Artificial Intelligence (AI) in Healthcare Market

1. Executive Summary
1.1. Global Market Snapshot
1.2. Key Success Factors
1.3. Strategic Analysis and Recommendations
2. Market Overview
2.1. Market Taxonomy
2.2. Market Definitions
3. Research Methodology
3.1. Preliminary Investigation & Research Design
3.2. Secondary Research & Primary Research
3.3. Data Analysis & Econometric Modelling
3.4. Expert Data Validation
4. Key Emerging Trends Analysis
4.1. Supply-Side Trends
4.2. Demand-Side Trends
5. Global Artificial Intelligence (AI) in Healthcare Market Value (US$ Mn) and Volume (Tons) Analysis
5.1. Global Market Value (US$ Mn) Analysis, 2017 – 2032
5.2. Incremental $ Opportunity Index, 2022-2032
5.3. Global Market Volume (Tons) Analysis, 2017 – 2032
6. Global Artificial Intelligence (AI) in Healthcare Market Pricing Analysis
6.1. Regional Level Pricing Analysis and Forecast
6.1.1. Manufacturers Level Pricing
6.1.2. Distributor Level Pricing
6.2. Global Pricing Analysis Benchmark
6.3. Cost Breakdown Analysis
7. Cross-Sectional Analysis
7.1. Cross Analysis of Application W.R.T. Product Type
8. Supply Vs. Demand Analysis
8.1. Regional Supply Vs. Demand Gap Assessment
8.2. Top Producing Countries Analysis
9. Market Background
9.1. Macroeconomic Factors
9.2. Forecast Factors
9.3. Market Dynamics
9.3.1. Driver
9.3.2. Restraint
9.3.3. Opportunity
9.4. Supply Chain Analysis
9.4.1. List Raw Material Suppliers
9.4.2. List of Manufacturers
9.4.3. List of Distributors
9.4.4. List of End-Users
9.4.5. End-Users Consumption Analysis
9.4.6. Average Profitability Margin Analysis
9.5. Covid-19 Impact Assessment
9.5.1. Economy/Cluster Projections
9.5.2. Covid-19 Economic Assessment
9.5.3. Impact on Target Market
9.5.4. Recovery Scenario
9.6. Regulatory Framework
9.6.1. Regulations of Key Countries
9.6.2. Potential Impact of Regulations
9.7. Porter’s Five Forces Analysis
9.8. Technology Landscape
10. Global Artificial Intelligence (AI) in Healthcare Market 2017 – 2032 By Technology
10.1. Introduction
10.2. Key Market Trends
10.3. Historical and Current Market (2017-2021) and Future Market Analysis (2022-2032) By Technology [Value (US$ Mn) and Volume (Tons) Analysis]
10.3.1. Machine Learning
10.3.2. Natural Language Processing (NLP)
10.3.3. Computer Vision
10.3.4. Expert Systems
10.3.5. Robotics
10.3.6. Others
10.4. Market Attractiveness Analysis by Technology
11. Global Artificial Intelligence (AI) in Healthcare Market 2017 – 2032 by Application
11.1. Introduction
11.2. Historical and Current Market (2017-2021) and Future Market Analysis (2022-2032) By Application [Value (US$ Mn) and Volume (Tons) Analysis]
11.2.1. Medical Imaging and Diagnosis
11.2.2. Drug Discovery and Development
11.2.3. Patient Monitoring and Care
11.2.4. Electronic Health Records (EHR)
11.2.5. Virtual Assistants and Chatbots
11.2.6. Healthcare Research and Insights
11.2.7. Others
11.3. Market Attractiveness Analysis by Application
12. Global Artificial Intelligence (AI) in Healthcare Market 2017 – 2032 by End User
12.1. Introduction
12.2. Historical and Current Market (2017-2021) and Future Market Analysis (2022-2032) By End User [Value (US$ Mn) and Volume (Tons) Analysis]
12.2.1. Hospitals and Clinics
12.2.2. Pharmaceutical Companies
12.2.3. Research Institutes
12.2.4. Healthcare Payers
12.2.5. Others
12.3. Market Attractiveness Analysis by End User
13. Global Artificial Intelligence (AI) in Healthcare Market Historical Analysis 2017 – 2021 and Forecast 2017 – 2032 by Region
13.1. Introduction
13.2. Key Market Trends
13.3. Historical and Current Market (2017-2021) and Future Market Analysis (2022-2032) By Region [Value (US$ Mn) and Volume (Tons) Analysis]
13.3.1. North America
13.3.2. Latin America
13.3.3. Europe
13.3.4. Asia-Pacific
13.3.5. Middle East
13.3.6. Africa
13.4. Market Attractiveness Analysis by Region
14. North America Artificial Intelligence (AI) in Healthcare Market Historical Analysis 2017 – 2021 and Forecast 2022-2033
14.1. Introduction
14.2. Key Market Trends
14.3. Historical and Current Market Size (2017-2021) and Future Market Size Analysis (2022-2032) [Value (US$ Mn) and Volume (Tons) Analysis]
