Global AI Polyp Detection Device Market Strategic Research Report

Scope of the Report

The global AI Polyp Detection Device market size is predicted to grow from US$ 1,064 million in 2025 to US$ 4,709 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.

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?

This report presents a comprehensive overview of the global AI Polyp Detection Device market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• OEM-native Integrated Systems
• External AI Box / Inline Device
• Others

Segment by AI Function Scope

• CADe (Detection Only)
• CADe + Localization
• CADe + Characterization (CADx)
• CADe + Quality Metrics
• Others

Segment by Regulatory & Clinical Claim Level

• Adjunctive CADe Devices
• Triage / Alerting Devices
• Others

Segment by Application

• Hospital
• Clinic
• Other

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global AI Polyp Detection Device market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Hospital, Clinic, Other evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact