AI in Endoscopy Market Size, Share and Trends Analysis, By Component (Hardware, Software, and Services), By Mode of Deployment (On-premise, Cloud-based AI platforms, and Hybrid), By Application, By Indication (Cancer, Inflammatory and Functional Disorders, and Others), By End-Use, and By Region, Forecast 2026-2033

AI in Endoscopy Market Overview and Key Insights:

AI in endoscopy market size reached USD 1,668.5 million in 2025 and is expected to register a revenue CAGR of 24.8% during the forecast period. AI-based endoscopy technologies may improve the efficacy of endoscopic procedures. AI algorithms could enhance endoscopic operations by automating functions like as image processing and interpretation, saving both time and money.

Market Drivers:

Rising burden of gastrointestinal (GI) diseases and cancer is a key driver driving the market revenue growth. Celiac disease affects approximately one out of every 133 people in the United States. That represents 1% of the entire population, or 2 million individuals. However, over 80% of patients with celiac disease are undiagnosed or misdiagnosed, particularly those who are socioeconomically challenged. Celiac disease is becoming more common, with prevalence varying by geography and demographic group. According to research, it is growing at a 7.5% annual rate due to an actual increase in the number of people with celiac disease, rather than increased identification and diagnosis.

Significant advances in endoscopic visualization, electrosurgery, and laparoscopic tools have all had an impact on the evolution of minimally invasive surgery (MIS), while recent innovations in artificial intelligence (AI) and robotic systems have improved surgical accuracy, reduced operative trauma, and improved patient outcomes.

On September 2025, Olympus Corporation, a global MedTech firm, has announced the commercial launch of its OLYSENSE CAD/AI (artificial intelligence-powered computer-aided detection) portfolio in the US and EU markets. This portfolio makes use of artificial intelligence to allow for early detection, higher clinical outcomes, and, ultimately, better patient care. Olympus has launched OLYSENSE CAD/AI, a set of cloud-based, AI-powered tools that represent the first stage in its intelligent endoscopy ecosystem. These tools help clinicians detect, characterize, and analyze lesions in both the upper and lower GI tracts.

Market Opportunity:

Expansion of AI in early cancer screening programs acts as opportunities for AI in endoscopy market. The domain of gastrointestinal endoscopy is constantly evolving as new technologies and procedures become accessible. The introduction of image-enhanced and magnification endoscopies has marked a significant step in improving endoscopic screening and detection of stomach lesions. Simultaneously, with the introduction of convolutional neural networks, artificial intelligence (AI) has made extraordinary advances in medical imaging, including ongoing studies for computer-aided identification of colorectal polyps and gastrointestinal bleeding.

In gastroenterology, AI applications have been successful in detecting colorectal cancers, esophageal squamous cell carcinoma, and hepatic abnormalities. Machine learning, a key component of AI, enables for the iterative refining of diagnostic models through data processing. Deep learning, particularly convolutional neural networks (CNNs), has proven exceptionally effective in picture analysis.

On March 2024, AI medical service inc., a medical start-up focusing in the development of diagnostic endoscopic AI, has announced the launching of gastroAI-model G, an AI-powered endoscopic diagnostic assistance equipment that functions within the stomach. The endoscopic AI aids the physician in the detection of neoplasia by identifying lesion candidates for biopsy or other diagnostic procedures based on gross visual traits observed during endoscopy.

Recent Trends:

Emerging trends include real-time AI-assisted detection, AI-powered diagnosis & characterization, cloud-based AI and hybrid deployment models, autonomous navigation and robotic endoscopy, and image enhancement & video stabilization technologies.

Artificial intelligence (AI) is revolutionizing healthcare, with endoscopy appearing as a promising application. AI-powered technologies are revolutionizing gastrointestinal diagnostics by greatly increasing the accuracy and efficiency of detecting illnesses like colorectal cancer, inflammatory bowel disease, and gastrointestinal bleeding. Notably, real-time AI-powered polyp recognition has showed great promise for minimizing missed diagnoses, especially for flat or mild tumors.

Furthermore, AI systems excel at lesion characterization, which helps with clinical decision-making and reduces the need for needless biopsies. One significant advantage of AI is its capacity to reduce variability in diagnostic performance, thereby assisting less experienced endoscopists and contributing to standardized care across varied clinical contexts.

On October 2024, Clario, a leading provider of endpoint data solutions for the clinical trials industry, has announced a strategic alliance with PathAI, a leader in AI-powered digital pathology solutions that aim to improve diagnosis accuracy and efficiency. This agreement provides a single-vendor solution for effective anatomical pathology services and next-generation video endoscopic analysis. PathAI strengthens the collaboration with its professional GI pathologist network and cutting-edge anatomical pathology services, while also improving specimen processing and histological assessments. Their AI-powered methods improve UC assessment, reduce variability in histology score, and speed up biomarker development.

Restraints & Challenges:

Despite encouraging advances, various obstacles prevent the widespread practical application of AI in GI endoscopy. One major worry is the generalizability of AI models, as many studies rely on retrospective evaluations of selected photos, needing additional validation in prospective trials. Furthermore, endoscopists’ knowledge, views, and attitudes toward the use of AI in endoscopy differ, underscoring the need for thorough education and training to enable adoption.

The application of AI in endoscopy may also have financial ramifications. The costs of using AI in endoscopy vary depending on the application and technology used. To be compatible with AI, equipment like as high-definition endoscopes and accompanying hardware must be upgraded or replaced, which might be costly. Furthermore, the construction and operating requirements of this database will result in considerable computational costs, such as a cloud or high-performance hardware, adequate to survive privacy and security issues.

Component Segment Insights and Analysis:

Based on the component, AI in endoscopy market is segmented into hardware, software, and services.

Hardware segment contributed the largest market share in 2025. It is further sub segmented into AI-enabled endoscopy systems, integrated processors & imaging modules, and sensors and cameras. Gastric cancer remains difficult to diagnose and treat, with early detection critical for increasing survival rates. In recent years, the integration of AI into medical devices has moved from centralized models that need significant computational resources to decentralized edge computing devices. Deploying AI models on edge devices is becoming increasingly important in healthcare applications, especially in contexts where real-time decision-making is required, such as endoscopic procedures for detecting stomach neoplasms.

This capacity is especially useful in rural or underdeveloped locations where network constraints would normally prevent the adoption of powerful AI diagnostics. As a result, incorporating AI into edge devices not only improves the efficiency and responsiveness of medical diagnostic tools, but also broadens their usefulness across a variety of clinical settings, making advanced treatment more accessible to a larger population.

On April 2024, Medtronic plc, a global leader in healthcare technology, announced the latest advances in artificial intelligence (AI) for endoscopic care by introducing ColonPRO, the next generation software for the GI Genius intelligent endoscopy system, as well as a strategic collaboration to improve patient care. Medtronic also announced a collaboration with Modernizing Medicine, a pioneer in healthcare technology and Electronic Health Records (EHR), demonstrating its commitment to a collaborative approach to the future of endoscopic care. ModMed’s gGastro EHR software complements the GI Genius system and provides powerful documentation solutions.

Application Segment Insights and Analysis:

Based on the application, AI in endoscopy market is segmented into Gastrointestinal (GI) endoscopy, bronchoscopy, ureteroscopy, laparoscopy, cystoscopy, and others.

Gastrointestinal (GI) endoscopy segment contributed the largest market share in 2025. Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy represents a significant improvement in gastroenterology practice. Colorectal polyp detection algorithms (CADe) have already been implemented in routine clinical care, and a wide range of other AI applications for GI endoscopy are in the advanced stages of research.

AI algorithms have demonstrated potential in the processing of endoscopic data, which is crucial in situations with historically low diagnostic sensitivity, such as indeterminate biliary strictures and pancreatic cancer. When combined with cholangioscopy or endoscopic ultrasound, convolutional neural networks can significantly increase diagnostic accuracy, particularly for the detection of malignant biliary strictures and cholangiocarcinoma. AI’s ability to evaluate complicated imaging data and provide real-time feedback can speed up endoscopic procedures, eliminate the need for invasive biopsies, and lessen associated unpleasant effects.

On October 2025, Surgical Automations, a stealth surgical-robotics business that uses AI and automation to transform gastrointestinal endoscopy, has announced the completion of its USD 3.4 million oversubscribed seed round. Surgical Automations is creating the Vāsuki Robotic System, a cutting-edge platform for upper and lower GI diagnostic and interventional operations. Operating mostly in the shadows, the company has made advancements in robotics, enhanced sensing, and AI-driven automated navigation—technologies that automate essential aspects of endoscopic procedures like colonoscopy, giving the physician unparalleled vision and control.

Indication Segment Insights and Analysis:

Based on the indication, AI in endoscopy market is segmented into cancer, inflammatory and functional disorders, and others.

