Overview


According to FutureWise analysis the market for nlp in healthcare and life sciencess in 2023 is US$ 2.8 billion, and is expected to reach US$ 19.34 billion by 2031 at a CAGR of 27.30%.

Natural language processing for healthcare and life sciences is a branch of computer science that combines computational linguistics and artificial intelligence to allow computers to understand spoken language in real time. The ability to create, manage, and utilise a range of unstructured and semi-structured text documents is provided for medical professionals and researchers. In the healthcare and life sciences industries, high-end NLP technologies are used to process enormous volumes of data for information extraction, automatic voice recognition, machine translation, and dialogue systems. Thanks to the application of computer science, artificial intelligence, and computational linguistics in the areas of healthcare and life sciences, computers can now understand spoken human language. It can be used to create, store, and utilise a variety of semi-structured and unstructured text documents by clinicians and researchers. In the healthcare and life sciences industries, advanced NLP technologies are used for information extraction, automatic voice recognition, machine translation, and dialogue systems. Natural language processing, or NLP, is the study of utilising computer algorithms to recognise essential components of common language and extract meaning from unstructured written or spoken material. Some NLP efforts aim to pass the Turing test by creating algorithmically based creatures that can respond to questions or dialogues in a human-like manner. Others try to interpret human speech by using voice recognition technology, such as automated customer service programmes. Over the course of the forecast, the market will expand as a result of healthcare organisations placing a greater emphasis on clinical documentation improvement (CDI). Health organisations are giving improving clinical documentation top priority in order to operate profitably and effectively. In order to maintain correct records of drugs, patient profiles, including past medical histories, and other data, NLP is being utilised more and more in the healthcare sector for administrative, financial, operational, and clinical delivery tasks.

FutureWise Market Research has instantiated a report that provides an intricate analysis of NLP in Healthcare and Life Sciences Market trends that shall affect the overall market growth. Furthermore, it includes detailed information on the graph of profitability, SWOT analysis, market share and regional proliferation of this business. Moreover, the report offers insights on the current stature of prominent market players in the competitive landscape analysis of this market.

According to the research study conducted by FutureWise research analysts, the NLP in Healthcare and Life Sciences Market is anticipated to attain substantial growth by the end of the forecast period. The report explains that this business is predicted to register a noteworthy growth rate over the forecast period. This report provides crucial information pertaining to the total valuation that is presently held by this industry and it also lists the segmentation of the market along with the growth opportunities present across this business vertical.

  • Microsoft
  • Google
  • IBM
  • Cerner
  • 3M
  • AWS
  • Inovalon
  • Dolbey
  • Averbis
  • Linguamatics
  • Apixio
  • Clinithink
  • Lexalytics
  • Health Fidelty
  • Wave Health Technologies
  • Corti
  • CloudMedx

(Note: The list of the major players will be updated with the latest market scenario and trends)

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
  • Others

By End User

  • NLP for Physician
  • NLP for Patients
  • NLP for Researchers
  • NLP for Clinical Operators

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa


  • Tier 1 players- established companies in the market with a major market share
  • Tier 2 players
  • Emerging players which are growing rapidly
  • New Entrants

  • Growth prospects
  • SWOT analysis
  • Key trends
  • Key data-points affecting market growth

  • To provide with an exhaustive analysis on the NLP in Healthcare and Life Sciences Market By Component, By Deployment Mode, By Organization Size, By NLP Type, By Application, By End User and By Region.
  • To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints)
  • To evaluate and forecast micro-markets and the overall market
  • To predict the market size, in key regions— North America, Europe, Asia Pacific, Latin America and Middle East and Africa.
  • To record and evaluate competitive landscape mapping- product launches, technological advancements, mergers and expansions

  • We have a flexible delivery model and you can suggest changes in the scope/table of content as per your requirement
  • The customization Mobility Care offered are free of charge with purchase of any license of the report
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Table of Contents


