Artificial Intelligence in Diagnostics Market

Table of Content

SECTION I: REPORT OVERVIEW

1. PREFACE
1.1. Introduction
1.2. Market Share Insights
1.3. Key Market Insights
1.4. Report Coverage
1.5. Key Questions Answered
1.6. Chapter Outlines

2. RESEARCH METHODOLOGY
2.1. Chapter Overview
2.2. Research Assumptions

2.3. Database Building
2.3.1. Data Collection
2.3.2. Data Validation
2.3.3. Data Analysis

2.4. Project Methodology
2.4.1. Secondary Research
2.4.1.1. Annual Reports
2.4.1.2. Academic Research Papers
2.4.1.3. Company Websites
2.4.1.4. Investor Presentations
2.4.1.5. Regulatory Filings
2.4.1.6. White Papers
2.4.1.7. Industry Publications
2.4.1.8. Conferences and Seminars
2.4.1.9. Government Portals
2.4.1.10. Media and Press Releases
2.4.1.11. Newsletters
2.4.1.12. Industry Databases
2.4.1.13. Roots Proprietary Databases
2.4.1.14. Paid Databases and Sources
2.4.1.15. Social Media Portals
2.4.1.16. Other Secondary Sources

2.4.2. Primary Research
2.4.2.1. Introduction

2.4.2.2. Types
2.4.2.2.1. Qualitative
2.4.2.2.2. Quantitative

2.4.2.3. Advantages

2.4.2.4. Techniques
2.4.2.4.1. Interviews
2.4.2.4.2. Surveys
2.4.2.4.3. Focus Groups
2.4.2.4.4. Observational Research
2.4.2.4.5. Social Media Interactions

2.4.2.5. Stakeholders
2.4.2.5.1. Company Executives (CXOs)
2.4.2.5.2. Board of Directors
2.4.2.5.3. Company Presidents and Vice Presidents
2.4.2.5.4. Key Opinion Leaders
2.4.2.5.5. Research and Development Heads
2.4.2.5.6. Technical Experts
2.4.2.5.7. Subject Matter Experts
2.4.2.5.8. Scientists
2.4.2.5.9. Doctors and Other Healthcare Providers

2.4.2.6. Ethics and Integrity
2.4.2.6.1. Research Ethics
2.4.2.6.2. Data Integrity

2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS
3.1. Forecast Methodology
3.1.1. Top-Down Approach
3.1.2. Bottom-Up Approach
3.1.3. Hybrid Approach

3.2. Market Assessment Framework
3.2.1. Total Addressable Market (TAM)
3.2.2. Serviceable Addressable Market (SAM)
3.2.3. Serviceable Obtainable Market (SOM)
3.2.4. Currently Acquired Market (CAM)

3.3. Forecasting Tools and Techniques
3.3.1. Qualitative Forecasting
3.3.2. Correlation
3.3.3. Regression
3.3.4. Time Series Analysis
3.3.5. Extrapolation
3.3.6. Convergence
3.3.7. Forecast Error Analysis
3.3.8. Data Visualization
3.3.9. Scenario Planning
3.3.10. Sensitivity Analysis

3.4. Key Considerations
3.4.1. Demographics
3.4.2. Market Access
3.4.3. Reimbursement Scenarios
3.4.4. Industry Consolidation

3.5. Robust Quality Control
3.6. Key Market Segmentations
3.7. Limitations

4. MACRO-ECONOMIC INDICATORS
4.1. Chapter Overview
4.2. Market Dynamics
4.2.1. Time Period
4.2.1.1. Historical Trends
4.2.1.2. Current and Forecasted Estimates

4.2.2. Currency Coverage
4.2.2.1. Overview of Major Currencies Affecting the Market
4.2.2.2. Impact of Currency Fluctuations on the Industry

4.2.3. Foreign Exchange Impact
4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
4.2.3.2. Strategies for Mitigating Foreign Exchange Risk

4.2.4. Recession
4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market

4.2.5. Inflation
4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
4.2.5.2. Potential Impact of Inflation on the Market Evolution

4.2.6. Interest Rates
4.2.6.1. Overview of Interest Rates and Their Impact on the Market
4.2.6.2. Strategies for Managing Interest Rate Risk

