AI in Endoscopy Market
Report ID: SQMIG35D2504
Report ID: SQMIG35D2504
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Report ID:
SQMIG35D2504 |
Region:
Global |
Published Date: June, 2026
Pages:
157
|Tables:
115
|Figures:
77
Global Ai In Endoscopy Market size was valued at USD 1.20 Billion in 2024 and is poised to grow from USD 1.27 Billion in 2025 to USD 1.98 Billion by 2033, growing at a CAGR of 5.7% during the forecast period (2026-2033).
The major driving force behind the AI and image processor used to improve clinical outcomes AI in endoscopy market growth is the need to improve early detection and accuracy of diagnosis of gastrointestinal disease, and in particular colorectal cancer; therefore healthcare providers and device manufacturers have pursued automating the identification of lesions through lesions through the evolution of the market from simple image enhancement to convolutional neural network based models that have been tested in multi-site examinations to commercialised products (Medtronic's GI Genius) to date demonstrate measurable improvements in diagnostic rate of adenomas at the point of care.
Similar to the regulatory approval process, the adoption of digital endoscopes and the acceptance from endoscopists are all contributing to the accelerated commercialisation and reimbursement discussions for AI tools in the market. Furthermore, the driving growth factor for AI use within the field of endoscopy is the proven value of AI tools as it relates to improved workflow and cost savings associated with improved rates of detection rate of adenomas, reduced time for interpretation of lesions; which will then lead to fewer follow-up procedures by hospitals and improved capacity for endoscopy across the board.
As a result of this documented and measurable value, which provides more interest by payers and systems into the commercialisation of AI tools, there is increased investment and partnerships being formed between endoscopy device manufactures and AI startup companies to embed device analytics into their products and platforms. The end result of these real life tests of implementing AI tools into colorectal cancer screenings and at tertiary facilities (fewer missed lesions and shorter length of time to report results) presents opportunities for expansion of the solutions into low resource settings and to other applications like inflammatory bowel disease.
How is AI Improving Diagnostic Accuracy in the Endoscopy Market?
Artificial intelligence has been used in the endoscopic sector to increase diagnostic accuracy by assisting physicians with real-time lesion detection, automatic characterisation of lesions and improved imaging. Key components of this are: the use of computers to assist in detecting lesions earlier through the ability of a computer to help physicians recognize subtle findings earlier (computer-aided detection or CAD), using computers to help assess risk better (computer-aided diagnosis or CAD) and allowing for better integration of computer technology into the endoscopic procedure to reduce variability in practice.
The current situation is one where there is an increase and improvement of clinical validation with respect to using AI in endoscopy market trends from both devices manufacturers and hospitals since AI can help reduce the number of missed lesions, aid less experienced endoscopists and make findings from endoscopy procedures more definitive. Examples include available commercially AI-assisted detection systems and AI-assisted imaging systems that can be used with optical technology to improve the consistency of results.
In February 2026 Olympus released the EAGLE trial which documented the use of its CADDIE cloud-based AI to achieve improved detection of high-risk colorectal lesions and demonstrate the real world benefits of using this technology at the time of the trial in order to support increased use by creating justification for hospitals to adopt the AI technology and expedite the formation of partnerships that expand the utility and efficiency of AI in healthcare delivery.
Market snapshot - (2026-2033)
Global Market Size
USD 1.2 Billion
Largest Segment
Endoscopic Devices
Fastest Growth
AI Algorithms
Growth Rate
5.7% CAGR
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Global ai in endoscopy market is segmented by technological type, application area, end-user, deployment mode and region. Based on technological type, the market is segmented into AI algorithms and endoscopic devices. Based on application area, the market is segmented into gastroenterology, pulmonology and urology. Based on end-user, the market is segmented into hospitals, ambulatory surgical centers and clinics. Based on deployment mode, the market is segmented into on-premises and cloud-based. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
The most significant aspect of AI algorithms segment is that they provide the main data analytics capability for converting raw endoscopes into usable diagnostic information through analytic capability to recognizably identify and classify lesions. This makes the use of algorithms for triaging and supporting clinical decisions practical because they consist of highly developed algorithms with an established pattern-matching function and validated against clinical outcomes. Manufacturers are actively supporting model development and validation with investments, regulatory clearances, and workflow integration with existing imaging solutions, creating a demand for these products that supports the widespread adoption of AI algorithms as the primary value driver behind the endoscopy solutions.
Electrical endoscopic devices are, however, seeing the fastest growth because manufacturers are integrating intelligent sensors and computing capabilities at the device level, providing real-time guidance during procedures. Improvements to lenses, miniaturizing processors, and better integration between hardware and software are increasing the number of potential procedures and driving partnerships between original equipment manufacturers to accelerate the deployment of products to all care settings and to create additional opportunities for growth of products in clinical practice.
