AI In Oncology Market Size, Share & Trends Analysis Report By Component Type (Software Solutions, Hardware), By Cancer Type (Breast Cancer, Lung Cancer), By Treatment Type, By Region, And Segment Forecasts, 2024 - 2030

AI In Oncology Market Size, Share & Trends Analysis Report By Component Type (Software Solutions, Hardware), By Cancer Type (Breast Cancer, Lung Cancer), By Treatment Type, By Region, And Segment Forecasts, 2024 - 2030


AI In Oncology Market Growth & Trends

The global AI in oncology market size is expected to reach USD 9.58 billion by 2030, registering a CAGR of 33.5% from 2024 to 2030, according to a new report by Grand View Research, Inc.The market is anticipated to witness exponential growth owing to increasing prevalence of cancer among the population which is further propelling the need for development of technologically advanced products for diagnosis, treatment, and analysis of cancer. For instance, according to the International Agency for Research on Cancer (IARC), over 20.7 million new cases are expected in 2023. Moreover, AI enables early detection, which is crucial for lowering mortality, especially through efficient screening programs.

AI is reshaping the current scenario of oncology by combining massive amounts of data generated by multi-omics analyses with recent advances in deep learning and high-performance computing strategies. Particularly, AI applications are expanding to include new approaches for detection, screening, diagnosis, and classification, with characterization of cancer genomics, analysis of tumor microenvironment, assessment of prognostic and predictive biomarkers, and strategies for follow-up and drug discovery. For instance, in October 2022, Model Medicines launched an oncology program, which focuses on the identification and development of therapeutics against two epigenetic and oncogenic targets with a major focus on applications for solid and hematological malignancies.

Rapid technological advancements in terms of accuracy, safety, and automation are anticipated to cater to market growth throughout the forecast period. AI is an emerging and informational technology that is helping significantly increase screening rates. Thus, a number of public and private organizations are focusing on funding and investment for R&D in AI-based oncology screening products. For instance, in March 2023, Artera received funding of USD 90 million for the launch and distribution of the ArteraAI Prostate Test, the first developed test for predicting therapy in localized prostate cancer.

The major players operating in the market are adopting strategies such as collaborations and partnerships with a major focus on development of newer products to aid in the early diagnosis of cancer, meet rising demand, and enhance research and development pipeline. For instance, in December 2022, AstraZeneca entered into a collaboration with Clinithink to launch an AI project for lung cancer. This project aims to detect lung cancer at an early stage to aid in the development of effective treatment. Furthermore, in November 2022, Google Health entered into a partnership with iCAD, Inc. for the improvement of breast cancer screening using the company’s artificial intelligence technology.

