The “AI Industry Trends and Global Forecast for Oncology Market to 2035 by Cancer Type, End-User Type, and Key Geographic Regions” report has been added to ResearchAndMarkets.com's offering.
The AI in oncology market is estimated to grow from USD 2.4 billion in 2025 to USD 9.1 billion by 2035, at a high CAGR of 14.1% during the forecast period.
AI is highly utilized for data collection, evaluation, and real-time interpretation in the pharmaceutical industry. In fact, the integration of AI-based software solutions will enable clinicians to detect cancer early and develop personalized therapies to treat various oncological indications. Additionally, AI-powered technologies in oncology will significantly reduce the cost of cancer testing and treatment. Driven by the importance brought by AI technology, experts believe that the use of AI in the oncology market has great potential to generate revenue in the future.
The increasing risk of cancer around the world has significantly increased the demand for advanced cancer diagnostics and therapeutics to treat patients. It is a well-known fact that cancer is the leading cause of death worldwide. Additionally, the International Agency for Research on Cancer suggests that cancer-related deaths are likely to increase by 72% by 2030. Therefore, driving forces such as technological innovation and increasing cancer incidence will result in transformative growth of AI in the oncology market. However, it will still be important to overcome challenges such as regulatory hurdles and data privacy to realize its full potential in the coming years.
Artificial Intelligence in Oncology Market: Key Insights
This report delves into the current state of artificial intelligence in the oncology market and identifies potential growth opportunities within the industry.
Key findings from the report include:
In the current market environment, there are over 70 companies involved in developing AI-based software solutions for the oncology field. More than 50% of players use machine learning-powered solutions for diagnostic purposes in hospitals. Geographically, software providers are well distributed. In pursuit of gaining a competitive edge, industry players are aggressively upgrading existing capabilities and enhancing their AI-focused service portfolios. Recent increased partnership activity has increased interest in this market. Approximately 50% of the deal was entered into to enable the use and integration of proprietary AI-based technology solutions. A number of public and private investors have invested around US$6 billion worth of investments, hoping for big returns. 70% of funding initiatives were led by venture capitalists. Over the past five years, more than 2,770 patents exclusively for the development of AI-based software solutions for oncology have been granted/filed by academic and industry stakeholders. The market is expected to grow at a healthy 14.1% over the next 10 years. The opportunities can be well distributed across different target indications, molecule types, and different geographies.
AI in the oncology market: Scope of the study
Market Size and Opportunity Analysis: This report features a thorough analysis of the global Oncology AI market in terms of key market segments such as types of antibodies produced, cancer types, end-user types, and geographical regions. Market Status: A detailed assessment of the companies involved in AI in the oncology market based on several relevant parameters such as year of establishment, company size, location of headquarters, type of end users, type of services offered, type of AI technology used, and type of platform. Company Competitive Analysis: A comprehensive competitive analysis of AI in oncology solution providers, examining factors such as company strengths and portfolio strengths. Company Overview: Detailed profiles of the leading service providers engaged in AI in the oncology market. Focuses on company overview, financial information, service portfolio, recent developments and informed future outlook. Patent Analysis: Provides an in-depth analysis of the patents filed/granted till date in the Oncology AI market domain based on various relevant parameters such as patent publication year, patent type, patent jurisdiction, CPC symbol, applicant type, jurisdiction, leading companies, benchmark analysis, and patent valuation. Partnerships and Analysis: An insightful analysis of deals concluded by Oncology AI market stakeholders based on several parameters such as year of partnership, type of partnership, cancer type, most active players, and geographical distribution of partnership activities. Funding and Investment Analysis: Detailed analysis of funds raised by AI in drug discovery companies based on relevant parameters such as year of funding, investment amount by year, funding type, investment amount by company size, investment amount by investor type, most active players, most active investors, geographic analysis. Blue ocean analysis: A strategic guide for startups to enter competitive markets. We evaluate players based on various frameworks such as Value Innovation, Strategy Canvas, Four Action Framework, ERRC (Eliminating, Generating, Reducing, and Creating) Grid, Six Path Framework, Pioneer-Settler-Settler (PMS) Map, Three Tiers of Non-Customers, Set of Blue Ocean Strategies, and Buyer Utility Map.
The key players in the Oncology AI market profiled in the report are:
Berg (part of BPGbio) CancerCenter.AI Concert AI GE Healthcare IBM Watson Health iCAD JLK Inspection Median Technologies Path AI Roche Diagnostics
Key questions answered in this report
How many companies are currently operating in this market? Who are the leading companies in this market? What are the factors likely to influence the development of this market? What is the current and future market size? What is the CAGR of this market? How are the current and future market opportunities likely to be distributed among the major market segments?
additional benefits
Free PPT Insight Pack Free Excel data pack for all analysis modules in the report 15% free content customization Detailed report walkthrough session with the research team Free updated report if the report is older than 6-12 months
Main topics covered:
1. Introduction
2. Executive summary
3. Introduction
3.1.Chapter overview
3.2. Overview of artificial intelligence
3.3. Types of artificial intelligence
3.4. AI in healthcare
3.5. Main challenges related to the use of AI in the healthcare sector
3.6. Future prospects
4. Market overview
4.1.Chapter overview
4.2. AI in Oncology: Market Status of Software Providers
5. Company profile
5.1.Chapter overview
5.2. Roche Diagnostics
5.3. IBM Watson Health
5.4. CancerCenter.AI
5.5. GE Healthcare
5.6.Concert AI
5.7.Path AI
5.8. Belk
5.9.Median Technologies
5.10. iCAD
5.11. JKL inspection
6. Corporate competitiveness analysis
6.1.Chapter overview
6.2. Assumptions and main parameters
6.3. Methodology
7. Patent analysis
7.1.Chapter overview
7.2. Scope and methodology
7.3. AI in Oncology: Patent Analysis
7.4. AI in Oncology: Patent Benchmark Analysis
8. Partnerships and collaboration
8.1.Chapter overview
8.2. Partnership model
8.3 AI in Oncology: Recent Partnerships and Collaborations
9. Funding and investment analysis
9.1.Chapter overview
9.2. Types of financing models
9.3. AI in Oncology: List of Funding and Investment Analysis
9.4.Investment Overview
9.5. conclusion
10. Blue Ocean Strategy: A strategic guide for startups to enter competitive markets
10.1.Chapter overview
10.2. Overview of Blue Ocean Strategy
10.2.1 Red Ocean
10.2.2 Blue Ocean
10.2.3 Difference between red ocean strategy and blue ocean strategy
10.2.4. AI in Oncology: Blue Ocean Strategy and Shifting Tools
10.3. Conclusion
11. Market size and opportunity analysis
11.1.Chapter Overview
11.2 Key assumptions and methodology
11.3. Global Artificial Intelligence in Oncology Market, 2022-2035
11.4. Artificial Intelligence in Oncology Market: Analysis by Cancer Type, 2022-2035
11.5. Artificial Intelligence in Oncology Market: Analysis by End User Type, 2022-2035
11.6. Artificial Intelligence in Oncology Market: Analysis by Key Regions, 2022-2035
12. Conclusion
13. Management Insights
13.1.Chapter overview
13.2. Enlytic
13.3. Nuclei
13.4. Mirada Medical
13.5. CancerCenter.AI
13.6.Visiofarm
14. Appendix 1: Tabular data
15. Appendix 2: List of companies and organizations
For more information on this report, please visit https://www.researchandmarkets.com/r/eevcaq.
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