Global Speech-to-text API Market
Global Speech-to-text API Market

Speech-to-text API Comprehensive Study by Application (Risk and Compliance Management, Fraud Detection and Prevention, Customer Management, Content Transcription), Organization Size (SMEs, Large enterprises), End Users (Travel and Hospitality, Telecommunications and IT, Retail and Ecommerce, Media and Entertainment, Manufacturing, Healthcare, Government and Defense, Banking, Financial Services, and Insurance, Other), Deployment (Cloud, On premises), Component (Software, Services) Players and Region - Global Market Outlook to 2024

Speech-to-text API Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024  

Dec 2019 Edition 200 Pages 211 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
AdvanceMarketAnalytics follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Key Players of Speech-to-text API Market Study:
Google (United States), Microsoft (United States), IBM (United States), AWS (United States), Nuance Communications (United States), Verint (United States), Speech matics (England), Vocapia Research (France), Twilio (United States) and Baidu (China)

In the last few years, Global market of Speech-to-text API developed rapidly. Major factors driving the market are Rising Adoption of Smart Speakers and Mobile Phones .

On the basis of applications, the Speech-to-text API market is segmented by Risk and Compliance Management, Fraud Detection and Prevention, Customer Management and Content Transcription.

Recent Industry Highlights:
In April 2018, Google has launched speech to text services for developers with improved voice recognition performance. It has promised to reduce 54 % of errors across Google’s tests..

Some of the other players that are also part of study are iFLYTEK (China), Govivace (United States), Deepgram (United States) and Nexmo (United States). The Global Speech-to-text API market is gaining huge competition due to involvement of United States companies that constantly invest in research & development to meet market expectation with new innovation.

Research Methodology:

The top-down and bottom-up approaches are used to estimate and validate the size of the Global Speech-to-text API 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 Speech-to-text API 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 Manufacturers, Distributors and Traders, Research Organisations, Government Agencies and Organisations.
This helps us to gather the data for the 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, Annual reports, press releases etc.
Report Objectives / Segmentation Covered
By Application
  • Risk and Compliance Management
  • Fraud Detection and Prevention
  • Customer Management
  • Content Transcription
By Organization Size
  • SMEs
  • Large enterprises

By End Users
  • Travel and Hospitality
  • Telecommunications and IT
  • Retail and Ecommerce
  • Media and Entertainment
  • Manufacturing
  • Healthcare
  • Government and Defense
  • Banking, Financial Services, and Insurance
  • Other

By Deployment
  • Cloud
  • On premises

By Component
  • Software
  • Services

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. Rising Adoption of Smart Speakers and Mobile Phones
      • 3.2.2. Growing Lifestyle of People in the Developing Economies
    • 3.3. Market Challenges
      • 3.3.1. Stiff Competition among the Major Players
    • 3.4. Market Trends
      • 3.4.1. Increasing Consumer Acceptance for Speech Recognition System
  • 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 Speech-to-text API, by Application, Organization Size, End Users, Deployment, Component and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Speech-to-text API (Value)
      • 5.2.1. Global Speech-to-text API by: Application (Value)
        • 5.2.1.1. Risk and Compliance Management
        • 5.2.1.2. Fraud Detection and Prevention
        • 5.2.1.3. Customer Management
        • 5.2.1.4. Content Transcription
      • 5.2.2. Global Speech-to-text API by: Organization Size (Value)
        • 5.2.2.1. SMEs
        • 5.2.2.2. Large enterprises
      • 5.2.3. Global Speech-to-text API by: End Users (Value)
        • 5.2.3.1. Travel and Hospitality
        • 5.2.3.2. Telecommunications and IT
        • 5.2.3.3. Retail and Ecommerce
        • 5.2.3.4. Media and Entertainment
        • 5.2.3.5. Manufacturing
        • 5.2.3.6. Healthcare
        • 5.2.3.7. Government and Defense
        • 5.2.3.8. Banking, Financial Services, and Insurance
        • 5.2.3.9. Other
      • 5.2.4. Global Speech-to-text API by: Deployment (Value)
        • 5.2.4.1. Cloud
        • 5.2.4.2. On premises
      • 5.2.5. Global Speech-to-text API by: Component (Value)
        • 5.2.5.1. Software
        • 5.2.5.2. Services
      • 5.2.6. Global Speech-to-text API Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
  • 6. Speech-to-text API: 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. 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. Microsoft (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. IBM (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. AWS (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. Nuance Communications (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. Verint (United States)
        • 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. Speech matics (England)
        • 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. Vocapia Research (France)
        • 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. Twilio (United States)
        • 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. Baidu (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 Speech-to-text API Sale, by Application, Organization Size, End Users, Deployment, Component and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Speech-to-text API (Value)
      • 7.2.1. Global Speech-to-text API by: Application (Value)
        • 7.2.1.1. Risk and Compliance Management
        • 7.2.1.2. Fraud Detection and Prevention
        • 7.2.1.3. Customer Management
        • 7.2.1.4. Content Transcription
      • 7.2.2. Global Speech-to-text API by: Organization Size (Value)
        • 7.2.2.1. SMEs
        • 7.2.2.2. Large enterprises
      • 7.2.3. Global Speech-to-text API by: End Users (Value)
        • 7.2.3.1. Travel and Hospitality
        • 7.2.3.2. Telecommunications and IT
        • 7.2.3.3. Retail and Ecommerce
        • 7.2.3.4. Media and Entertainment
        • 7.2.3.5. Manufacturing
        • 7.2.3.6. Healthcare
        • 7.2.3.7. Government and Defense
        • 7.2.3.8. Banking, Financial Services, and Insurance
        • 7.2.3.9. Other
      • 7.2.4. Global Speech-to-text API by: Deployment (Value)
        • 7.2.4.1. Cloud
        • 7.2.4.2. On premises
      • 7.2.5. Global Speech-to-text API by: Component (Value)
        • 7.2.5.1. Software
        • 7.2.5.2. Services
      • 7.2.6. Global Speech-to-text API Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
  • 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. Speech-to-text API: by Application(USD Million)
  • Table 2. Speech-to-text API Risk and Compliance Management , by Region USD Million (2013-2018)
  • Table 3. Speech-to-text API Fraud Detection and Prevention , by Region USD Million (2013-2018)
  • Table 4. Speech-to-text API Customer Management , by Region USD Million (2013-2018)
  • Table 5. Speech-to-text API Content Transcription , by Region USD Million (2013-2018)
  • Table 6. Speech-to-text API: by Organization Size(USD Million)
  • Table 7. Speech-to-text API SMEs , by Region USD Million (2013-2018)
  • Table 8. Speech-to-text API Large enterprises , by Region USD Million (2013-2018)
  • Table 9. Speech-to-text API: by End Users(USD Million)
  • Table 10. Speech-to-text API Travel and Hospitality , by Region USD Million (2013-2018)
  • Table 11. Speech-to-text API Telecommunications and IT , by Region USD Million (2013-2018)
  • Table 12. Speech-to-text API Retail and Ecommerce , by Region USD Million (2013-2018)
  • Table 13. Speech-to-text API Media and Entertainment , by Region USD Million (2013-2018)
  • Table 14. Speech-to-text API Manufacturing , by Region USD Million (2013-2018)
  • Table 15. Speech-to-text API Healthcare , by Region USD Million (2013-2018)
  • Table 16. Speech-to-text API Government and Defense , by Region USD Million (2013-2018)
