Global Machine Translation (MT) Market Size, Share & Trends Analysis Report - Forecast to 2022 -

DUBLIN--()--The "Machine Translation (MT) Market Size, Share & Trends Analysis Report By Application (Automotive, Military & Defense, Electronics, IT, Healthcare), By Technology, By Region, And Segment Forecasts, 2012 - 2022" report has been added to's offering.

The global machine translation market size is expected to reach USD 983.3 million by 2022, exhibiting a 14.6% CAGR during the forecast period. The reinvention of computer-aided translational tools and growth of adaptive machine translation has considerably widened the scope of the machine translation market.

Key players are increasing their focus on developing advanced MT systems to meet growing consumer needs. For instance, Lilt Inc. has launched an adaptive neural machine translation system to use real-time feedback loop and Artificial Intelligence (AI) to boost the productivity of a human translator. Moreover, the technology is expected to offer opportunities to people for communicating and accessing information in a particular language. This system goes beyond Facebook, Inc.; Apple Inc.; and Microsoft Corporation's product offerings.

Globalization has significantly contributed to addressing the need for linguistically diverse local audiences. Growing importance of businesses in emerging markets, creation of online content, and need for enabling global collaboration among employees is expected to drive market growth over the forecast period.

Need for organizations to localize their content in several languages to capture international markets is expected to bolster demand for MT systems. Adoption of such systems and instant web publishing requirements is further expected to improve user experience by developing multilingual engagement across different content types.

Growing importance of cloud computing has resulted in increasing demand for cloud-based translation tools. Moreover, delivery of Machine Translation Software-as-a-Service (MTSaaS) over secure cloud offerings accommodated in data centers is expected to offer considerable growth opportunities.

The convergence of Translation Memories (TM) and MT is expected to fully integrate workflows. TM store sentences and paragraphs that were previously translated to aid human translators, accelerating translation projects and reducing costs. Furthermore, the industry has gravitated toward the use of Bilingual Evaluation Understudy (BLEU) as a useful measurement of translation quality. BLEU is a method for automatic evaluation of MT, which is inexpensive and language independent.

Further key findings from the study suggest:

  • The automotive and electronics industries are anticipated to gain substantial market share by 2022 owing to need for timely and accurate translation of large amounts of content in various application segments
  • The MT market in automotive applications is expected to value around USD 140 million by 2022
  • Existence of a large number of players and government initiatives supporting machine translation has impacted industry growth positively in U.S. Google Inc. and Microsoft Corporation have made SMT technology popular with their free online engines in the country
  • Demand for Statistical Machine Translation (SMT) has significantly increased over the past few years, due toits effectiveness over Rule-Based Machine Translation (RBMT) in terms of time and cost
  • SMT contributed to more than 65% of the overall MT market revenue
  • Key players in the industry include IBM Corporation; SDL PLC; Lionbridge Technologies Inc.; Asia Online Pte Ltd.; and Lighthouse IP Group

Key Topics Covered

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

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 America

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

7.16. Systran International

7.17. Welocalize Inc.

For more information about this report visit

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related Topics: Natural Language Processing

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related Topics: Natural Language Processing