Artificial Intelligence (AI) in Oncology Market Outlook, Trends And Future Opportunities (2024-2031)

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Artificial Intelligence (AI) in Oncology Market Outlook, Trends And Future Opportunities (2024-2031)

Artificial Intelligence (AI) in Oncology Market, By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Others), By Application (Cancer Detection and Diagnosis, Drug Discovery and Development, Clinical Trial Matching, Treatment Planning and Decision Support, Patient Monitoring and Care Management, Outcome Prediction and Prognosis, Others), By End-User (Hospitals and Clinics, Pharmaceutical and Biotechnology Companies, Research Institutions and Academia, Diagnostic Laboratories, Others), Region (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) The report offers a comprehensive view of the market from supply as well as demand side to help take informed decisions.

  • Published On: Jul 2025
  • Author(s): Sagar Karlekar
  • Report ID: IDA178
  • Region: Global
  • Format: PDF/EXCEL
Press Release: Artificial Intelligence (AI) in Oncology Market is Forecasted to Hit US$ 10.0 Bn By 2031 | CAGR 31.7%

Table of Contents

Chapter 1. Research Methodology and Scope

  • Market Segmentation and Scope
  • Regional Coverage
  • Objectives
  • Research Methodology

Chapter 2. Executive Summary

  • Market Landscape
  • Market Size & Forecast
  • Competitive Landscape

Chapter 3. Artificial Intelligence (AI) In Oncology Market: Application Market Trends, Size, and Future Outlook

  • Application Market Size (US$), CAGR (%), and Forecast (2021-2031)
  • Application Definitions, Technology Landscape
  • Application Market Drivers
    • Product Launches
    • Technology Launches
    • Other Relevant Market Drivers
  • Application Market Restraints

Chapter 4. Artificial Intelligence (AI) In Oncology Market: Technology Market Trends, Size, and Future Outlook

  • Technology Market Size (US$), CAGR (%), and Forecast (2021-2031)
  • Technology Definitions, Technology Landscape
  • Technology Market Drivers
    • Product Launches
    • Technology Launches
    • Other Relevant Market Drivers
  • Technology Market Restraints

Chapter 5. Artificial Intelligence (AI) In Oncology Market: End User Market Trends, Size, and Future Outlook

  • End User Market Size (US$), CAGR (%), and Forecast (2021-2031)
  • End User Definitions, Technology Landscape
  • End User Market Drivers
    • Product Launches
    • Technology Launches
    • Other Relevant Market Drivers
  • End User Market Restraints

Chapter 6. Artificial Intelligence (AI) In Oncology Market: Deployment Model Market Trends, Size, and Future Outlook

  • Deployment Model Market Size (US$), CAGR (%), and Forecast (2021-2031)
  • Deployment Model Definitions, Technology Landscape
  • Deployment Model Market Drivers
    • Product Launches
    • Technology Launches
    • Other Relevant Market Drivers
  • Deployment Model Market Restraints

Chapter 7. Artificial Intelligence (AI) In Oncology Market: Cancer Type Market Trends, Size, and Future Outlook

  • Cancer Type Market Size (US$), CAGR (%), and Forecast (2021-2031)
  • Cancer Type Definitions, Technology Landscape
  • Cancer Type Market Drivers
    • Product Launches
    • Technology Launches
    • Other Relevant Market Drivers
  • Cancer Type Market Restraints

Chapter 8. Artificial Intelligence (AI) In Oncology Market: Offering Market Trends, Size, and Future Outlook

  • Offering Market Size (US$), CAGR (%), and Forecast (2021-2031)
  • Offering Definitions, Technology Landscape
  • Offering Market Drivers
    • Product Launches
    • Technology Launches
    • Other Relevant Market Drivers
  • Offering Market Restraints

Chapter 9. Artificial Intelligence (AI) In Oncology Market: Data Type Market Trends, Size, and Future Outlook

  • Data Type Market Size (US$), CAGR (%), and Forecast (2021-2031)
  • Data Type Definitions, Technology Landscape
  • Data Type Market Drivers
    • Product Launches
    • Technology Launches
    • Other Relevant Market Drivers
  • Data Type Market Restraints

Chapter 10. Artificial Intelligence (AI) In Oncology Market: Regional Market Trends, Size, and Future Outlook

  • North America Trends, Market Size (US$), CAGR (%), and Future Outlook
    • North America Market Size (US$), CAGR (%), and Forecast (2021-2031)
    • North America Definitions, Technology Landscape
    • North America Market Drivers
      • Product Launches
      • Technology Launches
      • Other Relevant Market Drivers
    • North America Market Restraints
    • Competitive Outlook
  • Europe Trends, Market Size (US$), CAGR (%), and Future Outlook
  • Asia Pacific Trends, Market Size (US$), CAGR (%), and Future Outlook
  • Latin America Trends, Market Size (US$), CAGR (%), and Future Outlook
  • Middle East & Africa Trends, Market Size (US$), CAGR (%), and Future Outlook

Chapter 11. Artificial Intelligence (AI) In Oncology Market: Competitive Landscape

  • IBM Watson Health
    • Company Overview
    • Financial Outlook
    • Product Portfolio
    • Strategies
  • Tempus
  • GE Healthcare
  • Flatiron Health (Roche)
  • Nvidia Corporation
  • Microsoft Corporation
  • Google (Alphabet Inc.)
  • Sophia Genetics
  • Oncora Medical
  • Philips Healthcare
  • Path AI
  • Cerner Corporation
  • Siemens Healthineers
  • AstraZeneca
  • Pfizer

Research Methodology

  • Primary Research
  • Secondary Research
  • Assumptions
  • IDataAcumen Analysis
  • Paid Databases

Appendix

  • About Us

Frequently Asked Questions

The global AI in Oncology market is projected to reach US$ 10.0 billion by 2031.

The current market size of the AI in Oncology industry is estimated at US$ 1.45 billion in 2024.

The current market size of the AI in Oncology industry is estimated at US$ 1.45 billion in 2024.

Increasing cancer incidence, advancements in AI technologies, growing focus on personalized medicine, rising healthcare costs, need for improved diagnostic accuracy, integration with genomics, government initiatives, expanding research in oncology, adoption of cloud computing, and demand for efficient clinical decision support systems.

Data privacy concerns, lack of standardization, regulatory hurdles, high implementation costs, shortage of AI expertise in healthcare, resistance to change, interoperability issues, and ethical considerations.

The leading component segment is Machine Learning, used for analyzing complex medical data and identifying patterns in cancer diagnosis and treatment.

IBM Watson Health, Google Health, Microsoft Healthcare, Tempus Labs, Flatiron Health, Sophia Genetics, Oncora Medical, PathAI, Freenome, Arterys.

The AI in Oncology Market is projected to grow at a CAGR of 31.7% from 2024 to 2031, reaching a market size of US$ 10.0 billion by 2031.

Increasing cancer burden, advancements in AI technologies, focus on personalized medicine, adoption of clinical decision support systems, integration with genomics, and demand for improved diagnostic accuracy.
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