1. PREFACE
1.1. Overview
1.2. Scope of the Report
1.3. Market Segmentation
1.4. Research Methodology
1.5. Key Questions Answered
1.6. Chapter Outlines
2. EXECUTIVE SUMMARY
2.1 Chapter Overview
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
4.2.1. Analysis by Year of Establishment
4.2.2. Analysis by Company Size
4.2.3. Analysis by Location of Headquarters (Region-wise)
4.2.4. Analysis by Location of Headquarters (Country-wise)
4.2.5. Analysis by Type of End-User
4.2.6. Analysis by Year of Establishment, Company size and Location of Headquarters
4.3. AI in Oncology: Market Landscape of Software Solutions
4.3.1. Analysis by Type of Service(s) Offered
4.3.2. Analysis by Type of AI Technology Used
4.3.3. Analysis by Type of Platform
4.3.4. Analysis by Type of Service(s) Offered and Type of End-User
4.3.5. Analysis by Type of Platform and Type of AI Technology Used
4.3.6. Analysis by Type of Service(s) Offered, Location of Headquarters and Type of AI Technology Used
5. COMPANY PROFILES
5.1. Chapter Overview
5.2. Roche Diagnostics
5.2.1. Company Overview
5.2.2. Financial Information
5.2.3. Service Portfolio
5.2.4. Recent Developments and Future Outlook
5.3. IBM Watson Health
5.3.1. Company Overview
5.3.2. Financial Information
5.3.3. Service Portfolio
5.3.4. Recent Developments and Future Outlook
5.4. CancerCenter.AI
5.4.1. Company Overview
5.4.2. Service Portfolio
5.4.3. Recent Development and Future Outlooks
5.5. GE Healthcare
5.5.1. Company Overview
5.5.2. Financial Information
5.5.3. Service Portfolio
5.5.4. Recent Development and Future Outlook
5.6. Concert AI
5.6.1. Company Overview
5.6.2. Service Portfolio
5.6.3. Recent Developments and Future Outlook
5.7. Path AI
5.7.1. Company Overview
5.7.2. Service portfolio
5.7.3. Recent Development and Future Outlook
5.8. Berg
5.8.1. Company Overview
5.8.2. Service Portfolio
5.8.3. Recent Development and Future Outlook
5.9. Median Technologies
5.9.1. Company Overview
5.9.2. Financial Information
5.9.3. Service Portfolio
5.9.4. Recent Development and Future Outlook
5.10. iCAD
5.10.1. Company Overview
5.10.2. Financial Information
5.10.3. Service Portfolio
5.10.4. Recent Developments and Future Outlook
5.11. JLK Inspection
5.11.1. Company Overview
5.11.2. Service Portfolio
5.11.3. Recent Development and Future Outlook
6. COMPANY COMPETITIVENESS ANALYSIS
6.1. Chapter Overview
6.2. Assumptions and Key Parameters
6.3. Methodology
6.3.1. Company Competitiveness: Small Companies in North America
6.3.2. Company Competitiveness: Small Companies in Europe
6.3.3. Company Competitiveness: Small Companies in Asia Pacific
6.3.4. Company Competitiveness: Mid-sized companies in North America
6.3.5. Company Competitiveness: Mid-sized companies in Europe
6.3.6. Company Competitiveness: Mid-sized companies in Asia Pacific
6.3.7. Company Competitiveness: Large companies in North America and Europe
7. PATENT ANALYSIS
7.1. Chapter Overview
7.2. Scope and Methodology
7.3. AI in Oncology: Patent Analysis
7.3.1. Analysis by Type of Patent
7.3.2. Analysis by Patent Publication Year
7.3.3. Analysis by Year-wise Trend of Filed Patent Applications and Granted Patents
7.3.4. Analysis by Jurisdiction
7.3.5. Analysis by Type of Industry
7.3.6. Analysis by Patent Age
7.3.7. Analysis by Legal Status
7.3.8. Analysis by CPC Symbols
7.3.9. Most Active Players: Analysis by Number of Patents
7.3.10. Analysis by Key Inventors
7.4. AI in Oncology: Patent Benchmarking Analysis
7.4.1. Analysis by Patent Characteristics
7.4.2. AI in Oncology: Patent Valuation Analysis
8. PARTNERSHIPS AND COLLABORATIONS