  • Table 17. Speech-to-text API Banking, Financial Services, and Insurance , by Region USD Million (2013-2018)
  • Table 18. Speech-to-text API Other , by Region USD Million (2013-2018)
  • Table 19. Speech-to-text API: by Deployment(USD Million)
  • Table 20. Speech-to-text API Cloud , by Region USD Million (2013-2018)
  • Table 21. Speech-to-text API On premises , by Region USD Million (2013-2018)
  • Table 22. Speech-to-text API: by Component(USD Million)
  • Table 23. Speech-to-text API Software , by Region USD Million (2013-2018)
  • Table 24. Speech-to-text API Services , by Region USD Million (2013-2018)
  • Table 25. South America Speech-to-text API, by Country USD Million (2013-2018)
  • Table 26. South America Speech-to-text API, by Application USD Million (2013-2018)
  • Table 27. South America Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 28. South America Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 29. South America Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 30. South America Speech-to-text API, by Component USD Million (2013-2018)
  • Table 31. Brazil Speech-to-text API, by Application USD Million (2013-2018)
  • Table 32. Brazil Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 33. Brazil Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 34. Brazil Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 35. Brazil Speech-to-text API, by Component USD Million (2013-2018)
  • Table 36. Argentina Speech-to-text API, by Application USD Million (2013-2018)
  • Table 37. Argentina Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 38. Argentina Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 39. Argentina Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 40. Argentina Speech-to-text API, by Component USD Million (2013-2018)
  • Table 41. Rest of South America Speech-to-text API, by Application USD Million (2013-2018)
  • Table 42. Rest of South America Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 43. Rest of South America Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 44. Rest of South America Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 45. Rest of South America Speech-to-text API, by Component USD Million (2013-2018)
  • Table 46. Asia Pacific Speech-to-text API, by Country USD Million (2013-2018)
  • Table 47. Asia Pacific Speech-to-text API, by Application USD Million (2013-2018)
  • Table 48. Asia Pacific Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 49. Asia Pacific Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 50. Asia Pacific Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 51. Asia Pacific Speech-to-text API, by Component USD Million (2013-2018)
  • Table 52. China Speech-to-text API, by Application USD Million (2013-2018)
  • Table 53. China Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 54. China Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 55. China Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 56. China Speech-to-text API, by Component USD Million (2013-2018)
  • Table 57. Japan Speech-to-text API, by Application USD Million (2013-2018)
  • Table 58. Japan Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 59. Japan Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 60. Japan Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 61. Japan Speech-to-text API, by Component USD Million (2013-2018)
  • Table 62. India Speech-to-text API, by Application USD Million (2013-2018)
  • Table 63. India Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 64. India Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 65. India Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 66. India Speech-to-text API, by Component USD Million (2013-2018)
  • Table 67. South Korea Speech-to-text API, by Application USD Million (2013-2018)
  • Table 68. South Korea Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 69. South Korea Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 70. South Korea Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 71. South Korea Speech-to-text API, by Component USD Million (2013-2018)
  • Table 72. Taiwan Speech-to-text API, by Application USD Million (2013-2018)
  • Table 73. Taiwan Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 74. Taiwan Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 75. Taiwan Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 76. Taiwan Speech-to-text API, by Component USD Million (2013-2018)
  • Table 77. Australia Speech-to-text API, by Application USD Million (2013-2018)
  • Table 78. Australia Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 79. Australia Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 80. Australia Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 81. Australia Speech-to-text API, by Component USD Million (2013-2018)
  • Table 82. Rest of Asia-Pacific Speech-to-text API, by Application USD Million (2013-2018)
  • Table 83. Rest of Asia-Pacific Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 84. Rest of Asia-Pacific Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 85. Rest of Asia-Pacific Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 86. Rest of Asia-Pacific Speech-to-text API, by Component USD Million (2013-2018)
  • Table 87. Europe Speech-to-text API, by Country USD Million (2013-2018)
