The global AI in Pathology market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
AI in Pathology refers to the integration of Artificial Intelligence (AI) technologies in the field of pathology, which involves the study and diagnosis of diseases through the examination of tissues, cells, and body fluids. AI applications in pathology include image analysis, pattern recognition, and machine learning algorithms that aid pathologists in the interpretation of medical images, enhancing diagnostic accuracy and efficiency.
The AI in Pathology market is a rapidly evolving segment within healthcare. Key aspects of the market include:
Image Analysis and Diagnosis:
AI technologies analyze pathology images, assisting pathologists in identifying patterns, anomalies, and potential markers for diseases.
Efficiency and Accuracy:
Automation through AI contributes to increased efficiency and accuracy in pathology diagnosis, reducing turnaround times and improving patient outcomes.
Integration with Laboratory Systems:
AI in pathology is integrated with laboratory information systems, allowing seamless workflow integration and data sharing.
This report includes an overview of the development of the AI in Pathology industry chain, the market status of Pharmaceutical & Biotechnology Companies (Convolutional neural networks (CNNs), Generative adversarial networks (GANs)), Hospitals & Reference Laboratories (Convolutional neural networks (CNNs), Generative adversarial networks (GANs)), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI in Pathology.
Regionally, the report analyzes the AI in Pathology markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI in Pathology market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the AI in Pathology market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI in Pathology industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Convolutional neural networks (CNNs), Generative adversarial networks (GANs)).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI in Pathology market.
Regional Analysis: The report involves examining the AI in Pathology market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI in Pathology market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to AI in Pathology:
Company Analysis: Report covers individual AI in Pathology players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI in Pathology This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Pharmaceutical & Biotechnology Companies, Hospitals & Reference Laboratories).
Technology Analysis: Report covers specific technologies relevant to AI in Pathology. It assesses the current state, advancements, and potential future developments in AI in Pathology areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI in Pathology market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
AI in Pathology market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Convolutional neural networks (CNNs)
Generative adversarial networks (GANs)
Recurrent neural networks (RNNs)
Others
Market segment by Application
Pharmaceutical & Biotechnology Companies
Hospitals & Reference Laboratories
Academic & Research Institutes
Market segment by players, this report covers
Koninklijke Philips N.V.
F.Hoffmann-La Roche Ltd.
Hologic, Inc.
Visiopharm A/S
Paige AI, Inc.
PathAI, Inc.
Aiforia Technologies Plc
Indica Labs, Inc.
Optrascan, Inc. (Optra Ventures, LLC)
MindPeak GmbH
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in Pathology product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Pathology, with revenue, gross margin and global market share of AI in Pathology from 2019 to 2024.
Chapter 3, the AI in Pathology competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and AI in Pathology market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Pathology.
Chapter 13, to describe AI in Pathology research findings and conclusion.
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1 Market Overview
1.1 Product Overview and Scope of AI in Pathology
1.2 Market Estimation Caveats and Base Year
1.3 Classification of AI in Pathology by Type
1.3.1 Overview: Global AI in Pathology Market Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global AI in Pathology Consumption Value Market Share by Type in 2023
1.3.3 Convolutional neural networks (CNNs)
1.3.4 Generative adversarial networks (GANs)
1.3.5 Recurrent neural networks (RNNs)
1.3.6 Others
1.4 Global AI in Pathology Market by Application
1.4.1 Overview: Global AI in Pathology Market Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Pharmaceutical & Biotechnology Companies
1.4.3 Hospitals & Reference Laboratories
1.4.4 Academic & Research Institutes
1.5 Global AI in Pathology Market Size & Forecast
1.6 Global AI in Pathology Market Size and Forecast by Region
1.6.1 Global AI in Pathology Market Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global AI in Pathology Market Size by Region, (2019-2030)