8.1. Chapter Overview
8.2. Partnership Models
8.3 AI in Oncology: Recent Partnerships and Collaborations
8.3.1. Analysis by Year of Partnership
8.3.2. Analysis by Type of Partnership
8.3.3. Analysis by Year and Type of Partnership
8.3.4. Analysis by Company Size and Type of Partnership
8.3.5. Most Active Partners: Analysis by Number of Partnerships
8.3.6. Most Active Players: Analysis by Type of Partnership
8.3.7. Analysis by Type of Cancer
8.3.8. Analysis by Type of Partner
8.3.9. Analysis by Year and Type of Partner
8.3.10. Intercontinental and Intracontinental Agreements
8.3.11. Local and International Agreements
8.3.12. Country-Wise Distribution
8.3.13. Analysis by Region
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
9.3.1. Analysis by Year and Number of Funding Instances
9.3.2. Analysis by Year and Amount Invested
9.3.3 Analysis by Type of Funding and Number of Instances
9.3.4. Analysis by Year, Type of Funding and Amount Invested
9.3.5. Analysis by Type of Funding and Amount Invested
9.3.6. Analysis by Area of Application
9.3.7. Analysis by Focus Area
9.3.8. Analysis by Type of Cancer Indication
9.3.9. Analysis by Geography
9.3.10. Most Active Players by Number of Instances
9.3.11. Most Active Players by Amount Invested
9.3.12. Analysis by Type of Investors
9.3.13. Analysis by Lead Investors
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
10.2.4.1. Value Innovation
10.2.4.2. Strategy Canvas
10.2.4.3. Four Action Framework
10.2.4.4. Eliminate-Raise-Reduce-Create (ERRC) Grid
10.2.4.5. Six Path Framework
10.2.4.6. Pioneer-Migrator-Settler (PMS) Map
10.2.4.7. Three Tiers of Noncustomers
10.2.4.8. Sequence of Blue Ocean Strategy
10.2.4.9. Buyer Utility Map
10.2.4.10. The Price Corridor of the Mass
10.2.4.11. Four Hurdles to Strategy Execution
10.2.4.12. Tipping Point Leadership
10.2.4.13. Fair Process
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
11.4.1. Artificial Intelligence in Oncology Market for Breast Cancer, 2022-2035
11.4.2. Artificial Intelligence in Oncology Market for Lung Cancer, 2022-2035
11.4.3. Artificial Intelligence in Oncology Market for Prostate Cancer, 2022-2035
11.4.4. Artificial Intelligence in Oncology Market for Colorectal Cancer, 2022-2035
11.4.5. Artificial Intelligence in Oncology Market for Brain Tumor, 2022-2035
11.4.6. Artificial Intelligence in Oncology Market for Solid Malignancies, 2022-2035
11.4.7. Artificial Intelligence in Oncology Market for Other Cancers, 2022-2035
11.5. Artificial Intelligence in Oncology Market: Analysis by Type of End-User, 2022-2035
11.5.1. Artificial Intelligence in Oncology Market for Hospitals, 2022-2035
11.5.2. Artificial Intelligence in Oncology Market for Pharmaceutical Companies, 2022-2035
11.5.3. Artificial Intelligence in Oncology Market for Research Institutes, 2022-2035
11.5.4. Artificial Intelligence in Oncology Market for Other End-Users, 2022-2035
11.6. Artificial Intelligence in Oncology Market: Analysis by Key Geographical Regions, 2022-2035
11.6.1. Artificial Intelligence in Oncology Market for North America, 2022-2035
11.6.2. Artificial Intelligence in Oncology Market for Europe, 2022-2035
11.6.3. Artificial Intelligence in Oncology Market for Asia Pacific, 2022-2035
11.6.4. Artificial Intelligence in Oncology Market for Rest of the World, 2022-2035
12. CONCLUSION
12.1. Chapter Overview
13. EXECUTIVE INSIGHTS
13.1. Chapter Overview
13.2. Enlitic
13.2.1. Company Snapshot
13.2.2. Interview Transcript: Vice President, Marketing and Communications
13.3. Nucleai
13.3.1. Company Snapshot
13.3.2. Interview Transcript: Chief Executive Officer
