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AI-Powered Digital Pathology Diagnostics Market

完整報告名稱與涵蓋範圍
AI-Powered Digital Pathology Diagnostics Market Size, Share & Trends Analysis Report, By Software Type (Cancer Detection, Grading and Screening Algorithms, Biomarker Quantification and Companion Diagnostic AI, Quality Control, Triage and Workflow Prioritization Tools, Foundation Models and Multimodal Pathology Platforms), By Application (Prostate, Breast and Gastrointestinal Cancer Diagnosis, Immunohistochemistry and Biomarker Scoring, Hematopathology, Cytology and Other Specialties, Drug Development and Clinical Trial Analysis), By Deployment (Cloud-Based, On-Premise and Scanner-Integrated), By End User, By Region, and Segment Forecasts, 2026-2035

報告摘要

The AI-powered digital pathology diagnostics market covers algorithms and platforms that analyse whole slide images to detect, grade and screen cancer, quantify biomarkers and support companion diagnostics, triage and prioritise workflow and, increasingly, apply foundation models across tissue types, deployed in clinical laboratories and pharmaceutical research. Whole slide scanners and image management systems are covered in the digital pathology study and excluded here. The category has matured from research tools to cleared clinical software, with prostate biopsy detection and breast biomarker scoring among the first approved applications and a growing number of algorithms available through open platforms integrated with scanner and image management ecosystems. Adoption is driven by pathologist shortages, the need for reproducible biomarker quantification for targeted therapies, quality assurance and the promise of foundation models trained on millions of slides that generalise across cancers and predict molecular status and outcomes. Pharmaceutical companies use AI pathology for trial enrichment, biomarker discovery and companion diagnostic development, while laboratories require reimbursement, validation and workflow integration to justify deployment. North America and Europe lead clinical use, with South Korea, Japan, China and India expanding through domestic AI companies and hospital digitisation. Competition involves AI pathology specialists, diagnostic and imaging leaders with algorithm marketplaces and precision medicine companies integrating pathology with genomics. The InsightAce study provides US$ revenue forecasts for every software type, application, deployment and end user and regional segment over 2026-2035, plus segment trend analysis, competitive landscape mapping and profiles of leading participants.

授權報價

Single User$4,500 USD
Enterprise / Global Site Licence$9,500 USD

目錄 Table of Contents

Chapter 1. Methodology and Scope 1.1. Research Methodology 1.2. Research Scope & Assumptions Chapter 2. Executive Summary Chapter 3. Global AI-Powered Digital Pathology Diagnostics Market Snapshot Chapter 4. Global AI-Powered Digital Pathology Diagnostics Market Variables, Trends & Scope 4.1. Market Segmentation & Scope 4.2. Market Drivers 4.3. Market Challenges 4.4. Emerging Trends 4.5. Investment and Funding Analysis 4.6. Industry Analysis - Porter's Five Forces Analysis 4.7. Competitive Landscape and Market Positioning 4.8. Market Opportunity Analysis Chapter 5. Market Segmentation 1: By Software Type Estimates & Trend Analysis 5.1. Software Type & Market Share, 2026 & 2035 5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Software Type: 5.2.1. Cancer Detection, Grading and Screening Algorithms 5.2.2. Biomarker Quantification and Companion Diagnostic AI 5.2.3. Quality Control, Triage and Workflow Prioritization Tools 5.2.4. Foundation Models and Multimodal Pathology Platforms Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis 6.1. Application & Market Share, 2026 & 2035 6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Application: 6.2.1. Prostate, Breast and Gastrointestinal Cancer Diagnosis 6.2.2. Immunohistochemistry and Biomarker Scoring 6.2.3. Hematopathology, Cytology and Other Specialties 6.2.4. Drug Development and Clinical Trial Analysis Chapter 7. Market Segmentation 3: By Deployment Estimates & Trend Analysis 7.1. Deployment & Market Share, 2026 & 2035 7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Deployment: 7.2.1. Cloud-Based 7.2.2. On-Premise and Scanner-Integrated Chapter 8. Market Segmentation 4: By End User Estimates & Trend Analysis 8.1. End User & Market Share, 2026 & 2035 8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by End User: 8.2.1. Hospitals and Reference Laboratories 8.2.2. Pharmaceutical and Biotechnology Companies 8.2.3. Academic and Research Institutions Chapter 9. AI-Powered Digital Pathology Diagnostics Market: Regional Estimates & Trend Analysis 9.1. North America 9.1.1. United States 9.1.2. Canada 9.2. Europe 9.2.1. Germany 9.2.2. United Kingdom 9.2.3. France 9.2.4. Italy 9.2.5. Spain 9.2.6. Rest of Europe 9.3. Asia Pacific 9.3.1. China 9.3.2. Japan 9.3.3. India 9.3.4. South Korea 9.3.5. Australia 9.3.6. Southeast Asia 9.3.7. Rest of Asia Pacific 9.4. Latin America 9.4.1. Brazil 9.4.2. Mexico 9.4.3. Rest of Latin America 9.5. Middle East & Africa 9.5.1. GCC Countries 9.5.2. South Africa 9.5.3. Rest of Middle East & Africa Chapter 10. Competitive Landscape 10.1. Company Market Positioning Analysis 10.2. Strategic Developments (Partnerships, Expansions, Product Launches, M&A) Chapter 11. Company Profiles 11.1. Tempus AI, Inc. (Paige) 11.2. Ibex Medical Analytics Ltd. 11.3. PathAI, Inc. 11.4. Proscia Inc. 11.5. Roche Holding AG (Ventana) 11.6. Philips 11.7. Leica Biosystems (Danaher) 11.8. Hamamatsu Photonics K.K. 11.9. Indica Labs, Inc. 11.10. Mindpeak GmbH 11.11. Aiforia Technologies Plc 11.12. Owkin, Inc. 11.13. Visiopharm A/S 11.14. Deep Bio Inc. 11.15. Lunit Inc.

