Global AI in Pathology Market Introduction and Overview
According to SPER Market Research, the Global AI in Pathology Market is estimated to reach USD 350.68 million by 2034 with a CAGR of 15.61%.
The report includes an in-depth analysis of the Global AI in Pathology Market, including market size and trends, product mix, Applications, and supplier analysis.
The global market for AI in pathology is expected to grow from USD 95. 73 million in 2025 to USD 405. 42 million by 2030, with a growth rate of 15. 61%. AI algorithms can analyze digital pathology images to find and describe issues like tumors and cancerous cells, supporting pathologists in making better diagnoses and treatment decisions. This technology offers benefits like accurate results, increased efficiency, and improved patient care by using large datasets and trained algorithms on labelled pathology images.
Our in-depth analysis of the Global AI in Pathology Market includes the following segments:
By Offering Insights
The market for AI in pathology in 2023 was dominated by the end-to-end solutions (integrated platforms) segment. The global AI in pathology market consists of end-to-end solutions (integrated platforms), niche point solutions, and technology. In 2023, end-to-end solutions held the largest market share due to their acceptance among pathologists. These solutions offer benefits like adaptability and interoperability, automating tasks such as image analysis, data extraction, and report generation. This technology has great potential to improve disease detection, diagnosis, and treatment.
By Neural Network Insights
Convolutional neural networks are thought to be the market segment with the quickest rate of growth for AI in pathology. The AI in pathology market is divided into types of neural networks: Generative Adversarial Network (GAN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and others. The CNN segment is expected to grow the fastest because it effectively analyzes complex visual data, including pathology images, extracts important features, and provides accurate diagnoses. CNN can also identify areas of interest and improve its performance with new data and feedback.
By Regional Insights
North America leads the pathology AI market due to strong healthcare infrastructure, supportive regulations, and a willingness to adopt advanced diagnostics. The US and Canada invest heavily in digital pathology and AI to enhance diagnosis accuracy and efficiency, particularly for tough diseases like cancer. Initiatives such as the FDA's fast-tracked approval of AI technologies have accelerated AI adoption in pathology. Additionally, collaborations between technology firms and healthcare providers, supported by government and private funding, further boost the development of these solutions in the region.
Market Competitive Landscape
Key competitors in the respiratory industry are using collaborations, mergers and acquisitions, and new product development to grow their market share. Notable firms include Teva Pharmaceuticals, 3M, Novartis, Adherium, Propeller Health, and COHERO Health. These companies are using various strategies to gain an edge over rivals.
Recent Developments:
- In February 2024, Roche Tissue Diagnostics (RTD) worked with PathAI to develop AI-powered digital pathology algorithms for RTD's companion diagnostics division. These algorithms will be integrated into Roche’s Navify Digital Pathology platform for use in pathology labs worldwide.
- In February 2024, the US FDA approved Hologic Inc. ’s Genius Digital Diagnostics System, the first digital cytology solution using AI and advanced imaging to detect pre-cancerous lesions and cervical cancer cells.
- The Lung Macrodissect AI tool, introduced by Indica Labs Inc. in August 2023, revolutionizes workflows in molecular pathology and slide macrodissection.
- In August 2022, Adherium Limited and Trudell Medical joined to help COPD patients by integrating Adherium's Hailie sensors with Trudell's U.S. operations and Aetonix's aTouchAway platform. The goal was to improve patient outcomes and lower readmission rates.
Scope of the report:
| Report Metric | Details |
| Market size available for years | 2020-2033 |
| Base year considered | 2023 |
| Forecast period | 2024-2033 |
| Segments covered | By Offering, By Neural Network, By Function, By Use Case, By End User |
| Regions covered | North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa |
| Companies Covered | Koninklijke Philips N.V, F. www Hoffmann-La Roche Ltd, Hologic, Inc, Akoya Biosciences, Inc, Aiosyn, Aiforia Technologies Plc, Indica Labs Inc, OptraScan, Ibex Medical Analytics Ltd, Mindpeak GmbH, Tribun Health, Techcyte, Inc, Deep Bio Inc, Lumea Inc, Visiopharm. |
Key Topics Covered in the Report:
- Global AI in Pathology Market Size (FY’2025-FY’2034)
- Overview of Global AI in Pathology Market
- Segmentation of Global AI in Pathology Market By Offering (End-to-End Solutions, Niche Point Solutions, Technology, Hardware, Microscopes, Scanners, Storage Systems)
- Segmentation of Global AI in Pathology Market By Neural Network (Convolutional Neural Networks, Generative Adversarial Networks, Recurrent Neural Networks, Others Neural Networks)
- Segmentation of Global AI in Pathology Market By Function (Image Analysis, Diagnostics, Workflow Management, Data Management, Predictive Analytics, CDSS, Automated Report Generation, Quality Assurance Tools)
- Segmentation of Global AI in Pathology Market By Use Case (Drug Discovery, Disease Diagnosis and Prognosis, Clinical Workflow, Training and Education)
