Natural Language Processing Market for Health Care and Life Sciences Industry 2015-2020 - Market is Projected to Grow to USD 2.67 Billion

Oct 08, 2015, 13:10 ET from Research and Markets

DUBLIN, Oct. 08 2015 /PRNewswire/ --

Research and Markets (http://www.researchandmarkets.com/research/pvzb7x/natural_language) has announced the addition of the "Natural Language Processing Market for Health Care and Life Sciences Industry by Type (Rule-Based, Statistical, & Hybrid NLP Solutions), Region (North America, Europe, Asia-Pacific, Middle East and Africa, Latin America) - Global Forecast to 2020" report to their offering.

The NLP market for healthcare and life sciences industry is projected to grow to USD 2.67 Billion from USD 1.10 Billion in 2015, at a CAGR of 19.2% for the forecast period.

The advent of Electronic Health Records (EHR) has prioritized the use of innovative technologies. Many healthcare and life sciences business organizations are progressively seeking high end NLP technologies which would provide them better and quick access to the clinical data to derive better results for medical diagnosis. There is an explosive growth of unstructured clinical data, and healthcare firms are deploying solutions to utilize this unstructured data for many functions, such as to retrieve patient's history, to reduce the readmission of the patients for particular diseases, and to generate reminders for the physicians.

The type of Natural Language Processing (NLP) solutions for the healthcare and life sciences industry are broadly categorized into rule-based, statistical, and hybrid NLP solutions. The rule-based NLP technologies work on the basis of certain set of rules provided by humans. The statistical NLP solutions which incorporate high end technologies such as machine learning, use the cause and effect relationship to derive a solution, and the hybrid NLP is the combination of both rule-based and statistical NLP technologies.

The NLP market for healthcare and life sciences industry is also segmented on the basis of technologies, which include interactive voice response, optical character recognition, pattern and image recognition, auto coding, classification and categorization, text analytics, and speech analytics. However, the NLP market for the healthcare and life sciences industry is also segmented on the basis of deployment model into on premises and on demand deployment models for the NLP solutions.

This market research report consists of the detailed analysis, market sizing, and forecasting for the emerging submarkets of the NLP market for healthcare and life sciences industry. The report is segmented on the basis of type of NLP solutions, technologies, services, deployment models, and regions. The NLP market for healthcare and life sciences industry research report analyzes global adoption trends, future growth potential, key drivers, competitive outlook, restraints, opportunities, market ecosystem, and emerging technologies in this market.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview

6 Natural Language Processing Market For Healthcare And Life Sciences Industry, By Type

7 Natural Language Processing Market For Healthcare And Life Sciences Industry, By Technology

8 Natural Language Processing Market For Healthcare And Life Sciences Industry, By Service

9 Natural Language Processing Market For Healthcare And Life Sciences Industry, By Deployment Model

10 Natural Language Processing Market For Healthcare And Life Sciences Industry, Case Study

11 Geographic Analysis

12 Competitive Landscape

13 Company Profiles

- 3M
- International Business Machines Corporation
- Microsoft Corporation
- Nuance Communication Inc.
- Cerner Corporation
- Optum, Inc.
- Linguamatics
- Health Fidelity
- Apixio
- Mmodal IP Llc
- Dolbey Systems
- Clinithink Inc.

For more information visit http://www.researchandmarkets.com/research/pvzb7x/natural_language

Media Contact: Laura Wood , +353-1-481-1716, press@researchandmarkets.net

SOURCE Research and Markets



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