1. What Is the Endoscopy AI Market?
The Endoscopy AI Market comprises machine learning software that analyses real-time and recorded endoscopic video to assist gastroenterologists in detecting polyps, lesions, and other gastrointestinal abnormalities. The market includes real-time polyp detection AI overlaying visual markers on live colonoscopy video feeds to highlight potential abnormalities during the procedure. Lesion characterisation AI tools assisting endoscopists in classifying detected abnormalities to inform biopsy and treatment decisions are within scope. Procedure quality assessment AI measuring withdrawal time and bowel preparation adequacy to support colonoscopy quality improvement are included. Video documentation and reporting integration tools automatically generating procedure reports incorporating AI-flagged findings are within scope. The lifecycle scope covers AI software development, endoscopy equipment integration, and regulatory clearance and validation processes. Buyers include gastroenterology practices, hospital endoscopy units, and ambulatory surgery centres performing colonoscopy and upper endoscopy procedures. The value chain runs from endoscopy AI developers through endoscopy equipment manufacturers and gastroenterology practice technology integrations. Endoscopy AI tools used clinically are regulated as medical devices requiring FDA clearance based on their diagnostic risk classification. The scope excludes general diagnostic AI tools addressing other imaging modalities including radiology and pathology rather than endoscopic video. It also excludes endoscopy equipment itself, which captures rather than analyses the procedural video data.
2. Endoscopy AI Market Size & Forecast
3. Emerging Technologies
- Medical Imaging AI is emerging in the Endoscopy AI market, using deep-learning interpretation of diagnostic images to enable faster image triage. In this market, adoption is being supported by tighter performance requirements and greater digital integration, with potential value from improved efficiency, reliability, or decision quality.
- Clinical Decision Support Models is emerging in the Endoscopy AI market, using integrated patient-data prediction to enable decision support at point of care. In this market, adoption is being supported by tighter performance requirements and greater digital integration, with potential value from improved efficiency, reliability, or decision quality.
- Foundation Models for Medicine is emerging in the Endoscopy AI market, using large multimodal models adapted to medical data to enable broader clinical reasoning support. In this market, adoption is being supported by tighter performance requirements and greater digital integration, with potential value from improved efficiency, reliability, or decision quality.
- AI Workflow Orchestration is emerging in the Endoscopy AI market, using routing and prioritization of diagnostic tasks to enable reduced manual workload. In this market, adoption is being supported by tighter performance requirements and greater digital integration, with potential value from improved efficiency, reliability, or decision quality.
Comparable technologies are influencing adjacent market segments in similar ways. Read more in our Sepsis AI Market.
4. Key Market Opportunity
A key opportunity in the Endoscopy AI market is embedding market-specific analytics and workflow automation into the core user process, particularly in the core applications defined by the market scope. Customers still face fragmented data, manual review, or disconnected tools that limit the value of existing operational information, creating room to improve outcomes for gastroenterology practices, hospital endoscopy units, and ambulatory surgery centres performing colonoscopy and upper endoscopy procedures. Medical Imaging AI and Clinical Decision Support Models can connect the core market workflow with AI-assisted analytics, APIs, and domain-specific decision support, improving measurable operating or customer outcomes. Commercial value can come from software subscriptions, implementation, and integration services, supported by implementation, optimization, and lifecycle services.
5. Top Companies in the Endoscopy AI Market
The following organisations hold leading positions in the Endoscopy AI Market. The full report provides revenue share, SWOT analysis, and competitive benchmarking for each player.
- Data is currently being updated.
6. Market Segmentation
The Endoscopy AI Market is analysed across 6 segmentation dimensions. Revenue data, growth rates, and competitive intensity by sub-segment are available in the full report.
| Segmentation | Sub-Segments |
|---|---|
| By Decision Function | diagnosis risk prediction treatment support lesion detection polyp detection quality assessment triage lesion detection polyp detection quality assessment |
| By AI Method | machine learning deep learning generative AI rules-based |
| By Data | EHR imaging laboratory clinical notes |
| By Care Setting | hospital ambulatory specialty care remote care |
| By User | gastroenterology practices hospital endoscopy units and ambulatory surgery centres performing colonoscopy upper endoscopy procedures |
| By Region | North America The U.S. Canada Europe Germany UK France Italy Spain Netherlands Denmark Finland Sweden Norway Russia Rest of Europe Asia-Pacific China Japan India South Korea Australia Indonesia Thailand Vietnam Rest of Asia-Pacific Middle East and Africa Saudi Arabia UAE Israel South Africa Rest of MEA Latin America Mexico Brazil Argentina Rest of Latin America |
7. Key Market Trends (2026–2034)
Three major forces are shaping the Endoscopy AI Market trajectory over the forecast period:
Endoscopy AI Is Becoming More Closely Linked to Its Core Operating Applications.The Endoscopy AI Market comprises machine learning software that analyses real-time and recorded endoscopic video to assist gastroenterologists in detecting polyps, lesions, and other gastrointestinal abnormalities. Regulatory requirements are increasing the importance of traceability, documented performance, and controlled operating processes.
The technology architecture of the Endoscopy AI market is moving toward integrated digital workflows.The Endoscopy AI Market comprises machine learning software that analyses real-time and recorded endoscopic video to assist gastroenterologists in detecting polyps, lesions, and other gastrointestinal abnormalities, while interoperability, automation, and data exchange are becoming more important to deployment.
Procurement in the Endoscopy AI market is increasingly influenced by lifecycle cost, quality consistency, supply reliability, and technical support.Buyers are placing greater value on suppliers that can reduce operational disruption rather than minimizing the initial purchase price alone. For Endoscopy AI, this is increasingly relevant across clinical decision support ai within healthcare & life sciences, where buyers are weighing performance, integration requirements, implementation risk, and total lifecycle economics.
For related market intelligence, see the Diagnostic AI Market.
8. Segmental Analysis
9. Regional Analysis
Regional demand patterns across the Endoscopy AI Market reflect differences in regulation, technological maturity, and capital investment.
Largest Market Share
North America accounted for the largest share of the Endoscopy AI Market in 2025, estimated at an estimated 38.0% of the global market. North America benefits from large hospital networks, specialist capacity, and medical-technology procurement, supporting demand for Endoscopy AI Market. The market is supported by machine learning software that analyses real-time and recorded endoscopic video to assist gastroenterologists in detecting polyps, lesions, and other gastrointestinal abnormalities, aligning procurement with the region's industrial and commercial base. Market activity is further reinforced by demand is expanding across relevant end users.
Highest CAGR Region
Asia Pacific is expected to register the highest CAGR of 25.20% during the forecast period. Growth in Endoscopy AI Market in Asia Pacific is supported by large patient populations, expanding hospitals, and growing pharmaceutical manufacturing capacity, expanding the pool of potential adopters and buyers. The regional trajectory is reinforced by technology and workflow changes are widening adoption. Competitive and ecosystem conditions are also improving as investment and replacement activity are broadening the addressable market.
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Frequently Asked Questions
The Endoscopy AI Market was valued at USD 1.35 Bn in 2025 and is projected to reach USD 9.85 Bn by 2034, growing at a CAGR of 24.70% over the 2026–2034 forecast period.
The Endoscopy AI Market is projected to grow at a CAGR of 24.70% from 2026 to 2034.
North America accounted for the largest share of the Endoscopy AI Market in 2025, estimated at an estimated 38.0% of the global market.
Endoscopy ai is becoming more closely linked to its core operating applications.
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