  • 1.   Market Introduction
    •   1. Objectives of the Study
        2. Market Definition
        3. Market Scope
         3.1. Years Considered for the Study
         3.2. Market Covered
        4. Currency
        5. Limitations
        6. Stakeholders
  • 2.   Research Methodology
    •   1. Research Data
         1.1. Secondary Data
          1.1.1. Key Data from Secondary Sources
         1.2. Primary Data
          1.2.1. Key Data from Primary Sources
        2. Market Size Estimation
        3. Market Breakdown and Data Triangulation
        4. Assumptions for the Study
  • 3.   Executive Summary
    •   1. Market Outlook
        2. Segment Outlook
        3. Competitive Insights
  • 4.   NLP in Healthcare and Life Sciences Market Variables, Trends and Scope
    •   1. Market Lineage Outlook
        2. Penetration and Growth Prospect Mapping
        3. Industry Value Chain Analysis
        4. Cost Analysis Breakdown
        5. Technology Overview
        6. Regulatory Framework
         6.1. Reimbursement Framework
         6.2. Standards and Compliances

  • 5.   Market Overview
    •   1. Market Dynamics
         1.1. Market Driver Analysis
          1.1.1. Increasing focus of NLP in Healthcare and Life Sciences Market Companies on Brand Protection
          1.1.2. Untapped Opportunities in Emerging Regions
         1.2. Market Restraint Analysis
          1.2.1. High Cost Associated with Implementation of Predictive Analysis
         1.3. Industry Challenges
          1.3.1. Presence of Ambiguous Regulatory Framework
  • 6.   NLP in Healthcare and Life Sciences Market Analysis Tools
    •   1. Industry Analysis - Porter’s
         1.1. Supplier Power
         1.2. Buyer Power
         1.3. Substitution Threat
         1.4. Threat from New Entrants
         1.5. Competitive Rivalry
        2. Pestel Analysis
         2.1. Political Landscape
         2.2. Environmental Landscape
         2.3. Social Landscape
         2.4. Technology Landscape
         2.5. Legal Landscape
        3. Major Deals And Strategic Alliances Analysis
         3.1. Joint Ventures
         3.2. Mergers and Acquisitions
         3.3. Licensing and Partnership
         3.4. Technology Collaborations
         3.5. Strategic Divestments
        4. Market Entry Strategies
        5. Case Studies
  • 7.   NLP in Healthcare and Life Sciences Market, By Component Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Solution
         1.1. Clinical Variation Management
         1.2. Population Health Management
         1.3. Counter Fraud Management
         1.4. Other Solutions (risk adjustment and claim management)
        2. Services
         2.1. Professional Services
         2.2. Managed Services

  • 8.   NLP in Healthcare and Life Sciences Market, By Deployment Mode Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Cloud
        2. On-premises

  • 9.   NLP in Healthcare and Life Sciences Market, By Organization Size Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Large enterprises
        2. Small and medium-sized enterprises (SMEs)

  • 10.   NLP in Healthcare and Life Sciences Market, By NLP Type Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Rule-based
        2. Statistical
        3. Hybrid

  • 11.   NLP in Healthcare and Life Sciences Market, By Application Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. IVR
        2. Pattern and Image Recognition
        3. Summarization and Categorization
        4. Text and Speech Analytics
        5. Predictive Risk Analytics
        6. Reporting and Visualization
        7. Others

  • 12.   NLP in Healthcare and Life Sciences Market, By End User Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. NLP for Physician
        2. NLP for Patients
        3. NLP for Researchers
        4. NLP for Clinical Operators

  • 13.   North America NLP in Healthcare and Life Sciences Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. U.S.A
         2.2. Canada
         2.3. Mexico
        3. Market Size (USD Million) Forecast for North America 2023-2031

  • 14.   Latin America NLP in Healthcare and Life Sciences Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Brazil
         2.2. Venezuela
         2.3. Argentina
         2.4. Rest of Latin America
        3. Market Size (USD Million) Forecast for Latin America 2023-2031

  • 15.   Europe NLP in Healthcare and Life Sciences Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Germany
         2.2. U.K
         2.3. France
         2.4. Italy
         2.5. Spain
         2.6. Russia
         2.7. Poland
         2.8. Rest of Europe
        3. Market Size (USD Million) Forecast for Europe 2023-2031

  • 16.   Asia Pacific NLP in Healthcare and Life Sciences Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Japan
         2.2. China
         2.3. India
         2.4. Australia and New Zealand
         2.5. ASEAN
         2.6. Rest of Asia Pacific
        3. Market Size (USD Million) Forecast for Asia Pacific 2023-2031

