AI Translation Comprehensive Study by Type (Translation App, Translation Machine), Application (Travel, Online Education) Players and Region - Global Market Outlook to 2028

AI Translation Market by XX Submarkets | Forecast Years 2023-2028  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global AI Translation Market Overview:
AI translator is the digital tool which uses advanced artificial intelligence to translate the words that are written or spoken, and also to translate the meaning (and sometimes sentiment) of the message. It results in greater accuracy and fewer misunderstandings than while using simple machine translation. The technology works well due to the ability of managing large amount of data and offers higher quality results.

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Penetration of Technological Giants, Such as Google, Baidu, Lionbridge, and Systran,

Market Growth Drivers:
Increasing Need for Cost Efficiency and High-Speed Translation and High Accuracy and Quality

Challenges:
Higher Competition among the Players

Restraints:
Availability of Alternative Solution for Translations

Opportunities:
Demand for Content Localisation and Rising Requirement for Better Marketing Communications

Competitive Landscape:
The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies.
Some of the key players profiled in the report are Google (United States), Facebook (United States), Microsoft (United States), SoundAI (China), MI (China), Rozetta (Australia), Alibaba (China), NetEase (China), Souhu (China) and Tencent (China). Additionally, following companies can also be profiled that are part of our coverage like ByteDance (China). Analyst at AMA Research see United States Players to retain maximum share of Global AI Translation market by 2028.

Latest Market Insights:
In January 2020, Google has acquired AppSheet which is the intelligent no-code platform for business apps.

