Discover trends, market shifts, and competitive outlooks for the ai in cancer diagnostics industry through 2025-2034 with The Business Research Company’s reliable data and in-depth research

How Has The AI In Cancer Diagnostics Market Growth Evolved From 2024 To 2025, And What’s Ahead?

The market for AI in cancer diagnostics has seen a tremendous expansion in the past few years. The market, which was valued at $0.66 billion in 2024, is projected to increase to $0.79 billion in 2025, exhibiting a compound annual growth rate (CAGR) of 21.0%. The historic period’s growth is credited to the rise in cancer incidence rates, an explosion of data in healthcare, a favorable regulatory climate, an emphasis on precision medicine, and the extension of AI applications beyond just imaging.

In the coming years, the market size for AI in cancer diagnostics is predicted to experience substantial growth. With a compound annual growth rate (CAGR) of 19.9%, it’s estimated to reach $1.64 billion by 2029. This predicted growth in the forecast term is due to several factors such as the introduction of explainable AI, a global surge in healthcare IT expenditure, integration with electronic health records (EHR), the adoption of personalized medicine, and ongoing advancements in AI algorithms. The period is also expected to see major trends such as improvements in imaging technologies, technological convergence, alliances between healthcare and tech firms, the emergence of digital pathology, and automation in histopathology.

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Which Primay Drivers Are Accelerating Growth in the AI In Cancer Diagnostics Market?

The escalating incidences of cancer are projected to stimulate the expansion of artificial intelligence within the realm of cancer diagnostics. Cancer encompasses numerous diseases characterized by abnormal cell growth with a propensity to infiltrate or metastasize to other bodily areas. The incorporation of AI into cancer care is designed to improve efficiency, precision, and individualized treatment approaches, thus potentially enhancing the prognosis for cancer patients. For example, the National Cancer Institute, a US Government agency, predicted in May 2024 that nearly 2 million fresh instances of cancer are forecasted to surface in the U.S. in 2024, with predicted deaths exceeding 611,000. By 2040, the cases of new cancer are anticipated to surge to 29.9 million worldwide, with a corresponding increase in cancer-related fatalities to 15.3 million. Therefore, the escalating incidences of cancer are fueling the expansion of artificial intelligence in the scope of cancer diagnostics.

Which Primary Segments of the AI In Cancer Diagnostics Market Are Driving Growth and Industry Transformations?

The AI in cancer diagnostics market covered in this report is segmented –

1) By Component: Software Solutions, Hardware, Services

2) By Cancer Type: Breast Cancer, Lung Cancer, Brain Tumor, Skin Cancer And Cervical Cancer, Prostate And Colorectal Cancer, Other Cancer Types

3) By Application: Screening And Diagnosis, Tumor Identification, Monitoring

4) By End User: Hospitals, Diagnostic Centers, Medical Research Institutes, Contract Research Organizations

Subsegments:

1) By Software Solutions: Machine Learning Software, Deep Learning Software, Image Analysis Software

2) By Hardware: AI-Powered Imaging Systems, Diagnostic Devices

3) By Services: AI Integration Services, Consulting And Training Services, Support And Maintenance Services

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Which Regions Are Key Players in the Growth of the AI In Cancer Diagnostics Market?

North America was the largest region in the artificial intelligence in cancer diagnostics market in 2024. The regions covered in the ai in cancer diagnostics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Which Technological Trends Are Reshaping the AI In Cancer Diagnostics Industry Dynamics?

Prominent firms in the AI in cancer diagnostics sector are witnessing robust expansion due to the evolution of AI-fueled digital pathology methods for cancer detection. In essence, AI-fueled digital pathology alternatives for cancer detection involve the utilization of machine learning algorithms for identifying cancer and other diagnostic attributes across a variety of tissue types, thereby facilitating prompt and precise cancer detection, aiding in case prioritization, and assuring consistent diagnoses. For example, Dedalus & Ibex Medical Analytics, a health software firm based in Europe, introduced a comprehensive AI-integrated digital pathology solution for cancer detection all over Europe in November 2023. The aim of this solution is to bolster accuracy, offer AI-aided decision making tools, simplify the reporting process, boost lab effectiveness, and augment diagnostic assurance.

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What Parameters Are Used to Define the AI In Cancer Diagnostics Market?

AI in cancer diagnostics refers to the use of artificial intelligence technologies, such as machine learning and deep learning, to analyze medical images, genetic data, or patient histories to assist in the early detection, diagnosis, and prognosis of cancer. These systems can recognize patterns and anomalies in data that might be imperceptible to humans, increasing diagnostic accuracy and efficiency.

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