Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market 2022 by Company, Regions, Type and Application, Forecast to 2028

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Published Date: 07 Jan 2022

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Description
Table of Contents
Table of Figures
Research Methodology
Companies Mentioned
Related Reports
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Description

The Natural Language Processing (NLP) in Healthcare and Life Sciences market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

According to our (Global Info Research) latest study, due to COVID-19 pandemic, the global Natural Language Processing (NLP) in Healthcare and Life Sciences market size is estimated to be worth US$ 1878.7 million in 2021 and is forecast to a readjusted size of USD 5418.1 million by 2028 with a CAGR of 16.3% during review period. Electronic Health Records (EHR) accounting for  % of the Natural Language Processing (NLP) in Healthcare and Life Sciences global market in 2021, is projected to value USD   million by 2028, growing at a  % CAGR in next six years. While Machine Translation segment is altered to a  % CAGR between 2022 and 2028.

Global key companies of Natural Language Processing (NLP) in Healthcare and Life Sciences include 3M (Minnesota), Cerner Corporation (Missouri), IBM Corporation (New York), Microsoft Corporation (Washington), and Nuance Communications (Massachusetts), etc. In terms of revenue, the global top four players hold a share over  % in 2021.

Market segmentation
Natural Language Processing (NLP) in Healthcare and Life Sciences market is split by Type and by Application. For the period 2017-2028, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type, covers
    Machine Translation
    Information Extraction
    Automatic Summarization
    Text and Voice Processing
    Others

Market segment by Application, can be divided into
    Electronic Health Records (EHR)
    Computer-Assisted Coding (CAC)
    Clinician Document
    Others

Market segment by players, this report covers
    3M (Minnesota)
    Cerner Corporation (Missouri)
    IBM Corporation (New York)
    Microsoft Corporation (Washington)
    Nuance Communications (Massachusetts)
    M*Modal (Tennessee)
    Health Fidelity (California)
    Dolbey Systems (Ohio)
    Linguamatics (Cambridge)
    Apixio (San Mateo)

Market segment by regions, regional analysis covers
    North America (United States, Canada, and Mexico)
    Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
    Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia, and Rest of Asia-Pacific)
    South America (Brazil, Argentina, Rest of South America)
    Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 12 chapters:
Chapter 1, to describe Natural Language Processing (NLP) in Healthcare and Life Sciences product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Natural Language Processing (NLP) in Healthcare and Life Sciences, with revenue, gross margin and global market share of Natural Language Processing (NLP) in Healthcare and Life Sciences from 2019 to 2022.
Chapter 3, the Natural Language Processing (NLP) in Healthcare and Life Sciences competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2017 to 2028.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2017 to 2022.and Natural Language Processing (NLP) in Healthcare and Life Sciences market forecast, by regions, type and application, with revenue, from 2023 to 2028.
Chapter 11 and 12, to describe Natural Language Processing (NLP) in Healthcare and Life Sciences research findings and conclusion, appendix and data source.

Table of Contents

1 Market Overview
    1.1 Product Overview and Scope of Natural Language Processing (NLP) in Healthcare and Life Sciences
    1.2 Classification of Natural Language Processing (NLP) in Healthcare and Life Sciences by Type
        1.2.1 Overview: Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Type: 2017 Versus 2021 Versus 2028
        1.2.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Type in 2021
        1.2.3 Machine Translation
        1.2.4 Information Extraction
        1.2.5 Automatic Summarization
        1.2.6 Text and Voice Processing
        1.2.7 Others
    1.3 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market by Application
        1.3.1 Overview: Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application: 2017 Versus 2021 Versus 2028
        1.3.2 Electronic Health Records (EHR)
        1.3.3 Computer-Assisted Coding (CAC)
        1.3.4 Clinician Document
        1.3.5 Others
    1.4 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size & Forecast
    1.5 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast by Region
        1.5.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Region: 2017 VS 2021 VS 2028
        1.5.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Region, (2017-2022)
        1.5.3 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Prospect (2017-2028)
        1.5.4 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Prospect (2017-2028)
        1.5.5 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Prospect (2017-2028)
        1.5.6 South America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Prospect (2017-2028)
        1.5.7 Middle East and Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Prospect (2017-2028)
    1.6 Market Drivers, Restraints and Trends
        1.6.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Drivers
        1.6.2 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Restraints
        1.6.3 Natural Language Processing (NLP) in Healthcare and Life Sciences Trends Analysis

