Market Overview:
The global natural language processing (NLP) in healthcare market is expected to grow at a CAGR of 16.5% from 2018 to 2030. The market was valued at USD 1,362.8 million in 2018 and is projected to reach USD 5,746.4 million by 2030. By type, machine translation is the most commonly used type, with about 44% market share in 2018., followed by information extraction and automatic summarization.
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Product Definition:
Natural Language Processing (NLP) is the application of artificial intelligence technologies to automatically interpret and make sense of human language. NLP is important in healthcare because it can be used to help doctors diagnose patients, understand patient notes, and research new treatments.
Machine Translation:
Machine translation is a computer-assisted process of converting the content from one language to another. The technology was developed for translating documents between different languages; however, it has found its use in other applications as well. Machine translation is used by companies that have a global workforce and want to ensure that their employees are comfortable with using the same communication tools while working on different regional projects. It also helps in reducing costs associated with cross-cultural communications, thereby increasing productivity across organizations.
Information Extraction:
The Information Extraction (IE) is the process of obtaining information from unstructured data with the help of extraction rules. The information extracted can be in the form of concepts, relationships, events or any other meaningful units. The concept is then used for various applications such as computer programming and NLP in healthcare market.
NLP in Healthcare uses concepts obtained through IE to analyze text for various purposes such as sentiment analysis, topic tagging, named entity recognition and others.
Application Insights:
The natural language processing in EHR segment dominated the market in 2018. The growing demand for NLP tools to extract information from electronic health records is one of the major factors contributing to this growth. Electronic health records are widely used across various applications such as medical imaging, laboratory testing, and medication management. With a rise in prevalence of chronic diseases and an increase in number of older population across the globe, there is a high demand for effective healthcare delivery systems that can help them access required information from different sources., Automatic Summarization plays an important role during Natural Language Processing (NLP) process., Other applications include text-based summarization as well as voice-based summarization., By region, Europe held around 54% share of global revenue in 2018 due to presence of prominent companies such as Microsoft Corporation; however Asia Pacific is expected to be fastest growing region with CAGR exceeding 9% over the forecast period due to increasing investments by governments and private institutions.
Regional Analysis:
North America dominated the global market in 2018. This can be attributed to the presence of a large number of key players such as IBM Corporation, Google LLC, Microsoft Corporation and many more in this region. Moreover, increasing government funding for healthcare IT systems development is also one of the major factors contributing to market growth in this region. For instance, according to an article published by Modern Healthcare Network Inc., from 2015 till 2016 U.S Department of Health and Human Services (HHS) invested USD X trillion for implementing EHR programs across hospitals & clinics that ranged from small practices to large hospitals & health networks., Furthermore Asia Pacific is expected to grow at a lucrative CAGR over the forecast period owing to rising demand for natural language processing solutions among several Asian countries such as China and India due their developing economy along with growing awareness about advanced technologies., Moreover availability of low-cost skilled workforce coupled with rapid technological advancements are some other factors driving regional growth.
Growth Factors:
- Increasing demand for NLP in the healthcare sector from patients, caregivers, and providers for enhanced communication and care.
- The increasing use of NLP by healthcare organizations to improve patient engagement, care coordination, and clinical decision support.
- The growing demand for NLP-based analytics to help identify trends and patterns in large volumes of text data generated by patients and providers.
- Advances in machine learning algorithms that are helping to improve the accuracy of NLP-based analytics tools used in the healthcare sector .
Scope Of The Report
Report Attributes
Report Details
Report Title
Natural Language Processing (NLP) in Healthcare Market Research Report
By Type
Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing, Other, By type, machine translation is the most commonly used type, with about 44% market share in 2018., Natural Language Processing (NLP) in Healthcar
By Application
Electronic Health Records (EHR), Computer-Assisted Coding (CAC), Clinician Document, Other, By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
By Companies
3M, Linguamatics, Amazon AWS, Nuance Communications, SAS, IBM, Microsoft Corporation, Averbis, Health Fidelity, Dolbey Systems, Natural Language Processing (NLP) in Healthcar
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
242
Number of Tables & Figures
170
Customization Available
Yes, the report can be customized as per your need.
Global Natural Language Processing (NLP) in Healthcare Market Report Segments:
The global Natural Language Processing (NLP) in Healthcare market is segmented on the basis of:
Types
Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing, Other, By type, machine translation is the most commonly used type, with about 44% market share in 2018., Natural Language Processing (NLP) in Healthcar
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
Electronic Health Records (EHR), Computer-Assisted Coding (CAC), Clinician Document, Other, By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
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:
- 3M
- Linguamatics
- Amazon AWS
- Nuance Communications
- SAS
- IBM
- Microsoft Corporation
- Averbis
- Health Fidelity
- Dolbey Systems
- Natural Language Processing (NLP) in Healthcar
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Highlights of The Natural Language Processing (NLP) in Healthcare Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Machine Translation
- Information Extraction
- Automatic Summarization
- Text and Voice Processing
- Other
- By type, machine translation is the most commonly used type, with about 44% market share in 2018.
- Natural Language Processing (NLP) in Healthcar
- By Application:
- Electronic Health Records (EHR)
- Computer-Assisted Coding (CAC)
- Clinician Document
- Other
- By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Natural Language Processing (NLP) in Healthcare 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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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Natural language processing (NLP) is a field of computer science and artificial intelligence that deals with the ability of computers to understand human language. NLP can be used in healthcare to help doctors diagnose and treat patients, by understanding their medical history and symptoms.
Some of the key players operating in the natural language processing (nlp) in healthcare market are 3M, Linguamatics, Amazon AWS, Nuance Communications, SAS, IBM, Microsoft Corporation, Averbis, Health Fidelity, Dolbey Systems, Natural Language Processing (NLP) in Healthcar.
The natural language processing (nlp) in healthcare market is expected to register a CAGR of 16.5%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Natural Language Processing (NLP) in Healthcare Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Natural Language Processing (NLP) in Healthcare Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Natural Language Processing (NLP) in Healthcare Market - Supply Chain
4.5. Global Natural Language Processing (NLP) in Healthcare Market Forecast
4.5.1. Natural Language Processing (NLP) in Healthcare Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Natural Language Processing (NLP) in Healthcare Market Size (000 Units) and Y-o-Y Growth
4.5.3. Natural Language Processing (NLP) in Healthcare Market Absolute $ Opportunity
5. Global Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Type
5.3.1. Machine Translation
5.3.2. Information Extraction
5.3.3. Automatic Summarization
5.3.4. Text and Voice Processing
5.3.5. Other
5.3.6. By type, machine translation is the most commonly used type, with about 44% market share in 2018.
5.3.7. Natural Language Processing (NLP) in Healthcar
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Application
6.3.1. Electronic Health Records (EHR)
6.3.2. Computer-Assisted Coding (CAC)
6.3.3. Clinician Document
6.3.4. Other
6.3.5. By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Natural Language Processing (NLP) in Healthcare Demand Share Forecast, 2019-2026
9. North America Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Application
9.4.1. Electronic Health Records (EHR)
9.4.2. Computer-Assisted Coding (CAC)
9.4.3. Clinician Document
9.4.4. Other
9.4.5. By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Type
9.7.1. Machine Translation
9.7.2. Information Extraction
9.7.3. Automatic Summarization
9.7.4. Text and Voice Processing
9.7.5. Other
9.7.6. By type, machine translation is the most commonly used type, with about 44% market share in 2018.
9.7.7. Natural Language Processing (NLP) in Healthcar
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Natural Language Processing (NLP) in Healthcare Demand Share Forecast, 2019-2026
10. Latin America Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Application
10.4.1. Electronic Health Records (EHR)
10.4.2. Computer-Assisted Coding (CAC)
10.4.3. Clinician Document
10.4.4. Other
10.4.5. By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Type
10.7.1. Machine Translation
10.7.2. Information Extraction
10.7.3. Automatic Summarization
10.7.4. Text and Voice Processing
10.7.5. Other
10.7.6. By type, machine translation is the most commonly used type, with about 44% market share in 2018.
10.7.7. Natural Language Processing (NLP) in Healthcar
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Natural Language Processing (NLP) in Healthcare Demand Share Forecast, 2019-2026
11. Europe Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Application
11.4.1. Electronic Health Records (EHR)
11.4.2. Computer-Assisted Coding (CAC)
11.4.3. Clinician Document
11.4.4. Other
11.4.5. By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Type
11.7.1. Machine Translation
11.7.2. Information Extraction
11.7.3. Automatic Summarization
11.7.4. Text and Voice Processing
11.7.5. Other
11.7.6. By type, machine translation is the most commonly used type, with about 44% market share in 2018.
11.7.7. Natural Language Processing (NLP) in Healthcar
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Natural Language Processing (NLP) in Healthcare Demand Share, 2019-2026
12. Asia Pacific Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Application
12.4.1. Electronic Health Records (EHR)
12.4.2. Computer-Assisted Coding (CAC)
12.4.3. Clinician Document
12.4.4. Other
12.4.5. By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Type
12.7.1. Machine Translation
12.7.2. Information Extraction
12.7.3. Automatic Summarization
12.7.4. Text and Voice Processing
12.7.5. Other
12.7.6. By type, machine translation is the most commonly used type, with about 44% market share in 2018.
12.7.7. Natural Language Processing (NLP) in Healthcar
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Natural Language Processing (NLP) in Healthcare Demand Share, 2019-2026
13. Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size and Volume 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. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Application
13.4.1. Electronic Health Records (EHR)
13.4.2. Computer-Assisted Coding (CAC)
13.4.3. Clinician Document
13.4.4. Other
13.4.5. By application, EHR is the largest segment, with market share of about 48% in 2018, while CAC segment was expected to increase at nearly EHR by 2025.
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size and Volume Forecast by Type
13.7.1. Machine Translation
13.7.2. Information Extraction
13.7.3. Automatic Summarization
13.7.4. Text and Voice Processing
13.7.5. Other
13.7.6. By type, machine translation is the most commonly used type, with about 44% market share in 2018.
13.7.7. Natural Language Processing (NLP) in Healthcar
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Natural Language Processing (NLP) in Healthcare Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Natural Language Processing (NLP) in Healthcare Market: Market Share Analysis
14.2. Natural Language Processing (NLP) in Healthcare Distributors and Customers
14.3. Natural Language Processing (NLP) in Healthcare Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. 3M
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. Linguamatics
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Amazon AWS
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. Nuance Communications
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. SAS
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. IBM
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Microsoft Corporation
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. Averbis
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. Health Fidelity
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Dolbey Systems
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