Global AI In Endoscopy Market By Type of Endoscopy (Gastrointestinal Endoscopy, Bronchoscopy, Colonoscopy, Laparoscopy, Others), By Component (Hardware, Software, Services), By Type of CAD (CADx, CADe, Others), By End-User (Hospitals, Ambulatory Surgical Centers, Others), Region and Companies – Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2024-2033

Report Overview

The Global AI In Endoscopy Market size is expected to be worth around USD 838.9 Million by 2033 from USD 58.1 Million in 2023, growing at a CAGR of 30.6% during the forecast period from 2024 to 2033.

The AI in endoscopy market is witnessing rapid growth driven by advancements in artificial intelligence (AI) technology and its integration into endoscopic procedures. AI facilitates real-time analysis of endoscopic images and videos, aiding in early detection, diagnosis, and treatment of gastrointestinal disorders, cancers, and other diseases.

Key players in the market are investing in AI-driven endoscopy solutions to improve accuracy, efficiency, and patient outcomes. These solutions include computer-aided detection systems, image enhancement algorithms, and predictive analytics tools. Startups and research institutions are also contributing to market expansion by developing innovative AI algorithms and platforms tailored for endoscopic applications.

Collaborations between technology firms, healthcare providers, and regulatory bodies further drive market growth by fostering innovation, regulatory compliance, and market adoption. As demand for minimally invasive diagnostic and therapeutic procedures continues to rise, the AI in endoscopy market is expected to expand globally, offering new opportunities for improved patient care and clinical outcomes.

• According to World Cancer Research Firm, stomach cancer is the fifth most prevalent cancer on a global scale.
• According to a research published in the Gastroenterology Journal, over 40% of the population suffers from functional gastrointestinal disorders (FGIDs).
• The International Agency for Research on Cancer, Gastrointestinal cancers are responsible for 1 of 3 cancer fatalities.

Key Takeaways

• The AI in Endoscopy market generated a revenue of USD 58.1 million in 2023, and is expected to exceed USD 838.9 million by 2033 with a projected CAGR of 30.6%.
• Gastrointestinal Endoscopy emerged as the leading segment among the types of endoscopy, capturing 32.4% revenue share, attributed to its versatile applications in diagnosing and treating gastrointestinal conditions like ulcers and cancers.
• The Services segment dominated the market among Hardware, Software, and Services, accounting for 39.7%, driven by the growing reliance on outsourced expertise for deploying and managing AI systems.
• Within CAD Analysis, CADx (Computer-Aided Diagnosis) retained dominance with a 43.0% market share, offering enhanced diagnostic accuracy through advanced algorithms.
• Hospitals remained the dominant end-user segment, commanding 58.2% market share, reflecting their pivotal role as primary healthcare providers and hubs for medical research and education.
• North America maintained its stronghold on the market with a revenue share of 48.7%,

Type Analysis

Among the listed types of endoscopy, Gastrointestinal Endoscopy was the dominant segment and secured 32.4% revenue share. This is primarily due to its wide range of applications in diagnosing and treating various gastrointestinal conditions such as ulcers, polyps, and cancers. Gastrointestinal Endoscopy allows healthcare professionals to visualize the esophagus, stomach, and intestines using a flexible tube equipped with a camera.

It is a vital tool for early detection, surveillance, and therapeutic interventions in gastrointestinal diseases. With advancements in technology and increasing awareness about preventive healthcare, the demand for gastrointestinal endoscopy procedures continues to rise, further solidifying its dominance in the endoscopy market.

Component Analysis

Among the three segments – Hardware, Software, and Services – the Services segment emerged as the dominant force in the market, by commanding 39.7%. This dominance is attributed to the increasing reliance on outsourced expertise and support in deploying and managing complex AI systems.

Services encompass a wide range of offerings, including consulting, implementation, training, and support, all crucial for organizations aiming to harness the full potential of AI technologies. With the rapid evolution of AI applications and the need for specialized skills, the Services segment has witnessed significant growth, providing invaluable assistance to businesses seeking to navigate the complexities of AI adoption and integration.

