PUBLISHER: DataM Intelligence | PRODUCT CODE: 1077277
PUBLISHER: DataM Intelligence | PRODUCT CODE: 1077277
Global NLP in healthcare and life sciences Market - 2022-2029
Market Overview
The global NLP in healthcare and life sciences market size was valued US$ XX million in 2021 and is estimated to reach US$ XX million by 2029, growing at a CAGR of XX % during the forecast period (2022-2029).
Natural language processing (NLP) is an area of artificial intelligence that analyses human-computer collaboration to assist machines in comprehending both written and spoken language. Its ultimate goal is to read, interpret, grasp, and make sense of human languages in a useful way. NLP is a technique for extracting data from a vast volume of clinical data and enhancing it for better preparation and assessment. Moreover, NLP has a wide range of applications in the pharmaceutical industry, including drug development, clinical trials, regulatory insights, market insights, real-world data, pharmacovigilance, and more.
Market Dynamics
Advancing demand for enhanced customer services by market players is expected to drive market growth.
The key market players are focused on expanding the acceptance of digital technologies in the healthcare industry. NLP is a subset of artificial intelligence (AI) that fosters human-machine interaction. For instance, Google announced Healthcare Natural Language API and AutoML Entity Extraction for healthcare in November 2020. These tools can aid healthcare professionals in conducting a systematic and repeatable evaluation and analysis of medical documents. These cutting-edge solutions reduce the number of workers needed in the healthcare industry while increasing productivity in the back office and clinical environments.
Moreover, in collaboration with technology businesses, several healthcare organizations are developing NLP programmes to assist the healthcare and life sciences sectors, which is boosting the worldwide NLP market in healthcare and life sciences. For instance, in August 2019, UCHealth, a not-for-profit health care system based in the United States, unveiled 'Livi,' a new Virtual Assistant powered by conversational Artificial Intelligence (AI) and available on smart speaker devices. Livi is a patient's smart helper. The tool is anticipated to safeguard messaging with physicians, provide customised support, manage appointments, and provide test results. Thus, the market is expected to drive in the forecast period from the above statements.
Restraint:
Regulatory issues to NLP deployment and high training costs for NLP models. The Health Insurance Portability and Accountability Act Rules of India state that healthcare data security is the most important element in the healthcare and life sciences industry, citing an increase in cyber-attacks on healthcare organizations and cybercriminals developing increasingly sophisticated tools and methods to attack healthcare organizations. Thus, the market is expected to hamper the forecast period from the above statements.
COVID-19 Impact Analysis
The COVID-19 pandemic has moderately impacted healthcare systems and the market. Policymakers are employing social distancing and isolation regulations to decrease the risk of COVID-19 transmission and spread, while antiviral medicines and vaccinations are still being researched, developed, and tested. In-person healthcare delivery has been curtailed or discontinued as part of these isolation rules to reduce the risk of COVID-19 infection in high-risk and vulnerable populations, notably those with comorbidities. Artificial intelligence (AI) and machine learning (ML) approaches can be used to support healthcare professionals and healthcare delivery when healthcare resources are being stressed because of the epidemic.
Moreover, these technologies can also provide continuity of care when in-person appointments are too risky due to subsequent waves of the COVID-19 epidemic. Also, beyond the pandemic's urgent needs, the implementation of these devices will continue to be beneficial for providing care to isolated and rural populations. Additionally, due to the COVID-19 pandemic, businesses in the worldwide natural language processing (NLP) in healthcare and life sciences markets are experiencing severe hurdles. The supply of raw materials required for instrument fabrication is a serious difficulty because of transportation facility inconsistencies. Thus, the COVID-19 pandemic has affected the market.
Segment Analysis
Technology segment is expected to hold the largest market share in NLP in healthcare and life sciences market
The technology segment is expected to dominate in 2020. The segment benefits because data from various sources can be analyzed using technology to gain relevant insights and make data-driven health decisions. NLP in the healthcare industry can enhance the quality and completeness of EHRs by turning free text into standardized data. Because NLP translates unstructured language into structured data, it may also make documentation easier by allowing care providers to dictate notes, which is a business benefit. Thus, the market segment is expected to drive in the forecast period from the above statements.
