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
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