1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
3.1. Market Snapshot
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
5.1. COVID-19 Landscape: Next-Generation AI in Life Science 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
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
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
8.1. Next-Generation AI in Life Science Market, by Application Area
8.1.1. Drug Discovery & Development
8.1.1.1. Market Revenue and Forecast
8.1.2. Clinical Diagnostics
8.1.2.1. Market Revenue and Forecast
8.1.3. Precision Medicine
8.1.3.1. Market Revenue and Forecast
8.1.4. Medical Imaging & Radiology
8.1.4.1. Market Revenue and Forecast
8.1.5. Healthcare Operations & Workflow Automation
8.1.5.1. Market Revenue and Forecast
8.1.6. Remote Monitoring & Digital Therapeutics
8.1.6.1. Market Revenue and Forecast
8.1.7. Omics Data Analytics
8.1.7.1. Market Revenue and Forecast
8.1.8. Other Emerging Use Cases
8.1.8.1. Market Revenue and Forecast
9.1. Next-Generation AI in Life Science Market, by Technology Type
9.1.1. Machine Learning (ML)
9.1.1.1. Market Revenue and Forecast
9.1.2. Deep Learning
9.1.2.1. Market Revenue and Forecast
9.1.3. Natural Language Processing (NLP)
9.1.3.1. Market Revenue and Forecast
9.1.4. Computer Vision
9.1.4.1. Market Revenue and Forecast
9.1.5. Generative AI
9.1.5.1. Market Revenue and Forecast
9.1.6. Knowledge Graphs & Ontology-Based AI
9.1.6.1. Market Revenue and Forecast
10.1. Next-Generation AI in Life Science Market, by End User
10.1.1. Pharmaceutical & Biotechnology Companies
10.1.1.1. Market Revenue and Forecast
10.1.2. Contract Research Organizations (CROs)
10.1.2.1. Market Revenue and Forecast
10.1.3. Academic & Research Institutes
10.1.3.1. Market Revenue and Forecast
10.1.4. Hospitals & Healthcare Providers
10.1.4.1. Market Revenue and Forecast
10.1.5. Diagnostics Laboratories
10.1.5.1. Market Revenue and Forecast
10.1.6. Medical Device Companies
10.1.6.1. Market Revenue and Forecast
10.1.7. Government & Regulatory Agencies
10.1.7.1. Market Revenue and Forecast
10.1.8. HealthTech & AI Startups
10.1.8.1. Market Revenue and Forecast
11.1. Next-Generation AI in Life Science Market, by Deployment Mode
11.1.1. On-Premise
11.1.1.1. Market Revenue and Forecast
11.1.2. Cloud-Based
11.1.2.1. Market Revenue and Forecast
11.1.3. Edge AI (for remote or embedded applications)
11.1.3.1. Market Revenue and Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Application Area
12.1.2. Market Revenue and Forecast, by Technology Type
12.1.3. Market Revenue and Forecast, by End User
12.1.4. Market Revenue and Forecast, by Deployment Mode
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Application Area
12.1.5.2. Market Revenue and Forecast, by Technology Type
12.1.5.3. Market Revenue and Forecast, by End User
12.1.5.4. Market Revenue and Forecast, by Deployment Mode
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Application Area
12.1.6.2. Market Revenue and Forecast, by Technology Type
12.1.6.3. Market Revenue and Forecast, by End User
12.1.6.4. Market Revenue and Forecast, by Deployment Mode
12.2. Europe
12.2.1. Market Revenue and Forecast, by Application Area
12.2.2. Market Revenue and Forecast, by Technology Type
12.2.3. Market Revenue and Forecast, by End User
12.2.4. Market Revenue and Forecast, by Deployment Mode
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Application Area
12.2.5.2. Market Revenue and Forecast, by Technology Type
12.2.5.3. Market Revenue and Forecast, by End User
12.2.5.4. Market Revenue and Forecast, by Deployment Mode
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Application Area
12.2.6.2. Market Revenue and Forecast, by Technology Type
12.2.6.3. Market Revenue and Forecast, by End User
12.2.6.4. Market Revenue and Forecast, by Deployment Mode
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Application Area
12.2.7.2. Market Revenue and Forecast, by Technology Type
12.2.7.3. Market Revenue and Forecast, by End User
12.2.7.4. Market Revenue and Forecast, by Deployment Mode