圖表清單 List of Tables & Figures

Table 1. Global AI-Powered Digital Pathology Diagnostics Market Revenue Forecast by Software Type, 2026-2035 (US$ Mn) Figure 1. Global AI-Powered Digital Pathology Diagnostics Market Segmentation and Scope Overview Table 2. Global AI-Powered Digital Pathology Diagnostics Market Revenue Forecast by Application, 2026-2035 (US$ Mn) Figure 2. Global AI-Powered Digital Pathology Diagnostics Market Share by Software Type, 2026 & 2035 Table 3. Global AI-Powered Digital Pathology Diagnostics Market Revenue Forecast by Deployment, 2026-2035 (US$ Mn) Figure 3. AI Pathology Applications from Cancer Detection to Biomarker Scoring and Foundation Models Table 4. Global AI-Powered Digital Pathology Diagnostics Market Revenue Forecast by End User, 2026-2035 (US$ Mn) Figure 4. Regulatory Clearances and Clinical Deployments of Pathology AI by Region, 2026 Table 5. Global AI-Powered Digital Pathology Diagnostics Market Revenue Forecast by Region, 2026-2035 (US$ Mn) Figure 5. Asia Pacific AI-Powered Digital Pathology Diagnostics Growth Opportunity Analysis Table 6. North America AI-Powered Digital Pathology Diagnostics Market Revenue by Country, 2026-2035 (US$ Mn) Figure 6. Competitive Positioning of Key AI-Powered Digital Pathology Diagnostics Market Participants Table 7. Europe AI-Powered Digital Pathology Diagnostics Market Revenue by Country, 2026-2035 (US$ Mn) Figure 7. Porter's Five Forces Analysis of the Global AI-Powered Digital Pathology Diagnostics Market Table 8. Asia Pacific AI-Powered Digital Pathology Diagnostics Market Revenue by Country, 2026-2035 (US$ Mn) Figure 8. Pharmaceutical Use of AI Pathology in Trial Enrichment and Companion Diagnostic Development Table 9. Strategic Developments of Leading AI-Powered Digital Pathology Diagnostics Market Participants, 2023-2026

提及公司

Tempus AI, Inc. (Paige)Ibex Medical Analytics Ltd.PathAI, Inc.Proscia Inc.Roche Holding AG (Ventana)PhilipsLeica Biosystems (Danaher)Hamamatsu Photonics K.K.Indica Labs, Inc.Mindpeak GmbHAiforia Technologies PlcOwkin, Inc.Visiopharm A/SDeep Bio Inc.Lunit Inc.

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