The "AI in Oncology Market Industry Trends and Global Forecasts to 2035, by Type of Cancer, Type of End-Users and Key Geographical 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, representing a higher CAGR of 14.1% during the forecast period.

AI has been immensely utilized for data collection, evaluation, and real-time interpretation in the pharmaceutical industry. In fact, the integration of AI-based software solutions enables clinicians to detect cancer at an early stage and develop personalized therapies to treat a wide range of oncological indications. Additionally, AI-powered technology in oncology significantly reduces the cost of cancer testing and treatment. Driven by the significance offered by AI technology, experts believe that the use of AI in oncology market has enormous potential to generate revenue in the future.

Due to the rise in cancer risk across the globe, there has been a significant rise in the demand for advanced cancer diagnostic and treatment methods to treat patients. It is a widely known fact that cancer is the leading cause of deaths worldwide. Further, International Agency for Cancer Research suggests that the number of cancer-associated deaths is likely to increase by 72%, by 2030. Therefore, drivers such as technological innovation and rising cancer incidence position the AI in oncology market for transformative growth. However, overcoming challenges such as regulatory hurdles and data privacy would remain critical in realizing its full potential in the coming years.

Artificial Intelligence in Oncology Market: Key Insights

The report delves into the current state of artificial intelligence in oncology market and identifies potential growth opportunities within the industry.

Some key findings from the report include:

• The current market landscape features the presence of over 70 players engaged in the development of AI-based software solutions for the oncology sector.
• Over 50% of the players use their machine learning powered solutions for diagnostic purposes in hospitals; geographically, the software providers are well distributed.
• In pursuit of gaining a competitive edge, industry stakeholders are actively upgrading their existing capabilities and enhancing their AI-focused service portfolios.
• The growing interest in this market is prevalent from the recent rise in partnership activity; ~50% of the deals were inked to enable utilization and integration of proprietary AI-based technology solutions
• Foreseeing lucrative returns, many public and private investors have made investments worth ~USD 6 billion; 70% of the funding initiatives were led by venture capitalists.
• Over 2,770 patents have been granted / filed by academic and industry stakeholders in the last five years, exclusively for the development of AI-based software solutions for oncology.
• The market is expected to witness a healthy growth of 14.1% in the coming decade; the opportunity is likely to be well distributed across various target indications, types of molecules and different regions.

AI in Oncology Market: Research Coverage

• Market Sizing and Opportunity Analysis: The report features a thorough analysis of the global AI in oncology market, in terms of the key market segments, including type of antibody manufactured, type of cancer, type of end user and geographical regions.
• Market Landscape: An in-depth assessment of the companies involved in AI in oncology market, based on several relevant parameters, such as year of establishment, company size, location of headquarters, type of end-user, type of services offered, type of AI technology used, and type of platform.
• Company Competitiveness Analysis: A comprehensive competitive analysis of AI in oncology solution providers, examining factors, such as company strength and portfolio strength.
• Company Profiles: Detailed profiles of key service providers engaged in the AI in oncology market, focused on overview of the company, financial information, service portfolio, and recent developments and an informed future outlook.
• Patent Analysis: An in-depth analysis of patents filed / granted till date in the AI in oncology market domain, based on various relevant parameters, such as patent publication year, type of patent, patent jurisdiction, CPC symbols, type of applicant, jurisdiction, leading players, benchmarking analysis and patent valuation.
• Partnerships and Analysis: An insightful analysis of the deals inked by stakeholders in the AI in oncology market, based on several parameters, such as year of partnership, type of partnership, type of cancer, most active players and geographical distribution of partnership activity.
• Funding and Investment Analysis: An in-depth analysis of the fundings raised by AI in drug discovery companies, based on relevant parameters, such as year of funding, amount invested by year, type of funding, amount invested by company size, type of investor, amount invested by type of investor, most active players, most active investors and geographical analysis.
• Blue Ocean Analysis: A strategic guide for start-ups to enter into a highly competitive market, assessing players based on various frameworks, such as value innovation, strategy canvas, four action framework, eliminate-raise-reduce-create (ERRC) grid, six path framework, pioneer-migrator-settler (PMS) map, three tiers of noncustomers, sequence of blue ocean strategy and buyer utility map.

Key Players in the AI in Oncology Market Profiled in the Report Include

• Berg (A 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 engaged in this market?
• Which are the leading companies in this market?
• What factors are likely to influence the evolution of this market?
• What is the current and future market size?
• What is the CAGR of this market?
• How is the current and future market opportunity likely to be distributed across key market segments?

Additional Benefits

• Complimentary PPT Insights Packs
• Complimentary Excel Data Packs for all Analytical Modules in the Report
• 15% Free Content Customization
• Detailed Report Walkthrough Session with Research Team
• Free Updated report if the report is 6-12 months old or older

Key Topics Covered:

1. PREFACE

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. Key Challenges Associated with Use of AI in Healthcare Sector

3.6. Future Perspectives

4. MARKET OVERVIEW

4.1. Chapter Overview

4.2. AI in Oncology: Market Landscape of Software providers

5. COMPANY PROFILES

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. Berg

5.9. Median Technologies

5.10. iCAD

5.11. JLK Inspection

6. COMPANY COMPETITIVENESS ANALYSIS

6.1. Chapter Overview

6.2. Assumptions and Key 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 Benchmarking Analysis

8. PARTNERSHIPS AND COLLABORATIONS

8.1. Chapter Overview

8.2. Partnership Models

8.3 AI in Oncology: Recent Partnerships and Collaborations

9. FUNDING AND INVESTMENT ANALYSIS

9.1. Chapter Overview

9.2. Types of Funding Models

9.3. AI in Oncology: List of Funding and Investment Analysis

9.4. Summary of Investments

9.5. Concluding Remarks

10. BLUE OCEAN STRATEGY: A STRATEGIC GUIDE FOR START-UPS TO ENTER INTO HIGHLY COMPETITIVE MARKET

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 Shift Tools

10.3. Conclusion

11. MARKET SIZING 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 Type of Cancer, 2022- 2035

11.5. Artificial Intelligence in Oncology Market: Analysis by Type of End-User, 2022-2035

11.6. Artificial Intelligence in Oncology Market: Analysis by Key Geographical Regions, 2022-2035

12. CONCLUSION

13. EXECUTIVE INSIGHTS

13.1. Chapter Overview

13.2. Enlitic

13.3. Nucleai

13.4. Mirada Medical

13.5. CancerCenter.AI

13.6. Visiopharm

14. APPENDIX 1: TABULATED DATA

15. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS

For more information about this report visit https://www.researchandmarkets.com/r/eevcaq

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