AI in Pathology Market Size, Trends, Growth, Analysis, Revenue, Challenges, Future Opportunities
AI in Pathology Market Growth, Size, Trends Analysis - By Offering, By Neural Network, By Function, By Use Case, By End User - Regional Outlook, Competitive Strategies and Segment Forecast to 2034
| Published: Jan-2025 | Report ID: HLCA2505 | Pages: 1 - 246 | Formats*: |
| Category : Healthcare | |||
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 350.68 million by 2034, 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.
By Offering Insights
The market for AI in pathology in 2024 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 2024, 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 | 2021-2034 |
| Base year considered | 2024 |
| Forecast period | 2025-2034 |
| 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’2021-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 report1.2. Market segment analysis
2. Research Methodology
2.1. Research data source2.1.1. Secondary Data2.1.2. Primary Data2.1.3. SPERs internal database2.1.4. Premium insight from KOLs2.2. Market size estimation2.2.1. Top-down and Bottom-up approach2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis4.1.1. Drivers4.1.2. Restraints4.1.3. Opportunities4.1.4. Challenges
5. Market variable and outlook
5.1. SWOT Analysis5.1.1. Strengths5.1.2. Weaknesses5.1.3. Opportunities5.1.4. Threats5.2. PESTEL Analysis5.2.1. Political Landscape5.2.2. Economic Landscape5.2.3. Social Landscape5.2.4. Technological Landscape5.2.5. Environmental Landscape5.2.6. Legal Landscape5.3. PORTERs Five Forces5.3.1. Bargaining power of suppliers5.3.2. Bargaining power of buyers5.3.3. Threat of Substitute5.3.4. Threat of new entrant5.3.5. Competitive rivalry5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global AI in Pathology Market Manufacturing Base Distribution, Sales Area, Product Type6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global AI in Pathology Market
7. Global AI in Pathology Market, By Offering (USD Million) 2021-2034
7.1. End-to-End Solutions7.2. Niche Point Solutions7.3. Technology7.4. Hardware7.5. Microscopes7.6. Scanners7.7. Storage Systems
8. Global AI in Pathology Market, By Neural Network (USD Million) 2021-2034
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) 2021-2034
9.1. Image Analysis9.2. Diagnostics9.3. Workflow Management9.4. Data Management9.5. Predictive Analytics9.6. CDSS9.7. Automated Report Generation9.8. Quality Assurance Tools
10. Global AI in Pathology Market, By Use Case (USD Million) 2021-2034
10.1. Drug Discovery10.2. Disease Diagnosis and Prognosis10.3. Clinical Workflow10.4. Training and Education
11. Global AI in Pathology Market, By End User (USD Million) 2021-2034
11.1. Pharmaceutical & Biopharmaceutical Companies11.2. Hospitals and Reference Laboratories11.3. Academic & Research Institutes
12. Global AI in Pathology Market (USD Million) 2021-2034
12.1. Global AI in Pathology Market Size and Market Share
13. Global AI in Pathology Market, By Region (USD Million) 2021-2034
13.1. Asia-Pacific13.1.1. Australia13.1.2. China13.1.3. India13.1.4. Japan13.1.5. South Korea13.1.6. Rest of Asia-Pacific13.2. Europe13.2.1. France13.2.2. Germany13.2.3. Italy13.2.4. Spain13.2.5. United Kingdom13.2.6. Rest of Europe13.3. Middle East and Africa13.3.1. Kingdom of Saudi Arabia13.3.2. United Arab Emirates13.3.3. Qatar13.3.4. South Africa13.3.5. Egypt13.3.6. Morocco13.3.7. Nigeria13.3.8. Rest of Middle-East and Africa13.4. North America13.4.1. Canada13.4.2. Mexico13.4.3. United States13.5. Latin America13.5.1. Argentina13.5.2. Brazil13.5.3. Rest of Latin America
14. Company Profile
14.1. Koninklijke Philips N.V14.1.1. Company details14.1.2. Financial outlook14.1.3. Product summary14.1.4. Recent developments14.2. F. www Hoffmann-La Roche Ltd14.2.1. Company details14.2.2. Financial outlook14.2.3. Product summary14.2.4. Recent developments14.3. Hologic, Inc14.3.1. Company details14.3.2. Financial outlook14.3.3. Product summary14.3.4. Recent developments14.4. Akoya Biosciences, Inc14.4.1. Company details14.4.2. Financial outlook14.4.3. Product summary14.4.4. Recent developments14.5. Aiosyn14.5.1. Company details14.5.2. Financial outlook14.5.3. Product summary14.5.4. Recent developments14.6. Aiforia Technologies Plc14.6.1. Company details14.6.2. Financial outlook14.6.3. Product summary14.6.4. Recent developments14.7. Indica Labs Inc14.7.1. Company details14.7.2. Financial outlook14.7.3. Product summary14.7.4. Recent developments14.8. OptraScan14.8.1. Company details14.8.2. Financial outlook14.8.3. Product summary14.8.4. Recent developments14.9. Ibex Medical Analytics Ltd14.9.1. Company details14.9.2. Financial outlook14.9.3. Product summary14.9.4. Recent developments14.10. Mindpeak GmbH14.10.1. Company details14.10.2. Financial outlook14.10.3. Product summary14.10.4. Recent developments14.11. Tribun Health14.11.1. Company details14.11.2. Financial outlook14.11.3. Product summary14.11.4. Recent developments14.12. Techcyte, Inc14.12.1. Company details14.12.2. Financial outlook14.12.3. Product summary14.12.4. Recent developments14.13. Deep Bio Inc14.13.1. Company details14.13.2. Financial outlook14.13.3. Product summary14.13.4. Recent developments14.14. Lumea Inc14.14.1. Company details14.14.2. Financial outlook14.14.3. Product summary14.14.4. Recent developments14.15. Visiopharm14.15.1. Company details14.15.2. Financial outlook14.15.3. Product summary14.15.4. Recent developments14.16. 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.
Frequently Asked Questions About This Report
AI in Pathology Market is projected to reach USD 350.68 million by 2034, growing at a CAGR of 15. 61% during the forecast period.
AI in Pathology Market grew in Market size from 2025. The Market is expected to reach USD 350.68 million by 2034, at a CAGR of 15. 61% during the forecast period.
AI in Pathology Market CAGR of 15. 61% during the forecast period.
You can get the sample pages by clicking the link - Click Here
AI in Pathology Market size is USD 350.68 million from 2025 to 2034.
AI in Pathology Market is covered By Offering, By Neural Network, By Function, By Use Case, By End User
The North America is anticipated to have the highest Market share in the AI in Pathology Market.
The Key players in the Market include 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.
The high cost of advanced diabetes drugs and the financial burden of treating diabetes remain major obstacles to market growth, despite the fact that numerous drugs have been approved for the condition and that governments and industry players are launching numerous initiatives.
PLACE AN ORDER
Year End Discount
Sample Report
Pre-Purchase Inquiry
NEED CUSTOMIZATION?
Request CustomizationCALL OR EMAIL US
100% Secure Payment
Related Reports
Have a glance of the Report
Our Global Clients
Our data-driven insights have influenced the strategy of 200+ reputed companies across the globe.
