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AI in Pathology Market by Component (Software, Scanners), Neural Network (CNN, GAN, RNN), Application (Drug Discovery, Diagnosis, Prognosis, Workflow, Education), End User (Pharma, Biotech, Hospital Labs, Research), & Region - Global Forecast to 2028

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    Report

  • 199 Pages
  • July 2023
  • Region: Global
  • Markets and Markets
  • ID: 5853315
Description Jump to:

The global AI in pathology market is projected to reach USD 49 Million by 2028 from USD 24 Million in 2023, at a high CAGR of 15.6% during the forecast period. The AI in pathology market refers to the sector within the healthcare industry that encompasses the development, deployment, and utilization of artificial intelligence (AI) technologies specifically designed for pathology applications. AI models can analysed clinical data, genomic information, and pathology images to predict patient prognosis and disease progression. These models assist in personalized treatment planning, identifying high-risk patients, and optimizing healthcare resource allocation. It involves the use of advanced computational algorithms, machine learning techniques, and computer vision methods to analyse pathology images, extract relevant information, and assist pathologists in diagnostic decision-making. 

The drug discovery segment accounted for the largest share during the forecast period, by application.”

In 2022, the drug discovery segment held the largest share of the AI in pathology market. The significant growth in this segment can be attributed to various factors, including the advancements in high throughput screening and imaging technologies, the increasing utilization of AI in toxicology testing for illicit drugs, the rising expenditure on pharmaceutical and biotechnology research and development (R&D), and the ability of AI in pathology to accelerate the development of new therapeutics, improve diagnostic accuracy, and enhance approaches to personalized medicine. These factors contribute to the substantial share of the drug discovery application segment in the AI in pathology market. 

Pharmaceutical and biotechnology companies is the fastest growing end-user segment in the AI in pathology market in 2022.

The AI in pathology market is divided into different end-user segments, including pharmaceutical and biotechnology companies, hospitals and reference laboratories, and academic and research institutes. Among these, the pharmaceutical and biotechnology companies segment is projected to witness the highest growth rate during the forecast period. This segment's significant share and rapid growth can be attributed to the advancement of drug discovery and development processes, as well as the increasing utilization of AI in pathology for drug toxicology testing. Biotechnology companies rely on AI-based digital pathology for various purposes, including biobanking, biopharmaceutical studies, molecular assays, and the development of individualized medicine.

North America to witness the highest growth rate and accounted for largest share during the forecast period.”

During the forecast period, the North America market is anticipated to exhibit the highest growth rate. The growth of the market in the North America region can be attributed to several factors. Firstly, there have been substantial investments to modernize pathology infrastructure in the region, which is driving market growth. Additionally, there is an increasing adoption of digital pathology solutions in North America, contributing to the overall market expansion. Moreover, the continuous expansion of the healthcare infrastructure and the growing availability of advanced AI technologies in the market are further boosting the growth in this region. The increasing focus on technology, patient safety, and quality improvement, combined with technological advancements in medical devices and government initiatives, continues to drive the adoption of AI in pathology market in North America.

The break-down of primary participants is as mentioned below:

  • By Company Type - Tier 1: 45%, Tier 2: 30%, and Tier 3: 25%
  • By Designation - C-level: 42%, Director-level: 31%, and Others: 27%
  • By Region - North America: 32%, Asia Pacific: 26%, Europe: 32%, Middle East & Africa: 5%, Latin America: 5%

Key Players in the AI in Pathology Market

The key players functioning in the AI in pathology market include Koninklijke Philips N.V. (Netherlands), F. Hoffmann-La Roche Ltd (Switzerland), Hologic, Inc. (US), Akoya Biosciences, Inc. (US), Aiforia Technologies Plc (Finland), Indica Labs Inc. (US), OptraScan (US), Ibex Medical Analytics Ltd. (Israel), Mindpeak GmbH (Germany), Tribun Health (France), Techcyte, Inc. (US), Deep Bio Inc. (Korea), Lumea Inc. (US), Visiopharm (Denmark), aetherAI (Taiwan), Aiosyn (Netherlands), Paige AI, Inc. (US), Proscia Inc. (US), PathAI, Inc. (US), Tempus Labs, Inc. (US), Konfoong Biotech International Co., Ltd. (China), DoMore Diagnostics AS (Norway), Verily Life Sciences, LLC (US), deepPath (US), and 4D Path Inc (US).

