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Artificial Intelligence in Oncology Market

Published Aug 19, 2025
Length 180 Pages
SKU # CMI20399717

Description

Artificial intelligence (AI) plays an important role in oncology. There are various types of AI products that are helping in cancer screening, diagnosis, treatment, and drug development. One of the major products is an AI-assisted cancer screening tool. These tools use deep learning algorithms that have been trained on huge databases of medical images. They help physicians detect abnormalities in scans like CT, MRI, or mammograms. They can rapidly analyze a large number of images and highlight suspect areas that the doctor may miss with human screening alone. This improves the accuracy of detecting tumors at early stages and increases the number of lives saved. However, the algorithms need continuous updates with new data to improve over time. Misdiagnosis is also a risk because the AI may not be able to distinguish rare cancer types effectively.

Other important applications include the use of AI in cancer diagnostics, prognosis, and therapeutics. Using machine learning on vast pools of genomic and clinical cancer datasets, AI can recognize complex patterns, emerge with new insights, and predict treatment responses better than humans. This helps with customized and targeted therapy. AI is also speeding up drug development by assisting in target identification, compound screening, and clinical trial optimization.

Market Dynamics

Rising cancer incidence coupled with the increasing complexity of cancer treatment decisions is a key factor driving the adoption of AI solutions in oncology. The growing availability of digital health data and computational power is facilitating the development of advanced AI technologies. However, the high investment and costs required for the development of precision and clinical-grade AI solutions are a major restraint. Lack of interpretability and understanding of how AI arrives at its decisions also limits widespread adoption. Meanwhile, the potential of AI to help overcome drug resistance by enabling personalized treatment selection presents an opportunity. Partnerships between technology companies and research institutes aim to further validate the clinical applicability of AI.

Among regions, North America dominates the market due to high healthcare expenditures and better access to care. However, Asia Pacific is poised to be the fastest-growing market arena, led by countries like China and India. This growth can be attributed to growing economies, rising disposable incomes, expanding medical infrastructure, and the increasing adoption of technologically advanced cancer diagnostic tools.

Key features of the study
  • This report provides in-depth analysis of the global artificial intelligence in oncology market, and provides market size (USD Mn) and compound annual growth rate (CAGR%) for the forecast period 2025-2032, considering 2024 as the base year.
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market.
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players.
  • It profiles key players in the global artificial intelligence in oncology market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies.
  • Key companies covered as a part of this study include Azra AI, IBM Corporation, Siemens Healthineers AG, Intel Corporation, GE HealthCare, NVIDIA Corporation, Digital Diagnostics Inc., ConcertAI, Median Technologies, PathAI, Microsoft, Zebra Medical Vision, and Babylon.
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics.
  • The global artificial intelligence in oncology market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global artificial intelligence in oncology market.
Market Segmentation
  • By Component
  • Software/Platform
  • Hardware
  • Services
  • By Cancer Type
  • Breast Cancer
  • Lung Cancer
  • Prostate Cancer
  • Colorectal Cancer
  • Brain Tumor
  • Others
  • By Treatment Type
  • Chemotherapy
  • Radiotherapy
  • Immunotherapy
  • Others
  • By End User
  • Hospitals & Clinics
  • Diagnostic Centers
  • Biopharmaceutical Companies
  • Others
  • By Region
  • North America
  • U.S.
  • Canada
  • Latin America
  • Brazil
  • Argentina
  • Mexico
  • Rest of Latin America
  • Europe
  • Germany
  • U.K.
  • Spain
  • France
  • Italy
  • Russia
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • ASEAN
  • Rest of Asia Pacific
  • Middle East
  • GCC Countries
  • Israel
  • Rest of Middle East
  • Africa
  • South Africa
  • North Africa
  • Central Africa
  • Top companies in Global Artificial Intelligence in Oncology Market
  • Azra AI
  • IBm Corporation
  • Siemens Healthineers AG
  • Intel Corporation
  • GE HealthCare
  • NVIDIA Corporation
  • Digital Diagnostics Inc.
  • ConcertAI
  • Median Technologies
  • PathAI
  • Microsoft
  • Zebra Medical Vision
  • Babylon

Table of Contents

180 Pages
1. Research Objectives and Assumptions
Research Objectives
Assumptions
Abbreviations
2. Market Purview
Report Description
Market Definition and Scope
Executive Summary
Top 3 Market Findings
Top 3 Market Opportunity
3. Key Industry Insights
Market Dynamics
Drivers
Restraints
Opportunities
Impact Analysis
Pest Analysis
Porters Analysis
Technological Advancement
Merger, Acquisition and Collaboration Scenario
Recent Product Approvals/Launches
Company Market Share Analysis
4. Artificial Intelligence In Oncology Market, By Component Type, 2020 - 2032 ( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Segment Trends
Software Solutions, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Hardware, 2020 - 2032( USD Mn
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Services, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
5. Artificial Intelligence In Oncology Market, By Cancer Type, 2020 - 2032 ( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Segment Trends
Breast Cancer, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Lung Cancer, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Prostate Cancer, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Colorectal Cancer, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Brain Tumor, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Others, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
6. Artificial Intelligence In Oncology Market, By Treatment Type, 2020 - 2032 ( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Segment Trends
Chemotherapy, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Radiotherapy, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Immunotherapy, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
Others, 2020 - 2032( USD Mn)
Introduction
Market Size and Forecast, 2020 - 2032, ( USD Mn)
7. Artificial Intelligence In Oncology Market, By Region, 2020-2032, (USD Mn)
Introduction
Market Share Analysis, 2020 - 2032, ( USD Mn)
Segment Trends
North America
Introduction
Market Size and Forecast, By Component Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Cancer Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Treatment Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Country, 2020 - 2032, ( USD Mn)
U.S.
Canada
Europe
Introduction
Market Size and Forecast, By Component Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Cancer Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Treatment Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Country, 2020 - 2032, ( USD Mn)
U.K
Germany
France
Italy
Spain
Russia
Rest of Europe
Asia Pacific
Introduction
Market Size and Forecast, By Component Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Cancer Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Treatment Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Country, 2020 - 2032, ( USD Mn)
China
India
Japan
Australia
South Korea
ASEAN
Rest of Asia Pacific
Latin America
Introduction
Market Size and Forecast, By Component Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Cancer Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Treatment Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Country, 2020 - 2032, ( USD Mn)
Brazil
Mexico
Argentina
Rest of Latin America
Middle East
Introduction
Market Size and Forecast, By Component Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Cancer Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Treatment Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Country, 2020 - 2032, ( USD Mn)
GCC
Israel
Rest of Middle East
Africa
Introduction
Market Size and Forecast, By Component Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Cancer Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Treatment Type, 2020 - 2032, ( USD Mn)
Market Size and Forecast, By Country, 2020 - 2032, ( USD Mn)
North Africa
Central Africa
South Africa
8. Company Profiles - Artificial Intelligence In Oncology Market
NVIDIA Corporation
Digital Diagnostics Inc.
ConcertAI
Median Technologies
PathAI
Azra AI
IBM
Siemens Healthcare GmbH
Intel Corporation
GE HealthCare
Microsoft
Zebra Medical Vision
Babylon
9. References and Research Methodology
References
Research Methodology
About us and Sales Contact
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