2 Company Profiles
    2.1 3M (Minnesota)
        2.1.1 3M (Minnesota) Details
        2.1.2 3M (Minnesota) Major Business
        2.1.3 3M (Minnesota) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.1.4 3M (Minnesota) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.1.5 3M (Minnesota) Recent Developments and Future Plans
    2.2 Cerner Corporation (Missouri)
        2.2.1 Cerner Corporation (Missouri) Details
        2.2.2 Cerner Corporation (Missouri) Major Business
        2.2.3 Cerner Corporation (Missouri) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.2.4 Cerner Corporation (Missouri) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.2.5 Cerner Corporation (Missouri) Recent Developments and Future Plans
    2.3 IBM Corporation (New York)
        2.3.1 IBM Corporation (New York) Details
        2.3.2 IBM Corporation (New York) Major Business
        2.3.3 IBM Corporation (New York) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.3.4 IBM Corporation (New York) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.3.5 IBM Corporation (New York) Recent Developments and Future Plans
    2.4 Microsoft Corporation (Washington)
        2.4.1 Microsoft Corporation (Washington) Details
        2.4.2 Microsoft Corporation (Washington) Major Business
        2.4.3 Microsoft Corporation (Washington) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.4.4 Microsoft Corporation (Washington) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.4.5 Microsoft Corporation (Washington) Recent Developments and Future Plans
    2.5 Nuance Communications (Massachusetts)
        2.5.1 Nuance Communications (Massachusetts) Details
        2.5.2 Nuance Communications (Massachusetts) Major Business
        2.5.3 Nuance Communications (Massachusetts) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.5.4 Nuance Communications (Massachusetts) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.5.5 Nuance Communications (Massachusetts) Recent Developments and Future Plans
    2.6 M*Modal (Tennessee)
        2.6.1 M*Modal (Tennessee) Details
        2.6.2 M*Modal (Tennessee) Major Business
        2.6.3 M*Modal (Tennessee) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.6.4 M*Modal (Tennessee) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.6.5 M*Modal (Tennessee) Recent Developments and Future Plans
    2.7 Health Fidelity (California)
        2.7.1 Health Fidelity (California) Details
        2.7.2 Health Fidelity (California) Major Business
        2.7.3 Health Fidelity (California) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.7.4 Health Fidelity (California) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.7.5 Health Fidelity (California) Recent Developments and Future Plans
    2.8 Dolbey Systems (Ohio)
        2.8.1 Dolbey Systems (Ohio) Details
        2.8.2 Dolbey Systems (Ohio) Major Business
        2.8.3 Dolbey Systems (Ohio) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.8.4 Dolbey Systems (Ohio) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.8.5 Dolbey Systems (Ohio) Recent Developments and Future Plans
    2.9 Linguamatics (Cambridge)
        2.9.1 Linguamatics (Cambridge) Details
        2.9.2 Linguamatics (Cambridge) Major Business
        2.9.3 Linguamatics (Cambridge) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.9.4 Linguamatics (Cambridge) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.9.5 Linguamatics (Cambridge) Recent Developments and Future Plans
    2.10 Apixio (San Mateo)
        2.10.1 Apixio (San Mateo) Details
        2.10.2 Apixio (San Mateo) Major Business
        2.10.3 Apixio (San Mateo) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
        2.10.4 Apixio (San Mateo) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.10.5 Apixio (San Mateo) Recent Developments and Future Plans

3 Market Competition, by Players
    3.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Share by Players (2019, 2020, 2021, and 2022)
    3.2 Market Concentration Rate
        3.2.1 Top 3 Natural Language Processing (NLP) in Healthcare and Life Sciences Players Market Share in 2021
        3.2.2 Top 10 Natural Language Processing (NLP) in Healthcare and Life Sciences Players Market Share in 2021
        3.2.3 Market Competition Trend
    3.3 Natural Language Processing (NLP) in Healthcare and Life Sciences Players Head Office, Products and Services Provided
    3.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Mergers & Acquisitions
    3.5 Natural Language Processing (NLP) in Healthcare and Life Sciences New Entrants and Expansion Plans