Research Coverage:

The report analyses the AI in pathology market. It aims to estimate the market size and future growth potential of various market segments based on components, neural network, application, end-user, and region. The report also provides a competitive analysis of the key players in this market, along with their company profiles, product offerings, recent developments, and key market strategies.

Reasons to Buy the Report 

This report will enrich established firms and new entrants/smaller firms to gauge the market's pulse, which, in turn, would help them garner a greater share of the market. Firms purchasing the report could use one or a combination of the below-mentioned strategies to strengthen their positions in the market.

This report provides insights on:

  • Analysis of key drivers: (Increasing adoption of AI in pathology to enhance lab efficiency, growing digitization of pathology, augmenting telepathology with AI advancements, rise in cases of misdiagnoses, and technology advancements in deep learning enabling synergy with artificial intelligence (AI) in pathology space), restraints (high cost of digital pathology systems, lack of skilled AI workforce and ambiguous regulatory guidelines for medical software), opportunities (growing demand of personalized medicines, shortage of skilled pathologists), and challenges (lack of sufficient data to train the AI algorithms, data privacy concerns, lack of transparency and interoperability) influencing the growth of the AI in pathology market. 
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in pathology market.
  • Market Development: Comprehensive information on the lucrative emerging markets, component, neural network, applications, end-user, and region.
  • Market Diversification: Exhaustive information about the product portfolios, growing geographies, recent developments, and investments in the AI in pathology market. 
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, product offerings, and capabilities of the leading players in the AI in pathology market like Koninklijke Philips N.V. (Netherlands), F. Hoffmann-La Roche Ltd (Switzerland), Hologic, Inc. (US).

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Markets Covered
1.3.1 AI in Pathology Market Segmentation, by Region
1.3.2 Years Considered
1.4 Currency Considered
1.5 Stakeholders
1.6 Recession Impact

2 Research Methodology
2.1 Research Approach
Figure 1 Research Design
2.1.1 Secondary Research
2.1.1.1 Key Data from Secondary Sources
2.1.2 Primary Data
Figure 2 Primary Sources
2.1.2.1 Key Data from Primary Sources
2.1.2.2 Insights from Primary Experts
Figure 3 Breakdown of Primary Interviews: by Company Type, Designation, and Region
2.2 Market Size Estimation
Figure 4 Supply-Side Market Size Estimation: Revenue Share Analysis
Figure 5 AI in Pathology Market: CAGR Projections
2.2.1 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
Figure 6 Data Triangulation Methodology
2.4 Market Ranking Analysis
2.5 Study Assumptions
2.6 Limitations
2.6.1 Methodology-Related Limitations
2.6.2 Scope-Related Limitations
2.7 Risk Assessment
Table 1 AI in Pathology Market: Risk Assessment
2.8 Recession Impact Analysis

3 Executive Summary
Figure 7 AI in Pathology Market, by Component, 2023 Vs. 2028 (USD Million)
Figure 8 AI in Pathology Market, by Neural Network, 2023 Vs. 2028 (USD Million)
Figure 9 AI in Pathology Market, by Application, 2023 Vs. 2028 (USD Million)
Figure 10 AI in Pathology Market, by End-user, 2023 Vs. 2028 (USD Million)
Figure 11 Geographical Snapshot of AI in Pathology Market

4 Premium Insights
4.1 AI in Pathology Market Overview
Figure 12 Growing Digitization of Pathology to Drive Market Growth
4.2 Asia-Pacific: AI in Pathology Market, by Component and Country
Figure 13 Software Segment to Command Largest Share of Asia-Pacific Market in 2023
4.3 Geographic Snapshot of AI in Pathology Market
Figure 14 Market in UK to Grow at Highest CAGR
4.4 Regional Mix: AI in Pathology Market
Figure 15 North America to Witness Highest Growth During Forecast Period
4.5 AI in Pathology Market: Developed Vs. Developing Markets
Figure 16 Developed Markets to Register Higher Growth Rates