- Segmentation of Global AI in Pathology Market By End User (Pharmaceutical & Biopharmaceutical Companies, Hospitals and Reference Laboratories, Academic & Research Institutes)
- Statistical Snap of Global AI in Pathology Market
- Expansion Analysis of Global AI in Pathology Market
- Problems and Obstacles in Global AI in Pathology Market
- Competitive Landscape in the Global AI in Pathology Market
- Details on Current Investment in Global AI in Pathology Market
- Competitive Analysis of Global AI in Pathology Market
- Prominent Players in the Global AI in Pathology Market
- SWOT Analysis of Global AI in Pathology Market
- Global AI in Pathology Market Future Outlook and Projections (FY’2025-FY’2034)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report
1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data
2.1.2. Primary Data
2.1.3. SPER’s internal database
2.1.4. Premium insight from KOL’s
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.1.4. Challenges
5. Market variable and outlook
5.1. SWOT Analysis
5.1.1. Strengths
5.1.2. Weaknesses
5.1.3. Opportunities
5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape
5.2.2. Economic Landscape
5.2.3. Social Landscape
5.2.4. Technological Landscape
5.2.5. Environmental Landscape
5.2.6. Legal Landscape
5.3. PORTER’s Five Forces
5.3.1. Bargaining power of suppliers
5.3.2. Bargaining power of buyers
5.3.3. Threat of Substitute
5.3.4. Threat of new entrant
5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global AI in Pathology Market Manufacturing Base Distribution, Sales Area, Product Type
6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global AI in Pathology Market
7. Global AI in Pathology Market, By Offering (USD Million) 2025-2034
7.1. End-to-End Solutions
7.2. Niche Point Solutions
7.3. Technology
7.4. Hardware
7.5. Microscopes
7.6. Scanners
7.7. Storage Systems
8. Global AI in Pathology Market, By Neural Network (USD Million) 2025-2034
8.1. Convolutional Neural Networks (CNNS)
8.2. Generative Adversarial Networks (GANS)
8.3. Recurrent Neural Networks (RNNS)
8.4. Others Neural Networks
9. Global AI in Pathology Market, By Function (USD Million) 2025-2034
9.1. Image Analysis
9.2. Diagnostics
9.3. Workflow Management
9.4. Data Management
9.5. Predictive Analytics
9.6. CDSS
9.7. Automated Report Generation
9.8. Quality Assurance Tools
10. Global AI in Pathology Market, By Use Case (USD Million) 2025-2034
10.1. Drug Discovery
10.2. Disease Diagnosis and Prognosis
10.3. Clinical Workflow
10.4. Training and Education
11. Global AI in Pathology Market, By End User (USD Million) 2025-2034
11.1. Pharmaceutical & Biopharmaceutical Companies
11.2. Hospitals and Reference Laboratories
11.3. Academic & Research Institutes
12. Global AI in Pathology Market Forecast, 2025-2034 (USD Million)
12.1. Global AI in Pathology Market Size and Market Share
13. Global AI in Pathology Market, By Region, 2025-2034 (USD Million)
13.1. Asia-Pacific
13.1.1. Australia
13.1.2. China
13.1.3. India
13.1.4. Japan
13.1.5. South Korea
13.1.6. Rest of Asia-Pacific
13.2. Europe
13.2.1. France
13.2.2. Germany
13.2.3. Italy
13.2.4. Spain
13.2.5. United Kingdom
13.2.6. Rest of Europe
13.3. Middle East and Africa
13.3.1. Kingdom of Saudi Arabia
13.3.2. United Arab Emirates
13.3.3. Qatar
13.3.4. South Africa
13.3.5. Egypt
13.3.6. Morocco
13.3.7. Nigeria
13.3.8. Rest of Middle-East and Africa
13.4. North America
13.4.1. Canada
13.4.2. Mexico
13.4.3. United States
13.5. Latin America
13.5.1. Argentina
13.5.2. Brazil
13.5.3. Rest of Latin America
14. Company Profile
14.1. Koninklijke Philips N.V
14.1.1. Company details
14.1.2. Financial outlook
14.1.3. Product summary
14.1.4. Recent developments
14.2. F. www Hoffmann-La Roche Ltd
14.2.1. Company details
14.2.2. Financial outlook
14.2.3. Product summary
14.2.4. Recent developments
14.3. Hologic, Inc
14.3.1. Company details
14.3.2. Financial outlook
14.3.3. Product summary
14.3.4. Recent developments
14.4. Akoya Biosciences, Inc
14.4.1. Company details
14.4.2. Financial outlook
14.4.3. Product summary
14.4.4. Recent developments
14.5. Aiosyn
14.5.1. Company details
14.5.2. Financial outlook
14.5.3. Product summary
14.5.4. Recent developments
14.6. Aiforia Technologies Plc
14.6.1. Company details
14.6.2. Financial outlook
14.6.3. Product summary
14.6.4. Recent developments
14.7. Indica Labs Inc
14.7.1. Company details
14.7.2. Financial outlook
14.7.3. Product summary
14.7.4. Recent developments
14.8. OptraScan
14.8.1. Company details
14.8.2. Financial outlook
14.8.3. Product summary
14.8.4. Recent developments
14.9. Ibex Medical Analytics Ltd
14.9.1. Company details
14.9.2. Financial outlook
14.9.3. Product summary
14.9.4. Recent developments
14.10. Mindpeak GmbH
14.10.1. Company details
14.10.2. Financial outlook
14.10.3. Product summary
14.10.4. Recent developments
14.11. Tribun Health
14.11.1. Company details
14.11.2. Financial outlook
14.11.3. Product summary
14.11.4. Recent developments
14.12. Techcyte, Inc
14.12.1. Company details
14.12.2. Financial outlook
14.12.3. Product summary
14.12.4. Recent developments
14.13. Deep Bio Inc
14.13.1. Company details
14.13.2. Financial outlook
14.13.3. Product summary
14.13.4. Recent developments
14.14. Lumea Inc
14.14.1. Company details
14.14.2. Financial outlook
14.14.3. Product summary
14.14.4. Recent developments
14.15. Visiopharm
14.15.1. Company details
14.15.2. Financial outlook
14.15.3. Product summary
14.15.4. Recent developments
14.16. Others
15. Conclusion
16. List of Abbreviations
17. Reference Links
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