14.3.1. By Country
14.3.1.1. U.S.
14.3.1.2. Canada
14.3.2. By Technology
14.3.3. By Application
14.3.4. By End User
14.4. Market Attractiveness Analysis
14.4.1. By Country
14.4.2. By Technology
14.4.3. By Application
14.4.4. By End User
15. Latin America Artificial Intelligence (AI) in Healthcare Market Historical Analysis 2017 – 2021 and Forecast 2017 – 2032
15.1. Introduction
15.2. Key Market Trends
15.3. Historical and Current Market Size (2017-2021) and Future Market Size Analysis (2022-2032) [Value (US$ Mn) and Volume (Tons) Analysis]
15.3.1. By Country
15.3.1.1. Brazil
15.3.1.2. Mexico
15.3.1.3. Rest of Latin America
15.3.2. By Technology
15.3.3. By Application
15.3.4. By End User
15.4. Market Attractiveness Analysis
15.4.1. By Country
15.4.2. By Technology
15.4.3. By Application
15.4.4. By End User
16. Europe Artificial Intelligence (AI) in Healthcare Market Historical Analysis 2017 – 2021 and Forecast 2017 – 2032
16.1. Introduction
16.2. Key Market Trends
16.3. Historical and Current Market Size (2017-2021) and Future Market Size Analysis (2022-2032) [Value (US$ Mn) and Volume (Tons) Analysis]
16.3.1. By Country
16.3.1.1. Germany
16.3.1.2. Italy
16.3.1.3. France
16.3.1.4. UK
16.3.1.5. Spain
16.3.1.6. Netherlands
16.3.1.7. Norway
16.3.1.8. Russia
16.3.1.9. Rest of Europe
16.3.2. By Technology
16.3.3. By Application
16.3.4. By End User
16.4. Market Attractiveness Analysis
16.4.1. By Country
16.4.2. By Technology
16.4.3. By Application
16.4.4. By End User
17. Asia-Pacific Artificial Intelligence (AI) in Healthcare Market Historical Analysis 2017 – 2021 and Forecast 2017 – 2032
17.1. Introduction
17.2. Key Market Trends
17.3. Historical and Current Market Size (2017-2021) and Future Market Size Analysis (2022-2032) [Value (US$ Mn) and Volume (Tons) Analysis]
17.3.1. By Country
17.3.1.1. China
17.3.1.2. Japan
17.3.1.3. South Korea
17.3.1.4. India
17.3.1.5. Indonesia
17.3.1.6. Thailand
17.3.1.7. Vietnam
17.3.1.8. Australia & New Zealand
17.3.1.9. Rest of Asia-Pacific
17.3.2. By Technology
17.3.3. By Application
17.3.4. By End User
17.4. Market Attractiveness Analysis
17.4.1. By Country
17.4.2. By Technology
17.4.3. By Application
17.4.4. By End User
18. Middle East Artificial Intelligence (AI) in Healthcare Market Historical Analysis 2017 – 2021 and Forecast 2017 – 2032
18.1. Introduction
18.2. Key Market Trends
18.3. Pricing Analysis
18.4. Historical and Current Market Size (2017-2021) and Future Market Size Analysis (2022-2032) [Value (US$ Mn) and Volume (Tons) Analysis]
18.4.1. By Country
18.4.1.1. Saudi Arabia
18.4.1.2. Turkey
18.4.1.3. U.A.E.
18.4.1.4. Rest of the Middle East
18.4.2. By Technology
18.4.3. By Application
18.4.4. By End User
18.5. Market Attractiveness Analysis
18.5.1. By Country
18.5.2. By Technology
18.5.3. By Application
18.5.4. By End User
19. Africa Artificial Intelligence (AI) in Healthcare Market Historical Analysis 2017 – 2021 and Forecast 2017 – 2032
19.1. Introduction
19.2. Key Market Trends
19.3. Pricing Analysis
19.4. Historical and Current Market Size (2017-2021) and Future Market Size Analysis (2022-2032) [Value (US$ Mn) and Volume (Tons) Analysis]
19.4.1. By Country
19.4.1.1. South Africa
19.4.1.2. Nigeria
19.4.1.3. Egypt
19.4.1.4. Rest of Africa
19.4.2. By Technology
19.4.3. By Application
19.4.4. By End User
19.5. Market Attractiveness Analysis
19.5.1. By Country
19.5.2. By Technology
19.5.3. By Application
19.5.4. By End User
20. Competition Analysis
20.1. Tier Structure Breakdown
20.2. Market Share Analysis
20.3. Production Capacity Analysis
20.4. Company Footprint Analysis
20.4.1. Product Footprint of Players
20.4.2. Regional Footprint of Players
20.4.3. Channel Footprint of Players
20.5. Brand Preference Analysis
20.6. Competition Dashboard
21. Company Profiles
21.1. IBM Watson Health.
21.1.1. Company Overview
21.1.2. Product & Financial Portfolio
21.1.3. Manufacturing Facilities
21.1.4. Recent Developments
21.1.5. SWOT Analysis
21.1.6. Strategy Overview
21.2. Google Health
21.3. Microsoft Healthcare
21.4. Amazon Web Services (AWS) Healthcare
21.5. Siemens Healthineers
21.6. GE Healthcare
21.7. Intel Corporation (Intel AI in Healthcare)
21.8. Philips Healthcare
21.9. Medtronic
21.10. Johnson & Johnson
21.11. Cerner Corporation
21.12. DeepMind Technologies (Google subsidiary)
21.13. NVIDIA Corporation (NVIDIA AI in Healthcare)
21.14. Roche Diagnostics
21.15. Tempus Labs
21.16. Flatiron Health
21.17. PathAI
21.18. Tempus
21.19. Arterys
21.20. Zebra Medical Vision
21.21. Butterfly Network
21.22. Aidoc
21.23. Prognos
21.24. Healx
21.25. Atomwise
21.26. PathAI
22. Assumptions and Acronyms