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Global Artificial Intelligence in Oncology Market is Size, Trends, and Growth Opportunity, By Component (Software Solutions, Hardware, and Services), By Cancer Type (Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, and Other Cancer Types), By Treatment Type (Chemotherapy, Radiotherapy, Immunotherapy, and Other Treatment Types), By Application (Cancer Detection, Drug Discovery, Drug Development, and Other Applications), By Region and Forecast to 2030.


Report ID : IR1002380 | Industries : Energy & Power | Published On :June 2024 | Page Count : 242

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  • Global Artificial Intelligence in Oncology Market is Size, Trends, and Growth Opportunity, By Component (Software Solutions, Hardware, and Services), By Cancer Type (Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, and Other Cancer Types), By Treatment Type (Chemotherapy, Radiotherapy, Immunotherapy, and Other Treatment Types), By Application (Cancer Detection, Drug Discovery, Drug Development, and Other Applications), By Region and Forecast to 2030.
    Global Artificial Intelligence in Oncology Market 
    The Global Artificial Intelligence in Oncology Market was valued at USD 891.44 million in 2022 and is expected to reach 10,210.29 million by 2030, at a CAGR 35.14% during the forecast period 2023- 2030.
    Oncology can use AI in a variety of ways. For women with breast cancer, CanAssist Breast (CAB) supports individualized treatment plans. Each patient's chance of a cancer recurrence is predicted by CAB using AI, and the doctor makes treatment decisions on this information. By examining the patterns of over- and under-expression of particular genes implicated in tumor growth, OncoStem Diagnostics is now creating predictive tests for additional cancers, such as triple-negative breast cancer and ovarian cancer
    Market Drivers
    Increasing technological advances in the healthcare sector are anticipated to propel market growth during the forecast period. The growth of the healthcare sector is fueled by technological development and the application of AI in cancer diagnoses. Artificial tools need speedy data reporting on detection and low-cost diagnostic procedures. 
    Industry growth is also anticipated to be aided by the demand for technology developments in the healthcare sector for cancer detection and screening. Government spending on healthcare technologies also promotes the growth of the healthcare industries in developing countries.
    Market Restraints
    Healthcare AI applications are not widely known which is hampering the market expansion in the coming years. The management of enormous datasets and databases, as well as the training and expertise in AI systems and machine learning, pose the biggest challenges to deep learning techniques. However, because AI has the potential to reveal sensitive personal information like genomic sequences, its use could lead to data breaches.  
    Market Segmentation
    The Global Artificial Intelligence in Oncology Market is segmented into Components, Cancer Type, Treatment Type, and Application.
    Based on Component, the market is classified into Software Solutions, Hardware, and Services.
    Based on Cancer Type, the market is divided into Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, and Other Cancer Types.
    Based on Treatment Type, the market is segmented into Chemotherapy, Radiotherapy, Immunotherapy, and Other Treatment Types.
    Based on Application, the market is bifurcated into Cancer Detection, Drug Discovery, Drug Development, and Other Applications.
    Regional Analysis
    The Global Artificial Intelligence in Oncology Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and the Middle East & Africa.
    Due to factors including the existence of digital infrastructure and favorable regulatory and reimbursement laws, North America is anticipated to dominate the market. For instance, according to a September 2022 article in Elsevier, AI speeds up MRI scans, saving time and money while improving patient outcomes. To democratize healthcare access in the nation and enhance overall health outcomes, the government of the United States implements direct reimbursement rules. Thus, one of the major drivers fueling the expansion of the market under study in North America is a rise in government reimbursements in the United States.
    The use of AI in oncology has decreased the total expenses of cancer therapy without lowering the standard of care, which is driving more demand for it in the area.
    Key Development
    In September 2021, Owkin, Inc. announced the creation of a deep-learning model that forecasts survival and health outcomes for hepatocellular cancer in association with Cleveland Clinic experts.
    In August 2022, a GI GeniusTM intelligent endoscopy module was introduced by Medtronic plc in India. Improved visualization during colonoscopy, aids medical professionals in the diagnosis of colorectal cancer. 
