Natural Language Processing (NLP) in Healthcare and Life Sciences Market by Component, NLP Type, Application (Pattern and Image Recognition, and Auto Coding), Deployment Mode, Organization Size, End User, and Region - Global Forecast to 2025

Abstract
Apex Market Research has published a new report titled ”Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market share, forecast data, In-Depth Analysis, and Forecast, 2020-2027”. According to the report, The global Natural Language Processing (NLP) in Healthcare and Life Sciences market is estimated to grow from USD 1.5 billion in 2020 to USD 3.7 billion by 2025, at a CAGR of 20.5%. The report offers in-depth insights, revenue details, and other vital information regarding the global Natural Language Processing (NLP) in Healthcare and Life Sciences market and the various trends, drivers, restraints, opportunities, and threats in the target market till 2027.

Attractive Opportunities in the Natural Language Processing (NLP) in Healthcare and Life Sciences market

The report covers an in depth description, competitive scenario, wide product portfolio of key vendors and business strategy adopted by competitors along with their SWOT analysis, revenue, sales and Porter's Five Forces Analysis.
Global Natural Language Processing (NLP) in Healthcare and Life Sciences market report offers in-depth insights, revenue details, and other vital information regarding the global Natural Language Processing (NLP) in Healthcare and Life Sciences market, and the various trends, drivers, restraints, opportunities, and threats in the target market till year 2027. Hence, it covers the impact of these drivers and restraints on demand for this market during the forecast period.
It provides historical data along with future forecast as well as detailed analysis of market on a global, regional and country level. Important market data of this market is projected in the form of tables, graphics, and pictures. On a regional basis, the market is categorized into five regions that include North America, Europe, Asia Pacific, Latin America, and Middle & East Africa. It analyzes complete scenario of each and every region along with highest shareholder of Natural Language Processing (NLP) in Healthcare and Life Sciences market. The major players operating into Natural Language Processing (NLP) in Healthcare and Life Sciences Market include: 3M (US)
Cerner (US)
Nuance (US)
Health Fidelity (US)
Dolbey (US)
Microsoft (US)
IBM (US)
Google (US)
AWS (US)
Apixio (US)
Averbis (Germany)
Linguamatics (UK)
Clinithink (Georgia)
Wave Health Technologies (Georgia)
Inovalon (US)
and Lexalytics (US) Scope Of the Report
Report Parameters Details of Parameter
Market Size 2020-2027
Based Year 2019
Forecast Period Covered 2020-2027
Units for value Billion (USD)
Covered Segments Component, NLP Type, Application, Deployment Mode, Organization Size, End User, and Region
Region Covered North America (the United States, Canada, and Mexico)
Europe (Germany, UK, France, Italy, and Russia, etc.)
Asia-Pacific (China, Japan, ASEAN, India, and Korea)
The Middle East and Africa (UAE, Egypt, South Africa, Saudi Arabia)
South America (Brazil, Chile, Peru, and Argentina)
This research report categorizes the Natural Language Processing (NLP) in Healthcare and Life Sciences market to forecast revenues and analyze trends in each of the following submarkets:

By component, the NLP in healthcare and life sciences market is divided into the following segments:

  • Standalone Solutions
  • Services
    • Support and Maintenance
    • Professional Services

By NLP type, the NLP in healthcare and life sciences market is divided into the following segments:

  • Rule-based NLP
  • Statistical NLP
  • Hybrid NLP

By application, the NLP in healthcare and life sciences market is divided into the following segments:

  • Interactive Voice Response (IVR)
  • Pattern and Image Recognition
  • Auto Coding
  • Classification and Categorization
  • Text and Speech Analytics
  • Others (Information Extraction and Report Generation)

By deployment mode, the NLP in healthcare and life sciences market is divided into the following segments:

  • Cloud
  • On-premises

By organization size, the NLP in healthcare and life sciences market is divided into the following segments:

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

By organization size, the NLP in healthcare and life sciences market is divided into the following segments:

