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Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market – Industry Trends and Forecast to 2029

  • ICT
  • Upcoming Report
  • Nov 2021
  • Global
  • 350 Pages
  • No of Tables: 60
  • No of Figures: 220

Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market, By Component (Standalone Solutions, Services), NLP Type (Rule-Based NLP, Statistical NLP, Hybrid NLP), Deployment Mode (On-Premises), Organization Size (Large Enterprises and Small and Medium Enterprises), Application (Interactive Voice Response (IVR), Pattern and Image Recognition, Auto Coding, Classification and Categorization, Text and Speech Analytics, Others), End-Users (NLP for Physicians, NLP for Researchers, NLP for Patients, NLP for Clinical Operators), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa), Industry Trends and Forecast to 2029

Natural Language Processing (NLP) in Healthcare and Life Sciences Market Market Analysis and Insights of Natural Language Processing (NLP) in Healthcare and Life Sciences Market

Natural language processing (NLP) in healthcare and life sciences market is expected to gain market growth in the forecast period of 2022 to 2029. Data Bridge Market Research analyses the market to o reach at an estimated value of USD 6 billion by 2029 and grow at a CAGR of 19.0% in the above-mentioned forecast period.

Natural language processing (NLP) is a branch of artificial intelligence which helps machines in understanding both written and spoken language of human by analyzing human to computer collaboration. Its ultimate objective is basically to read, decipher, understand and make sense of the human languages in a manner that is valuable. NLP strategies extraction of data from the large amount of clinical information and enhance it viably for improved preparing and examination.

The factors such as the rising urge of predictive analytics to reduce risk and improve significant health concerns, growing usage of connected devices and proper government policies and increasing initiatives across the globe are expected to emerge as the significant factors uplifting the growth of natural language processing (NLP) in healthcare and life sciences market. In addition to this, increasing surge in clinical data coupled with integration of social media for assessing population health will further aggravate the growth of the natural language processing (NLP) in healthcare and life sciences market. However, specific medical sub-languages and poor input data quality along with limited access to clinical data results as a growth restraint for the market.

The rising demand for NLP systems programmed to understand the context of medical records is anticipated to generate lucrative opportunities for the natural language processing (NLP) in healthcare and life sciences market. The growing regulatory compliance and privacy concerns over data security slowing down the progress of researchers and poor institutional commitment will pose as a challenge for the natural language processing (NLP) in healthcare and life sciences market.

This natural language processing (NLP) in healthcare and life sciences market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on Natural language processing (NLP) in healthcare and life sciences market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Scope and Market Size

The natural language processing (NLP) in healthcare and life sciences market is segmented on the basis of component, NLP type, deployment mode, organization size, application and end-users. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.

  • On the basis of component, natural language processing (NLP) in healthcare and life sciences market is segmented into standalone solutions and services.
  • On the basis of NLP type, the market is segmented into rule-based NLP, statistical NLP and hybrid NLP.
  • On the basis of organization size, natural language processing (NLP) in healthcare and life sciences market is segmented into large enterprises and small and medium-sized enterprises.
  • On the basis of application, the market is segmented into interactive voice response (IVR), pattern and image recognition, auto coding, classification and categorization, text and speech analytics and others.
  • On the basis of deployment mode, natural language processing (NLP) in healthcare and life sciences market is segmented into on-premises and cloud.
  • Based on end-users, natural language processing (NLP) in healthcare and life sciences market is segmented into NLP for physicians, NLP for researchers, NLP for patients and NLP for clinical operators.

Natural Language Processing (NLP) in Healthcare and Life Sciences Market Country Level Analysis

The natural language processing (NLP) in healthcare and life sciences market is segmented on the basis of component, NLP type, deployment mode, organization size, application and end-users.

The countries covered in the natural language processing (NLP) in healthcare and life sciences market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America is projected to dominate the natural language processing (NLP) in healthcare and life sciences market during the forecast period owing to the increase in demand for natural language processing (NLP) in healthcare and life sciences and rising research and development activities and investments in the field of robotics. Asia-Pacific, on the other hand, is expected to show a lucrative growth due to adoption of advanced technologies, such as natural language processing (NLP) in healthcare and life sciences for enhancements of business operations within the region.

 The country section of the natural language processing (NLP) in healthcare and life sciences market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Natural Language Processing (NLP) in Healthcare and Life Sciences Market Share Analysis

The natural language processing (NLP) in healthcare and life sciences market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Natural language processing (NLP) in healthcare and life sciences market.

Some of the major players covered in the natural language processing (NLP) in healthcare and life sciences market report are 3M, Cerner Corporation, Nuance Communications Inc., Health Fidelty Inc., Dolby Systems Inc., Microsoft, IBM, GOOGLE LLC, Amazon Web Services Inc., Apixio Inc., Averbis, Linguamantics, Clinithink, Wave Health Technologies, Inovalon, Lexlytics, Conversica Inc., Sparkcognition, Narrative Science, Stats LLC among others.

Customization Available : Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market

Data Bridge Market Research is a leader in consulting and advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include production cost analysis, trade route analysis, price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), import export and grey area results data, literature review, consumer analysis and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.


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