Artificial Intelligence in Oncology Market Projected to Reach USD 20.5 Billion, Recording a Strong 19.4% CAGR Till 2035

WiseGuy Reports, Today, January 2026 (Press Release) – The Artificial Intelligence in Oncology Market Global Outlook:

Artificial Intelligence in Oncology Market Growth Research & Trend Report By Application (Clinical Diagnosis, Treatment Planning, Drug Discovery, Patient Monitoring), By Technology (Machine Learning, Natural Language Processing, Deep Learning, Computer Vision), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By End Use (Hospitals, Research Institutes, Diagnostic Laboratories, Pharmaceutical Companies) and Regional Insights By Size, Share, Industry Outlook - Forecast to 2035

Artificial Intelligence in Oncology Market Accelerates with Precision Medicine and Data-Driven Cancer Care

Market Size and Market Forecast Overview

The Artificial Intelligence in Oncology Market is experiencing rapid market growth as healthcare systems increasingly leverage AI to enhance cancer diagnosis, treatment planning, and clinical decision-making. Market analysis indicates that the global market size reached USD 2.91 billion in 2024, driven by rising cancer prevalence and the growing need for accurate, timely, and personalized oncology solutions. In 2025, the market size is projected to increase to USD 3.48 billion, reflecting expanding adoption of AI-powered imaging, predictive analytics, and decision-support platforms. According to market forecast and market projections, the Artificial Intelligence in Oncology Market is expected to reach USD 20.5 billion by 2035, growing at a strong CAGR of 19.4% during 2025–2035. This exceptional expansion highlights a highly favorable market economic outlook and a robust market global outlook for AI-enabled oncology technologies.

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Competitive Landscape and Market Top Companies

The Artificial Intelligence in Oncology Market features a highly competitive and innovation-driven landscape, combining global healthcare technology leaders, AI specialists, and data analytics companies. Market research shows that market top companies are focusing on machine learning algorithms, real-world data integration, and scalable AI platforms to strengthen market share and clinical impact.

Market Top Companies operating in the Artificial Intelligence in Oncology Market include:

• GE Healthcare
• Tempus
• PathAI
• Siemens Healthineers
• Microsoft
• CureMetrix
• Google
• Epic Systems
• Philips
• Flatiron Health
• Freenome
• Cerner
• F. Hoffmann-La Roche
• Oncora Medical
• IBM

These organizations are shaping market developments through AI-powered diagnostics, clinical workflow automation, and oncology data platforms.

Market Segment Analysis

Market segmentation of the Artificial Intelligence in Oncology Market reflects broad adoption across cancer care pathways and healthcare settings.

By Application:

• Cancer diagnosis and screening
• Treatment planning and decision support
• Drug discovery and development
• Clinical trial optimization

By Technology:

• Machine learning and deep learning
• Natural language processing
• Computer vision

By Deployment Mode:

• Cloud-based AI platforms
• On-premise AI solutions

By End Use:

• Hospitals and oncology centers
• Research institutions
• Pharmaceutical and biotechnology companies

Each market segment contributes to market growth dynamics by improving accuracy, reducing treatment variability, and accelerating oncology workflows.

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Key Market Dynamics and Business Insights

The Artificial Intelligence in Oncology Market is driven by multiple high-impact factors. Advancements in machine learning technology are enabling more accurate tumor detection, risk stratification, and outcome prediction. Increasing prevalence of cancer globally is amplifying market demands for efficient and scalable oncology solutions. Rising investments in healthcare AI from both public and private sectors are accelerating product development and clinical validation. Growing demand for personalized medicine is pushing adoption of AI tools that integrate genomic, imaging, and clinical data. Integration of AI in clinical trials is improving patient selection, trial efficiency, and drug development timelines. Together, these market growth dynamics strengthen market business insights and reinforce a positive long-term market forecast.

Regional Analysis and Market Regional Share

From a market region perspective, North America holds the largest market regional share in the Artificial Intelligence in Oncology Market, driven by advanced digital infrastructure, strong R&D investment, and early adoption of AI technologies in the US and Canada. Europe represents a significant market supported by public-private research collaborations and expanding digital oncology initiatives across Germany, the UK, France, Italy, and Spain. The Asia-Pacific region is emerging as the fastest-growing market region due to rising cancer burden, expanding healthcare digitization, and strong AI adoption in China, Japan, South Korea, and India. South America and the Middle East & Africa regions are witnessing gradual growth as healthcare AI adoption increases and oncology infrastructure develops.

Market Opportunities and Future Outlook

The Artificial Intelligence in Oncology Market offers strong market opportunities centered on early cancer detection technologies and personalized treatment planning. Integration with telemedicine platforms is expanding access to oncology expertise. AI-driven drug discovery and clinical trial optimization are accelerating innovation cycles. These trends are expected to strengthen long-term market projections and sustain rapid market growth across regions.

Key Highlights of the Artificial Intelligence in Oncology Market

The Artificial Intelligence in Oncology Market is positioned for exponential expansion, growing from USD 2.91 billion in 2024 to USD 20.5 billion by 2035. Strong participation from market top companies, rapid technology advancements, and increasing demand for precision oncology underpin a highly positive market global outlook. With continued investment, regulatory alignment, and clinical integration, AI is set to transform oncology care worldwide.

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Table of Contents

SECTION I: EXECUTIVE SUMMARY AND KEY HIGHLIGHTS

EXECUTIVE SUMMARY

Market Overview

Key Findings

Market Segmentation

Competitive Landscape

Challenges and Opportunities

Future Outlook

SECTION II: SCOPING, METHODOLOGY AND MARKET STRUCTURE

MARKET INTRODUCTION

RESEARCH METHODOLOGY

Overview

Data Mining

Secondary Research

Primary Research

Primary Interviews and Information Gathering Process

Breakdown of Primary Respondents

Forecasting Model

Market Size Estimation

Bottom-Up Approach

Top-Down Approach

Data Triangulation

Validation

SECTION III: QUALITATIVE ANALYSIS

MARKET DYNAMICS

Overview

Drivers

Restraints

Opportunities

MARKET FACTOR ANALYSIS

Value chain Analysis

Porter's Five Forces Analysis

Bargaining Power of Suppliers

Bargaining Power of Buyers

Threat of New Entrants

Threat of Substitutes

Intensity of Rivalry

COVID-19 Impact Analysis

Market Impact Analysis

Regional Impact

Opportunity and Threat Analysis

SECTION IV: QUANTITATIVE ANALYSIS…and many More

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