The AI in Pathology Market size was valued at USD 1050.18 million in 2023 and is expected to grow to USD 1915.21 million by 2031 and grow at a CAGR Of 7.8% over the forecast period of 2024-2031.
With the help of the combination of artificial intelligence pathology, pathologists may now adopt image analytics by analyzing more slides in a shorter amount of time. This can assist pathologists in narrowing their focus and enhancing the effectiveness of their results. With devices and applications having access to electronic health records, radiology pictures, and other data, the use of artificial intelligence in pathology will change the whole patient experience and encourage greater patient engagement.
KEY DRIVERS:
Enhancements in computer Power and Cloud Infrastructure
Deep learning algorithms
Deep learning algorithms and computer vision techniques have significantly improved in recent years, making it possible for AI models to analyze and interpret medical images with ever-increasing accuracy. There are now more applications for AI in pathology because of the creation of complex AI algorithms that can spot patterns and anomalies in pathology images.
RESTRAIN:
Data quality and standardization
Cost factors
The creation or procurement of AI software, hardware infrastructure, and continuous maintenance can all be quite expensive when using AI systems in pathology. To justify their adoption, AI systems must carefully consider their return on investment and cost-effectiveness.
OPPORTUNITY:
Workflow Automation
Data mining and research
AI systems can examine massive databases, including genomic data and electronic medical records, to find patterns, biomarkers, and new relationships. This promotes pathology research efforts and aids in the creation of innovative diagnostic and therapy strategies.
CHALLENGES:
Transparency and comprehensibility
Limited data availability for rare diseases
For AI algorithms to perform at their best, they normally need a lot of labeled data. Nevertheless, it can be difficult to get enough labeled data for rare diseases or conditions. Collaborations across healthcare organizations, data-sharing programs, and the creation of transfer learning methodologies to draw on information from related disease fields are all part of the solution to this problem.
The rapid adoption of AI-based techniques in pathology has been spurred by the need to effectively diagnose and manage COVID-19 cases. To help with the detection and categorization of COVID-19-related pathology findings, such as lung abnormalities on chest radiographs or CT scans, AI algorithms have been created and put to use. The creation of AI models has been employed extensively in COVID-19 research to analyze a sizable amount of histopathology and medical imaging data. Understanding the pathology of the disease and prospective treatments has been made possible thanks to AI algorithms' assistance in recognizing patterns and features in pathology images linked to COVID-19 infection. The pandemic has interfered with research and development in the market for AI in pathology. several clinical trials
IMPACT OF RUSSIAN UKRAINE WAR
The war and its aftermath may cause the international supply chains that support the AI in pathology sector to be disrupted. The development of software and the manufacturing of electrical components both heavily involve Ukraine. Any regional disturbances could cause delays or a lack of essential parts needed for AI pathology systems. Political unrest and hostilities frequently result in economic turbulence, which has an impact on stock market behavior and investment choices. In such a setting, businesses could be reluctant to spend money on AI pathology solutions, which would hinder market expansion or cause it to migrate to more secure geographical areas. The war's effects on the AI pathology market.
IMPACT OF ONGOING RECESSION
During a downturn, money for research and development including AI in pathology may be in short supply. Spending priorities may cause businesses and organizations to cut back on investments in developing technology. This might slow down the creation and uptake of AI applications in pathology. Budget reductions in many industries, including healthcare, are common during recessions. Financial limitations might affect the willingness and capacity of pathology departments to invest in AI technologies. The market for AI in pathology may grow more slowly due to decreased demand.
By Neural Network Type
Convolutional Neural Networks
Recurrent Neural Networks
Generative Adversarial Networks
MVPNet
Reinforced Auto Zoom Net
By Product Type
Scanners
Software
Communication Systems
Storage Systems
By Type
Human Pathology
Veterinary Pathology
By End User
Pharmaceutical and Biotechnology Companies
Hospitals and Reference Laboratories
Academic and Research Institutes
By Application
Teleconsultation
Disease Diagnosis
Drug Discovery
Training and Education
North America
USA
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Europe
Asia-Pacific
Japan
South Korea
China
India
Australia
Rest of Asia-Pacific
The Middle East & Africa
Israel
UAE
South Africa
Rest of the Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin American
Roche, Leica Biosystems, Hamamatsu Photonics, Koninklijke Philips, 3D Hsitech, Apollo Enterprises Imaging, Xifin, Huron Digital Pathology, Visionpharm, Corista, Indica Labs, Objective Pathology Services, and other players listed in the final report.