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Application Area
12.2.8.2. Market Revenue and Forecast, by Technology Type
12.2.8.3. Market Revenue and Forecast, by End User
12.2.8.4. Market Revenue and Forecast, by Deployment Mode
12.3. APAC
12.3.1. Market Revenue and Forecast, by Application Area
12.3.2. Market Revenue and Forecast, by Technology Type
12.3.3. Market Revenue and Forecast, by End User
12.3.4. Market Revenue and Forecast, by Deployment Mode
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Application Area
12.3.5.2. Market Revenue and Forecast, by Technology Type
12.3.5.3. Market Revenue and Forecast, by End User
12.3.5.4. Market Revenue and Forecast, by Deployment Mode
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Application Area
12.3.6.2. Market Revenue and Forecast, by Technology Type
12.3.6.3. Market Revenue and Forecast, by End User
12.3.6.4. Market Revenue and Forecast, by Deployment Mode
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Application Area
12.3.7.2. Market Revenue and Forecast, by Technology Type
12.3.7.3. Market Revenue and Forecast, by End User
12.3.7.4. Market Revenue and Forecast, by Deployment Mode
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Application Area
12.3.8.2. Market Revenue and Forecast, by Technology Type
12.3.8.3. Market Revenue and Forecast, by End User
12.3.8.4. Market Revenue and Forecast, by Deployment Mode
12.4. MEA
12.4.1. Market Revenue and Forecast, by Application Area
12.4.2. Market Revenue and Forecast, by Technology Type
12.4.3. Market Revenue and Forecast, by End User
12.4.4. Market Revenue and Forecast, by Deployment Mode
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Application Area
12.4.5.2. Market Revenue and Forecast, by Technology Type
12.4.5.3. Market Revenue and Forecast, by End User
12.4.5.4. Market Revenue and Forecast, by Deployment Mode
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Application Area
12.4.6.2. Market Revenue and Forecast, by Technology Type
12.4.6.3. Market Revenue and Forecast, by End User
12.4.6.4. Market Revenue and Forecast, by Deployment Mode
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Application Area
12.4.7.2. Market Revenue and Forecast, by Technology Type
12.4.7.3. Market Revenue and Forecast, by End User
12.4.7.4. Market Revenue and Forecast, by Deployment Mode
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Application Area
12.4.8.2. Market Revenue and Forecast, by Technology Type
12.4.8.3. Market Revenue and Forecast, by End User
12.4.8.4. Market Revenue and Forecast, by Deployment Mode
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Application Area
12.5.2. Market Revenue and Forecast, by Technology Type
12.5.3. Market Revenue and Forecast, by End User
12.5.4. Market Revenue and Forecast, by Deployment Mode
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Application Area
12.5.5.2. Market Revenue and Forecast, by Technology Type
12.5.5.3. Market Revenue and Forecast, by End User
12.5.5.4. Market Revenue and Forecast, by Deployment Mode
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Application Area
12.5.6.2. Market Revenue and Forecast, by Technology Type
12.5.6.3. Market Revenue and Forecast, by End User
12.5.6.4. Market Revenue and Forecast, by Deployment Mode
13.1. NVIDIA
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Google DeepMind
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Insilico Medicine
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Recursion Pharmaceuticals
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Exscientiaâ¯
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. BenevolentAIâ¯
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Owkinâ¯
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Atomwise
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. PathAI
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Valo Health
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
15.1. About Us
15.2. Glossary of Terms
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