Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Healthcare Natural Language Processing (NLP) Market by Type (Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing), By Application (Hospitals, Clinics) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Healthcare Natural Language Processing (NLP) Market by Type (Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing), By Application (Hospitals, Clinics) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 309638 4200 Service & Software 377 174 Pages 4.6 (41)
                                          

Market Overview:


The global healthcare natural language processing (NLP) market is expected to register a CAGR of 16.8% during the forecast period, 2018-2030. The growth in this market can be attributed to the increasing demand for NLP solutions from hospitals and clinics across the globe. Additionally, rising adoption of NLP by small and medium-sized enterprises (SMEs) is also contributing to the growth of this market. However, lack of awareness about benefits offered by NLP solutions is restraining the growth of this market to some extent. On the basis of type, machine translation dominates the global healthcare NLP market owing to its ability to translate text from one language into another accurately and quickly. Information extraction is expected to be fastest growing segment during forecast period due its ability identify specific information from large unstructured data sets with high accuracy. On basis on application, hospitals are expected dominate healthcare NLP market throughout forecast period as they require sophisticated solutions that can manage voluminous patient data effectively and improve operational efficiency.


Global Healthcare Natural Language Processing (NLP) Industry Outlook


Product Definition:


Healthcare Natural Language Processing (NLP) is the application of natural language processing (NLP) techniques to healthcare data. NLP is the ability of computers to understand human language and extract meaning from it. Healthcare NLP can be used to improve patient care by extracting information from clinical notes, medication orders, discharge summaries, and other sources of text data. It can also be used to identify trends in healthcare data and improve decision-making.


Machine Translation:


Natural language processing is the field of study that involves the use of computers to process human language. NLP has applications in various subfields such as information retrieval, text mining, automatic document generation, and others. The application areas are expanding rapidly due to technological advancements and innovations in artificial intelligence (AI).


Numerous companies are investing heavily in research & development activities for Artificial Intelligence (AI) owing to its potential benefits across several industry verticals including healthcare.


Information Extraction:


The global Information Extraction and it's usage in Healthcare NLP market size was valued at USD 955.0 million in 2016 and is expected to grow at a CAGR of XX% over the forecast period. The rising demand for Natural Language Processing (NLP) technology across various healthcare applications such as drug discovery, clinical trial data analysis, medical writing, patient & physician documentation, information extraction from electronic health records (EHR), etc.


Application Insights:


The market is segmented into hospitals, clinics, and other applications such as laboratories and imaging centers. The hospitals segment dominated the overall application market in 2017 owing to increasing demand for NLP solutions in medical communication applications such as electronic health records integration. Natural language processing helps detect patterns from massive data sets stored in electronic health records by identifying anomalies or abnormalities that may be indicative of a disease process or condition. Such trends can then be used to trigger alerts for further investigation thus improving patient safety.


The clinics segment is expected to exhibit the highest growth over the forecast period due to an increase in demand for NLP solutions by medical professionals working at small group practices and solo practitioners who are now able to conduct meaningful conversations with patients through their mobile phones or computers using natural language processing software programs combined with telehealth technology platforms such as Electronic Health Records (EHRs) and Telemedicine Systems (TMS).


Regional Analysis:


North America dominated the global market in 2017. This can be attributed to the presence of a large number of players, increased funding for natural language processing research, and high adoption rate of advanced technologies across various sectors such as healthcare. Moreover, increasing demand for information extraction solutions due to rising volumes of unstructured data is expected to drive regional growth over the forecast period.


Asia Pacific is anticipated to witness lucrative growth during the forecast period owing to growing investments by prominent market players in this region along with increasing government spending on healthcare infrastructure development and services improvement. Growing awareness about early diagnosis among patients is likely boost regional demand during the forecast period as well.


Growth Factors:


  • Increasing demand for NLP-based clinical decision support systems from healthcare providers to improve the quality and efficiency of patient care.
  • Rising number of hospitals and clinics adopting NLP-based EHR systems to manage patient data more effectively.
  • Proliferation of big data in healthcare sector is expected to drive the demand for NLP solutions over the next few years.
  • Growing popularity of text analytics in healthcare industry for analyzing unstructured data sets to identify trends and patterns 5

Scope Of The Report

Report Attributes

Report Details

Report Title

Healthcare Natural Language Processing (NLP) Market Research Report

By Type

Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing

By Application

Hospitals, Clinics

By Companies

NLP Technologies, NEC, Apple, Microsoft, Dolbey, IBM, NetBase, SAS, Verint Systems, Linguamatics, Artificial Solutions

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

174

Number of Tables & Figures

122

Customization Available

Yes, the report can be customized as per your need.