5 Market Overview
5.1 Introduction
5.2 Market Dynamics
Figure 17 AI in Pathology Market: Drivers, Restraints, Opportunities, and Challenges
Table 2 Drivers, Restraints, Opportunities, and Challenges: Impact Analysis
5.2.1 Drivers
5.2.1.1 Increasing Number of Partnerships and Collaborations Among Players to Develop and Launch Advanced AI in Pathology Solutions
5.2.1.2 Growing Digitalization of Pathology
5.2.1.3 Growing Cases of Misdiagnoses
5.2.1.4 Augmenting Telepathology with AI Advancements
5.2.1.5 Technological Advancements in Deep Learning
5.2.2 Restraints
5.2.2.1 High Cost of Digital Pathology Systems
5.2.2.2 Shortage of Skilled AI Workforce and Ambiguous Regulatory Guidelines for Medical Software
5.2.3 Opportunities
5.2.3.1 Growing Demand for Personalized Medicine
Table 3 Us: Growth in Number of Personalized Medicines (2008-2020)
Figure 18 Fda-Approved Personalized Medicines, 2015-2021
5.2.3.2 Shortage of Skilled Pathologists
Table 4 Number of Inhabitants Per Pathologist, by Country, 2020
5.2.4 Challenges
5.2.4.1 Lack of Sufficient Data to Train AI Algorithms
5.2.4.2 Data Privacy Concerns
Figure 19 Healthcare Breaches Reported to US Department of Health and Human Services, 2021
5.2.4.3 Lack of Transparency and Interoperability

6 Industry Insights
6.1 Industry Trends
6.1.1 Improved Quality Control with Artificial Intelligence
6.1.2 Transformation in Staining Techniques
6.2 Increasing Investments for AI in Pathology
6.3 Technology Analysis
6.3.1 Machine Learning (Ml) and Deep Learning (Dl)
6.3.2 Image Analysis and Computer Vision
6.3.3 Natural Language Processing (Nlp)
6.3.4 Data Integration and Fusion
6.3.5 Augmented Pathology and Decision Support Systems
6.3.6 Predictive Analytics and Prognostic Models
6.3.7 Cloud Computing and Big Data Infrastructure
6.4 Porter's Five Forces Analysis
Figure 20 AI in Pathology Market Marked by Moderate to High Competitive Intensity Among Market Players
Table 5 AI in Pathology Market: Porter's Five Forces Analysis
6.4.1 Threat of New Entrants
6.4.2 Threat of Substitutes
6.4.3 Bargaining Power of Suppliers
6.4.4 Bargaining Power of Buyers
6.4.5 Intensity of Competitive Rivalry
6.5 Regulatory Analysis
6.5.1 Regulatory Bodies, Government Agencies, and Other Organizations
Table 6 Regulatory Bodies, Government Agencies, and Other Organizations
6.5.2 Regulatory Analysis, by Region
6.5.2.1 North America
6.5.2.1.1 US
Table 7 US Fda: Medical Device Classification
Table 8 Us: Medical Device Regulatory Approval Process
6.5.2.1.2 Canada
Table 9 Canada: Medical Device Regulatory Approval Process
6.5.2.2 Europe
Table 10 Europe: Classification of Ivd Devices
Figure 21 Europe: Ivdr Timeline
6.5.2.3 Asia-Pacific
6.5.2.3.1 Japan
Table 11 Japan: Medical Device Classification Under Pmda
6.5.2.3.2 China
Table 12 China: Classification of Medical Devices
6.6 Value-Chain Analysis
Figure 22 Value-Chain Analysis (2022)
6.7 Ecosystem
Figure 23 AI in Pathology Market: Ecosystem
6.8 Patent Analysis
6.8.1 Patent Publication Trends for AI in Pathology Solutions
Figure 24 Number of Patents Published, January 2013 to May 2023
6.8.2 Jurisdiction and Top Applicant Analysis
Figure 25 Top Applicants and Owners (Companies/Institutions) for AI in Pathology Patents (January 2013 to May 2023)
Figure 26 Top Applicant Countries/Regions for AI in Pathology Patents (January 2013 to May 2023)
6.9 Key Conferences and Events, 2023-2024
Table 13 AI in Pathology Market: List of Conferences and Events
6.10 Case Study Analysis
6.10.1 Case Study 1: Pathai Uses Pytorch to Improve Patient Outcomes with AI-Powered Pathology
6.10.2 Case Study 2: Combating Cervical Cancer with AI
6.11 Pricing Analysis
6.12 Key Stakeholders and Buying Criteria
6.12.1 Key Stakeholders in Buying Process
Figure 27 Influence of Stakeholders on Buying Process of AI in Pathology Products
Table 14 Influence of Stakeholders on Buying Process of AI in Pathology Products (%)
6.12.2 Buying Criteria
Figure 28 Key Buying Criteria for AI in Pathology Products
Table 15 Key Buying Criteria for AI in Pathology Products