| Report Attributes | Details |
| Market Size in 2023 | US$ 1050.18 Mn |
| Market Size by 2031 | US$ 1915.21 Mn |
| CAGR | CAGR of 7.8% From 2024 to 2031 |
| Base Year | 2023 |
| Forecast Period | 2024-2031 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Neutral Network Type (Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, MVPNet, Reinforced Auto Zoom Net) • By Product Type (Scanners, Software, Communication Systems, Storage Systems) • By Type (Human Pathology, Veterinary Pathology) • By End User (Pharmaceutical and Biotechnology Companies, Hospitals and Reference Laboratories, Academic and Research Institutes) • By Application (Teleconsultation, Disease Diagnosis, Drug Discovery, Training, and Education) |
| Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | Roche, Leica Biosystems, Hamamatsu Photonics, Koninklijke Philips, 3D Hsitech, Apollo Enterprises Imaging, Xifin, Huron Digital Pathology, Visionpharm, Corista, Indica Labs, Objective Pathology Services |
| Key Drivers | • Enhancements in computer Power and Cloud Infrastructure • Deep learning algorithms |
| Market Opportunities | • Workflow Automation • Data mining and research |
ANS: The market for AI in pathology market is anticipated to expand by 7.4% from 2023 to 2030
ANS: The AI in pathology market size was valued at USD 974.2 million in 2022.
ANS: Roche, Leica Biosystems, Hamamatsu Photonics, Koninklijke Philips, 3D Hsitech, Apollo Enterprises Imaging, Xifin, Huron Digital Pathology, Visionpharm, Corista, Indica Labs,etc.
ANS: Transparency and comprehensibility and Limited data availability for rare diseases.
ANS: Workflow Automation and Data mining and research.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia War
4.3 Impact of Ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 Japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. AI in pathology market Segmentation, By Neural Network Type
8.1 Convolutional Neural Networks
8.2 Recurrent Neural Networks
8.3 Generative Adversarial Networks
8.4 MVPNet
8.5 Reinforced Auto Zoom Net
9. AI in Pathology Market Segmentation, By Product Type
9.1 Scanners
9.2 Software
9.3 Communication Systems
9.4 Storage Systems
10. AI in Pathology Market Segmentation, By Type
10.1 Human Pathology
10.2 Veterinary Pathology
11. AI in Pathology Market Segmentation, By End User
11.1 Pharmaceutical and Biotechnology Companies
11.2 Hospitals and Reference Laboratories
113 Academic and Research Institutes
12. AI in Pathology Market Segmentation, By Application
12.1 Teleconsultation
12.2 Disease Diagnosis
12.3 Drug Discovery
12.4 Training and Education
13. Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America AI in Pathology Market by Country
13.2.2North America AI in Pathology Market by Neutral Network Type
13.2.3 North America AI in Pathology Market by Product Type
13.2.4 North America AI in Pathology Market by Type
13.2.5 North America AI in Pathology Market by End User
13.2.6 North America AI in Pathology Market by Application
13.2.7 USA
13.2.7.1 USA AI in Pathology Market by Neutral Network Type
13.2.7.2 USA AI in Pathology Market by Product Type
13.2.7.3 USA AI in Pathology Market by Type
13.2.7.4 USA AI in Pathology Market by End User
13.2.7.5 USA AI in Pathology Market by Application
13.2.8 Canada
13.2.8.1 Canada AI in Pathology Market by Neutral Network Type
13.2.8.2 Canada AI in Pathology Market by Product Type
13.2.8.3 Canada AI in Pathology Market by Type
13.2.8.4 Canada AI in Pathology Market by End User
13.2.8.5 Canada AI in Pathology Market by Application
13.2.9 Mexico
13.2.9.1 Mexico AI in Pathology Market by Neutral Network Type
13.2.9.2 Mexico AI in Pathology Market by Product Type
13.2.9.3 Mexico AI in Pathology Market by Type
13.2.9.4 Mexico AI in Pathology Market by End User
13.2.9.5 Mexico AI in Pathology Market by Application
13.3 Europe
13.3.1 Europe AI in Pathology Market by Country
1.3.3.2 Europe AI in Pathology Market by Neutral Network Type
13.3.3 Europe AI in Pathology Market by Product Type
13.3.4 Europe AI in Pathology Market by Type
13.3.5 Europe AI in Pathology Market by End User
13.3.6 Europe AI in Pathology Market by Application
13.3.7 Germany
13.3.7.1 Germany AI in Pathology Market by Neutral Network Type
13.3.7.2 Germany AI in Pathology Market by Product Type
13.3.7.3 Germany AI in Pathology Market by Type
13.3.7.4 Germany AI in Pathology Market by End User
