The growth in globalization drives the need to address diversity of languages in web content and local audiences. The proliferation of website content, need to enable global collaboration among employees, and growing importance of business in emerging markets are some of the market opportunities anticipated to bring a major boost to the growth of the global machine translation market. The increasing penetration of internet and proliferation of smartphones are expected to drive the growth of the global market.

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The translation of words by computer from one language to another is known as machine translation. Machine translation is commonly used for translating large amounts of data. It is used to create multilingual content for a global website and is a cost-effective method employed by several corporations. Machine translation is cheaper and faster than conventional human translation, as human translation requires number of resources for translation. It enables speedy translation of documents and content. Among the two types of machine translation technologies, the statistical machine translation (SMT) implements a model to generate and analyze text in the target language, whereas rule based machine translation (RBMT) makes use of linguistic (language) rules over the source language, to produce text in the target language.

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Machine translation is an efficient way of removing language barriers across different regions. The major factor responsible for the growth of the North American machine translation market is the increasing number of service providers and government initiatives in the region. The need to address different cultural groups and increasing globalization has led to the growth of the machine translation technology in Asia-Pacific. The major restraints of the market are need for post-editing and specialist skills, lack of quality, difficulty in estimation & measurement of quality, and competition from free language conversion service providers. The SMT technology has been made popular because of the free online engines provided by Google and Microsoft (two of the largest technology providers based in the U.S.). The accessibility of free translation engines (e.g. Google Translate, Microsoft Bing) and lack of translation accuracy is expected to restrain the growth of the global market.
Another major restraint obstructing the growth of the market is the creative marketing content, which a machine cannot grasp and requires human understanding for translation and delivering the actual meaning. This includes certain legal documents (such as high-stake sensitive court proceedings content which needs accurate translation) and creative marketing content (filled with minuteness of expression that a machine is not able to grasp). SYSTRAN, SDL PLC, Lionbridge, Lingotek, Moravia IT s.r.o, Cloudwords Inc., and Lighthouse IP Group are some of the major competitors of the global machine translation market.

Global Machine Translation Market Segmentation
By Application
• Automotive
• Military & Defence
• Electronics
• Information Technology (IT)
• Healthcare
• Others
By Technology
• RBMT
• SMT
• Others
By Geography
• North America
 The U.S.
 Canada
 Rest of North America
• Latin America
 Brazil
 Rest of Latin America
• Europe
 The U.K.
 France
 Rest of Europe
• Asia-Pacific
 China
 Japan.
 India
 Rest of APAC
• Middle East & Africa
 Japan
 Rest of MEA

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