Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Research Report

As per the research conducted by GME, the Natural Language Processing (NLP) in Healthcare and Life Sciences will grow with a CAGR value of 20.8 percent by 2021. Aspects such as heightened demand for enhancing the usability of electronic health record (EHR) data to better patient care, expanding interest in predictive analytics to minimize risks and improve important health issues, and higher use of linked devices are driving market expansion.

Browse 151 Market Data Tables and 111 Figures spread through 181 Pages and in-depth TOC on “Natural Language Processing (NLP) in Healthcare and Life Sciences - Forecast to 2026".

https://www.globalmarketestimates.com/market-report/global-natural-language-processing-nlp-in-healthcare-and-life-sciences-market-3170

By Component (Standalone Solutions and Services [Support & Maintenance and Professional Services]), By Type (Rule-Based Natural Language Processing, Statistical Natural Language Processing, and Hybrid Natural Language Processing), By Application (Interactive Voice Response (IVR), Pattern & Image Recognition, Auto Coding, Classification & Categorization, Text & Speech Analytics, and Others (Information Extraction and Report Generation), By Deployment Mode (Cloud and On-premises), By Organization Size (Large Enterprise and Small and Medium-sized Enterprises (SMEs), By End-Users ( NLP for Physicians, NLP for Researchers, NLP for Patients, and NLP for Clinical Operators), By Region (North America, Asia Pacific, Europe, Latin America, Middle East & Africa); End-User Landscape, Company Market Share Analysis, and Competitor Analysis.

Key Market Insights

Augmenting demand for NLP systems trained to grasp the context of medical information is one of the market's prospects.
The growing demand for expert solutions correlates to the service segment's supremacy in the components segment.
The rule-based NLP segment is presumed to dominate since it aids in improving the EHR process by aiding in the discovery of arbitrary terms and increasing the efficiency of data management.
Pattern and image recognition will be the most profitable in the applications segment since these techniques are associated with NLP and provide better results in strategy formulation as well as improved public care.
Cloud deployment is considered to be supreme with regards to the mode of deployment since it can be tailored to the needs of its customers.
Natural language processing is widely used in large organizations to reduce time in strategic planning and provide enhanced patient care.
Researchers are utilizing NLP to conduct a thorough examination of incorrect medical information, which is assisting in the discovery of new prospective therapies and treatment techniques.
Due to the extremely increased use of digitized technologies, North America has the most scientifically sophisticated healthcare system and makes considerable use of natural language processing technologies to monitor patients.
3M, Apple, Google, Microsoft, A3logics, AlchemyAPI, Apixio, Aylien, Dolbey Systems, Fluxifi, HP, IBM, Linguamatics, Mmodal, Netbase, Nuance Communication, SAS Institute, Textalytics, and Verint Systems, amongst others, are the key players in the market.

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Component Outlook (Revenue, USD Billion, 2021-2026)