  • Table 88. Europe Speech-to-text API, by Application USD Million (2013-2018)
  • Table 89. Europe Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 90. Europe Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 91. Europe Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 92. Europe Speech-to-text API, by Component USD Million (2013-2018)
  • Table 93. Germany Speech-to-text API, by Application USD Million (2013-2018)
  • Table 94. Germany Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 95. Germany Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 96. Germany Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 97. Germany Speech-to-text API, by Component USD Million (2013-2018)
  • Table 98. France Speech-to-text API, by Application USD Million (2013-2018)
  • Table 99. France Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 100. France Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 101. France Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 102. France Speech-to-text API, by Component USD Million (2013-2018)
  • Table 103. Italy Speech-to-text API, by Application USD Million (2013-2018)
  • Table 104. Italy Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 105. Italy Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 106. Italy Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 107. Italy Speech-to-text API, by Component USD Million (2013-2018)
  • Table 108. United Kingdom Speech-to-text API, by Application USD Million (2013-2018)
  • Table 109. United Kingdom Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 110. United Kingdom Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 111. United Kingdom Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 112. United Kingdom Speech-to-text API, by Component USD Million (2013-2018)
  • Table 113. Netherlands Speech-to-text API, by Application USD Million (2013-2018)
  • Table 114. Netherlands Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 115. Netherlands Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 116. Netherlands Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 117. Netherlands Speech-to-text API, by Component USD Million (2013-2018)
  • Table 118. Rest of Europe Speech-to-text API, by Application USD Million (2013-2018)
  • Table 119. Rest of Europe Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 120. Rest of Europe Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 121. Rest of Europe Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 122. Rest of Europe Speech-to-text API, by Component USD Million (2013-2018)
  • Table 123. MEA Speech-to-text API, by Country USD Million (2013-2018)
  • Table 124. MEA Speech-to-text API, by Application USD Million (2013-2018)
  • Table 125. MEA Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 126. MEA Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 127. MEA Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 128. MEA Speech-to-text API, by Component USD Million (2013-2018)
  • Table 129. Middle East Speech-to-text API, by Application USD Million (2013-2018)
  • Table 130. Middle East Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 131. Middle East Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 132. Middle East Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 133. Middle East Speech-to-text API, by Component USD Million (2013-2018)
  • Table 134. Africa Speech-to-text API, by Application USD Million (2013-2018)
  • Table 135. Africa Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 136. Africa Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 137. Africa Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 138. Africa Speech-to-text API, by Component USD Million (2013-2018)
  • Table 139. North America Speech-to-text API, by Country USD Million (2013-2018)
  • Table 140. North America Speech-to-text API, by Application USD Million (2013-2018)
  • Table 141. North America Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 142. North America Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 143. North America Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 144. North America Speech-to-text API, by Component USD Million (2013-2018)
  • Table 145. United States Speech-to-text API, by Application USD Million (2013-2018)
  • Table 146. United States Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 147. United States Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 148. United States Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 149. United States Speech-to-text API, by Component USD Million (2013-2018)
  • Table 150. Canada Speech-to-text API, by Application USD Million (2013-2018)
  • Table 151. Canada Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 152. Canada Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 153. Canada Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 154. Canada Speech-to-text API, by Component USD Million (2013-2018)
  • Table 155. Mexico Speech-to-text API, by Application USD Million (2013-2018)
  • Table 156. Mexico Speech-to-text API, by Organization Size USD Million (2013-2018)
  • Table 157. Mexico Speech-to-text API, by End Users USD Million (2013-2018)
  • Table 158. Mexico Speech-to-text API, by Deployment USD Million (2013-2018)
  • Table 159. Mexico Speech-to-text API, by Component USD Million (2013-2018)
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Company Basic Information, Sales Area and Its Competitors
  • Table 170. Speech-to-text API: by Application(USD Million)
  • Table 171. Speech-to-text API Risk and Compliance Management , by Region USD Million (2019-2024)
  • Table 172. Speech-to-text API Fraud Detection and Prevention , by Region USD Million (2019-2024)
  • Table 173. Speech-to-text API Customer Management , by Region USD Million (2019-2024)
  • Table 174. Speech-to-text API Content Transcription , by Region USD Million (2019-2024)
  • Table 175. Speech-to-text API: by Organization Size(USD Million)
  • Table 176. Speech-to-text API SMEs , by Region USD Million (2019-2024)
  • Table 177. Speech-to-text API Large enterprises , by Region USD Million (2019-2024)
  • Table 178. Speech-to-text API: by End Users(USD Million)
  • Table 179. Speech-to-text API Travel and Hospitality , by Region USD Million (2019-2024)
  • Table 180. Speech-to-text API Telecommunications and IT , by Region USD Million (2019-2024)
  • Table 181. Speech-to-text API Retail and Ecommerce , by Region USD Million (2019-2024)
  • Table 182. Speech-to-text API Media and Entertainment , by Region USD Million (2019-2024)
  • Table 183. Speech-to-text API Manufacturing , by Region USD Million (2019-2024)
  • Table 184. Speech-to-text API Healthcare , by Region USD Million (2019-2024)
  • Table 185. Speech-to-text API Government and Defense , by Region USD Million (2019-2024)
  • Table 186. Speech-to-text API Banking, Financial Services, and Insurance , by Region USD Million (2019-2024)
  • Table 187. Speech-to-text API Other , by Region USD Million (2019-2024)
  • Table 188. Speech-to-text API: by Deployment(USD Million)
  • Table 189. Speech-to-text API Cloud , by Region USD Million (2019-2024)
  • Table 190. Speech-to-text API On premises , by Region USD Million (2019-2024)
  • Table 191. Speech-to-text API: by Component(USD Million)
  • Table 192. Speech-to-text API Software , by Region USD Million (2019-2024)
  • Table 193. Speech-to-text API Services , by Region USD Million (2019-2024)
  • Table 194. South America Speech-to-text API, by Country USD Million (2019-2024)
  • Table 195. South America Speech-to-text API, by Application USD Million (2019-2024)
  • Table 196. South America Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 197. South America Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 198. South America Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 199. South America Speech-to-text API, by Component USD Million (2019-2024)
  • Table 200. Brazil Speech-to-text API, by Application USD Million (2019-2024)
  • Table 201. Brazil Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 202. Brazil Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 203. Brazil Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 204. Brazil Speech-to-text API, by Component USD Million (2019-2024)
  • Table 205. Argentina Speech-to-text API, by Application USD Million (2019-2024)
  • Table 206. Argentina Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 207. Argentina Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 208. Argentina Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 209. Argentina Speech-to-text API, by Component USD Million (2019-2024)
  • Table 210. Rest of South America Speech-to-text API, by Application USD Million (2019-2024)
  • Table 211. Rest of South America Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 212. Rest of South America Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 213. Rest of South America Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 214. Rest of South America Speech-to-text API, by Component USD Million (2019-2024)
  • Table 215. Asia Pacific Speech-to-text API, by Country USD Million (2019-2024)
  • Table 216. Asia Pacific Speech-to-text API, by Application USD Million (2019-2024)
  • Table 217. Asia Pacific Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 218. Asia Pacific Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 219. Asia Pacific Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 220. Asia Pacific Speech-to-text API, by Component USD Million (2019-2024)
  • Table 221. China Speech-to-text API, by Application USD Million (2019-2024)
  • Table 222. China Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 223. China Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 224. China Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 225. China Speech-to-text API, by Component USD Million (2019-2024)
  • Table 226. Japan Speech-to-text API, by Application USD Million (2019-2024)
  • Table 227. Japan Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 228. Japan Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 229. Japan Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 230. Japan Speech-to-text API, by Component USD Million (2019-2024)
  • Table 231. India Speech-to-text API, by Application USD Million (2019-2024)
  • Table 232. India Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 233. India Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 234. India Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 235. India Speech-to-text API, by Component USD Million (2019-2024)
  • Table 236. South Korea Speech-to-text API, by Application USD Million (2019-2024)