4.2.7. Commodity Flow Analysis
4.2.7.1. Type of Commodity
4.2.7.2. Origins and Destinations
4.2.7.3. Values and Weights
4.2.7.4. Modes of Transportation

4.2.8. Global Trade Dynamics
4.2.8.1. Import Scenario
4.2.8.2. Export Scenario

4.2.9. War Impact Analysis
4.2.9.1. Russian-Ukraine War
4.2.9.2. Israel-Hamas War

4.2.10. COVID Impact / Related Factors
4.2.10.1. Global Economic Impact
4.2.10.2. Industry-specific Impact
4.2.10.3. Government Response and Stimulus Measures
4.2.10.4. Future Outlook and Adaptation Strategies

4.2.11. Other Indicators
4.2.11.1. Fiscal Policy
4.2.11.2. Consumer Spending
4.2.11.3. Gross Domestic Product (GDP)
4.2.11.4. Employment
4.2.11.5. Taxes
4.2.11.6. R&D Innovation
4.2.11.7. Stock Market Performance
4.2.11.8. Supply Chain
4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION
6.1. Chapter Overview
6.2. Overview of AI in Diagnostics
6.2.1. Key Characteristics of AI in Diagnostics
6.2.2. Key Applications of the AI in Diagnostics
6.2.3. Challenges Associated with AI in Diagnostics

6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE
9.1. Chapter Overview
9.2. AI in Diagnostics: Overall Market Landscape
9.2.1. Analysis by Year of Establishment
9.2.2. Analysis by Company Size
9.2.3. Analysis by Location of Headquarters

9.2.4. AI in Diagnostics Market: Overall Market Landscape
9.2.4.1. Analysis by Component Type
9.2.4.2. Analysis by Diagnosis Type
9.2.4.3. Analysis by Modality Type
9.2.4.4. Analysis by Technology Type
9.2.4.5. Analysis by End User

10. PORTER'S FIVE FORECES ANALYSIS

11. COMPANY COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE AI IN DIAGNOSTICS MARKET
12.1. AI in Diagnostics: Market Landscape of Startups
12.1.1. Analysis by Year of Establishment
12.1.2. Analysis by Company Size
12.1.3. Analysis by Company Size and Year of Establishment
12.1.4. Analysis by Location of Headquarters
12.1.5. Analysis by Company Size and Location of Headquarters
12.1.6. Analysis by Ownership Structure

12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES
13.1. Chapter Overview
13.2. Aidoc (Israel)
13.2.1. Company Overview
13.2.2. Company Mission
13.2.3. Company Footprint
13.2.4. Management Team
13.2.5. Contact Details
13.2.6. Financial Performance
13.2.7. Operating Business Segments
13.2.8. Service / Product Portfolio (project specific)
13.2.9. MOAT Analysis
13.2.10. Recent Developments and Future Outlook

* similar detail is presented for other below mentioned companies based on information in the public domain 

13.3. AliveCor (US)
13.4. GE Healthcare (US)
13.5. Imagen Technologies (US)
13.6. IDx Technologies (Japan)
13.7. Microsoft (US)
13.8. Neural Analytics (US)
13.9. Riverain Technologies (US)
13.10. Siemens Healthcare (Germany)
13.11. Vuno (South Korea)
13.12. Zebra Medical Vision (Israel)

SECTION V: MARKET TRENDS

14. PARTNERSHIPS AND COLLABORATIONS
14.1. Chapter Overview
14.2. Partnership Models

14.3. AI in Diagnostics: Partnerships and Collaborations
14.3.1. Analysis by Year of Partnership
14.3.2. Analysis by Type of Partnership
14.3.3. Analysis by Year and Type of Partnership
14.3.4. Analysis by Type of Partner
14.3.5. Analysis by Location of Headquarters of Partner
14.3.6. Analysis by Type of Partnership and Location of Headquarters of Partner
14.3.7. Most Active Players: Analysis by Number of Partnerships
14.3.8. Regional Analysis

