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Report Overview

The global artificial intelligence in oncology market was valued at USD 3.23 Billion in 2025, driven by the rising demand for early and accurate cancer detection and increasing integration of AI in drug discovery and personalized cancer treatment planning across the globe. The market is anticipated to grow at a CAGR of 28.60% during the forecast period of 2026-2035, with the values likely to reach USD 39.96 Billion by 2035. The market is fueled by the growing adoption of AI in diagnostics and treatment workflows. Expansion of precision oncology and increasing investment in healthcare AI technologies are expected to boost market growth.

Key Market Trends and Insights

  • Software is expected to lead due to scalable integration across oncology workflows.
  • Machine learning dominates, offering precision-driven insights across oncology diagnosis and treatment.
  • Based on technology, drug discovery and development are likely to lead the market.
  • Breast cancer is leading, benefiting from high incidence and focused AI diagnostic research.
  • Hospitals to dominate among end users, equipped with infrastructure and demand for integrated oncology AI solutions.

Market Size and Forecast

  • Market Size (2025): USD 3.23 Billion
  • Projected Market Size (2035): USD 39.96 Billion
  • CAGR (2026-2035): 28.60% 
  • Largest Market in 2025: North America
  • Fastest Growing Market: Asia Pacific
2025

Base Year

2019-2025

Historical Period

2026-2035

Forecast Period

  • According to the American Cancer Society, lung cancer is expected to cause 226,650 new cases and 124,730 deaths in the U.S. by 2025. This growing cancer burden is significantly accelerating the adoption of AI in oncology.

  • In June 2024, Better Medicine launched BMVision Kidney, the first CE-certified AI solution for kidney cancer detection. Such advancements are propelling early diagnosis capabilities and significantly driving growth in the global AI in oncology market.

  • One of the major market trends includes the development of multifunctional AI tools for oncology. For instance, in September 2024, Harvard Medical School introduced CHIEF, an AI model that accurately diagnoses cancer, predicts survival, and guides treatment decisions.

Compound Annual Growth Rate

28.6%

Value in USD Billion

2026-2035


*this image is indicative*

Artificial Intelligence in Oncology Market Overview

Artificial intelligence (AI) is transforming oncology by enhancing diagnostic accuracy, streamlining workflows, and supporting personalized treatment approaches. Its integration across clinical and research settings is driving significant improvements in cancer care efficiency and outcomes. The market is experiencing rapid growth and is poised to reach USD 39.96 Billion by 2035, due to the increasing cancer burden, expanding healthcare digitization, and rising demand for precision medicine. Technological advancements and growing investments in AI-driven healthcare solutions are further propelling market expansion.

Artificial Intelligence in Oncology Market Growth Drivers

Rising Cancer Incidence to Drive the Demand for AI in Oncology

The rising global cancer burden serves as a critical growth driver for the market. According to Rebecca L. Siegel et al., in February 2025, an estimated 2,041,910 new cancer cases and 618,120 cancer deaths are expected in the United States alone. This surge in incidence highlights the urgent need for faster, more accurate diagnostic and therapeutic solutions. AI technologies offer enhanced precision and efficiency, driving their increasing integration into oncology practices and fueling substantial market expansion.

Artificial Intelligence in Oncology Market Trends

The market is witnessing several emerging trends, including the development of breakthrough AI models to enhance predictive accuracy and the growing integration of AI-human collaboration in drug discovery.

Rise in Breakthrough AI Models to Improve the Predictive Accuracy in Oncology

The market is witnessing a significant technological shift with the integration of advanced predictive models. In April 2025, Onc.AI presented its FDA breakthrough-designated Serial CT Response Score (CTRS) model at the AACR Annual Meeting. Evaluated using GSK’s clinical trial data in non-small cell lung cancer (NSCLC). The AI model outperformed traditional assessment tools like RECIST 1.1 and tumor volume changes in predicting overall survival. This development underscores the growing impact of AI-driven imaging solutions in early treatment evaluation. The adoption of such innovative tools is expected to accelerate clinical decision-making and propel market growth.

