Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size, Status and Forecast 2021-2027

Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size, Status and Forecast 2021-2027

  • QYResearch
  • January 2021
  • Education
  • 99 pages

Report Description

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Natural Language Processing (NLP) in Healthcare and Life Sciences market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Natural Language Processing (NLP) in Healthcare and Life Sciences market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Others

Segment by Application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Others

By Region
North America
the United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
3M (Minnesota)
Cerner Corporation (Missouri)
IBM Corporation (New York)
Microsoft Corporation (Washington)
Nuance Communications (Massachusetts)
M*Modal (Tennessee)
Health Fidelity (California)
Dolbey Systems (Ohio)
Linguamatics (Cambridge)
Microsoft Corporation (Washington)

Product Type & Applications

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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size Growth Rate by Type: 2016 VS 2021 VS 2027
1.2.2 Machine Translation
List of Tables
Table 1. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size Growth Rate by Type (US$ Million):2016 VS 2021 VS 2027
Table 2. Key Players of Machine Translation
Table 3. Key Players of Information Extraction
Table 4. Key Players of Automatic Summarization
Table 5. Key Players of Text and Voice Processing

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