13.4. Mirada Medical
13.4.1. Company Snapshot
13.4.2. Interview Transcript: Chief Executive Officer
13.5. CancerCenter.AI
13.5.1. Company Snapshot
13.5.2. Interview Transcript: Chief Executive Officer
13.6. Visiopharm
13.6.1 Company Snapshot
13.6.2 Interview Transcript: Chief Executive Officer
14. APPENDIX 1: TABULATED DATA15. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONSLIST OF FIGURES
Figure 2.1 Executive Summary: Market Landscape
Figure 2.2 Executive Summary: Patent Analysis
Figure 2.3 Executive Summary: Partnerships and Collaboration Analysis
Figure 2.4 Executive Summary: Funding and Investment Analysis
Figure 2.5 Executive Summary: Market Forecast and Opportunity Analysis
Figure 3.1 Historical Evolution of AI
Figure 3.2 Relationship between AI, ML and DL
Figure 3.3 Type of Artificial Intelligence
Figure 3.4 Artificial Intelligence Software Solutions: Distribution by Oncology-related Field
Figure 3.5 Artificial Intelligence Software Solutions: Distribution by Various Types of Cancers Detected
Figure 4.1 AI in Oncology Software providers: Distribution by Year of Establishment
Figure 4.2 AI in Oncology Software providers: Distribution by Company Size
Figure 4.3 AI in Oncology Software providers: Distribution by Location of Headquarters (Region-wise)
Figure 4.4 AI in Oncology Software providers: Distribution by Location of Headquarters (Country-wise)
Figure 4.5 AI in Oncology Software providers: Distribution by Type of End-User
Figure 4.6 AI in Oncology Software providers: Distribution by Year of Establishment, Company Size and Location of Headquarters
Figure 4.7 AI in Oncology- based Software Solutions: Distribution by Type of Service(s) Offered
Figure 4.8 AI in Oncology- based Software Solutions: Distribution by Type of AI Technology Used
Figure 4.9 AI in Oncology- based Software Solutions: Distribution by Type of Platform
Figure 4.10 AI in Oncology- based Software Solutions: Distribution by Type of Service(s) Offered and Type of end-user
Figure 4.11 AI in Oncology Software Solutions: Distribution by Type of Platform and Type of AI Technology Used
Figure 4.12 AI in Oncology-based Software Solutions: Distribution by Type of Service(s) Offered, Location of Headquarters and Type of AI Technology Used
Figure 5.1 Roche Diagnostics: Annual Revenues, 2017-2021 (CHF Billion)
Figure 5.2 Roche Diagnostics: Service Portfolio
Figure 5.3 IBM Watson Health: Annual Revenues, 2017-2021 (USD Billion)
Figure 5.4 IBM Watson Health: Service Portfolio
Figure 5.5 CancerCenter.ai: Service Portfolio
Figure 5.6 GE Healthcare: Annual Revenues, 2017-2021 (USD Billion)
Figure 5.7 PathAI: Service Portfolio
Figure 5.8 BERG: Service Portfolio
Figure 5.9 Median Technologies: Annual Revenues, 2017-2021 (EUR Million)
Figure 5.10 iCAD: Annual Revenues, 2017-2021 (USD Million)
Figure 5.11 iCAD: Distribution of Revenues by Business Units, FY2021 (USD Million)
Figure 5.12 JLK Inspection: Service Portfolio
Figure 6.1 Company Competitiveness Analysis: Small Companies in North America
Figure 6.2 Company Competitiveness Analysis: Small Companies in Europe
Figure 6.3 Company Competitiveness Analysis: Small Companies in Asia Pacific
Figure 6.4 Company Competitiveness Analysis: Mid-sized companies in North America
Figure 6.5 Company Competitiveness Analysis: Mid-sized companies in Europe
Figure 6.6 Company Competitiveness Analysis: Mid-sized companies in Asia Pacific
Figure 6.7 Company Competitiveness Analysis: Large Companies in North America and Europe
Figure 7.1 Patent Analysis: Distribution by Type of Patents
