Natural Language Processing (NLP) in Healthcare Market is Booming Worldwide with 3M, Cerner, Averbis, IBM, Microsoft
Research Reports
Dec 30, 2020
Latest Research Study on Global Natural Language Processing (NLP) in Healthcare Market published by AMA, offers a detailed overview of the factors influencing the global business scope. Global Natural Language Processing (NLP) in Healthcare Market research report shows the latest market insights with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors, Challenges and Current Scenario Analysis of the Global Natural Language Processing (NLP) in Healthcare. This Report also covers the emerging player’s data, including: competitive situation, sales, revenue and global market share of top manufacturers are 3M, Cerner, Averbis, IBM Corporation, Microsoft Corporation, Wave Health Technologies, Inovalon, Nuance Communications, Heath Fidelity, Clinithink, Linguamatics, Dolbey Systems
The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products, and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies.
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Brief Overview on Natural Language Processing (NLP) in Healthcare:
Natural language processing or NLP normally refers to the interaction between a human and a computer that further analyzes, processes, and then produces computational linguistics that is all based on a human language. This NLP technology helps humans to have a meaningful interaction with computers using any basic human language like German or English instead of artificial computer languages like Java or C++. At present, the employment of this NLP technology is emerging in the global healthcare industry. A number of public and private healthcare service providers like the clinics and notable hospitals are now adopting the NLP technology for their clinical applications so as to improve their patient appointments and hence their overall decision-making skills. In addition to all these, the NLP technology is mainly implemented as a strategic tool by the healthcare service providers so as to gain all the clinical data insights and thereby the effective data results after the clinical processes. NLP technology is largely used in artificial intelligence systems so as to get improved data insight. The applications with natural language processing i.e. NLP integration are nowadays used in the healthcare industry for the purpose of providing clinical decision support systems as well as predictive analysis. With the increasing usage of Artificial Intelligence (AI), the frontiers of healthcare, treatment tools, and augmenting diagnostic, as well as the helping healthcare professionals prognosticate diseases is hereby expected to increase. The computer vision and Machine Learning (ML) algorithms have indeed helped in the detection of the precancerous lesions by the means of using the minutest details in the tissue imagery, thereby increasing the sensitivity as well as the accuracy of the cancer screening tests.
Market Drivers
- With The Growing Use of Artificial Intelligence (AI), the Frontiers of Healthcare, Augmenting Diagnostic and Treatment Tools, and Helping Healthcare Professionals Prognosticate Diseases Is Expected To Increase
- Computer Vision and Machine Learning (ML) Algorithms Have Further Helped In Increasing the Sensitivity and Accuracy of Cancer Screening Tests
Market Trend
- Increase In Cloud-Based NLP Solutions to Maximize Profits and Automate the Equipment Maintenance Process, Effectively
- Integration of NLP Technology with Computer Apps Helps These Healthcare Service Providers to Improve Patient and Their Family Engagement Experience
Market Restraints
- Stringent Regulations by Government Regarding Healthcare Industry
Market Opportunities
- The Adoption of Cloud-Based NLP in Healthcare and Life Sciences Solutions Is Expected To Grow
- High Growth Rate Can Be Further Attributed To the Rising Digital Transformations in the Healthcare and Life Sciences Industries and Therefore the Growing Use Of Patient Health Record Systems
Market Challenges
- Unawareness About Natural Language Processing (NLP) in Healthcare in the Under Developed Regions
The Global Natural Language Processing (NLP) in Healthcare Market segments and Market Data Break Down are illuminated below:
Natural Language Processing (NLP) in Healthcare Market Study by Type (Rule-Based NLP, Statistically Based NLP, Mixed NLP), Application (Health Care, Life Science, Other), Organization Size (Small and Medium Size Organizations, Large Size Organizations), Offering Type (Software (Cloud-Based and On-Premise), Services (Managed Services, Professional Services)), Stages (Pre-Construction, Construction Stage, Post-Construction)
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
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Strategic Points Covered in Table of Content of Global Natural Language Processing (NLP) in Healthcare Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Global Natural Language Processing (NLP) in Healthcare market
Chapter 2: Exclusive Summary – the basic information of the Global Natural Language Processing (NLP) in Healthcare Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Global Natural Language Processing (NLP) in Healthcare
Chapter 4: Presenting the Global Natural Language Processing (NLP) in Healthcare Market Factor Analysis, Post COVID Impact Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2014-2019
Chapter 6: Evaluating the leading manufacturers of the Global Natural Language Processing (NLP) in Healthcare market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2020-2025)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Global Natural Language Processing (NLP) in Healthcare Market is a valuable source of guidance for individuals and companies in their decision framework.
Data Sources & Methodology
The primary sources involve the industry experts from the Global Natural Language Processing (NLP) in Healthcare Market including the management organizations, processing organizations, analytics service providers of the industry’s value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.
In the extensive primary research process undertaken for this study, the primary sources – Postal Surveys, telephone, Online & Face-to-Face Survey were considered to obtain and verify both qualitative and quantitative aspects of this research study. When it comes to secondary sources Company’s Annual reports, press Releases, Websites, Investor Presentation, Conference Call transcripts, Webinar, Journals, Regulators, National Customs and Industry Associations were given primary weight-age.
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Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.
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