7 AI in Pathology Market, by Component
7.1 Introduction
Table 16 AI in Pathology Market, by Component, 2021-2028 (USD Million)
7.2 Software
7.2.1 Intelligent Software Helps Reduce Errors Caused by Standard Pathology Approaches
Table 17 AI in Pathology Software Market, by Country, 2021-2028 (USD Million)
7.3 Scanners
7.3.1 Use of AI in Scanners Enhances Scanning Process and Improves Image Quality
Table 18 AI in Pathology Scanners Market, by Country, 2021-2028 (USD Million)

8 AI in Pathology Market, by Neural Network
8.1 Introduction
Table 19 AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
8.2 Convolutional Neural Networks
8.2.1 Convolutional Neural Networks Segment to Account for Largest Market Share During Forecast Period
Table 20 AI in Pathology Market for Convolutional Neural Networks, by Country, 2021-2028 (USD Million)
8.3 Generative Adversarial Networks
8.3.1 Generated Synthetic Pathology Images Closely Resemble Real Pathology
Table 21 AI in Pathology Market for Generative Adversarial Networks, by Country, 2021-2028 (USD Million)
8.4 Recurrent Neural Networks
8.4.1 Ability of Recurrent Neural Networks to Analyze Time-Dependent Patterns to Propel Growth
Table 22 AI in Pathology Market for Recurrent Neural Networks, by Country, 2021-2028 (USD Million)
8.5 Other Neural Networks
Table 23 AI in Pathology Market for Other Neural Networks, by Country, 2021-2028 (USD Million)

9 AI in Pathology Market, by Application
9.1 Introduction
Table 24 AI in Pathology Market, by Application, 2021-2028 (USD Million)
9.2 Drug Discovery
9.2.1 Drug Discovery Segment to Account for Largest Market Share During Forecast Period
Table 25 Applications of AI in Pathology in Drug Discovery
Table 26 AI in Pathology Market for Drug Discovery, by Country, 2021-2028 (USD Million)
9.3 Disease Diagnosis and Prognosis
9.3.1 Growing Use of AI and Ml for Diagnostic and Prognostic Purposes to Propel Growth
Table 27 AI in Pathology Market for Disease Diagnosis and Prognosis, by Country, 2021-2028 (USD Million)
9.4 Clinical Workflow Optimization
9.4.1 Advantages of AI in Enhancing Clinical Workflows by Automating Repetitive Tasks to Drive Growth
Table 28 AI in Pathology Market for Clinical Workflow Optimization, by Country, 2021-2028 (USD Million)
9.5 Training and Education
9.5.1 Applications in Improving Training and Education Provided to Pathologists in Academic Institutes to Drive Growth
Table 29 AI in Pathology Market for Training and Education, by Country, 2021-2028 (USD Million)