Figure 7.2 Patent Analysis: Cumulative Distribution by Publication Year
Figure 7.3 Patent Analysis: Year-wise Distribution of Filed Patent Applications and Granted Patents
Figure 7.4 Patent Analysis: Distribution by Jurisdiction
Figure 7.5 Patent Analysis: Cumulative Distribution by Type of Industry
Figure 7.6 Patent Analysis: Distribution by Patent Age
Figure 7.7 Patent Analysis: Distribution by Legal Status
Figure 7.8 Patent Analysis: Distribution by CPC Symbols
Figure 7.9 Leading Industry Players: Distribution by Number of Patents
Figure 7.10 Leading Non-Industry Players: Distribution by Number of Patents
Figure 7.11 Patent Analysis: Distribution by Key Inventors
Figure 7.12 Patent Analysis (Top 10 CPC Symbols): Benchmarking by Leading Industry Players
Figure 7.13 AI in Oncology: Patent Valuation Analysis
Figure 8.1 Partnerships and Collaborations: Distribution by Year of Partnership, 2017- 2022
Figure 8.2 Partnerships and Collaborations: Distribution by Type of Partnership
Figure 8.3 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Figure 8.4 Partnerships and Collaborations: Distribution by Company Size and Type of Partnership
Figure 8.5 Most Active Partners: Distribution by Number of Partnerships
Figure 8.6 Most Active Players: Distribution by Type of Partnership
Figure 8.7 Partnerships and Collaborations: Distribution by Type of Cancer
Figure 8.8 Partnerships and Collaborations: Distribution by Type of Partner
Figure 8.9 Partnerships and Collaborations: Distribution by Year and Type of Partner
Figure 8.10 Partnerships and Collaborations: Intercontinental and Intracontinental Agreement
Figure 8.11 Partnerships and Collaborations: Local and International Agreement
Figure 8.12 Partnerships and Collaborations: Distribution by Country
Figure 8.13 Partnerships and Collaborations: Distribution by Region
Figure 9.1 Funding and Investment Analysis: Cumulative Year-wise Distribution by Number of Instances, 2017-2022
Figure 9.2 Funding and Investment Analysis: Cumulative Year-wise Distribution by Amount Invested, 2017-2022 (USD Billion)
Figure 9.3 Funding and Investment Analysis: Distribution of Instances by Type of Funding
Figure 9.4 Funding and Investment Analysis: Distribution of Amount Invested by Year and Type of Funding, 2017-2022 (USD Million)
Figure 9.5 Funding and Investment Analysis: Distribution by Amount Invested and Type of Funding (USD Billion)
Figure 9.6 Funding and Investment Analysis: Distribution of Funding Instances by Area of Application
Figure 9.7 Funding and Investment Analysis: Distribution of Instances by Focus Area
Figure 9.8 Funding and Investment Analysis: Distribution of Instances by Type of Cancer
Figure 9.9 Funding and Investment Analysis: Distribution by Geography
Figure 9.10 Most Active Players: Distribution by Number of Instances
Figure 9.11 Most Active Players: Distribution by Amount Invested (USD Million)
Figure 9.12 Funding and Investment Analysis: Distribution by Type of Investors
Figure 9.13 Most Active Investors: Distribution by Number of Instances
Figure 9.14 Funding and Investment Analysis: Summary of Amount Invested, 2017-2022 (USD Billion)
Figure 9.15 Funding and Investment Analysis: Concluding Remarks
Figure 10.1 Red Ocean Strategy vs Blue Ocean Strategy
Figure 10.2 Blue Ocean Strategy: Strategy Canvas
Figure 10.3 Blue Ocean Strategy: Eliminate-Raise-Reduce-Create (ERRC) Grid
Figure 10.4 Blue Ocean Strategy: Pioneer-Migrator-Settler (PMS) Map
Figure 10.5 Blue Ocean Strategy: Three Tiers of Noncustomers
Figure 10.6 Blue Ocean Strategy: Sequence of Blue Ocean Strategy
Figure 10.7 Blue Ocean Strategy: Buyer Utility Map
