Natural Language Processing in Healthcare Market by Technology (Automatic Summarization, Information Extraction, Machine Translation, Text and Voice Processing), Solutions (Rule-Based NLP, Statistical NLP, Hybrid NLP), Services (Professional Services, Support and Maintenance Services) and Deployment Model (On-Premises, On-Demand) and Forecast 2017-2021

Natural Language Processing in Healthcare Market by Technology (Automatic Summarization, Information Extraction, Machine Translation, Text and Voice Processing), Solutions (Rule-Based NLP, Statistical NLP, Hybrid NLP), Services (Professional Services, Support and Maintenance Services) and Deployment Model (On-Premises, On-Demand) and Forecast 2017-2021

Natural language processing (NLP) is process of using of computer algorithms to identify key elements in everyday language and extract meaning from unstructured spoken or written input.  NLP is a discipline of computer science that requires skills in artificial intelligence, computational linguistics, and other machine learning disciplines. Specific tasks for NLP systems may include: Summarizing lengthy blocks of narrative text, such as a clinical note or academic journal article, by identifying key concepts or phrases present in the source material, Mapping data elements present in unstructured text to structured fields in an electronic health record in order to improve clinical data integrity, Converting data in the other direction from machine-readable formats into natural language for reporting and educational purposes, Answering unique free-text queries that require the synthesis of multiple data sources, Engaging in optical character recognition to turn images, like PDF documents or scans of care summaries and imaging reports, into text files that can then be parsed and analyzed, and Conducting speech recognition to allow users to dictate clinical notes or other information that can then be turned into text.

The global natural language processing in healthcare market segmentation is based on technology (automatic summarization, information extraction, machine translation, text and voice processing), type of solutions (rule-based NLP, statistical NLP, and hybrid NLP), type of services (professional services, support and maintenance services) and deployment model (on-premises and on-demand).

The global natural language processing in healthcare market report provides market size (Revenue USD Million 2014 to 2021), market share, trends and forecasts growth trends (CAGR%, 2017 to 2021). The global healthcare natural language processing market research report is further segmented by geography into North America (U.S., Canada), Latin America (Brazil, Mexico, Rest of LA), Europe (U.K., Germany, France, Italy, Spain, Rest of EU), Asia Pacific (Japan, China, India, Rest of APAC), and Rest of the World. The global natural language processing in healthcare market report also provides the detailed market landscape (market drivers, restraints, opportunities), market attractiveness analysis and also tracks the major competitors operating in the market by company overview, financial snapshot, key products, technologies and services offered, market share analysis and recent trends in the global market.

Major players operating in the global natural language processing in healthcare market and included in this report are Apple, Inc., Artificial Solutions, Dolbey Systems, eContext, IBM Corporation, Linguamatics Ltd., Microsoft Corporation, NEC Corporation, NetBase Solutions, Inc., NLP Technologies, SAS Institute Inc., and Verint Systems, Inc.

  1. Introduction
  2. Executive Summary
    • Market Size Estimation (Revenue USD Million, 2014-2021)
    • Forecast Estimation (Revenue USD Million and CAGR%, 2017-2021)
  3. Research Methodology
  4. Market Landscape
    • Market Dynamics
      • Drivers
      • Barriers
      • Opportunities
    • Market Share Analysis
      • Companies
      • Products
    • Market Trends Analysis
      • Key success factors
      • Market Growth Rate
    • Market Attractiveness Analysis
    • Market Profitability Analysis
      • Buyer power
      • Supplier power
      • Barriers to entry
      • Threat of substitute products
      • Rivalry among firms in the industry
    • Distribution Channels
  5. Market Segmentation [refer Market Segments and Companies Tab]
    • Product or Brand Type
    • Software Type
    • Service Type
    • Modality Type
    • Indication Type
    • Technology
    • Medical Application
    • End User Groups
  6. Geography (Region, Country)
    • North America (U.S., Canada)
    • Europe (U.K., Germany, France, Italy, Spain, Rest of EU)
    • Latin America (Brazil, Mexico, Rest of LA)
    • Asia Pacific (Japan, China, India, Rest of APAC)
    • Rest of the World (Middle East & Africa)
  7. Company Profiles [refer Market Segments and Companies Tab]
    • Company Overview
    • Financial Snapshot (FY 2014-2016)
    • Product Portfolio
    • Business Strategies
    • Recent Developments
  8. Recommendations
  9. References

 

Natural Language Processing in Healthcare Market

1. Technology
1.1. Automatic Summarization
1.2. Information Extraction
1.3. Machine Translation
1.4. Text and Voice Processing

2. Solution
2.1. Rule-based NLP
2.2. Statistical NLP
2.3. Hybrid NLP

3. Service
3.1. Professional Services
3.2. Support and Maintenance Services

4. Deployment Model
4.1. On-Premises
4.2. On-Demand

5. Company Profiles
5.1. Apple, Inc.
5.2. Artificial Solutions
5.3. Dolbey Systems
5.4. eContext
5.5. IBM Corporation
5.6. Linguamatics Ltd.
5.7. Microsoft Corporation
5.8. NEC Corporation
5.9. NetBase Solutions, Inc.
5.10. NLP Technologies
5.11. SAS Institute Inc.
5.12. Verint Systems, Inc.

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