1.6.3 North America AI in Pathology Market Size and Prospect (2019-2030)
1.6.4 Europe AI in Pathology Market Size and Prospect (2019-2030)
1.6.5 Asia-Pacific AI in Pathology Market Size and Prospect (2019-2030)
1.6.6 South America AI in Pathology Market Size and Prospect (2019-2030)
1.6.7 Middle East and Africa AI in Pathology Market Size and Prospect (2019-2030)
2 Company Profiles
2.1 Koninklijke Philips N.V.
2.1.1 Koninklijke Philips N.V. Details
2.1.2 Koninklijke Philips N.V. Major Business
2.1.3 Koninklijke Philips N.V. AI in Pathology Product and Solutions
2.1.4 Koninklijke Philips N.V. AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.1.5 Koninklijke Philips N.V. Recent Developments and Future Plans
2.2 F.Hoffmann-La Roche Ltd.
2.2.1 F.Hoffmann-La Roche Ltd. Details
2.2.2 F.Hoffmann-La Roche Ltd. Major Business
2.2.3 F.Hoffmann-La Roche Ltd. AI in Pathology Product and Solutions
2.2.4 F.Hoffmann-La Roche Ltd. AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.2.5 F.Hoffmann-La Roche Ltd. Recent Developments and Future Plans
2.3 Hologic, Inc.
2.3.1 Hologic, Inc. Details
2.3.2 Hologic, Inc. Major Business
2.3.3 Hologic, Inc. AI in Pathology Product and Solutions
2.3.4 Hologic, Inc. AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.3.5 Hologic, Inc. Recent Developments and Future Plans
2.4 Visiopharm A/S
2.4.1 Visiopharm A/S Details
2.4.2 Visiopharm A/S Major Business
2.4.3 Visiopharm A/S AI in Pathology Product and Solutions
2.4.4 Visiopharm A/S AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.4.5 Visiopharm A/S Recent Developments and Future Plans
2.5 Paige AI, Inc.
2.5.1 Paige AI, Inc. Details
2.5.2 Paige AI, Inc. Major Business
2.5.3 Paige AI, Inc. AI in Pathology Product and Solutions
2.5.4 Paige AI, Inc. AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.5.5 Paige AI, Inc. Recent Developments and Future Plans
2.6 PathAI, Inc.
2.6.1 PathAI, Inc. Details
2.6.2 PathAI, Inc. Major Business
2.6.3 PathAI, Inc. AI in Pathology Product and Solutions
2.6.4 PathAI, Inc. AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.6.5 PathAI, Inc. Recent Developments and Future Plans
2.7 Aiforia Technologies Plc
2.7.1 Aiforia Technologies Plc Details
2.7.2 Aiforia Technologies Plc Major Business
2.7.3 Aiforia Technologies Plc AI in Pathology Product and Solutions
2.7.4 Aiforia Technologies Plc AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.7.5 Aiforia Technologies Plc Recent Developments and Future Plans
2.8 Indica Labs, Inc.
2.8.1 Indica Labs, Inc. Details
2.8.2 Indica Labs, Inc. Major Business
2.8.3 Indica Labs, Inc. AI in Pathology Product and Solutions
2.8.4 Indica Labs, Inc. AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.8.5 Indica Labs, Inc. Recent Developments and Future Plans
2.9 Optrascan, Inc. (Optra Ventures, LLC)
2.9.1 Optrascan, Inc. (Optra Ventures, LLC) Details
2.9.2 Optrascan, Inc. (Optra Ventures, LLC) Major Business
2.9.3 Optrascan, Inc. (Optra Ventures, LLC) AI in Pathology Product and Solutions
2.9.4 Optrascan, Inc. (Optra Ventures, LLC) AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.9.5 Optrascan, Inc. (Optra Ventures, LLC) Recent Developments and Future Plans
2.10 MindPeak GmbH
2.10.1 MindPeak GmbH Details
2.10.2 MindPeak GmbH Major Business
2.10.3 MindPeak GmbH AI in Pathology Product and Solutions
2.10.4 MindPeak GmbH AI in Pathology Revenue, Gross Margin and Market Share (2019-2024)
2.10.5 MindPeak GmbH Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global AI in Pathology Revenue and Share by Players (2019-2024)
3.2 Market Share Analysis (2023)
3.2.1 Market Share of AI in Pathology by Company Revenue
3.2.2 Top 3 AI in Pathology Players Market Share in 2023
3.2.3 Top 6 AI in Pathology Players Market Share in 2023
3.3 AI in Pathology Market: Overall Company Footprint Analysis
3.3.1 AI in Pathology Market: Region Footprint