10 AI in Pathology Market, by End-user
10.1 Introduction
Table 30 AI in Pathology Market, by End-user, 2021-2028 (USD Million)
10.2 Pharmaceutical and Biotechnology Companies
10.2.1 Rising Use of AI-Based Digital Pathology Solutions in Drug Development to Drive Growth
Table 31 AI in Pathology Market for Pharmaceutical and Biotechnology Companies, by Country, 2021-2028 (USD Million)
10.3 Hospitals and Reference Laboratories
10.3.1 Rising Number of Hospitalizations Due to Increasing Incidence of Infectious Diseases to Drive Growth
Table 32 AI in Pathology Market for Hospitals and Reference Laboratories, by Country, 2021-2028 (USD Million)
10.4 Academic and Research Institutes
10.4.1 Increasing Investments for Research in Disease Diagnosis to Support Growth
Table 33 AI in Pathology Market for Academic and Research Institutes, by Country, 2021-2028 (USD Million)

11 AI in Pathology Market, by Region
11.1 Introduction
Table 34 AI in Pathology Market, by Region, 2021-2028 (USD Million)
11.2 North America
Figure 29 North America: AI in Pathology Market Snapshot
Table 35 North America: AI in Pathology Market, by Country, 2021-2028 (USD Million)
Table 36 North America: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 37 North America: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 38 North America: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 39 North America: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.2.1 North America: Recession Impact
11.2.2 US
11.2.2.1 US to Dominate North American Market During Forecast Period
Table 40 Us: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 41 Us: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 42 Us: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 43 Us: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.2.3 Canada
11.2.3.1 Increasing Research in Pathology to Drive Growth
Table 44 Canada: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 45 Canada: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 46 Canada: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 47 Canada: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.3 Europe
Table 48 Europe: AI in Pathology Market, by Country, 2021-2028 (USD Million)
Table 49 Europe: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 50 Europe: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 51 Europe: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 52 Europe: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.3.1 Europe: Recession Impact
11.3.2 UK
11.3.2.1 Adoption of AI in Pathology for Drug Discovery to Fuel Growth
Table 53 Uk: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 54 Uk: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 55 Uk: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 56 Uk: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.3.3 Germany
11.3.3.1 Availability of Funding for AI Initiatives to Boost Growth
Table 57 Germany: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 58 Germany: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 59 Germany: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 60 Germany: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.3.4 France
11.3.4.1 Increasing Government Funding and Favorable Insurance System to Drive Growth
Table 61 France: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 62 France: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 63 France: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 64 France: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.3.5 Rest of Europe
Table 65 Rest of Europe: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 66 Rest of Europe: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 67 Rest of Europe: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 68 Rest of Europe: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.4 Asia-Pacific
Table 69 Asia-Pacific: AI in Pathology Market, by Country, 2021-2028 (USD Million)
Table 70 Asia-Pacific: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 71 Asia-Pacific: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 72 Asia-Pacific: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 73 Asia-Pacific: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.4.1 Asia-Pacific: Recession Impact
11.4.2 China
11.4.2.1 Rising Geriatric Population to Drive Demand for AI in Pathology Products
Table 74 China: Cancer Incidence, by Cancer Type, 2020 Vs. 2040
Table 75 China: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 76 China: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 77 China: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 78 China: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.4.3 Japan
11.4.3.1 Advanced Healthcare Infrastructure to Support Market Growth
Table 79 Japan: Cancer Incidence, by Cancer Type, 2020 Vs. 2040
Table 80 Japan: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 81 Japan: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 82 Japan: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 83 Japan: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.4.4 Rest of Asia-Pacific
Table 84 Rest of Asia-Pacific: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 85 Rest of Asia-Pacific: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 86 Rest of Asia-Pacific: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 87 Rest of Asia-Pacific: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.5 Latin America
Table 88 Latin America: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 89 Latin America: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 90 Latin America: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 91 Latin America: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.5.1 Latin America: Recession Impact
11.6 Middle East & Africa
Table 92 Middle East & Africa: AI in Pathology Market, by Component, 2021-2028 (USD Million)
Table 93 Middle East & Africa: AI in Pathology Market, by Neural Network, 2021-2028 (USD Million)
Table 94 Middle East & Africa: AI in Pathology Market, by Application, 2021-2028 (USD Million)
Table 95 Middle East & Africa: AI in Pathology Market, by End-user, 2021-2028 (USD Million)
11.6.1 Middle East & Africa: Recession Impact

