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

Sample on Global Natural Language Processing (NLP) in Healthcare
and Life Sciences Market - Global Industry Analysis, Size, Share,
Growth Opportunities, Future Trends, Covid-19 Impact, SWOT
Analysis, Competition and Forecasts 2022 to 2030

Copyright @ 2022, Contrive Datum Insights Page 2
Global Natural Language Processing (NLP) in Healthcare and Life
Sciences Market, 2023-2030
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Projectinitiation
Secondary
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Data collection Primary research
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Post-delivery
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Market Size Estimation
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Data Source
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In the secondary research process, various secondary sources, such as D&B Hoovers,
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Preliminary data mining
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 Olympus
 Otsuka Holdings Co., Ltd.
 Etcetera
 Others
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After arriving at the overall market size using the market size estimation processes as explained
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applicable. The data was triangulated by studying several factors and trends from both the
demand and supply sides.
Global
Market
Value
Add up all Country Market Sizes
to Derive Regional Market Size
Market Size for a Country = Add up of Total
Company Revenues
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Secondary: Annual Reports, Presentations,
Press Release, Journals, Paid Databases,
and A2Z Market Research database
Primary: Demand & Supply Side Experts
Secondary: Annual Reports, Presentations,
Press Releases, Journals, Paid Databases,
and A2Z Market Research database
Bottom-upApproach (Segmental Analysis) Global Market

Top Down Approach
Report Objectives
 To define, describe, and forecast the {Keyword} Market by segments, and region
 To provide detailed information about the major factors (drivers, restraints, opportunities,
and challenges) influencing the growth of the market
 To analyze the sub-segments with respect to individual growth trends, prospects, and
contributions to the total market
 To analyze opportunities in the market for stakeholders and provide the competitive
landscape of the market
 To forecast the revenues of the market segments with respect to the major regions, such
as North America, Europe, Asia Pacific (APAC), Middle East & Africa and South America.
 To profile the key players and comprehensively analyze their recent developments and
positioning in {Keyword} market.
Global Market ($ Million)
Geographical Split
Percent Split for Type and
Application Segments for
Market
Country Split
Global Market Size Through Primaries(Demand and
Supply Side Experts)
Secondary: Annual Reports, Presentations, Press
Release, Journals, Paid Databases, and A2Z Market
Research
Secondary: Annual Reports, Presentations, Press
Release, Journals, Paid Databases, and A2Z Market
Research database
Primary: Demand &and Supply Side Experts
Secondary: Company Websites, Press Releases, and
News Articles
Top-Down Approach (SegmentalAnalysis) Global Market

 To analyze competitive developments, such as mergers and acquisitions, new product
developments, and Research and Development (R&D) activities, in the market

Market Overview
Market Synopsis
By analyzing human-computer communication, natural language processing (NLP) is a
revolutionary technology that enables machines to comprehend both written and spoken
human language. NLP techniques extract data from massive amounts of clinical information and
enhance actionability for improved planning and assessment.
The demand for electronic health records that can record, analyze, and differentiate pertinent
descriptive information as well as ambiguous data captured through natural language
processing applications is increasing dramatically. In addition, the healthcare and life sciences
industry is experiencing significant technological advancements as customer expectations for
better healthcare services rise. In addition, patients are becoming more health conscious and
employing predictive analytics to reduce health-related hazards and enhance medical
conditions. Moreover, natural language processing applications link healthcare professionals
and patients' social media data via webpages, Google queries, and social networking sites,
enabling healthcare professionals to enhance customer engagement and transformation based
on consumer preferences. All of these factors have advanced natural language processing in the
medical and life sciences markets. In spite of this, the business is hampered by medical
sublanguages and weak data input integrity.
The use of predictive analytics to mitigate critical health concerns and reduce risk is increasing,
as is the capacity to interpret context from unrelated data streams and the application of EHR
data to enhance patient care. It is accountable for the expansion of the natural language
processing (NLP) market within the medical and life sciences. Insufficient data integrity in the
source and the use of certain sub-medical languages are limitations on natural language
processing (NLP) in the medical and life sciences industry. NLP systems are trained as much as
feasible to capture the medical information of patients. Concerns regarding data confidentiality
and transparency impede the advancement of researchers in the field of natural language
processing (NLP) in the medical and life sciences.
Request Sample Copy of Report “Natural Language Processing (NLP) in Healthcare and Life
Sciences Market - Global Industry Analysis, Size, Share, Growth Opportunities, Future Trends,
Covid-19 Impact, SWOT Analysis, Competition and Forecasts 2022 to 2030”, published by
Contrive Datum Insights.

Key Market Updates
 In May 2021, IBM Corporation formed a partnership with Gratitude to merge IBM Watson Health
and Gratitude. This integration will provide a real-world evidence solution to help life sciences
companies surmount obstacles in rare disease research, such as enrolling in clinical trials,
generating external controls, and obtaining reimbursement for treatments.
 Google and HCA Healthcare joined forces in May 2021 to create a new data analytics platform
that will utilize information from the 32 million annual patient visits to the healthcare system.
Regional Outlook:
In 2021, the North American region held the largest share. The North American market is
anticipated to expand significantly due to the presence of major participants and the demand
for natural language processing. The prospects have improved as a result of a rise in the use of
AI tools in the life sciences by businesses. Extensive research into artificial intelligence (AI)
technologies and methodologies for quality control in clinical scientific research, population
health care, and patient safety has widened the opportunities for regional competitors to
increase their market share. The United States has also been a leader in the use of natural
language processing platforms and large data sets to enhance public health.
In addition, the natural language processing in medical and life sciences market in Asia-Pacific is
anticipated to expand at a significant rate over the forecast period. This increase can be
attributed to digital infrastructure and the government's role in advancing technology across
sectors. According to MeiTy, "digital India" is a large-scale initiative of the Government of India
that seeks to prepare the country for a knowledge-based economy and empower its citizens
with new technologies.
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Market Scope
On the basis of By Type, the market has been segmented as follows:

 Technology
 Services
On the basis of By Deployment Mode, the market has been segmented as follows:
 Cloud
 On-premises
On the basis of By Application, the market has been segmented as follows:
 Machine Translation
 Question Answering
 Automated Information Extraction
 Others
On the basis of Companies
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
On the basis of Geography
 NORTH AMERICA
 EUROPE
 ASIA PACIFIC
 MIDDLE EAST AFRICA
 SOUTH AMERICA
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