Global Machine Translation (MT) Market Status (2015-2019) and Forecast (2020-2024) by Region, Product Type & End-Use

SKU ID : 99ST- 13951452

Publishing Date : 13-Sep-2019

No. of pages : 126

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  • Summary
    The report forecast global Machine Translation (MT) market to grow to reach xxx Million USD in 2019 with a CAGR of xx% during the period 2020-2024.
    The report offers detailed coverage of Machine Translation (MT) industry and main market trends. The market research includes historical and forecast market data, demand, application details, price trends, and company shares of the leading Machine Translation (MT) by geography. The report splits the market size, by volume and value, on the basis of application type and geography.
    First, this report covers the present status and the future prospects of the global Machine Translation (MT) market for 2015-2024.
    And in this report, we analyze global market from 5 geographies: Asia-Pacific[China, Southeast Asia, India, Japan, Korea, Western Asia], Europe[Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland], North America[United States, Canada, Mexico], Middle East & Africa[GCC, North Africa, South Africa], South America[Brazil, Argentina, Columbia, Chile, Peru].
    At the same time, we classify Machine Translation (MT) according to the type, application by geography. More importantly, the report includes major countries market based on the type and application.
    Finally, the report provides detailed profile and data information analysis of leading Machine Translation (MT) company.
    Key Content of Chapters as follows (Including and can be customized) :
    Part 1:
    Market Overview, Development, and Segment by Type, Application & Region
    Part 2:
    Company information, Sales, Cost, Margin etc.
    Part 3:
    Global Market by company, Type, Application & Geography
    Part 4:
    Asia-Pacific Market by Type, Application & Geography
    Part 5:
    Europe Market by Type, Application & Geography
    Part 6:
    North America Market by Type, Application & Geography
    Part 7:
    South America Market by Type, Application & Geography
    Part 8:
    Middle East & Africa Market by Type, Application & Geography
    Part 9:
    Market Features
    Part 10:
    Investment Opportunity
    Part 11:
    Conclusion
    Market Segment as follows:
    By Region
    Asia-Pacific[China, Southeast Asia, India, Japan, Korea, Western Asia]
    Europe[Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
    North America[United States, Canada, Mexico]
    Middle East & Africa[GCC, North Africa, South Africa]
    South America[Brazil, Argentina, Columbia, Chile, Peru]
    Key Companies
    AppTek 
    Asia Online 
    Cloudwords 
    IBM 
    Lighthouse IP Group 
    Lingo24 
    Lingotek 
    Lionbridge Technologies 
    Lucy Software and Services 
    Moravia IT 
    Pangeanic 
    ProMT 
    Raytheon BBN Technologies 
    SDL 
    Smart Communications 
    Systran International 
    Welocalize
    Market by Type
    Rule-Based Machine Translation (RBMT) 
    Statistical Machine Translation (SMT) 
    Example-based machine translation (EBMT) 
    Hybrid machine translation (HMT) 
    Neural MT 
    Market by Application
    Healthcare 
    Automotive 
    Military & Defense 
    IT 
    Others 

    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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