12 Competitive Landscape
12.1 Introduction
12.2 Strategies of Key Players/Right to Win
Figure 30 Key Developments Undertaken by Major Players Between January 2020 and May 2023
12.3 Revenue Analysis of Top Market Players, 2022
Figure 31 Revenue Analysis of Key Players
12.4 Market Ranking Analysis
Figure 32 AI in Pathology Market Ranking Analysis of Key Players (2022)
12.5 Competitive Benchmarking
Table 96 Footprint Analysis of Companies
Table 97 Product Footprint Analysis (25 Companies)
Table 98 Application Footprint Analysis (25 Companies)
Table 99 Regional Footprint Analysis (25 Companies)
12.6 Company Evaluation Matrix
12.6.1 Stars
12.6.2 Pervasive Players
12.6.3 Emerging Leaders
12.6.4 Participants
Figure 33 AI in Pathology Market: Company Evaluation Matrix, 2022
12.7 Company Evaluation Matrix for Start-Up/Sme Players
12.7.1 Progressive Companies
12.7.2 Dynamic Companies
12.7.3 Starting Blocks
12.7.4 Responsive Companies
Figure 34 AI in Pathology Market: Company Evaluation Matrix for Start-Up/Sme Players, 2022
12.8 Competitive Scenario and Trends
12.8.1 Product Launches and Approvals
Table 100 AI in Pathology Market: Product Launches and Approvals, 2020-2023
12.8.2 Deals
Table 101 AI in Pathology Market: Deals, 2020-2023
12.8.3 Other Developments
Table 102 AI in Pathology Market: Other Developments, 2020-2023

13 Company Profiles
13.1 Key Players
(Business Overview, Products/Services/Solutions Offered, Analyst's View, Key Strengths and Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats, Recent Developments)*
13.1.1 Koninklijke Philips N.V.
Table 103 Koninklijke Philips N.V.: Business Overview
Figure 35 Koninklijke Philips N.V.: Company Snapshot (2022)
13.1.2 F. Hoffmann-La Roche Ltd.
Table 104 F. Hoffmann-La Roche Ltd.: Business Overview
Figure 36 F. Hoffmann-La Roche Ltd.: Company Snapshot (2022)
13.1.3 Hologic, Inc.
Table 105 Hologic, Inc.: Business Overview
Figure 37 Hologic, Inc.: Company Snapshot (2022)
13.1.4 Akoya Biosciences, Inc.
Table 106 Akoya Biosciences, Inc.: Business Overview
Figure 38 Akoya Biosciences, Inc.: Company Snapshot (2022)
13.1.5 Aiforia Technologies plc
Table 107 Aiforia Technologies plc: Business Overview
Figure 39 Aiforia Technologies plc: Company Snapshot (2022)
13.1.6 Indica Labs Inc.
Table 108 Indica Labs Inc.: Business Overview
13.1.7 Optrascan, Inc.
Table 109 Optrascan, Inc.: Business Overview
13.1.8 Ibex Medical Analytics Ltd.
Table 110 Ibex Medical Analytics Ltd.: Business Overview
13.1.9 Mindpeak GmbH
Table 111 Mindpeak Gmbh: Business Overview
13.1.10 Tribun Health
Table 112 Tribun Health: Business Overview
13.1.11 Techcyte, Inc.
Table 113 Techcyte, Inc.: Business Overview
13.1.12 Deep Bio Inc.
Table 114 Deep Bio Inc.: Business Overview
13.1.13 Lumea Inc.
Table 115 Lumea Inc.: Business Overview
13.1.14 Visiopharm
Table 116 Visiopharm: Business Overview
13.1.15 Aether AI
Table 117 Aether AI: Business Overview
13.1.16 Aiosyn
Table 118 Aiosyn: Business Overview
13.1.17 Paige AI, Inc.
Table 119 Paige AI, Inc.: Business Overview
13.1.18 Proscia, Inc.
Table 120 Proscia, Inc.: Business Overview
13.1.19 Pathai, Inc.
Table 121 Pathai, Inc.: Business Overview
13.1.20 Tempus Labs, Inc.
Table 122 Tempus Labs, Inc.: Business Overview
*Business Overview, Products/Services/Solutions Offered, Analyst's View, Key Strengths and Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats, Recent Developments Might Not be Captured in Case of Unlisted Companies.
13.2 Other Players
13.2.1 Konfoong Bioinformation Tech Co. Ltd.
13.2.2 Domore Diagnostics as
13.2.3 Verily Life Sciences, LLC
13.2.4 Deeppath
13.2.5 4D Path Inc.

