Global AI in Endoscopy Market Size is valued at US$ 2.2 Bn in 2024 and is predicted to reach US$ 10.9 Bn by the year 2034 at an 17.9% CAGR during the forecast period for 2025-2034.
AI in endoscopy refers to the use of artificial intelligence technologies, including machine learning and computer vision, to help in endoscopic procedures by expanding detection, diagnosis, and characterization of gastrointestinal and other internal abnormalities. The AI in endoscopy market is extending rapidly owing to significant technological advancements, including real-time image analysis, deep learning algorithms, and enhanced computer-aided detection systems.
These innovations permits AI to accurately identify polyps, lesions, and early-stage cancers during endoscopic procedures, improving diagnostic precision and reducing human error. A major driver is the rising prevalence of gastrointestinal diseases and colorectal cancer, which fuels need for early and accurate detection. Additionally, hospitals and clinics are adopting AI-enabled endoscopy systems to optimize workflow efficiency, decrease procedure times, and expand patient outcomes. Rising investments in AI research and integration with minimally invasive procedures further accelerate market expansion worldwide.
The AI in endoscopy market is witnessing significant growth, driven primarily by the rapid development of healthcare infrastructure across Europe. Cutting-edge hospitals and diagnostic centers are increasingly adopting AI-powered endoscopy systems for expanded accuracy in detecting gastrointestinal disorders, early cancer diagnosis, and procedural efficiency. AI algorithms helps clinicians by expanding image analysis, reducing human problems, and allowing real-time decision-making. Growing investments in modern healthcare facilities, along with increasing awareness about early disease detection, are accelerating adoption. Moreover, integration of AI with robotic endoscopy and telemedicine platforms is expanding clinical capabilities, further driving the market. This trend is reinforced by supportive government initiatives and research funding.
Some of the Key Players in the AI in Endoscopy Market:
· Ambu
· Fujifilm
· Hoya
· Intuitive Surgical
· Iterative Scopes
· Magentiq Eye
· Medtronic
· NEC
· Olympus
· PENTAX Medical
· Wision Al
· Wuhan EndoAngel Medical Technology
The AI in endoscopy market is segmented by type of endoscopy, type of component, type of CAD, type of technology, type of functionality, type of product and by region. By type of endoscopy, the market is segmented into gastrointestinal endoscopy, urological endoscopy, respiratory endoscopy, colonoscopy, and other types. By type of component, the market is segmented into hardware, software and services. By type of CAD, the market is segmented into CADx, and CADe. By type of technology, the market is segmented into cloud, hybrid, and on-premises. By type of functionality, the market is segmented into image capture & processing, data management, enhanced visualization, real-time decision support, and training & simulation systems. By type of product, the market is segmented into AI-driven imaging systems, AI-powered endoscopic equipment, wearable endoscopy devices, consumables used in AI endoscopy, and software solutions for AI integration.
In 2024, the gastrointestinal endoscopy held the major market share over the projected period due to the growing need for early detection and accurate diagnosis of gastrointestinal disorders such as colorectal cancer, ulcers, and polyps. A key driver is the integration of artificial intelligence algorithms that enhance image analysis, identify abnormalities in exact time, and decrease human issues during endoscopic procedures. AI-powered systems help clinicians in expanding diagnostic accuracy, workflow efficiency, and procedure outcomes.
The AI in endoscopy market is dominated by CADx due to the growing need for accurate and early disease detection, especially in gastrointestinal disorders and cancers. AI-powered CADx systems enhance diagnostic precision by identifying subtle lesions and polyps that may be missed by human eyes. The rising adoption of minimally invasive procedures, advancements in deep learning algorithms, and increasing integration of real-time image analysis in hospitals and diagnostic centers further accelerate market growth and improve patient outcomes.
North America dominates the market for AI in endoscopy due to region’s growing demand for advanced diagnostic accuracy and early disease detection in gastrointestinal disorders and cancers. Artificial intelligence enhances image analysis, polyp detection, and real-time decision-making during endoscopic procedures. Increasing adoption of minimally invasive surgeries, strong presence of leading healthcare technology companies, and supportive regulatory frameworks further propel growth. Additionally, rising healthcare investments and integration of AI-powered systems in hospitals and clinics strengthen market expansion across the region.
Moreover, Europe's AI in endoscopy market is also fueled due to the region’s growing adoption of artificial intelligence for early and accurate disease detection, particularly in gastrointestinal disorders and cancer screening. A major driver is the increasing need to enhance diagnostic precision and reduce human error during endoscopic procedures. Additionally, advancements in image recognition, government support for healthcare digitization, and rising investments in AI-based medical technologies are accelerating adoption across hospitals and research institutions throughout Europe.
