AI in Endoscopy Market
完整報告名稱與涵蓋範圍
AI in Endoscopy Market Size, Share & Trends Analysis Report, By Application (Computer-Aided Detection and Characterization (Polyps, Neoplasia and Dysplasia), AI-Powered Reporting, Documentation and Workflow Automation, Quality Monitoring, Blind-Spot Detection and Training, Capsule Endoscopy and Video Analysis AI), By Procedure Type (Colonoscopy, Upper Gastrointestinal Endoscopy, Bronchoscopy, Cystoscopy and Other Endoscopic Procedures), By Deployment (Integrated with Endoscopy Systems, Standalone and Cloud-Based Platforms), By End User, By Region, and Segment Forecasts, 2026-2035
報告摘要
The AI in endoscopy market covers computer-aided detection and characterisation software, AI-powered reporting and workflow automation, quality monitoring and training tools and capsule and video analysis AI applied to colonoscopy, upper gastrointestinal endoscopy and other endoscopic procedures, delivered integrated with endoscopy systems or as standalone platforms. Endoscopes, processors and robotic endoscopy platforms are excluded; a separate InsightAce study addresses AI-assisted colonoscopy software in greater depth.
Adoption is driven by evidence that real-time detection raises adenoma detection rates, by regulatory clearances of detection and characterisation devices in major markets, by reimbursement recognition in Japan and emerging codes elsewhere and by endoscopy unit pressure to document quality metrics and reduce reporting time. Vendors are extending algorithms from polyp detection to Barrett's esophagus, gastric cancer and inflammatory bowel disease scoring, automating procedure reports and photo documentation, and monitoring mucosal coverage and withdrawal time to standardise quality. Endoscope manufacturers embed AI in processors and cloud platforms, while independent developers pursue system-agnostic software. Reimbursement, workflow integration, evidence for cost-effectiveness and the debate over overdiagnosis of diminutive polyps shape uptake.
Japan, Europe and North America lead adoption, with China, South Korea and Australia expanding through domestic developers and screening programs. Competition involves endoscopy system manufacturers with embedded AI, gastroenterology AI specialists and technology groups supplying algorithms.
The InsightAce study delivers revenue forecasts in US$ across all application, procedure type, deployment and end user and regional segments for 2026-2035, alongside segment-level trend analysis, competitive landscape assessment and detailed company profiling.
授權報價
| Single User | $4,500 USD |
| Enterprise / Global Site Licence | $9,500 USD |
目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Endoscopy Market Snapshot
Chapter 4. Global AI in Endoscopy Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Market Drivers
4.3. Market Challenges
4.4. Emerging Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis - Porter's Five Forces Analysis
4.7. Competitive Landscape and Market Positioning
4.8. Market Opportunity Analysis
Chapter 5. Market Segmentation 1: By Application Estimates & Trend Analysis
5.1. Application & Market Share, 2026 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Application:
5.2.1. Computer-Aided Detection and Characterization (Polyps, Neoplasia and Dysplasia)
5.2.2. AI-Powered Reporting, Documentation and Workflow Automation
5.2.3. Quality Monitoring, Blind-Spot Detection and Training
5.2.4. Capsule Endoscopy and Video Analysis AI
Chapter 6. Market Segmentation 2: By Procedure Type Estimates & Trend Analysis
6.1. Procedure Type & Market Share, 2026 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Procedure Type:
6.2.1. Colonoscopy
6.2.2. Upper Gastrointestinal Endoscopy
6.2.3. Bronchoscopy, Cystoscopy and Other Endoscopic Procedures
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. Integrated with Endoscopy Systems
7.2.2. Standalone and Cloud-Based Platforms
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
8.2.2. Ambulatory Endoscopy Centers
8.2.3. Academic and Research Institutions
Chapter 9. AI in Endoscopy 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. Medtronic plc (GI Genius, Cosmo Pharmaceuticals)
11.2. Fujifilm Holdings Corporation
11.3. Olympus Corporation (Odin Vision)
11.4. PENTAX Medical (HOYA Corporation)
11.5. Iterative Health, Inc.
11.6. Wision AI
11.7. Magentiq Eye Ltd.
11.8. NEC Corporation
11.9. AI Medical Service Inc.
11.10. Cybernet Systems Co., Ltd. (EndoBRAIN)
11.11. Boston Scientific Corporation
11.12. Docbot, Inc.
11.13. Satisfai Health
11.14. ai4gi
11.15. Shanghai Wision AI
圖表清單 List of Tables & Figures
Table 1. Global AI in Endoscopy Revenue Forecast by Application, 2026-2035 (US$ Mn)
Figure 1. Global AI in Endoscopy Market Snapshot, 2026 & 2035
Table 2. Global AI in Endoscopy Revenue Forecast by Procedure Type, 2026-2035 (US$ Mn)
Figure 2. Global AI in Endoscopy Market Share by Procedure Type, 2026 & 2035
Table 3. Global AI in Endoscopy Revenue Forecast by Deployment, 2026-2035 (US$ Mn)
Figure 3. AI Endoscopy Applications from Real-Time Detection to Reporting and Quality Monitoring
Table 4. Global AI in Endoscopy Revenue Forecast by End User, 2026-2035 (US$ Mn)
Figure 4. Adenoma Detection Rate Improvement and Reimbursement Evidence by Region
Table 5. North America AI in Endoscopy Revenue by Country, 2026-2035 (US$ Mn)
Figure 5. Asia Pacific AI in Endoscopy Growth Opportunity Analysis
Table 6. Europe AI in Endoscopy Revenue by Country, 2026-2035 (US$ Mn)
Figure 6. Embedded Versus Standalone AI Delivery Across Endoscopy System Manufacturers
Table 7. Asia Pacific AI in Endoscopy Revenue by Country, 2026-2035 (US$ Mn)
Figure 7. Competitive Positioning of Key AI in Endoscopy Market Participants
Table 8. Latin America and Middle East & Africa AI in Endoscopy Revenue Forecast, 2026-2035 (US$ Mn)
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