The Global AI for Cancer Diagnosis Market was valued at USD 205 Million in 2025 and is projected to reach US$ 1,716 Million by 2034, growing at a remarkable Compound Annual Growth Rate (CAGR) of 36.4% during the forecast period (2024–2034). This explosive growth is fueled by the increasing global prevalence of cancer, a critical shortage of specialized pathologists, and the accelerating adoption of AI-driven diagnostic solutions that enhance accuracy, speed, and accessibility in oncology care.

As the healthcare industry embraces digital transformation, the focus shifts to the pioneering companies developing sophisticated algorithms that can detect malignancies earlier and with greater precision than ever before. In this blog, we profile the Top 10 Companies in the AI for Cancer Diagnosis Industry—a dynamic mix of established medical imaging giants and agile AI startups that are redefining the future of cancer detection and patient outcomes.

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🔟 1. Lunit Inc

Headquarters: Seoul, South Korea
Key Offering: Lunit INSIGHT for mammography, chest X-rays, and pathology

Lunit is a leading medical AI software company specializing in data-driven imaging biomarkers and AI-powered cancer diagnostics. Its flagship Lunit INSIGHT suite is FDA-cleared and CE-marked, and is used globally to assist radiologists in detecting breast cancer, lung nodules, and tuberculosis from medical images with high accuracy.

Key Innovations and Initiatives:

• AI-powered analysis of tissue biomarkers for predicting treatment response

• Strategic collaborations with global healthcare institutions and device manufacturers

• Committed to advancing personalized medicine through AI-driven precision oncology

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9️⃣ 2. Infervision

Headquarters: Beijing, China
Key Offering: AI solutions for lung, breast, and liver cancer screening

Infervision leverages deep learning to develop AI-powered solutions that assist doctors in diagnosing cancer and other critical illnesses more efficiently. Its technology is deployed in over 1,000 hospitals worldwide, primarily focusing on early detection from CT scans and mammograms, significantly reducing radiologists’ workload.

Key Innovations and Initiatives:

• Pioneering AI applications for lung nodule detection and follow-up management

• Expanding its platform to include oncology-specific clinical decision support tools

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8️⃣ 3. Ibex Medical Analytics

Headquarters: Tel Aviv, Israel
Key Offering: Galen™ platform for AI-powered cancer diagnostics in pathology

Ibex Medical Analytics is a pioneer in AI-powered cancer diagnostics for pathology. Its Galen™ platform is the first-ever AI solution in use in routine clinical practice for prostate and breast cancer detection, helping pathologists improve diagnostic accuracy, reduce turnaround times, and enhance quality control.

Key Innovations and Initiatives:

• CE-marked and FDA-cleared solutions for prostate and breast core needle biopsies

• Focus on reducing diagnostic errors and secondary review rates in pathology labs

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7️⃣ 4. Paige.ai

Headquarters: New York, New York, USA
Key Offering: FullFocus™ viewer and Paige Prostate for digital pathology

Paige.ai is a global leader in computational pathology, building AI-based diagnostic products to transform cancer diagnosis and treatment. Its technology, developed using the world’s largest dataset of cancer pathology images from Memorial Sloan Kettering Cancer Center, helps detect cancer more accurately and efficiently.

Key Innovations and Initiatives:

• First-ever FDA approval for an AI-based digital pathology product (Paige Prostate)

• Developing AI models for multiple cancer types, including breast and colorectal

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6️⃣ 5. Kheiron Medical Technologies

Headquarters: London, United Kingdom
Key Offering: Mia ® for mammography screening

Kheiron Medical develops deep learning software to help radiologists detect cancer earlier and more accurately. Its Mia (Mammography Intelligent Assessment) platform is deployed within national breast screening programs and healthcare systems, aiming to improve population-scale cancer detection rates.

