The Natural Language Processing (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 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.
Pune, India -- (SBWIRE) -- 04/17/2018 -- The NLP in healthcare and life sciences market by technology consists of Interactive Voice Response (IVR), Optical Character Recognition (OCR), pattern and image recognition, auto coding, classification & categorization, text analytics, and speech analytics. Pattern and image recognition is expected to witness the highest CAGR.
Global Natural Language Processing (NLP) in Healthcare and Life Science Market Estimated to Grow at a Compound Annual Growth Rate (CAGR) of +20% During Forecast Period
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Natural Language Processing (NLP) is the technology which assists machines in understanding both written and spoken human language by analysing human to computer interaction. The NLP technologies are gaining traction in healthcare and life sciences industry as there is an explosive growth of unstructured clinical data available in Electronic Health Records (EHR). NLP techniques extract important information from the vast amount of clinical data and analyse it effectively for enhanced processing and analytics. Due to this, numerous healthcare providers are looking for solutions that incorporate high-end NLP technologies.
Top Companies Profiled in this Report includes, 3M, Apple, Google, Microsoft, A3logics, AlchemyAPI, Apixio, Aylien, Dolbey Systems, Fluxifi, HP, IBM, Linguamatics, Nuance Communication, SAS Institute
Natural Language Processing (NLP) in Healthcare and Life Science market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.
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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.
Various factors are responsible behind the market's growth trail, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the Global Natural Language Processing (NLP) in Healthcare and Life Science market. It also gauges the bargaining power of suppliers and buyers, threat to the 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 market's trajectory between forecast periods.
Natural Language Processing (NLP) in Healthcare and Life Science market is segmented on the basis of various parameters. The factors which are impacting the market's growth are studied in detail. The report also presents a overall weaknesses which companies operating in the market must avoid in order to enjoy sustainable growth through the course of the forecast period. Besides this, profiles of some of the leading players operating and encouraging in the growth of the Global market are included in the study. Additionally, using SWOT analysis, markets weaknesses and strengths are analyzed. It also helps the report provide insights into the opportunities and threats that these companies may face during the forecast period.
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Table of Contents
Global Natural Language Processing (NLP) in Healthcare and Life Science Market Research Report
Chapter 1 Natural Language Processing (NLP) in Healthcare and Life Science Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market 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 Global Natural Language Processing (NLP) in Healthcare and Life Science Market Forecast