Global Natural Language Processing (NLP) in Healthcare Market Growth (Status and Outlook) 2023-2029

Global Natural Language Processing (NLP) in Healthcare Market Growth (Status and Outlook) 2023-2029

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++.
LPI (LP Information)' newest research report, the “Natural Language Processing (NLP) in Healthcare Industry Forecast” looks at past sales and reviews total world Natural Language Processing (NLP) in Healthcare sales in 2022, providing a comprehensive analysis by region and market sector of projected Natural Language Processing (NLP) in Healthcare sales for 2023 through 2029. With Natural Language Processing (NLP) in Healthcare sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Natural Language Processing (NLP) in Healthcare industry.
This Insight Report provides a comprehensive analysis of the global Natural Language Processing (NLP) in Healthcare landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Natural Language Processing (NLP) in Healthcare portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Natural Language Processing (NLP) in Healthcare market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Natural Language Processing (NLP) in Healthcare and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Natural Language Processing (NLP) in Healthcare.
The global Natural Language Processing (NLP) in Healthcare market size is projected to grow from US$ 833.3 million in 2022 to US$ 3137.2 million in 2029; it is expected to grow at a CAGR of 20.9% from 2023 to 2029.
The top 3 players held about 54% of the market share, in terms of the globle NLP revenue in 2018.
This report presents a comprehensive overview, market shares, and growth opportunities of Natural Language Processing (NLP) in Healthcare market by product type, application, key players and key regions and countries.
Market Segmentation:
Segmentation by type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
Segmentation by application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Averbis
Health Fidelity
Dolbey Systems

Please note: The report will take approximately 2 business days to prepare and deliver.


*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 Natural Language Processing (NLP) in Healthcare Market Size by Player
4 Natural Language Processing (NLP) in Healthcare by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global Natural Language Processing (NLP) in Healthcare Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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