Key Innovations and Initiatives:

• FDA-cleared and CE-marked AI solution for breast cancer detection

• Collaborations with national health services to integrate AI into public health screening

Download FREE Sample Report:
AI for Cancer Diagnosis Market – View in Detailed Research Report

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5️⃣ 6. Niramai Health Analytix

Headquarters: Bengaluru, India
Key Offering: Thermalytix® for non-invasive, radiation-free breast cancer screening

Niramai (Non-Invasive Risk Assessment with Machine Intelligence) has developed a novel AI-powered diagnostic solution for early-stage breast cancer detection. Using a high-resolution thermal sensor and cloud-based analytics, Thermalytix® offers a portable, affordable, and privacy-aware screening method that is particularly impactful in low-resource settings.

Key Innovations and Initiatives:

• Unique approach combining thermography and AI for early-stage cancer detection

• Focus on increasing accessibility for underserved populations

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4️⃣ 7. SkinVision

Headquarters: Amsterdam, Netherlands
Key Offering: AI-powered mobile app for skin cancer risk assessment

SkinVision offers a CE-marked medical application that allows users to assess their skin lesions for skin cancer risk. Using a smartphone camera and proprietary algorithm, it provides a risk assessment in seconds, encouraging early consultation with a dermatologist when necessary.

Key Innovations and Initiatives:

• Validated algorithm based on a dataset of over 4.5 million skin images

• Partnerships with health insurers and healthcare providers to scale preventative care

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3️⃣ 8. Oncora Medical

Headquarters: Philadelphia, Pennsylvania, USA
Key Offering: Oncora Patient Care Platform for oncology data analytics

Oncora Medical develops software and data analytics for radiation oncology. Its platform helps clinicians collect, structure, and analyze oncology data to improve patient care, optimize treatment plans, and advance clinical research, leveraging AI to derive insights from complex medical data.

Key Innovations and Initiatives:

• AI-driven decision support for personalized radiation therapy planning

• Focus on data integrity and interoperability within oncology workflows

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2️⃣ 9. Imagene AI

Headquarters: Tel Aviv, Israel
Key Offering: AI-based biomarker detection from digitized biopsy images

Imagene AI leverages AI to enable real-time, precise molecular profiling directly from standard digitized biopsy images. This technology aims to accelerate and democratize biomarker testing, which is crucial for targeted cancer therapies, by reducing the need for complex and time-consuming lab tests.

Key Innovations and Initiatives:

• Breakthrough AI for predicting biomarkers like EGFR, BRAF, and MSI from H&E slides

• Fast-tracking targeted treatment decisions for oncology patients

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1️⃣ 10. DeepMind (Google Health)

Headquarters: London, United Kingdom
Key Offering: AI research for breast cancer screening and radiotherapy planning

Google’s DeepMind Health division conducts groundbreaking research applying AI to complex healthcare challenges. Its work includes developing AI models that can detect breast cancer in mammograms more accurately than human experts and systems that dramatically reduce the time required for radiotherapy planning for head and neck cancers.

Key Innovations and Initiatives:

• Pioneering research published in top-tier journals like Nature

• Collaborations with leading NHS trusts and cancer research centers

Get Full Report Here:
AI for Cancer Diagnosis Market – View in Detailed Research Report

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📊 Outlook: The Future of AI in Cancer Diagnosis Is More Integrated and Accessible

The AI for cancer diagnosis market is undergoing a profound transformation. While current applications predominantly assist radiologists and pathologists, the next decade will see a shift towards fully integrated, predictive diagnostic systems that operate across the entire cancer care continuum, from screening and early detection to prognosis and treatment selection.

📈 Key Trends Shaping the Market:

• Multi-modal AI: Integration of imaging data with genomics, pathology, and electronic health records for a holistic patient view.

• Regulatory Momentum: Accelerated FDA and other regulatory body approvals for AI/Software as a Medical Device (SaMD).

• Democratization of Diagnostics: Deployment of portable, low-cost AI solutions to improve access in low- and middle-income countries.

• Predictive Oncology: Evolution from detection to prediction of cancer risk, recurrence, and optimal therapeutic pathways.

Get Full Report Here:
AI for Cancer Diagnosis Market – View in Detailed Research Report

The companies profiled here are not just developing algorithms—they are building the future of precision oncology, offering hope for earlier detection, more personalized treatment, and improved survival rates for millions of patients worldwide.