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Global Machine Translation (MT) Market Size, Status and Forecast 2020-2026

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1 Report Overview

  • 1.1 Study Scope
  • 1.2 Key Market Segments
  • 1.3 Players Covered: Ranking by Machine Translation (MT) Revenue
  • 1.4 Market by Type
    • 1.4.1 Global Machine Translation (MT) Market Size Growth Rate by Type: 2020 VS 2026
    • 1.4.2 Rule-Based Machine Translation (RBMT)
    • 1.4.3 Statistical Machine Translation (SMT)
    • 1.4.4 Example-based machine translation (EBMT)
    • 1.4.5 Hybrid machine translation (HMT)
    • 1.4.6 Neural MT
  • 1.5 Market by Application
    • 1.5.1 Global Machine Translation (MT) Market Share by Application: 2020 VS 2026
    • 1.5.2 Healthcare
    • 1.5.3 Automotive
    • 1.5.4 Military & Defense
    • 1.5.5 IT
    • 1.5.6 Others
  • 1.6 Study Objectives
  • 1.7 Years Considered

2 Global Growth Trends

  • 2.1 Global Machine Translation (MT) Market Perspective (2015-2026)
  • 2.2 Global Machine Translation (MT) Growth Trends by Regions
    • 2.2.1 Machine Translation (MT) Market Size by Regions: 2015 VS 2020 VS 2026
    • 2.2.2 Machine Translation (MT) Historic Market Share by Regions (2015-2020)
    • 2.2.3 Machine Translation (MT) Forecasted Market Size by Regions (2021-2026)
  • 2.3 Industry Trends and Growth Strategy
    • 2.3.1 Market Top Trends
    • 2.3.2 Market Drivers
    • 2.3.3 Market Challenges
    • 2.3.4 Porter’s Five Forces Analysis
    • 2.3.5 Machine Translation (MT) Market Growth Strategy
    • 2.3.6 Primary Interviews with Key Machine Translation (MT) Players (Opinion Leaders)

3 Competition Landscape by Key Players

  • 3.1 Global Top Machine Translation (MT) Players by Market Size
    • 3.1.1 Global Top Machine Translation (MT) Players by Revenue (2015-2020)
    • 3.1.2 Global Machine Translation (MT) Revenue Market Share by Players (2015-2020)
    • 3.1.3 Global Machine Translation (MT) Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
  • 3.2 Global Machine Translation (MT) Market Concentration Ratio
    • 3.2.1 Global Machine Translation (MT) Market Concentration Ratio (CR5 and HHI)
    • 3.2.2 Global Top 10 and Top 5 Companies by Machine Translation (MT) Revenue in 2019
  • 3.3 Machine Translation (MT) Key Players Head office and Area Served
  • 3.4 Key Players Machine Translation (MT) Product Solution and Service
  • 3.5 Date of Enter into Machine Translation (MT) Market
  • 3.6 Mergers & Acquisitions, Expansion Plans

4 Market Size by Type (2015-2026)

  • 4.1 Global Machine Translation (MT) Historic Market Size by Type (2015-2020)
  • 4.2 Global Machine Translation (MT) Forecasted Market Size by Type (2021-2026)

5 Market Size by Application (2015-2026)

  • 5.1 Global Machine Translation (MT) Market Size by Application (2015-2020)
  • 5.2 Global Machine Translation (MT) Forecasted Market Size by Application (2021-2026)

6 North America

  • 6.1 North America Machine Translation (MT) Market Size (2015-2020)
  • 6.2 Machine Translation (MT) Key Players in North America (2019-2020)
  • 6.3 North America Machine Translation (MT) Market Size by Type (2015-2020)
  • 6.4 North America Machine Translation (MT) Market Size by Application (2015-2020)

7 Europe

  • 7.1 Europe Machine Translation (MT) Market Size (2015-2020)
  • 7.2 Machine Translation (MT) Key Players in Europe (2019-2020)
  • 7.3 Europe Machine Translation (MT) Market Size by Type (2015-2020)
  • 7.4 Europe Machine Translation (MT) Market Size by Application (2015-2020)

8 China

  • 8.1 China Machine Translation (MT) Market Size (2015-2020)
  • 8.2 Machine Translation (MT) Key Players in China (2019-2020)
  • 8.3 China Machine Translation (MT) Market Size by Type (2015-2020)
  • 8.4 China Machine Translation (MT) Market Size by Application (2015-2020)