  • Table 237. South Korea Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 238. South Korea Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 239. South Korea Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 240. South Korea Speech-to-text API, by Component USD Million (2019-2024)
  • Table 241. Taiwan Speech-to-text API, by Application USD Million (2019-2024)
  • Table 242. Taiwan Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 243. Taiwan Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 244. Taiwan Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 245. Taiwan Speech-to-text API, by Component USD Million (2019-2024)
  • Table 246. Australia Speech-to-text API, by Application USD Million (2019-2024)
  • Table 247. Australia Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 248. Australia Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 249. Australia Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 250. Australia Speech-to-text API, by Component USD Million (2019-2024)
  • Table 251. Rest of Asia-Pacific Speech-to-text API, by Application USD Million (2019-2024)
  • Table 252. Rest of Asia-Pacific Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 253. Rest of Asia-Pacific Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 254. Rest of Asia-Pacific Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 255. Rest of Asia-Pacific Speech-to-text API, by Component USD Million (2019-2024)
  • Table 256. Europe Speech-to-text API, by Country USD Million (2019-2024)
  • Table 257. Europe Speech-to-text API, by Application USD Million (2019-2024)
  • Table 258. Europe Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 259. Europe Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 260. Europe Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 261. Europe Speech-to-text API, by Component USD Million (2019-2024)
  • Table 262. Germany Speech-to-text API, by Application USD Million (2019-2024)
  • Table 263. Germany Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 264. Germany Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 265. Germany Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 266. Germany Speech-to-text API, by Component USD Million (2019-2024)
  • Table 267. France Speech-to-text API, by Application USD Million (2019-2024)
  • Table 268. France Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 269. France Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 270. France Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 271. France Speech-to-text API, by Component USD Million (2019-2024)
  • Table 272. Italy Speech-to-text API, by Application USD Million (2019-2024)
  • Table 273. Italy Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 274. Italy Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 275. Italy Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 276. Italy Speech-to-text API, by Component USD Million (2019-2024)
  • Table 277. United Kingdom Speech-to-text API, by Application USD Million (2019-2024)
  • Table 278. United Kingdom Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 279. United Kingdom Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 280. United Kingdom Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 281. United Kingdom Speech-to-text API, by Component USD Million (2019-2024)
  • Table 282. Netherlands Speech-to-text API, by Application USD Million (2019-2024)
  • Table 283. Netherlands Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 284. Netherlands Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 285. Netherlands Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 286. Netherlands Speech-to-text API, by Component USD Million (2019-2024)
  • Table 287. Rest of Europe Speech-to-text API, by Application USD Million (2019-2024)
  • Table 288. Rest of Europe Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 289. Rest of Europe Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 290. Rest of Europe Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 291. Rest of Europe Speech-to-text API, by Component USD Million (2019-2024)
  • Table 292. MEA Speech-to-text API, by Country USD Million (2019-2024)
  • Table 293. MEA Speech-to-text API, by Application USD Million (2019-2024)
  • Table 294. MEA Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 295. MEA Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 296. MEA Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 297. MEA Speech-to-text API, by Component USD Million (2019-2024)
  • Table 298. Middle East Speech-to-text API, by Application USD Million (2019-2024)
  • Table 299. Middle East Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 300. Middle East Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 301. Middle East Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 302. Middle East Speech-to-text API, by Component USD Million (2019-2024)
  • Table 303. Africa Speech-to-text API, by Application USD Million (2019-2024)
  • Table 304. Africa Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 305. Africa Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 306. Africa Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 307. Africa Speech-to-text API, by Component USD Million (2019-2024)
  • Table 308. North America Speech-to-text API, by Country USD Million (2019-2024)
