The AI In Cancer Diagnostics Market is being driven by Escalating cancer burden and critical need for diagnostic efficiency
The AI In Cancer Diagnostics Market is expected to grow at a CAGR of 23.6% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 826.7 million. The global artificial intelligence (AI) market for cancer diagnostics is experiencing a significant shift from unimodal analysis to multimodal data integration. Traditionally, AI systems in cancer diagnostics have primarily focused on analyzing a single type of data, such as medical imaging or digitized histopathology slides. While these unimodal systems have shown impressive results in automating detection and enhancing diagnostic accuracy, they fall short in providing a comprehensive understanding of the complex and heterogeneous nature of cancer. The industry trend now leans towards developing advanced AI platforms that can simultaneously analyze and synthesize information from multiple data sources, offering a more holistic and accurate approach to cancer diagnosis.
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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 |
243 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 23.6% |
Market growth 2025-2029 |
USD 826.7 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
21.1 |
Key countries |
US, Germany, UK, France, China, Canada, Japan, Italy, South Korea, and India |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI in Cancer Diagnostics Market encompasses various technologies such as digital pathology, whole slide imaging, tissue microarray, liquid biopsy analysis, circulating tumor cells, ctDNA detection, gene expression profiling, proteomic analysis, metabolomics profiling, radiographic image analysis including CT, MRI, PET, and ultrasound imaging. Techniques like image registration and feature extraction, along with classification and regression algorithms, survival analysis, and statistical studies like cohort, prospective, and retrospective, play a crucial role. Ethical considerations, clinical validation, diagnostic performance evaluation, AI model explainability, bias mitigation, and model robustness assessment are essential aspects of this market.
In the dynamic and innovative landscape of the global IT software industry, the application software segment holds significant importance, particularly in the niche area of AI in Cancer Diagnostics. This sector encompasses companies specializing in the development and production of software solutions utilizing advanced technologies such as tumor microenvironment analysis, image processing algorithms, machine learning models, and deep learning architectures. These solutions aim to enhance cancer diagnosis accuracy and efficiency, contributing to the overall growth of the IT software market. The market size for AI in Cancer Diagnostics is calculated based on the combined revenue generated by these specialized companies, falling under the broader application software market category. This market segment excludes entities producing database management software or interactive home entertainment software.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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