Natural Language Processing (NLP) in Healthcare and Life Sciences Market Competitive Research And Precise Outlook 2023 To 2030

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Natural Language Processing (NLP) in Healthcare
and Life Sciences Market
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Some of the global leading clients that we have
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Some of the global leading clients that we have
served
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Market Overview
Evaluation of human-computer communication is at
the heart of natural language processing (NLP), a
ground-breaking technique that helps machines
understand written and spoken human language.
Using natural language processing (NLP), we can
glean insights from mountains of clinical data,
making it more usable for planning and testing
purposes.Natural language processing app users
report a considerable increase in demand for
electronic health records that can capture,
analyze, and discern between relevant descriptive
information and confusing data. As a result of
rising customer demands, the healthcare and life
sciences business is also seeing considerable
technical improvements. Patients are also
employing predictive analytics to improve their
health and lower their risk of medical
complications. To further improve customer
interaction and transformation according to
consumer preferences, natural language processing
systems link healthcare personnel and patients'
social media data via websites, Google searches,
and social networking sites. These factors have
pushed natural language processing forward in the
health and life sciences industries. However, the
industry is limited by specialized medical
sublanguages and low-quality input data.The
ability to discern context from disparate data
sources, the application of electronic health
record data to better patient care, and the use
of predictive analytics to reduce risk and
address major health concerns are all on the
rise. It has contributed to the growth of the NLP
market in healthcare and the life sciences.
Insufficient data integrity in the source

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By Region
In terms of regions, North America held the most
proportion in 2021. Due to the existence of key
competitors and rising demand for NLP, the North
American market is forecasted for substantial
growth over the coming years. The possibilities
have improved as a result of the widespread
adoption of AI tools employed by businesses in
the life sciences. Competitors in the region now
have a broader window of opportunity to increase
their market share as a result of intensive study
into the development of AI technologies and
methodologies for quality control in clinical
scientific research, population health care, and
patient safety. The United States has also been a
leader in developing innovative uses of NLP and
big data in the realm of public health.The market
for NLP in healthcare and life sciences in Asia
Pacific is projected to expand rapidly over the
next several years. The expansion of digital
infrastructure and the government's efforts to
promote technological development in several
fields are responsible for this development.
According to MeiTy, "digital India" is a massive
program launched by the Indian government to get
the country ready for a knowledge-based economy
and to give its people more control over their
lives through the use of modern technologies.
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The Global Natural Language Processing (NLP) in
Healthcare and Life Sciences Market has been
segmented into

• By Type
• Technology
• Services

• By Deployment Mode
• Cloud
• On-premises

• By Application
• Machine Translation
• Question Answering
• Automated Information Extraction
• Others

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The Global Natural Language Processing (NLP) in
Healthcare and Life Sciences Market has been
segmented into

• By Region
• Europe
• Germany
• France
• Italy
• Spain
• UK
• Nordic Countries
• Denmark
• Finland
• Iceland
• Sweden
• Norway
• Benelux Union
• Belgium
• The Netherlands
• Luxembourg
• Rest of Europe

• By Region
• North America
• US
• Canada
• Mexico
• Rest of North America
• The Middle East Africa
• Saudi Arabia
• UAE
• Egypt
• South Africa
• Rest of the Middle East Africa
• Latin America
• Brazil
• Argentina
• Rest of Latin America

• By Region
• Asia-Pacific
• Japan
• China
• India
• Australia
• South Korea
• Southeast Asia
• Indonesia
• Thailand
• Malaysia
• Singapore
• Rest of Southeast Asia
• Rest of Asia-Pacific

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Market Dynamics
Due to factors such as rising market demand for
better customer service, natural language
processing in the medical and life sciences
business has seen significant growth over the
past few decades. The growth of the natural
language processing market in healthcare and life
sciences is anticipated to be driven by rising
consumer demand for enhanced service quality in
these sectors.Market leaders in natural language
processing (NLP) in healthcare and the life
sciences are investing heavily in training
healthcare workers to use digital tools.
Artificial intelligence (AI) includes natural
language processing, which improves communication
between machines and people. For instance, Melax
Tech, an AI-driven software supplier, released
their Mercury Natural Language Processing system
in September 2021. The new program utilizes a
clinical NLP pipeline to sift through
unstructured text medical data and pull out
information that may be used for quantitative
analysis in the healthcare and pharmaceutical
industries.In a HIPAA-compliant cloud or
on-premises setting, Mercury NLP makes it simple
to access a wide variety of text data. From
medical records such as diagnoses, prescribed
drugs, tests, lab findings, and discharge
summaries, Melax Tech's Mercury NLP engine
instantly pulls relevant textual data. By
examining information on socioeconomic
determinants of health, this technology can also
be utilized to better the public's health. These
refining solutions decrease the need for
personnel in the medical and life sciences
industries while raising output in back-office
and clinical settings.
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Market Players

• IBM Corporation,
• Google,
• Hewlett Packard Enterprise Company, Fidelity,
• 3M,
• Apixio,
• Nuance Communications, Inc.,
• Linguamatics,
• Microsoft Corporation,
• Dolbey Systems, Inc.,
• Modal IP PLC,
• Clinithink Inc.,
• Cerner Corporation

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