Healthcare Natural Language Processing (NLP) Market Demand for Machine Translation to Remain Steady through Forecast Period By 2024

This report provides an analysis of the global healthcare natural language processing (NLP) market for the period from 2014 to 2024, wherein the period from 2016 to 2024 comprises the forecast period and 2015 is the base year. Data for 2014 is provided as historical information.

The report details the prominent trends and technologies playing a major role in the growth of the healthcare NLP market over the forecast period. It also highlights various drivers, restraints, and opportunities expected to influence the market’s growth during this period.

The study provides a holistic perspective of the growth of the healthcare NLP market throughout the forecast period in terms of revenue estimates (in US$ Mn), across Asia Pacific (APAC), South America, North America, Europe, and Middle East & Africa (MEA) regions. The report provides analysis of the global healthcare NLP market in terms of market estimates and forecasts for all the segments across different geographic regions.

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The report provides extensive information on key developments of NLP system across the countries and opportunities for global healthcare NLP market. This is in consideration to the growing implementation of machine translation and information extraction technology, which is anticipated to offer prominent opportunities for healthcare NLP market across the world in near term.

Furthermore, increasing integration of data and network technologies such as big data, and internet of things (IoT) has varying degree of acceptance across regions and in healthcare applications, which is further anticipated to influence the demand for NLP technology across these geographic regions during the forecast period.

The increasing penetration of electronics health record (EHR) systems in healthcare applications is creating strong demand for knowledge extraction and structured information.

In addition, Healthcare NLP market is mainly driven by exponentially rising volume of unstructured clinical data. The NLP technology enables health professional to enhance the overall performance of clinical process by attaining clinical communication techniques.

NLP technology based systems also allow organizations to improve family and patient engagement, and assist in reduction of operational cost by elimination of traditional clinical documentation process.

Furthermore, many European countries are spending on healthcare IT expenditure in order to implement advance technologies in clinical diagnosis procedures. Healthcare organizations are implementing NLP technologies for clinical documentation purpose in order to reduce incidental errors, financial losses, and attain high quality patient care and better patient outcomes.

The report includes the impact analysis of such factors under the market dynamics, categorized as the drivers and the restraints. Apart from this, the report also details on different NLP techniques while providing holistic view of the market under the ecosystem analysis. In ecosystem analysis, the study elucidates the workflow of entire healthcare NLP system from generation of unstructured data to the end-use healthcare systems.

This 153 page report gives readers a comprehensive overview of the Healthcare Natural Language Processing (NLP) Market. Browse through 12 data tables and 44 figures to unlock the hidden opportunities in this market.
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On the basis of technology, healthcare NLP market is categorized into machine translation, information extraction, automatic summarization, and text and voice processing.

The study includes global and regional key trends and key market indicators of the healthcare NLP market. The report also includes detailed information of technology segment across each region for global healthcare NLP market.

Moreover, the report also includes competitive profiling of the regional and global key players associated with the healthcare NLP market. The important business strategies adopted by them, their market positioning, and recent developments have also been identified in the research report.

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