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Natural Language Processing Market Growing at 20.8% CAGR to 2022

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August 14, 2017 in Technology

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Natural Language Processing (NLP) in healthcare and life sciences market to grow from USD 1.03 billion in 2016 to USD 2.65 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 20.8%.

Download Sample Copy of NLP at
http://www.rnrmarketresearch.com/contacts/request-sample?rname=404345

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.
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).

Access complete report on Natural Language Processing (NLP) at
http://www.rnrmarketresearch.com/contacts/purchase?rname=404345

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.
Table of Contents
1. Introduction
2. Objective of the Study
3. Market Definition
4. Market Scope
5. Markets Covered
6. Years Considered
7. Currency
8. Limitations
9. Stakeholders
10. Research Methodology
11. Research Data
12. Secondary Data
13. Key Data From Secondary Sources
14. Primary Data
15. Key Data From Primary Sources

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