4 Market Size Segment by Type
    4.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Market Share by Type (2017-2022)
    4.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Forecast by Type (2023-2028)

5 Market Size Segment by Application
    5.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Application (2017-2022)
    5.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Forecast by Application (2023-2028)

6 North America by Country, by Type, and by Application
    6.1 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2028)
    6.2 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2028)
    6.3 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Country
        6.3.1 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2017-2028)
        6.3.2 United States Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        6.3.3 Canada Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        6.3.4 Mexico Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)

7 Europe by Country, by Type, and by Application
    7.1 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2028)
    7.2 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2028)
    7.3 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Country
        7.3.1 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2017-2028)
        7.3.2 Germany Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        7.3.3 France Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        7.3.4 United Kingdom Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        7.3.5 Russia Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        7.3.6 Italy Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)

8 Asia-Pacific by Region, by Type, and by Application
    8.1 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2028)
    8.2 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2028)
    8.3 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Region
        8.3.1 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Region (2017-2028)
        8.3.2 China Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        8.3.3 Japan Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        8.3.4 South Korea Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        8.3.5 India Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        8.3.6 Southeast Asia Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        8.3.7 Australia Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)

9 South America by Country, by Type, and by Application
    9.1 South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2028)
    9.2 South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2028)
    9.3 South America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Country
        9.3.1 South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2017-2028)
        9.3.2 Brazil Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        9.3.3 Argentina Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)

10 Middle East & Africa by Country, by Type, and by Application
    10.1 Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2028)
    10.2 Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2028)
    10.3 Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Country
        10.3.1 Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2017-2028)
        10.3.2 Turkey Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        10.3.3 Saudi Arabia Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)
        10.3.4 UAE Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Forecast (2017-2028)