9 Japan

  • 9.1 Japan Machine Translation (MT) Market Size (2015-2020)
  • 9.2 Machine Translation (MT) Key Players in Japan (2019-2020)
  • 9.3 Japan Machine Translation (MT) Market Size by Type (2015-2020)
  • 9.4 Japan Machine Translation (MT) Market Size by Application (2015-2020)

10 Southeast Asia

  • 10.1 Southeast Asia Machine Translation (MT) Market Size (2015-2020)
  • 10.2 Machine Translation (MT) Key Players in Southeast Asia (2019-2020)
  • 10.3 Southeast Asia Machine Translation (MT) Market Size by Type (2015-2020)
  • 10.4 Southeast Asia Machine Translation (MT) Market Size by Application (2015-2020)

11 India

  • 11.1 India Machine Translation (MT) Market Size (2015-2020)
  • 11.2 Machine Translation (MT) Key Players in India (2019-2020)
  • 11.3 India Machine Translation (MT) Market Size by Type (2015-2020)
  • 11.4 India Machine Translation (MT) Market Size by Application (2015-2020)

12 Central & South America

  • 12.1 Central & South America Machine Translation (MT) Market Size (2015-2020)
  • 12.2 Machine Translation (MT) Key Players in Central & South America (2019-2020)
  • 12.3 Central & South America Machine Translation (MT) Market Size by Type (2015-2020)
  • 12.4 Central & South America Machine Translation (MT) Market Size by Application (2015-2020)

