This report presents a 360-degree overview of the competitive scenario of the Global Healthcare Natural Language Processing market. The report includes massive data relating to the recent product and technological developments observed in the market, complete with an analysis of the impact of these advancements on the market’s future development.
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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.
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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 and life sciences market is growing rapidly because of the huge surge in clinical data, increase in the use of connected devices, and evolving consumer needs.
The report has been segmented by region into North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA), and Latin America. North America is expected to continue being the largest revenue generator region for NLP in healthcare and life sciences vendors for the next five years, followed by Europe.
Major initiatives taken for NLP technologies have their origin in this region. Increase in adoption and usage of smartphones and big data are a few of the major drivers of NLP solutions in North America.
The market growth in developing regions can be attributed to the enhancements in technology.
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Further, the key geographical segments of the global Healthcare Natural Language Processing market have been discussed in the research study. The key factors that are boosting the growth of the key segments have been offered in the study.
A detailed study of the competitive landscape of the global Healthcare Natural Language Processing market have been given, presenting insights into the company profiles, financial status, recent developments, mergers and acquisitions, and the SWOT analysis. This research will give a clear idea to the readers about the overall market scenario to further decide on this market project.
Various factors are responsible for the market’s growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Healthcare Natural Language Processing market.
It also estimates the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report.
It studies the Healthcare Natural Language Processing market’s trajectory between forecast periods.
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