The artificial intelligence (ai) in endoscopy market size has grown exponentially in recent years. It will grow from $13.52 billion in 2025 to $17.34 billion in 2026 at a compound annual growth rate (CAGR) of 28.3%. The growth in the historic period can be attributed to rising prevalence of gastrointestinal and colorectal diseases, limitations of conventional endoscopic interpretation, growing endoscopy procedure volumes, increasing awareness of early cancer detection, adoption of digital endoscopy platforms.
The artificial intelligence (ai) in endoscopy market size is expected to see exponential growth in the next few years. It will grow to $46.53 billion in 2030 at a compound annual growth rate (CAGR) of 28%. The growth in the forecast period can be attributed to advancements in machine learning algorithms for medical imaging, increasing investment in ai-enabled healthcare solutions, expansion of minimally invasive diagnostic procedures, growing acceptance of clinical decision support tools, supportive regulatory frameworks for ai-based medical devices. Major trends in the forecast period include growing adoption of real-time lesion detection during endoscopy, increasing integration of ai software with existing endoscopic systems, rising demand for improved diagnostic accuracy and reduced missed lesions, expansion of ai-assisted training and simulation in endoscopy, greater focus on workflow efficiency and procedure standardization.
The increasing prevalence of gastrointestinal diseases is expected to drive the growth of the artificial intelligence (AI) in endoscopy market in the coming years. Gastrointestinal diseases encompass various conditions affecting the digestive tract, causing symptoms such as abdominal pain, bloating, and changes in bowel habits. This rise is attributed to the growing consumption of ultra-processed foods, which disrupt the gut microbiota and lead to chronic inflammation and digestive problems. AI in endoscopy enhances the diagnosis of gastrointestinal diseases by accurately analyzing images in real time to identify abnormalities. It supports early intervention, reduces errors, and improves patient outcomes. For example, in December 2023, according to the IBD Registry, a UK-based non-profit organization, the number of individuals with inflammatory bowel disease (IBD) enrolled in the registry surpassed 5,300 in 2023, marking an increase of more than 3,000 compared to 2022. Thus, the rising prevalence of gastrointestinal diseases is fueling the AI in endoscopy market.
Key players in the artificial intelligence in endoscopy market are concentrating on developing advanced technologies such as AI-powered real-time lesion detection systems to improve clinical decision-making during gastrointestinal examinations. These AI-powered systems are sophisticated software tools that continuously analyze live endoscopic video streams to accurately detect and highlight suspicious lesions, including polyps and tumors, during procedures. For instance, in August 2024, Ainex Corporation, a Singapore-based medical technology firm, launched the Endoscopy AI system to boost real-time detection and diagnosis of gastrointestinal abnormalities during endoscopies. Integrated with advanced machine learning algorithms, it identifies gastrointestinal lesions during upper and lower endoscopy, enhancing diagnostic precision, reducing false positives, and improving visualization of mucosal abnormalities. This technology is designed to streamline clinical workflows, shorten procedure times, and enable earlier detection of gastrointestinal cancers and other diseases.
In June 2023, Olympus Corporation, a medical technology company based in Japan, acquired Odin Vision Ltd. for $77.47 million (£66 million). Through this acquisition, Olympus aims to accelerate its digital transformation in endoscopy by incorporating Odin Vision’s cloud-based AI solutions for real-time polyp detection and cancer diagnostics. This integration is expected to enhance clinical workflows, improve patient outcomes, and expand global access to advanced imaging technologies. Odin Vision Ltd. is a UK-based firm specializing in artificial intelligence technology for endoscopy.
Major companies operating in the artificial intelligence (ai) in endoscopy market are Medtronic plc, Fujifilm Holdings Corporation, Olympus Corporation, Iterative Health, CapsoVision Inc, EndoSoft Inc, Mauna Kea Technologies SA, LPixel Inc, Sky Engine Limited, Endovision Limited, BioCam Sp z o o, MAIA Labs Inc, Magentiq Eye Ltd, EndoSurg AI Inc, iEndoscopic GmbH, Intelliscopes LLC, Odin Vision, Wision AI, NEC Corporation Medical AI, Shanghai Wision AI Co Ltd, Shanghai Ankon Technologies Co Ltd, Fujifilm Medical AI Solutions.
