The AI In Pathology Market is being driven by Escalating cancer burden and systemic shortage of pathologists
The AI In Pathology Market is expected to grow at a CAGR of 17.6% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 381.1 million. The global AI in pathology market is witnessing a significant transition from standalone, single-task algorithms to comprehensive, integrated platforms. Early solutions focused on specific tasks, such as mitotic figure identification or prostate cancer detection on a single slide. Although these point solutions offered value, they resulted in a disjointed and inefficient user experience, necessitating pathologists to switch between multiple applications and manually transfer data. The industry's trajectory is towards unified, end-to-end platforms that manage the entire digital pathology workflow. These platforms serve as a central operating system for modern pathology laboratories, offering a single environment for slide ingestion from various scanners, image management and storage, LIS integration, and access to a range of validated AI tools.
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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 |
250 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 17.6% |
Market growth 2025-2029 |
USD 381.1 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
15.9 |
Key countries |
China, India, Japan, South Korea, Germany, UK, France, US, Canada, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI market in pathology is witnessing significant growth with the integration of pathology data into diagnostic imaging tools. AI-assisted diagnostics using image processing techniques are revolutionizing clinical trial applications, but regulatory compliance issues and telepathology infrastructure pose challenges. Model validation techniques, explainable AI methods, and interoperability standards are crucial for system integration. Cost-effectiveness analysis, clinical utility assessment, and performance evaluation metrics are essential for quality control. System integration challenges include data annotation quality, annotation consistency, user acceptance testing, and healthcare informatics. Medical image analysis and pathology informatics are key areas of focus, with digital slide management playing a vital role. AI ethics considerations and workflow optimization strategies are also important factors in the development and implementation of AI in pathology.
In the realm of IT software, the global market encompasses businesses specializing in application and system software production. The application software sector specifically caters to the development of software tailored for industry-specific applications, encompassing enterprise and technical software, as well as cloud-based solutions. Exclusively, this segment does not include companies producing interactive home entertainment software or database management software classified under systems software. Technavio's market analysis for IT software incorporates the consolidated revenue of entities offering various types of software, including cloud-based solutions. Key technologies driving growth in this sector include image analysis algorithms, digital pathology systems, and tissue microarray scanning.. 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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