AI In Oncology For Analytical Solutions Market Size Report, 2023-2032
The global AI in oncology for analytical solutions market size was exhibited at USD 698.9 million in 2022 and is projected to hit around USD 14,689.67 million by 2032, growing at a CAGR of 35.6% during the forecast period 2023 to 2032.
Key Pointers:
AI In Oncology For Analytical Solutions Market Report Scope
| Report Coverage | Details |
| Market Size in 2023 | USD 947.71 million |
| Market Size by 2032 | USD 14,689.67 million |
| Growth Rate From 2023 to 2032 | CAGR of 35.6% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | Cancer Type, Component |
| Market Analysis (Terms Used) | Value (US$ Million/Billion) or (Volume/Units) |
| Regional Scope | North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa |
| Key Companies Profiled | Azra AI; IBM; Siemens Healthineers; Intel; GE Healthcare; NVIDIA; Digital Diagnostics Inc.; Concert.AI; Median Technologies; Path AI |
The increasing demand to reduce healthcare costs is expected to be a crucial factor driving the adoption of artificial intelligence (AI) in oncology for analytical solutions. The implementation of artificial intelligence algorithms in oncology can significantly improve the accuracy of procedures and reduce the costs associated with treatment by avoiding unnecessary tests. For instance, a June 2021 study published in Frontiers found that incorporating artificial intelligence in the diagnosis of colorectal cancer helped save around USD 400 million, primarily due to the early detection of cancer.
The high prevalence of cancer-related diseases worldwide is expected to drive the expansion during the forecast period. For example, the American Cancer Society, Inc. estimates that by the end of 2022, there will be nearly 1.9 million new diagnoses and 609,360 cancer-related deaths in the U.S. Additionally, lung, breast, rectal, and colon cancers were the most common cancers in February 2022, according to the World Health Organization. Moreover, a third of global cancer deaths are attributed to high body mass index, tobacco use, and lack of physical activity. Therefore, the increasing prevalence of this disease globally is expected to increase the adoption of artificial intelligence for more accurate diagnosis, contributing to the growth of the AI in oncology analytical solutions market.
The market is anticipated to grow due to improvements in healthcare infrastructure and the increasing prevalence of cancer. By utilizing artificial intelligence technology, healthcare providers can diagnose and plan treatment procedures with greater ease. The use of artificial intelligence enables earlier and more accurate detection, reducing treatment costs and enhancing the patient experience through personalized treatment. Additionally, the growth is fueled by initiatives from government and non-government organizations that invest in healthcare R&D. For instance, the Indian government plans to introduce healthcare infrastructure programs worth USD 6.19 billion, according to a recent report from IBEF.
The key players in the AI in the oncology for analytical solutions market are engaging in various strategies including mergers, acquisitions, product launches, and collaboration, which is expected to drive growth during the forecast period. For instance, in November 2022, RadNet, Inc., a provider of cost-effective, high-quality outpatient diagnostic imaging services, announced that its subsidiary Aidence, which specializes in lung artificial intelligence, has entered into an agreement with Google Health, to license later artificial intelligence research model for predicting lung nodule malignancy on CT imaging. Aidence will further develop and validate the model, and bring it to the market to support early and accurate lung cancer diagnosis, as well as reduce the need for unnecessary screening procedures. The market is also growing due to the increasing presence of new entrepreneurial startups that offer innovative solutions for treating and accurately forecasting its development. For instance, a UK-based startup the Concr is a provider of a software platform that employs a machine learning method that is based on an extensive understanding of scientific projections to forecast how tumors will progress and to more accurately predict how cancer will evolve in response to treatment.
Some of the prominent players in the AI In Oncology For Analytical Solutions Market include:
Segments Covered in the Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global AI In Oncology For Analytical Solutions market.
By Component
By Cancer Type
By Region
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on AI In Oncology For Analytical Solutions Market
5.1. COVID-19 Landscape: AI In Oncology For Analytical Solutions Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global AI In Oncology For Analytical Solutions Market, By Cancer Type
8.1. AI In Oncology For Analytical Solutions Market, by Cancer Type, 2023-2032
8.1.1. Data Licensing Services
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Software Solutions
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Analytics and Other Services
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global AI In Oncology For Analytical Solutions Market, By Component
9.1. AI In Oncology For Analytical Solutions Market, by Component, 2023-2032
9.1.1. Breast Cancer
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Lung Cancer
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Prostate Cancer
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Colorectal Cancer
9.1.4.1. Market Revenue and Forecast (2020-2032)
9.1.5. Brain Tumor
9.1.5.1. Market Revenue and Forecast (2020-2032)
9.1.6. Kidney Cancer
9.1.6.1. Market Revenue and Forecast (2020-2032)
9.1.7. Non-Hodgkin Lymphoma
9.1.7.1. Market Revenue and Forecast (2020-2032)
9.1.8. Bladder Cancer
9.1.8.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global AI In Oncology For Analytical Solutions Market, Regional Estimates and Trend Forecast
10.1. North America
10.1.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.1.2. Market Revenue and Forecast, by Component (2020-2032)
