AI in Endoscopy Market Size & Share 2025 – 2034
Market Size by Type of Endoscopy, by Component, by Type of CAD.
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Market Size by Type of Endoscopy, by Component, by Type of CAD.
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Starting at: $2,450
Base Year: 2024
Companies Profiled: 13
Tables & Figures: 184
Countries Covered: 19
Pages: 130
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AI in Endoscopy Market
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AI in Endoscopy Market Size
The global AI in endoscopy market was estimated at USD 2.2 billion in 2024. The market is expected to grow from USD 2.8 billion in 2025 to USD 21.1 billion in 2034, at a CAGR of 25.3% during the forecast period. The increasing incidences of gastrointestinal disorders are driving market growth.
AI in Endoscopy Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
According to the World Gastroenterology Organization report, colorectal cancer is the third most common cancer globally, with over 1.9 million new cases annually. Similarly, inflammatory bowel diseases affect more than 6.8 million people worldwide, and peptic ulcers impact around 10% of the global population at some point in their lives. This shows the demand for effective, and technology-driven diagnostic and treatment solutions.
The use of AI in endoscopy is beneficial as it comes with new methods for diagnosis and treatments which make it a prominent factor for market growth. The use of AI technologies increases accuracy, efficiency, and clinical results through AI powered imaging for real-time abnormality detection, automated polyp detection, and predictive analytics for personalized treatment approach. Such innovations ensure that endoscopic processes are more precise and performed rapidly. Also, AI algorithms such as deep learning and computer vision systems are enhancing the sensitivity and specificity of diagnosis, which increases the adoption of these technologies. Moreover, recent developments such as cloud-based analytics platforms and AI-driven remote diagnostic solutions are increasing ease of use and providing healthcare professionals with valuable information.
The AI in endoscopy market includes the implementation of artificial intelligence technologies in endoscopic processes in order to increase the accuracy of diagnosis, improve the efficiency of workflows, and achieve better patient outcomes. Such technologies include AI imaging tools, automated diagnostic digital systems, predictive analytic systems, and robotics for gastrointestinal diagnosis and therapeutical procedures.
AI in Endoscopy Market Trends
AI in Endoscopy Market Analysis
Based on the type of endoscopy, the market is segmented into gastrointestinal endoscopy, urological endoscopy, respiratory endoscopy, colonoscopy, and other types. The gastrointestinal endoscopy segment dominated the market with USD 407.4 million in 2021, USD 506.7 million in 2022 and USD 631.2 million in 2023.
Based on component, the AI in endoscopy market is divided into AI powered devices, software, and services. The AI powered devices segment accounted for a significant market share of 48.7% in 2024.
Based on type of CAD, the AI in endoscopy market is divided into CADx and CADe. The CADx segment dominated the market in 2024 and is expected to grow with a significant CAGR of 25% over the analysis period.
Based on end use, the artificial intelligence in endoscopy market is segmented into hospitals, specialty clinics and other end users. The hospitals segment dominated the market with USD 1.2 billion in 2024 and is expected to reach 11.1 billion by 2034.
North America held the largest market share of 44.3% in 2024 in the global AI in endoscopy market, and it is anticipated to expand at a 25.2% CAGR over the forecast period. The U.S. market was valued at USD 471.2 million in 2021. The market size was valued at USD 585.1 million in 2022 and reached USD 727.8 million in 2023.
Europe AI in endoscopy market accounted for USD 645.6 million in 2024 and is anticipated to show considerable growth over the forecast period.
China AI in endoscopy market is poised to witness high growth over the analysis period.
The Saudi Arabia AI in endoscopy market is witnessing substantial growth Middle East and Africa.
AI in Endoscopy Market Share
The top 5 companies in the market account for approximately 70% of the market share, including Medtronic, Olympus, Fujifilm, Hoya, and Intuitive Surgical. These companies focus on AI-powered image enhancement, automated polyp detection, and real-time diagnostic solutions to improve endoscopic procedures. Their innovations enhance workflow efficiency, early disease detection, and physician decision-making in gastroenterology and minimally invasive surgeries. Additionally, several emerging players in the market, such as Iterative Scopes, Odin Vision, and Wision AI, are intensifying competition by offering advanced deep-learning algorithms and cost-effective AI-driven solutions. Companies are leveraging strategic partnerships and acquisitions to expand their presence.
AI in Endoscopy Market Companies
Major players operating in the AI in endoscopy industry are:
Medtronic offers advanced AI-powered endoscopic solutions designed to enhance real-time lesion detection and classification. Their GI Genius intelligent endoscopy module integrates seamlessly with existing colonoscopy systems, providing automated polyp detection to improve adenoma detection rates and assist gastroenterologists in early colorectal cancer diagnosis.
Olympus delivers high-performance endoscopic imaging with its EVIS X1 endoscopy system, which features AI-driven texture and color pattern recognition for improved lesion characterization. This system supports multiple AI-powered tools, including narrow-band imaging (NBI) and computer-aided detection (CAD), enabling precise and real-time diagnostics.
Fujifilm specializes in AI-enhanced endoscopy with its CAD EYE technology, designed to assist in polyp detection and characterization during colonoscopy procedures. The system leverages deep-learning algorithms to provide instant visual and auditory alerts, improving physician decision-making and reducing the risk of missed lesions.
AI in Endoscopy Industry News
The AI in endoscopy market research report includes in-depth coverage of the industry with estimates and forecast in terms of revenue in USD Million from 2021 - 2034 for the following segments:
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Market, By Type of Endoscopy
Market, By Component
Market, By Type of CAD
Market, By End Use
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →