The AI in Life Science Analytics Market is projected to grow from USD 2.46 billion in 2025 to USD 6.28 billion by 2034, at a CAGR of 10.96%. Growth is driven by big data, precision medicine, and AI-led breakthroughs in R&D and drug discovery. North America leads, with Asia-Pacific expanding fastest.
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: AI in Life Science Analytics 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. AI in Life Science Analytics Market, by Component
8.1.1. Software
8.1.1.1. Market Revenue and Forecast
8.1.2. Hardware
8.1.2.1. Market Revenue and Forecast
8.1.3. Services
8.1.3.1. Market Revenue and Forecast
9.1. AI in Life Science Analytics Market, by End-user
9.1.1. Medical Devices
9.1.1.1. Market Revenue and Forecast
9.1.2. Pharmaceutical
9.1.2.1. Market Revenue and Forecast
9.1.3. Biotechnology
9.1.3.1. Market Revenue and Forecast
9.1.4. Others
9.1.4.1. Market Revenue and Forecast
10.1. AI in Life Science Analytics Market, by Application
10.1.1. Research and Development
10.1.1.1. Market Revenue and Forecast
10.1.2. Sales and Marketing support
10.1.2.1. Market Revenue and Forecast
10.1.3. Supply chain analytics
10.1.3.1. Market Revenue and Forecast
10.1.4. Others
10.1.4.1. Market Revenue and Forecast
11.1. AI in Life Science Analytics Market, by Deployment
11.1.1. On-premise
11.1.1.1. Market Revenue and Forecast
11.1.2. Cloud
11.1.2.1. Market Revenue and Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Component
12.1.2. Market Revenue and Forecast, by End-user
12.1.3. Market Revenue and Forecast, by Application
12.1.4. Market Revenue and Forecast, by Deployment
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component
12.1.5.2. Market Revenue and Forecast, by End-user
12.1.5.3. Market Revenue and Forecast, by Application
12.1.5.4. Market Revenue and Forecast, by Deployment
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Component
12.1.6.2. Market Revenue and Forecast, by End-user
12.1.6.3. Market Revenue and Forecast, by Application
12.1.6.4. Market Revenue and Forecast, by Deployment
12.2. Europe
12.2.1. Market Revenue and Forecast, by Component
12.2.2. Market Revenue and Forecast, by End-user
12.2.3. Market Revenue and Forecast, by Application
12.2.4. Market Revenue and Forecast, by Deployment
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Component
12.2.5.2. Market Revenue and Forecast, by End-user
12.2.5.3. Market Revenue and Forecast, by Application
12.2.5.4. Market Revenue and Forecast, by Deployment
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Component
12.2.6.2. Market Revenue and Forecast, by End-user
12.2.6.3. Market Revenue and Forecast, by Application
12.2.6.4. Market Revenue and Forecast, by Deployment
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Component
12.2.7.2. Market Revenue and Forecast, by End-user
12.2.7.3. Market Revenue and Forecast, by Application
12.2.7.4. Market Revenue and Forecast, by Deployment
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Component
12.2.8.2. Market Revenue and Forecast, by End-user
12.2.8.3. Market Revenue and Forecast, by Application
12.2.8.4. Market Revenue and Forecast, by Deployment
12.3. APAC
12.3.1. Market Revenue and Forecast, by Component
12.3.2. Market Revenue and Forecast, by End-user
12.3.3. Market Revenue and Forecast, by Application
12.3.4. Market Revenue and Forecast, by Deployment
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Component
12.3.5.2. Market Revenue and Forecast, by End-user
12.3.5.3. Market Revenue and Forecast, by Application
12.3.5.4. Market Revenue and Forecast, by Deployment
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Component
12.3.6.2. Market Revenue and Forecast, by End-user
12.3.6.3. Market Revenue and Forecast, by Application
12.3.6.4. Market Revenue and Forecast, by Deployment
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Component
12.3.7.2. Market Revenue and Forecast, by End-user
12.3.7.3. Market Revenue and Forecast, by Application
12.3.7.4. Market Revenue and Forecast, by Deployment
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Component
12.3.8.2. Market Revenue and Forecast, by End-user
12.3.8.3. Market Revenue and Forecast, by Application
12.3.8.4. Market Revenue and Forecast, by Deployment
12.4. MEA
12.4.1. Market Revenue and Forecast, by Component
12.4.2. Market Revenue and Forecast, by End-user
12.4.3. Market Revenue and Forecast, by Application
12.4.4. Market Revenue and Forecast, by Deployment
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Component
12.4.5.2. Market Revenue and Forecast, by End-user
12.4.5.3. Market Revenue and Forecast, by Application
12.4.5.4. Market Revenue and Forecast, by Deployment
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Component
12.4.6.2. Market Revenue and Forecast, by End-user
12.4.6.3. Market Revenue and Forecast, by Application
12.4.6.4. Market Revenue and Forecast, by Deployment
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Component
12.4.7.2. Market Revenue and Forecast, by End-user
12.4.7.3. Market Revenue and Forecast, by Application
12.4.7.4. Market Revenue and Forecast, by Deployment
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Component
12.4.8.2. Market Revenue and Forecast, by End-user
12.4.8.3. Market Revenue and Forecast, by Application
12.4.8.4. Market Revenue and Forecast, by Deployment
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Component
12.5.2. Market Revenue and Forecast, by End-user
12.5.3. Market Revenue and Forecast, by Application
12.5.4. Market Revenue and Forecast, by Deployment
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Component
12.5.5.2. Market Revenue and Forecast, by End-user
12.5.5.3. Market Revenue and Forecast, by Application
12.5.5.4. Market Revenue and Forecast, by Deployment
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Component
12.5.6.2. Market Revenue and Forecast, by End-user
12.5.6.3. Market Revenue and Forecast, by Application
12.5.6.4. Market Revenue and Forecast, by Deployment
13.1. Indegene
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Lexalytics
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Databricks
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. SAS Institute Inc.
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Sisense
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. IQVIA
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. IBM
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Sorcero
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. 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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