The on-premises sector has the biggest portion of the overall market share due to a number of factors, the most important being that most healthcare facilities require strict control of endoscopy data and AI processes to ensure that they comply with regulations and do not violate patient privacy. By keeping the data on-site, and in close proximity to endoscopy procedures, latency for providing accurate clinical diagnoses can be essentially eliminated, and integration into the current systems used by hospitals to store and manage patient records is easier, therefore healthcare facilities tend to favor on-premise solutions when evaluating IT governance relative to the use of their data.
As more and more hospitals begin to implement AI workflows, vendor managed services and secure data enclave technologies are enabling these hospitals to easily obtain real-time competitive intelligence on the best-practice AI applications that they need to implement so that they can provide their patients with the highest level of care. With these same technologies, healthcare facilities are also able to make use of secure remote validation methods; which allow AI-driven decisions to be made by a wide variety of sources along various care-patient pathways.
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North America is the leader in the adoption of new medical technologies because it has many characteristics that make it easy to develop and implement those new technologies: there are well-developed clinical application pathways at academic hospitals and specialty clinics, which are leading innovators in their fields; there are also developed regulatory pathways for establishing appropriate standards for the quality of technology needed to provide safe and effective therapy to patients. In addition, there exist many well-established companies that produce the medical technology being developed and there is a great deal of active investment in digital healthcare technology, which fosters a cycle of innovation, evidence generation, and an increasing rate of adoption of new medical technologies in all clinical settings.
AI in endoscopy market share in United States benefits from a dense concentration of tertiary hospitals and research institutions that prioritize clinical validation and workflow integration. Collaboration between technology vendors and specialist clinicians accelerates device refinement and real world deployment. Favorable reimbursement pathways and active private investment support commercialization, while large clinical datasets and established endoscopy practice patterns enable iterative algorithm improvement and broader implementation in community hospital networks. Adoption tends to be clinician driven and concentrated in centers of excellence.
AI in endoscopy market regional outlook in Canada is shaped by integrated health systems and strong ties between provincial health authorities and academic research centers, facilitating coordinated evaluation and implementation. Emphasis on evidence based adoption and multicenter validation supports cautious but steady clinical integration. Local technology collaborations focus on interoperability and alignment with existing electronic health record systems. Implementation often targets tertiary care hubs first, with subsequent diffusion to regional hospitals as clinical value is demonstrated.
The rapid growth in Europe, and more specifically, the rapid expansion in Europe, is attributed to clinical need and priorities pertaining to early detection, collaboration in research, and regulatory structures supporting new and innovative medical devices. Each member state has established a national screening program and quality assurance practices, which define straight use cases for solutions that will improve detection of lesions, as well as the consistency of the diagnosis across different settings of care. European academic hospitals and specialty hospital programs help create evidence across many sites that lead to accepting the technology clinically; there is also a robust and growing medical technology industry that is developing new technologies locally, as well as enabling new partnerships between clinical networks and technology companies. Health systems focused on improving quality of care affordably view AI enhanced endoscopy tools as ways to not only improve the accuracy of diagnoses but also standardize the provision of care and thus encourage both pilot implementations and larger, more coordinated rollout plans throughout Europe.
AI in endoscopy market regional forecast in Germany is characterized by a strong medical device industry and extensive hospital networks that prioritize procedural quality and documentation. German clinical centers contribute substantial real world evidence through multicenter collaborations, informing guideline discussion and adoption strategies. Close engagement between clinicians, industry, and regulatory experts facilitates integration into established endoscopy workflows. Reimbursement structures and high procedural focus in specialized centers create an environment where technological enhancements that improve diagnostic yield receive concentrated attention.
AI in endoscopy market penetration in United Kingdom is propelled by centralized health system initiatives that enable coordinated evaluation and rapid scaling of validated technologies. National clinical programs and organized screening efforts provide clear use cases for AI driven detection and quality assurance. Robust health technology assessment processes and collaborative pilot implementations facilitate evidence based adoption, while close ties between clinical research units and technology developers accelerate validation and deployment across both tertiary centers and community services.
AI in endoscopy market analysis in France shows emerging momentum driven by strong clinical research centers and government supported innovation programs. Adoption is shaped by thorough clinical validation and alignment with national health priorities, resulting in carefully staged implementation in major hospital networks. Partnerships between technology providers and academic institutions emphasize interoperability and clinician training. The market is marked by methodical uptake as stakeholders balance enthusiasm for innovation with a focus on demonstrable clinical benefit and integration into existing care pathways.
In the Asia Pacific Region, a strategic approach is being adopted to strengthen healthcare systems via investment in infrastructure and technology; developing locally relevant artificial intelligence capabilities and establishing partnerships between companies involved in Information Technology and those involved in providing patient care. In addition, using regional centres of excellence, validation studies are being completed within each country, demonstrating the effectiveness of pilot solutions which have been developed locally based upon the unique characteristics of local clinical practices and the profile of local patients, resulting in increased acceptance and suitability for use in the region. This is being achieved through government and industry working together to develop clearer regulatory guidelines; and to develop advanced information technology (IT) solutions to enable the seamless integration of these solutions across hospitals and imaging platforms in selected countries. In addition to the importance of developing a robust IT infrastructure to support the integration of medical AI across all areas of patient care, the emphasis on clinician training, interoperability, and localising algorithms will enable the transition from pilot projects toward widespread clinical implementation and the development of home-grown innovation which will be translatable across multiple settings within the healthcare ecosystem.