North America was the largest region in the artificial intelligence (AI) in endoscopy market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in endoscopy market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in endoscopy market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are impacting the artificial intelligence in endoscopy market by increasing costs associated with imported imaging hardware, sensors, and computing components required for ai-enabled systems. Product segments such as ai-driven imaging systems and robotic-assisted endoscopic equipment are most affected, particularly in Asia-Pacific and Europe where manufacturing and cross-border technology trade are prominent. These cost pressures can slow adoption in price-sensitive healthcare facilities. However, tariffs are also encouraging regional manufacturing, local software development, and strategic partnerships, supporting long-term market resilience and innovation.
The artificial intelligence (AI) in endoscopy market research report is one of a series of new reports that provides artificial intelligence (AI) in endoscopy market statistics, including artificial intelligence (AI) in endoscopy industry global market size, regional shares, competitors with a artificial intelligence (AI) in endoscopy market share, detailed artificial intelligence (AI) in endoscopy market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in endoscopy industry. This artificial intelligence (AI) in endoscopy market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Artificial intelligence (AI) in endoscopy involves the use of computer algorithms and machine learning techniques to support the detection, diagnosis, and classification of abnormalities during endoscopic procedures. It enhances clinical decision-making by offering real-time image analysis, improving accuracy, and reducing the likelihood of missed lesions.
The primary product types of artificial intelligence (AI) in endoscopy include AI-driven imaging systems, AI-powered endoscopic equipment, wearable endoscopy devices, consumables used in AI endoscopy, and software solutions for AI integration. AI-driven imaging systems are advanced diagnostic platforms that utilize AI algorithms to enhance endoscopic images, enabling automated abnormality detection and improved diagnostic accuracy for early disease identification. These systems offer functionalities such as image capture and processing, data management, enhanced visualization, real-time decision support, and training and simulation, and are applied across gastrointestinal, respiratory, urological, cardiovascular, and neurological endoscopy. The key end users comprise hospitals, diagnostic laboratories, outpatient surgical centers, research institutions, and specialized clinics.
The artificial intelligence (AI) in endoscopy market consists of revenues earned by entities by providing services such as real-time image analysis, lesion detection and classification, polyp detection, procedural guidance, and diagnostic decision support. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in endoscopy market includes sales of artificial intelligence integration endoscopy systems, artificial intelligence-powered decision support tools, artificial intelligence-enhanced video and image products, and artificial intelligence-enhanced light source systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
The artificial intelligence (ai) in endoscopy market size is expected to see exponential growth in the next few years. It will grow to $46.53 billion in 2030 at a compound annual growth rate (CAGR) of 28%. The growth in the forecast period can be attributed to advancements in machine learning algorithms for medical imaging, increasing investment in ai-enabled healthcare solutions, expansion of minimally invasive diagnostic procedures, growing acceptance of clinical decision support tools, supportive regulatory frameworks for ai-based medical devices. Major trends in the forecast period include growing adoption of real-time lesion detection during endoscopy, increasing integration of ai software with existing endoscopic systems, rising demand for improved diagnostic accuracy and reduced missed lesions, expansion of ai-assisted training and simulation in endoscopy, greater focus on workflow efficiency and procedure standardization.