What Can be Explored with the AI Translation Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global AI Translation Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in AI Translation
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global AI Translation market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in AI Translation market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Software developers, Government associations, Research organisations, software vendors and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Translation App
  • Translation Machine
By Application
  • Travel
  • Online Education
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. Increasing Need for Cost Efficiency and High-Speed Translation
      • 3.2.2. High Accuracy and Quality
    • 3.3. Market Challenges
      • 3.3.1. Higher Competition among the Players
    • 3.4. Market Trends
      • 3.4.1. Penetration of Technological Giants, Such as Google, Baidu, Lionbridge, and Systran,
  • 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 AI Translation, by Type, Application and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI Translation (Value)
      • 5.2.1. Global AI Translation by: Type (Value)
        • 5.2.1.1. Translation App
        • 5.2.1.2. Translation Machine
      • 5.2.2. Global AI Translation by: Application (Value)
        • 5.2.2.1. Travel
        • 5.2.2.2. Online Education
      • 5.2.3. Global AI 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
    • 5.3. Global AI Translation (Price)
      • 5.3.1. Global AI Translation by: Type (Price)
  • 6. AI 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Google (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. Facebook (United States)
        • 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. Microsoft (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. SoundAI (China)
        • 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. MI (China)
        • 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. Rozetta (Australia)
        • 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. Alibaba (China)
        • 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. NetEase (China)
        • 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. Souhu (China)
        • 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. Tencent (China)
        • 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
  • 7. Global AI Translation Sale, by Type, Application and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI Translation (Value)
      • 7.2.1. Global AI Translation by: Type (Value)
        • 7.2.1.1. Translation App
        • 7.2.1.2. Translation Machine
      • 7.2.2. Global AI Translation by: Application (Value)
        • 7.2.2.1. Travel
        • 7.2.2.2. Online Education
      • 7.2.3. Global AI Translation Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
    • 7.3. Global AI Translation (Price)
      • 7.3.1. Global AI Translation by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI Translation: by Type(USD Million)
  • Table 2. AI Translation Translation App , by Region USD Million (2017-2022)
  • Table 3. AI Translation Translation Machine , by Region USD Million (2017-2022)
  • Table 4. AI Translation: by Application(USD Million)
  • Table 5. AI Translation Travel , by Region USD Million (2017-2022)
  • Table 6. AI Translation Online Education , by Region USD Million (2017-2022)
  • Table 7. South America AI Translation, by Country USD Million (2017-2022)
  • Table 8. South America AI Translation, by Type USD Million (2017-2022)
  • Table 9. South America AI Translation, by Application USD Million (2017-2022)
  • Table 10. Brazil AI Translation, by Type USD Million (2017-2022)
  • Table 11. Brazil AI Translation, by Application USD Million (2017-2022)
  • Table 12. Argentina AI Translation, by Type USD Million (2017-2022)
  • Table 13. Argentina AI Translation, by Application USD Million (2017-2022)
  • Table 14. Rest of South America AI Translation, by Type USD Million (2017-2022)
  • Table 15. Rest of South America AI Translation, by Application USD Million (2017-2022)
  • Table 16. Asia Pacific AI Translation, by Country USD Million (2017-2022)
  • Table 17. Asia Pacific AI Translation, by Type USD Million (2017-2022)
  • Table 18. Asia Pacific AI Translation, by Application USD Million (2017-2022)
  • Table 19. China AI Translation, by Type USD Million (2017-2022)
  • Table 20. China AI Translation, by Application USD Million (2017-2022)
  • Table 21. Japan AI Translation, by Type USD Million (2017-2022)
  • Table 22. Japan AI Translation, by Application USD Million (2017-2022)
  • Table 23. India AI Translation, by Type USD Million (2017-2022)
  • Table 24. India AI Translation, by Application USD Million (2017-2022)
  • Table 25. South Korea AI Translation, by Type USD Million (2017-2022)
  • Table 26. South Korea AI Translation, by Application USD Million (2017-2022)
  • Table 27. Taiwan AI Translation, by Type USD Million (2017-2022)
  • Table 28. Taiwan AI Translation, by Application USD Million (2017-2022)
  • Table 29. Australia AI Translation, by Type USD Million (2017-2022)
  • Table 30. Australia AI Translation, by Application USD Million (2017-2022)
  • Table 31. Rest of Asia-Pacific AI Translation, by Type USD Million (2017-2022)
  • Table 32. Rest of Asia-Pacific AI Translation, by Application USD Million (2017-2022)
  • Table 33. Europe AI Translation, by Country USD Million (2017-2022)
  • Table 34. Europe AI Translation, by Type USD Million (2017-2022)
