Global AI Polyp Detection Device Market Growth 2026-2032
Description
The global AI Polyp Detection Device market size is predicted to grow from US$ 1064 million in 2025 to US$ 4709 million in 2032; it is expected to grow at a CAGR of 23.7% from 2026 to 2032.
AI Polyp Detection Device refers to a regulated medical device used during real-time gastrointestinal endoscopy—primarily colonoscopy—to automatically detect colorectal polyps using artificial intelligence. These devices operate directly on live endoscopic video streams and provide visual or auditory alerts to assist endoscopists in identifying suspicious lesions that might otherwise be missed. Unlike standalone software, an AI Polyp Detection Device has a clear physical device form, either as an endoscopy OEM–integrated module or an external AI processing unit (“AI box”) connected inline with the endoscopy video chain. Its core clinical purpose is computer-aided detection (CADe), aiming to improve adenoma detection rate (ADR), reduce operator dependency, and standardize screening quality. As such, these devices are typically subject to FDA, CE, or NMPA medical device regulation and are procured by hospitals as capital equipment or bundled system components.
From a multi-dimensional classification perspective, the market can be parameterized along several axes: (1) integration type (OEM-native systems vs external AI boxes), (2) AI function scope (detection-only CADe, detection plus localization, or CADe combined with quality metrics), (3) platform compatibility (single-OEM locked vs multi-OEM compatible), (4) regulatory claim level (adjunctive alerting vs quantified decision support), and (5) commercial model (capital sale, device + annual license, or per-procedure pricing). Key technical parameters used to differentiate products include real-time latency, supported video resolution (HD/4K), sensitivity at fixed false-positive rates, minimum detectable polyp size, and compatibility with legacy endoscopy systems.
The industry value chain begins upstream with endoscopy hardware OEMs, imaging sensors, processors, and semiconductor suppliers. Midstream players include AI model developers, device integrators, and regulatory/compliance specialists who transform algorithms into certifiable medical devices. Downstream, the primary customers are hospital endoscopy units, ambulatory surgical centers, and population-based colorectal cancer screening programs. Cost structures are dominated by R&D, clinical trials, regulatory approval, and hardware integration, while manufacturing costs per unit are relatively moderate once designs are standardized. As a result, AI Polyp Detection Devices typically achieve gross margins in the 60–80% range, depending on hardware intensity and licensing structure.
In 2025, global AI Polyp Detection Device production is estimated to reach approximately 20.4 thousand units, with an average global market price of around US$53,330 per unit. Commercial transactions commonly involve multi-year hospital contracts, bundling with endoscopy systems, or add-on sales to existing installed bases. Market growth is driven by rising colorectal cancer screening volumes, increasing quality benchmarks tied to ADR, and strong OEM adoption of embedded AI. Future trends point toward deeper native integration, expansion from detection to workflow intelligence, and gradual convergence of device sales with outcome-based reimbursement models.
LP Information, Inc. (LPI) ' newest research report, the “AI Polyp Detection Device Industry Forecast” looks at past sales and reviews total world AI Polyp Detection Device sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Polyp Detection Device sales for 2026 through 2032. With AI Polyp Detection Device sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Polyp Detection Device industry.
This Insight Report provides a comprehensive analysis of the global AI Polyp Detection Device landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI Polyp Detection Device portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Polyp Detection Device market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Polyp Detection Device and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Polyp Detection Device.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Polyp Detection Device market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
OEM-native Integrated Systems
External AI Box / Inline Device
Others
Segmentation by AI Function Scope:
CADe (Detection Only)
CADe + Localization
CADe + Characterization (CADx)
CADe + Quality Metrics
Others
Segmentation by Regulatory & Clinical Claim Level:
Adjunctive CADe Devices
Triage / Alerting Devices
Others
Segmentation by Application:
Hospital
Clinic
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
Olympus Corporation
Fujifilm
Pentax Medical
Medtronic
Iterative Scopes
Wision A.I.
United Imaging
Mindray
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI Polyp Detection Device market?
What factors are driving AI Polyp Detection Device market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI Polyp Detection Device market opportunities vary by end market size?