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Endoscopy Market Snapshot
Chapter 4. Global AI in Endoscopy Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on AI in Endoscopy Market Industry Trends
4.10. Global AI in Endoscopy Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
Chapter 5. AI in Endoscopy Market Segmentation 1: By Endoscopy, Estimates & Trend Analysis
5.1. Market Share by Endoscopy, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Endoscopy:
5.2.1. Gastrointestinal Endoscopy
5.2.2. Urological Endoscopy
5.2.3. Respiratory Endoscopy
5.2.4. Colonoscopy
5.2.5. Other Types
Chapter 6. AI in Endoscopy Market Segmentation 2: By CAD, Estimates & Trend Analysis
6.1. Market Share by CAD, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following CAD:
6.2.1. CADx
6.2.2. CADe
Chapter 7. AI in Endoscopy Market Segmentation 3: By Product, Estimates & Trend Analysis
7.1. Market Share by Product, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Product:
7.2.1. AI-Driven Imaging Systems
7.2.2. AI-Powered Endoscopic Equipment
7.2.3. Wearable Endoscopy Devices
7.2.4. Consumables Used in AI Endoscopy
7.2.5. Software Solutions for AI Integration
Chapter 8. AI in Endoscopy Market Segmentation 4: By Component, Estimates & Trend Analysis
8.1. Market Share by Component, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Component:
8.2.1. Hardware
8.2.2. Software
8.2.3. Services
Chapter 9. AI in Endoscopy Market Segmentation 5: By Deployment Mode, Estimates & Trend Analysis
9.1. Market Share by Deployment Mode, 2024 & 2034
9.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment Mode:
9.2.1. Cloud-Based
9.2.2. On-Premise
9.2.3. Hybrid
Chapter 10. AI in Endoscopy Market Segmentation 6: By Functionality, Estimates & Trend Analysis
10.1. Market Share by Functionality, 2024 & 2034
10.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Functionality:
10.2.1. Image Capture and Processing
10.2.2. Data Management
10.2.3. Enhanced Visualization
10.2.4. Real-time Decision Support
10.2.5. Training and Simulation Systems
Chapter 11. AI in Endoscopy Market Segmentation 8: Regional Estimates & Trend Analysis
11.1. Global AI in Endoscopy Market, Regional Snapshot 2024 & 2034
11.2. North America
11.2.1. North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.2.1.1. US
11.2.1.2. Canada
11.2.2. North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.2.3. North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.2.4. North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.2.5. North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.2.6. North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.2.7. North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
11.3. Europe
11.3.1. Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.3.1.1. Germany
11.3.1.2. U.K.
11.3.1.3. France
11.3.1.4. Italy
11.3.1.5. Spain
11.3.1.6. Rest of Europe
11.3.2. Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.3.3. Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.3.4. Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.3.5. Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.3.6. Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.3.7. Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
11.4. Asia Pacific
11.4.1. Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.4.1.1. India
11.4.1.2. China
11.4.1.3. Japan
11.4.1.4. Australia
11.4.1.5. South Korea
11.4.1.6. Hong Kong
11.4.1.7. Southeast Asia
11.4.1.8. Rest of Asia Pacific
11.4.2. Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.4.3. Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.4.4. Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.4.5. Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.4.6. Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.4.7. Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
11.5. Latin America
11.5.1. Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.5.1.1. Brazil
11.5.1.2. Mexico
11.5.1.3. Rest of Latin America
11.5.2. Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.5.3. Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.5.4. Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.5.5. Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.5.6. Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.5.7. Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
11.6. Middle East & Africa
11.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
11.6.1.1. GCC Countries
11.6.1.2. Israel
11.6.1.3. South Africa
11.6.1.4. Rest of Middle East and Africa
11.6.2. Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.6.3. Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.6.4. Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.6.5. Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.6.6. Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.6.7. Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
Chapter 12. Competitive Landscape
12.1. Major Mergers and Acquisitions/Strategic Alliances
12.2. Company Profiles
12.2.1. Ambu (Denmark)
12.2.1.1. Business Overview
12.2.1.2. Key Type/Service Overview
12.2.1.3. Financial Performance
12.2.1.4. Geographical Presence
12.2.1.5. Recent Developments with Business Strategy
12.2.2. Fujifilm (Japan)
12.2.3. Hoya (Japan)
12.2.4. Intuitive Surgical (US)
12.2.5. Iterative Scopes (US)
12.2.6. Magentiq Eye (Israel)
12.2.7. Medtronic (Ireland)
12.2.8. NEC (Japan)
12.2.9. Olympus (Japan)
12.2.10. PENTAX Medical (Japan)
12.2.11. Wision Al (China)
12.2.12. Wuhan EndoAngel Medical Technology (China) L
AI in Endoscopy Market by Type of Endoscopy-
· Gastrointestinal Endoscopy
· Urological Endoscopy
· Respiratory Endoscopy
· Colonoscopy
· Other Types
AI in Endoscopy Market by Type of Component-
· Hardware
· Software
· Services
AI in Endoscopy Market by Type of CAD-
· CADx
· CADe
AI in Endoscopy Market by Type of Technology-
· Cloud
· Hybrid
· On-Premises
AI in Endoscopy Market by Type of Functionality-
· Image Capture and Processing
· Data Management
· Enhanced Visualization
· Real-time Decision Support
· Training and Simulation Systems
AI in Endoscopy Market by Type of Product-
· AI-Driven Imaging Systems
· AI-Powered Endoscopic Equipment
· Wearable Endoscopy Devices
· Consumables Used in AI Endoscopy
· Software Solutions for AI Integration
AI in Endoscopy Market by Region-
North America-
· The US
· Canada
Europe-
· Germany
· The UK
· France
· Italy
· Spain
· Rest of Europe
Asia-Pacific-
· China
· Japan
· India
· South Korea
· Southeast Asia
· Rest of Asia Pacific
Latin America-
· Brazil
· Mexico
· Rest of Latin America
Middle East & Africa-
· GCC Countries
· South Africa
· Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
