AI in cancer diagnostics market seen reaching $1.97 billion by 2030

The Business Research Company says the global AI in cancer diagnostics market is on a steep growth path, rising from $0.79 billion in 2025 to $1.97 billion by 2030. The report points to faster algorithm development, more AI-powered imaging, and rising cancer cases as the main drivers.

Why it matters: - AI tools are moving deeper into cancer detection, where faster and more accurate diagnosis can affect treatment decisions and patient outcomes. - The market forecast points to growing adoption across hospitals, diagnostic centers, and healthcare systems as cancer cases rise worldwide.

What happened: - The Business Research Company released its Global AI in Cancer Diagnostics Market Global Market Report 2026 – Market Size, Trends, And Forecast 2026-2035. - The report estimates the market will grow from $0.79 billion in 2025 to $0.96 billion in 2026. - The report projects the market will reach $1.97 billion by 2030. - The report puts the market’s forecast growth rate at 19.9% CAGR through the forecast period. - The report was published from London on Oct. 30, 2026. - A free sample report is available. - The full report is available online.

The details: - AI in cancer diagnostics uses machine learning and deep learning to analyze medical images, genetic information, and patient records. - The systems are designed to identify subtle patterns and abnormalities that can be missed by human review. - The report links recent market growth to limited early AI adoption, continued reliance on conventional imaging, rising cancer burden, demand for early detection tools, and expansion of diagnostic facilities. - The report says future growth will be supported by advances in deep learning and machine learning, broader use of AI-powered imaging platforms, stronger predictive analytics, more digital health investment, and more collaboration between AI developers and medical organizations. - The report says the market is also being helped by improved integration with healthcare IT and better algorithms. - The report says stronger diagnostic infrastructure worldwide is adding momentum to adoption.

Between the lines: - The market story is shifting from experimental AI use to practical clinical deployment, especially where screening, classification, and follow-up can be automated or sped up. - Rising cancer incidence is doing a lot of the demand-side work for the category, while technology improvements are lowering the adoption barrier. - The report’s focus on predictive analytics suggests vendors are moving beyond image recognition toward longer-term patient monitoring and risk assessment.

What's next: - North America held the largest market share in 2025. - Asia-Pacific and Southeast Asia are expected to grow faster as healthcare spending rises and cancer prevalence increases. - The report highlights more AI use in tumor detection, tumor classification, and ongoing patient monitoring. - The report expects continued collaboration between AI companies and healthcare providers to shape product development and deployment. - The National Cancer Institute projected about 2 million new cancer cases in the U.S. in 2024 and more than 611,000 deaths. - The National Cancer Institute also projected global new cancer cases could reach 29.9 million by 2040, with cancer-related deaths rising to 15.3 million.

The bottom line: - AI in cancer diagnostics is moving from niche technology to a faster-growing segment of digital health, with cancer prevalence and algorithm advances pulling the market in the same direction.