AI in endoscopy industry in Japan benefits from a sophisticated medical device sector and a network of advanced clinical centers that emphasize rigorous evaluation. Manufacturers and hospitals collaborate on localized algorithm development that aligns with clinical practice patterns, and regulatory frameworks support clinical trials and market access. Adoption tends to be driven by evidence generation in tertiary institutions, with emphasis on integration into established endoscopy workflows and clinician training to ensure reproducible diagnostic improvements.
AI in endoscopy industry outlook in South Korea leverages a highly developed information technology ecosystem and strong government and industry support for AI innovation. Technology companies partner closely with leading hospitals to rapidly prototype and validate endoscopy solutions, emphasizing seamless integration with digital health infrastructure. Clinician engagement and agile implementation pathways facilitate early adoption in specialized centers, while a focus on commercialization supports scaling solutions domestically and into regional markets.
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Advances In Image Analysis
Integration With Endoscopic Systems
Regulatory Approval Complexity
Data Privacy And Security Concerns
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Competitive dynamics in global AI in endoscopy are driven by large device makers using acquisitions, distribution agreements and AI platform integration to secure market share, while startups pursue niche algorithmic innovation and clinical validation. Examples include Medtronic expanding its GI Genius partnership with Cosmo and NVIDIA integration, Olympus acquisition of Odin Vision, and Wision AI securing CE mark and U.S. distribution deals, which intensify product and channel competition.
Top Player’s Company Profile
Recent Developments in the AI in Endoscopy Market
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research. As per SkyQuest analysis, the global AI in endoscopy market is propelled by strong clinical demand for earlier and more accurate detection of gastrointestinal lesions. A key driver is the urgent need to improve diagnostic accuracy and reduce missed lesions, and a second driver is advances in image analysis that enable real time lesion detection and characterization. A restraint is regulatory approval complexity and data privacy requirements that slow commercialization and cross-border deployment. The dominating region is North America due to advanced clinical ecosystems, and the dominating segment is AI algorithms, which provide the core analytic capability driving adoption, integration and validation across hospitals and screening programs.
| Report Metric | Details |
|---|---|
| Market size value in 2024 | USD 1.2 Billion |
| Market size value in 2033 | USD 1.98 Billion |
| Growth Rate | 5.7% |
| Base year | 2024 |
| Forecast period | (2026-2033) |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the AI in Endoscopy Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the AI in Endoscopy Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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With the given market data, our dedicated team of analysts can offer you the following customization options are available for the AI in Endoscopy Market:
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Global Ai In Endoscopy Market size was valued at USD 1.2 Billion in 2024 and is poised to grow from USD 1.27 Billion in 2025 to USD 1.98 Billion by 2033, growing at a CAGR of 5.7% during the forecast period (2026-2033).
Competitive dynamics in global AI in endoscopy are driven by large device makers using acquisitions, distribution agreements and AI platform integration to secure market share, while startups pursue niche algorithmic innovation and clinical validation. Examples include Medtronic expanding its GI Genius partnership with Cosmo and NVIDIA integration, Olympus acquisition of Odin Vision, and Wision AI securing CE mark and U.S. distribution deals, which intensify product and channel competition. 'Medtronic', 'Olympus Corporation', 'Stryker Corporation', 'Siemens Healthineers', 'Boston Scientific', 'Pentax Medical', 'Fujifilm Medical Systems', 'EndoBrite', 'Intuitive Surgical', 'CMR Surgical', 'Sensei robotic systems', 'Smart Medical Systems', 'Zebra Medical Vision', 'Evisive', 'Cytosurge AG', 'Provation Medical', 'Aiforia Technologies', 'HistoSonics', 'Medtronic Micra', 'AiCure'
Advances in image analysis have improved lesion detection, characterization, and visualization during endoscopic procedures, leading clinicians to adopt AI tools that enhance diagnostic confidence and procedural efficiency. Enhanced algorithms enable clearer differentiation of tissue features and reduce reliance on subjective interpretation, which encourages hospitals and manufacturers to integrate AI into existing endoscopy platforms. These improvements support more consistent clinical outcomes, simplify workflow for endoscopists, and create clearer value propositions for procurement and training, thereby driving broader market acceptance and accelerating investment and product development in the sector.
Workflow Integration And Efficiency: Clinical teams increasingly seek AI tools that integrate smoothly with existing endoscopy workflows, enhancing efficiency across scheduling, reporting, and intra-procedural decision support. Vendors are prioritizing interoperable solutions that reduce cognitive load, automate routine documentation, and support real-time guidance without disrupting clinician autonomy. This trend drives partnerships between software developers and device manufacturers, and encourages user-centric design that aligns with clinical pathways. Consequently, adoption is influenced by demonstrated time savings, improved team coordination, and seamless incorporation into hospital information systems infrastructure.
Why does North America Dominate the Global AI in Endoscopy Market? |@12
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