Global Natural Language Processing Market 2015-2019

SKU ID : TNV- 10278081

Publishing Date : 06-Jan-2016

No. of pages : 68

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  • About NLP
    Natural language processing is a computer application that can understand human language. It is a part of AI. It is a computerized technique in which human communication is analyzed and interpreted based on a set of theories and technologies by the computer. It is both based on text and speech provided to the computer. Currently, NLP approaches are based on machine learning that uses patterns for understanding own programs. The most common NLP in all the software packages includes:
    • Sentence segmentation, part-of-speech tagging, and parsing
    • Deep analytics
    • Named entity extraction
    • Co-reference resolution

    The goal of NLP is to reduce the time for understanding computer languages such as Java, C, C++, and Ruby.

    The development of NLP solutions is difficult because computers need humans to speak in a programming language that needs to be precise, unambiguous, and highly structured with less amount of enunciated voice commands. However, human speech cannot be precise, and it is often ambiguous and depend on variables that include slang, regional dialects, and social context.

    Technavio's analysts forecast the global NLP market to grow at a CAGR of 16.11 % over the period 2014-2019.

    Covered in this report
    This report covers the present scenario and growth prospects of the global NLP market for 2015-2019. To calculate the market size, the report considers revenue generated from the sales of NLP solutions in the global market from the following segments:
    • Recognition market: This includes the revenue generated from speech recognition, OCR , and IVR systems market
    • Analytics market: This includes the revenue generated from text and speech analytics
    • Operational market: This includes the revenue generated from categorization and auto-coding process

    This report also segments the market according to the end-users, deployment model, and by product.

    Key regions
    • APAC
    • Europe
    • Latin America
    • MEA
    • North America

    Key vendors
    • 3M
    • Apple
    • Google
    • Microsoft

    Other prominent vendors
    • A3logics
    • AlchemyAPI
    • Apixio
    • Aylien
    • Dolbey Systems
    • Fluxifi
    • HP
    • IBM
    • Linguamatics
    • Mmodal
    • Netbase
    • Nuance Communication
    • SAS Institute
    • Textalytics
    • Verint Systems

    Key market driver
    • Increase in use of NLP in healthcare industry
    • For a full, detailed list, view our report

    Key market challenge
    • Inability to suppress ambient noise
    • For a full, detailed list, view our report

    Key market trend
    • Growing use of text analytics in healthcare industry
    • For a full, detailed list, view our report

    Key questions answered in this report
    • What will the market size be in 2019 and what will the growth rate be?
    • What are the key market trends?
    • What is driving this market?
    • What are the challenges to market growth?
    • Who are the key vendors in this market space?
    • What are the market opportunities and threats faced by the key vendors?
    • What are the strengths and weaknesses of the key vendors?

    Frequently Asked Questions



    This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

    • By product type
    • By End User/Applications
    • By Technology
    • By Region

    The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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