Global Machine Translation
Global Machine Translation

Machine Translation Comprehensive Study by Type (Rule-Based Machine Translation (RBMT), Statistical Machine Translation (SMT), Example-Based Machine Translation (EBMT), Hybrid Machine Translation (HMT), Neural Machine Translation (MT)), Application (Automotive, Military & Defense, Electronics, IT, Healthcare, Others) Players and Region - Global Market Outlook to 2024

Machine Translation Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024 | CAGR: 14.12%  

Sep 2019 Edition 203 Pages 220 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Scope of the Study

Over the past few decades, due to increasing international trades across the globe, the need for language translators is needed. In addition to this, manual translators are time-consuming and not totally reliable. Thus, the introduction to machine translators has minimized the time consumed as well as increased the reliability of the machine translators. Machine translation (MT) is an automated translation process by which computer software is used to translate a text from one natural language (such as mostly used language like English) to another language (Italian, Spanish and many others). The increasing demand from numerous applications will further show lucrative growth over the forecasted period.

The market study is being classified by Type (Rule-Based Machine Translation (RBMT), Statistical Machine Translation (SMT), Example-Based Machine Translation (EBMT), Hybrid Machine Translation (HMT) and Neural Machine Translation (MT)), by Application (Automotive, Military & Defense, Electronics, IT, Healthcare and Others) and major geographies with country level break-up. According to AMA, the Global Machine Translation market is expected to see growth rate of 14.12% and may see market size of USD1290.98 Million by 2024.

Applications Technology (AppTek) (United States), Asia Online Pte Ltd. (Singapore), Cloudwords Inc. (United States), IBM Corporation (United States), Lighthouse IP Group (United States), Lingo24 Ltd. (United Kingdom), Lingotek Inc. (United States), Lionbridge Technologies, Inc. (United States), Lucy Software and Services GmbH (Germany), RWS Holdings (Moravia IT) (United Kingdom), Pangeanic (Spain) and ProMT (Russia) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are BBN Technologies (United States), SDL plc (United Kingdom), Smart Communications, Inc. (Philippines), Systran International (United States) and Welocalize Inc.(United States).

Research Analyst at AMA predicts that European Players will contribute to the maximum growth of Global Machine Translation market throughout the predicted period.

Segment Analysis
AdvanceMarketAnalytics has segmented the market of Global Machine Translation market by Type, Application and Region.

On the basis of geography, the market of Machine Translation has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Upsurging Need for Timely and Accurate Translation of Large Amounts
  • Existence of Larger Developers and Increasing Government Initiatives Assisting Machine Translation

Market Trend
  • Increasing Adoption of Artificially Intelligent Machine Translators
  • Introduction to Video Localization Leading to Increasing Regional Expansion

Restraints
  • Complexities in Maintaining Operational Consistency and Reliability
  • Lack of Skilled Workforce Required for Developing Machine Translators

Opportunities
  • Time Saving Operations has led to Improved Business Growth
  • Provides Comparatively Cheaper Solution for Software Solutions

Challenges
  • Hard to Design Automated Translator Based on Human Intelligence and Error Handling Capability





Key Target Audience
Machine Translation Providers, Machine Translator Manufacturers, Machine Translator Distributors and Suppliers, Machine Translators Industry Associations, Research and Development Institutes, Government Agencies, Upstream and Downstream Buyers and Others

