This report includes data collected from market leaders across the value chain and has been evaluated in detail. Considering various sections of the report, information on the growth of this particular market during the mentioned forecast period is stated in detail. Drivers, constraints, trends, impact and development are one of the many key parts of the report.
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The report segments the global market on the basis of applications that include machine translation, automated information extraction, report generation, predictive risk analytics, and others including question answering, dialogue systems, email filtering, spelling correction, and search engine. Report generation is expected to witness the highest growth rate.
The report generation application is used to extract required specific information from database, XML, or spreadsheets, and use that information to generate the document as per the requirement of users. Health care organizations and clinics are in constant need for high quality clinical data and this can be achieved by using NLP technology.
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With the help of distinct automated semantic algorithm, report generation application reorganizes the document as per the human needs.
Medical Research Institutes
NLP solution providers
Health information exchanges
Health information service providers
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Key Players in this Report are:
3M (Minnesota), Cerner Corporation (Missouri), IBM Corporation (New York), Microsoft Corporation (Washington), Nuance Communications (Massachusetts), M*Modal (Tennessee), Health Fidelity (California), Dolbey Systems (Ohio), Linguamatics (Cambridge), and Apixio (San Mateo).
Healthcare Natural Language Processing market to grow at a Compound Annual Growth Rate (CAGR) of +19% during forecast period 2017-2021. The NLP in healthcare market is growing rapidly because of the huge surge in clinical data, increase in the use of connected devices, and evolving consumer needs.
This market research report delves deep into the global Healthcare Natural Language Processing market. It highlights the recent market scenario, growth in the past few years, and opportunities for manufacturers in the future.
The research methods and tools used in the completion of this study are both primary and secondary research. The study further presents details on the investments initiated by several organizations, institutions, government, and non-government bodies.
This report covers Healthcare Natural Language Processing market from the bottom line, starting from its definition. Later, it segments the market on various criteria to give a depth of understanding on the various product types and pricing structures and applications.
Each and every segment is examined carefully by factoring in sales, revenue and market size in order to understand the potential of growth and scope.
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A major chunk of the report talks about the technologies that are and will influence the growth of the Healthcare Natural Language Processing market. Forecasts for these technology sectors are presented in the report.
Integration is the key to advancement in technology in the global Healthcare Natural Language Processing market. Companies that offers the latest integrated technologies at an affordable cost are expected to thrive in the Healthcare Natural Language Processing market.
The dominating technologies in the Healthcare Natural Language Processing market along with the upcoming technologies that are expected to revolutionize the market are explained in the report
The report further highlights the development trends in the global Healthcare Natural Language Processing market. Factors that are driving the market growth and fueling its segments are also analyzed in the report.
The report also highlights on its applications, types, deployments, components, developments of this market.
Table of Contents:
Global Healthcare Natural Language Processing Market Research Report 2017-2021
Chapter 1 Healthcare Natural Language Processing Market Overview
Chapter 2 Global Economic Impact
Chapter 3 Competition by Manufacturers
Chapter 4 Production, Revenue (Value) by Region (2012-2017)
Chapter 5 Supply (Production), Consumption, Export, Import by Regions (2012-2017)
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Analysis by Application
Chapter 8 Manufacturing Cost Analysis
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 (2017-2021)
Chapter 13 Appendix
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