13.3.7.5 Germany AI in Pathology Market by Application
13.3.8 UK
13.3.8.1 UK AI in Pathology Market by Neutral Network Type
13.3.8.2 UK AI in Pathology Market by Product Type
13.3.8.3 UK AI in Pathology Market by Type
13.3.8.4 UK AI in Pathology Market by End User
13.3.8.5 UK AI in Pathology Market by Application
13.3.9 France
13.3.9.1 France AI in Pathology Market by Neutral Network Type
13.3.9.2 France AI in Pathology Market by Product Type
13.3.9.3 France AI in Pathology Market by Type
13.3.9.4 France AI in Pathology Market by End User
13.3.9.5 France AI in Pathology Market by Application
13.3.10 Italy
13.3.10.1 Italy AI in Pathology Market by Neutral Network Type
13.3.10.2 Italy AI in Pathology Market by Product Type
13.3.10.3 Italy AI in Pathology Market by Type
13.3.10.4 Italy AI in Pathology Market by End User
13.3.10.5 Italy AI in Pathology Market by Application
13.3.11 Spain
13.3.11.1 Spain AI in Pathology Market by Neutral Network Type
13.3.11.2 Spain AI in Pathology Market by Product Type
13.3.11.3 Spain AI in Pathology Market by Type
13.3.11.4 Spain AI in Pathology Market by End User
13.3.11.5 Spain AI in Pathology Market by Application
13.3.12 The Netherlands
13.3.12.1 Netherlands AI in Pathology Market by Neutral Network Type
13.3.12.2 Netherlands AI in Pathology Market by Product Type
13.3.12.3 Netherlands AI in Pathology Market by Type
13.3.12.4 Netherlands AI in Pathology Market by End User
13.3.12.5 Netherlands AI in Pathology Market by Application
13.3.13 Rest of Europe
13.3.13.1 Rest of Europe AI in Pathology Market by Neutral Network Type
13.3.13.2 Rest of Europe AI in Pathology Market by Product Type
13.3.13.3 Rest of Europe AI in Pathology Market by Type
13.3.13.4 Rest of Europe AI in Pathology Market by End User
13.3.13.5 Rest of Europe AI in Pathology Market by Application
13.4 Asia-Pacific
13.4.1 Asia Pacific AI in Pathology Market by Country
13.4.2 Asia Pacific AI in Pathology Market by Neutral Network Type
13.4.3 Asia Pacific AI in Pathology Market by Product Type
13.4.4Asia Pacific AI in Pathology Market by Type
13.4.5Asia Pacific AI in Pathology Market by End User
13.4.6 Asia Pacific AI in Pathology Market by Application
13.4.7 Japan
13.4.7.1 Japan AI in Pathology Market by Neutral Network Type
13.4.7.2 Japan AI in Pathology Market by Product Type
13.4.7.3 Japan AI in Pathology Market by Type
13.4.7.4 Japan AI in Pathology Market by End User
13.4.7. 5Japan AI in Pathology Market by Application
13.4.8South Korea
13.4.8.1 South Korea AI in Pathology Market by Neutral Network Type
13.4.8.2 South Korea AI in Pathology Market by Product Type
13.4.8.3 South Korea AI in Pathology Market by Type
13.4.8.4 South Korea AI in Pathology Market by End User
13.4.8.5 South Korea AI in Pathology Market by Application
13.4.9 China
13.4.9.1 China AI in Pathology Market by Neutral Network Type
13.4.9.2 China AI in Pathology Market by Product Type
13.4.9.3 China AI in Pathology Market by Type
13.4.9.4 China AI in Pathology Market by End User
13.4.9.5 China AI in Pathology Market by Application
13.4.10 India
13.4.10.1 India AI in Pathology Market by Neutral Network Type
13.4.10.2 India AI in Pathology Market by Product Type
13.4.10.3 India AI in Pathology Market by Type
13.4.10.4 India AI in Pathology Market by End User
13.4.10.5 India AI in Pathology Market by Application
13.4.11 Australia
13.4.11.1 Australia AI in Pathology Market by Neutral Network Type
13.4.11.2 Australia AI in Pathology Market by Product Type
13.4.11.3 Australia AI in Pathology Market by Type
13.4.11.4 Australia AI in Pathology Market by End User
13.4.11.5 Australia AI in Pathology Market by Application
13.4.12 Rest of Asia-Pacific
13.4.12.1 APAC AI in Pathology Market by Neutral Network Type
13.4.12.2 APAC AI in Pathology Market by Product Type
13.4.12.3 APAC AI in Pathology Market by Type
13.4.12.4 APAC AI in Pathology Market by End User
13.4.12.5 APAC AI in Pathology Market by Application
13.5 The Middle East & Africa
13.5.1 The Middle East & Africa AI in Pathology Market by Country
13.5.2 The Middle East & Africa AI in Pathology Market by Neutral Network Type
13.5.3 The Middle East & Africa AI in Pathology Market by Product Type
13.5.4The Middle East & Africa AI in Pathology Market by Type
13.5.5 The Middle East & Africa AI in Pathology Market by End User
13.5.6The Middle East & Africa AI in Pathology Market by Application