Geographical Analysis
North America region holds the largest market share in the global NLP in healthcare and life sciences market
In 2020, North America accounted for the highest revenue share. Rising research and development activities and investments, technological advancements, the large presence of key market players and their roduct launches, acquisition and collaborations in the region are the factors the region is expected to boost in the forecast period. For instance, Centene Corporation, a publicly listed managed care firm based in the United States, announced the successful acquisition of Apixio Inc., a computing solution for healthcare payers and providers, in November 2020. Clinical data from medical records, physician notes, and other documents will be extracted and converted into clinical and administrative guidelines as part of the acquisition. Moreover, Yext, a New York-based technology business that specializes in online brand management, announced the debut of a new AI-powered doctor finder service in September 2021. By comprehending the meaning behind what people are searching for online, the technological solution is supposed to help healthcare providers link patients to the correct healthcare practitioner. Therefore, it has increased the capital of NLP in healthcare and life sciences, due to which the North American region is expected to hold the largest market share in the forecast period.
Competitive Landscape
Major key players in the NLP in healthcare and life sciences market are Google LLC., Apixio, Microsoft Corporation, 3M India Ltd , IBM Corporation, Amazon Web Services Inc., Health Fidelity Gnani.ai, CloudMedx , Inovalon Lexalytics and Conversica Inc.
Google LLC.:
Overview:
Google LLC is a multinational technology firm based in the United States specializing in Internet-related services and products such as search engines, online advertising technologies, cloud computing, software, and hardware. Due to its market dominance, data collection, and technological advantages in artificial intelligence, it has been referred to as the most powerful firm in the world and one of the most valuable brands in the world.
Product Portfolio:
Healthcare Natural Language API: The Healthcare Natural Language API parses unstructured medical text such as medical records or insurance claims. It then generates a structured data representation of the medical knowledge entities stored in these data sources for downstream analysis and automation.
Why Purchase the Report?
Visualize the composition of the NLP in healthcare and life sciences market segmentation by component type, application, deployment mode and region highlighting the key commercial assets and players.
Identify commercial opportunities in NLP in healthcare and life sciences market by analyzing trends and co-development deals.
Excel data sheet with thousands of data points of NLP in healthcare and life sciences market- level 4/5 segmentation.
PDF report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.
Product mapping in excel for the key product of all major market players
The global NLP in healthcare and life sciences market report would provide an access to an approx. 45+market data table, 40+figures and 180pages.
Target Audience
Service Providers/ Buyers
Industry Investors/Investment Bankers
Education & Research Institutes
Research Professionals
Emerging Companies
Manufacturers
Table of Contents
1. Methodology and Scope
- 1.1. Research Methodology
- 1.2. Research Objective and Scope of the Report
2. Market Definition and Overview
3. Executive Summary
- 3.1. Market Snippet by Component Type
- 3.2. Market Snippet by Application
- 3.3. Market Snippet by Deployment Mode
- 3.4. Market Snippet by Region
4. Market Dynamics
- 4.1. Market Impacting Factors
- 4.1.1. Drivers
- 4.1.1.1. Advancing demand for enhanced customer services by market players is expected to drive market growth.
- 4.1.2. Restraints:
- 4.1.2.1. Regulatory issues to NLP deployment and high training costs for NLP models are expected to hamper the market growth.
