PUBLISHER: The Business Research Company | PRODUCT CODE: 1970107
PUBLISHER: The Business Research Company | PRODUCT CODE: 1970107
Artificial intelligence (AI) in cancer diagnostics involves the application of advanced computational techniques and algorithms to aid in the detection, diagnosis, and characterization of cancer. This technology is employed to enhance the speed, accuracy, and efficiency of cancer imaging tests, achieving comparable accuracy to radiologists in detecting mammographic abnormalities.
The main components of artificial intelligence in cancer diagnostics include software solutions, hardware, and services. Software solutions are customized applications or systems designed to address specific business needs, and AI-powered software in cancer diagnostics utilizes machine learning algorithms and computer vision techniques to analyze medical images, genetic data, and clinical records. This enables accurate cancer detection, classification, and treatment prediction. These AI applications are utilized in various types of cancer such as breast cancer, lung cancer, prostate cancer, colorectal cancer, and brain tumors. They are applied in screening and diagnosis, tumor identification, surveillance, and treatment planning and are used by hospitals, medical research institutes, diagnostic centers, and contract research organizations.
Tariffs have impacted the AI in cancer diagnostics market by increasing costs for imported imaging devices, computing hardware, and specialized diagnostic equipment. These effects are most visible in hospital and diagnostic center deployments across north america and europe. Higher equipment costs have affected procurement timelines. However, tariffs are promoting regional manufacturing, local technology partnerships, and software driven diagnostic innovation.
The artificial intelligence in cancer diagnostics market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in cancer diagnostics market statistics, including artificial intelligence in cancer diagnostics industry global market size, regional shares, competitors with a artificial intelligence in cancer diagnostics market share, detailed artificial intelligence in cancer diagnostics market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in cancer diagnostics industry. This artificial intelligence in cancer diagnostics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence in cancer diagnostics market size has grown exponentially in recent years. It will grow from $0.52 billion in 2025 to $0.69 billion in 2026 at a compound annual growth rate (CAGR) of 31.3%. The growth in the historic period can be attributed to growth of medical imaging data, early adoption of computer aided diagnosis, rising cancer prevalence, advancements in imaging technologies, increased healthcare digitization.
The artificial intelligence in cancer diagnostics market size is expected to see exponential growth in the next few years. It will grow to $2.02 billion in 2030 at a compound annual growth rate (CAGR) of 30.9%. The growth in the forecast period can be attributed to demand for early cancer detection, precision medicine adoption, AI driven diagnostic accuracy improvement, expansion of oncology research funding, integration of genomics and imaging data. Major trends in the forecast period include AI assisted medical imaging analysis, growth of early cancer detection tools, integration of predictive oncology analytics, automation of diagnostic workflows, rising adoption of decision support systems.
The increasing incidence of cancer is anticipated to drive the growth of the artificial intelligence in cancer diagnostics market in the coming years. Cancer is characterised by the uncontrolled growth of cells that affects various organs and leads to substantial morbidity and mortality across the globe. Artificial intelligence is applied in cancer diagnostics to enable accurate and efficient analysis of medical imaging data, supporting the early detection and precise classification of cancerous lesions. For instance, in January 2025, according to the American Cancer Society, a US-based non-profit organisation, the United States is expected to register 2,041,910 new cancer cases and 618,120 cancer-related deaths in 2025. Additionally, in February 2024, the World Health Organisation, a Switzerland-based intergovernmental body, reported that in 2022, nearly 20 million new cancer cases were recorded worldwide, resulting in 9.7 million deaths. Around 53.5 million people were estimated to be alive within five years of receiving a cancer diagnosis. Thus, the growing prevalence of cancer is projected to stimulate the expansion of the artificial intelligence in cancer diagnostics market.
Major companies operating in the artificial intelligence in cancer diagnostics market are concentrating on strategic collaborations to accelerate the rollout of AI-powered digital pathology technologies for cancer diagnosis. Strategic partnerships involve organisations combining their strengths and resources to achieve shared advantages and improved outcomes. For example, in October 2023, F. Hoffmann-La Roche AG, a Switzerland-based diagnostics and pharmaceutical company, announced a collaboration with Ibex Medical Analytics, an Israel-based medical technology firm, and Amazon Web Services, Inc., a US-based cloud service provider, enabling pathology laboratories to use the navify Digital Pathology software platform to access Ibex's AI-driven decision-support tools for assisting physicians in diagnosing breast and prostate cancer. The partnership between Ibex Medical Analytics and Roche is enabling the development of advanced AI-powered processes that help pathologists and laboratories fully utilise digital transformation. The cloud-based digital pathology and artificial intelligence solutions from Roche and Ibex operate on Amazon Web Services (AWS), delivering a scalable and sustainable platform for pathology laboratories.
In July 2025, RadNet Inc., a US-based diagnostic imaging and digital health company, acquired iCAD Inc. for an undisclosed amount. Through this acquisition, RadNet seeks to enhance its cancer screening capabilities by incorporating iCAD's AI-driven breast health technologies for mammography detection, risk assessment, and workflow optimisation. iCAD Inc. is a US-based company that develops artificial intelligence solutions focused on breast cancer detection, risk analysis, and screening efficiency.
Major companies operating in the artificial intelligence in cancer diagnostics market are Microsoft Corporation; Siemens; Roche Holding AG; Google LCC; International Business Machines Corporation; Thermo Fisher Scientific Inc.; Illumina Inc.; Bio Rad Laboratories Inc.; Flatiron Health; Tempus Labs Inc.; Paige AI Inc.; OncoHealth Corporation; Path AI Inc.; Aidoc; Sophia Genetics SA; Digital Diagnostics Inc.; Prognos Health; Aidence; Kheiron Medical Technologies Limited; Zebra Medical Vision; Niramai; Enlitic Inc.; Therapixel; Medial EarlySign Ltd.; Freenome; SkinVision B.V.
North America was the largest region in the artificial intelligence in cancer diagnostics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in cancer diagnostics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence in cancer diagnostics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain
The artificial intelligence (AI) in the cancer diagnostics market consists of revenues earned by entities by providing services such as data analysis, image recognition, personalized medicine, and decision support. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in the cancer diagnostics market also includes sales of AI-based diagnostic tools, predictive analytics tools, and a virtual tumor board. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Artificial Intelligence In Cancer Diagnostics Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses artificial intelligence in cancer diagnostics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for artificial intelligence in cancer diagnostics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence in cancer diagnostics market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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