13.5.7 Israel
13.5.7.1 Israel AI in Pathology Market by Neutral Network Type
13.5.7.2 Israel AI in Pathology Market by Product Type
13.5.7.3 Israel AI in Pathology Market by Type
13.5.7.4 Israel AI in Pathology Market by End User
13.5.7.5 Israel AI in Pathology Market by Application
13.5.8 UAE
13.5.8.1 UAE AI in Pathology Market by Neutral Network Type
13.5.8.2 UAE AI in Pathology Market by Product Type
13.5.8.3 UAE AI in Pathology Market by Type
13.5.8.4 UAE AI in Pathology Market by End User
13.5.8.5 UAE AI in Pathology Market by Application
13.5.9South Africa
13.5.9.1 South Africa AI in Pathology Market by Neutral Network Type
13.5.9.2 South Africa AI in Pathology Market by Product Type
13.5.9.3 South Africa AI in Pathology Market by Type
13.5.9.4 South Africa AI in Pathology Market by End User
13.5.9.5 South Africa AI in Pathology Market by Application
13.5.10 Rest of Middle East & Africa
13.5.10.1 Rest of Middle East & Asia AI in Pathology Market by Neutral Network Type
13.5.10.2 Rest of Middle East & Asia AI in Pathology Market by Product Type
13.5.10.3 Rest of Middle East & Asia AI in Pathology Market Type
13.5.10.4 Rest of Middle East & Asia AI in Pathology Market by End User
13.5.10.5 Rest of Middle East & Asia AI in Pathology Market by Application
13.6 Latin America
13.6.1 Latin America AI in Pathology Market by Country
13.6.2 Latin America AI in Pathology Market by Neutral Network Type
13.6.3 Latin America AI in Pathology Market by Product Type
13.6.4 Latin America AI in Pathology Market by Type
13.6.5 Latin America AI in Pathology Market by End User
13.6.6 Latin America AI in Pathology Market by Application
13.6.7 Brazil
13.6.7.1 Brazil AI in Pathology Market by Neutral Network Type
13.6.7.2 Brazil Africa AI in Pathology Market by Product Type
13.6.7.3 Brazil AI in Pathology Market by Type
13.6.7.4 Brazil AI in Pathology Market by End User
13.6.7.5 Brazil AI in Pathology Market by Application
13.6.8 Argentina
13.6.8.1 Argentina AI in Pathology Market by Neutral Network Type
13.6.8.2 Argentina AI in Pathology Market by Product Type
13.6.8.3 Argentina AI in Pathology Market by Type
13.6.8.4 Argentina AI in Pathology Market by End User
13.6.8.5 Argentina AI in Pathology Market by Application
13.6.9 Rest of Latin America
13.6.9.1 Rest of Latin America AI in Pathology Market by Neutral Network Type
13.6.9.2 Rest of Latin America AI in Pathology Market by Product Type
13.6.9.3 Rest of Latin America AI in Pathology Market by Type
13.6.9.4 Rest of Latin America AI in Pathology Market by End User
13.6.9.5 Rest of Latin America AI in Pathology Market by Application
14.Company Profile
14.1 Roche
14.1.1 Market Overview
14.1.2 Financials
14.1.3 Product/Services/Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 Leica Biosystems
14.2.1 Market Overview
14.2.2 Financials
14.2.3 Product /Services/Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 Hamamatsu Photonics
14.3.1 Market Overview
14.3.2 Financials
14.3.3 Product/Services/Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 Koninklijke Philips
14.4.1 Market Overview
14.4.2 Financials
14.4.3 Product/Services/Offerings
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 3D Hsitech
14.5.1 Market Overview
14.5.2 Financials
14.5.3 Product/Services/Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 Apollo Enterprises Imaging
14.6.1 Market Overview
14.6.2 Financials
14.6.3 Product/Services/Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Xifin
14.7.1 Market Overview
14.7.2 Financials
14.7.3 Product/Services/Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 Huron Digital Pathology
14.8.1 Market Overview
14.8.2 Financials
14.8.3 Product/Services/Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 Visionpharm
14.9.1 Market Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 Corista
14.10.1 Market Overview
14.10.2 Financials
14.10.3 Product/Services/Offerings
14.10.4 SWOT Analysis
14.10.5 The SNS View
14.11 Indica Labs
14.11.1 Market Overview
14.11.2 Financials
14.11.3 Product/Services/Offerings
14.11.4 SWOT Analysis
14.11.5 The SNS View
14.12 Objective Pathology Services
14.12.1 Market Overview
14.12.2 Financials
14.12.3 Product/Services/Offerings
14.12.4 SWOT Analysis
14.12.5 The SNS View
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
16. USE Cases and Best Practices
17. Conclusion
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