  • Table 309. North America Speech-to-text API, by Application USD Million (2019-2024)
  • Table 310. North America Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 311. North America Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 312. North America Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 313. North America Speech-to-text API, by Component USD Million (2019-2024)
  • Table 314. United States Speech-to-text API, by Application USD Million (2019-2024)
  • Table 315. United States Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 316. United States Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 317. United States Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 318. United States Speech-to-text API, by Component USD Million (2019-2024)
  • Table 319. Canada Speech-to-text API, by Application USD Million (2019-2024)
  • Table 320. Canada Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 321. Canada Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 322. Canada Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 323. Canada Speech-to-text API, by Component USD Million (2019-2024)
  • Table 324. Mexico Speech-to-text API, by Application USD Million (2019-2024)
  • Table 325. Mexico Speech-to-text API, by Organization Size USD Million (2019-2024)
  • Table 326. Mexico Speech-to-text API, by End Users USD Million (2019-2024)
  • Table 327. Mexico Speech-to-text API, by Deployment USD Million (2019-2024)
  • Table 328. Mexico Speech-to-text API, by Component USD Million (2019-2024)
  • Table 329. Research Programs/Design for This Report
  • Table 330. Key Data Information from Secondary Sources
  • Table 331. 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 Speech-to-text API: by Application USD Million (2013-2018)
  • Figure 5. Global Speech-to-text API: by Organization Size USD Million (2013-2018)
  • Figure 6. Global Speech-to-text API: by End Users USD Million (2013-2018)
  • Figure 7. Global Speech-to-text API: by Deployment USD Million (2013-2018)
  • Figure 8. Global Speech-to-text API: by Component USD Million (2013-2018)
  • Figure 9. South America Speech-to-text API Share (%), by Country
  • Figure 10. Asia Pacific Speech-to-text API Share (%), by Country
  • Figure 11. Europe Speech-to-text API Share (%), by Country
  • Figure 12. MEA Speech-to-text API Share (%), by Country
  • Figure 13. North America Speech-to-text API Share (%), by Country
  • Figure 14. Global Speech-to-text API share by Players 2018 (%)
  • Figure 15. Global Speech-to-text API share by Players (Top 3) 2018(%)
  • Figure 16. Global Speech-to-text API share by Players (Top 5) 2018(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Google (United States) Revenue, Net Income and Gross profit
  • Figure 19. Google (United States) Revenue: by Geography 2018
  • Figure 20. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 21. Microsoft (United States) Revenue: by Geography 2018
  • Figure 22. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 23. IBM (United States) Revenue: by Geography 2018
  • Figure 24. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 25. AWS (United States) Revenue: by Geography 2018
  • Figure 26. Nuance Communications (United States) Revenue, Net Income and Gross profit
  • Figure 27. Nuance Communications (United States) Revenue: by Geography 2018
  • Figure 28. Verint (United States) Revenue, Net Income and Gross profit
  • Figure 29. Verint (United States) Revenue: by Geography 2018
  • Figure 30. Speech matics (England) Revenue, Net Income and Gross profit
  • Figure 31. Speech matics (England) Revenue: by Geography 2018
  • Figure 32. Vocapia Research (France) Revenue, Net Income and Gross profit
  • Figure 33. Vocapia Research (France) Revenue: by Geography 2018
  • Figure 34. Twilio (United States) Revenue, Net Income and Gross profit
  • Figure 35. Twilio (United States) Revenue: by Geography 2018
  • Figure 36. Baidu (China) Revenue, Net Income and Gross profit
  • Figure 37. Baidu (China) Revenue: by Geography 2018
  • Figure 38. Global Speech-to-text API: by Application USD Million (2019-2024)
  • Figure 39. Global Speech-to-text API: by Organization Size USD Million (2019-2024)
  • Figure 40. Global Speech-to-text API: by End Users USD Million (2019-2024)
  • Figure 41. Global Speech-to-text API: by Deployment USD Million (2019-2024)
  • Figure 42. Global Speech-to-text API: by Component USD Million (2019-2024)
  • Figure 43. South America Speech-to-text API Share (%), by Country
  • Figure 44. Asia Pacific Speech-to-text API Share (%), by Country
  • Figure 45. Europe Speech-to-text API Share (%), by Country
  • Figure 46. MEA Speech-to-text API Share (%), by Country
  • Figure 47. North America Speech-to-text API Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Google (United States)
  • Microsoft (United States)
  • IBM (United States)
  • AWS (United States)
  • Nuance Communications (United States)
  • Verint (United States)
  • Speech matics (England)
  • Vocapia Research (France)
  • Twilio (United States)
  • Baidu (China)
Additional players considered in the study are as follows:
iFLYTEK (China) , Govivace (United States) , Deepgram (United States) , Nexmo (United States)
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