11 Research Findings and Conclusion

12 Appendix
    12.1 Methodology
    12.2 Research Process and Data Source
    12.3 Disclaimer

Table of Figures

List of Tables
    Table 1. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type, (USD Million), 2017 VS 2021 VS 2028
    Table 2. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application, (USD Million), 2017 VS 2021 VS 2028
    Table 3. Global Market Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Million USD) Comparison by Region (2017 VS 2021 VS 2028)
    Table 4. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million) by Region (2017-2022)
    Table 5. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Region (2023-2028)
    Table 6. 3M (Minnesota) Corporate Information, Head Office, and Major Competitors
    Table 7. 3M (Minnesota) Major Business
    Table 8. 3M (Minnesota) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 9. 3M (Minnesota) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 10. Cerner Corporation (Missouri) Corporate Information, Head Office, and Major Competitors
    Table 11. Cerner Corporation (Missouri) Major Business
    Table 12. Cerner Corporation (Missouri) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 13. Cerner Corporation (Missouri) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 14. IBM Corporation (New York) Corporate Information, Head Office, and Major Competitors
    Table 15. IBM Corporation (New York) Major Business
    Table 16. IBM Corporation (New York) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 17. IBM Corporation (New York) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 18. Microsoft Corporation (Washington) Corporate Information, Head Office, and Major Competitors
    Table 19. Microsoft Corporation (Washington) Major Business
    Table 20. Microsoft Corporation (Washington) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 21. Microsoft Corporation (Washington) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 22. Nuance Communications (Massachusetts) Corporate Information, Head Office, and Major Competitors
    Table 23. Nuance Communications (Massachusetts) Major Business
    Table 24. Nuance Communications (Massachusetts) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 25. Nuance Communications (Massachusetts) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 26. M*Modal (Tennessee) Corporate Information, Head Office, and Major Competitors
    Table 27. M*Modal (Tennessee) Major Business
    Table 28. M*Modal (Tennessee) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 29. M*Modal (Tennessee) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 30. Health Fidelity (California) Corporate Information, Head Office, and Major Competitors
    Table 31. Health Fidelity (California) Major Business
    Table 32. Health Fidelity (California) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 33. Health Fidelity (California) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 34. Dolbey Systems (Ohio) Corporate Information, Head Office, and Major Competitors
    Table 35. Dolbey Systems (Ohio) Major Business
    Table 36. Dolbey Systems (Ohio) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 37. Dolbey Systems (Ohio) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 38. Linguamatics (Cambridge) Corporate Information, Head Office, and Major Competitors
    Table 39. Linguamatics (Cambridge) Major Business
    Table 40. Linguamatics (Cambridge) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 41. Linguamatics (Cambridge) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 42. Apixio (San Mateo) Corporate Information, Head Office, and Major Competitors
    Table 43. Apixio (San Mateo) Major Business
    Table 44. Apixio (San Mateo) Natural Language Processing (NLP) in Healthcare and Life Sciences Product and Solutions
    Table 45. Apixio (San Mateo) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)
    Table 46. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million) by Players (2019, 2020, 2021, and 2022)
    Table 47. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Share by Players (2019, 2020, 2021, and 2022)
    Table 48. Breakdown of Natural Language Processing (NLP) in Healthcare and Life Sciences by Company Type (Tier 1, Tier 2 and Tier 3)
    Table 49. Natural Language Processing (NLP) in Healthcare and Life Sciences Players Head Office, Products and Services Provided
    Table 50. Natural Language Processing (NLP) in Healthcare and Life Sciences Mergers & Acquisitions in the Past Five Years
    Table 51. Natural Language Processing (NLP) in Healthcare and Life Sciences New Entrants and Expansion Plans
    Table 52. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million) by Type (2017-2022)
    Table 53. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Share by Type (2017-2022)
    Table 54. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Forecast by Type (2023-2028)
    Table 55. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2022)
    Table 56. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Forecast by Application (2023-2028)
    Table 57. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2022) & (USD Million)
    Table 58. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2023-2028) & (USD Million)
    Table 59. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2022) & (USD Million)
    Table 60. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2023-2028) & (USD Million)
    Table 61. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2017-2022) & (USD Million)
    Table 62. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2023-2028) & (USD Million)
    Table 63. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2022) & (USD Million)
    Table 64. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2023-2028) & (USD Million)
    Table 65. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2022) & (USD Million)
    Table 66. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2023-2028) & (USD Million)
    Table 67. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2017-2022) & (USD Million)
    Table 68. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2023-2028) & (USD Million)
    Table 69. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2022) & (USD Million)
    Table 70. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2023-2028) & (USD Million)
    Table 71. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2022) & (USD Million)
    Table 72. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2023-2028) & (USD Million)
    Table 73. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Region (2017-2022) & (USD Million)
    Table 74. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Region (2023-2028) & (USD Million)
    Table 75. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2022) & (USD Million)
    Table 76. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2023-2028) & (USD Million)
    Table 77. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2022) & (USD Million)
    Table 78. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2023-2028) & (USD Million)
    Table 79. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2017-2022) & (USD Million)
    Table 80. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2023-2028) & (USD Million)
    Table 81. Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2017-2022) & (USD Million)
    Table 82. Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Type (2023-2028) & (USD Million)
    Table 83. Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2017-2022) & (USD Million)
    Table 84. Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Application (2023-2028) & (USD Million)
    Table 85. Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2017-2022) & (USD Million)
    Table 86. Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue by Country (2023-2028) & (USD Million)
List of Figures
    Figure 1. Natural Language Processing (NLP) in Healthcare and Life Sciences Picture
    Figure 2. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Type in 2021
    Figure 3. Machine Translation
    Figure 4. Information Extraction
    Figure 5. Automatic Summarization
    Figure 6. Text and Voice Processing
    Figure 7. Others
    Figure 8. Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Application in 2021
    Figure 9. Electronic Health Records (EHR) Picture
    Figure 10. Computer-Assisted Coding (CAC) Picture
    Figure 11. Clinician Document Picture
    Figure 12. Others Picture
    Figure 13. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size, (USD Million): 2017 VS 2021 VS 2028
    Figure 14. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Forecast (2017-2028) & (USD Million)
    Figure 15. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Region (2017-2028)
    Figure 16. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Region in 2021
    Figure 17. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million) and Growth Rate (2017-2028)
    Figure 18. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million) and Growth Rate (2017-2028)
    Figure 19. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million) and Growth Rate (2017-2028)
    Figure 20. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million) and Growth Rate (2017-2028)
    Figure 21. Middle East and Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (USD Million) and Growth Rate (2017-2028)
    Figure 22. Natural Language Processing (NLP) in Healthcare and Life Sciences Market Drivers
    Figure 23. Natural Language Processing (NLP) in Healthcare and Life Sciences Market Restraints
    Figure 24. Natural Language Processing (NLP) in Healthcare and Life Sciences Market Trends
    Figure 25. 3M (Minnesota) Recent Developments and Future Plans
    Figure 26. Cerner Corporation (Missouri) Recent Developments and Future Plans
    Figure 27. IBM Corporation (New York) Recent Developments and Future Plans
    Figure 28. Microsoft Corporation (Washington) Recent Developments and Future Plans
    Figure 29. Nuance Communications (Massachusetts) Recent Developments and Future Plans
    Figure 30. M*Modal (Tennessee) Recent Developments and Future Plans
    Figure 31. Health Fidelity (California) Recent Developments and Future Plans
    Figure 32. Dolbey Systems (Ohio) Recent Developments and Future Plans
    Figure 33. Linguamatics (Cambridge) Recent Developments and Future Plans
    Figure 34. Apixio (San Mateo) Recent Developments and Future Plans
    Figure 35. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Share by Players in 2021
    Figure 36. Natural Language Processing (NLP) in Healthcare and Life Sciences Market Share by Company Type (Tier 1, Tier 2 and Tier 3) in 2021
    Figure 37. Global Top 3 Players Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share in 2021
    Figure 38. Global Top 10 Players Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share in 2021
    Figure 39. Key Players Market Share Trend (Top 3 Market Share: 2020 VS 2021 VS 2022)
    Figure 40. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Share by Type in 2021
    Figure 41. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Share Forecast by Type (2023-2028)
    Figure 42. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Share by Application in 2021
    Figure 43. Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Share Forecast by Application (2023-2028)
    Figure 44. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Type (2017-2028)
    Figure 45. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Application (2017-2028)
    Figure 46. North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Country (2017-2028)
    Figure 47. United States Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 48. Canada Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 49. Mexico Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 50. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Type (2017-2028)
    Figure 51. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Application (2017-2028)
    Figure 52. Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Country (2017-2028)
    Figure 53. Germany Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 54. France Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 55. United Kingdom Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 56. Russia Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 57. Italy Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 58. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Type (2017-2028)
    Figure 59. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Application (2017-2028)
    Figure 60. Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Region (2017-2028)
    Figure 61. China Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 62. Japan Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 63. South Korea Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 64. India Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 65. Southeast Asia Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 66. Australia Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 67. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Type (2017-2028)
    Figure 68. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Application (2017-2028)
    Figure 69. South America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Country (2017-2028)
    Figure 70. Brazil Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 71. Argentina Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 72. Middle East and Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Type (2017-2028)
    Figure 73. Middle East and Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Sales Market Share by Application (2017-2028)
    Figure 74. Middle East and Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Market Share by Country (2017-2028)
    Figure 75. Turkey Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 76. Saudi Arabia Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 77. UAE Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue and Growth Rate (2017-2028) & (USD Million)
    Figure 78. Methodology
    Figure 79. Research Process and Data Source

Research Methodology

Client Requirements

Review and analyze client requirements

Discussion of all the project requirements and queries

Flexibility Check

Project Feasibility Analysis

Finalizing tentative research programme

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

Determination of key drivers, restraints, challenge, and opportunity

Identifies market needs and trends

Market Size Estimation & Forecast

Estimation of historical data based on secondary and primary data

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

Consideration of geography, region-specific product/service demand for region segments

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

Data Source

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

Collection of data

Cumulating and collating the essential qualitative and quantitative data

Generation of report in client requested format by research analysts

Reviews by expert analysts

Final quality check

Clarifying queries

Receiving feedback

Ensuring satisfaction

01 Identification of data

This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.
02 Evaluation of Market Dynamic

This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.
03 Collection of Data

This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.
04 Collaboration of Data

This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.
05 Verification and Analysis

This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

Companies Mentioned

3M (Minnesota)
Cerner Corporation (Missouri)
IBM Corporation (New York)
Microsoft Corporation (Washington)
Nuance Communications (Massachusetts)
M*Modal (Tennessee)
Health Fidelity (California)
Dolbey Systems (Ohio)
Linguamatics (Cambridge)
Apixio (San Mateo)

Related Reports

Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market 2021 by Company, Regions, Type and Application, Forecast to 2026

Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market 2021 by Company, Regions, Type and Application, Forecast to 2026

date 11 Feb 2021

date Service & Software

The Natural Language Processing (NLP) in Healthcare and Life Sciences market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

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