Natural Language Processing (NLP) in Healthcare Market:Size, Share, Growth, Analysis, Key Players, Revenue, Growth | Valuates Reports

Natural Language Processing (NLP) in Healthcare Market Size
The global Natural Language Processing (NLP) in Healthcare market was valued at US$ 1037.6 million in 2022 and is anticipated to reach US$ 3113.7 million by 2029, witnessing a CAGR of 20.1% during the forecast period 2023-2029.

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Report Scope
This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP) in Healthcare, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Natural Language Processing (NLP) in Healthcare.

The Natural Language Processing (NLP) in Healthcare market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Natural Language Processing (NLP) in Healthcare market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Natural Language Processing (NLP) in Healthcare companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.

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

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

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

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