The increasing prevalence of gastrointestinal diseases is expected to drive the growth of the artificial intelligence (AI) in endoscopy market in the coming years. Gastrointestinal diseases encompass various conditions affecting the digestive tract, causing symptoms such as abdominal pain, bloating, and changes in bowel habits. This rise is attributed to the growing consumption of ultra-processed foods, which disrupt the gut microbiota and lead to chronic inflammation and digestive problems. AI in endoscopy enhances the diagnosis of gastrointestinal diseases by accurately analyzing images in real time to identify abnormalities. It supports early intervention, reduces errors, and improves patient outcomes. For example, in December 2023, according to the IBD Registry, a UK-based non-profit organization, the number of individuals with inflammatory bowel disease (IBD) enrolled in the registry surpassed 5,300 in 2023, marking an increase of more than 3,000 compared to 2022. Thus, the rising prevalence of gastrointestinal diseases is fueling the AI in endoscopy market.
Key players in the artificial intelligence in endoscopy market are concentrating on developing advanced technologies such as AI-powered real-time lesion detection systems to improve clinical decision-making during gastrointestinal examinations. These AI-powered systems are sophisticated software tools that continuously analyze live endoscopic video streams to accurately detect and highlight suspicious lesions, including polyps and tumors, during procedures. For instance, in August 2024, Ainex Corporation, a Singapore-based medical technology firm, launched the Endoscopy AI system to boost real-time detection and diagnosis of gastrointestinal abnormalities during endoscopies. Integrated with advanced machine learning algorithms, it identifies gastrointestinal lesions during upper and lower endoscopy, enhancing diagnostic precision, reducing false positives, and improving visualization of mucosal abnormalities. This technology is designed to streamline clinical workflows, shorten procedure times, and enable earlier detection of gastrointestinal cancers and other diseases.
In June 2023, Olympus Corporation, a medical technology company based in Japan, acquired Odin Vision Ltd. for $77.47 million (£66 million). Through this acquisition, Olympus aims to accelerate its digital transformation in endoscopy by incorporating Odin Vision’s cloud-based AI solutions for real-time polyp detection and cancer diagnostics. This integration is expected to enhance clinical workflows, improve patient outcomes, and expand global access to advanced imaging technologies. Odin Vision Ltd. is a UK-based firm specializing in artificial intelligence technology for endoscopy.
Major companies operating in the artificial intelligence (ai) in endoscopy market are Medtronic plc, Fujifilm Holdings Corporation, Olympus Corporation, Iterative Health, CapsoVision Inc, EndoSoft Inc, Mauna Kea Technologies SA, LPixel Inc, Sky Engine Limited, Endovision Limited, BioCam Sp z o o, MAIA Labs Inc, Magentiq Eye Ltd, EndoSurg AI Inc, iEndoscopic GmbH, Intelliscopes LLC, Odin Vision, Wision AI, NEC Corporation Medical AI, Shanghai Wision AI Co Ltd, Shanghai Ankon Technologies Co Ltd, Fujifilm Medical AI Solutions.
North America was the largest region in the artificial intelligence (AI) in endoscopy market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in endoscopy market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in endoscopy market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are impacting the artificial intelligence in endoscopy market by increasing costs associated with imported imaging hardware, sensors, and computing components required for ai-enabled systems. Product segments such as ai-driven imaging systems and robotic-assisted endoscopic equipment are most affected, particularly in Asia-Pacific and Europe where manufacturing and cross-border technology trade are prominent. These cost pressures can slow adoption in price-sensitive healthcare facilities. However, tariffs are also encouraging regional manufacturing, local software development, and strategic partnerships, supporting long-term market resilience and innovation.
The artificial intelligence (AI) in endoscopy market research report is one of a series of new reports that provides artificial intelligence (AI) in endoscopy market statistics, including artificial intelligence (AI) in endoscopy industry global market size, regional shares, competitors with a artificial intelligence (AI) in endoscopy market share, detailed artificial intelligence (AI) in endoscopy market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in endoscopy industry. This artificial intelligence (AI) in endoscopy market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Artificial intelligence (AI) in endoscopy involves the use of computer algorithms and machine learning techniques to support the detection, diagnosis, and classification of abnormalities during endoscopic procedures. It enhances clinical decision-making by offering real-time image analysis, improving accuracy, and reducing the likelihood of missed lesions.