    Key Players
    Various key players are discussed in the Global Artificial Intelligence in Oncology Market Report including: Pfizer, Therapixel, Sophia Genetics, Freenome, Tempus, Janssen Pharmaceutica, Path AI, Google Deep Mind, IBM, Microsoft, Cerner Corporation, RaySearch Laboratories, Flatiron, Whiterabbit.ai, Oncology Analytics, Inc, Oncora Medical, Ibex Medical Analytics, 4baseCare
    Market Taxonomy
    By Component
    • Software Solutions
    • Hardware
    • Services
    By Cancer Type
    • Breast Cancer
    • Lung Cancer
    • Prostate Cancer
    • Colorectal Cancer
    • Brain Tumor
    • Other Cancer Types
    By Treatment Type
    • Chemotherapy
    • Radiotherapy
    • Immunotherapy
    • Other Treatment Types
    By Application
    • Cancer Detection
    • Drug Discovery
    • Drug Development
    • Other Applications
    By Region
    • North America  
    • Latin America  
    • Europe  
    • Asia Pacific  
    • Middle East & Africa


     

    Global Artificial Intelligence in Oncology Market
    1 Introduction 
    1.1 Objective of the Study
    1.2 Market definition
    1.3 Market Scope
    2 Research Methodology
    2.1 Data Mining
    2.2 Validation
    2.3 Primary Interviews
    2.4 List of Data Sources
    3 Executive Summary
    4 Global Artificial Intelligence in Oncology Market Outlook
    4.1 Overview
    4.2 Market Dynamics
    4.2.1 Drivers
    4.2.2 Restraints
    4.2.3 Opportunities
    4.2.4 Cumulative Impact due to recent Energy Crisis
    4.2.5 Cumulative Impact due to nearing economic downturn 
    4.2.6 Post covid-19 world Supply & Demand conditions
    4.2.7 Cumulative Impact of Russia-Ukraine Conflict
    4.3 Porters Five Force Model
    4.4 Value Chain Analysis
    5 Global Artificial Intelligence in Oncology Market, By Component 
    5.1 Y-o-Y Growth Comparison, By Component  
    5.2 Global Artificial Intelligence in Oncology Market Share Analysis, By Component  
    5.3 Global Artificial Intelligence in Oncology Market Size and Forecast, By Component 
    5.3.1 Software Solutions
    5.3.2 Hardware
    5.3.3 Services
    6 Global Artificial Intelligence in Oncology Market, By Cancer Type 
    6.1 Y-o-Y Growth Comparison, By Application
    6.2 Global Artificial Intelligence in Oncology Market Share Analysis, By Cancer Type 
    6.3 Global Artificial Intelligence in Oncology Market Size and Forecast, By Cancer Type 
    6.4.1 Breast Cancer
    6.4.2 Lung Cancer
    6.4.3 Prostate Cancer
    6.4.4 Colorectal Cancer
    6.4.5 Brain Tumor
    6.4.6 Other Cancer Types
    8 Global Artificial Intelligence in Oncology Market, By Treatment Type
    8.1 Y-o-Y Growth Comparison, By Treatment Type
    8.2 Global Artificial Intelligence in Oncology Market Share Analysis, By Treatment Type
    8.3 Global Artificial Intelligence in Oncology Market Size and Forecast, By Treatment Type
    8.3.1 Chemotherapy
    8.3.2 Radiotherapy
    8.3.3 Immunotherapy
    8.3.4 Other Treatment Types
    9 Global Artificial Intelligence in Oncology Market, By Application 
    9.1 Y-o-Y Growth Comparison, By Application 
    9.2 Global Artificial Intelligence in Oncology Market Share Analysis, By Application 
    9.3 Global Artificial Intelligence in Oncology Market Size and Forecast, By Application 
    9.3.1 Cancer Detection
    9.3.2 Drug Discovery
    9.3.3 Drug Development
    9.3.4 Other Applications
    10 Global Artificial Intelligence in Oncology Market, By Region
    10.1 Global Artificial Intelligence in Oncology Market Share Analysis, By Region
    10.2 Global Artificial Intelligence in Oncology Market Size and Forecast, By Region
    11 North America Artificial Intelligence in Oncology Market Analysis and Forecast (2023-2030)
    11.1 Introduction
    11.2 North America Artificial Intelligence in Oncology Market Share Analysis, ByComponent  
    11.3 North America Artificial Intelligence in Oncology Market Size and Forecast, By Cancer Type 
    11.4 North America Artificial Intelligence in Oncology Market Size and Forecast, By Treatment Type
    11.5 North America Artificial Intelligence in Oncology Market Size and Forecast, By Application 
    11.6 North America Artificial Intelligence in Oncology Market Size and Forecast, By Country
    11.6.1 U.S.
    11.6.2 Canada
    11.6.3 Mexico
    12 Europe Artificial Intelligence in Oncology Market Analysis and Forecast (2023-2030)
    12.1 Introduction
    12.2 Europe Artificial Intelligence in Oncology Market Share Analysis, By Component  
    12.3 Europe Artificial Intelligence in Oncology Market Size and Forecast, By Cancer Type 
