Natural Language Processing Market Growth –Industry Analysis to 2021

Natural Language Processing (NLP) in Healthcare & Life Sciences market research report show analytical data on Industry growth, trends, analysis, size, share, survey, industry intelligence, business acumen. Natural Language Processing (NLP) in Healthcare and Life Sciences Research report grab attention on Industry trends, Natural Language Processing (NLP) in Healthcare and Life Sciences market strategy, analysis, survey during forecast period 2017 to 2022.

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Report forecasts the global Natural Language Processing (NLP) in healthcare and life sciences market to grow from $1.03 billion in 2016 to $ 2.65 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 20.8%. The market is growing rapidly because of the huge surge in clinical data, increasing use of connected devices, and evolving consumer needs. Limited access to clinical data and lack of institutional commitment are restraining the growth of the NLP market in healthcare and life sciences industry.
The report includes the study of key players offering NLP in healthcare and life sciences market:
1. 3M (Minnesota),
2. Cerner Corporation (Missouri),
3. IBM Corporation (New York),
4. Microsoft Corporation (Washington),
5. Nuance Communications (Massachusetts),
6. Health Fidelity (California),
7. Dolbey Systems (Ohio),
8. Linguamatics (Cambridge),
9. Apixio (San Mateo).
Furthermore, the report also includes in-depth competitive analysis of the key players in the NLP in healthcare and life sciences market, with their company profiles, recent developments, and key market strategies.
The NLP in healthcare and life sciences market by technology consists of Interactive Voice Response (IVR), Optical Character Recognition (OCR), pattern and image recognition, auto coding, classification &categorization, text analytics, and speech analytics. Pattern and image recognition is expected to witness the highest CAGR. The technology is helpful in detecting images, pattern analysis, and gesture recognition. In the healthcare industry, it is used to interpret numerical data, such as blood test results. This technique is also used in processing non-numeric data, such as patient history.

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The NLP in healthcare and life sciences market has been segmented by deployment mode into cloud and on-premise deployment mode. Both, on-premise and cloud-based solutions depend upon an organization’s requirements. The cloud-based deployment mode is gaining high traction in the market majorly due to its numerous advantages over the on-premise mode such as the high scalability, cost-effectiveness, simplified access, and ease of use.
The overall NLP in healthcare and life sciences market has been segmented by component (technology and service), type, application, deployment mode, and region. The market by technology is segmented into IVR, OCR, pattern & image recognition, auto coding, classification & categorization, text analytics, and speech analytics. The services have been segmented into professional services and support & maintenance services. The market by type includes rule-based NLP, statistical NLP, and hybrid NLP. Applications include predictive risk analytics, automated information extraction, report generation, machine translation, and others.

Browse complete report on Natural Language Processing (NLP) in Healthcare and Life Sciences Market by Component (Technology and Services), Type (Rule-based, Statistical and Hybrid), Application, Deployment Mode (Cloud and On Premise) and Region - Global Forecast to 2021,

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The NLP solutions can be deployed in cloud or on-premise. The regional analysis includes the study of five regions namely North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and Latin America.

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This release was published on openPR.