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 Analysis
4.3.3. Downstream Buyer Analysis
5.1. COVID-19 Landscape: Synthetic Control Arms 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. Synthetic Control Arms Market, by Data Source
8.1.1. Real-World Data (RWD)
8.1.1.1. Market Revenue and Forecast
8.1.2. Electronic Health Records (EHRs)
8.1.2.1. Market Revenue and Forecast
8.1.3. Claims and Billing Data
8.1.3.1. Market Revenue and Forecast
8.1.4. Disease Registries
8.1.4.1. Market Revenue and Forecast
8.1.5. Patient-Reported Outcomes (PROs)
8.1.5.1. Market Revenue and Forecast
8.1.6. Historical Clinical Trial Data
8.1.6.1. Market Revenue and Forecast
8.1.7. Hybrid (RWD + Historical Trial Data)
8.1.7.1. Market Revenue and Forecast
9.1. Synthetic Control Arms Market, by Application
9.1.1. Oncology
9.1.1.1. Market Revenue and Forecast
9.1.2. Neurology
9.1.2.1. Market Revenue and Forecast
9.1.3. Rare & Orphan Diseases
9.1.3.1. Market Revenue and Forecast
9.1.4. Cardiology
9.1.4.1. Market Revenue and Forecast
9.1.5. Infectious Diseases
9.1.5.1. Market Revenue and Forecast
9.1.6. Immunology
9.1.6.1. Market Revenue and Forecast
9.1.7. Others
9.1.7.1. Market Revenue and Forecast
10.1. Synthetic Control Arms Market, by Technology
10.1.1. AI/ML-Powered Analytics Platforms
10.1.1.1. Market Revenue and Forecast
10.1.2. Statistical Modelling & Propensity Score Matching Tools
10.1.2.1. Market Revenue and Forecast
10.1.3. Data Aggregation & Integration Platforms
10.1.3.1. Market Revenue and Forecast
10.1.4. Simulation Software
10.1.4.1. Market Revenue and Forecast
11.1. Synthetic Control Arms Market, by End Use
11.1.1. Pharmaceutical & Biotechnology Companies
11.1.1.1. Market Revenue and Forecast
11.1.2. Contract Research Organizations (CROs)
11.1.2.1. Market Revenue and Forecast
11.1.3. Academic Research Institutes
11.1.3.1. Market Revenue and Forecast
11.1.4. Regulatory and Health Technology Assessment (HTA) Bodies
11.1.4.1. Market Revenue and Forecast
12.1. Synthetic Control Arms Market, by Trial Design Type
12.1.1. Single-arm Interventional Trials with SCA
12.1.1.1. Market Revenue and Forecast
12.1.2. Hybrid Trials (Synthetic + Concurrent Controls)
12.1.2.1. Market Revenue and Forecast
12.1.3. Platform and Basket Trials Using SCAs
12.1.3.1. Market Revenue and Forecast
13.1. Synthetic Control Arms Market, by Delivery Model
13.1.1. Service-Based Models
13.1.1.1. Market Revenue and Forecast
13.1.2. Platform-Based Models
13.1.2.1. Market Revenue and Forecast
13.1.3. Custom-Built Analytics Solutions
13.1.3.1. Market Revenue and Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Data Source
14.1.2. Market Revenue and Forecast, by Application
14.1.3. Market Revenue and Forecast, by Technology
14.1.4. Market Revenue and Forecast, by End Use
14.1.5. Market Revenue and Forecast, by Trial Design Type
14.1.6. Market Revenue and Forecast, by Delivery Model
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Data Source
14.1.7.2. Market Revenue and Forecast, by Application
14.1.7.3. Market Revenue and Forecast, by Technology
14.1.7.4. Market Revenue and Forecast, by End Use
14.1.8. Market Revenue and Forecast, by Trial Design Type
14.1.8.1. Market Revenue and Forecast, by Delivery Model
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Data Source
14.1.9.2. Market Revenue and Forecast, by Application
14.1.9.3. Market Revenue and Forecast, by Technology
14.1.9.4. Market Revenue and Forecast, by End Use
14.1.10. Market Revenue and Forecast, by Trial Design Type
14.1.11. Market Revenue and Forecast, by Delivery Model
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Data Source
14.2.2. Market Revenue and Forecast, by Application
14.2.3. Market Revenue and Forecast, by Technology
14.2.4. Market Revenue and Forecast, by End Use
14.2.5. Market Revenue and Forecast, by Trial Design Type
14.2.6. Market Revenue and Forecast, by Delivery Model
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Data Source
14.2.8.2. Market Revenue and Forecast, by Application
14.2.8.3. Market Revenue and Forecast, by Technology
14.2.9. Market Revenue and Forecast, by End Use
14.2.10. Market Revenue and Forecast, by Trial Design Type
14.2.10.1. Market Revenue and Forecast, by Delivery Model
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Data Source
14.2.11.2. Market Revenue and Forecast, by Application
14.2.11.3. Market Revenue and Forecast, by Technology
14.2.12. Market Revenue and Forecast, by End Use
14.2.13. Market Revenue and Forecast, by Trial Design Type
14.2.14. Market Revenue and Forecast, by Delivery Model
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Data Source
14.2.15.2. Market Revenue and Forecast, by Application
14.2.15.3. Market Revenue and Forecast, by Technology
14.2.15.4. Market Revenue and Forecast, by End Use
14.2.16. Market Revenue and Forecast, by Trial Design Type
14.2.16.1. Market Revenue and Forecast, by Delivery Model
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Data Source
14.2.17.2. Market Revenue and Forecast, by Application
14.2.17.3. Market Revenue and Forecast, by Technology
14.2.17.4. Market Revenue and Forecast, by End Use
14.2.18. Market Revenue and Forecast, by Trial Design Type
14.2.18.1. Market Revenue and Forecast, by Delivery Model
14.3. APAC