10.1.3. U.S.
10.1.3.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.1.3.2. Market Revenue and Forecast, by Component (2020-2032)
10.1.4. Rest of North America
10.1.4.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.1.4.2. Market Revenue and Forecast, by Component (2020-2032)
10.2. Europe
10.2.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.2.2. Market Revenue and Forecast, by Component (2020-2032)
10.2.3. UK
10.2.3.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.2.3.2. Market Revenue and Forecast, by Component (2020-2032)
10.2.4. Germany
10.2.4.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.2.4.2. Market Revenue and Forecast, by Component (2020-2032)
10.2.5. France
10.2.5.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.2.5.2. Market Revenue and Forecast, by Component (2020-2032)
10.2.6. Rest of Europe
10.2.6.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.2.6.2. Market Revenue and Forecast, by Component (2020-2032)
10.3. APAC
10.3.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.3.2. Market Revenue and Forecast, by Component (2020-2032)
10.3.3. India
10.3.3.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.3.3.2. Market Revenue and Forecast, by Component (2020-2032)
10.3.4. China
10.3.4.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.3.4.2. Market Revenue and Forecast, by Component (2020-2032)
10.3.5. Japan
10.3.5.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.3.5.2. Market Revenue and Forecast, by Component (2020-2032)
10.3.6. Rest of APAC
10.3.6.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.3.6.2. Market Revenue and Forecast, by Component (2020-2032)
10.4. MEA
10.4.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.4.2. Market Revenue and Forecast, by Component (2020-2032)
10.4.3. GCC
10.4.3.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.4.3.2. Market Revenue and Forecast, by Component (2020-2032)
10.4.4. North Africa
10.4.4.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.4.4.2. Market Revenue and Forecast, by Component (2020-2032)
10.4.5. South Africa
10.4.5.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.4.5.2. Market Revenue and Forecast, by Component (2020-2032)
10.4.6. Rest of MEA
10.4.6.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.4.6.2. Market Revenue and Forecast, by Component (2020-2032)
10.5. Latin America
10.5.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.5.2. Market Revenue and Forecast, by Component (2020-2032)
10.5.3. Brazil
10.5.3.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.5.3.2. Market Revenue and Forecast, by Component (2020-2032)
10.5.4. Rest of LATAM
10.5.4.1. Market Revenue and Forecast, by Cancer Type (2020-2032)
10.5.4.2. Market Revenue and Forecast, by Component (2020-2032)
Chapter 11. Company Profiles
11.1. Azra AI
11.1.1. Company Overview
11.1.2. Product Offerings
11.1.3. Financial Performance
11.1.4. Recent Initiatives
11.2. IBM
11.2.1. Company Overview
11.2.2. Product Offerings
11.2.3. Financial Performance
11.2.4. Recent Initiatives
11.3. Siemens Healthineers
11.3.1. Company Overview
11.3.2. Product Offerings
11.3.3. Financial Performance
11.3.4. Recent Initiatives
11.4. Intel
11.4.1. Company Overview
11.4.2. Product Offerings
11.4.3. Financial Performance
11.4.4. Recent Initiatives
11.5. GE Healthcare
11.5.1. Company Overview
11.5.2. Product Offerings
11.5.3. Financial Performance
11.5.4. Recent Initiatives
11.6. NVIDIA
11.6.1. Company Overview
11.6.2. Product Offerings
11.6.3. Financial Performance
11.6.4. Recent Initiatives
11.7. Digital Diagnostics Inc.
11.7.1. Company Overview
11.7.2. Product Offerings
11.7.3. Financial Performance
11.7.4. Recent Initiatives
11.8. Concert.AI
11.8.1. Company Overview
11.8.2. Product Offerings
11.8.3. Financial Performance
11.8.4. Recent Initiatives
11.9. Median Technologies
11.9.1. Company Overview
11.9.2. Product Offerings
11.9.3. Financial Performance
11.9.4. Recent Initiatives
11.10. Path AI
11.10.1. Company Overview
11.10.2. Product Offerings
11.10.3. Financial Performance
11.10.4. Recent Initiatives
Chapter 12. Research Methodology
12.1. Primary Research
12.2. Secondary Research
12.3. Assumptions
Chapter 13. Appendix
13.1. About Us
13.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers