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Natural Language Processing (NLP) in Healthcare and Life Sciences-Global Market Insights and Sales Trends 2024
Synopsis
The global Natural Language Processing (NLP) in Healthcare and Life Sciences market size is expected to reach US$ 5605 million by 2029, growing at a CAGR of 17.1% from 2023 to 2029. The market is mainly driven by the significant applications of Natural Language Processing (NLP) in Healthcare and Life Sciences in various end use industries. The expanding demands from the Electronic Health Records (EHR), Computer-Assisted Coding (CAC), Clinician Document and Others, are propelling Natural Language Processing (NLP) in Healthcare and Life Sciences market. Machine Translation, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Information Extraction segment is estimated at % CAGR for the next seven-year period.
The global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry. The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Natural Language Processing (NLP) in Healthcare and Life Sciences, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Natural Language Processing (NLP) in Healthcare and Life Sciences market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Natural Language Processing (NLP) in Healthcare and Life Sciences market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Natural Language Processing (NLP) in Healthcare and Life Sciences sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Natural Language Processing (NLP) in Healthcare and Life Sciences covered in this report include 3M (Minnesota), Cerner Corporation (Missouri), IBM Corporation (New York), Microsoft Corporation (Washington), Nuance Communications (Massachusetts), M*Modal (Tennessee), Health Fidelity (California), Dolbey Systems (Ohio) and Linguamatics (Cambridge), etc.
The global Natural Language Processing (NLP) in Healthcare and Life Sciences market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
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)
Global Natural Language Processing (NLP) in Healthcare and Life Sciences market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Natural Language Processing (NLP) in Healthcare and Life Sciences market, Segment by Type:
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Others
Global Natural Language Processing (NLP) in Healthcare and Life Sciences market, by Application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Natural Language Processing (NLP) in Healthcare and Life Sciences companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
The global Natural Language Processing (NLP) in Healthcare and Life Sciences market size is expected to reach US$ 5605 million by 2029, growing at a CAGR of 17.1% from 2023 to 2029. The market is mainly driven by the significant applications of Natural Language Processing (NLP) in Healthcare and Life Sciences in various end use industries. The expanding demands from the Electronic Health Records (EHR), Computer-Assisted Coding (CAC), Clinician Document and Others, are propelling Natural Language Processing (NLP) in Healthcare and Life Sciences market. Machine Translation, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Information Extraction segment is estimated at % CAGR for the next seven-year period.
The global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry. The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Natural Language Processing (NLP) in Healthcare and Life Sciences, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Natural Language Processing (NLP) in Healthcare and Life Sciences market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Natural Language Processing (NLP) in Healthcare and Life Sciences market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Natural Language Processing (NLP) in Healthcare and Life Sciences sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Natural Language Processing (NLP) in Healthcare and Life Sciences covered in this report include 3M (Minnesota), Cerner Corporation (Missouri), IBM Corporation (New York), Microsoft Corporation (Washington), Nuance Communications (Massachusetts), M*Modal (Tennessee), Health Fidelity (California), Dolbey Systems (Ohio) and Linguamatics (Cambridge), etc.
The global Natural Language Processing (NLP) in Healthcare and Life Sciences market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
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)
Global Natural Language Processing (NLP) in Healthcare and Life Sciences market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Natural Language Processing (NLP) in Healthcare and Life Sciences market, Segment by Type:
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Others
Global Natural Language Processing (NLP) in Healthcare and Life Sciences market, by Application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Natural Language Processing (NLP) in Healthcare and Life Sciences companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Natural Language Processing (NLP) in Healthcare and Life Sciences
1.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Overview
1.1.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Product Scope
1.1.2 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Status and Outlook
1.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Region (2018-2029)
1.4 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Historic Market Size by Region (2018-2023)
1.5 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2018-2029)
1.6.1 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2018-2029)
1.6.2 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2018-2029)
1.6.3 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2018-2029)
1.6.4 Latin America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2018-2029)
1.6.5 Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (2018-2029)
2 Natural Language Processing (NLP) in Healthcare and Life Sciences Market by Type
2.1 Introduction
2.1.1 Machine Translation
2.1.2 Information Extraction
2.1.3 Automatic Summarization
2.1.4 Text and Voice Processing
2.1.5 Others
2.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Historic Market Size by Type (2018-2023)
2.2.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Type (2018-2029)
3 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Overview by Application
3.1 Introduction
3.1.1 Electronic Health Records (EHR)
3.1.2 Computer-Assisted Coding (CAC)
3.1.3 Clinician Document
3.1.4 Others
3.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Historic Market Size by Application (2018-2023)
3.2.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue Breakdown by Application (2018-2029)
4 Natural Language Processing (NLP) in Healthcare and Life Sciences Competition Analysis by Players
4.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Natural Language Processing (NLP) in Healthcare and Life Sciences as of 2022)
4.3 Date of Key Players Enter into Natural Language Processing (NLP) in Healthcare and Life Sciences Market
4.4 Global Top Players Natural Language Processing (NLP) in Healthcare and Life Sciences Headquarters and Area Served
4.5 Key Players Natural Language Processing (NLP) in Healthcare and Life Sciences Product Solution and Service
4.6 Competitive Status
4.6.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 3M (Minnesota)
5.1.1 3M (Minnesota) Profile
5.1.2 3M (Minnesota) Main Business
5.1.3 3M (Minnesota) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.1.4 3M (Minnesota) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.1.5 3M (Minnesota) Recent Developments
5.2 Cerner Corporation (Missouri)
5.2.1 Cerner Corporation (Missouri) Profile
5.2.2 Cerner Corporation (Missouri) Main Business
5.2.3 Cerner Corporation (Missouri) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.2.4 Cerner Corporation (Missouri) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.2.5 Cerner Corporation (Missouri) Recent Developments
5.3 IBM Corporation (New York)
5.3.1 IBM Corporation (New York) Profile
5.3.2 IBM Corporation (New York) Main Business
5.3.3 IBM Corporation (New York) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.3.4 IBM Corporation (New York) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.3.5 Microsoft Corporation (Washington) Recent Developments
5.4 Microsoft Corporation (Washington)
5.4.1 Microsoft Corporation (Washington) Profile
5.4.2 Microsoft Corporation (Washington) Main Business
5.4.3 Microsoft Corporation (Washington) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.4.4 Microsoft Corporation (Washington) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.4.5 Microsoft Corporation (Washington) Recent Developments
5.5 Nuance Communications (Massachusetts)
5.5.1 Nuance Communications (Massachusetts) Profile
5.5.2 Nuance Communications (Massachusetts) Main Business
5.5.3 Nuance Communications (Massachusetts) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.5.4 Nuance Communications (Massachusetts) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.5.5 Nuance Communications (Massachusetts) Recent Developments
5.6 M*Modal (Tennessee)
5.6.1 M*Modal (Tennessee) Profile
5.6.2 M*Modal (Tennessee) Main Business
5.6.3 M*Modal (Tennessee) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.6.4 M*Modal (Tennessee) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.6.5 M*Modal (Tennessee) Recent Developments
5.7 Health Fidelity (California)
5.7.1 Health Fidelity (California) Profile
5.7.2 Health Fidelity (California) Main Business
5.7.3 Health Fidelity (California) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.7.4 Health Fidelity (California) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.7.5 Health Fidelity (California) Recent Developments
5.8 Dolbey Systems (Ohio)
5.8.1 Dolbey Systems (Ohio) Profile
5.8.2 Dolbey Systems (Ohio) Main Business
5.8.3 Dolbey Systems (Ohio) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.8.4 Dolbey Systems (Ohio) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.8.5 Dolbey Systems (Ohio) Recent Developments
5.9 Linguamatics (Cambridge)
5.9.1 Linguamatics (Cambridge) Profile
5.9.2 Linguamatics (Cambridge) Main Business
5.9.3 Linguamatics (Cambridge) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.9.4 Linguamatics (Cambridge) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.9.5 Linguamatics (Cambridge) Recent Developments
5.10 Apixio (San Mateo)
5.10.1 Apixio (San Mateo) Profile
5.10.2 Apixio (San Mateo) Main Business
5.10.3 Apixio (San Mateo) Natural Language Processing (NLP) in Healthcare and Life Sciences Products, Services and Solutions
5.10.4 Apixio (San Mateo) Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (US$ Million) & (2018-2023)
5.10.5 Apixio (San Mateo) Recent Developments
6 North America
6.1 North America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Country (2018-2029)
6.2 the United States
6.3 Canada
7 Europe
7.1 Europe Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Dynamics
11.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Industry Trends
11.2 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Drivers
11.3 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Challenges
11.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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