14 Appendix
14.1 Discussion Guide
14.2 Knowledgestore: The Subscription Portal
14.3 Customization Options
14.4 Related Reports
14.5 Author Details

Companies Mentioned

  • 4D Path Inc.
  • Aether AI
  • Aiforia Technologies plc
  • Aiosyn
  • Akoya Biosciences, Inc.
  • Deep Bio Inc.
  • Deeppath
  • Domore Diagnostics as
  • F. Hoffmann-La Roche Ltd.
  • Hologic, Inc.
  • Ibex Medical Analytics Ltd.
  • Indica Labs Inc.
  • Konfoong Bioinformation Tech Co. Ltd.
  • Koninklijke Philips N.V.
  • Lumea Inc.
  • Mindpeak GmbH
  • Optrascan, Inc.
  • Paige AI, Inc.
  • Pathai, Inc.
  • Proscia, Inc.
  • Techcyte, Inc.
  • Tempus Labs, Inc.
  • Tribun Health
  • Verily Life Sciences, LLC
  • Visiopharm

Methodology

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Table Information

Report AttributeDetails
No. of Pages199
PublishedJuly 2023
Forecast Period2023 - 2028
Estimated Market Value ( USD ) in 2023 $ 24 Million
Forecasted Market Value ( USD ) by 2028 $ 49 Million
Compound Annual Growth Rate15.6%
Regions CoveredGlobal
No. of Companies Mentioned25

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North America AI in Pathology Market Size, Share & Trends Analysis Report By Neural Network, By Application (Drug Discovery, Disease Diagnosis & Prognosis, Clinical Workflow, and Others), By End User, By Component, By Country and Growth Forecast, 2023 - 2030

  • Report
  • 126 Pages
  • North America
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Artificial Intelligence in Pathology. Principles and Applications. Edition No. 2 - Product Image

Artificial Intelligence in Pathology. Principles and Applications. Edition No. 2

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Artificial Intelligence (AI) in Cancer Diagnostics Market - Forecasts from 2023 to 2028 - Product Image

Artificial Intelligence (AI) in Cancer Diagnostics Market - Forecasts from 2023 to 2028

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About the AI Pathology Market

The AI Pathology market is a subset of the Diagnostics industry, focusing on the use of artificial intelligence (AI) to aid in the diagnosis of diseases. AI Pathology is a rapidly growing field, with AI-based solutions being used to improve accuracy and speed of diagnosis, as well as to reduce the cost of pathology services. AI Pathology solutions are used to analyze medical images, such as histology slides, to detect and classify diseases. AI Pathology solutions can also be used to detect and classify rare diseases, which can be difficult to diagnose using traditional methods. AI Pathology solutions are being used in a variety of healthcare settings, including hospitals, clinics, and research laboratories. AI Pathology solutions are also being used to improve the accuracy of diagnosis and to reduce the time required for diagnosis. Some companies in the AI Pathology market include PathAI, Paige.AI, Viz.ai, and Arterys. Show Less Read more

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