1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key benefits for the stakeholders
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Process
3. EXECUTIVE SUMMARY
3.1. Key Findings
3.2. Analyst View
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter’s Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. The Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. AI IN CLINICAL SETTINGS MARKET BY TECHNOLOGY
5.1. Introduction
5.2. Machine Learning
5.3. Natural Language Processing
5.4. Computer Vision
5.5. Robotics
6. AI IN CLINICAL SETTINGS MARKET BY END-USER
6.1. Introduction
6.2. Hospitals and Clinics
6.3. Pharmaceutical and Biotechnology Companies
6.4. Medical Device Companies
6.5. Research Institutions
7. AI IN CLINICAL SETTINGS MARKET BY GEOGRAPHY
7.1. Global Overview
7.2. North America
7.2.1. United States
7.2.2. Canada
7.2.3. Mexico
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Rest of South America
7.4. Europe
7.4.1. United Kingdom
7.4.2. Germany
7.4.3. France
7.4.4. Italy
7.4.5. Spain
7.4.6. Rest of Europe
7.5. Middle East and Africa
7.5.1. Saudi Arabia
7.5.2. United Arab Emirates
7.5.3. Rest of the Middle East and Africa
7.6. Asia-Pacific
7.6.1. China
7.6.2. India
7.6.3. Japan
7.6.4. South Korea
7.6.5. Taiwan
7.6.6. Thailand
7.6.7. Indonesia
7.6.8. Rest of Asia-Pacific
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. IQVIA
9.2. AiCure
9.3. Google Health
9.4. DeepScribe
9.5. Siemens Healthineers
9.6. Nuance Communications
9.7. Care.ai
9.8. Qure AI
9.9. NVIDIA
9.10. Arm