    12.4 Europe Artificial Intelligence in Oncology Market Size and Forecast, By Treatment Type
    12.5 Europe Artificial Intelligence in Oncology Market Size and Forecast, By Application 
    12.6 Europe Artificial Intelligence in Oncology Market Size and Forecast, By Country
    12.6.1 Germany
    12.7.2 France
    12.7.3 UK
    12.7.4 Rest of Europe
    13 Asia Pacific Artificial Intelligence in Oncology Market Analysis and Forecast (2023-2030)
    13.1 Introduction
    13.2 Asia Pacific Artificial Intelligence in Oncology Market Share Analysis, By Component  
    13.3 Asia Pacific Artificial Intelligence in Oncology Market Size and Forecast, By Cancer Type 
    13.4 Asia Pacific Artificial Intelligence in Oncology Market Size and Forecast, By Treatment Type
    13.5 Asia Pacific Artificial Intelligence in Oncology Market Size and Forecast, By Application 
    13.6 Asia Pacific Artificial Intelligence in Oncology Market Size and Forecast, By Country
    13.6.1 China 
    13.6.2 Japan
    13.6.3 India
    13.6.4 Rest of Asia Pacific
    14 6atin America Artificial Intelligence in Oncology Market Analysis and Forecast (2023-2030)
    14.1 Introduction
    14.2 Latin America Artificial Intelligence in Oncology Market Share Analysis, By Component  
    14.3 Latin America Artificial Intelligence in Oncology Market Size and Forecast, By Cancer Type 
    14.4 Latin America Artificial Intelligence in Oncology Market Size and Forecast, By Treatment Type
    14.5 Latin America Artificial Intelligence in Oncology Market Size and Forecast, By Application 
    14.6 Latin America Artificial Intelligence in Oncology Market Size and Forecast, Country
    14.6.1 Brazil
    14.6.2 Rest of Latin America
    15 Middle East Artificial Intelligence in Oncology Market Analysis and Forecast (2023-2030)
    15.1 Introduction
    15.2 Middle East Artificial Intelligence in Oncology Market Share Analysis, By Component  
    15.3 Middle East Artificial Intelligence in Oncology Market Size and Forecast, By Cancer Type 
    15.4 Middle East Artificial Intelligence in Oncology Market Size and Forecast, By Treatment Type
    15.5 Middle East Artificial Intelligence in Oncology Market Size and Forecast, By Application 
    15.6 Middle East Artificial Intelligence in Oncology Market Size and Forecast, By Country
    15.6.1 Saudi Arabia
    15.6.2 UAE
    15.6.3 Egypt
    15.6.4 Kuwait
    15.6.5 South Africa
    16 Competitive Analysis
    16.1 Competition Dashboard
    16.2 Market share Analysis of Top Vendors
    16.3 Key Development Strategies
    17 Company Profiles
    17.1 Pfizer
    17.1.1 Overview
    17.1.2 Offerings
    17.1.3 Key Financials
    17.1.4 Business Segment & Geographic Overview
    17.1.5 Key Market Developments
    17.1.6 Key Strategies
    17.2 Therapixel
    17.2.1 Overview
    17.2.2 Offerings
    17.2.3 Key Financials
    17.2.4 Business Segment & Geographic Overview
    17.2.5 Key Market Developments
    17.2.6 Key Strategies
    17.3 Sophia Genetics
    17.3.1 Overview
    17.3.2 Offerings
    17.3.3 Key Financials
    17.3.4 Business Segment & Geographic Overview
    17.3.5 Key Market Developments
    17.3.6 Key Strategies
    17.4 Freenome
    17.4.1 Overview
    17.4.2 Offerings
    17.4.3 Key Financials
    17.4.4 Business Segment & Geographic Overview
    17.4.5 Key Market Developments
    17.4.6 Key Strategies
    17.5 Tempus
    17.5.1 Overview
    17.5.2 Offerings
    17.5.3 Key Financials
    17.5.4 Business Segment & Geographic Overview
    17.5.5 Key Market Developments
    17.5.6 Key Strategies
    17.6 Janssen Pharmaceutica
    17.6.1 Overview
    17.6.2 Offerings
    17.6.3 Key Financials
    17.6.4 Business Segment & Geographic Overview
    17.6.5 Key Market Developments
    17.6.6 Key Strategies
    17.7 Path AI
    17.7.1 Overview
    17.7.2 Offerings
    17.7.3 Key Financials
    17.7.4 Business Segment & Geographic Overview
    17.7.5 Key Market Developments
    17.7.6 Key Strategies
    17.8 Google Deep Mind
    17.8.1 Overview
    17.8.2 Offerings
    17.8.3 Key Financials
    17.8.4 Business Segment & Geographic Overview
    17.8.5 Key Market Developments
    17.8.6 Key Strategies
    17.9 IBM
    17.9.1 Overview
    17.9.2 Offerings
    17.9.3 Key Financials
    17.9.4 Business Segment & Geographic Overview
    17.9.5 Key Market Developments
    17.9.6 Key Strategies
    17.10 Microsoft
    17.10.1 Overview
    17.10.2 Offerings
    17.10.3 Key Financials
    17.10.4 Business Segment & Geographic Overview
    17.10.5 Key Market Developments
    17.10.6 Key Strategies