Cancer segment contributed the largest market share in 2025. It is further sub segmented into colorectal cancer, gastric cancer, esophageal cancer, and lung cancer. According to the American Cancer Society, estimates for stomach cancer (also known as gastric cancer) in the United States for 2025 are approximately 30,300 new cases (17,720 men and 12,580 women) and 10,780 fatalities (6,400 men and 4,380 women). Stomach cancer accounts for around 1.5% of all new cancer diagnoses in the United States each year. The average age at diagnosis is 68. Every year, almost six out of ten persons diagnosed with stomach cancer are above the age of 65.

On March 2023, NVIDIA has announced a collaboration with Medtronic, the world’s leading healthcare technology supplier, to accelerate the development of AI in the healthcare system and introduce innovative AI-based solutions into patient care. The firms will incorporate NVIDIA healthcare and edge AI technology into Medtronic’s GI Genius intelligent endoscopy module, which Cosmo Pharmaceuticals developed and produced. GI Genius is the first FDA-approved, artificial intelligence-assisted colonoscopy tool to assist clinicians in detecting polyps that can lead to colorectal cancer.

Geographical Outlook:

AI in endoscopy market is strategically segmented by geography to provide a comprehensive understanding of regional market dynamic. Discover demand analysis, emerging trends, and growth opportunities shaping market performance across different region and countries.

North America AI in Endoscopy Market:

North America is registered to have highest market share in AI in endoscopy market in 2025. This is mainly driven by rising burden of gastrointestinal (GI) diseases and cancer and integration of AI into next-generation endoscopy platforms. Over 0.7% of Americans will be diagnosed with IBD during their lifetime. A 2023 cross-sectional retrospective analysis of more than 14 million people in the United States (US) found that 2.39 million Americans with IBD, including 1.25 million with UC and 1.01 million with Crohn’s disease. North America has the highest global rates of IBD. The incidence of IBD in the United States is 721 cases per 100,000 person-years. In the United States, ulcerative colitis has a higher prevalence than Crohn’s disease.

On January 2024, AnX Robotica, a pioneer in enhanced gastrointestinal visualization technology, has received the FDA approval of NaviCam ProScan. The FDA approved ProScan through the rigorous De Novo Submission Process, making it the first AI-Assisted Reading Tool developed to assist small bowel capsule endoscopy reviewers for adult patients who had capsule endoscopy images taken for suspected small intestine hemorrhage. ProScan software, an artificial intelligence (AI)-assisted reading tool, uses cutting-edge technology to transform the area of gastroenterology.

Asia Pacific AI in Endoscopy Market:

Asia Pacific is expected to register the fastest growth rate during the forecasted period, driven by growing adoption of minimally invasive diagnostic procedures and integration of AI into next-generation endoscopy platforms. Countries with strong healthcare infrastructures such as Japan, South Korea, and Australia are experiencing rising demand for advanced endoscopic software solutions. These nations are heavily investing in the digitalization and automation of clinical workflows, positioning them as early adopters of innovative endoscopic technologies. In Japan, the rapidly aging population and the high incidence of cancer and gastrointestinal disorders are further accelerating the need for endoscopy systems that enhance diagnostic precision and improve patient outcomes.

On March 2023, FUJIFILM India, a pioneer in healthcare imaging and information technologies, has introduced an updated version of the CAD EYE for stomach and esophageal diagnosis. The CAD EYE is a powerful instrument based on Artificial Intelligence Technology that aids gastroenterologists in the early diagnosis and characterisation of aberrant growth in the gastrointestinal system. The newly released AI technology will support three different viewing modes: white light, LCI (Linked Color Imaging), and BLI (Blue Light Imaging).

Europe AI in Endoscopy Market:

Europe is expected to register a significant market share during the forecasted period. On November 2025, Cosmo Pharmaceuticals N.V., a global leader in AI-powered healthcare and specialty pharma, announced that ColonPRO EU, the Company’s next-generation artificial intelligence software for colonoscopy, has received CE certification. Following FDA clearance in the United States, this certification brings to Europe the most advanced AI-assisted colonoscopy platform ever developed. The system has already been used to support more than four million procedures worldwide.