Figure 10.8 Blue Ocean Strategy: The Price Corridor of the Mass
Figure 11.1 Global Artificial Intelligence in Oncology Market, 2022-2035 (USD Billion)
Figure 11.2 Artificial Intelligence in Oncology Market: Distribution by Type of Cancer, 2022-2035 (USD Billion)
Figure 11.3 Artificial Intelligence in Oncology Market for Breast Cancer, 2022-2035 (USD Billion)
Figure 11.4 Artificial Intelligence in Oncology Market for Lung Cancer, 2022-2035 (USD Billion)
Figure 11.5 Artificial Intelligence in Oncology Market for Prostate Cancer, 2022-2035 (USD Billion)
Figure 11.6 Artificial Intelligence in Oncology Market for Colorectal Cancer, 2022-2035 (USD Billion)
Figure 11.7 Artificial Intelligence in Oncology Market for Brain Tumor, 2022-2035 (USD Billion)
Figure 11.8 Artificial Intelligence in Oncology Market for Solid Malignancies, 2022-2035 (USD Billion)
Figure 11.9 Artificial Intelligence in Oncology Market for Other Cancers, 2022-2035 (USD Billion)
Figure 11.10 Artificial Intelligence in Oncology Market: Distribution by Type of End-User, 2022-2035 (USD Billion)
Figure 11.11 Artificial Intelligence in Oncology Market for Hospitals, 2022-2035 (USD Billion)
Figure 11.12 Artificial Intelligence in Oncology Market for Pharmaceutical Companies, 2022-2035 (USD Billion)
Figure 11.13 Artificial Intelligence in Oncology Market for Research Institutes, 2022-2035 (USD Billion)
Figure 11.14 Artificial Intelligence in Oncology Market for Other End-Users, 2022-2035 (USD Billion)
Figure 11.15 Artificial Intelligence in Oncology Market: Distribution by Geography, 2022-2035 (USD Billion)
Figure 11.16 Artificial Intelligence in Oncology Market for North America, 2022-2035 (USD Billion)
Figure 11.17 Artificial Intelligence in Oncology Market for Europe, 2022-2035 (USD Billion)
Figure 11.18 Artificial Intelligence in Oncology Market for Asia Pacific, 2022-2035 (USD Billion)
Figure 11.19 Artificial Intelligence in Oncology Market for Rest of the World, 2022-2035 (USD Billion)
Figure 12.1 Concluding Remarks: AI in Oncology Market Landscape
Figure 12.2 Concluding Remarks: Patent Analysis
Figure 12.3 Concluding Remarks: Partnerships and Collaborations Analysis
Figure 12.4 Concluding Remarks: Funding and Investment Analysis
Figure 12.5 Concluding Remarks: Market Forecast and Opportunity Analysis
LIST OF TABLES
Table 4.1 AI in Oncology: List of Software providers
Table 4.2 AI in Oncology Software providers: Information on Type of Service(s) Offered
Table 4.3 AI in Oncology Software providers: Information on the Type of AI Technology Used
Table 4.4 AI in Oncology Software providers: Information on Type of Platform
Table 5.1 Roche Diagnostics: Key Highlights
Table 5.2 IBM Watson Health: Key Highlights
Table 5.3 CancerCenter.ai: Key Highlights
Table 5.4 CancerCenter.ai: Recent Developments and Future Outlook
Table 5.5 GE Healthcare: Key Highlights
Table 5.6 GE Healthcare: Recent Developments and Future Outlook
Table 5.7 Concert AI: Key Highlights
Table 5.8 Concert AI: Recent Developments and Future Outlook
Table 5.9 Path AI: Key Highlights
Table 5.10 PathAI: Recent Developments and Future Outlook
Table 5.11 BERG: Key Highlights
Table 5.12 BERG: Recent Developments and Future Outlook
Table 5.13 Median Technologies: Key Highlights
Table 5.14 Median Technologies: Recent Developments and Future Outlook
Table 5.15 iCAD: Key Highlights
Table 5.16 iCAD: Recent Developments and Future Outlook
Table 5.17 JLK Inspection: Key Highlights
Table 7.1 Patent Analysis: CPC Symbols
Table 7.2 Patent Analysis: Most Popular CPC Symbols