14.3.1. Market Revenue and Forecast, by Data Source
14.3.2. Market Revenue and Forecast, by Application
14.3.3. Market Revenue and Forecast, by Technology
14.3.4. Market Revenue and Forecast, by End Use
14.3.5. Market Revenue and Forecast, by Trial Design Type
14.3.6. Market Revenue and Forecast, by Delivery Model
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Data Source
14.3.7.2. Market Revenue and Forecast, by Application
14.3.7.3. Market Revenue and Forecast, by Technology
14.3.7.4. Market Revenue and Forecast, by End Use
14.3.8. Market Revenue and Forecast, by Trial Design Type
14.3.9. Market Revenue and Forecast, by Delivery Model
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Data Source
14.3.10.2. Market Revenue and Forecast, by Application
14.3.10.3. Market Revenue and Forecast, by Technology
14.3.10.4. Market Revenue and Forecast, by End Use
14.3.11. Market Revenue and Forecast, by Trial Design Type
14.3.11.1. Market Revenue and Forecast, by Delivery Model
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Data Source
14.3.12.2. Market Revenue and Forecast, by Application
14.3.12.3. Market Revenue and Forecast, by Technology
14.3.12.4. Market Revenue and Forecast, by End Use
14.3.12.5. Market Revenue and Forecast, by Trial Design Type
14.3.12.6. Market Revenue and Forecast, by Delivery Model
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Data Source
14.3.13.2. Market Revenue and Forecast, by Application
14.3.13.3. Market Revenue and Forecast, by Technology
14.3.13.4. Market Revenue and Forecast, by End Use
14.3.13.5. Market Revenue and Forecast, by Trial Design Type
14.3.13.6. Market Revenue and Forecast, by Delivery Model
14.4. MEA
14.4.1. Market Revenue and Forecast, by Data Source
14.4.2. Market Revenue and Forecast, by Application
14.4.3. Market Revenue and Forecast, by Technology
14.4.4. Market Revenue and Forecast, by End Use
14.4.5. Market Revenue and Forecast, by Trial Design Type
14.4.6. Market Revenue and Forecast, by Delivery Model
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Data Source
14.4.7.2. Market Revenue and Forecast, by Application
14.4.7.3. Market Revenue and Forecast, by Technology
14.4.7.4. Market Revenue and Forecast, by End Use
14.4.8. Market Revenue and Forecast, by Trial Design Type
14.4.9. Market Revenue and Forecast, by Delivery Model
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Data Source
14.4.10.2. Market Revenue and Forecast, by Application
14.4.10.3. Market Revenue and Forecast, by Technology
14.4.10.4. Market Revenue and Forecast, by End Use
14.4.11. Market Revenue and Forecast, by Trial Design Type
14.4.12. Market Revenue and Forecast, by Delivery Model
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Data Source
14.4.13.2. Market Revenue and Forecast, by Application
14.4.13.3. Market Revenue and Forecast, by Technology
14.4.13.4. Market Revenue and Forecast, by End Use
14.4.13.5. Market Revenue and Forecast, by Trial Design Type
14.4.13.6. Market Revenue and Forecast, by Delivery Model
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Data Source
14.4.14.2. Market Revenue and Forecast, by Application
14.4.14.3. Market Revenue and Forecast, by Technology
14.4.14.4. Market Revenue and Forecast, by End Use
14.4.14.5. Market Revenue and Forecast, by Trial Design Type
14.4.14.6. Market Revenue and Forecast, by Delivery Model
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Data Source
14.5.2. Market Revenue and Forecast, by Application
14.5.3. Market Revenue and Forecast, by Technology
14.5.4. Market Revenue and Forecast, by End Use
14.5.5. Market Revenue and Forecast, by Trial Design Type
14.5.6. Market Revenue and Forecast, by Delivery Model
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Data Source
14.5.7.2. Market Revenue and Forecast, by Application
14.5.7.3. Market Revenue and Forecast, by Technology
14.5.7.4. Market Revenue and Forecast, by End Use
14.5.8. Market Revenue and Forecast, by Trial Design Type
14.5.8.1. Market Revenue and Forecast, by Delivery Model
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Data Source
14.5.9.2. Market Revenue and Forecast, by Application
14.5.9.3. Market Revenue and Forecast, by Technology
14.5.9.4. Market Revenue and Forecast, by End Use
14.5.9.5. Market Revenue and Forecast, by Trial Design Type
14.5.9.6. Market Revenue and Forecast, by Delivery Model
15.1. Aetion
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Flatiron Health
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. IQVIA
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Veristat
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. ConcertAI
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. Tempus
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. Prognos Health
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. Syneos Health
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Medidata (Dassault Systèmes)
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. TriNetX
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
17.1. About Us
17.2. Glossary of Terms
For questions or customization requests, please reach out to us at sales@precedenceresearch.com
Plan your call and get expert insights!
No cookie-cutter, only authentic analysis – take the 1st step to become a Precedence Research client