and Forecast, by Technology

11.3. APAC

11.3.1. Market Revenue and Forecast, by Function

11.3.2. Market Revenue and Forecast, by Application

11.3.3. Market Revenue and Forecast, by Technology

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Function

11.3.4.2. Market Revenue and Forecast, by Application

11.3.4.3. Market Revenue and Forecast, by Technology

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Function

11.3.5.2. Market Revenue and Forecast, by Application

11.3.5.3. Market Revenue and Forecast, by Technology

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Function

11.3.6.2. Market Revenue and Forecast, by Application

11.3.6.3. Market Revenue and Forecast, by Technology

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Function

11.3.7.2. Market Revenue and Forecast, by Application

11.3.7.3. Market Revenue and Forecast, by Technology

11.4. MEA

11.4.1. Market Revenue and Forecast, by Function

11.4.2. Market Revenue and Forecast, by Application

11.4.3. Market Revenue and Forecast, by Technology

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Function

11.4.4.2. Market Revenue and Forecast, by Application

11.4.4.3. Market Revenue and Forecast, by Technology

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Function

11.4.5.2. Market Revenue and Forecast, by Application

11.4.5.3. Market Revenue and Forecast, by Technology

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Function

11.4.6.2. Market Revenue and Forecast, by Application

11.4.6.3. Market Revenue and Forecast, by Technology

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Function

11.4.7.2. Market Revenue and Forecast, by Application

11.4.7.3. Market Revenue and Forecast, by Technology

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Function

11.5.2. Market Revenue and Forecast, by Application

11.5.3. Market Revenue and Forecast, by Technology

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Function

11.5.4.2. Market Revenue and Forecast, by Application

11.5.4.3. Market Revenue and Forecast, by Technology

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Function

11.5.5.2. Market Revenue and Forecast, by Application

11.5.5.3. Market Revenue and Forecast, by Technology

Chapter 12. Company Profiles

12.1. Roche (F. Hoffmann-La Roche Ltd)

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Paige AI

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Ibex Medical Analytics

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Philips (Koninklijke Philips N.V

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Indica Labs

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Aiforia Technologies

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Proscia

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Tempus

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Visiopharm A/S

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. PathAI

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

Answer : The driving factors of the AI-enabled digital pathology software market are the need for higher precision for cancer diagnostics, growing biopsy volumes, and the increasing shift toward personalized medicine.

Answer : North America region will lead the global AI-enabled digital pathology software market during the forecast period 2026 to 2035.

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