  • Table 35. Europe AI Translation, by Application USD Million (2017-2022)
  • Table 36. Germany AI Translation, by Type USD Million (2017-2022)
  • Table 37. Germany AI Translation, by Application USD Million (2017-2022)
  • Table 38. France AI Translation, by Type USD Million (2017-2022)
  • Table 39. France AI Translation, by Application USD Million (2017-2022)
  • Table 40. Italy AI Translation, by Type USD Million (2017-2022)
  • Table 41. Italy AI Translation, by Application USD Million (2017-2022)
  • Table 42. United Kingdom AI Translation, by Type USD Million (2017-2022)
  • Table 43. United Kingdom AI Translation, by Application USD Million (2017-2022)
  • Table 44. Netherlands AI Translation, by Type USD Million (2017-2022)
  • Table 45. Netherlands AI Translation, by Application USD Million (2017-2022)
  • Table 46. Rest of Europe AI Translation, by Type USD Million (2017-2022)
  • Table 47. Rest of Europe AI Translation, by Application USD Million (2017-2022)
  • Table 48. MEA AI Translation, by Country USD Million (2017-2022)
  • Table 49. MEA AI Translation, by Type USD Million (2017-2022)
  • Table 50. MEA AI Translation, by Application USD Million (2017-2022)
  • Table 51. Middle East AI Translation, by Type USD Million (2017-2022)
  • Table 52. Middle East AI Translation, by Application USD Million (2017-2022)
  • Table 53. Africa AI Translation, by Type USD Million (2017-2022)
  • Table 54. Africa AI Translation, by Application USD Million (2017-2022)
  • Table 55. North America AI Translation, by Country USD Million (2017-2022)
  • Table 56. North America AI Translation, by Type USD Million (2017-2022)
  • Table 57. North America AI Translation, by Application USD Million (2017-2022)
  • Table 58. United States AI Translation, by Type USD Million (2017-2022)
  • Table 59. United States AI Translation, by Application USD Million (2017-2022)
  • Table 60. Canada AI Translation, by Type USD Million (2017-2022)
  • Table 61. Canada AI Translation, by Application USD Million (2017-2022)
  • Table 62. Mexico AI Translation, by Type USD Million (2017-2022)
  • Table 63. Mexico AI Translation, by Application USD Million (2017-2022)
  • Table 64. AI Translation: by Type(USD/Units)
  • Table 65. Company Basic Information, Sales Area and Its Competitors
  • Table 66. Company Basic Information, Sales Area and Its Competitors
  • Table 67. Company Basic Information, Sales Area and Its Competitors
  • Table 68. Company Basic Information, Sales Area and Its Competitors
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • 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. AI Translation: by Type(USD Million)
  • Table 76. AI Translation Translation App , by Region USD Million (2023-2028)
  • Table 77. AI Translation Translation Machine , by Region USD Million (2023-2028)
  • Table 78. AI Translation: by Application(USD Million)
  • Table 79. AI Translation Travel , by Region USD Million (2023-2028)
  • Table 80. AI Translation Online Education , by Region USD Million (2023-2028)
  • Table 81. South America AI Translation, by Country USD Million (2023-2028)
  • Table 82. South America AI Translation, by Type USD Million (2023-2028)
  • Table 83. South America AI Translation, by Application USD Million (2023-2028)
  • Table 84. Brazil AI Translation, by Type USD Million (2023-2028)
  • Table 85. Brazil AI Translation, by Application USD Million (2023-2028)
  • Table 86. Argentina AI Translation, by Type USD Million (2023-2028)
  • Table 87. Argentina AI Translation, by Application USD Million (2023-2028)
  • Table 88. Rest of South America AI Translation, by Type USD Million (2023-2028)
  • Table 89. Rest of South America AI Translation, by Application USD Million (2023-2028)
  • Table 90. Asia Pacific AI Translation, by Country USD Million (2023-2028)
  • Table 91. Asia Pacific AI Translation, by Type USD Million (2023-2028)
  • Table 92. Asia Pacific AI Translation, by Application USD Million (2023-2028)
  • Table 93. China AI Translation, by Type USD Million (2023-2028)
  • Table 94. China AI Translation, by Application USD Million (2023-2028)
  • Table 95. Japan AI Translation, by Type USD Million (2023-2028)
  • Table 96. Japan AI Translation, by Application USD Million (2023-2028)
  • Table 97. India AI Translation, by Type USD Million (2023-2028)
  • Table 98. India AI Translation, by Application USD Million (2023-2028)
  • Table 99. South Korea AI Translation, by Type USD Million (2023-2028)
  • Table 100. South Korea AI Translation, by Application USD Million (2023-2028)
  • Table 101. Taiwan AI Translation, by Type USD Million (2023-2028)
  • Table 102. Taiwan AI Translation, by Application USD Million (2023-2028)
  • Table 103. Australia AI Translation, by Type USD Million (2023-2028)
  • Table 104. Australia AI Translation, by Application USD Million (2023-2028)
  • Table 105. Rest of Asia-Pacific AI Translation, by Type USD Million (2023-2028)
  • Table 106. Rest of Asia-Pacific AI Translation, by Application USD Million (2023-2028)
  • Table 107. Europe AI Translation, by Country USD Million (2023-2028)
  • Table 108. Europe AI Translation, by Type USD Million (2023-2028)
  • Table 109. Europe AI Translation, by Application USD Million (2023-2028)
  • Table 110. Germany AI Translation, by Type USD Million (2023-2028)
  • Table 111. Germany AI Translation, by Application USD Million (2023-2028)
  • Table 112. France AI Translation, by Type USD Million (2023-2028)
  • Table 113. France AI Translation, by Application USD Million (2023-2028)
  • Table 114. Italy AI Translation, by Type USD Million (2023-2028)
