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The global artificial intelligence (AI) in cancer diagnostics market was valued at USD 1.74 Billion in 2025. It is poised to grow at a CAGR of 22.40% during the forecast period of 2026-2035, and reach USD 13.13 Billion by 2035. The market growth is driven by rising cancer prevalence, demand for early detection, and adoption of AI software in hospitals.
Base Year
Historical Period
Forecast Period
In November 2025, Abbott acquired Exact Sciences for USD 23 billion, expanding AI-enabled cancer diagnostics and enhancing global early detection capabilities.
One of the major market trends includes the integration of AI algorithms into digital pathology platforms. For instance, in September 2024, Roche expanded its digital pathology open environment by incorporating over 20 AI algorithms from eight collaborators to enhance cancer diagnosis and precision treatment.
In May 2024, Lunit acquired Volpara Health Technologies, combining AI-powered cancer diagnostics with advanced breast screening software. Such strategic expansions are expected to accelerate global adoption, driving significant growth in the AI cancer diagnostics market.
Compound Annual Growth Rate
22.4%
Value in USD Billion
2026-2035
*this image is indicative*
Artificial intelligence in cancer diagnostics refers to the application of advanced algorithms to improve cancer detection AI, leveraging imaging biomarkers, histopathology AI, and early detection algorithms for accurate diagnosis. The market is growing due to the increasing adoption of liquid biopsy AI and data-driven tools. The market reached a value of approximately USD 1.74 Billion in 2025, supported by advancements in clinical decision support and diagnostic efficiency. These technologies enhance diagnostic efficiency, enable better patient stratification, and support informed treatment planning, positioning AI as a critical component in improving global cancer care outcomes.
Rising Prevalence of Cancer to Fuel the AI Adoption in the Market
The growing number of people living with cancer is a key factor driving the growth in the market. According to the American Association for Cancer Research (AACR), nearly 20 million people were new cancer cases occurred, while more than 10.3 million people died due to cancer. Increasing cancer prevalence, coupled with the need for early detection, accurate staging, and personalized treatment, is encouraging healthcare providers to deploy AI-powered imaging, predictive analytics, and clinical decision support tools, as well as screening automation, mammography AI, colonoscopy AI, and ctDNA analysis, accelerating market growth and improving diagnostic efficiency during the forecast period.
Key trends shaping the market include integration of artificial intelligence in early lung cancer.
Growing Integration of AI in Early Lung Cancer Detection to Enhance the Market Landscape
The market is witnessing a rising demand for early cancer diagnosis and growing adoption of AI-driven radiology tools, which are driving innovation in cancer care. For instance, in January 2026, Bristol Myers Squibb partnered with Microsoft to deploy AI-enabled radiology tools for early lung cancer detection, integrating FDA-cleared algorithms into clinical workflows. This initiative is expected to improve diagnostic accuracy, accelerate treatment initiation, and expand adoption of AI in cancer diagnostics throughout the forecast period.
Market Breakup by Offerings
Market Breakup by Cancer Type
Market Breakup by End-User
Market Breakup by Region
Breast Cancer to Dominate the Market Segment by Cancer Type
The market, based on the cancer type, includes breast cancer, lung cancer, brain cancer, colorectal cancer, prostate cancer, and others. Among these, breast cancer recorded a significant revenue share of more than 19% in the historical period. According to SEER cancer incidence, globally, about 316,950 new female breast cancer cases were estimated in 2025, underscoring the widespread disease burden and diagnostic demand. This large patient population is driving the adoption of AI diagnostics and clinical decision support tools to improve early detection accuracy and personalized care.
The regions included in the market are North America, Europe, Asia Pacific, Latin America, and Middle East and Africa. Among these, North America dominated the market in the historical period, accounting for the largest revenue share of over 54%. The region’s leadership is driven by advanced healthcare infrastructure, high adoption of AI diagnostics, and strong presence of major technology and healthcare companies. Integration of clinical decision support, radiology AI, predictive analytics, and multi-omics integration further strengthens market growth and accelerates precision oncology adoption.
The key features of the market report comprise patent analysis, funding and investment analysis, and strategic initiatives by the leading players. The major companies in the market are as follows:
Aidoc, headquartered in Tel Aviv, Israel, and founded in 2016, develops AI-powered imaging solutions for radiology. Aidoc’s platform leverages radiology AI and deep learning to detect abnormalities, prioritize critical cases, and enhance workflow efficiency. Its solutions support hospitals globally in improving diagnostic accuracy, accelerating clinical decision-making, and integrating clinical decision support tools for the timely detection and management of cancer and other critical conditions.
iCAD, Inc., headquartered in Nashua, New Hampshire, and founded in 1984, specializes in AI-driven cancer detection and therapy guidance. The company’s portfolio includes AI diagnostics for breast, prostate, and colon cancer, combining imaging software, digital pathology, and advanced analytics to support early detection, accurate diagnosis, and improved patient outcomes. iCAD solutions are widely adopted in hospitals and cancer centers globally.
Microsoft Corporation supports CancerCenter.AI, a platform founded by Piotr Krajewski to accelerate and improve cancer diagnostics. Built on Microsoft Azure, the platform digitizes pathology scans and leverages AI models to assist physicians in analyzing complex data and collaborating remotely. Pilot studies report increased pathologist productivity, faster diagnoses, and reduced diagnostic errors, highlighting the company’s active role in advancing AI-driven cancer diagnostics.
Cancer Center.ai, headquartered in Boston, Massachusetts, and founded in 2018, develops AI-powered solutions for cancer diagnostics. Its platform leverages radiology AI and pathology automation to improve diagnostic accuracy, accelerate detection of malignancies, and assist oncologists in clinical decision support. Cancer Center.ai tools are designed to integrate with hospital imaging systems and lab workflows, enhancing efficiency and patient-specific treatment planning across cancer care facilities.
*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*
Other key players in the market are Mursla Bio, SkinVision, Kheiron Medical Technologies Limited, Tempus AI, Inc., Paige AI Inc., and Therapixel.
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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| REPORT FEATURES | DETAILS |
| Base Year | 2025 |
| Historical Period | 2019-2025 |
| Forecast Period | 2026-2035 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Offerings |
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| Breakup by Cancer Type |
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| Breakup by End User |
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| Breakup by Region |
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| Market Dynamics |
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| Supplier Landscape |
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| Companies Covered |
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