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis
- 4.1.1. Drivers
5. Industry Analysis
- 5.1. Supply Chain Analysis
- 5.2. Pricing Analysis
- 5.3. Unmet Needs
6. COVID-19 Analysis
- 6.1. Analysis of Covid-19 on the Market
- 6.1.1. Before COVID-19 Market Scenario
- 6.1.2. Present COVID-19 Market Scenario
- 6.1.3. After COVID-19 or Future Scenario
- 6.2. Pricing Dynamics Amid Covid-19
- 6.3. Demand-Supply Spectrum
- 6.4. Government Initiatives Related to the Market During Pandemic
- 6.5. Manufacturers Strategic Initiatives
- 6.6. Conclusion
7. By Component Type
- 7.1. Introduction
- 7.1.1. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component Type
- 7.1.2. Market Attractiveness Index, By Component Type Segment
- 7.2. Technology*
- 7.2.1. Interactive Voice Response, Optical Character Recognition
- 7.2.2. Pattern and Image Recognition
- 7.2.3. Auto Coding
- 7.2.4. Text Analytics
- 7.2.5. Speech Analytics
- 7.2.6. Introduction
- 7.2.7. Market Size Analysis, US$ Million, 2020-2029 and Y-o-Y Growth Analysis (%), 2021-2029
- 7.3. Services
8. By Application
- 8.1. Introduction
- 8.1.1. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Application
- 8.1.2. Market Attractiveness Index, By Application Segment
- 8.2. Drug Discovery*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis, US$ Million, 2020-2029 and Y-o-Y Growth Analysis (%), 2021-2029
- 8.3. EHRs
- 8.4. Clinical Trial Analytics
- 8.5. Adverse Event Reporting
- 8.6. Others
9. By Deployment Mode
- 9.1. Introduction
- 9.1.1. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment Mode
- 9.1.2. Market Attractiveness Index, By Deployment Mode Segment
- 9.2. On-premise*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis, US$ Million, 2020-2029 and Y-o-Y Growth Analysis (%), 2021-2029
- 9.3. Cloud
10. By Region
- 10.1. Introduction
- 10.1.1. Market Size Analysis, US$ Million, 2020-2029 and Y-o-Y Growth Analysis (%), 2021-2029, By Region
- 10.1.2. Market Attractiveness Index, By Region
- 10.2. North America
- 10.2.1. Introduction
- 10.2.2. Key Region-Specific Dynamics
- 10.2.3. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component Type
- 10.2.4. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Application
- 10.2.5. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment Mode
- 10.2.6. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Country
- 10.2.6.1. U.S.
- 10.2.6.2. Canada
- 10.2.6.3. Mexico
- 10.3. Europe
- 10.3.1. Introduction
- 10.3.2. Key Region-Specific Dynamics
- 10.3.3. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component Type
- 10.3.4. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Application
- 10.3.5. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment Mode
- 10.3.6. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Country
- 10.3.6.1. Germany
- 10.3.6.2. U.K.
- 10.3.6.3. France
- 10.3.6.4. Italy
- 10.3.6.5. Spain
- 10.3.6.6. Rest of Europe
- 10.4. South America
- 10.4.1. Introduction
- 10.4.2. Key Region-Specific Dynamics
- 10.4.3. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component Type
- 10.4.4. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Application
- 10.4.5. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment Mode
- 10.4.6. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Country
- 10.4.6.1. Brazil
- 10.4.6.2. Argentina
- 10.4.6.3. Rest of South America
- 10.5. Asia Pacific
- 10.5.1. Introduction
- 10.5.2. Key Region-Specific Dynamics
- 10.5.3. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component Type
- 10.5.4. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Application
- 10.5.5. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment Mode
- 10.5.6. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Country
- 10.5.6.1. China
- 10.5.6.2. India
- 10.5.6.3. Japan
- 10.5.6.4. Australia
- 10.5.6.5. Rest of Asia Pacific
- 10.6. Middle East and Africa
- 10.6.1. Introduction
- 10.6.2. Key Region-Specific Dynamics
- 10.6.3. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component Type
- 10.6.4. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Application
- 10.6.5. Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment Mode
11. Competitive Landscape
- 11.1. Key Developments and Strategies
- 11.2. Company Share Analysis
- 11.3. Product Benchmarking
- 11.4. List of Key Companies to Watch
12. Company Profiles
- 12.1. Google Inc.*
- 12.1.1. Company Overview
- 12.1.2. Product Portfolio and Description
- 12.1.3. Key Highlights
- 12.1.4. Financial Overview
- 12.2. Apixio
- 12.3. Microsoft Corporation
- 12.4. 3M India Ltd
- 12.5. IBM Corporation
- 12.6. Amazon Web Services Inc.
- 12.7. Health Fidelity Gnani.ai
- 12.8. CloudMedx
- 12.9. Inovalon Lexalytics
- 12.10. Conversica Inc.
LIST NOT EXHAUSTIVE
13. Global NLP in healthcare and life sciences Market - DataM
- 13.1. Appendix
- 13.2. About Us and Applications
- 13.3. Contact Us