  • NLP for Physicians
  • NLP for Researchers
  • NLP for Patients
  • NLP for Clinical Operators
By geography, this market has been segregated into five regions with revenue and growth rate of Natural Language Processing (NLP) in Healthcare and Life Sciences from 2020 to 2027,
There are 13 chapters to put on view for Natural Language Processing (NLP) in Healthcare and Life Sciences Market:
Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview Chapter 2: Market competition by Manufacturers Chapter 3: Production by Regions Chapter 4: Consumption by Regions Chapter 5: Production, By Types, Revenue and Market share by Types Chapter 6: Consumption, By Applications, Market share (%) and Growth Rate by Applications Chapter 7: Complete profiling and analysis of Manufacturers Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers Chapter 10: Marketing Strategy Analysis, Distributors/Traders Chapter 11: Market Effect Factors Analysis Chapter 12: Market Forecast Chapter 13: Natural Language Processing (NLP) in Healthcare and Life Sciences Research Findings and Conclusion, Appendix, methodology and data source Data type include capacity, production, market share, price, revenue, cost, gross, gross margin, growth rate, consumption, import, export have been determined using secondary sources and verified primary sources. Industry chain, manufacturing process, cost structure, marketing channel are also analyzed in this report. Industry Chain Analysis Raw Material and Suppliers Equipment and Suppliers Manufacturing Process Manufacturing Cost Structure Manufacturing Plants Distribution Analysis Available Customizations We can also provide customized report as per company's specific needs. We can also provide the customized separate regional or country-level reports, for the specific region as per client requirement.
Chapter 1 Industry Overview 1.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Overview 1.1.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Product Scope 1.1.2 Market Status and Outlook 1.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Analysis by Regions (2015-2019) 1.2.1 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Status and Outlook 1.2.2 EU Natural Language Processing (NLP) in Healthcare and Life Sciences Market Status and Outlook 1.2.3 Japan Natural Language Processing (NLP) in Healthcare and Life Sciences Market Status and Outlook 1.2.4 China Natural Language Processing (NLP) in Healthcare and Life Sciences Market Status and Outlook 1.2.5 India Natural Language Processing (NLP) in Healthcare and Life Sciences Market Status and Outlook 1.2.6 Southeast Asia Natural Language Processing (NLP) in Healthcare and Life Sciences Market Status and Outlook 1.3 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Segment By component, the NLP in healthcare and life sciences market is divided into the following segments:
1.3.1 Introduction
1.3.1.1 Market Estimates And Forecast 2015-2027
1.3.1 Standalone Solutions
1.3.1.1 Market Estimates And Forecast By Country, 2015-2027
1.3.2 Services
1.3.2.1 Support and Maintenance
1.3.2.2 Professional Services
1.3.2.3 Market Estimates And Forecast By Country, 2015-2027
1.4 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Segment By NLP type, the NLP in healthcare and life sciences market is divided into the following segments:
1.4.1 Introduction
1.4.1.1 Market Estimates And Forecast 2015-2027
1.4.1 Rule-based NLP
1.4.1.1 Market Estimates And Forecast By Country, 2015-2027
1.4.2 Statistical NLP
1.4.2.1 Market Estimates And Forecast By Country, 2015-2027
1.4.3 Hybrid NLP
1.4.3.1 Market Estimates And Forecast By Country, 2015-2027
1.5 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Segment By application, the NLP in healthcare and life sciences market is divided into the following segments:
1.5.1 Introduction
1.5.1.1 Market Estimates And Forecast 2015-2027
1.5.1 Interactive Voice Response (IVR)
1.5.1.1 Market Estimates And Forecast By Country, 2015-2027
1.5.2 Pattern and Image Recognition
1.5.2.1 Market Estimates And Forecast By Country, 2015-2027
1.5.3 Auto Coding
1.5.3.1 Market Estimates And Forecast By Country, 2015-2027
1.5.4 Classification and Categorization
1.5.4.1 Market Estimates And Forecast By Country, 2015-2027
1.5.5 Text and Speech Analytics
1.5.5.1 Market Estimates And Forecast By Country, 2015-2027
1.5.6 Others (Information Extraction and Report Generation)
1.5.6.1 Market Estimates And Forecast By Country, 2015-2027
1.6 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Segment By deployment mode, the NLP in healthcare and life sciences market is divided into the following segments:
1.6.1 Introduction
1.6.1.1 Market Estimates And Forecast 2015-2027
1.6.1 Cloud
1.6.1.1 Market Estimates And Forecast By Country, 2015-2027
1.6.2 On-premises
1.6.2.1 Market Estimates And Forecast By Country, 2015-2027
1.7 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Segment By organization size, the NLP in healthcare and life sciences market is divided into the following segments:
1.7.1 Introduction
1.7.1.1 Market Estimates And Forecast 2015-2027
1.7.1 Large Enterprises
1.7.1.1 Market Estimates And Forecast By Country, 2015-2027
1.7.2 Small and Medium-sized Enterprises (SMEs)
1.7.2.1 Market Estimates And Forecast By Country, 2015-2027
1.8 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Segment By organization size, the NLP in healthcare and life sciences market is divided into the following segments:
1.8.1 Introduction
1.8.1.1 Market Estimates And Forecast 2015-2027
1.8.1 NLP for Physicians
1.8.1.1 Market Estimates And Forecast By Country, 2015-2027
1.8.2 NLP for Researchers
1.8.2.1 Market Estimates And Forecast By Country, 2015-2027
1.8.3 NLP for Patients
1.8.3.1 Market Estimates And Forecast By Country, 2015-2027
1.8.4 NLP for Clinical Operators
1.8.4.1 Market Estimates And Forecast By Country, 2015-2027
