Artificial Intelligence (AI) in Healthcare Market (By Component: Software, Hardware, Services; By Application: Virtual Assistants, Diagnosis, Robot Assisted Surgery, Clinical Trials, Wearable, Others; By Technology: Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision; By End User) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022 – 2030

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) in Healthcare Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Healthcare Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) in Healthcare Market, By Component

8.1. Artificial Intelligence (AI) in Healthcare Market, by Component Type, 2022-2030

8.1.1. Software

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Hardware

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence (AI) in Healthcare Market, By Application

9.1. Artificial Intelligence (AI) in Healthcare Market, by Application, 2022-2030

9.1.1. Virtual Assistants

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Diagnosis

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Robot Assisted Surgery

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Clinical Trials

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Wearables

9.1.5.1. Market Revenue and Forecast (2017-2030)

9.1.6. Administrative Workflow Assistants

9.1.6.1. Market Revenue and Forecast (2017-2030)

9.1.7. Cybersecurity

9.1.7.1. Market Revenue and Forecast (2017-2030)

9.1.8. Dosage Error Reduction

9.1.8.1. Market Revenue and Forecast (2017-2030)

9.1.9. Fraud Detection

9.1.9.1. Market Revenue and Forecast (2017-2030)

9.1.10. Connected Machines

9.1.10.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence (AI) in Healthcare Market, By Technology Type 

10.1. Artificial Intelligence (AI) in Healthcare Market, by Technology Type, 2022-2030

10.1.1. Machine Learning

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Natural Language Processing

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Context-aware Computing

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Computer Vision

10.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence (AI) in Healthcare Market, By End User Type 

11.1. Artificial Intelligence (AI) in Healthcare Market, by End User Type, 2022-2030

11.1.1. Hospital & Healthcare Providers

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Patients

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. Pharmaceuticals & Biotechnology Companies

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. Healthcare Payers

Chapter 12. Global Artificial Intelligence (AI) in Healthcare Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Component (2017-2030)

12.1.2. Market Revenue and Forecast, by Application (2017-2030)

12.1.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.1.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.1.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.1.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.1.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.1.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.1.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.1.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.7.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.7.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.7.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.8.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.8.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.8.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.7.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.7.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.7.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.8.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.8.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.8.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.7.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.7.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.7.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.8.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.8.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.8.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.5.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.5.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.5.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.5.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

Chapter 13. Company Profiles

13.1. Intel

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Koninklijke Philips

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Microsoft

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. IBM

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Siemens Healthineers

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Nvidia

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Google

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. General Electric Company

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Medtronic

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Micron Technology

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

13.11. Amazon Web Services

13.11.1. Company Overview

13.11.2. Product Offerings

13.11.3. Financial Performance

13.11.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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