Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market

Global Natural Language Processing (NLP) in Healthcare and Life Sciences
Market- Industry Trends and Forecast to 2025
The global natural language processing (NLP) in healthcare and life sciences market is accounted for
USD 1.12 billion in 2017 and is projected to grow at a CAGR of 21.2% the forecast period of 2018
to 2025. Natural language processing (NLP) is the innovation which helps machines in understanding
both written and spoken human language by analyzing human to computer collaboration.
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NLP strategies extraction of data from the large amount of clinical information and enhance it viably
for improved preparing and examination. Because of this, various healthcare services suppliers are
searching for arrangements that consolidate top of the line NLP innovations. Key Players in Global
Natural Language Processing (NLP) in Healthcare and Life Sciences Market are:
3M
Apple
Google
Microsoft
A3logics
AlchemyAPI
Apixio,
Aylien,
Others: Dolbey Systems, Fluxifi, HP, IBM, Linguamatics, Mmodal, Netbase, Nuance
Communication, SAS Institute, Textalytics and Verint Systems. The global NLP in healthcare and
life science market is fragmented and the major players have used various strategies such as new
product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to
increase their footprints in this market in order to sustain in long run. The report includes market
shares of NLP in healthcare and life science Industry for global, Europe, North America, Asia Pacific
and South America. The market report contains data for historic years 2016, the base year of
calculation is 2017 and the Natural Language Processing (NLP) in Healthcare and Life Sciences
industry forecast period is 2018 to 2025.

NLP is also a piece of AI. It is both based on text and speech provided to the computer. Right
now, NLP approaches depend on machine discovering that utilizations designs for
understanding own projects.
The most widely recognized NLP in all the product bundles incorporates sentence division,
part of speech tagging and parsing, deep analytics, name entity extraction, co-reference
resolution
The objective of NLP is to lessen the ideal opportunity for understanding coding languages, for
example, Java, C, C++, and Ruby. The advancements of NLP arrangements is troublesome on the
grounds that PCs require people to talk in a programming language that should be exact,
unambiguous, and exceedingly organized with less measure of articulated voice commands.
Nonetheless, human discourse can’t be exact, and it is often unambiguous and relies upon factors that
incorporate slang, regional dialects, and social context.
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Segmentation:
The global NLP in healthcare and life science market is based on
Component
Type
Application
Deployment model
Geographical segments
Based on component, the global NLP in healthcare and life science market is segmented technology
and services.
Technology is further sub segmented into interactive voice response (IVR), optical character
recognition (OCR), pattern and image recognition, auto coding, classification and
categorization, text analytics and speech analytics.
Service is further sub segmented into support and maintenance and professional services.
Based on type, the global NLP in healthcare and life science market is segmented into
Rule-based

Statistical
Hybrid
Based on application, the global NLP in healthcare and life science market is segmented into
Machine Translation
Automated Information Extraction
Report Generation
Predictive Risk Analytics
Others (Question Answering, Dialogue Systems, Email Filtering, Spelling Correction, And
Search Engine)
Based on deployment model, the global NLP in healthcare and life science market is segmented into
Cloud
On-premises
Based on Geography, the global NLP in healthcare and life science market report covers data points
for 28 countries across multiple geographies such as North America, South America, Europe, Asia-
Pacific and Middle East & Africa.
Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K.,
Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore,
Saudi Arabia, South Africa, and Brazil among others.
Market Drivers and Restraints:
Effective utilization of internet and its web based applications.
Emerging influence of big data and a vast amount of unstructured clinical data drives the growth of
NLP in healthcare sector.
Increased usage of connected devices.
A challenging factor which is being faced by the healthcare and life sciences field incorporates the
difficulties postured by government standards and controls.
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