Market Definition

Natural language processing for healthcare and life sciences is a branch of computer science, artificial intelligence, and computational linguistics that enables computers to comprehend human speech as it is uttered. It enables clinicians and researchers to create, maintain, and use a wide range of semi-structured and unstructured textual documents. High-end NLP technologies for information extraction, automatic voice recognition, machine translation, and dialogue systems are used in healthcare and life sciences. NLP is a wide term for the practise of identifying major components of ordinary language and extracting meaning from unstructured written or spoken data using computer algorithms. Some NLP projects focus on passing the Turing test by developing algorithmically-based entities capable of impersonating human-like responses to conversations or searches. Others, such as automated customer support programmes, use voice recognition technology to try to understand human speech.

Factors such as increased demand for enhancing the usability of electronic health record (EHR) data to better patient care, expanding interest in predictive analytics to reduce risks and improve significant health issues, and higher use of linked devices are driving market expansion. However, the business is hampered by specific medical sub-languages and low input data quality. Furthermore, increased demand for NLP systems trained to grasp the context of medical information is one of the market's prospects.

The Natural Language Processing (NLP) in Healthcare and Life Sciences market study includes regional analysis for North America, Europe, Asia Pacific, and the Rest of the World. Each region's Natural Language Processing (NLP) in Healthcare and Life Sciences market is further split into major nations such as the United States, Canada, Germany, the United Kingdom, France, Italy, China, India, Japan, Brazil, South Africa, and others.

Report Scope

The global market report scope consists of a comprehensive study covering primary factors impacting the industry trends. The study includes analysis of regional and country-level market dynamics. The scope also consists of a competitive overview offering company market shares coupled with company profiles for key revenue contributing companies. The report covers a detailed competitive outlook covering market shares and profiles of key participants in the market share.

Major Market Players

This report offers the major market player’s profiles, such as  Microsoft (US), Google (US), IBM (US), Cerner (US), 3M (US), AWS (US), Inovalon (US), Dolbey (US), Averbis (Germany), Linguamatics (an IQVIA Company) (UK), Apixio (US), Clinithink (US), Lexalytics (US), Apixio (US), Clinithink (US), Lexalytics (US), Health Fidelity (US), Wave Health Technologies (US), Corti (US), CloudMedx (US), Oncora Medical (US), Caption Health (US), ForeSee Medical (US), Press Ganey (US), Gnani.ai (India), Notable (US), Biofourmis (US), Babylon (UK), Flatiron (US), and Suki (US). 

The Natural Language Processing (NLP) in Healthcare and Life Sciences Market report has been categorized as below

By Component

  • Solution

    • Clinical Variation Management

    • Population Health Management

    • Counter Fraud Management

    • Other Solutions (risk adjustment and claim management)

  • Services

    • Professional Services

    • Managed Services

By Deployment Mode

  • Cloud

  • On-premises

By Organization Size

  • Large enterprises

  • Small and medium-sized enterprises (SMEs)

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 User

  • NLP for Physician

  • NLP for Patients

  • NLP for Researchers

  • NLP for Clinical Operators

By Region

  • North America
  • Europe
  • Asia Pacific
  • Rest of World

The years considered for the study are as follows:

  • Base year - 2020
  • Estimated year - 2021
  • Projected year – 2022
  • Forecast period - 2021 to 2027

Key Questions Addressed by the Report

  • New products/service competitors are exploring?
  • Key players in the Natural Language Processing (NLP) in Healthcare and Life Sciences Market and how extreme is the competition?
  • What are the future market trends that manufacturers are emphasizing on in the future updates?
  • For each segment, what are the crucial opportunities in the market?
  • What are the key growth strategies embraced by key market players in the market?
  • What are the key success strategies adopted by major competitors in the market?

Why Buy this Report:

  • Obtain comprehensive insights on the Natural Language Processing (NLP) in Healthcare and Life Sciences market trends
  • Note comprehensive analysis of the market status
  • Identifies the market opportunities and growth segments
  • Assessing business segments & product portfolios, and explain competitive dynamics
  • Provide strategy planning and industry dynamics to strengthen decision making

Report Content

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

1.1. Key Insights

1.2. Report Overview

1.3. Markets Covered

1.4. Stakeholders

2. Research Methodology

2.1. Research Scope

2.2. Market Research Process

2.3. Research Data Analysis

2.4. Market Size Estimation

3. Executive Summary 

4. Market Overview

4.1. Introduction

4.2. Market Drivers and Restraints

5. By Component

    5.1. Solution

        5.1.1.  Clinical Variation Management

        5.1.2. Population Health Management

        5.1.3. Counter Fraud Management

        5.1.4. Other Solutions (risk adjustment and claim management)

    5.2. Services

        5.2.1. Professional Services

        5.2.2. Managed Services

6. By Deployment Mode

6.1.  Cloud

6.2.  On-premises

7. By Organization Size

7.1. Large enterprises

7.2. Small and medium-sized enterprises (SMEs)

8. By NLP Type

8.1.  Rule-based

8.2.  Statistical

8.3. Hybrid

9. By Application

9.1.  IVR

9.2.  Pattern and Image Recognition

9.3. Summarization and Categorization

9.4. Text and Speech Analytics

9.5. Predictive Risk Analytics

9.6. Reporting and Visualization

9.7. Other Applications 

10. By End User

10.1. NLP for Physician

10.2. NLP for Patients

10.3. NLP for Researchers

10.4. NLP for Clinical Operators

11. By Region

11.1. Key Points

11.2. North America

11.3. Europe

11.4. Asia Pacific

11.5. Rest of the World

12. Company Profile

(Profile contain company overview, products/services, financials & recent developments)

12.1. Microsoft (US)

12.2. Google (US)

12.3. IBM (US) 

12.4. Cerner (US) 

12.5. 3M (US)

12.6. AWS (US)

12.7. Inovalon (US) 

12.8. Dolbey (US)

12.9. Averbis (Germany)

12.10. Linguamatics (an IQVIA Company) (UK) 

12.11. Apixio (US)

12.12. Clinithink (US)

12.13. Lexalytics (US) 

12.14. Apixio (US) 

12.15. Clinithink (US)

12.16. Lexalytics (US)

12.17. Health Fidelity (US) 

12.18. Wave Health Technologies (US)

12.19. Corti (US)

12.20. CloudMedx (US)

12.21. Oncora Medical (US)

12.22. Caption Health (US) 

12.23. ForeSee Medical (US)

12.24. Press Ganey (US)

12.25. Gnani.ai (India)

12.26. Notable (US)

12.27. Biofourmis (US)

12.28. Babylon (UK)

12.29. Flatiron (US)

12.30. Suki (US)

The Natural Language Processing (NLP) in Healthcare and Life Sciences Market report has been categorized as below

By Component

  • Solution

    • Clinical Variation Management

    • Population Health Management

    • Counter Fraud Management

    • Other Solutions (risk adjustment and claim management)

  • Services

    • Professional Services

    • Managed Services

By Deployment Mode

  • Cloud

  • On-premises

By Organization Size

  • Large enterprises

  • Small and medium-sized enterprises (SMEs)

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 User

  • NLP for Physician

  • NLP for Patients

  • NLP for Researchers

  • NLP for Clinical Operators

By Region

  • North America
  • Europe
  • Asia Pacific
  • Rest of World

Licence Option

  • Single User-
    2500 USD 1500 USD
  • Multiple User-
    5500 USD 3500 USD

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