Competition Analysis:

AI in endoscopy market is characterized by a fragmented structure, with several players competing across various segments and regions. List of major players included in AI in endoscopy market report are:

• Medtronic plc
• Olympus Corporation
• ASUSTeK Computer Inc.
• Omega Medical Imaging, LLC
• ODIN MEDICAL LTD.
• Cosmo Pharmaceuticals
• RSIP Vision
• Virgo SVS
• MAGENTIQ EYE
• PENTAX Medical
• NEC Corporation
• aiEndoscopic 
• IEI Integration Corp.
• L&T Technology Services Limited
• AnX Robotica

Strategic Developments in AI in Endoscopy Market:

• In March 2025, NVIDIA and GE HealthCare have established a collaboration to drive autonomous imaging innovation, with a focus on creating autonomous X-ray technology and ultrasound applications. To build autonomy into systems such as X-rays and ultrasounds, medical imaging systems must understand and operate in the physical environment. This enables the automation of complex procedures including patient placement, picture scanning, and quality control. GE HealthCare, a pioneering partner, is utilizing the new NVIDIA Isaac for Healthcare medical device simulation platform, which includes pre-trained models and physics-based simulations of sensors, anatomy, and surroundings.
• In January 2025, Virgo, a market leader in data collection and AI analysis for endoscopy, has announced the release of EndoML, a full-stack AI development platform that leverages EndoDINO, Virgo’s proprietary endoscopic foundation model. EndoDINO was built with Meta’s DINOv2 architecture, which enables self-supervised learning on large, unlabeled datasets. Virgo’s recent study report shows that EndoDINO dramatically improves performance in GI-specific tasks, setting the platform for a variety of clinical applications.
• In June 2023, Medtronic and Kings College Hospital have been given GBP 2.5 million in government funding for a large-scale, real-world trial of GI Genius in NHS hospitals across the UK. The cutting-edge device uses artificial intelligence (AI) to assist physicians in detecting colorectal lesions such as polyps and adenomas in the gut that may develop into cancer.

Key Advantages for Stakeholders:

Navistrat Analytics’ industry report provides an in-depth quantitative analysis of various market segments, historical and current trends, market forecasts, and dynamics within the global market. The historical years covered in this report are 2023 to 2024, with 2025 serving as the base year for market size calculations. The forecast period extends from 2026 to 2033.

The report includes an executive summary and a comprehensive overview of market drivers, restraints, opportunities, and challenges (DROC), along with insights into regulatory standards. It features detailed analyses such as PORTER’s Five Forces, SWOT, and PESTLE, as well as assessments of technological trends and the competitive landscape.

PORTER’s Five Forces analysis helps stakeholders evaluate the impact of new entrants, competitive rivalry, supplier power, buyer power, and substitution threats, enabling them to assess the level of competition and the attractiveness of the global market. The competitive landscape provides stakeholders with a clear understanding of the current market positions of key players, offering valuable insights into their competitive environment.

Scope And Key Highlights Of AI in Endoscopy Market Report:

AI in Endoscopy market report offers a detailed analysis of market size, including historical revenue (in USD Million) data for 2023-2024 and revenue forecasts for 2026-2033 across the following segments:

• Component Outlook (Revenue, USD Million; 2023-2033)
  • Hardware
    • AI-enabled endoscopy systems
    • Integrated processors & imaging modules
    • Sensors and cameras
  • Software
  • Services
    • Installation & integration services
    • Training & support
    • Maintenance

• Mode of Deployment Outlook (Revenue, USD Million; 2023-2033)
  • On-premise
  • Cloud-based AI platforms
  • Hybrid

• Application Outlook (Revenue, USD Million; 2023-2033)
  • Gastrointestinal (GI) Endoscopy
  • Bronchoscopy
  • Ureteroscopy
  • Laparoscopy
  • Cystoscopy
  • Others

• Indication Outlook (Revenue, USD Million; 2023-2033)
  • Cancer
    • Colorectal cancer
    • Gastric cancer
    • Esophageal cancer
    • Lung cancer
  • Inflammatory and Functional Disorders
    • Inflammatory bowel disease (IBD)
    • GERD
    • Ulcers
  • Others

• End-Use Outlook (Revenue, USD Million; 2023-2033)
  • Hospitals & Clinical Diagnostic Laboratories
  • Academic & Research Institutes
  • Pharmaceutical & Biotechnology Companies
  • Ambulatory Surgical Centers (ASCs)

• Regional Outlook (Revenue, USD Million; 2023-2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
    • Benelux
    • Nordic Countries
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Oceania
    • ASEAN Countries
    • Rest of APAC
  • Latin America
    • Brazil
    • Rest of LATAM
  • Middle East & Africa
    • GCC Countries
    • South Africa
    • Israel
    • Turkey
    • Rest of MEA

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