13 Key Players Profiles

  • 13.1 AppTek
    • 13.1.1 AppTek Company Details
    • 13.1.2 AppTek Business Overview
    • 13.1.3 AppTek Machine Translation (MT) Introduction
    • 13.1.4 AppTek Revenue in Machine Translation (MT) Business (2015-2020))
    • 13.1.5 AppTek Recent Development
  • 13.2 Asia Online
    • 13.2.1 Asia Online Company Details
    • 13.2.2 Asia Online Business Overview
    • 13.2.3 Asia Online Machine Translation (MT) Introduction
    • 13.2.4 Asia Online Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.2.5 Asia Online Recent Development
  • 13.3 Cloudwords
    • 13.3.1 Cloudwords Company Details
    • 13.3.2 Cloudwords Business Overview
    • 13.3.3 Cloudwords Machine Translation (MT) Introduction
    • 13.3.4 Cloudwords Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.3.5 Cloudwords Recent Development
  • 13.4 IBM
    • 13.4.1 IBM Company Details
    • 13.4.2 IBM Business Overview
    • 13.4.3 IBM Machine Translation (MT) Introduction
    • 13.4.4 IBM Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.4.5 IBM Recent Development
  • 13.5 Lighthouse IP Group
    • 13.5.1 Lighthouse IP Group Company Details
    • 13.5.2 Lighthouse IP Group Business Overview
    • 13.5.3 Lighthouse IP Group Machine Translation (MT) Introduction
    • 13.5.4 Lighthouse IP Group Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.5.5 Lighthouse IP Group Recent Development
  • 13.6 Lingo24
    • 13.6.1 Lingo24 Company Details
    • 13.6.2 Lingo24 Business Overview
    • 13.6.3 Lingo24 Machine Translation (MT) Introduction
    • 13.6.4 Lingo24 Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.6.5 Lingo24 Recent Development
  • 13.7 Lingotek
    • 13.7.1 Lingotek Company Details
    • 13.7.2 Lingotek Business Overview
    • 13.7.3 Lingotek Machine Translation (MT) Introduction
    • 13.7.4 Lingotek Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.7.5 Lingotek Recent Development
  • 13.8 Lionbridge Technologies
    • 13.8.1 Lionbridge Technologies Company Details
    • 13.8.2 Lionbridge Technologies Business Overview
    • 13.8.3 Lionbridge Technologies Machine Translation (MT) Introduction
    • 13.8.4 Lionbridge Technologies Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.8.5 Lionbridge Technologies Recent Development
  • 13.9 Lucy Software and Services
    • 13.9.1 Lucy Software and Services Company Details
    • 13.9.2 Lucy Software and Services Business Overview
    • 13.9.3 Lucy Software and Services Machine Translation (MT) Introduction
    • 13.9.4 Lucy Software and Services Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.9.5 Lucy Software and Services Recent Development
  • 13.10 Moravia IT
    • 13.10.1 Moravia IT Company Details
    • 13.10.2 Moravia IT Business Overview
    • 13.10.3 Moravia IT Machine Translation (MT) Introduction
    • 13.10.4 Moravia IT Revenue in Machine Translation (MT) Business (2015-2020)
    • 13.10.5 Moravia IT Recent Development
  • 13.11 Pangeanic
    • 10.11.1 Pangeanic Company Details
    • 10.11.2 Pangeanic Business Overview
    • 10.11.3 Pangeanic Machine Translation (MT) Introduction
    • 10.11.4 Pangeanic Revenue in Machine Translation (MT) Business (2015-2020)
    • 10.11.5 Pangeanic Recent Development
  • 13.12 ProMT
    • 10.12.1 ProMT Company Details
    • 10.12.2 ProMT Business Overview
    • 10.12.3 ProMT Machine Translation (MT) Introduction
    • 10.12.4 ProMT Revenue in Machine Translation (MT) Business (2015-2020)
    • 10.12.5 ProMT Recent Development
  • 13.13 Raytheon BBN Technologies
    • 10.13.1 Raytheon BBN Technologies Company Details
    • 10.13.2 Raytheon BBN Technologies Business Overview
    • 10.13.3 Raytheon BBN Technologies Machine Translation (MT) Introduction
    • 10.13.4 Raytheon BBN Technologies Revenue in Machine Translation (MT) Business (2015-2020)
    • 10.13.5 Raytheon BBN Technologies Recent Development
  • 13.14 SDL
    • 10.14.1 SDL Company Details
    • 10.14.2 SDL Business Overview
    • 10.14.3 SDL Machine Translation (MT) Introduction
    • 10.14.4 SDL Revenue in Machine Translation (MT) Business (2015-2020)
    • 10.14.5 SDL Recent Development
  • 13.15 Smart Communications
    • 10.15.1 Smart Communications Company Details
    • 10.15.2 Smart Communications Business Overview
    • 10.15.3 Smart Communications Machine Translation (MT) Introduction
    • 10.15.4 Smart Communications Revenue in Machine Translation (MT) Business (2015-2020)
    • 10.15.5 Smart Communications Recent Development
  • 13.16 Systran International
    • 10.16.1 Systran International Company Details
    • 10.16.2 Systran International Business Overview
    • 10.16.3 Systran International Machine Translation (MT) Introduction
    • 10.16.4 Systran International Revenue in Machine Translation (MT) Business (2015-2020)
    • 10.16.5 Systran International Recent Development
  • 13.17 Welocalize
    • 10.17.1 Welocalize Company Details
    • 10.17.2 Welocalize Business Overview
    • 10.17.3 Welocalize Machine Translation (MT) Introduction
    • 10.17.4 Welocalize Revenue in Machine Translation (MT) Business (2015-2020)
    • 10.17.5 Welocalize Recent Development

14 Analyst's Viewpoints/Conclusions

    15 Appendix

    • 15.1 Research Methodology
      • 15.1.1 Methodology/Research Approach
      • 15.1.2 Data Source
    • 15.2 Disclaimer

    Machine Translation (MT) market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Machine Translation (MT) market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

    The key players covered in this study
    AppTek
    Asia Online
    Cloudwords
    IBM
    Lighthouse IP Group
    Lingo24
    Lingotek
    Lionbridge Technologies
    Lucy Software and Services
    Moravia IT
    Pangeanic
    ProMT
    Raytheon BBN Technologies
    SDL
    Smart Communications
    Systran International
    Welocalize

    Market segment by Type, the product can be split into
    Rule-Based Machine Translation (RBMT)
    Statistical Machine Translation (SMT)
    Example-based machine translation (EBMT)
    Hybrid machine translation (HMT)
    Neural MT
    Market segment by Application, split into
    Healthcare
    Automotive
    Military & Defense
    IT
    Others

    Market segment by Regions/Countries, this report covers
    North America
    Europe
    China
    Japan
    Southeast Asia
    India
    Central & South America

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