AI-Assisted Colonoscopy Software Market
完整報告名稱與涵蓋範圍
AI-Assisted Colonoscopy Software Market Size, Share & Trends Analysis Report, By Software Function (Computer-Aided Polyp Detection (CADe), Computer-Aided Polyp Characterization and Optical Diagnosis (CADx), Quality Assurance, Withdrawal and Coverage Monitoring, Automated Reporting and Documentation), By Deployment (Integrated with Endoscopy Processors, Standalone Hardware and Cloud Platforms), By End User (Hospitals, Ambulatory Endoscopy Centers, Screening Programs and Academic Centers), By Region, and Segment Forecasts, 2026-2035
報告摘要
The AI-assisted colonoscopy software market covers computer-aided polyp detection, polyp characterisation and optical diagnosis, quality assurance and withdrawal monitoring and automated reporting software used during colonoscopy, delivered integrated with endoscopy processors or through standalone hardware and cloud platforms. Broader endoscopy AI applications are covered in the AI in endoscopy study; this study isolates the colonoscopy segment, which accounts for the majority of current deployments.
Colonoscopy is the anchor application because randomised trials show AI detection increases adenoma detection rates, a metric linked to lower interval cancer risk, and because screening programs generate high procedure volumes. Vendors compete on detection sensitivity with low false-positive rates, on characterisation algorithms that could support resect-and-discard strategies that cut pathology costs and on quality tools that document withdrawal time and mucosal coverage. Reimbursement remains the main commercial hurdle outside Japan, with add-on payment proposals under review in the United States and Europe, while endoscopy manufacturers bundle AI into processor upgrades and independent developers offer processor-agnostic devices. Evidence on cost-effectiveness, workload and overdiagnosis of diminutive lesions influences guideline positions and payer decisions.
Japan, Europe and North America lead adoption, with China, South Korea and Australia growing through domestic software and expanding screening. Competition involves endoscopy system manufacturers, gastroenterology AI specialists and technology companies with colonoscopy algorithms.
The InsightAce study includes revenue forecasts in US$ for all software function, deployment and end user and regional segments across 2026-2035, segment-level trend analysis, competitive positioning assessment and company profiles.
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| Single User | $4,500 USD |
| Enterprise / Global Site Licence | $9,500 USD |
目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI-Assisted Colonoscopy Software Market Snapshot
Chapter 4. Global AI-Assisted Colonoscopy Software Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Market Drivers
4.3. Market Challenges
4.4. Emerging Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis - Porter's Five Forces Analysis
4.7. Competitive Landscape and Market Positioning
4.8. Market Opportunity Analysis
Chapter 5. Market Segmentation 1: By Software Function Estimates & Trend Analysis
5.1. Software Function & Market Share, 2026 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Software Function:
5.2.1. Computer-Aided Polyp Detection (CADe)
5.2.2. Computer-Aided Polyp Characterization and Optical Diagnosis (CADx)
5.2.3. Quality Assurance, Withdrawal and Coverage Monitoring
5.2.4. Automated Reporting and Documentation
Chapter 6. Market Segmentation 2: By Deployment Estimates & Trend Analysis
6.1. Deployment & Market Share, 2026 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Deployment:
6.2.1. Integrated with Endoscopy Processors
6.2.2. Standalone Hardware and Cloud Platforms
Chapter 7. Market Segmentation 3: By End User Estimates & Trend Analysis
7.1. End User & Market Share, 2026 & 2035
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by End User:
7.2.1. Hospitals
7.2.2. Ambulatory Endoscopy Centers
7.2.3. Screening Programs and Academic Centers
Chapter 8. AI-Assisted Colonoscopy Software Market: Regional Estimates & Trend Analysis
8.1. North America
8.1.1. United States
8.1.2. Canada
8.2. Europe
8.2.1. Germany
8.2.2. United Kingdom
8.2.3. France
8.2.4. Italy
8.2.5. Spain
8.2.6. Rest of Europe
8.3. Asia Pacific
8.3.1. China
8.3.2. Japan
8.3.3. India
8.3.4. South Korea
8.3.5. Australia
8.3.6. Southeast Asia
8.3.7. Rest of Asia Pacific
8.4. Latin America
8.4.1. Brazil
8.4.2. Mexico
8.4.3. Rest of Latin America
8.5. Middle East & Africa
8.5.1. GCC Countries
8.5.2. South Africa
8.5.3. Rest of Middle East & Africa
Chapter 9. Competitive Landscape
9.1. Company Market Positioning Analysis
9.2. Strategic Developments (Partnerships, Expansions, Product Launches, M&A)
Chapter 10. Company Profiles
10.1. Medtronic plc (GI Genius, Cosmo Pharmaceuticals)
10.2. Fujifilm Holdings Corporation (CAD EYE)
10.3. Olympus Corporation (Odin Vision)
10.4. PENTAX Medical (HOYA Corporation)
10.5. Iterative Health, Inc.
10.6. Wision AI
10.7. Magentiq Eye Ltd.
10.8. NEC Corporation (WISE VISION)
10.9. AI Medical Service Inc.
10.10. Cybernet Systems Co., Ltd. (EndoBRAIN)
10.11. Docbot, Inc.
10.12. Satisfai Health
10.13. Boston Scientific Corporation
10.14. Shanghai Wision AI
10.15. ai4gi
圖表清單 List of Tables & Figures
Table 1. Global AI-Assisted Colonoscopy Software Revenue Forecast by Software Function, 2026-2035 (US$ Mn)
Figure 1. Global AI-Assisted Colonoscopy Software Market Snapshot, 2026 & 2035
Table 2. Global AI-Assisted Colonoscopy Software Revenue Forecast by Deployment, 2026-2035 (US$ Mn)
Figure 2. Global AI-Assisted Colonoscopy Software Market Share by Deployment, 2026 & 2035
Table 3. Global AI-Assisted Colonoscopy Software Revenue Forecast by End User, 2026-2035 (US$ Mn)
Figure 3. Adenoma Detection Rate and Interval Cancer Evidence Supporting AI Colonoscopy
Table 4. North America AI-Assisted Colonoscopy Software Revenue by Country, 2026-2035 (US$ Mn)
Figure 4. Reimbursement Status and Add-On Payment Proposals for Colonoscopy AI by Region
Table 5. Europe AI-Assisted Colonoscopy Software Revenue by Country, 2026-2035 (US$ Mn)
Figure 5. Asia Pacific AI-Assisted Colonoscopy Software Growth Opportunity Analysis
Table 6. Asia Pacific AI-Assisted Colonoscopy Software Revenue by Country, 2026-2035 (US$ Mn)
Figure 6. Processor-Integrated Versus Processor-Agnostic AI Deployment Models
Table 7. Latin America and Middle East & Africa AI-Assisted Colonoscopy Software Revenue Forecast, 2026-2035 (US$ Mn)
Figure 7. Competitive Positioning of Key AI-Assisted Colonoscopy Software Market Participants
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