AI In Oncology Market Report Highlights
  • Based on component type, the software solutions segment held the largest revenue share in the market in 2023 owing to increasing adoption of software solutions for a wide number of applications due to the better outcomes offered by this component
  • Based on cancer type, the brain tumor segment is anticipated to grow at the fastest growth rate over the forecast period in the market with rising prevalence of the condition among the population
  • Based on treatment type, the chemotherapy segment accounted for the largest revenue share due to a higher number of patients undergoing chemotherapy to treat patients
  • North America dominated the market due to the availability of favorable government initiatives and digital infrastructure to provide digital solutions to patients
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Chapter 1 Methodology and Scope
1.1 Market Segmentation and Scope
1.1.1 Segment scope
1.1.2 Regional scope
1.1.3 Estimates and forecast timeline
1.2 Research Methodology
1.3 Information Procurement
1.3.1 Purchased database:
1.3.2 GVR’s internal database
1.3.3 Secondary sources
1.3.4 Primary research
1.3.5 Details of primary research
1.4 Information or Data Analysis
1.4.1 Data analysis models
1.5 Market Formulation & Validation
1.6 Model Details
1.6.1 Commodity Flow Analysis
1.6.1.1 Approach: Commodity Flow Approach
1.7 Research Assumptions
1.8 List of Secondary Sources
1.9 List of Abbreviations
Chapter 2 Executive Summary
2.1 Market Outlook
2.2 Segment Outlook
2.3 Competitive Insights
Chapter 3 AI In Oncology Market Variables, Trends, & Scope
3.1 Market Lineage Outlook
3.1.1 Parent market
3.2 Market Dynamics
3.2.1 Market drivers analysis
3.2.2 Market restraint analysis
3.3 Penetration & Growth Prospect Mapping
3.4 AI In Oncology: Market Analysis Tools
3.4.1 Industry analysis - Porter’s
3.4.2 PESTLE analysis
3.5 Regulatory Framework
Chapter 4 AI In Oncology Market Segment Analysis, By Component, 2016 - 2030 (USD Million)
4.1 Definition and Scope
4.2 Component TypeMarket Share Analysis, 2023 & 2030
4.3 Segment Dashboard
4.4 Global AI In Oncology Market, by Component, 2016 to 2030
4.5 Market Size & Forecasts and Trend Analyses, 2016 to 2030
4.5.1 Software Solutions
4.5.1.1 Software solutions market estimates and forecast, 2016 - 2030 (USD Million)
4.5.2 Hardware
4.5.2.1 Hardware market estimates and forecast, 2016 - 2030 (USD Million)
4.5.3 Services
4.5.3.1 Services market estimates and forecast, 2016 - 2030 (USD Million)
Chapter 5 AI In Oncology Market Segment Analysis, By Cancer Type, 2016 - 2030 (USD Million)
5.1 Definition and Scope
5.2 Cancer Type Market Share Analysis, 2023 & 2030
5.3 Segment Dashboard
5.4 Global AI In Oncology Market, by Cancer Type, 2016 to 2030
5.5 Market Size & Forecasts and Trend Analyses, 2016 to 2030
5.5.1 Breast Cancer
5.5.1.1 Breast cancer market estimates and forecast, 2016 - 2030 (USD Million)
5.5.2 Lung Cancer
5.5.2.1 Lung cancer market estimates and forecast, 2016 - 2030 (USD Million)
5.5.3 Prostate Cancer
5.5.3.1 Prostate cancer market estimates and forecast, 2016 - 2030 (USD Million)
5.5.4 Colorectal Cancer
5.5.4.1 Colorectal cancer market estimates and forecast, 2016 - 2030 (USD Million)
5.5.5 Brain Tumor
5.5.5.1 Brain tumor market estimates and forecast, 2016 - 2030 (USD Million)
5.5.6 Others
5.5.6.1 Others market estimates and forecast, 2016 - 2030 (USD Million)
Chapter 6 AI In Oncology Market Segment Analysis, By Treatment Type, 2016 - 2030 (USD Million)
6.1 Definition and Scope
6.2 Age Group Market Share Analysis, 2023 & 2030
6.3 Segment Dashboard
6.4 Global AI In Oncology Market, by Treatment Type, 2016 to 2030
6.5 Market Size & Forecasts and Trend Analyses, 2016 to 2030
6.5.1 Chemotherapy
6.5.1.1 Chemotherapy market estimates and forecast, 2016 - 2030 (USD Million)
6.5.2 Radiotherapy
6.5.2.1 Radiotherapy market estimates and forecast, 2016 - 2030 (USD Million)
6.5.3 Immunotherapy
6.5.3.1 Immunotherapy market estimates and forecast, 2016 - 2030 (USD Million)
6.5.4 Others
6.5.4.1 Others market estimates and forecast, 2016 - 2030 (USD Million)
