The global Machine
Translation Market was worth USD 0.25 billion in the year 2012 and is
expected to reach approximately USD 1.48 billion by 2022, while registering
itself at a compound annual growth rate (CAGR) of 19.40% during the forecast
period. Expanding interest for cost productivity in translation, developing
volume of site content, and the huge measure of dialect learning required
surpasses the limit of human translation, which thusly is relied upon to fuel
the machine translation market. Globalization eases the need to address the
linguistic variety of local audiences and web content. The conception of
content created on the internet, developing significance of businesses in
developing markets, and the requirement for empowering worldwide coordinated
effort among representatives is relied upon to drive machine translation market
development over the gauge time frame. The costs of machine translation are
relatively low in comparison to conventional human translation. It is
additionally quicker than human translation and usually utilized for
high-volume content that would alternatively take enormous assets for
translation, which is foreseen to drive the machine translation market.
Accessibility of translation engines that are free such as Google Translate and
Microsoft Bing and absence of exactness of translation may inhibit market
development. Significant difficulties for the machine translation market are an
absence of quality, requirement for master aptitudes and post-altering,
competition from translation service providers that are free, and trouble in
quality estimation and measurement.
Application Outlook and Trend Analysis
Consumers
in the electronics business require effective translation of reports keeping in
mind the end goal to accelerate production procedures and time for marketing.
An electronics organization needs distributing to be done in numerous languages
to give commercial and marketing catalogs, web publishing, press releases for
product launches, user manuals, commercial and marketing catalogs, and so
on. Machine translation suppliers create modified engines for customers in the
electronics sector that are well-informed with the business' technical
descriptions and particular terminologies. The machine translation market
discovers application in the healthcare industry to meet the correspondence
requirements of doctors. Healthcare organizations depend on translation
administrations of patient pamphlets, doctor manuals, leaflets, and
instructions for use, sites and other critical correspondence materials.
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Technology Outlook and Trend Analysis
RBMT
is a system of machine translation in view of data about the target and source
languages that is extracted from grammars and dictionaries which needs human
contributions for development. The process of translation is determined by
human specialists who build up an arrangement of guidelines overseeing the
procedure. Statistical machine translation adopts a model to determine and
produce text in the objective language, while translation that is rule-based
makes use of linguistic guidelines over the source dialect to create message in
the objective language.
The
vast majority of the present RBMT systems are being supplanted by SMT, and the
market has shifted towards more SMT as prime players, for example, Lionbridge,
SDL, and other language specialist co-ops are putting forth unadulterated SMT.
Regional Outlook and Trend Analysis
Government
activities and the existence of an expansive number of specialist organizations
have helped support market development in the United States. Google and
Microsoft, the biggest suppliers of technology situated in the United States,
have made the technology of statistical machine translation well known with
their free online engines. Globalization and requirement to address differing
cultural gatherings have prompted the ubiquity of the technology of translation
in Asia Pacific. The expansion of cell phones and expanding entrance of
internet are foreseen to drive the growth of this market. Machine translation
could provide a significant resolution in reducing language boundaries
crosswise over various locales.
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Competitive Insights
Most
MT mediums are text-based and give quick translations between different
languages in the form of text. Some others do offer the choice of language
keyboards and audio input/output. Machine translation as a service (MTSaaS)
utilizes SMT and is available by means of the web. This enables clients to
alter their machine translation engine with their translation memories,
otherwise called do-it-yourself machine translation. Building up an
incorporated foundation is required to be a basic achievement factor for
picking up share of the market. Subsequently, key joint endeavors, combined
with acquisitions and mergers have been among the key procedures implemented.
The major players in the market are Lionbridge, SYSTRAN and SDL plc.
Table of Contents
1. Introduction
1.1. Report Description
1.2. Research Methodology
1.2.1. Secondary Research
1.2.2. Primary Research
2. Executive Summary
2.1. Key Highlights
3. Market Overview
3.1. Introduction
3.1.1. Market Definition
3.1.2. Market Segmentation
3.2. Market Dynamics
3.2.1. Drivers
3.2.1.1. Increasing demand for high speed translation and
cost efficiency
3.2.1.2. Rising Need for Content Localization
3.2.2. Restraints
3.2.2.1. Lack of Accuracy and Quality
3.2.3. Opportunities
3.2.3.1. Emerging Markets to Offer Lucrative Growth
Opportunities
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