Machine Translation Market to hit $1.5bn by 2024 - PowerPoint PPT Presentation

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Machine Translation Market to hit $1.5bn by 2024

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More Information @ Machine translation industry encompasses a wide variety of application areas such as electronics, healthcare, IT, automotive, and military & defense. The notable e-commerce industry giants such as eBay, Alibaba, Amazon are using MT technology to expand their business base across the globe, which will fuel machine translation market share from e-commerce applications. – PowerPoint PPT presentation

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Title: Machine Translation Market to hit $1.5bn by 2024


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Machine Translation Market to hit 1.5bn by 2024
Fractovia.org
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Key Insights of Machine Translation Market
  • The global Machine Translation Market share
    report provides numbers for applications and
    regional segments of the industry covering
    historical as well as forecast data for decision
    makers.
  • The world today has become a smaller, connected,
    and more dynamic place than before, and the
    progressive growth of machine translation market
    is one of the key reasons contributing to this
    fact. Major companies are aiming to spread their
    business across the globe without the constraint
    of a communication barrier, and machine
    translation industry is contributing remarkably
    toward this cause. MT tools help people
    communicate with each other and decode unknown
    languages, owing to which companies find it
    easier to communicate with clients, improve
    relationships with customers, and help the
    company gain profits. As per the report by Global
    Market Insights, Worldwide machine translation
    market was worth USD 400 million in 2016 and will
    surpass a revenue collection of USD 1.5 billion
    by 2024 with an annual growth rate of 19 over
    the coming years of 2017 to 2024.

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Continued
  • Machine translation industry encompasses a wide
    variety of application areas such as electronics,
    healthcare, IT, automotive, and military
    defense. The notable e-commerce industry giants
    such as eBay, Alibaba, Amazon are using MT
    technology to expand their business base across
    the globe, which will fuel machine translation
    market share from e-commerce applications.
    Healthcare applications are predicted to exhibit
    considerable growth rate over the coming seven
    years, owing to rising clinical and research
    activities across the medical sector.
  • Based on technology, machine translation market
    is mainly divided into RBMT and SMT. SMT covered
    more than 60 of the industry share of technology
    segment. The increasing usage of this technology
    across the commercial sector will boost the
    product demand significantly. RBMT technology
    segment will record an annual growth rate of 14
    over the period of 2017 to 2024, attributed to
    its growing application as a language translation
    tool.
  • Geographically, U.S. machine translation market
    will generate noticeable revenue over the coming
    timeframe, owing to the availability of more
    service providers across this region. Moreover,
    supportive initiations taken by some of the
    governmental agencies such as the Defense
    Advanced Research Projects Agency (DARPA) in
    terms of funding will also favor the industry
    growth.

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Browse Full Market Research Report Of Machine
Translation Market _at_ http//bit.ly/2hzv4FB
Request for a Sample of this Research
report _at_ https//www.fractovia.org/request-sample
/407
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U.S. Machine Translation Market Share, By
Application, 2016

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Continued.
  • Asia Pacific machine translation industry size
    will register a flourishing growth rate over the
    coming years, primarily driven by the products
    surging demand to reduce the communication
    barrier pertaining to the presence of more number
    of local languages. India and China will
    contribute significantly toward APAC growth.
  • The key participants in machine translation
    market are Lionbridge Technologies Inc., Moravia
    IT, Google Inc., Microsoft Corporation, IBM
    Corporation, and Systran International.

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