According to our (Global Info Research) latest study, the global AI Endoscopy Software market size was valued at US$ 882 million in 2025 and is forecast to a readjusted size of US$ 1590 million by 2032 with a CAGR of 8.9% during review period.
Artificial intelligence endoscopy software is an auxiliary tool that combines AI technologies such as deep learning with medical endoscopic examinations. In endoscopic diagnosis and treatment scenarios such as the digestive and respiratory tracts, it automatically identifies and marks the location of lesions such as polyps and early-stage cancers by analyzing real-time images. It can also assist in judging the nature of lesions, assessing the quality of the operation, and providing doctors with a "second opinion." At its core, it uses an algorithm model trained on massive amounts of medical images to improve the lesion detection rate, reduce missed diagnoses, and reduce the workload of doctors. In particular, it helps primary hospitals standardize diagnosis and treatment procedures, making early disease screening more accurate and efficient, and securing the best treatment opportunity for patients.
The upstream of the AI endoscopy software industry chain mainly includes medical imaging data sources, GPU/AI acceleration chips, deep learning frameworks, annotation platforms, and hospital imaging system interfaces. Data sources are provided by large hospitals and multi-center clinical databases, serving as the core resource for algorithm training. Chips and computing power are primarily provided by NVIDIA, Intel, and domestic AI inference chip suppliers. Algorithm training relies on frameworks such as TensorFlow and PyTorch. Imaging interfaces come from hospital HIS/PACS/endoscopy system manufacturers. Downstream applications are mainly concentrated in the gastroenterology, endoscopy, respiratory, and general surgery departments of general hospitals. Gastroenterology endoscopy has the strongest demand due to the huge annual volume of gastrointestinal endoscopy examinations and the high risk of missed early cancers and polyps. AI software can provide real-time lesion identification, quality control, and lesion annotation suggestions, significantly reducing experience-based discrepancies, making it the scenario hospitals are most willing to pay for. In respiratory medicine, AI for bronchoscopy is used for lesion localization and navigation, but its commercial value is relatively limited due to the small number of cases. In general surgery, it is mainly used for anatomical structure identification and risk structure alerts during laparoscopic surgery; its adoption is constrained by strict regulatory requirements and doctors' high demands for algorithm reliability. Health checkup centers and chain endoscopy centers, with their strong demand for standardized processes, have become a rapidly growing downstream customer group. AI can improve the homogeneity of examinations, reduce human error, and increase efficiency.
The industry's development trend shows a shift from single lesion identification to comprehensive multi-disease identification, and from real-time assistance to intelligent quality control and surgical decision support. Simultaneously, software is gradually decoupling from hardware platforms, achieving cross-brand compatibility with endoscopy equipment. Driving factors include rising demand for gastrointestinal cancer screening, hospitals' strong desire to reduce missed diagnoses, enhanced real-time inference capabilities brought about by mature AI technology, increasingly clear regulatory definitions of AI medical software categories, and the advancement of hospital digitalization. Obstacles include the difficulty in obtaining high-quality labeled data, significant differences in algorithm generalization capabilities across different hospitals, complex compatibility between hospital networks and endoscopy systems, varying levels of psychological acceptance among doctors regarding AI reliance, long regulatory approval cycles affecting the speed of commercialization, and high product prices limiting adoption in primary care hospitals.
The software product team can complete approximately 300–800 hospital-side deployments annually, with a gross profit margin of 70%–85%.
This report is a detailed and comprehensive analysis for global AI Endoscopy Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Endoscopy Software market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI Endoscopy Software market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI Endoscopy Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI Endoscopy Software market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Endoscopy Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Endoscopy Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Cosmo Pharmaceuticals, Medtronic plc, Olympus Corporation, FUJIFILM Corporation, HOYA Corporation, NEC Corporation, AI Medical Service Inc., Shanghai Wision AI Co., Ltd., Wuhan EndoAngel Medical Technology Co., Ltd., Iterative Health, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Endoscopy Software market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
CADe (Computer-Aided Detection)
CADx (Computer-Aided Diagnosis)
Market segment by Deployment Methods
Edge AI
Cloud AI Analysis Platform
Standalone AI Box
Market segment by Output Format
Real-time Assistance
Post-event Image Review
Quality Control Report
Market segment by Application
Gastroenterology
Pulmonary Medicine
Urology
Otolaryngology (ENT)
Other
Market segment by players, this report covers
Cosmo Pharmaceuticals
Medtronic plc
Olympus Corporation
FUJIFILM Corporation
HOYA Corporation
NEC Corporation
AI Medical Service Inc.
Shanghai Wision AI Co., Ltd.
Wuhan EndoAngel Medical Technology Co., Ltd.
Iterative Health
Magentiq Eye Ltd.
Dova Health Intelligence Inc.
Virgo Surgical Video Solutions, Inc.
Cybernet Systems
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Endoscopy Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Endoscopy Software, with revenue, gross margin, and global market share of AI Endoscopy Software from 2021 to 2026.
Chapter 3, the AI Endoscopy Software competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI Endoscopy Software market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Endoscopy Software.
Chapter 13, to describe AI Endoscopy Software research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Endoscopy Software. Industry analysis & Market Report on AI Endoscopy Software is a syndicated market report, published as Global AI Endoscopy Software Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI Endoscopy Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.