  • Table 115. Italy AI Translation, by Application USD Million (2023-2028)
  • Table 116. United Kingdom AI Translation, by Type USD Million (2023-2028)
  • Table 117. United Kingdom AI Translation, by Application USD Million (2023-2028)
  • Table 118. Netherlands AI Translation, by Type USD Million (2023-2028)
  • Table 119. Netherlands AI Translation, by Application USD Million (2023-2028)
  • Table 120. Rest of Europe AI Translation, by Type USD Million (2023-2028)
  • Table 121. Rest of Europe AI Translation, by Application USD Million (2023-2028)
  • Table 122. MEA AI Translation, by Country USD Million (2023-2028)
  • Table 123. MEA AI Translation, by Type USD Million (2023-2028)
  • Table 124. MEA AI Translation, by Application USD Million (2023-2028)
  • Table 125. Middle East AI Translation, by Type USD Million (2023-2028)
  • Table 126. Middle East AI Translation, by Application USD Million (2023-2028)
  • Table 127. Africa AI Translation, by Type USD Million (2023-2028)
  • Table 128. Africa AI Translation, by Application USD Million (2023-2028)
  • Table 129. North America AI Translation, by Country USD Million (2023-2028)
  • Table 130. North America AI Translation, by Type USD Million (2023-2028)
  • Table 131. North America AI Translation, by Application USD Million (2023-2028)
  • Table 132. United States AI Translation, by Type USD Million (2023-2028)
  • Table 133. United States AI Translation, by Application USD Million (2023-2028)
  • Table 134. Canada AI Translation, by Type USD Million (2023-2028)
  • Table 135. Canada AI Translation, by Application USD Million (2023-2028)
  • Table 136. Mexico AI Translation, by Type USD Million (2023-2028)
  • Table 137. Mexico AI Translation, by Application USD Million (2023-2028)
  • Table 138. AI Translation: by Type(USD/Units)
  • Table 139. Research Programs/Design for This Report
  • Table 140. Key Data Information from Secondary Sources
  • Table 141. 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 AI Translation: by Type USD Million (2017-2022)
  • Figure 5. Global AI Translation: by Application USD Million (2017-2022)
  • Figure 6. South America AI Translation Share (%), by Country
  • Figure 7. Asia Pacific AI Translation Share (%), by Country
  • Figure 8. Europe AI Translation Share (%), by Country
  • Figure 9. MEA AI Translation Share (%), by Country
  • Figure 10. North America AI Translation Share (%), by Country
  • Figure 11. Global AI Translation: by Type USD/Units (2017-2022)
  • Figure 12. Global AI Translation share by Players 2022 (%)
  • Figure 13. Global AI Translation share by Players (Top 3) 2022(%)
  • Figure 14. Global AI Translation share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Google (United States) Revenue, Net Income and Gross profit
  • Figure 17. Google (United States) Revenue: by Geography 2022
  • Figure 18. Facebook (United States) Revenue, Net Income and Gross profit
  • Figure 19. Facebook (United States) Revenue: by Geography 2022
  • Figure 20. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 21. Microsoft (United States) Revenue: by Geography 2022
  • Figure 22. SoundAI (China) Revenue, Net Income and Gross profit
  • Figure 23. SoundAI (China) Revenue: by Geography 2022
  • Figure 24. MI (China) Revenue, Net Income and Gross profit
  • Figure 25. MI (China) Revenue: by Geography 2022
  • Figure 26. Rozetta (Australia) Revenue, Net Income and Gross profit
  • Figure 27. Rozetta (Australia) Revenue: by Geography 2022
  • Figure 28. Alibaba (China) Revenue, Net Income and Gross profit
  • Figure 29. Alibaba (China) Revenue: by Geography 2022
  • Figure 30. NetEase (China) Revenue, Net Income and Gross profit
  • Figure 31. NetEase (China) Revenue: by Geography 2022
  • Figure 32. Souhu (China) Revenue, Net Income and Gross profit
  • Figure 33. Souhu (China) Revenue: by Geography 2022
  • Figure 34. Tencent (China) Revenue, Net Income and Gross profit
  • Figure 35. Tencent (China) Revenue: by Geography 2022
  • Figure 36. Global AI Translation: by Type USD Million (2023-2028)
  • Figure 37. Global AI Translation: by Application USD Million (2023-2028)
  • Figure 38. South America AI Translation Share (%), by Country
  • Figure 39. Asia Pacific AI Translation Share (%), by Country
  • Figure 40. Europe AI Translation Share (%), by Country
  • Figure 41. MEA AI Translation Share (%), by Country
  • Figure 42. North America AI Translation Share (%), by Country
  • Figure 43. Global AI Translation: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Google (United States)
  • Facebook (United States)
  • Microsoft (United States)
  • SoundAI (China)
  • MI (China)
  • Rozetta (Australia)
  • Alibaba (China)
  • NetEase (China)
  • Souhu (China)
  • Tencent (China)
Additional players considered in the study are as follows:
ByteDance (China)
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Mar 2023 242 Pages 78 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

Top performing companies in the Global AI Translation market are Google (United States), Facebook (United States), Microsoft (United States), SoundAI (China), MI (China), Rozetta (Australia), Alibaba (China), NetEase (China), Souhu (China) and Tencent (China), to name a few.
"Penetration of Technological Giants, Such as Google, Baidu, Lionbridge, and Systran," is seen as one of major influencing trends for AI Translation Market during projected period 2022-2028.
Translation App segment in Global market to hold robust market share owing to "Increasing Need for Cost Efficiency and High-Speed Translation ".

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