SECTION VI: MARKET FORECAST AND OPPORTUNITY ANALYSIS

15. GLOBAL AI IN DIAGNOSTICS MARKET
15.1. Chapter Overview
15.2. Key Assumptions and Methodology
15.3. Trends Disruption Impacting Market
15.4. Demand Side Trends
15.5. Supply Side Trends
15.6. Global AI in Diagnostics Market, Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

15.7. Multivariate Scenario Analysis
15.7.1. Conservative Scenario
15.7.2. Optimistic Scenario

15.8. Investment Feasibility Index
15.9. Key Market Segmentations

16. MARKET OPPORTUNITIES BASED ON TYPE OF COMPONENT
16.1. Chapter Overview
16.2. Key Assumptions and Methodology
16.3. Revenue Shift Analysis
16.4. Market Movement Analysis
16.5. Penetration-Growth (P-G) Matrix
16.6. AI in Diagnostics Market for Software: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
16.7. AI in Diagnostics Market for Hardware: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
16.8. AI in Diagnostics Market for Services: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

16.9. Data Triangulation and Validation
16.9.1. Secondary Sources
16.9.2. Primary Sources
16.9.3. Statistical Modeling

17. MARKET OPPORTUNITIES BASED ON TYPE OF DIAGNOSIS
17.1. Chapter Overview
17.2. Key Assumptions and Methodology
17.3. Revenue Shift Analysis
17.4. Market Movement Analysis
17.5. Penetration-Growth (P-G) Matrix
17.6. AI in Diagnostics Market for Cardiology: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

17.7. AI in Diagnostics Market for Oncology: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
17.7.1. AI in Diagnostics Market for Radiology: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
17.7.2. AI in Diagnostics Market for Chest and Lungs: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
17.7.3. AI in Diagnostics Market for Neurology: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
17.7.4. AI in Diagnostics Market for Others: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

17.8. Data Triangulation and Validation
17.8.1. Secondary Sources
17.8.2. Primary Sources
17.8.3. Statistical Modeling

18. MARKET OPPORTUNITIES BASED ON TYPE OF MODALITY
18.1. Chapter Overview
18.2. Key Assumptions and Methodology
18.3. Revenue Shift Analysis
18.4. Market Movement Analysis
18.5. Penetration-Growth (P-G) Matrix

18.6. AI in Diagnostics Market for In Vitro Diagnostics: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.6.1. AI in Diagnostics Market for Molecular Diagnostics: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.6.2. AI in Diagnostics Market for Immunoassays & Clinical Chemistry: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.6.3. AI in Diagnostics Market for Point-of-Care Tests: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

18.7. AI in Diagnostics Market for Diagnostic Imaging: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.7.1. AI in Diagnostics Market for MRI: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.7.2. AI in Diagnostics Market for CT Scan: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.7.3. AI in Diagnostics Market for Ultrasound: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.7.4. AI in Diagnostics Market for X-Ray: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.7.5. AI in Diagnostics Market for PET / SPECT & Others: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
18.8. AI in Diagnostics Market for Other Modalities: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

18.9. Data Triangulation and Validation
18.9.1. Secondary Sources
18.9.2. Primary Sources
18.9.3. Statistical Modeling

19. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY
19.1. Chapter Overview
19.2. Key Assumptions and Methodology
19.3. Revenue Shift Analysis
19.4. Market Movement Analysis
19.5. Penetration-Growth (P-G) Matrix
19.6. AI in Diagnostics Market for Machine Learning: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
19.7. AI in Diagnostics Market for Deep Learning: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
19.8. AI in Diagnostics Market for Natural Language Processing: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
19.9. AI in Diagnostics Market for Computer Vision: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
19.10. AI in Diagnostics Market for Predictive Analytics: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

19.11. Data Triangulation and Validation
19.11.1. Secondary Sources
19.11.2. Primary Sources
19.11.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON END USER
20.1. Chapter Overview
20.2. Key Assumptions and Methodology
20.3. Revenue Shift Analysis
20.4. Market Movement Analysis
20.5. Penetration-Growth (P-G) Matrix
20.6. AI in Diagnostics Market for Hospitals: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
20.7. AI in Diagnostics Market for Diagnostic Laboratories: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
20.8. AI in Diagnostics Market for Ambulatory Surgery Centers: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
20.9. AI in Diagnostics Market for Other End Users: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

