The global machine translation market is expected to reach USD 983.3
million by 2022. Technological advancements have led to the development of
sophisticated translation technology with minimal errors and grammatical
coherence, which has considerably widened the scope for machine translation.
The ability to rapidly, seamlessly and cost-effectively translate documents and
content in regional languages has spurred the machine translation market over
the past few years.
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Further key
findings from the study suggest:
Electronics and automotive industries are expected to gain significant
market share by 2022. Application of machine translation in healthcare is
expected to gain market share over the next six years. The need for accurate
and timely translation of a large amount of content is expected to drive demand
in various application industries.
Training of SMT-based translation engines consists of feeding in millions
of segments of glossaries, bilingual texts, etc. for the engine to learn by
examples. The demand for SMT has significantly increased over the past few
years, due to its effectiveness over RBMT in terms of time and cost. It is also
expected to remain the largest technology market through 2022.
Table Of Content
Chapter 1.
Methodology and Scope
1.1. Research
Methodology
1.2. Research Scope
& Assumption
1.3. List of Data
Sources
Chapter 2.
Executive Summary
2.1. Machine
Translation - Industry Snapshot and Key Buying Criteria, 2012 – 2022
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Chapter 3. Machine Translation Industry Outlook
3.1. Market segmentation
3.2. Market size and growth
prospects
3.3. Machine translation
technology roadmap
3.4. Machine translation value
chain analysis
3.5. Machine translation market
dynamics
3.6. Key opportunities
prioritized
3.7. Industry analysis -
Porter's
3.8. Machine translation - Key
competitor analysis, 2014
3.9. Machine translation -
PESTEL analysis
Chapter 4. Machine Translation Application
Outlook
4.1. Automotive
4.2. Military & Defense
4.3. Electronics
4.4. IT
4.5. Healthcare
4.6. Others
Chapter 5. Machine Translation Technology
Outlook
5.1. RBMT
5.2. SMT
5.3. Others
Chapter 6. Machine Translation Regional Outlook
6.1. North America
6.2. Europe
6.3. Asia Pacific
6.4. Latin Americ
6.5. MEA
Chapter 7. Competitive Landscape
7.1. AppTek
7.2. Asia Online Pte Ltd.
7.3. Cloudwords Inc.
7.4. IBM Corporation
7.5. Lighthouse IP Group
7.6. Lingo24 Ltd.
7.7. Lingotek Inc.
7.8. Lionbridge Technologies
Inc.
7.9. Lucy Software and Services
GmbH
7.10. Moravia IT
7.11. Pangeanic
7.12. ProMT
7.13. Raytheon BBN Technologies
7.14. SDL PLC
7.15. Smart Communications
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