AI in Endoscopy Market

AI in Endoscopy Market Overview

The global AI in endoscopy market size, valued at USD 1.71 billion in 2024, is projected to reach USD 2.14 billion in 2025 and USD 12.67 billion by 2035, representing a CAGR of 19.5% during the forecast period.

AI in Endoscopy Industry: In Summary

• The global AI in endoscopy market is undergoing a profound transformation, driven by the integration of artificial intelligence algorithms with conventional endoscopic imaging to dramatically enhance diagnostic accuracy and operational efficiency.
• The global AI in endoscopy market is poised to reach USD 12.67 billion by 2035, exhibiting an impressive CAGR of 19.5% over the forecast period. This robust growth is primarily propelled by the escalating global incidence of conditions such as inflammatory bowel disease, colorectal cancer, and gastroesophageal reflux disease the highly accurate and efficient diagnostic tools.
• In terms of endoscopy, gastrointestinal endoscopy currently holds the largest market share (34%), fueled by the high prevalence of related disorders. Colonoscopy is expected to exhibit a higher CAGR due to its critical importance in early colon cancer detection.
• CADx (Computer-Aided Diagnosis) leads the market with nearly 45% of the overall revenue share, reflecting its widespread adoption for diagnostic insights across various imaging modalities. Its continued growth is driven by the increasing prioritization of diagnostic precision and enhanced clinical decision-making.
• AI-powered endoscopic equipment holds nearly 50% of the market share and is expected to maintain its dominance with a high CAGR, propelled by its increasing adoption for disease diagnosis and gastrointestinal disease treatment.
• North America is dominating the AI in endoscopy market, occupying 47% of the market share, driven by the strong presence of AI-powered medical device providers and substantial healthcare infrastructure investments aimed at precision diagnostics. Asia-Pacific is poised for the fastest CAGR, propelled by significant investments in technological innovations and healthcare infrastructure development across countries like China and India.
• Leading players are actively engaged in strategic initiatives to solidify their market positions and drive innovation. For instance, Olympus (Japan) (with its OLYSENSE™ platform and CADDIE™), Fujifilm (Japan) (advancing its CAD EYE® portfolio), and Medtronic (Ireland) (with GI Genius™) are continuously investing in R&D to launch advanced AI-powered endoscopic solutions.
• The future of the market is defined by continuous technological advancement and a fundamental redefinition of diagnostic and therapeutic paradigms. The market's evolution towards more sophisticated computer-aided diagnosis (CADx) systems demonstrates clear progression towards higher-value applications that directly inform clinical decisions.

AI in Endoscopy Market Introduction

The field of endoscopy in healthcare is undergoing transformation to enhance operational efficiency and diagnostic accuracy. Artificial intelligence (AI) in endoscopy refers to the integration of AI algorithm with conventional endoscopic imaging. The integration helps to enhance the accuracy in detecting abnormalities, such as tumors, and polyps within the gastrointestinal track and internal body cavities.

The demand for AI in endoscopy is also increased due to the rising global burden of gastrointestinal disorders and stomach cancer. Notably, the endoscopy integrated with AI demonstrate high sensitivity and specificities to detect even minor bleeding, and detailed small-bowel abnormality. The AI-based endoscopy also helps to reduce time required for image review manually and analysis errors, making it invaluable tool in diagnosing gastrointestinal disorders. Additionally, the rising focus on minimally invasive diagnosis methods has further increased the demand for AI in endoscopy.

Considering the increasing demand, market players are actively undertaking initiatives to encourage technological innovations in this field. For instance, in June 2025, Cosmo Pharmaceutical (Ireland) unveils its first-of-its-kind case study of its medical device software application which is connected with Medtronic GI Genius™ intelligent endoscopy module (an AI-powered platform for gastrointestinal endoscopy), with Apple Vision Pro. Similar to Cosmo Pharmaceutical (Ireland), various market players are initiating the development of powered technology, which is expected to maintain long-term competitiveness in AI in endoscopy market.

