The AI In Endoscopy Market is being driven by Increasing prevalence of target diseases and heightened focus on early detection
The AI In Endoscopy Market is expected to grow at a CAGR of 25.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 2563.1 million. The global AI in endoscopy market is witnessing a significant expansion of technology capabilities beyond colorectal polyp detection. While computer-aided detection (CADe) for adenomas during colonoscopy remains the market's most mature and commercially successful application, the industry is aggressively pursuing more advanced and diverse functionalities. This evolution is occurring along two primary axes: the shift from simple detection to real-time characterization, and the application of AI to new anatomical regions. The first axis, computer-aided diagnosis (CADx), signifies a substantial leap in clinical utility. Instead of merely flagging potential polyps, next-generation AI systems are being engineered to analyze lesion surface patterns and vascularity in real-time to predict histology.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
234 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 25.7% |
Market growth 2025-2029 |
USD 2563.1 million |
Market structure |
concentration |
YoY growth 2024-2025(%) |
24.5 |
Key countries |
US, China, UK, Germany, Canada, Japan, France, India, South Korea, and Australia |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI in Endoscopy Market is witnessing significant advancements with the integration of deep learning models, such as convolutional neural networks, for improved diagnostic accuracy. Image registration techniques, object detection algorithms, and classification metrics are enhancing diagnostic performance. Procedural workflow integration, clinical trial validation, and AI algorithm optimization are prioritized for seamless implementation. Endoscopy image databases, AI-driven quality control, medical image annotation, and synthetic image generation are essential for enhancing AI performance. Augmented reality endoscopy, virtual reality endoscopy, haptic feedback endoscopy, tele-endoscopy platforms, remote endoscopy guidance, patient-specific modeling, precision medicine endoscopy, surgical planning endoscopy, image fusion algorithms, endoscopic image registration, and tissue characterization algorithms are transforming endoscopy procedures.
The global application software market encompasses businesses specializing in the development and production of software solutions for specific industries and consumers. This sector includes enterprise and technical software, as well as cloud-based applications. In the healthcare industry, AI technologies such as image processing algorithms, deep learning endoscopy, and computer vision endoscopy are revolutionizing the field of endoscopy. These advanced technologies enable real-time image analysis, improving diagnostic accuracy and patient outcomes. Technavio's market analysis calculates the size of the global application software market based on the combined revenue generated by companies providing all types of software, including those offering cloud-based solutions in this specialized domain.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
Jesse Maida
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