The primary product types of artificial intelligence (AI) in endoscopy include AI-driven imaging systems, AI-powered endoscopic equipment, wearable endoscopy devices, consumables used in AI endoscopy, and software solutions for AI integration. AI-driven imaging systems are advanced diagnostic platforms that utilize AI algorithms to enhance endoscopic images, enabling automated abnormality detection and improved diagnostic accuracy for early disease identification. These systems offer functionalities such as image capture and processing, data management, enhanced visualization, real-time decision support, and training and simulation, and are applied across gastrointestinal, respiratory, urological, cardiovascular, and neurological endoscopy. The key end users comprise hospitals, diagnostic laboratories, outpatient surgical centers, research institutions, and specialized clinics.
The artificial intelligence (AI) in endoscopy market consists of revenues earned by entities by providing services such as real-time image analysis, lesion detection and classification, polyp detection, procedural guidance, and diagnostic decision support. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in endoscopy market includes sales of artificial intelligence integration endoscopy systems, artificial intelligence-powered decision support tools, artificial intelligence-enhanced video and image products, and artificial intelligence-enhanced light source systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Artificial Intelligence (AI) in Endoscopy Market Characteristics
3. Artificial Intelligence (AI) in Endoscopy Market Supply Chain Analysis
4. Global Artificial Intelligence (AI) in Endoscopy Market Trends and Strategies
5. Artificial Intelligence (AI) in Endoscopy Market Analysis of End Use Industries
7. Global Artificial Intelligence (AI) in Endoscopy Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Artificial Intelligence (AI) in Endoscopy Total Addressable Market (TAM) Analysis for the Market
9. Artificial Intelligence (AI) in Endoscopy Market Segmentation
10. Artificial Intelligence (AI) in Endoscopy Market Regional and Country Analysis
11. Asia-Pacific Artificial Intelligence (AI) in Endoscopy Market
12. China Artificial Intelligence (AI) in Endoscopy Market
13. India Artificial Intelligence (AI) in Endoscopy Market
14. Japan Artificial Intelligence (AI) in Endoscopy Market
15. Australia Artificial Intelligence (AI) in Endoscopy Market
16. Indonesia Artificial Intelligence (AI) in Endoscopy Market
17. South Korea Artificial Intelligence (AI) in Endoscopy Market
18. Taiwan Artificial Intelligence (AI) in Endoscopy Market
19. South East Asia Artificial Intelligence (AI) in Endoscopy Market
20. Western Europe Artificial Intelligence (AI) in Endoscopy Market
21. UK Artificial Intelligence (AI) in Endoscopy Market
22. Germany Artificial Intelligence (AI) in Endoscopy Market
23. France Artificial Intelligence (AI) in Endoscopy Market
24. Italy Artificial Intelligence (AI) in Endoscopy Market
25. Spain Artificial Intelligence (AI) in Endoscopy Market
26. Eastern Europe Artificial Intelligence (AI) in Endoscopy Market
27. Russia Artificial Intelligence (AI) in Endoscopy Market
28. North America Artificial Intelligence (AI) in Endoscopy Market
29. USA Artificial Intelligence (AI) in Endoscopy Market
30. Canada Artificial Intelligence (AI) in Endoscopy Market
31. South America Artificial Intelligence (AI) in Endoscopy Market
32. Brazil Artificial Intelligence (AI) in Endoscopy Market
33. Middle East Artificial Intelligence (AI) in Endoscopy Market
34. Africa Artificial Intelligence (AI) in Endoscopy Market
36. Artificial Intelligence (AI) in Endoscopy Market Competitive Landscape and Company Profiles
37. Artificial Intelligence (AI) in Endoscopy Market Other Major and Innovative Companies
