2026 Global: Artificial Intelligence (Ai) In Pathology Market-Competitive Review (2032) report
Description
The 2026 Global: Artificial Intelligence (Ai) In Pathology Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in pathology market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in pathology market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Artificial Intelligence (AI) in Pathology market is dominated by ten major companies leveraging advanced imaging, machine learning, and analytics to enhance diagnostics, particularly in oncology and precision medicine. PathAI leads with its platform applying deep learning to tissue analysis, reducing errors and supporting biomarker discovery for clinical trials and pharma partnerships. Proscia Inc. excels in scalable software with deep learning for pattern recognition, enabling high-throughput labs and research interoperability. Visiopharm A/S provides AI-driven image analysis for oncology and immunology, standardizing diagnostics across global networks. Indica Labs LLC offers HALO AI for rapid, accurate image evaluation, trusted by pharma and clinical labs transitioning to digital workflows. Sectra AB delivers secure imaging solutions with AI analytics for telepathology and multi-site collaboration in hospitals. These firms integrate AI to automate repetitive tasks, boost accuracy, and streamline workflows amid rising diagnostic demands and pathologist shortages.
Danaher Corporation, through subsidiaries like Leica Biosystems, advances high-throughput digital pathology with integrated hardware, software, and AI for scalable precision labs. Roche Holding AG tailors AI analytics for oncology and infectious diseases, emphasizing interoperability and efficient global diagnostics. Koninklijke Philips N.V. pioneers cloud-based AI platforms for remote collaboration and clinical standardization in hospital ecosystems. Hamamatsu Photonics K.K. specializes in high-resolution brightfield and fluorescence scanners, foundational for AI-enhanced pathology instrumentation. Aignostics, originating from Charité Berlin, focuses on computational pathology for pharma research, trials, and companion diagnostics using interdisciplinary AI expertise. This group represents established giants and agile innovators driving market growth through R&D, acquisitions, and FDA-cleared tools.
Additional leaders like Deep Bio, AIRA Matrix, Mindpeak, and Ibex further expand the ecosystem with specialized AI for prostate cancer efficiency, reproducible results, and automated histotyping to minimize over-treatment. Collectively, these ten companies—PathAI, Proscia, Visiopharm, Indica Labs, Sectra, Danaher, Roche, Philips, Hamamatsu, and Aignostics—command the market by addressing key challenges: data integration, real-time insights, and regulatory compliance. Their solutions empower pathologists, accelerate drug development, and improve patient outcomes, with projections indicating sustained expansion through 2025 via AI-pathology synergies.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in pathology market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in pathology market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Artificial Intelligence (AI) in Pathology market is dominated by ten major companies leveraging advanced imaging, machine learning, and analytics to enhance diagnostics, particularly in oncology and precision medicine. PathAI leads with its platform applying deep learning to tissue analysis, reducing errors and supporting biomarker discovery for clinical trials and pharma partnerships. Proscia Inc. excels in scalable software with deep learning for pattern recognition, enabling high-throughput labs and research interoperability. Visiopharm A/S provides AI-driven image analysis for oncology and immunology, standardizing diagnostics across global networks. Indica Labs LLC offers HALO AI for rapid, accurate image evaluation, trusted by pharma and clinical labs transitioning to digital workflows. Sectra AB delivers secure imaging solutions with AI analytics for telepathology and multi-site collaboration in hospitals. These firms integrate AI to automate repetitive tasks, boost accuracy, and streamline workflows amid rising diagnostic demands and pathologist shortages.
Danaher Corporation, through subsidiaries like Leica Biosystems, advances high-throughput digital pathology with integrated hardware, software, and AI for scalable precision labs. Roche Holding AG tailors AI analytics for oncology and infectious diseases, emphasizing interoperability and efficient global diagnostics. Koninklijke Philips N.V. pioneers cloud-based AI platforms for remote collaboration and clinical standardization in hospital ecosystems. Hamamatsu Photonics K.K. specializes in high-resolution brightfield and fluorescence scanners, foundational for AI-enhanced pathology instrumentation. Aignostics, originating from Charité Berlin, focuses on computational pathology for pharma research, trials, and companion diagnostics using interdisciplinary AI expertise. This group represents established giants and agile innovators driving market growth through R&D, acquisitions, and FDA-cleared tools.
Additional leaders like Deep Bio, AIRA Matrix, Mindpeak, and Ibex further expand the ecosystem with specialized AI for prostate cancer efficiency, reproducible results, and automated histotyping to minimize over-treatment. Collectively, these ten companies—PathAI, Proscia, Visiopharm, Indica Labs, Sectra, Danaher, Roche, Philips, Hamamatsu, and Aignostics—command the market by addressing key challenges: data integration, real-time insights, and regulatory compliance. Their solutions empower pathologists, accelerate drug development, and improve patient outcomes, with projections indicating sustained expansion through 2025 via AI-pathology synergies.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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