AI-Human Collaboration in Drug Discovery Set to Enhance Artificial Intelligence in Oncology Market Demand

The growing collaboration between AI models and human researchers to identify novel cancer treatments is a notable trend in the market. In June 2025, scientists at the University of Cambridge employed GPT-4 to analyze scientific literature and propose unconventional, non-cancer drug combinations to combat breast cancer. This closed-loop system, where AI-driven insights informed and evolved through laboratory testing, resulted in six promising drug pairs, showcasing AI’s ability to accelerate oncological innovation. This pioneering synergy is likely to enhance market growth.

Artificial Intelligence in Oncology Market Share

Breast Cancer Expected to Lead the Market by Cancer Type

As artificial intelligence transforms the oncology landscape, its impact varies across cancer types. The market is segmented into breast cancer, lung cancer, colorectal cancer, brain cancer, leukemia, lymphoma, and others. Among these, breast cancer is poised to lead the AI in oncology market, driven by its overwhelming prevalence and the urgent need for precise, early-stage diagnostics. With breast cancer accounting for nearly 30% of all new cancer cases in U.S. women and over 316,000 projected diagnoses in 2025 alone, the integration of AI tools, particularly in imaging, risk prediction, and treatment planning, is gaining significant momentum. This convergence of technology and clinical urgency positions breast cancer at the forefront of innovation in AI-based oncology solutions.

Artificial Intelligence in Oncology Market Analysis by Region

The market is divided into regions such as North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa. Among these, North America is projected to lead, driven by cutting-edge research, strong healthcare infrastructure, and early technology adoption. In June 2025, researchers from Memorial Sloan Kettering Cancer Center, UCSF, and UC Berkeley developed DeepHeme, an AI-powered diagnostic tool that automates blood cancer analysis with expert-level accuracy. This innovation significantly reduces diagnostic time and supports precision medicine. North America's proactive digital pathology initiatives underscore its pivotal role in advancing AI-driven cancer care and research globally.

Leading Players in the Artificial Intelligence in Oncology Market

The artificial intelligence in oncology market research report by Expert Market Research provides an in-depth analysis of the competitive landscape, offering key insights into patent filings, grant analysis, funding trends, investments, and strategic initiatives by major players. It tracks recent investments, mergers, acquisitions, and partnerships that showcase the market's growth trajectory. Additionally, the report details strategic activities by leading companies, including regional expansions, adoption of new technologies, and efforts to enhance capacity, helping stakeholders better understand the market dynamics and positions of key industry players. Some of the leading players are as follows:

Aidoc

Aidoc, a global leader in clinical artificial intelligence, has strengthened its role in the market through its expanded partnership with Integral Diagnostics (IDX) in Australia and New Zealand. Leveraging its aiOS™ platform, Aidoc enhances radiologists’ workflows by detecting critical pathologies such as lung nodules, aiding early cancer diagnosis. Its AI integration supports the upcoming National Lung Cancer Screening Program, reinforcing Aidoc's commitment to advancing oncology care through AI-driven medical imaging solutions.

iCAD, Inc.

iCAD, Inc. is a leading medical technology company specializing in Artificial Intelligence solutions for cancer detection and risk assessment, with a strong focus on breast oncology. Its ProFound Breast Health Suite, comprising detection, density, and risk tools, leverages AI to identify invasive cancers earlier and more accurately. iCAD's involvement in the artificial intelligence in oncology market emphasizes improving diagnostic efficiency, patient outcomes, and survival rates through clinically proven, AI-powered technologies.

Microsoft Corporation

Microsoft Corporation is significantly advancing artificial intelligence in oncology through its Azure-powered support for CancerCenter.AI. The platform enables rapid digitization and AI analysis of pathology and radiology scans, expediting cancer diagnostics and reducing errors. By integrating imaging tools and remote collaboration capabilities, Microsoft’s technology enhances diagnostic accuracy, supports faster treatment planning, and addresses the global shortage of oncology specialists.

Cancer Center.ai

CancerCenter.ai is a digital platform specializing in artificial intelligence solutions for oncology. It offers web-based tools for pathology and radiology image analysis, leveraging AI algorithms for tasks such as Gleason scoring, metastasis detection, and Ki-67 indexing. Its PathoCam innovation enables cost-effective slide digitization, enhancing diagnostic accuracy and workflow efficiency. The company plays a pivotal role in advancing AI-driven cancer diagnosis globally.

