AI-enabled Endoscopy Market Size & Forecast Report - 2026 to 2030

The global AI-enabled endoscopy market size was valued at over USD 400 million in 2024 and projected to grow at a significant CAGR of around 22% during the forecast period from 2025 to 2030. The market is experiencing rapid growth as artificial intelligence technologies are increasingly integrated into endoscopic procedures to enhance diagnostic accuracy, workflow efficiency, and patient outcomes. These systems leverage machine learning and computer vision to detect abnormalities such as polyps, early-stage cancers, and gastrointestinal disorders with higher precision than conventional methods. Rising incidences of colorectal cancer, advancements in minimally invasive surgical procedures, and the growing demand for real-time diagnostic support are major drivers of this market. Furthermore, the adoption of AI in endoscopy aligns with the global push toward digital healthcare and precision medicine, creating strong opportunities for innovation and commercialization.

In addition, continuous technological improvements such as AI-assisted image recognition, cloud-based data management, and automated reporting are expanding clinical applications in gastroenterology, pulmonology, and urology. Strategic collaborations between medtech companies and AI startups are accelerating product launches and regulatory approvals, ensuring faster market penetration. Supportive regulatory frameworks, particularly in the U.S., Europe, and Asia-Pacific, are enabling the integration of AI-based tools into clinical practice. As healthcare systems seek to reduce diagnostic errors and improve cost efficiency, the AI-enabled endoscopy market is positioned for sustained growth, with leading players focusing on expanding their product portfolios and geographical presence.

Market Snapshot:

AI-enabled Endoscopy Market Key Drivers:

The global AI-enabled endoscopy market is propelled by the surging prevalence of gastrointestinal diseases—such as colorectal cancer, inflammatory bowel conditions, and GI bleeding—which fuels demand for more accurate, efficient, and minimally invasive diagnostic solutions. Innovations in computer-aided detection (CADe) and diagnosis (CADx), based on deep learning and real-time image analysis, are transforming lesion detection and characterization, enabling earlier intervention and reducing diagnostic errors. Additionally, healthcare systems worldwide are actively seeking technologies that optimize workflows and enhance throughput, especially under staffing pressures and cost constraints.

A notable recent development is Olympus—via its subsidiary Odin Vision—launching the CADDIE™ cloud-based AI CADe system, which secured FDA 510(k) clearance in September 2024. This breakthrough enables real-time polyp detection during colonoscopy, with the added advantage of remote, cloud-powered updates. Olympus plans to integrate CADDIE into its ambitious OLYSENSE™ endoscopy ecosystem, showcased at the Digestive Disease Week (DDW) 2025 meeting, demonstrating its potential to enhance detection capabilities while streamlining operational efficiency.

Industry Trends Shaping the AI-enabled Endoscopy Market

Technological Advancements Transforming Capabilities

The backbone of this growth is continuous technological innovation. AI-driven computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems are now capable of recognizing polyps, adenomas, and other abnormalities in real time, reducing missed lesions during colonoscopy and improving patient outcomes. Beyond detection, robotic endoscopy platforms are increasingly being combined with AI to allow smoother navigation, precision, and reduced strain on clinicians. Cloud-based AI solutions are also emerging, enabling hospitals to benefit from centralized updates, remote learning, and collaborative data analysis without needing to overhaul local infrastructure. Another critical trend is the expansion beyond GI use cases—AI is being integrated into pulmonology, urology, ENT, and bronchoscopy, broadening the commercial scope and clinical applications of these technologies.

Evolution of Business Models and Service Growth

While the current revenue pool is dominated by AI-enabled endoscopic products (devices, integrated systems, and software packages), the future of the industry is expected to tilt strongly towards services. These include integration of AI platforms into hospital IT systems, ongoing software updates, clinician training, and technical maintenance. Hospitals and diagnostic centers are increasingly seeking end-to-end solutions rather than just hardware, which is prompting companies to design modular AI ecosystems and recurring revenue models. This shift not only ensures long-term customer engagement but also lowers the barrier for healthcare providers who may hesitate to invest in expensive upfront hardware upgrades.

Regional Leadership and Growth Dynamics

The regional outlook of the market highlights diverse patterns of adoption. North America currently leads the market with over 1/3 market share, owing to strong healthcare infrastructure, early adoption of AI innovations, and supportive regulatory approvals from bodies like the FDA. Europe is steadily adopting AI-based endoscopy tools, supported by structured cancer screening programs, government funding for digital healthcare, and favorable reimbursement frameworks. On the other hand, Asia-Pacific is expected to grow at the fastest pace in the coming years. The region’s growth is driven by rising healthcare investments, a large patient population, increasing awareness of early cancer screening, and rapid adoption of cutting-edge medical technologies in countries like China, Japan, and India.