AI in Endoscopy Market: Report Attributes

Key Report Attribute	Details
Historical Trend	Since 2020
Forecast Period	Till 2035
Market Size 2025	USD 2.14 Billion
Market Size 2035	USD 12.6 Billion
CAGR (Till 2035)	19.5%

One of the key objectives of the AI in endoscopy market report was to estimate the current size, opportunity, and the market growth potential, over the forecast period, till 2035. We have provided informed estimates on the likely evolution of the market for the forecast period.

The global AI in endoscopy market analysis also features the likely distribution of the current and forecasted opportunity within the market across various segments, such as type of endoscopy, type of component, type of CAD, type of technology, type of functionality, type of product, end user, geographical regions, and leading players.

In order to account for future uncertainties associated with some of the key parameters and to add robustness to our model, we have provided three market forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of industry’s evolution.

Recent Developments in AI in Endoscopy Market

Several recent developments in the field of AI in endoscopy industry have occurred, and we outlined some of these below.

• In April 2025, FUJIFILM India launched its state-of-the-art ELUXEO 8000 Therapeutic Endoscopy Solution at 22nd Mumbai Live Endoscopy 2025.

AI In Endoscopy Market Segmentation Insights

The market report provides comprehensive information on AI in endoscopy industry players who are currently active across various segments of the industry as mentioned in the table below.

AI in Endoscopy Market: Market Segmentation

Market Segmentations	Details
Type of Endoscopy	Gastrointestinal Endoscopy Urological Endoscopy Respiratory Endoscopy Colonoscopy Other Types
Type of Component	Hardware Software Services
Type of CAD	CADx CADe
Type of Technology	Cloud Hybrid On-Premises
Type of Functionality	Image Capture and Processing Data Management Enhanced Visualization Real-time Decision Support Training and Simulation Systems
Type of Product	AI-Driven Imaging Systems AI-Powered Endoscopic Equipment Wearable Endoscopy Devices Consumables Used in AI Endoscopy Software Solutions for AI Integration
Type of Technology	Cloud Hybrid On-Premises
Geographical Region	North America Europe Asia-Pacific Middle East & Africa Latin America
Market in North America	US Canada Mexico
Market in Europe	France Germany Italy Spain UK Rest of Europe
Market in Asia-Pacific	China India Japan South Korea New Zealand Rest of the Asia-Pacific
Market in Middle East & Africa	Egypt Saudi Arabia South Africa United Arab Emirates
Market in Latin America	Argentina Brazil

Industry Experts on AI In Endoscopy Market

The integration of AI in endoscopy has truly transformed the diagnosing capabilities, specifically polyps, and colorectal cancer. Experts says that AI in endoscopy industry has a broad scope as it significantly reduce the turnaround times and errors in diagnosis.

“Alessandro Repici (lecturer at Humanitas University and director of `Endoscopy on air´) explains, it is scientifically proven that the diagnostic improvements thanks to such technology are directly related to the decrease in the colorectal cancer incidence rate. This means an incidence decrease by 1% and a 3-4% improvement in the ability to diagnose this disease early. AI is also the reason why new technologies are able to detect polyps more effectively, improve the characterization of colorectal lesions before histological examination and refine the colon cancer screening program. The future looks towards using disposable instrumentation for endoscopies of the biliary tract, to further prevent infections.”

AI In Endoscopy Market Share Insights

Market Share by Type of Endoscopy: Which Endoscopy is Widely Used for Diagnosis?

• The global market is categorized across different type of endoscopy, such as gastrointestinal endoscopy, urological endoscopy, respiratory endoscopy, colonoscopy, and other types. According to the AI in endoscopy market forecast, the gastrointestinal endoscopy is holding 34% of the market share and is likely to remain dominant in the future. This dominance stems from the rising incidence of gastroesophageal reflux disease, Barrett’s esophagus and irritable bowel diseases that demand automated endoscopic systems for diagnosis.
• It is worth noting that the colonoscopy segment is likely to grow at a higher CAGR in the future. This can be attributed to the rising risk of colon cancer that require advanced endoscopic instruments for early and accurate diagnosis.

Market Share by Type of CAD: How Does CADs is Gaining Traction in AI In Endoscopy Industry?