*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 include Mursla Bio, SkinVision, Kheiron Medical Technologies Limited, Therapixel, Tempus AI, Inc., and Paige AI Inc., among others.

Artificial Intelligence in Oncology Market Segmentation

The market report offers a detailed analysis of the market based on the following segments:

Market Breakup by Offerings

  • Software
  • Hardware
  • Services

Market Breakup by Technology

  • Machine Learning
  • Natural Language Processing
  • Context-Aware Processing and Computing
  • Computer Vision
  • Imaging Analysis
  • Others

Market Breakup by Application

  • Drug Discovery and Development
  • Diagnosis and Early Detection
  • Treatment Planning and Personalization
  • Patient Engagement and Remote Monitoring
  • Post-Treatment Surveillance and Care
  • Data Management and Analytics
  • Others

Market Breakup by Cancer Type

  • Breast Cancer
  • Lung Cancer
  • Colorectal Cancer
  • Brain Cancer
  • Leukemia
  • Lymphoma
  • Others

Market Breakup by End User

  • Hospitals
  • Oncology Clinics
  • Academic and Research Institutes
  • Medical Device Companies
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Key Questions Answered in the Artificial Intelligence in Oncology Market Report

  • What was the artificial intelligence in oncology market value in 2025?
  • What is the artificial intelligence in oncology market forecast outlook for 2026-2035?
  • What are the major factors aiding the artificial intelligence in oncology market demand?
  • How has the market performed so far, and how is it anticipated to perform in the coming years?
  • What are the market's major drivers, opportunities, and restraints?
  • What are the major trends in artificial intelligence in oncology market?
  • Which offerings are expected to dominate the market segment?
  • Which technology is projected to lead the market segment?
  • Which application is anticipated to drive the market segment?
  • Which cancer type is expected to dominate the market segment?
  • Which end user is likely to dominate the market segment?
  • Who are the key players involved in the artificial intelligence in oncology market?
  • What are the current unmet needs and challenges in the market?
  • How are partnerships, collaborations, mergers, and acquisitions among the key market players shaping the market dynamics?

*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 Summary

Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.

Key Highlights of the Report

Please note that the figures mentioned in the description serve as estimates and may vary from the actual figures presented in the final report.

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:

  • Offerings
  • Technology
  • Application
  • Cancer Type
  • End User
  • Region
Breakup by Offerings
  • Software
  • Hardware
  • Services
Breakup by Technology
  • Machine Learning
  • Natural Language Processing
  • Context-Aware Processing and Computing
  • Computer Vision
  • Imaging Analysis
  • Others
Breakup by Application
  • Drug Discovery and Development
  • Diagnosis and Early Detection
  • Treatment Planning and Personalization
  • Patient Engagement and Remote Monitoring
  • Post-Treatment Surveillance and Care
  • Data Management and Analytics
  • Others
Breakup by Cancer Type
  • Breast Cancer
  • Lung Cancer
  • Colorectal Cancer
  • Brain Cancer
  • Leukemia
  • Lymphoma
  • Others
Breakup by End User
  • Hospitals
  • Oncology Clinics
  • Academic and Research Institutes
  • Medical Device Companies
  • Others
Breakup by Region
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa
Market Dynamics
  • Market Drivers and Constraints
  • SWOT Analysis
  • PESTEL Analysis
  • Porter’s Five Forces Model 
  • Key Demand Indicators
  • Key Price Indicators
  • Industry Events, Initiatives, and Trends 
  • Value Chain Analysis
Supplier Landscape
  • Market Structure
  • Company Profiles
    • Financial Analysis
    • Product Portfolio
    • Demographic Reach and Achievements
    • Company News and Developments
    • Certifications
Companies Covered
  • Aidoc
  • iCAD Inc.
  • Microsoft Corporation
  • Cancer Center.ai
  • Mursla Bio
  • SkinVision
  • Kheiron Medical Technologies Limited
  • Therapixel
  • Tempus AI, Inc.
  • Paige AI Inc.

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