Global Healthcare Natural Language Processing (NLP) Market Report Segments:

The global Healthcare Natural Language Processing (NLP) market is segmented on the basis of:

Types

Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

Hospitals, Clinics

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. NLP Technologies
  2. NEC
  3. Apple
  4. Microsoft
  5. Dolbey
  6. IBM
  7. NetBase
  8. SAS
  9. Verint Systems
  10. Linguamatics
  11. Artificial Solutions

Global Healthcare Natural Language Processing (NLP) Market Overview


Highlights of The Healthcare Natural Language Processing (NLP) Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Machine Translation
    2. Information Extraction
    3. Automatic Summarization
    4. Text and Voice Processing
  1. By Application:

    1. Hospitals
    2. Clinics
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Healthcare Natural Language Processing (NLP) Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

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Global Healthcare Natural Language Processing (NLP) Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Healthcare NLP is the application of natural language processing techniques to healthcare data. It can be used to identify and understand patient concerns, preferences, and needs; create personalized care plans; and recommend treatments or therapies.

Some of the major companies in the healthcare natural language processing (nlp) market are NLP Technologies, NEC, Apple, Microsoft, Dolbey, IBM, NetBase, SAS, Verint Systems, Linguamatics, Artificial Solutions.

The healthcare natural language processing (nlp) market is expected to register a CAGR of 16.8%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Healthcare Natural Language Processing (NLP) Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Healthcare Natural Language Processing (NLP) Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Healthcare Natural Language Processing (NLP) Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Healthcare Natural Language Processing (NLP) Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Healthcare Natural Language Processing (NLP) Market Size & Forecast, 2020-2028       4.5.1 Healthcare Natural Language Processing (NLP) Market Size and Y-o-Y Growth       4.5.2 Healthcare Natural Language Processing (NLP) Market Absolute $ Opportunity

Chapter 5 Global  Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2  Market Size Forecast by Type
      5.2.1 Machine Translation
      5.2.2 Information Extraction
      5.2.3 Automatic Summarization
      5.2.4 Text and Voice Processing
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global  Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2  Market Size Forecast by Applications
      6.2.1 Hospitals
      6.2.2 Clinics
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Healthcare Natural Language Processing (NLP) Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Healthcare Natural Language Processing (NLP) Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America  Analysis and Forecast
   9.1 Introduction
   9.2 North America  Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America  Market Size Forecast by Type
      9.6.1 Machine Translation
      9.6.2 Information Extraction
      9.6.3 Automatic Summarization
      9.6.4 Text and Voice Processing
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America  Market Size Forecast by Applications
      9.10.1 Hospitals
      9.10.2 Clinics
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe  Analysis and Forecast
   10.1 Introduction
   10.2 Europe  Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe  Market Size Forecast by Type
      10.6.1 Machine Translation
      10.6.2 Information Extraction
      10.6.3 Automatic Summarization
      10.6.4 Text and Voice Processing
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe  Market Size Forecast by Applications
      10.10.1 Hospitals
      10.10.2 Clinics
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific  Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific  Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific  Market Size Forecast by Type
      11.6.1 Machine Translation
      11.6.2 Information Extraction
      11.6.3 Automatic Summarization
      11.6.4 Text and Voice Processing
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific  Market Size Forecast by Applications
      11.10.1 Hospitals
      11.10.2 Clinics
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America  Analysis and Forecast
   12.1 Introduction
   12.2 Latin America  Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America  Market Size Forecast by Type
      12.6.1 Machine Translation
      12.6.2 Information Extraction
      12.6.3 Automatic Summarization
      12.6.4 Text and Voice Processing
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America  Market Size Forecast by Applications
      12.10.1 Hospitals
      12.10.2 Clinics
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA)  Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA)  Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA)  Market Size Forecast by Type
      13.6.1 Machine Translation
      13.6.2 Information Extraction
      13.6.3 Automatic Summarization
      13.6.4 Text and Voice Processing
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA)  Market Size Forecast by Applications
      13.10.1 Hospitals
      13.10.2 Clinics
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Healthcare Natural Language Processing (NLP) Market: Competitive Dashboard
   14.2 Global Healthcare Natural Language Processing (NLP) Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 NLP Technologies
      14.3.2 NEC
      14.3.3 Apple
      14.3.4 Microsoft
      14.3.5 Dolbey
      14.3.6 IBM
      14.3.7 NetBase
      14.3.8 SAS
      14.3.9 Verint Systems
      14.3.10 Linguamatics
      14.3.11 Artificial Solutions

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