Natural Language Processing (NLP) in Healthcare and Life Sciences Market Trend & Growth Projections 2027
                     Natural Language Processing 
(NLP) in Healthcare and Life 
Sciences Market To Reach USD 
3.81 Billion By 2026
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       Market  Summary
The increasing amount of clinical data and the 
elevated demand for effective communication 
between care users and care providers are some of 
the factors boosting Natural Language Processing 
(NLP) in Healthcare and Life Sciences Market. 
Market Size – USD 1.38 Billion in 2018, Market 
Growth - CAGR of 13.5%, Market Trends – The 
increasing use of connected devices in the 
healthcare sector.
            M  a Orkuetr  S Aumpmparroyach
 The Global NLP in healthcare and life sciences market is forecast to reach USD 3.81 Billion by 2026, according to a 
new report by Reports and Data. NLP can be referred to as a discipline of computer science that requires skills in 
computational linguistics, artificial intelligence, and other machine learning disciplines. The NLP in healthcare and 
life sciences market is projected to witness significant growth during the forecast period, which is resultant of the 
combination of different market factors. One of the significant factors in this regards is the diverse applications of 
this technology in the health sector. As an instance, it contributes to the enhancement of patient health literacy, 
along with minimizing the issues of EHR processing on the part of care providers. NLP tools may contribute to 
effective interactions between care users and health IT tools. The mentioned effectiveness of interactions between 
health IT tools and care users would allow them to access health data and make informed decisions easily. Another 
essential benefit of NLP tools for healthcare organizations is that it contributes to improving the quality of care as 
these tools offer effective ways to assess the quality of care and develop it accordingly. In regards to region, Europe 
occupies a prominent market position. The market position held by Europe is resultant of the growing healthcare 
sector, increasing geriatric population, and resultant elevated demand for NLP tools.
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       M   a r kOeut  Sru Ampmparyoach
Further key findings from the report suggest
• The NLP in healthcare and life sciences market held a market share of USD 1.38 Billion in the year 
2018 and forecasted to witness a CAGR of 13.5% during the forecast period.
• In context to Component, the Technology segment generated a higher revenue of USD 0.91 Billion 
in 2018, with a faster CAGR of 13.9% during the forecast period. High demand for Optical Character 
Recognition, Interactive Voice Response, Text Analytics technologies among care providing 
organizations for enhancing their EHR processing contributes to the revenue generated by the 
Technology segment.
• In regards to Type, the Rule-Based NLP segment generated the highest revenue of USD 0.67 Billion 
in 2018, with second-highest CAGR of 13.8% during the forecast period. This type of NLP focuses on 
pattern-matching, a trait beneficial for the healthcare sector in enhancing the EHR process by 
assisting in finding arbitrary words and increase the efficiency of data maintenance that results in its 
increased demand, which contributes to the revenue generated by the Rule-Based NLP segment.
To identify the key trends in the industry, click on the link below @ 
https://www.reportsanddata.com/report-detail/natural-language-processing-nlp-in-healthcare
-and-life-sciences-market
       M   a r kOeut  Sru Ampmparyoach
Key participants :  Cerner Corporation, 3M, Nuance Communications, Inc., IBM Corporation, Heath Fidelity, Microsoft 
Corporation, Linguamatics, Apixio, Clinithink Inc., and Mmodal IP PLC.
For the purpose of this report, global NLP in healthcare and life sciences market according to Component, Type, 
Deployment Mode, Application, and Region:
Component Type Outlook (Revenue, USD Billion; 2016-2026)
Service
Support and Maintenance Services
Professional Services
Technology
Optical Character Recognition
Auto Coding
Interactive Voice Response
Pattern and Image Recognition
Text Analytics
Classification and Categorization
Speech Analytics
        M  a  rOkeut  rSu Ampmparyoach
Application Type Outlook (Revenue, USD Billion; 2016-2026)
Machine Translation
Predictive Risk Analytics
Report Generation
Automated Information Extraction
Others
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   A  b  oOuutr U Aspproach
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