3.3.2 AI in Pathology Market: Company Product Type Footprint
3.3.3 AI in Pathology Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global AI in Pathology Consumption Value and Market Share by Type (2019-2024)
4.2 Global AI in Pathology Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
5.1 Global AI in Pathology Consumption Value Market Share by Application (2019-2024)
5.2 Global AI in Pathology Market Forecast by Application (2025-2030)
6 North America
6.1 North America AI in Pathology Consumption Value by Type (2019-2030)
6.2 North America AI in Pathology Consumption Value by Application (2019-2030)
6.3 North America AI in Pathology Market Size by Country
6.3.1 North America AI in Pathology Consumption Value by Country (2019-2030)
6.3.2 United States AI in Pathology Market Size and Forecast (2019-2030)
6.3.3 Canada AI in Pathology Market Size and Forecast (2019-2030)
6.3.4 Mexico AI in Pathology Market Size and Forecast (2019-2030)
7 Europe
7.1 Europe AI in Pathology Consumption Value by Type (2019-2030)
7.2 Europe AI in Pathology Consumption Value by Application (2019-2030)
7.3 Europe AI in Pathology Market Size by Country
7.3.1 Europe AI in Pathology Consumption Value by Country (2019-2030)
7.3.2 Germany AI in Pathology Market Size and Forecast (2019-2030)
7.3.3 France AI in Pathology Market Size and Forecast (2019-2030)
7.3.4 United Kingdom AI in Pathology Market Size and Forecast (2019-2030)
7.3.5 Russia AI in Pathology Market Size and Forecast (2019-2030)
7.3.6 Italy AI in Pathology Market Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific AI in Pathology Consumption Value by Type (2019-2030)
8.2 Asia-Pacific AI in Pathology Consumption Value by Application (2019-2030)
8.3 Asia-Pacific AI in Pathology Market Size by Region
8.3.1 Asia-Pacific AI in Pathology Consumption Value by Region (2019-2030)
8.3.2 China AI in Pathology Market Size and Forecast (2019-2030)
8.3.3 Japan AI in Pathology Market Size and Forecast (2019-2030)
8.3.4 South Korea AI in Pathology Market Size and Forecast (2019-2030)
8.3.5 India AI in Pathology Market Size and Forecast (2019-2030)
8.3.6 Southeast Asia AI in Pathology Market Size and Forecast (2019-2030)
8.3.7 Australia AI in Pathology Market Size and Forecast (2019-2030)
9 South America
9.1 South America AI in Pathology Consumption Value by Type (2019-2030)
9.2 South America AI in Pathology Consumption Value by Application (2019-2030)
9.3 South America AI in Pathology Market Size by Country
9.3.1 South America AI in Pathology Consumption Value by Country (2019-2030)
9.3.2 Brazil AI in Pathology Market Size and Forecast (2019-2030)
9.3.3 Argentina AI in Pathology Market Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa AI in Pathology Consumption Value by Type (2019-2030)
10.2 Middle East & Africa AI in Pathology Consumption Value by Application (2019-2030)
10.3 Middle East & Africa AI in Pathology Market Size by Country
10.3.1 Middle East & Africa AI in Pathology Consumption Value by Country (2019-2030)
10.3.2 Turkey AI in Pathology Market Size and Forecast (2019-2030)
10.3.3 Saudi Arabia AI in Pathology Market Size and Forecast (2019-2030)
10.3.4 UAE AI in Pathology Market Size and Forecast (2019-2030)
11 Market Dynamics
11.1 AI in Pathology Market Drivers
11.2 AI in Pathology Market Restraints
11.3 AI in Pathology Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 AI in Pathology Industry Chain
12.2 AI in Pathology Upstream Analysis
12.3 AI in Pathology Midstream Analysis
12.4 AI in Pathology Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Koninklijke Philips N.V.
F.Hoffmann-La Roche Ltd.
Hologic, Inc.
Visiopharm A/S
Paige AI, Inc.
PathAI, Inc.
Aiforia Technologies Plc
Indica Labs, Inc.
Optrascan, Inc. (Optra Ventures, LLC)
MindPeak GmbH
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*If Applicable.