• The global market is further categorized across different type of CAD, such as CADx, and CADe. According to the AI in endoscopy industry analysis, the CADx segment is dominating the market by holding nearly 45% of the overall revenue share. This dominance reflects the increasing usage of CADx systems across various diagnostics imaging modalities, including endoscopy, MRI scans, X-rays, and CT scans.
• It is important to highlight here that CADx segment will continue to grow at a higher CAGR in the future. This unprecedented growth is underscored by the increasing prioritization of diagnostic precision and clinical decision-making process.

Market Share by Type of Functionality: Image Capture and Processing Secure the Leading Position in Market?

• The global market is further bifurcated based on type of functionality into image capture and processing, data management, enhanced visualization, real-time decision support, and training and simulation systems. Among these, the image capture and processing segment is accounted for the highest AI in endoscopy market share. This highest share is due to the rising demand for AI in endoscopy for image processing and capturing in real-time with higher precision.
• It is important to highlight here that the real-time decision support segment is likely to grow at a higher CAGR in the future. This lucrative growth is due to the fact that healthcare professionals are using real-time polyp detection systems for identifying and characterizing the abnormalities during surgical procedures.

Market Share by End User: How are Hospitals and Specialty Clinics Leveraging AI in Endoscopy for Improved Patient Outcomes?

• Based on the end user, the global market is segmented into hospitals, specialty clinics, and other end users. According to the AI in endoscopy market report, the hospitals segment is dominating the market by holding nearly 60% of the overall market share. This substantial share is due to the ongoing advancements in hospital infrastructure, adoption of cutting-edge medical devices, and AI-powered systems to enhance patient treatment outcomes.
• It is worth noting that specialty clinics segment is likely to show robust growth, anticipating registering higher CAGR in the future. The dynamic growth reflects the patients preferences for specialized facility for diagnosis and treatment beyond hospital settings.

AI in Endoscopy Market: Report Deliverables

Report Deliverables	Details
Excel Data Packs (Complimentary)	Available
Key AI in Endoscopy Companies Profiled	Ambu (Denmark) Fujifilm (Japan) Hoya (Japan) Intuitive Surgical (US) Iterative Scopes (US) Magentiq Eye (Israel) Medtronic (Ireland) NEC (Japan) Olympus (Japan) PENTAX Medical (Japan) Wision Al (China) Wuhan EndoAngel Medical Technology (China) (A complete list of companies captured is available in the report)
PowerPoint Presentation (Complimentary)	Available
Customization Scope	15% Free Customization

AI in Endoscopy Market Key Takeaways

The "AI in Endoscopy Market Report: Industry Trends and Global Forecasts, till 2035" market report features an extensive study of the current market landscape, market size, market share, market growth, market trends, market value, market forecast, market outlook, statistics, and future opportunities for AI in endoscopy equipment / services providers. The market research report lays emphasis on the AI-driven lesion detection technologies that are being developed for life science companies and research organizations. Key takeaways of the market report are briefly discussed below.

Market Competitive Landscape: Is AI in Endoscopy Market Competitive?

The implementation of AI for endoscopy workflow automation has significantly caught attention of the market players, which makes this industry highly competitive. Overall, the market landscape features, the presence of several AI-focused startups, and well-established medical device manufacturers. It is worth mentioning that the market players, such as Medtronic (Ireland), Olympus (Japan), and Fujifilm (Japan) are intensifying their efforts to developed advanced deep learning in endoscopy imaging. Moreover, several market players are leveraging partnerships and collaborations to meet the global demand for AI in endoscopy, making this industry competitive for a long term.

Market Drivers: What are the Main Drivers Fueling Demand for AI-Powered Endoscopy Solutions?

With growing shift towards real-time data analysis, the demand for AI in endoscopy has increased significantly, which is expected to be a key driver for the market. Several other factors that are driving the market growth are listed below:

Rising Prevalence of Gastrointestinal Disorders and Colon Cancer

The escalating incidence of gastrointestinal disorders and colon cancer are the primary reasons for the surge in the demand for AI in medical imaging devices. Notably, the conditions, such as inflammatory bowel disease, colorectal cancer and gastroesophageal reflux disease are required immediate diagnosis and treatment. The AI-powered endoscopy solutions for early gastrointestinal cancer detection can help to analyze vast amount of data in real-time, which further support clinicians in making treatment decision plans.