Efficiency Gains in Clinical Workflows

AI is transforming the efficiency of endoscopy procedures by automating routine tasks such as image annotation, polyp classification, and report generation. This automation reduces the workload on clinicians, shortens procedure times, and improves throughput in busy hospitals. For example, real-time AI alerts during colonoscopy can minimize the risk of missing adenomas, while automated reporting saves physicians time on post-procedure documentation. Additionally, AI platforms provide data-driven insights, allowing clinicians to assess performance, standardize procedures, and enhance training programs. These workflow efficiencies are proving particularly valuable in regions with limited healthcare staff or high patient volumes.

Market Opportunities in the AI-enabled Endoscopy Market:

The global AI-enabled endoscopy market presents significant opportunities as healthcare systems worldwide focus on improving diagnostic accuracy and efficiency in gastrointestinal and other endoscopic procedures. AI-powered systems have shown a strong potential to enhance adenoma and polyp detection rates, enabling early diagnosis of colorectal cancer and reducing human error in routine screenings. This creates a vast opportunity for market players to integrate AI into existing endoscopy platforms and expand its applications beyond gastroenterology to fields such as pulmonology, urology, and ENT. Moreover, as hospitals and clinics increasingly adopt digital health solutions, AI-enabled endoscopy offers cost-efficiency by reducing procedure time, minimizing repeat examinations, and improving patient outcomes, making it an attractive investment area.

Another major opportunity lies in the expansion into emerging markets and adoption of cloud-based AI systems. Developing regions in Asia-Pacific, Latin America, and Africa are seeing rising demand for advanced diagnostic tools due to a growing burden of gastrointestinal diseases and limited access to skilled specialists. Cloud-based AI endoscopy platforms can provide remote access, real-time updates, and continuous learning capabilities, enabling healthcare providers to bridge infrastructure gaps. Furthermore, collaborations between medtech companies and AI startups, along with favorable regulatory pathways, are creating opportunities for faster commercialization of innovative solutions. These factors position the AI-enabled endoscopy market for long-term growth as technology becomes a standard component of endoscopic practice globally.

Global AI-enabled Endoscopy Market Insights:

By Type: Polyp Detection Category Dominated the Global AI-enabled Endoscopy Market

The global AI-enabled endoscopy market is bifurcated into type, technology, application, end-user, and geography. On the basis of type, the polyp detection segment dominated the market in the benchmark year. This is because colorectal cancer remains one of the leading causes of cancer-related deaths globally, and the effectiveness of colonoscopy strongly depends on the adenoma and polyp detection rate. AI-powered polyp detection systems significantly reduce the chances of missed lesions, which can occur due to physician fatigue, inexperience, or poor visualization. By providing real-time alerts and visual markers during colonoscopies, these systems enhance accuracy, standardize procedure quality across practitioners, and ultimately improve patient outcomes. The increasing global push for early cancer detection and prevention programs has accelerated the adoption of AI in polyp detection, making it the most widely used application in clinical settings.

Furthermore, the dominance of polyp detection is reinforced by regulatory approvals and commercial launches from key market players. Many AI-enabled polyp detection solutions have already received clearance from authorities such as the U.S. FDA and European CE Mark, enabling widespread integration into routine practice. Hospitals and diagnostic centers prefer these systems due to their direct impact on reducing interval colorectal cancers and meeting quality benchmarks. Compared to other AI applications such as image segmentation or AI-assisted biopsy, polyp detection offers more immediate clinical and economic benefits, driving faster adoption. As a result, the polyp detection segment is expected to maintain its leadership position in the AI-enabled endoscopy market over the forecast period.

By Application: Colonoscopy Category Holds the Largest Share of AI-enabled Endoscopy Market

On the basis of application, the global AI-enabled endoscopy market is further segmented into colonoscopy, gastroscopy, bronchoscopy, capsule endoscopy, and laparoscopy. The colonoscopy segment dominated the global market in 2024. The primary reason for this dominance is the critical role of colonoscopy in the prevention and early detection of colorectal cancer, which is one of the leading causes of cancer-related mortality worldwide. AI-powered colonoscopy tools significantly enhance adenoma and polyp detection rates, reducing the chances of missed lesions during procedures. By providing real-time assistance to endoscopists, AI ensures higher accuracy, improved diagnostic yield, and standardized procedure quality. Given that colorectal cancer screening programs are widely implemented across North America, Europe, and parts of Asia-Pacific, the adoption of AI in colonoscopy has accelerated more than in any other endoscopic application.