Chapter 7 AI In Oncology Market Segment Analysis, By Region, 2016 - 2030 (USD Million)
7.1 Definition & Scope
7.2 Regional Market Share Analysis, 2023 & 2030
7.3 Regional Market Dashboard
7.4 Regional Market Snapshot
7.5 SWOT Analysis
7.5.1 North America
7.5.2 Europe
7.5.3 Asia Pacific
7.5.4 Latin America
7.5.5 Middle East & Africa
7.6 AI In Oncology Market Share by Region, 2023 & 2030
7.7 North America
7.7.1 North America AI in oncology market, 2016 - 2030 (USD Million)
7.7.2 U.S.
7.7.2.1 U.S. AI in oncology market, 2016 - 2030 (USD Million)
7.7.3 Canada
7.7.3.1 Canada AI in oncology market, 2016 - 2030 (USD Million)
7.8 Europe
7.8.1 Europe AI in oncology market, 2016 - 2030 (USD Million)
7.8.2 U.K.
7.8.2.1 U.K. AI in oncology market, 2016 - 2030 (USD Million)
7.8.3 Germany
7.8.3.1 Germany AI in oncology market, 2016 - 2030 (USD Million)
7.8.4 France
7.8.4.1 France AI in oncology market, 2016 - 2030 (USD Million)
7.8.5 Italy
7.8.5.1 Italy AI in oncology market, 2016 - 2030 (USD Million)
7.8.6. Spain
7.8.6.1 Spain AI in oncology market, 2016 - 2030 (USD Million)
7.8.7 Denmark
7.8.7.1 Denmark AI in oncology market, 2016 - 2030 (USD Million)
7.8.8 Sweden
7.8.8.1 Sweden AI in oncology market, 2016 - 2030 (USD Million)
7.8.9 Norway
7.8.9.1 Norway AI in oncology market, 2016 - 2030 (USD Million)
7.9 Asia Pacific
7.9.1 Asia Pacific AI in oncology market, 2016 - 2030 (USD Million)
7.9.2 China
7.9.2.1 China AI in oncology market, 2016 - 2030 (USD Million)
7.9.3 Japan
7.9.3.1 Japan AI in oncology market, 2016 - 2030 (USD Million)
7.9.4 India
7.9.4.1 India AI in oncology market, 2016 - 2030 (USD Million)
7.9.5 South Korea
7.9.5.1 South Korea AI in oncology market, 2016 - 2030 (USD Million)
7.9.6. Australia
7.9.6.1 Australia AI in oncology market, 2016 - 2030 (USD Million)
7.9.7 Thailand
7.9.7.1 Thailand AI in oncology market, 2016 - 2030 (USD Million)
7.10 Latin America
7.10.1 Latin America AI in oncology market, 2016 - 2030 (USD Million)
7.10.2 Brazil
7.10.2.1 Brazil AI in oncology market, 2016 - 2030 (USD Million)
7.10.3 Mexico
7.10.3.1 Mexico AI in oncology market, 2016 - 2030 (USD Million)
7.10.4.4 Argentina
7.10.4.1 Argentina AI in oncology market, 2016 - 2030 (USD Million)
7.11 MEA
7.11.1 MEA AI in oncology market, 2016 - 2030 (USD Million)
7.11.2 South Africa
7.11.2.1 South Africa AI in oncology market, 2016 - 2030 (USD Million)
7.11.3 Saudi Arabia
7.11.3.1 South Africa AI in oncology market, 2016 - 2030 (USD Million)
7.11.4 UAE
7.11.4.1 South Africa AI in oncology market, 2016 - 2030 (USD Million)
7.11.5 Kuwait
7.11.5.1 South Africa AI in oncology market, 2016 - 2030 (USD Million)
Chapter 8 AI In Oncology Market - Competitive Analysis
8.1 Recent Developments & Impact Analysis, by Key Market Participants
8.2 Company Categorization
8.3 Company Profiles
8.3.1 Azra AI
8.3.1.1 Company overview
8.3.1.2 Financial performance
8.3.1.3 Product benchmarking
8.3.1.4 Strategic Initiatives
8.3.2 IBM
8.3.2.1 Company overview
8.3.2.2 Financial performance
8.3.2.3 Product benchmarking
8.3.2.4 Strategic Initiatives
8.3.3 Siemens Healthcare GmbH
8.3.3.1 Company overview
8.3.3.2 Financial performance
8.3.3.3 Product benchmarking
8.3.3.4 Strategic Initiatives
8.3.4 Intel Corporation
8.3.4.1 Company overview
8.3.4.2 Financial performance
8.3.4.3 Product benchmarking
8.3.4.4 Strategic Initiatives
8.3.5 GE HealthCare
8.3.5.1 Company overview
8.3.5.2 Financial performance
8.3.5.3 Product benchmarking
8.3.5.4 Strategic Initiatives
8.3.6 NVIDIA Corporation,
8.3.6.1 Company overview
8.3.6.2 Financial performance
8.3.6.3 Product benchmarking
8.3.6.4 Strategic Initiatives
8.3.7 Digital Diagnostics Inc.
8.3.7.1 Company overview
8.3.7.2 Financial performance
8.3.7.3 Product benchmarking
8.3.7.4 Strategic initiatives
8.3.8 ConcertAI
8.3.8.1 Company overview
8.3.8.2 Financial performance
8.3.8.3 Product benchmarking
8.3.8.4 Strategic initiatives
8.3.9 Median Technologies
8.3.9.1 Company overview
8.3.9.2 Financial performance
8.3.9.3 Product benchmarking
8.3.9.4 Strategic initiatives
8.3.10 PathAI
8.3.10.1 Company overview
8.3.10.2 Financial performance
8.3.10.3 Product benchmarking
8.3.10.4 Strategic initiatives

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