Global Natural Language Processing (NLP) in Healthcare Market Size, Status and Forecast 2020-2026

SKU ID : QYR-15075657 | Publishing Date : 13-Jan-2020 | No. of pages : 99

Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language (spoken or written data), not in the artificial languages such as Java and C++.
The top 3 players held about 54% of the market share, in terms of the globle NLP revenue in 2018.
Market Analysis and Insights: Global Natural Language Processing (NLP) in Healthcare Market
In 2019, the global Natural Language Processing (NLP) in Healthcare market size was US$ 582.7 million and it is expected to reach US$ 2128.3 million by the end of 2026, with a CAGR of 20.1% during 2021-2026.
Global Natural Language Processing (NLP) in Healthcare Scope and Market Size
Natural Language Processing (NLP) in Healthcare market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Natural Language Processing (NLP) in Healthcare 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 2015-2026.
Segment by Type, the Natural Language Processing (NLP) in Healthcare market is segmented into Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing, Other, etc.
Segment by Application, the Natural Language Processing (NLP) in Healthcare market is segmented into Electronic Health Records (EHR), Computer-Assisted Coding (CAC), Clinician Document, Other, etc.
Regional and Country-level Analysis
The Natural Language Processing (NLP) in Healthcare market is analysed and market size information is provided by regions (countries).
The key regions covered in the Natural Language Processing (NLP) in Healthcare market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.

Competitive Landscape

and Natural Language Processing (NLP) in Healthcare Market Share Analysis
Natural Language Processing (NLP) in Healthcare market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in Natural Language Processing (NLP) in Healthcare business, the date to enter into the Natural Language Processing (NLP) in Healthcare market, Natural Language Processing (NLP) in Healthcare product introduction, recent developments, etc.
The major vendors include 3M, Linguamatics, Amazon AWS, Nuance Communications, SAS, IBM, Microsoft Corporation, Averbis, Health Fidelity, Dolbey Systems, etc.

This report focuses on the global Natural Language Processing (NLP) in Healthcare status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Natural Language Processing (NLP) in Healthcare development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

The key players covered in this study


3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Averbis
Health Fidelity
Dolbey Systems

Market segment by Type, the product can be split into


Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
By type, machine translation is the most commonly used type, with about 44% market share in 2018.

Market segment by Application, split into


Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.

Market segment by Regions/Countries, this report covers


North America
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:


To analyze global Natural Language Processing (NLP) in Healthcare status, future forecast, growth opportunity, key market and key players.
To present the Natural Language Processing (NLP) in Healthcare development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.

In this study, the years considered to estimate the market size of Natural Language Processing (NLP) in Healthcare are as follows:
History Year: 2015-2019

Base Year:

2019

Estimated Year:

2020
Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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