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Type
  • Rule-Based Machine Translation (RBMT)
  • Statistical Machine Translation (SMT)
  • Example-Based Machine Translation (EBMT)
  • Hybrid Machine Translation (HMT)
  • Neural Machine Translation (MT)
By Application
  • Automotive
  • Military & Defense
  • Electronics
  • IT
  • Healthcare
  • Others
By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Upsurging Need for Timely and Accurate Translation of Large Amounts
      • 3.2.2. Existence of Larger Developers and Increasing Government Initiatives Assisting Machine Translation
    • 3.3. Market Challenges
      • 3.3.1. Hard to Design Automated Translator Based on Human Intelligence and Error Handling Capability
    • 3.4. Market Trends
      • 3.4.1. Increasing Adoption of Artificially Intelligent Machine Translators
      • 3.4.2. Introduction to Video Localization Leading to Increasing Regional Expansion
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Machine Translation, by Type, Application and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Machine Translation (Value)
      • 5.2.1. Global Machine Translation by: Type (Value)
        • 5.2.1.1. Rule-Based Machine Translation (RBMT)
        • 5.2.1.2. Statistical Machine Translation (SMT)
        • 5.2.1.3. Example-Based Machine Translation (EBMT)
        • 5.2.1.4. Hybrid Machine Translation (HMT)
        • 5.2.1.5. Neural Machine Translation (MT)
      • 5.2.2. Global Machine Translation by: Application (Value)
        • 5.2.2.1. Automotive
        • 5.2.2.2. Military & Defense
        • 5.2.2.3. Electronics
        • 5.2.2.4. IT
        • 5.2.2.5. Healthcare
        • 5.2.2.6. Others
      • 5.2.3. Global Machine Translation Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Machine Translation: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Applications Technology (AppTek) (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Asia Online Pte Ltd. (Singapore)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Cloudwords Inc. (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. IBM Corporation (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Lighthouse IP Group (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Lingo24 Ltd. (United Kingdom)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Lingotek Inc. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Lionbridge Technologies, Inc. (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Lucy Software and Services GmbH (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. RWS Holdings (Moravia IT) (United Kingdom)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Pangeanic (Spain)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. ProMT (Russia)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Appendix
    • 7.1. Acronyms
  • 8. Methodology and Data Source
    • 8.1. Methodology/Research Approach
      • 8.1.1. Research Programs/Design
      • 8.1.2. Market Size Estimation
      • 8.1.3. Market Breakdown and Data Triangulation
    • 8.2. Data Source
      • 8.2.1. Secondary Sources
      • 8.2.2. Primary Sources
    • 8.3. Disclaimer
List of Tables
  • Table 1. Machine Translation: by Type(USD Million)
  • Table 2. Machine Translation Rule-Based Machine Translation (RBMT) , by Region USD Million (2013-2018)
  • Table 3. Machine Translation Statistical Machine Translation (SMT) , by Region USD Million (2013-2018)
  • Table 4. Machine Translation Example-Based Machine Translation (EBMT) , by Region USD Million (2013-2018)
  • Table 5. Machine Translation Hybrid Machine Translation (HMT) , by Region USD Million (2013-2018)
  • Table 6. Machine Translation Neural Machine Translation (MT) , by Region USD Million (2013-2018)
  • Table 7. Machine Translation: by Application(USD Million)
  • Table 8. Machine Translation Automotive , by Region USD Million (2013-2018)
  • Table 9. Machine Translation Military & Defense , by Region USD Million (2013-2018)
  • Table 10. Machine Translation Electronics , by Region USD Million (2013-2018)
  • Table 11. Machine Translation IT , by Region USD Million (2013-2018)
  • Table 12. Machine Translation Healthcare , by Region USD Million (2013-2018)
  • Table 13. Machine Translation Others , by Region USD Million (2013-2018)
  • Table 14. South America Machine Translation, by Country USD Million (2013-2018)
