Artificial Intelligence in Endoscopy Market To Hit USD 838.9 Million by 2033

Trishita Deb
Trishita Deb

Updated · Apr 2, 2024


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The artificial intelligence in Endoscopy market is set to experience remarkable growth, with projections estimating its expansion from USD 58.1 million in 2023 to approximately USD 838.9 million by 2033, reflecting a Compound Annual Growth Rate (CAGR) of 30.6% during the forecast period from 2024 to 2033. This growth is largely attributed to the increasing integration of artificial intelligence (AI) in endoscopic procedures, which is driven by advancements in AI technology.

There are several factors contributing to the growth of the AI in Endoscopy Market. Firstly, the rising prevalence of gastrointestinal diseases increases the demand for more efficient and accurate diagnostic tools, with AI-powered endoscopy systems playing a pivotal role. Enhancements in machine learning algorithms facilitate improved image analysis and lesion detection, bolstering diagnostic accuracy and patient outcomes. Moreover, the growing inclination towards minimally invasive procedures, coupled with the potential to reduce healthcare costs, stimulates the adoption of AI in endoscopy.

Olympus has announced its acquisition of Odin Vision, a cloud-based AI endoscopy technology developer, for up to $79 million in upfront and milestone-based payments. Odin Vision, based in London, specializes in computer-aided detection/diagnostic solutions and has an innovation pipeline of cloud-enabled applications. This acquisition is part of Olympus’ broader strategy to enhance clinical workflows and procedural decisions through digital solutions.

Key Takeaways

  • The global AI in endoscopy market is projected to witness significant growth, with a CAGR of 30.6% from 2024 to 2033.
  • Revenue in the AI in endoscopy market is anticipated to increase from USD 58.1 million in 2023 to approximately USD 838.9 million by 2033.
  • Gastrointestinal Endoscopy accounted for the largest revenue share among the types of endoscopy, capturing 32.4% of the market.
  • Hospitals constituted the dominant end-user segment, commanding 58.2% of the market share.
  • CADx (Computer-Aided Diagnosis) retained its dominance within CAD analysis, holding a market share of 43.0%.
  • North America maintained its stronghold on the market, representing 48.7% of the revenue share.
  • The Services segment emerged as the leading component, contributing 39.7% to the market share.
  • Stomach cancer ranks as the fifth most prevalent cancer globally, according to the World Cancer Research Firm.
  • Over 40% of the population suffers from functional gastrointestinal disorders (FGIDs), as reported by research published in the Gastroenterology Journal.
  • Gastrointestinal cancers are responsible for one out of every three cancer fatalities, according to the International Agency for Research on Cancer.
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AI in Endoscopy Statistics

  • Artificial intelligence (AI) has been increasingly applied in gastrointestinal (GI) endoscopy, showing promising advancements in various areas such as esophageal neoplasia detection, gastric cancer detection, Helicobacter pylori infection detection, colon polyp detection, capsule endoscopy, and quality control of endoscopies.
  • Esophageal cancer detection using AI has demonstrated impressive accuracy rates, with systems achieving sensitivity of up to 98% and specificity of up to 95% in detecting early lesions and determining cancer invasion depth.
  • AI models have shown high sensitivity (up to 92.2%) in detecting early gastric cancer (EGC) and distinguishing EGC from non-cancerous lesions, aiding in prompt treatment and improving patient prognosis.
  • Detection of Helicobacter pylori infection, a risk factor for gastric cancer, has been enhanced by AI systems, with sensitivities and specificities ranging between 85% and 90%, surpassing those of endoscopists.
  • In colonoscopy, AI-driven polyp detection systems have shown promising results in improving the adenoma detection rate (ADR), with studies reporting significant increases in ADR compared to standard colonoscopy alone.
  • AI systems in colonoscopy can accurately predict the histopathology of colorectal lesions, distinguishing between neoplastic and non-neoplastic polyps with accuracies ranging from 78.8% to 94%.
  • Capsule endoscopy (CE) aided by AI has demonstrated exceptional accuracy in detecting abnormalities such as bleeding, erosions, ulcerations, and masses, with sensitivities and specificities exceeding 90%.
  • AI plays a crucial role in controlling the quality of endoscopies by reducing blind spots, improving inspection-related indicators, and enhancing the detection rate of lesions, ultimately improving the accuracy of diagnoses.
  • Despite the promising advancements, AI in GI endoscopy still faces challenges such as retrospective study designs, single-center evaluations, and reliance on still images for testing. Prospective, large-scale, multi-center clinical trials are needed to validate the diagnostic accuracy of AI systems.
  • The future of AI in GI endoscopy holds potential for sophisticated endoscopic therapies, improved patient outcomes, and enhanced quality control measures, paving the way for transformative advancements in the field.

