Report

Global NLP in Healthcare and Life Sciences Market by Component (Solutions and Services), NLP Type (Rule-based, Statistical, and Hybrid), Application (IVR, Predictive Risk Analytics), Deployment mode (Cloud, on premises), Organization Size (Large enterprises, medium and small enterprises), End User (NLP for Physician, NLP for Patients, NLP for Researchers, NLP for Clinical Operators), Regional Forecasts 2021-2027

  • Publish Date: Mar,2022
  • Report ID: QI037
  • Page : 250
  • Report Type : PDF (Email)
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. NLP in Healthcare and Life Sciences Market, by Region, 2019-2027 (USD Billion)
1.2.2. NLP in Healthcare and Life Sciences Market, by Component, 2019-2027 (USD Billion)
1.2.3. NLP in Healthcare and Life Sciences Market, by Deployment Mode, 2019-2027 (USD Billion)
1.2.4. NLP in Healthcare and Life Sciences Market, by NLP type, 2019-2027 (USD Billion)
1.2.5. NLP in Healthcare and Life Sciences Market, by Organization size, 2019-2027 (USD Billion)
1.2.6. NLP in Healthcare and Life Sciences Market, by Application, 2019-2027 (USD Billion)
1.2.7. NLP in Healthcare and Life Sciences Market, by End use, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global NLP in Healthcare and Life Sciences Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global NLP in Healthcare and Life Sciences Market Dynamics
3.1. NLP in Healthcare and Life Sciences Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Rising demand for predictive analytics technology
3.1.1.2. Growing demand for improving EHR data usability
3.1.2. Market Restraint
3.1.2.1. Specific medical sub-languages and poor input data quality
3.1.2.2. Limited access to clinical data
3.1.3. Market Opportunities
3.1.3.1. Rising demand for NLP systems programmed to understand the context of medical records
3.1.3.2. Ensemble NLP systems to boost phenotyping capabilities
Chapter 4. Global NLP in Healthcare and Life Sciences Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global NLP in Healthcare and Life Sciences Market, by Component
5.1. Market Snapshot
5.2. Global NLP in Healthcare and Life Sciences Market by Component, Performance - Potential Analysis
5.3. Global NLP in Healthcare and Life Sciences Market Estimates & Forecasts by Component 2018-2027 (USD Billion)
5.4. NLP in Healthcare and Life Sciences Market , Sub Segment Analysis
5.4.1. Solution
5.4.2. Services
Chapter 6. Global NLP in Healthcare and Life Sciences Market, by Deployment mode
6.1. Market Snapshot
6.2. Global NLP in Healthcare and Life Sciences Market by Deployment mode , Performance - Potential Analysis
6.3. Global NLP in Healthcare and Life Sciences Market Estimates & Forecasts by Deployment mode 2018-2027 (USD Billion)
6.4. NLP in Healthcare and Life Sciences Market , Sub Segment Analysis
6.4.1. Cloud
6.4.2. On-premises
Chapter 7. Global NLP in Healthcare and Life Sciences Market, by Organization size
7.1. Market Snapshot
7.2. Global NLP in Healthcare and Life Sciences Market by Organization size , Performance - Potential Analysis
7.3. Global NLP in Healthcare and Life Sciences Market Estimates & Forecasts by Organization size 2018-2027 (USD Billion)
7.4. NLP in Healthcare and Life Sciences Market , Sub Segment Analysis
7.4.1. Large enterprises
7.4.2. Small and medium-sized enterprises
Chapter 8. Global NLP in Healthcare and Life Sciences Market, by NLP type
8.1. Market Snapshot
8.2. Global NLP in Healthcare and Life Sciences Market by NLP type , Performance - Potential Analysis
8.3. Global NLP in Healthcare and Life Sciences Market Estimates & Forecasts by NLP type 2018-2027 (USD Billion)
8.4. NLP in Healthcare and Life Sciences Market , Sub Segment Analysis