  • Table 15. South America Machine Translation, by Type USD Million (2013-2018)
  • Table 16. South America Machine Translation, by Application USD Million (2013-2018)
  • Table 17. Brazil Machine Translation, by Type USD Million (2013-2018)
  • Table 18. Brazil Machine Translation, by Application USD Million (2013-2018)
  • Table 19. Argentina Machine Translation, by Type USD Million (2013-2018)
  • Table 20. Argentina Machine Translation, by Application USD Million (2013-2018)
  • Table 21. Rest of South America Machine Translation, by Type USD Million (2013-2018)
  • Table 22. Rest of South America Machine Translation, by Application USD Million (2013-2018)
  • Table 23. Asia Pacific Machine Translation, by Country USD Million (2013-2018)
  • Table 24. Asia Pacific Machine Translation, by Type USD Million (2013-2018)
  • Table 25. Asia Pacific Machine Translation, by Application USD Million (2013-2018)
  • Table 26. China Machine Translation, by Type USD Million (2013-2018)
  • Table 27. China Machine Translation, by Application USD Million (2013-2018)
  • Table 28. Japan Machine Translation, by Type USD Million (2013-2018)
  • Table 29. Japan Machine Translation, by Application USD Million (2013-2018)
  • Table 30. India Machine Translation, by Type USD Million (2013-2018)
  • Table 31. India Machine Translation, by Application USD Million (2013-2018)
  • Table 32. South Korea Machine Translation, by Type USD Million (2013-2018)
  • Table 33. South Korea Machine Translation, by Application USD Million (2013-2018)
  • Table 34. Taiwan Machine Translation, by Type USD Million (2013-2018)
  • Table 35. Taiwan Machine Translation, by Application USD Million (2013-2018)
  • Table 36. Australia Machine Translation, by Type USD Million (2013-2018)
  • Table 37. Australia Machine Translation, by Application USD Million (2013-2018)
  • Table 38. Rest of Asia-Pacific Machine Translation, by Type USD Million (2013-2018)
  • Table 39. Rest of Asia-Pacific Machine Translation, by Application USD Million (2013-2018)
  • Table 40. Europe Machine Translation, by Country USD Million (2013-2018)
  • Table 41. Europe Machine Translation, by Type USD Million (2013-2018)
  • Table 42. Europe Machine Translation, by Application USD Million (2013-2018)
  • Table 43. Germany Machine Translation, by Type USD Million (2013-2018)
  • Table 44. Germany Machine Translation, by Application USD Million (2013-2018)
  • Table 45. France Machine Translation, by Type USD Million (2013-2018)
  • Table 46. France Machine Translation, by Application USD Million (2013-2018)
  • Table 47. Italy Machine Translation, by Type USD Million (2013-2018)
  • Table 48. Italy Machine Translation, by Application USD Million (2013-2018)
  • Table 49. United Kingdom Machine Translation, by Type USD Million (2013-2018)
  • Table 50. United Kingdom Machine Translation, by Application USD Million (2013-2018)
  • Table 51. Netherlands Machine Translation, by Type USD Million (2013-2018)
  • Table 52. Netherlands Machine Translation, by Application USD Million (2013-2018)
  • Table 53. Rest of Europe Machine Translation, by Type USD Million (2013-2018)
  • Table 54. Rest of Europe Machine Translation, by Application USD Million (2013-2018)
  • Table 55. MEA Machine Translation, by Country USD Million (2013-2018)
  • Table 56. MEA Machine Translation, by Type USD Million (2013-2018)
  • Table 57. MEA Machine Translation, by Application USD Million (2013-2018)
  • Table 58. Middle East Machine Translation, by Type USD Million (2013-2018)
  • Table 59. Middle East Machine Translation, by Application USD Million (2013-2018)
  • Table 60. Africa Machine Translation, by Type USD Million (2013-2018)
  • Table 61. Africa Machine Translation, by Application USD Million (2013-2018)
  • Table 62. North America Machine Translation, by Country USD Million (2013-2018)
  • Table 63. North America Machine Translation, by Type USD Million (2013-2018)
  • Table 64. North America Machine Translation, by Application USD Million (2013-2018)
  • Table 65. United States Machine Translation, by Type USD Million (2013-2018)
  • Table 66. United States Machine Translation, by Application USD Million (2013-2018)
  • Table 67. Canada Machine Translation, by Type USD Million (2013-2018)
  • Table 68. Canada Machine Translation, by Application USD Million (2013-2018)