Use Cases

  • Enhanced Detection and Diagnosis: AI’s integration into colonoscopy procedures exemplifies its capability to boost the detection rates of preneoplastic lesions, such as polyps, and assist in the management of upper digestive tract diseases including gastroesophageal reflux disease, Barrett’s esophagus, and gastric cancer. This is achieved through advanced image analysis and pattern recognition capabilities of AI algorithms, significantly augmenting the diagnostic precision of endoscopists.
  • Quality Control in Gastrointestinal Endoscopy: AI systems have been developed to identify the cecum automatically, monitor the speed of endoscopic withdrawal, and accurately measure the size of polyps, aiding endoscopists in decision-making processes regarding polyp management. These systems can also identify endoscopic equipment with high accuracy, sensitivity, and specificity, improving procedural efficiency and safety.
  • Reducing Blind Spot Rates: AI-powered systems like WISENSE have shown remarkable efficiency in reducing blind spot rates during Esophagogastroduodenoscopy (EGD) by detecting hidden spots in the gastric mucosa with high accuracy. This is crucial for early cancer detection, as the survival rate of gastric cancer is highly dependent on the stage at diagnosis. By significantly lowering the blind spot rates, AI assists in enhancing the thoroughness of examinations, especially in regions with limited training and low disease incidence.
  • Guided Biopsy and Optical Biopsies: AI technologies facilitate a transition from random biopsy approaches to targeted biopsies, thus improving the detection rates of endoscopic lesions. This includes the development of Computer-Aided Detection (CADe) systems for early tumor detection and Computer-Aided Diagnosis (CADx) systems for predicting lesion histology without the need for physical biopsies. Such systems demonstrate high accuracy, sensitivity, and specificity, making them invaluable tools for precise lesion characterization and management.
  • Assessing Depth and Boundary of Invasion: In the context of gastric and esophageal cancers, AI applications have shown promise in accurately predicting the depth of cancer invasion. This is achieved through algorithms capable of analyzing endoscopic images to distinguish various stages of cancer invasion with high sensitivity and accuracy. By enabling precise assessments, AI aids in appropriate treatment planning and could potentially improve patient survival rates.

Key Players Analysis


Medtronic has made significant strides in the AI in endoscopy sector with their GI Genius™ intelligent endoscopy module. This system is a trailblazer as the first computer-aided polyp detection system powered by AI, designed to enhance visualization during colonoscopy and improve the detection rates of colorectal polyps. Studies have demonstrated that it can increase adenoma detection rates (ADR) by up to 14.4%, with each percentage increase in ADR decreasing the risk of interval cancer by 3%. Its introduction marks a significant advancement in the field, offering potentially life-saving improvements in the early detection of colorectal cancer.

Wision AI

Wision AI, in partnership with Micro-Tech Endoscopy, has introduced the EndoScreener, an AI-assisted polyp detection software used during colonoscopy procedures. This FDA-cleared technology has shown to identify about 32% more adenomas than standard procedures, marking a significant advancement in early colorectal cancer detection and patient outcomes.

Olympus Corporation

Olympus Corporation has made a significant move in the AI in endoscopy sector by acquiring London-based Odin Vision, a pioneer in cloud-AI endoscopy. This acquisition, valued at up to GBP 66 million, enhances Olympus’s portfolio with Odin Vision’s commercially available computer-aided detection/diagnostic (CAD) solutions and a promising pipeline of cloud-enabled applications. Olympus’s strategy aims to integrate AI into endoscopy suites to support clinical procedures like colonoscopy and esophagogastroduodenoscopy, driving advancements in patient care through improved diagnostic accuracy and procedural efficiency.


Fujifilm is enhancing the AI in endoscopy sector with its “CAD EYE” technology, focusing on early disease detection and diagnosis in gastrointestinal health. At the Asia Pacific Digestive Week 2023, Fujifilm highlighted its commitment to providing comprehensive healthcare solutions, demonstrating its pioneering AI solution for endoscopy. This effort is part of Fujifilm’s broader initiative to utilize advanced medical solutions for improving patient outcomes and diagnostic accuracy, particularly in detecting gastrointestinal cancers.

Pentax Medical

Pentax Medical has received CE mark approval for its Discovery AI-assisted polyp detector, designed to aid endoscopists in detecting potential polyps during colorectal examinations. This innovation is part of Pentax Medical’s broader initiative to integrate artificial intelligence into the operating room, aiming to enhance clinical outcomes and patient care by leveraging advanced technology for early and accurate detection of potential polyps.

NEC Corporation

NEC Corporation has taken a significant step forward in the AI in endoscopy sector with the development and release of “WISE VISION Endoscopy,” a cutting-edge AI diagnosis-support medical device software for colonoscopies. This innovation was first introduced in Japan and is anticipated to expand into the European market shortly. The software seamlessly integrates with existing endoscopy systems, leveraging artificial intelligence to identify potential lesions from images captured during colonoscopy procedures automatically. This capability aims to enhance the early detection of colorectal cancer, which is notably prevalent in Japan and ranks as the second most common cancer in Europe. By employing AI to learn from a comprehensive dataset of over 10,000 lesion images and expert physician insights, the software marks a significant advancement in medical diagnostics. It supports the detection of early-stage colorectal cancer and precancerous lesions with a user-friendly interface and simple operation, thereby contributing to improved medical care and supporting the quality of life.


The Endoscopy Market is experiencing a rapid growth with the help of technological advancements, increasing demands from the healthcare sector, and strategic collaborations. Although the market faces challenges such as high implementation costs and regulatory hurdles, it provides numerous opportunities, especially in improving diagnostic accuracy and expanding minimally invasive procedures. As the market progresses, it is crucial for stakeholders to closely monitor trends and leverage AI’s potential to revolutionize endoscopic diagnostics and treatment.

Trishita Deb

Trishita Deb

Trishita has more than 7 years of experience in market research and consulting industry. She has worked in various domains including healthcare, consumer goods, and materials. Her expertise lies majorly in healthcare and has worked on more than 400 healthcare reports throughout her career.