20.10. Data Triangulation and Validation
20.10.1. Secondary Sources
20.10.2. Primary Sources
20.10.3. Statistical Modeling

21. MARKET OPPORTUNITIES FOR AI IN DIAGNOSTICS IN NORTH AMERICA
21.1. Chapter Overview
21.2. Key Assumptions and Methodology
21.3. Revenue Shift Analysis
21.4. Market Movement Analysis
21.5. Penetration-Growth (P-G) Matrix

21.6. AI in Diagnostics Market in North America: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
21.6.1. AI in Diagnostics Market in the US: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
21.6.2. AI in Diagnostics Market in Canada: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
21.6.3. AI in Diagnostics Market in Mexico: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR AI IN DIAGNOSTICS IN EUROPE
22.1. Chapter Overview
22.2. Key Assumptions and Methodology
22.3. Revenue Shift Analysis
22.4. Market Movement Analysis
22.5. Penetration-Growth (P-G) Matrix

22.6. AI in Diagnostics Market in Europe: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
22.6.1. AI in Diagnostics Market in Germany: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
22.6.2. AI in Diagnostics Market in France: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
22.6.3. AI in Diagnostics Market in Italy: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
22.6.4. AI in Diagnostics Market in Spain: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
22.6.5. AI in Diagnostics Market in The UK: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
22.6.6. AI in Diagnostics Market in Rest of the Europe: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

22.7. Data Triangulation and Validation

23. MARKET OPPORTUNITIES FOR AI IN DIAGNOSTICS IN ASIA-PACIFIC
23.1. Chapter Overview
23.2. Key Assumptions and Methodology
23.3. Revenue Shift Analysis
23.4. Market Movement Analysis
23.5. Penetration-Growth (P-G) Matrix

23.6. AI in Diagnostics Market in Asia-Pacific: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
23.6.1. AI in Diagnostics Market in China: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
23.6.2. AI in Diagnostics Market in India: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
23.6.3. AI in Diagnostics Market in Japan: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
23.6.4. AI in Diagnostics Market in South Korea: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
23.6.5. AI in Diagnostics Market in New Zealand: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
23.6.6. AI in Diagnostics Market in Rest of the Asia-Pacific: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

23.7. Data Triangulation and Validation

24. MARKET OPPORTUNITIES FOR AI IN DIAGNOSTICS IN MIDDLE EAST & AFRICA (MEA)
24.1. Chapter Overview
24.2. Key Assumptions and Methodology
24.3. Revenue Shift Analysis
24.4. Market Movement Analysis
24.5. Penetration-Growth (P-G) Matrix

24.6. AI in Diagnostics Market in Middle East and Africa (MEA): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
24.6.1. AI in Diagnostics Market in Egypt: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
24.6.2. AI in Diagnostics Market in Iran: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
24.6.3. AI in Diagnostics Market in Iraq: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
24.6.4. AI in Diagnostics Market in Israel: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
24.6.5. AI in Diagnostics Market in Saudi Arabia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
24.6.6. AI in Diagnostics Market in South Africa: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
24.6.7. AI in Diagnostics Market in United Araba Emirates: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR AI IN DIAGNOSTICS IN LATIN AMERICA
25.1. Chapter Overview
25.2. Key Assumptions and Methodology
25.3. Revenue Shift Analysis
25.4. Market Movement Analysis
25.5. Penetration-Growth (P-G) Matrix

25.6. AI in Diagnostics Market in Latin America: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
25.6.1. AI in Diagnostics Market in Argentina: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
25.6.2. AI in Diagnostics Market in Brazil: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)

26. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

27. KEY WINNING STRATEGIES

28. VALUE CHAIN ANALYSIS

29. ROOTS STRATEGIC RECOMMENDATIONS

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

30. INSIGHTS FROM PRIMARY RESEARCH

31. REPORT CONCLUSION

SECTION IX: APPENDIX

32. TABULATED DATA

33. LIST OF COMPANIES AND ORGANIZATIONS

34. CUSTOMIZATION OPPORTUNITIES

35. ROOTS SUBSCRIPTION SERVICES

36. AUTHOR DETAILS