PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1927715
PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1927715
AI in Endoscopy Market size was valued at USD 2,850 Million in 2024, expanding to a CAGR of 25.5% from 2025 to 2032.
Artificial intelligence (AI) in endoscopy refers to the integration of machine learning, particularly deep learning techniques like convolutional neural networks, into gastrointestinal endoscopic procedures. It primarily involves computer-aided detection (CADe) for real-time identification of abnormalities such as polyps or lesions, and computer-aided diagnosis (CADx) for characterizing them with predicting neoplasia or inflammation. This enhances accuracy, reduces missed detections, and improves procedural quality and efficiency.
AI in Endoscopy Market- Market Dynamics
Increasing need for early detection and prevalence of GI disorders is expected to propel market demand
The increasing global incidence of gastrointestinal (GI) disorders, including colorectal cancer, ulcers, inflammatory bowel disease, and gastroesophageal reflux disease, is a primary driver fueling the AI in endoscopy market. According to National Institute of Health (NIH), colorectal cancer alone is projected to see over 150,000 new cases in the U.S. in the coming years, with early detection significantly improving survival rates. AI enhances endoscopic procedures by enabling real-time polyp and lesion detection (CADe) and characterization (CADx), reducing missed abnormalities that human eyes might overlook often achieving over 90% accuracy in trials. This addresses the growing burden of chronic GI conditions driven by aging populations and lifestyle factors, pushing healthcare systems toward AI-assisted tools for screening and surveillance. As a result, demand surges for minimally invasive diagnostics that improve outcomes and reduce mortality.
Furthermore, advancements in deep learning, computer vision, and machine learning algorithms are revolutionizing endoscopy, making AI integration a major growth driver. Innovations like real-time image analysis, cloud-based platforms, and AI-robotics are expected to offer new growth opportunities for market growth. For example, companies like Olympus Corporation and Medtronic boost diagnostic precision through procedural efficiency, and workflow automation without adding risks. These technologies support features such as automated lesion classification, predictive analytics, and enhanced visualization, attracting investments and regulatory approvals. Thus, product innovation and rapid investment in product development are expected to bolster market growth.
The Global AI in Endoscopy Market is segmented on the basis of Type of Endoscopy, Component, CAD Type, End User, and Region.
The market is divided into five categories based on Type of Endoscopy: gastrointestinal endoscopy, colonoscopy, urological endoscopy, respiratory endoscopy, and others. The gastrointestinal endoscopy segment held the significant share in the global market. Conditions such as gastroesophageal reflux disease (GERD), peptic ulcers, inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), gastrointestinal bleeding, and colorectal cancer are becoming increasingly prevalent in the older adults. Older individuals are more susceptible due to weakened digestive function, long-term medication use, hence boosting demand for GI endoscopy. Gastrointestinal endoscopy is widely preferred because it enables early detection, accurate diagnosis, and minimally invasive treatment.
The market is divided into three categories based on Component: AI-integrated hardware, software and services. The AI-integrated hardware segment is expected to offer high growth potential for AI endoscopy market. AI-integrated hardware includes smart endoscopes, high-definition cameras, advanced imaging sensors, video processors, and display systems embedded with machine learning and computer vision capabilities. The growing emphasis on early disease detection and precision diagnostics is a key driver for the hardware segment.
AI in Endoscopy Market- Geographical Insights
Across the globe, the AI in Endoscopy market is split in the regions of North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. North America holds the majority share in the global AI in Endoscopy market in 2024. The United States drives the regional share, benefiting from robust R&D ecosystems, favorable reimbursement policies, and widespread adoption in hospitals and ambulatory centers. Asia Pacific region growth is driven by rapid healthcare infrastructure development, rising awareness of preventive diagnostics, government initiatives promoting advanced technologies. In Europe, countries like Germany, France, and the UK lead due to the well-established healthcare systems. The regional growth is supported by increasing healthcare expenditure, a focus on minimally invasive procedures, and initiatives promoting digital health transformation. For example, European Cancer Imaging Initiative is aimed at incorporating AI in endoscopic imaging in healthcare system.
AI in Endoscopy Market- Country Insights- U.S.
The U.S. has a widespread network of hospitals, ambulatory surgical centers, and specialty clinics that are quick to adopt cutting-edge diagnostic technologies, including AI-based endoscopy. Colorectal cancer remains one of the most frequently diagnosed cancers in the U.S., emphasizing the need for high-performance endoscopic diagnostics. Thus, high prevalence of colorectal cancer is turning out to be main reason for target diseases. Further, clear regulatory pathways such as FDA 510(k) clearances which reduce barriers to entry and encourage investment by global firms into the U.S. has paved the way for companies to have grasp over the country.
The AI in endoscopy market is highly competitive in nature owing to technological advancements and regulatory approvals. Key players in the market include Medtronic plc, Olympus Corporation, Fujifilm, etc. Market leaders are increasingly investing in the development and launch of real-time computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems. These solutions assist clinicians during live procedures by automatically identifying, classifying, and highlighting abnormalities such as polyps, lesions, and early-stage cancers, thereby reducing miss rates and operator dependency. Continuous product launches, regulatory approvals, and AI-driven workflow enhancements are expected to remain key growth drivers for the AI in endoscopy market in the coming years. For example, in 2024, Fujifilm secured FDA clearance for CAD EYE, boosting real-time colonic polyp detection.
In 2025, Olympus Corporation launched OLYSENSE CAD/AI suite for pioneering an intelligent endoscopy ecosystem. This suite supports the creation of an intelligent, connected endoscopy environment. The suite is engineered to integrate seamlessly with Olympus endoscopy hardware, imaging processors, and data management platforms.
In 2025, Medtronic Plc introduced ColonPRO software for GI Genius, enhancing polyp detection and third-party integration. The software is designed to identify and visually highlight suspected colorectal polyps during live procedures, supporting endoscopists in detecting subtle, flat lesions.