Increasing Demand for Minimally Invasive Procedures

Many diagnostics procedures are invasive in nature, which causes patient discomfort and complications. Notably, the adoption of robotic-assisted AI endoscopy platforms in minimally invasive procedures, such as AI-assisted colonoscopy has increased the adenoma detection rates, and minimizes the risk of post-colonoscopy colorectal cancer, making procedures more effective. Therefore, healthcare professionals and patients are preferring minimally invasive diagnostics and treatment procedures that reduce discomfort, are cost-effective and require shorter recovery times, which are further expected to drive its demand in the future.

Market Trends: What are the Latest Technological Advancements Shaping AI in Endoscopy Industry?

Notably, the AI in endoscopy industry growth is accelerated by the following factors listed below:

Advancements in AI Algorithms: How is the Integration of AI with Robotic-Assisted And Augmented Reality Endoscopy Transforming The Market?

Industrial players are increasing advancements in AI algorithm, specifically deep learning techniques to analyze large amount of endoscopic images and videos data with higher accuracy. Moreover, the market players are widely emphasis on the integration of AI with surgical robots and augmented reality endoscopy that allow surgeons to perform surgeries with unparallel precision, and stability. In addition, it helps to access hard-to-reach anatomical areas that are challenging to target traditional endoscopes.

Personalized Medicine and Precision Diagnostics

The market for AI in endoscopy is further accelerated by the growing trend of personalized medicine and precision diagnostics. Interestingly, AI-driven endoscopy helps to analyze complex datasets, including genomic information of the patient, and drug response. This clinical information helps to provide personalized medicine to meet individual patients requirement. In addition, the demand for precision diagnostics to take a proactive treatment approach is likely to drive the requirement for AI in endoscopy.

AI in Endoscopy Market Report Coverage

The market report presents an in-depth analysis, highlighting the capabilities of various stakeholders in the AI in endoscopy industry, across different geographies. Amongst other elements, the market report includes:

• An Infographic Executive Summary
• Regulatory Scenario
• Comprehensive Database of Leading Players
• Competitive Landscape
• Porter’s Five Forces Analysis
• Company Competitiveness Analysis
• Startup Ecosystem in the AI in Endoscopy Market
• Company Profiles
• Partnerships and Collaborations
• Market Forecast and Future Opportunity Analysis
• Adjacent Market Analysis
• Key Winning Strategies
• Value Chain Analysis

Glossary

• Augmented Reality Intelligence (AI): It is also known as known as intelligence augmentation; it focuses on AI's role in enhancing human intelligence rather than replacing it.
• CAD EYE: It is an advanced AI solution for endoscopy developed by Fujifilm (Japan). It is specifically designed to assist in the early detection and characterization of abnormal lesions in the gastrointestinal tract.
• CADDIE: An AI-driven device that assists gastroenterologists in detecting and characterizing suspected colorectal polyps and potential early signs of colorectal cancer.
• Computer-Aided Diagnosis (CADx): It is an AI system that provides diagnostic insights and characterization of detected abnormalities, helping differentiate between benign and malignant lesions, estimate invasion depth, and classify polyps.

From the Author’s Desk

Author’s View on AI in Endoscopy Market

The AI in endoscopy market is undergoing a fundamental redefinition of diagnostic and therapeutic paradigms. Notably, market's evolution from basic Computer-Aided Detection (CADe) to more sophisticated Computer-Aided Diagnosis (CADx) systems demonstrates a clear progression towards higher-value applications that directly inform clinical decisions and enable precision medicine. Moreover, the trends towards precision, early diagnosis and heightened demand for minimally invasive diagnostics procedures are driving the demand for AI in endoscopy. The future scenario reflect technological advancements and development more robust AI-integrated diagnostics tools to make diagnosis more accurate and accessible.

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