Type of CAD Analysis

Among all, CADx (Computer-Aided Diagnosis) remained the dominant segment, with a market share of 43.0%. CADx involves the use of computer algorithms to aid in medical diagnosis, offering assistance to healthcare professionals in interpreting medical images and identifying potential abnormalities or diseases.

This segment is characterized by advanced image processing techniques and machine learning algorithms that enhance diagnostic accuracy and efficiency. CADx systems are widely utilized across various medical imaging modalities, including X-rays, MRI scans, and CT scans, revolutionizing the diagnostic process and improving patient outcomes through early detection and precise diagnosis.

End-User Analysis

Among the end-user segments, hospitals remained the dominant sector in the healthcare industry, with the segment’s market share reaching 58.2%. Hospitals serve as the primary healthcare providers, offering a wide range of medical services, including emergency care, surgeries, specialized treatments, and long-term care. They cater to a diverse patient population and handle various medical conditions, from routine check-ups to critical illnesses.

Due to their comprehensive capabilities and infrastructure, hospitals often command a significant share of healthcare expenditures and resources. Additionally, hospitals play a crucial role in healthcare systems worldwide, serving as essential hubs for medical education, research, and community health initiatives.

Key Market Segments

Type of Endoscopy

• Gastrointestinal Endoscopy
• Bronchoscopy
• Colonoscopy
• Laparoscopy
• Others

Component

• Hardware
• Software
• Services

Type of CAD

• CADx
• CADe
• Others

End-User

• Hospitals
• Ambulatory Surgical Centers
• Others

Drivers

The increasing prevalence of gastrointestinal diseases encourage surge in market growth

The increasing prevalence of gastrointestinal diseases necessitates more efficient and accurate diagnostic tools, where AI-powered endoscopy systems can play a pivotal role. Secondly, advancements in machine learning algorithms enable enhanced image analysis and lesion detection, improving diagnostic accuracy and patient outcomes. Additionally, the rising demand for minimally invasive procedures and the potential to reduce healthcare costs drive the adoption of AI in endoscopy.

Furthermore, the growing acceptance of AI technologies in healthcare and collaborations between medical device companies and technology firms fuel the market’s growth trajectory.

Restraints

High costs hamper market growth

The high cost associated with implementing AI-powered endoscopy systems limits adoption, particularly in resource-constrained healthcare settings. Secondly, concerns regarding data privacy, security, and regulatory compliance hinder the widespread deployment of AI technologies in endoscopy due to stringent healthcare regulations. Additionally, the complexity of integrating AI algorithms into existing endoscopy workflows poses technical challenges for healthcare providers.

Furthermore, the need for extensive validation and clinical trials to demonstrate the effectiveness and safety of AI systems prolongs the time-to-market and increases development costs. Lastly, resistance to change and limited awareness among healthcare professionals also impede market growth.

Opportunities

Advancements in AI algorithms and machine learning techniques offer the potential to enhance diagnostic accuracy and treatment outcomes in endoscopic procedures. Additionally, the rising adoption of minimally invasive techniques and the increasing prevalence of gastrointestinal diseases create a favorable environment for the integration of AI technologies in endoscopy.

Moreover, the expanding scope of telemedicine and remote healthcare services provides opportunities for the development of AI-driven solutions for remote endoscopic consultations and diagnosis. Furthermore, collaborations healthcare providers, technology developers, and regulatory bodies can foster the development of standardized AI solutions, driving market expansion and improving patient care.

Impact of Macroeconomic / Geopolitical Factors

Macroeconomic factors such as per capita gross domestic product (PGDP), tax revenue, liquidity rate, inflation, trade (exports plus imports) affect AI in endoscopy market significantly. Per capita gross domestic product (PGDP) reflects the economic health of a nation, influencing healthcare spending, including investment in AI endoscopy technology. Higher tax revenue suggests potential for greater government funding in healthcare research and technology. A higher liquidity rate may signal more available capital for private investment in AI endoscopy innovations.