Chapter 2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Competition Analysis by Players 2.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (Million USD) by Players (2015-2019) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future Chapter 3 Company (Top Players) Profiles and Key Data 3.1 3M (US) 3.1.1 Company Profile 3.1.2 Main Business/Business Overview 3.1.3 Products, Services and Solutions 3.1.4 3M (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD) (2015-2019) 3.1.5 Recent Developments 3.2 Cerner (US) 3.2.1 Company Profile 3.2.2 Main Business/Business Overview 3.2.3 Products, Services and Solutions 3.2.4 Cerner (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD) (2015-2019) 3.2.5 Recent Developments 3.3 Nuance (US) 3.3.1 Company Profile 3.3.2 Main Business/Business Overview 3.3.3 Products, Services and Solutions 3.3.4 Nuance (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD) (2015-2019) 3.3.5 Recent Developments 3.4 Health Fidelity (US) 3.4.1 Company Profile 3.4.2 Main Business/Business Overview 3.4.3 Products, Services and Solutions 3.4.4 Health Fidelity (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD) (2015-2019) 3.4.5 Recent Developments 3.5 Dolbey (US) 3.5.1 Company Profile 3.5.2 Main Business/Business Overview 3.5.3 Products, Services and Solutions 3.5.4 Dolbey (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD)(2015-2019) 3.5.5 Recent Developments 3.6 Microsoft (US) 3.6.1 Company Profile 3.6.2 Main Business/Business Overview 3.6.3 Products, Services and Solutions 3.6.4 Microsoft (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD)(2015-2019) 3.6.5 Recent Developments 3.7 IBM (US) 3.7.1 Company Profile 3.7.2 Main Business/Business Overview 3.7.3 Products, Services and Solutions 3.7.4 IBM (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD)(2015-2019) 3.7.5 Recent Developments 3.8 Google (US) 3.8.1 Company Profile 3.8.2 Main Business/Business Overview 3.8.3 Products, Services and Solutions 3.8.4 Google (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD) (2015-2019) 3.8.5 Recent Developments 3.9 AWS (US) 3.9.1 Company Profile 3.9.2 Main Business/Business Overview 3.9.3 Products, Services and Solutions 3.9.4 AWS (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD) (2015-2019) 3.9.5 Recent Developments 3.10 Apixio (US) 3.10.1 Company Profile 3.10.2 Main Business/Business Overview 3.10.3 Products, Services and Solutions 3.10.4 Apixio (US), Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD) (2015-2019) 3.10.5 Recent Developments Chapter 4 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size Type (2015-2019) 4.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Type (2015-2019) Chapter 5 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size Application (2015-2019) 5.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2015-2019) 5.2 Potential Application of Natural Language Processing (NLP) in Healthcare and Life Sciences in Future 5.3 Top Consumer / End Users of Natural Language Processing (NLP) in Healthcare and Life Sciences Chapter 6 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Development Status and Outlook 6.1 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2015-2019) 6.2 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2015-2019) Chapter 7 EU Natural Language Processing (NLP) in Healthcare and Life Sciences Development Status and Outlook 7.1 EU Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2015-2019) 7.2 EU Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2015-2019) Chapter 8 Japan Natural Language Processing (NLP) in Healthcare and Life Sciences Development Status and Outlook 8.1 Japan Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2015-2019) 8.2 Japan Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2015-2019) Chapter 9 China Natural Language Processing (NLP) in Healthcare and Life Sciences Development Status and Outlook 9.1 China Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2015-2019) 9.2 China Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2015-2019) Chapter 10 India Natural Language Processing (NLP) in Healthcare and Life Sciences Development Status and Outlook 10.1 India Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2015-2019) 10.2 India Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2015-2019) Chapter 11 Southeast Asia Natural Language Processing (NLP) in Healthcare and Life Sciences Development Status and Outlook 11.1 Southeast Asia Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2015-2019) 11.2 Southeast Asia Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2015-2019) Chapter 12 Market Forecast by Regions and Application (2020-2027) 12.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (Million USD) by Regions (2020-2027) 12.1. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2020-2027) 12.1.2 EU Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2020-2027) 12.1.3 China Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2020-2027) 12.1.4 Japan Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2020-2027) 12.1.5 Southeast Asia Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2020-2027) 12.1.6 India Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2020-2027) 12.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2020-2027) Chapter 13 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Dynamics 13.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Opportunities 13.2 Natural Language Processing (NLP) in Healthcare and Life Sciences Challenge and Risk 13.2.1 Competition from Opponents 13.2.2 Downside Risks of Economy 13.3 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Constraints and Threat 13.3.1 Threat from Substitute 13.3.2 Government Policy 13.3.3 Technology Risks 13.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Driving Force 13.4.1 Growing Demand from Emerging Markets 13.4.2 Potential Application Chapter 14 Market Effect Factors Analysis 14.1 Technology Progress/Risk 14.1.1 Substitutes 14.1.2 Technology Progress in Related Industry 14.2 Consumer Needs Trend/Customer Preference 14.3 External Environmental Change 14.3.1 Economic Fluctuations 14.3.2 Other Risk Factors Chapter 15 Research Finding /Conclusion Chapter 16 Methodology and Data Source 16.1 Methodology/Research Approach 16.1.1 Research Programs/Design 16.1.2 Market Size Estimation 16.1.3 Market Breakdown and Data Triangulation 16.2 Data Source 16.2.1 Secondary Sources 16.2.2 Primary Sources 16.3 Disclaimer 16.4 Author List
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