Report

Global AI In Medical Imaging Market Size study & Forecast, by Technology (Deep Learning Natural Language Processing, Others), by Modality, by Application, by End-User, and Regional Analysis, 2022-2029

  • Publish Date: Feb,2023
  • Report ID: 3-2-1486
  • Page : 200
  • Report Type : PDF (Email)
Table of Contents
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Million)
1.2.1. AI In Medical Imaging Market, by Region, 2019-2029 (USD Million)
1.2.2. AI In Medical Imaging Market, by Technology, 2019-2029 (USD Million)
1.2.3. AI In Medical Imaging Market, by Modality, 2019-2029 (USD Million)
1.2.4. AI In Medical Imaging Market, by Application, 2019-2029 (USD Million)
1.2.5. AI In Medical Imaging Market, by End-User, 2019-2029 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global AI In Medical Imaging Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global AI In Medical Imaging Market Dynamics
3.1. AI In Medical Imaging Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Increasing incidence of chronic diseases
3.1.1.2. Rising adoption of Artificial intelligence (AI) in healthcare industry
3.1.2. Market Challenges
3.1.2.1. High cost and reluctance of adoption of these systems
3.1.2.2. Limited interoperability for AI solutions
3.1.3. Market Opportunities
3.1.3.1. Growing R&D investment
3.1.3.2. Introduction of technologically advancement products
Chapter 4. Global AI In Medical Imaging Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global AI In Medical Imaging Market, by Technology
6.1. Market Snapshot
6.2. Global AI In Medical Imaging Market by Technology, Performance - Potential Analysis
6.3. Global AI In Medical Imaging Market Estimates & Forecasts by Technology 2019-2029 (USD Million)
6.4. AI In Medical Imaging Market, Sub Segment Analysis
6.4.1. Deep Learning
6.4.2. Natural Language Processing (NLP)
6.4.3. Others
Chapter 7. Global AI In Medical Imaging Market, by Modality
7.1. Market Snapshot
7.2. Global AI In Medical Imaging Market by Modality, Performance - Potential Analysis
7.3. Global AI In Medical Imaging Market Estimates & Forecasts by Modality 2019-2029 (USD Million)
7.4. AI In Medical Imaging Market, Sub Segment Analysis
7.4.1. CT Scan
7.4.2. MRI
7.4.3. X-rays
7.4.4. Ultrasound
7.4.5. Nuclear Imaging
Chapter 8. Global AI In Medical Imaging Market, by Application
8.1. Market Snapshot
8.2. Global AI In Medical Imaging Market by Application, Performance - Potential Analysis
8.3. Global AI In Medical Imaging Market Estimates & Forecasts by Application 2019-2029 (USD Million)
8.4. AI In Medical Imaging Market, Sub Segment Analysis
8.4.1. Neurology
8.4.2. Respiratory and Pulmonary
8.4.3. Cardiology
8.4.4. Breast Screening
8.4.5. Orthopedics
8.4.6. Others
Chapter 9. Global AI In Medical Imaging Market, by End-User
9.1. Market Snapshot
9.2. Global AI In Medical Imaging Market by End-User, Performance - Potential Analysis
9.3. Global AI In Medical Imaging Market Estimates & Forecasts by End-User 2019-2029 (USD Million)
9.4. AI In Medical Imaging Market, Sub Segment Analysis
9.4.1. Hospitals
9.4.2. Diagnostic Imaging Centers
9.4.3. Others
Chapter 10. Global AI In Medical Imaging Market, Regional Analysis
10.1. AI In Medical Imaging Market, Regional Market Snapshot
10.2. North America AI In Medical Imaging Market
10.2.1. U.S. AI In Medical Imaging Market
10.2.1.1. Technology breakdown estimates & forecasts, 2019-2029
10.2.1.2. Modality breakdown estimates & forecasts, 2019-2029
10.2.1.3. Application breakdown estimates & forecasts, 2019-2029
10.2.1.4. End-User breakdown estimates & forecasts, 2019-2029
10.2.2. Canada AI In Medical Imaging Market
10.3. Europe AI In Medical Imaging Market Snapshot
10.3.1. U.K. AI In Medical Imaging Market
10.3.2. Germany AI In Medical Imaging Market
10.3.3. France AI In Medical Imaging Market
10.3.4. Spain AI In Medical Imaging Market
10.3.5. Italy AI In Medical Imaging Market
10.3.6. Rest of Europe AI In Medical Imaging Market
10.4. Asia-Pacific AI In Medical Imaging Market Snapshot
10.4.1. China AI In Medical Imaging Market
10.4.2. India AI In Medical Imaging Market
10.4.3. Japan AI In Medical Imaging Market
10.4.4. Australia AI In Medical Imaging Market
10.4.5. South Korea AI In Medical Imaging Market
10.4.6. Rest of Asia Pacific AI In Medical Imaging Market
10.5. Latin America AI In Medical Imaging Market Snapshot
10.5.1. Brazil AI In Medical Imaging Market
10.5.2. Mexico AI In Medical Imaging Market
10.5.3. Rest of Latin America AI In Medical Imaging Market
10.6. Rest of The World AI In Medical Imaging Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Siemens Healthineers AG
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. General Electric Company
11.2.3. Koninklije Philips N.V.
11.2.4. IBM Corporation
11.2.5. Agfa-Gevaert Group/Agfa Health Care
11.2.6. Arterys
11.2.7. AZmed
11.2.8. Caption Health
11.2.9. Gleamer
11.2.10. Butterfly Network Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption