NLP in Healthcare and Life Sciences 2021 Global Market Net Worth US$ 1.5 Billion in 2020 and Forecasts by 2027 : Wave Health Technologies, Caption Health, Oncora Medical

London, UK -- (SBWire) -- 11/10/2021 --NLP in Healthcare and Life Sciences Market is valued approximately at USD 1.5 billion in 2020 and is anticipated to grow with a healthy growth rate of more than 19% over the forecast period 2021-2027. Natural language processing for health and life sciences is an area that provides computers the capacity to interpret human speech, artificial intelligence, and computer linguistics as they communicate. It enables a range of semi-structured and unstructured textual documents to be created, managed and used for clinical and medical research.

NLP applications for healthcare and life sciences cover huge data processing, using advanced IT technology, automated voice recognition, machine translation and dialogue systems. The market is driven by rising demand of predictive analytics technology and growing demand for improving EHR data usability. For instance, as per Statista, the predictive analytics technology market was over USD 6 billion in total revenue. Furthermore, by 2022, the annual revenues of the market are anticipated to reach about $11 billion as more and more organizations utilize predictive analysis techniques for everything from fraud detection to medical diagnostics. Also, increasing private players initiatives in the NLP in healthcare and life sciences boost the market growth in the forecasting years.

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Key Company profiles included in this report are:

Wave Health Technologies
Caption Health
Oncora Medical
ForeSee Medical
CloudMedx
Google Inc.
Gnani.ai
IBM
IQVIA Company
Press Ganey

Some of the primary pointers utilized to anticipate the market situation for individual regional markets include consumption quantities, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, and down-stream and upstream value chain analysis. While providing forecast analysis of the nation data, the presence and availability of global brands, as well as the obstacles they face due to significant or scarce competition from local and domestic brands, and the impact of the COVID-19 pandemic are all taken into account. The research report delves into the NLP in Healthcare and Life Sciences industry in great detail.

Market Segmentation

The research also includes a market segmentation section that describes the feasibility of new projects that could succeed in the global market in the near future, as well as an in-depth segmentation of the market with a description of the global market's broad scope, as well as the feasibility of investments in various market segments. To give a complete picture of the industry, the report segments the NLP in Healthcare and Life Sciences market by application, end-user, and geography. In light of present and future market trends, all of the segments have been studied.

NLP in Healthcare and Life Sciences Market Segmentation Listed Below:

By Component:
Solution
Services

By Deployment mode:
Cloud
On-premises

By Organization size:
Large enterprises
Small and medium-sized enterprises

By NLP type:
Rule-based
Statistical
Hybrid

By Application:
IVR
Pattern and Image Recognition
Summarization and Categorization
Text and Speech Analytics
Predictive Risk Analytics
Reporting and Visualization
Other Applications

By End use:
NLP for Physician
NLP for Patients
NLP for Researchers
NLP for Clinical Operators

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Competitive Outlook

The competitive study of target market can range from technology-based studies to market portfolio strategies. To satisfy your specific demands, we can add as many competitors as you want for competitive analysis. Our analysts can also provide data in the form of raw Excel files, pivot tables, or assistance in creating presentations based on the report's data sets. This NLP in Healthcare and Life Sciences report covers acquisitions and mergers, new technology launches, agreements, partnerships, collaborations & joint ventures, research & development, technology, and geographic growth of key market participants on a worldwide and regional basis.

Reasons to Buy the NLP in Healthcare and Life Sciences Market Report

This research offers a precise forecast of each segment's contribution to the NLP in Healthcare and Life Sciences market's growth, as well as actionable market insights on COVID-19's impact on each segment. An in-depth look at the elements that will drive market growth over the next few years. This provides the report with a distinct perspective and overview of the research's global aspects, assisting in the cause of accurate and proper decision-making. Our strategic insights are aimed at giving dependable and practical answers to the specific needs of market participants.

Table of Contents -Major Key Points

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. NLP in Healthcare and Life Sciences Market, by Region, 2019-2027 (USD Billion)
1.2.2. NLP in Healthcare and Life Sciences Market, by Component, 2019-2027 (USD Billion)
1.2.3. NLP in Healthcare and Life Sciences Market, by Deployment Mode, 2019-2027 (USD Billion)
1.2.4. NLP in Healthcare and Life Sciences Market, by NLP type, 2019-2027 (USD Billion)
1.2.5. NLP in Healthcare and Life Sciences Market, by Organization size, 2019-2027 (USD Billion)
1.2.6. NLP in Healthcare and Life Sciences Market, by Application, 2019-2027 (USD Billion)
1.2.7. NLP in Healthcare and Life Sciences Market, by End use, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption

Chapter 2. Global NLP in Healthcare and Life Sciences Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates

Chapter 3. Global NLP in Healthcare and Life Sciences Market Dynamics
3.1. NLP in Healthcare and Life Sciences Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Rising demand for predictive analytics technology
3.1.1.2. Growing demand for improving EHR data usability
3.1.2. Market Restraint
3.1.2.1. Specific medical sub-languages and poor input data quality
3.1.2.2. Limited access to clinical data
3.1.3. Market Opportunities
3.1.3.1. Rising demand for NLP systems programmed to understand the context of medical records
3.1.3.2. Ensemble NLP systems to boost phenotyping capabilities

Chapter 4. Global NLP in Healthcare and Life Sciences Market Industry Analysis

Chapter 5. Global NLP in Healthcare and Life Sciences Market, by Component

Chapter 6. Global NLP in Healthcare and Life Sciences Market, by Deployment mode

Chapter 7. Global NLP in Healthcare and Life Sciences Market, by Organization size

Chapter 8. Global NLP in Healthcare and Life Sciences Market, by NLP type

Chapter 9. Global NLP in Healthcare and Life Sciences Market, by End use

Continued…

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