Furthermore, the colonoscopy segment benefits from regulatory approvals and commercialization of AI solutions by key market players. Several AI-assisted polyp detection systems have already received approvals from the U.S. FDA and European CE Mark, enabling their use in routine clinical practice. Hospitals and diagnostic centers are prioritizing the integration of AI in colonoscopy as it directly impacts patient safety, healthcare costs, and long-term outcomes. Compared to other applications such as gastroscopy, bronchoscopy, or capsule endoscopy, colonoscopy offers the clearest clinical and economic benefits, ensuring its continued dominance in the AI-enabled endoscopy market over the coming years.

The AI-enabled endoscopy market research report presents the analysis of each segment from 2020 to 2030 considering 2024 as the base year for the research. The compounded annual growth rate (CAGR) for each respective segment is calculated for the forecast period from 2025 to 2030.

Historical & Forecast Period

• 2020-23 – Historical Year
• 2024 – Base Year
• 2025-2030 – Forecast Period

Market Segmentation:

By Type:

• Computer-aided Detection
• Image Segmentation
• Polyp Detection
• AI video Analysis
• AI-assisted Biopsy

By Technology:

• Traditional ML
• Deep Learning
• NLP
• Others

By Application:

• Colonoscopy
• Gastroscopy
• Bronchoscopy
• Capsule Endoscopy
• Laparoscopy

By End-User:

• Hospitals
• Ambulatory Surgical Centers
• Specialty Clinics

By Region:

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Regional Analysis: North America Leads the Global AI-enabled Endoscopy Market

As of 2024, the North America region dominates the global AI-enabled endoscopy market, holding the largest market share due to its strong healthcare infrastructure, advanced adoption of medical technologies, and significant investment in artificial intelligence research. The United States is at the forefront, with a high prevalence of gastrointestinal (GI) diseases such as colorectal cancer driving the demand for advanced diagnostic solutions. In addition, the region benefits from supportive regulatory frameworks like the FDA’s approvals for AI-based diagnostic tools, which accelerate commercialization and clinical adoption. Major players such as Medtronic, Olympus, and Fujifilm also have a strong presence in North America, ensuring widespread availability and integration of AI-enabled endoscopy systems across hospitals and diagnostic centers.

Europe follows as the second-largest region, while Asia-Pacific is recognized as the fastest-growing. However, North America’s dominance continues because of early technology adoption, strong reimbursement policies, and extensive clinical trials validating AI-based solutions. For example, the availability of FDA-cleared AI-assisted colonoscopy tools enhances physician accuracy in polyp detection, boosting demand among healthcare providers. With increasing investments in AI-driven healthcare startups and partnerships between tech firms and hospitals, North America remains the dominant region in shaping innovation and market growth in AI-enabled endoscopy.

AI-enabled Endoscopy Market: Competitive Landscape

Some of the leading market players operating in the global AI-enabled endoscopy market are Medtronic plc, Olympus Corporation, Fujifilm Holdings Corporation, Pentax Medical (HOYA Corporation), and Karl Storz SE & Co. KG. Companies are exploring markets by expansion, new investment, the introduction of new services, and collaboration as their preferred strategies. Players are exploring new geography through expansion and acquisition to gain a competitive advantage through joint synergy.

Key Companies:

• Medtronic plc
• Olympus Corporation
• Fujifilm Holdings Corporation
• Pentax Medical (HOYA Corporation)
• Karl Storz SE & Co. KG
• Boston Scientific Corporation
• Ambu A/S
• Check-Cap Ltd.
• EndoSoft LLC
• NEC Corporation
• NinePoint Medical, Inc.

Key Questions Answered by AI-enabled Endoscopy Market Report

• Global AI-enabled endoscopy market forecasts from 2025-2030
• Regional market forecasts from 2025-2030 covering Asia-Pacific, North America, Europe, Middle East & Africa, and Latin America
• Country-level forecasts from 2025-2030 covering 15 major countries from the regions as mentioned above
• AI-enabled endoscopy submarket forecasts from 2025-2030 covering the market by type, technology, application, end-user, and geography
• Various industry models such as SWOT analysis, Value Chain Analysis about the market
• Analysis of the key factors driving and restraining the growth of the global, regional, and country-level AI-enabled endoscopy markets from 2025-2030
• Competitive Landscape and market positioning of top 10 players operating in the market