  • Table 69. Mexico Machine Translation, by Type USD Million (2013-2018)
  • Table 70. Mexico Machine Translation, by Application USD Million (2013-2018)
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Company Basic Information, Sales Area and Its Competitors
  • Table 77. Company Basic Information, Sales Area and Its Competitors
  • Table 78. Company Basic Information, Sales Area and Its Competitors
  • Table 79. Company Basic Information, Sales Area and Its Competitors
  • Table 80. Company Basic Information, Sales Area and Its Competitors
  • Table 81. Company Basic Information, Sales Area and Its Competitors
  • Table 82. Company Basic Information, Sales Area and Its Competitors
  • Table 83. Research Programs/Design for This Report
  • Table 84. Key Data Information from Secondary Sources
  • Table 85. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Machine Translation: by Type USD Million (2013-2018)
  • Figure 5. Global Machine Translation: by Application USD Million (2013-2018)
  • Figure 6. South America Machine Translation Share (%), by Country
  • Figure 7. Asia Pacific Machine Translation Share (%), by Country
  • Figure 8. Europe Machine Translation Share (%), by Country
  • Figure 9. MEA Machine Translation Share (%), by Country
  • Figure 10. North America Machine Translation Share (%), by Country
  • Figure 11. Global Machine Translation share by Players 2018 (%)
  • Figure 12. Global Machine Translation share by Players (Top 3) 2018(%)
  • Figure 13. Global Machine Translation share by Players (Top 5) 2018(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Applications Technology (AppTek) (United States) Revenue, Net Income and Gross profit
  • Figure 16. Applications Technology (AppTek) (United States) Revenue: by Geography 2018
  • Figure 17. Asia Online Pte Ltd. (Singapore) Revenue, Net Income and Gross profit
  • Figure 18. Asia Online Pte Ltd. (Singapore) Revenue: by Geography 2018
  • Figure 19. Cloudwords Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. Cloudwords Inc. (United States) Revenue: by Geography 2018
  • Figure 21. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation (United States) Revenue: by Geography 2018
  • Figure 23. Lighthouse IP Group (United States) Revenue, Net Income and Gross profit
  • Figure 24. Lighthouse IP Group (United States) Revenue: by Geography 2018
  • Figure 25. Lingo24 Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 26. Lingo24 Ltd. (United Kingdom) Revenue: by Geography 2018
  • Figure 27. Lingotek Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Lingotek Inc. (United States) Revenue: by Geography 2018
  • Figure 29. Lionbridge Technologies, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Lionbridge Technologies, Inc. (United States) Revenue: by Geography 2018
  • Figure 31. Lucy Software and Services GmbH (Germany) Revenue, Net Income and Gross profit
  • Figure 32. Lucy Software and Services GmbH (Germany) Revenue: by Geography 2018
  • Figure 33. RWS Holdings (Moravia IT) (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 34. RWS Holdings (Moravia IT) (United Kingdom) Revenue: by Geography 2018
  • Figure 35. Pangeanic (Spain) Revenue, Net Income and Gross profit
  • Figure 36. Pangeanic (Spain) Revenue: by Geography 2018
  • Figure 37. ProMT (Russia) Revenue, Net Income and Gross profit
  • Figure 38. ProMT (Russia) Revenue: by Geography 2018
Some of the key companies/manufacturers profiled in the report
  • Applications Technology (AppTek) (United States)
  • Asia Online Pte Ltd. (Singapore)
  • Cloudwords Inc. (United States)
  • IBM Corporation (United States)
  • Lighthouse IP Group (United States)
  • Lingo24 Ltd. (United Kingdom)
  • Lingotek Inc. (United States)
  • Lionbridge Technologies, Inc. (United States)
  • Lucy Software and Services GmbH (Germany)
  • RWS Holdings (Moravia IT) (United Kingdom)
  • Pangeanic (Spain)
  • ProMT (Russia)
Additional players considered in the study are as follows:
BBN Technologies (United States) , SDL plc (United Kingdom) , Smart Communications, Inc. (Philippines) , Systran International (United States) , Welocalize Inc.(United States)
Select License Type
Sample Report Enquiry Before Buy Request Discount

Speak with Analyst

Want to find out more about this report?

Get Free Consultation