40. Artificial Intelligence (AI) in Endoscopy Market High Potential Countries, Segments and Strategies
41. Appendix
List of Tables
Executive Summary
Artificial Intelligence (AI) In Endoscopy Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) in endoscopy market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) in endoscopy? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in endoscopy market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Product Type: Artificial Intelligence-Driven Imaging Systems; Artificial Intelligence-Powered Endoscopic Equipment; Wearable Endoscopy Devices; Consumables Used In Artificial Intelligence Endoscopy; Software Solutions For Artificial Intelligence Integration2) By Functionality: Image Capture And Processing; Data Management; Enhanced Visualization; Real-Time Decision Support; Training And Simulation Systems
3) By Application: Gastrointestinal Endoscopy; Respiratory Endoscopy; Urological Endoscopy; Pancreatic Endoscopy; Neurological Endoscopy
4) By End-User: Hospitals; Endoscopy Centers; Outpatient Surgical Centers; Research Institutions; Specialized Clinics
Subsegments:
1) By Artificial Intelligence-Driven Imaging Systems: High Definition Imaging Platforms; Three-Dimensional (3D) Visualization Systems; Fluorescence-Based Imaging Devices; Low Light Sensitivity Imaging Systems; Contrast-Enhanced Endoscopic Imaging Systems2) By Artificial Intelligence-Powered Endoscopic Equipment: Flexible Endoscopic Systems With Artificial Intelligence Integration; Rigid Endoscopic Systems With Artificial Intelligence Support; Capsule-Based Endoscopic Devices With Smart Processing; Robotic Assisted Endoscopic Instrumentation; Navigation-Enabled Endoscopic Equipment With Artificial Intelligence
3) By Wearable Endoscopy Devices: Swallowable Capsule Endoscopy Units; Sensor Integrated Wearable Endoscopy Devices; Wireless Data Enabled Endoscopic Monitoring Devices; Artificial Intelligence-Based Wearable Imaging Systems; Miniature High Resolution Endoscopic Cameras
4) By Consumables Used In Artificial Intelligence Endoscopy: Biopsy Forceps Compatible With Artificial Intelligence Systems; Single Use Endoscopic Protective Sheaths; Medical-Grade Contrast Media For Enhanced Imaging; Artificial Intelligence Compatible Irrigation Tubing; Disposable Accessories For Visualization And Sampling
5) By Software Solutions For Artificial Intelligence Integration: Real-Time Lesion Detection Software Modules; Computer-Aided Diagnostic Imaging Platforms; Cloud-Based Endoscopic Data Management Systems; Image Segmentation And Classification Software Tools; Data Visualization And Automated Reporting Interfaces
Companies Mentioned: Medtronic plc; Fujifilm Holdings Corporation; Olympus Corporation; Iterative Health; CapsoVision Inc; EndoSoft Inc; Mauna Kea Technologies SA; LPixel Inc; Sky Engine Limited; Endovision Limited; BioCam Sp z o o; MAIA Labs Inc; Magentiq Eye Ltd; EndoSurg AI Inc; iEndoscopic GmbH; Intelliscopes LLC; Odin Vision; Wision AI; NEC Corporation Medical AI; Shanghai Wision AI Co Ltd; Shanghai Ankon Technologies Co Ltd; Fujifilm Medical AI Solutions
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this AI in Endoscopy market report include:- Medtronic plc
- Fujifilm Holdings Corporation
- Olympus Corporation
- Iterative Health
- CapsoVision Inc
- EndoSoft Inc
- Mauna Kea Technologies SA
- LPixel Inc
- Sky Engine Limited
- Endovision Limited
- BioCam Sp z o o
- MAIA Labs Inc
- Magentiq Eye Ltd
- EndoSurg AI Inc
- iEndoscopic GmbH
- Intelliscopes LLC
- Odin Vision
- Wision AI
- NEC Corporation Medical AI
- Shanghai Wision AI Co Ltd
- Shanghai Ankon Technologies Co Ltd
- Fujifilm Medical AI Solutions
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 17.34 Billion |
| Forecasted Market Value ( USD | $ 46.53 Billion |
| Compound Annual Growth Rate | 28.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 23 |