Table 7.3 Patent Analysis: List of Top CPC Symbols
Table 7.4 Patent Analysis: Categorization based on Weighted Valuation Scores
Table 7.5 Patent Analysis: List of Relatively High Value Patents
Table 8.1 Partnerships and Collaborations: List of Partnerships and Collaborations, 2017-2022
Table 9.1 AI in Oncology: List of Funding and Investments, 2017-2022
Table 9.2 Funding and Investment Analysis: Summary of Investments (Number of Instances)
Table 9.3 Funding and Investment Analysis: Summary of Investments (Total Amount Invested)
Table 9.4 Funding and Investment Analysis: Summary of Venture Capital Funding
Table 14.1 AI in Oncology Software providers: Distribution by Year of Establishment
Table 14.2 AI in Oncology Software providers: Distribution by Company Size
Table 14.3 AI in Oncology Software providers: Distribution by Location of Headquarters (Region-wise)
Table 14.4 AI in Oncology Software providers: Distribution by Location of Headquarters (Country-wise)
Table 14.5 AI in Oncology Software providers: Distribution by Type of End-User
Table 14.6 AI in Oncology Software providers: Distribution by Year of Establishment, Company Size and Location of Headquarters
Table 14.7 AI in Oncology- based Software Solutions: Distribution by Type of Service(s) Offered
Table 14.8 AI in Oncology- based Software Solutions: Distribution by Type of AI Technology Used
Table 14.9 AI in Oncology- based Software Solutions: Distribution by Type of Platform
Table 14.10 AI in Oncology- based Software Solutions: Distribution by Type of Service(s) Offered and Type of End User
Table 14.11 AI in Oncology-based Software Solutions: Distribution by Type of Platform and Type of AI Technology Used
Table 14.12 Roche Diagnostics: Annual Revenues (CHF Billion)
Table 14.13 IBM Watson Health: Annual Revenues (USD Billion)
Table 14.14 GE Healthcare: Annual Revenues (USD Billion)
Table 14.15 Median Technologies: Annual Revenues (EUR Million)
Table 14.16 iCAD: Annual Revenues (USD Million)
Table 14.17 Patent Analysis: Distribution by Type of Patents
Table 14.18 Patent Analysis: Cumulative Distribution by Publication Year
Table 14.19 Patent Analysis: Year-Wise Distribution of Filed Patent Applications and Granted Patents
Table 14.20 Patent Analysis: Distribution by Jurisdiction
Table 14.21 Patent Analysis: Cumulative Distribution by Type of Industry
Table 14.22 Patent Analysis: Distribution by Patent Age
Table 14.23 Patent Analysis: Distribution by Legal Status
Table 14.24 Leading Industry Players: Distribution by Number of Patents
Table 14.25 Leading Non-Industry Players: Distribution by Number of Patents
Table 14.26 Patent Analysis: Distribution by Key Inventors
Table 14.27 AI in Oncology: Patent Valuation Analysis
Table 14.28 Partnerships and Collaborations: Distribution by Year of Partnership, 2017- 2022
Table 14.29 Partnerships and Collaborations: Distribution by Type of Partnership
Table 14.30 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Table 14.31 Partnerships and Collaborations: Distribution by Company Size and Type of Partnership
Table 14.32 Most Active Partners: Distribution by Type of Partnership
Table 14.33 Partnerships and Collaborations: Distribution by Type of Cancer
Table 14.34 Partnerships and Collaborations: Distribution by Type of Partner
Table 14.35 Partnerships and Collaborations: Distribution by Year and Type of Partner
Table 14.36 Partnerships and Collaborations: Intercontinental and Intracontinental Agreement
Table 14.37 Partnerships and Collaborations: Local and International Agreement
Table 14.38 Partnerships and Collaborations: Distribution by Country