8.4.1. Rule-based
8.4.2. Statistical
8.4.3. Hybrid
Chapter 9. Global NLP in Healthcare and Life Sciences Market, by End use
9.1. Market Snapshot
9.2. Global NLP in Healthcare and Life Sciences Market by End Use, Performance - Potential Analysis
9.3. Global NLP in Healthcare and Life Sciences Market Estimates & Forecasts by End Use 2018-2027 (USD Billion)
9.4. NLP in Healthcare and Life Sciences Market , Sub Segment Analysis
9.4.1. NLP for Physician
9.4.2. NLP for Patients
9.4.3. NLP for Researchers
9.4.4. NLP for Clinical Operators
Chapter 10. Global NLP in Healthcare and Life Sciences Market, by Application
10.1. Market Snapshot
10.2. Global NLP in Healthcare and Life Sciences Market by Application, Performance - Potential Analysis
10.3. Global NLP in Healthcare and Life Sciences Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
10.4. NLP in Healthcare and Life Sciences Market , Sub Segment Analysis
10.4.1. IVR
10.4.2. Pattern and Image Recognition
10.4.3. Summarization and Categorization
10.4.4. Text and Speech Analytics
10.4.5. Predictive Risk Analytics
10.4.6. Reporting and Visualization
10.4.7. Other Applications
Chapter 11. Global NLP in Healthcare and Life Sciences Market, Regional Analysis
11.1. NLP in Healthcare and Life Sciences Market , Regional Market Snapshot
11.2. North America NLP in Healthcare and Life Sciences Market
11.2.1. U.S. NLP in Healthcare and Life Sciences Market
11.2.1.1. Component breakdown estimates & forecasts, 2018-2027
11.2.1.2. Deployment mode breakdown estimates & forecasts, 2018-2027
11.2.1.3. Organizational size breakdown estimates & forecasts, 2018-2027
11.2.1.4. NLP type breakdown estimates & forecasts, 2018-2027
11.2.1.5. End use breakdown estimates & forecasts, 2018-2027
11.2.1.6. Application breakdown estimates & forecasts, 2018-2027
11.2.2. Canada NLP in Healthcare and Life Sciences Market
11.3. Europe NLP in Healthcare and Life Sciences Market Snapshot
11.3.1. U.K. NLP in Healthcare and Life Sciences Market
11.3.2. Germany NLP in Healthcare and Life Sciences Market
11.3.3. France NLP in Healthcare and Life Sciences Market
11.3.4. Spain NLP in Healthcare and Life Sciences Market
11.3.5. Italy NLP in Healthcare and Life Sciences Market
11.3.6. Rest of Europe NLP in Healthcare and Life Sciences Market
11.4. Asia-Pacific NLP in Healthcare and Life Sciences Market Snapshot
11.4.1. China NLP in Healthcare and Life Sciences Market
11.4.2. India NLP in Healthcare and Life Sciences Market
11.4.3. Japan NLP in Healthcare and Life Sciences Market
11.4.4. Australia NLP in Healthcare and Life Sciences Market
11.4.5. South Korea NLP in Healthcare and Life Sciences Market
11.4.6. Rest of Asia Pacific NLP in Healthcare and Life Sciences Market
11.5. Latin America NLP in Healthcare and Life Sciences Market Snapshot
11.5.1. Brazil NLP in Healthcare and Life Sciences Market
11.5.2. Mexico NLP in Healthcare and Life Sciences Market
11.6. Rest of The World NLP in Healthcare and Life Sciences Market
Chapter 12. Competitive Intelligence
12.1. Top Market Strategies
12.2. Company Profiles
12.2.1. Wave Health Technologies
12.2.1.1. Key Information
12.2.1.2. Overview
12.2.1.3. Financial (Subject to Data Availability)
12.2.1.4. Product Summary
12.2.1.5. Recent Developments
12.2.2. Caption Health
12.2.3. Oncora Medical
12.2.4. ForeSee Medical
12.2.5. CloudMedx
12.2.6. Google Inc.
12.2.7. Gnani.ai
12.2.8. IBM
12.2.9. IQVIA Company
12.2.10. Press Ganey
Chapter 13. Research Process
13.1. Research Process
13.1.1. Data Mining
13.1.2. Analysis
13.1.3. Market Estimation
13.1.4. Validation
13.1.5. Publishing
13.2. Research Attributes
13.3. Research Assumption