How does AI Polyp Detection Device break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
AI Polyp Detection Device refers to a regulated medical device used during real-time gastrointestinal endoscopy—primarily colonoscopy—to automatically detect colorectal polyps using artificial intelligence. These devices operate directly on live endoscopic video streams and provide visual or auditory alerts to assist endoscopists in identifying suspicious lesions that might otherwise be missed. Unlike standalone software, an AI Polyp Detection Device has a clear physical device form, either as an endoscopy OEM–integrated module or an external AI processing unit (“AI box”) connected inline with the endoscopy video chain. Its core clinical purpose is computer-aided detection (CADe), aiming to improve adenoma detection rate (ADR), reduce operator dependency, and standardize screening quality. As such, these devices are typically subject to FDA, CE, or NMPA medical device regulation and are procured by hospitals as capital equipment or bundled system components.
From a multi-dimensional classification perspective, the market can be parameterized along several axes: (1) integration type (OEM-native systems vs external AI boxes), (2) AI function scope (detection-only CADe, detection plus localization, or CADe combined with quality metrics), (3) platform compatibility (single-OEM locked vs multi-OEM compatible), (4) regulatory claim level (adjunctive alerting vs quantified decision support), and (5) commercial model (capital sale, device + annual license, or per-procedure pricing). Key technical parameters used to differentiate products include real-time latency, supported video resolution (HD/4K), sensitivity at fixed false-positive rates, minimum detectable polyp size, and compatibility with legacy endoscopy systems.
The industry value chain begins upstream with endoscopy hardware OEMs, imaging sensors, processors, and semiconductor suppliers. Midstream players include AI model developers, device integrators, and regulatory/compliance specialists who transform algorithms into certifiable medical devices. Downstream, the primary customers are hospital endoscopy units, ambulatory surgical centers, and population-based colorectal cancer screening programs. Cost structures are dominated by R&D, clinical trials, regulatory approval, and hardware integration, while manufacturing costs per unit are relatively moderate once designs are standardized. As a result, AI Polyp Detection Devices typically achieve gross margins in the 60–80% range, depending on hardware intensity and licensing structure.
In 2025, global AI Polyp Detection Device production is estimated to reach approximately 20.4 thousand units, with an average global market price of around US$53,330 per unit. Commercial transactions commonly involve multi-year hospital contracts, bundling with endoscopy systems, or add-on sales to existing installed bases. Market growth is driven by rising colorectal cancer screening volumes, increasing quality benchmarks tied to ADR, and strong OEM adoption of embedded AI. Future trends point toward deeper native integration, expansion from detection to workflow intelligence, and gradual convergence of device sales with outcome-based reimbursement models.
LP Information, Inc. (LPI) ' newest research report, the “AI Polyp Detection Device Industry Forecast” looks at past sales and reviews total world AI Polyp Detection Device sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Polyp Detection Device sales for 2026 through 2032. With AI Polyp Detection Device sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Polyp Detection Device industry.
This Insight Report provides a comprehensive analysis of the global AI Polyp Detection Device landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI Polyp Detection Device portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Polyp Detection Device market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Polyp Detection Device and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Polyp Detection Device.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Polyp Detection Device market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
OEM-native Integrated Systems
External AI Box / Inline Device
Others
Segmentation by AI Function Scope:
CADe (Detection Only)
CADe + Localization
CADe + Characterization (CADx)
CADe + Quality Metrics
Others
Segmentation by Regulatory & Clinical Claim Level:
Adjunctive CADe Devices
Triage / Alerting Devices
Others
Segmentation by Application:
Hospital
Clinic
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
Olympus Corporation
Fujifilm
Pentax Medical
Medtronic
Iterative Scopes
Wision A.I.
United Imaging
Mindray
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI Polyp Detection Device market?
What factors are driving AI Polyp Detection Device market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI Polyp Detection Device market opportunities vary by end market size?
How does AI Polyp Detection Device break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
87 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Global by Company
- 4 World Historic Review for AI Polyp Detection Device by Geographic Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Manufacturing Cost Structure Analysis
- 11 Marketing, Distributors and Customer
- 12 World Forecast Review for AI Polyp Detection Device by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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