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

The Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market was valued at USD 1.12 billion in 2016 and is projected to reach USD 6.24 billion by 2025, growing at a CAGR of 21.02% from 2017 to 2025.

Natural language processing for healthcare and life sciences is a field of computer science, artificial intelligence, and computational linguistics which gives computers the ability to understand human speech as it is spoken. It enables clinical and research medical community to create, manage and use a wide variety of semi-structured and unstructured textual documents. Applications of NLP for healthcare and life sciences include processing of enormous amounts of data by utilizing high-end NLP technologies for information extraction, automatic speech recognition, machine translation, and dialogue systems.

Sample Infographics:




Market Dynamics:
1. Market Drivers
1.1 Proper government policies and increasing initiatives
1.2 Integration of social media for assessing population health
1.3 Rising consumer needs
1.4 Growing usage of connected devices
1.5 Increasing surge in clinical data
2. Market Restraints
2.1 Unstructured clinical notes and texts
2.2 Poor institutional commitment
2.3 Limited access to clinical data

Market Segmentation:
The Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market is segmented on the type, component, deployment model, application, and region.

1. Type:
1.1 Statistical
1.2 Rule-based
1.3 Hybrid

2. By Component:
2.1 Technology
2.2 Services
2.2.1 Managed services
2.2.2 Professional services
2.2.2.1 Support and maintenance services
2.2.2.2 Consulting services

3. By Deployment Mode:
3.1 Cloud
3.2 On-premises

4. By Application:
4.1 Machine Translation
4.2 Question Answering
4.3 Automated Information Extraction
4.4 Email Filtering
4.5 Report Generation
4.6 Spelling Correction
4.7 Predictive Risk Analytics

5. By Region:
5.1 North America (U.S., Canada, Mexico)
5.2 Europe (Germany, UK, France, Rest of Europe)
5.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
5.4 Latin America (Brazil, Argentina, Rest of Latin America)
5.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. IBM Corporation
2. Google
3. Hewlett Packard Enterprise Company
4. Heath Fidelity
5. 3M
6. Apixio
7. Nuance Communications, Inc.
8. Linguamatics
9. Microsoft Corporation
10. Dolbey Systems, Inc.
11. Mmodal IP PLC
12. Clinithink Inc.
13. Cerner Corporation
These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team
INTRODUCTION OF GLOBAL NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE AND LIFE SCIENCES MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE AND LIFE SCIENCES MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE AND LIFE SCIENCES MARKET , BY TYPE
5.1 Overview
5.2 Statistical
5.3 Rule-based
5.4 Hybrid

6 GLOBAL NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE AND LIFE SCIENCES MARKET , BY COMPONENT
6.1 Overview
6.2 Technology
6.3 Services
6.3.1 Managed services
6.3.2 Professional services
6.3.2.1 Support and maintenance services
6.3.2.2 Consulting services

7 GLOBAL NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE AND LIFE SCIENCES MARKET , BY DEPLOYMENT MODE
7.1 Overview
7.2 Cloud
7.3 On-premises

8 GLOBAL NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE AND LIFE SCIENCES MARKET , BY APPLICATION
8.1 Overview
8.2 Machine Translation
8.3 Question Answering
8.4 Automated Information Extraction
8.5 Email Filtering
8.6 Report Generation
8.7 Spelling Correction
8.8 Predictive Risk Analytics

9 GLOBAL NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE AND LIFE SCIENCES MARKET , BY GEOGRAPHY
9.1 Overview
9.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
9.2.1 U.S.
9.2.2 Canada
9.2.3 Mexico
9.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
9.3.1 Germany
9.3.2 U.K.
9.3.3 France
9.3.4 Rest of Europe
9.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 Rest of Asia Pacific
9.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
9.5.1 Brazil
9.5.2 Argentina
9.6 Rest of the World Regional Market Estimates and Forecasts, 2012 â€" 2025

10 GLOBAL NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE AND LIFE SCIENCES MARKET COMPETITIVE LANDSCAPE
10.1 Overview
10.2 Company Market Share
10.3 Vendor Landscape
10.4 Key Development Strategies

11 COMPANY PROFILES
11.1 IBM Corporation
11.1.1 Overview
11.1.2 Financial Performance
11.1.3 Product Outlook
11.1.4 Key Developments

11.2 Google
11.2.1 Overview
11.2.2 Financial Performance
11.2.3 Product Outlook
11.2.4 Key Developments

11.3 Hewlett Packard Enterprise Company
11.3.1 Overview
11.3.2 Financial Performance
11.3.3 Product Outlook
11.3.4 Key Developments

11.4 Heath Fidelity
11.4.1 Overview
11.4.2 Financial Performance
11.4.3 Product Outlook
11.4.4 Key Developments

11.5 3M
11.5.1 Overview
11.5.2 Financial Performance
11.5.3 Product Outlook
11.5.4 Key Developments

11.6 Apixio
11.6.1 Overview
11.6.2 Financial Performance
11.6.3 Product Outlook
11.6.4 Key Developments

11.7 Nuance Communications, Inc.
11.7.1 Overview
11.7.2 Financial Performance
11.7.3 Product Outlook
11.7.4 Key Developments

11.8 Linguamatics
11.8.1 Overview
11.8.2 Financial Performance
11.8.3 Product Outlook
11.8.4 Key Developments

11.9 Microsoft Corporation
11.9.1 Overview
11.9.2 Financial Performance
11.9.3 Product Outlook
11.9.4 Key Developments

11.10 Dolbey Systems, Inc.
11.10.1 Overview
11.10.2 Financial Performance
11.10.3 Product Outlook
11.10.4 Key Developments

11.11 Mmodal IP PLC
11.11.1 Overview
11.11.2 Financial Performance
11.11.3 Product Outlook
11.11.4 Key Developments

11.12 Clinithink Inc.
11.12.1 Overview
11.12.2 Financial Performance
11.12.3 Product Outlook
11.12.4 Key Developments

11.13 Cerner Corporation
11.13.1 Overview
11.13.2 Financial Performance
11.13.3 Product Outlook
11.13.4 Key Developments

12 Appendix
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