Table 14.39 Partnerships and Collaborations: Distribution by Region
Table 14.40 Most Active Players: Distribution by number of Partnerships
Table 14.41 Funding and Investment Analysis: Cumulative Year-wise Distribution by Number of Instances, 2017-2022
Table 14.42 Funding and Investment Analysis: Cumulative Year-wise Distribution by Amount Invested, 2017-2022 (USD Billion)
Table 14.43 Funding and Investment Analysis: Distribution of Instances by Type of Funding
Table 14.44 Funding and Investment Analysis: Distribution of Amount Invested and Type of Funding (USD Million)
Table 14.45 Most Active Players: Distribution by Number of Instances
Table 14.46 Most Active Players: Distribution by Amount Invested (USD Million)
Table 14.47 Funding and Investment Analysis: Distribution of Funding Instances by Area of Application
Table 14.48 Funding and Investment Analysis: Distribution of Instances by Focus Area
Table 14.49 Funding and Investment Analysis: Distribution by Geography
Table 14.50 Funding and Investment Analysis: Distribution of Instances by Type of Cancer
Table 14.51 Most Active Investors: Distribution by Number of Instances
Table 14.52 Funding and Investment Analysis: Distribution by Type of Lead Investors
Table 14.53 Funding and Investment Analysis: Summary of Amount Invested, 2017-2022 (USD Million)
Table 14.54 Global Artificial Intelligence in Oncology Market 2022-2035, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.55 Artificial Intelligence in Oncology Market: Distribution by Type of Cancer, 2022-2035
Table 14.56 Artificial Intelligence in Oncology Market for Breast Cancer, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.57 Artificial Intelligence in Oncology Market for Lung Cancer, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.58 Artificial Intelligence in Oncology Market for Prostate Cancer, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.59 Artificial Intelligence in Oncology Market for Colorectal Cancer, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.60 Artificial Intelligence in Oncology Market for Brain Tumor, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.61 Artificial Intelligence in Oncology Market for Solid Malignancies, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.62 Artificial Intelligence in Oncology Market for Other Cancers, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.63 Artificial Intelligence in Oncology Market: Distribution by Type of End-Users, 2022-2035
Table 14.64 Artificial Intelligence in Oncology Market for Hospitals, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.65 Artificial Intelligence in Oncology Market for Pharmaceutical Companies, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.66 Artificial Intelligence in Oncology Market for Research Institutes, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.67 Artificial Intelligence in Oncology Market for Other End-Users, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.68 Artificial Intelligence in Oncology Market: Distribution by Key Geographical Regions, 2022-2035
Table 14.69 Artificial Intelligence in Oncology Market for North America, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.70 Artificial Intelligence in Oncology Market for Europe, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.71 Artificial Intelligence in Oncology Market for Asia Pacific, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)
Table 14.72 Artificial Intelligence in Oncology Market for Rest of the World, Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Billion)