  • 17.   Middle East and Africa Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. GCC
         2.2. Israel
         2.3. South Africa
         2.4. Rest of MEA
        3. Market Size (USD Million) Forecast for MEA 2023-2031

  • 18.   Market Share Analysis and Competitive Landscape
    •   1. Global Landscape - Key Players, Revenue and Presence
        2. Global Share Analysis - Key Players (Tier 1, Tier 2, Tier 3)
        3. Global Emerging Companies
        4. North America - Market Share Analysis and Key Regional Players
        5. Europe - Market Share Analysis and Key Regional Players
        6. Asia Pacific - Market Share Analysis and Key Regional Players
        7. Global Key Player - Growth Matrix
  • 19.   Company Profiles (Competition Dashboard, Competitors Deep Dive, Products Offered and Financial Layouts)
    •   1. Microsoft
         1.1. Company Overview
         1.2. Product Portfolio
         1.3. SWOT Analysis
         1.4. Financial Overview
         1.5. Strategic Overview
        2. Google
         2.1. Company Overview
         2.2. Product Portfolio
         2.3. SWOT Analysis
         2.4. Financial Overview
         2.5. Strategic Overview
        3. IBM
         3.1. Company Overview
         3.2. Product Portfolio
         3.3. SWOT Analysis
         3.4. Financial Overview
         3.5. Strategic Overview
        4. Cerner
         4.1. Company Overview
         4.2. Product Portfolio
         4.3. SWOT Analysis
         4.4. Financial Overview
         4.5. Strategic Overview
        5. 3M
         5.1. Company Overview
         5.2. Product Portfolio
         5.3. SWOT Analysis
         5.4. Financial Overview
         5.5. Strategic Overview
        6. AWS
         6.1. Company Overview
         6.2. Product Portfolio
         6.3. SWOT Analysis
         6.4. Financial Overview
         6.5. Strategic Overview
        7. Inovalon
         7.1. Company Overview
         7.2. Product Portfolio
         7.3. SWOT Analysis
         7.4. Financial Overview
         7.5. Strategic Overview
        8. Dolbey
         8.1. Company Overview
         8.2. Product Portfolio
         8.3. SWOT Analysis
         8.4. Financial Overview
         8.5. Strategic Overview
        9. Averbis
         9.1. Company Overview
         9.2. Product Portfolio
         9.3. SWOT Analysis
         9.4. Financial Overview
         9.5. Strategic Overview
        10. Linguamatics
         10.1. Company Overview
         10.2. Product Portfolio
         10.3. SWOT Analysis
         10.4. Financial Overview
         10.5. Strategic Overview
        11. Apixio
         11.1. Company Overview
         11.2. Product Portfolio
         11.3. SWOT Analysis
         11.4. Financial Overview
         11.5. Strategic Overview
        12. Clinithink
         12.1. Company Overview
         12.2. Product Portfolio
         12.3. SWOT Analysis
         12.4. Financial Overview
         12.5. Strategic Overview
        13. Lexalytics
         13.1. Company Overview
         13.2. Product Portfolio
         13.3. SWOT Analysis
         13.4. Financial Overview
         13.5. Strategic Overview
        14. Health Fidelty
         14.1. Company Overview
         14.2. Product Portfolio
         14.3. SWOT Analysis
         14.4. Financial Overview
         14.5. Strategic Overview
        15. Wave Health Technologies
         15.1. Company Overview
         15.2. Product Portfolio
         15.3. SWOT Analysis
         15.4. Financial Overview
         15.5. Strategic Overview
        16. Corti
         16.1. Company Overview
         16.2. Product Portfolio
         16.3. SWOT Analysis
         16.4. Financial Overview
         16.5. Strategic Overview
        17. CloudMedx
         17.1. Company Overview
         17.2. Product Portfolio
         17.3. SWOT Analysis
         17.4. Financial Overview
         17.5. Strategic Overview  

  • 20.   Pre and Post COVID-19 Impact
    •   1. Positive influence on the healthcare industry
        2. The financial disruption of the manufacturing sector
        3. Impact of COVID-19 on emerging companies
        4. Significant mandates in the healthcare regulations initiated by administrations
        5. The overall economic slowdown of the developing and developed nations
  • 21.   FutureWise SME Key Takeaway Points for Client
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