Inflation can impact the affordability of healthcare technology and the willingness of healthcare institutions to adopt AI solutions. Trade affects market accessibility and the distribution of AI endoscopy technology globally, impacting adoption rates and market growth. Overall, favorable economic indicators can spur innovation and adoption of AI in endoscopy, while economic challenges may hinder progress.

Latest Trends

There is a growing focus on real-time image processing and analysis using AI algorithms, enabling immediate insights during endoscopic procedures. Secondly, there’s an emergence of AI-powered endoscopic navigation systems, enhancing precision and guidance for clinicians during complex procedures. Additionally, there’s a trend towards the integration of AI with robotic endoscopy platforms, enabling more precise control and manoeuvrability.

Moreover, there’s increasing research into the development of AI-driven diagnostic tools for early detection of gastrointestinal diseases, paving the way for personalized and targeted treatment approaches. These trends collectively drive innovation and advancement in the field of AI in endoscopy.

Regional Analysis

North America is leading the AI in Endoscopy Market

North America secured a market share of 48.7% in 2023. The region has experienced incredible growth in the past years, and has consistently remained the highest contributor to the market. North America stands out as a prominent hub in AI in Endoscopy market due to its advanced healthcare infrastructure and significant investments in AI technology. The region benefits from a high adoption rate of innovative medical technologies and favorable regulatory frameworks, driving market growth.

In Europe, increasing healthcare expenditure and rising demand for minimally invasive procedures contribute to market expansion. The Asia-Pacific region shows promising growth potential, driven by rising healthcare awareness, growing healthcare infrastructure, and increasing government initiatives to promote advanced medical technologies. These regions collectively reflect the diverse dynamics shaping the AI in endoscopy market globally.

Key Regions and Countries

North America

• US
• Canada

Europe

• Germany
• France
• The UK
• Spain
• Italy
• Russia
• Netherland
• Rest of Europe

Asia Pacific

• China
• Japan
• South Korea
• India
• New Zealand
• Singapore
• Thailand
• Vietnam
• Rest of APAC

Latin America

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa

• South Africa
• Saudi Arabia
• UAE
• Rest of MEA

Key Players Analysis

The competitive landscape in the AI in endoscopy market is characterized by the presence of several prominent players striving to innovate and capture market share. Companies such as Olympus Corporation, Medtronic plc, and Boston Scientific Corporation are leading players leveraging AI technology to enhance endoscopic procedures. These companies invest heavily in research and development to develop advanced AI algorithms and integrate them into their endoscopic devices.

Moreover, startups and emerging players like CapsoVision, NinePoint Medical, and Pentax Medical are also making significant strides in the AI in endoscopy space. These companies focus on developing novel AI-driven solutions for early disease detection, improved diagnosis, and enhanced procedural guidance during endoscopic interventions.

Market Key Players

• Medtronic
• Wision Al
• Olympus Corporation
• Fujifilm Corporation
• Pentax Corporation
• NEC Corporation
• Odin Vision
• Magentiq Eye Ltd.
• Wuhan EndoAngel Medical Technology
• Iterative Scopes
• Other Key Players

Recent Developments

• In January 2023, AnX Robotica, a US-based manufacturing company, has obtained de novo clearance from the US Food and Drug Administration (FDA) for its AI-assisted endoscopy tool, NaviCam ProScan. The device leverages a deep learning algorithm known as convolutional neural networks (CNNs) to discern and distinguish between healthy tissue and abnormal lesions across various images.
• In February 2023, AI MedTech specialist Waycen, disclosed a strategic sales agreement with MegaMind, the largest healthcare specialized company in the Middle East situated in Saudi Arabia. The agreement encompasses the distribution of Waycen’s medical AI solutions and healthcare products across the region.

Report Scope