Global AI for Speech Recognition

AI for Speech Recognition Comprehensive Study by Type (Software, Hardware), Application (Automotive, Marketing, Automotive, Healthcare), Devices (Smartphones, Tablets, PCs and laptops), Deployment (Cloud base, On premises) Players and Region - Global Market Outlook to 2028

AI for Speech Recognition Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
AI for Speech Recognition Market Scope
Speech recognition is a type of authentication technology that aids in receiving and comprehending human voice commands as well as carrying them out. This technique works by transforming commands into electronic signals, changing them into coding patterns, and transmitting them back to the device in digital format for final execution. Due to increases in processing capacity and improvements in internet connection, this technology has lately been adopted in mobile devices and other consumer goods, despite the fact that it was invented several decades ago. This tendency, combined with the growing popularity of artificial intelligence (AI) and virtual assistants like Apple Siri, Amazon Alexa, and Google Assistant, has fueled demand for this application in the electronics industry.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledNuance Communications (United States), Google LLC (United States), Amazon.com, Inc (United States), Apple, Inc. (United States), IBM Corporation (United States), Microsoft Corporation (United States), Baidu (China), iFLYTEK (China), Sensory, Inc. (United States) and LumenVox LLC (United States)
CAGR%


The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI for Speech Recognition market throughout the predicted period.

Nuance Communications (United States), Google LLC (United States), Amazon.com, Inc (United States), Apple, Inc. (United States), IBM Corporation (United States), Microsoft Corporation (United States), Baidu (China), iFLYTEK (China), Sensory, Inc. (United States) and LumenVox LLC (United States) are some of the key players that are part of study coverage.

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global AI for Speech Recognition market by Type , by Application (Automotive, Marketing, Automotive and Healthcare) and Region with country level break-up.

On the basis of geography, the market of AI for Speech Recognition 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). region held largest market share in the year 2022.




Influencing Trend:
Increasing Usage Of The AI-Based Voice Recognition Systems Develop Region

Market Growth Drivers:
Increasing Demand Of Smart Devices Among People

Challenges:
Growing The Concern Of Data Security And Privacy and High Cost Associated To Al For Speech Recognition

Restraints:
Technological Complexity Associated To Al For Speech Recognition

Opportunities:
Rising Adoption Of Speech Recognition In Various Sectors and Rising Digitization And Government Policies Favoring Incentives For Digitization

Key Target Audience
AI for Speech Recognition Provider, New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

Report Objectives / Segmentation Covered

By Type
  • Software
  • Hardware
By Application
  • Automotive
  • Marketing
  • Automotive
  • Healthcare
By Devices
  • Smartphones
  • Tablets
  • PCs and laptops

By Deployment
  • Cloud base
  • On premises

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 Demand Of Smart Devices Among People
    • 3.3. Market Challenges
      • 3.3.1. Growing The Concern Of Data Security And Privacy
      • 3.3.2. High Cost Associated To Al For Speech Recognition
    • 3.4. Market Trends
      • 3.4.1. Increasing Usage Of The AI-Based Voice Recognition Systems Develop Region
  • 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 for Speech Recognition, by Type, Application, Devices, Deployment and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI for Speech Recognition (Value)
      • 5.2.1. Global AI for Speech Recognition by: Type (Value)
        • 5.2.1.1. Software
        • 5.2.1.2. Hardware
      • 5.2.2. Global AI for Speech Recognition by: Application (Value)
        • 5.2.2.1. Automotive
        • 5.2.2.2. Marketing
        • 5.2.2.3. Automotive
        • 5.2.2.4. Healthcare
      • 5.2.3. Global AI for Speech Recognition by: Devices (Value)
        • 5.2.3.1. Smartphones
        • 5.2.3.2. Tablets
        • 5.2.3.3. PCs and laptops
      • 5.2.4. Global AI for Speech Recognition Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global AI for Speech Recognition (Price)
      • 5.3.1. Global AI for Speech Recognition by: Type (Price)
  • 6. AI for Speech Recognition: 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. Nuance Communications (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. Google LLC (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. Amazon.com, 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. Apple, Inc. (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. IBM Corporation (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. Microsoft Corporation (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. Baidu (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. IFLYTEK (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. Sensory, Inc. (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. LumenVox LLC (United States)
        • 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 for Speech Recognition Sale, by Type, Application, Devices, Deployment and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI for Speech Recognition (Value)
      • 7.2.1. Global AI for Speech Recognition by: Type (Value)
        • 7.2.1.1. Software
        • 7.2.1.2. Hardware
      • 7.2.2. Global AI for Speech Recognition by: Application (Value)
        • 7.2.2.1. Automotive
        • 7.2.2.2. Marketing
        • 7.2.2.3. Automotive
        • 7.2.2.4. Healthcare
      • 7.2.3. Global AI for Speech Recognition by: Devices (Value)
        • 7.2.3.1. Smartphones
        • 7.2.3.2. Tablets
        • 7.2.3.3. PCs and laptops
      • 7.2.4. Global AI for Speech Recognition Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global AI for Speech Recognition (Price)
      • 7.3.1. Global AI for Speech Recognition 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 for Speech Recognition: by Type(USD Million)
  • Table 2. AI for Speech Recognition Software , by Region USD Million (2017-2022)
  • Table 3. AI for Speech Recognition Hardware , by Region USD Million (2017-2022)
  • Table 4. AI for Speech Recognition: by Application(USD Million)
  • Table 5. AI for Speech Recognition Automotive , by Region USD Million (2017-2022)
  • Table 6. AI for Speech Recognition Marketing , by Region USD Million (2017-2022)
  • Table 7. AI for Speech Recognition Automotive , by Region USD Million (2017-2022)
  • Table 8. AI for Speech Recognition Healthcare , by Region USD Million (2017-2022)
  • Table 9. AI for Speech Recognition: by Devices(USD Million)
  • Table 10. AI for Speech Recognition Smartphones , by Region USD Million (2017-2022)
  • Table 11. AI for Speech Recognition Tablets , by Region USD Million (2017-2022)
  • Table 12. AI for Speech Recognition PCs and laptops , by Region USD Million (2017-2022)
  • Table 13. South America AI for Speech Recognition, by Country USD Million (2017-2022)
  • Table 14. South America AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 15. South America AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 16. South America AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 17. South America AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 18. Brazil AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 19. Brazil AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 20. Brazil AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 21. Brazil AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 22. Argentina AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 23. Argentina AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 24. Argentina AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 25. Argentina AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 26. Rest of South America AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 27. Rest of South America AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 28. Rest of South America AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 29. Rest of South America AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 30. Asia Pacific AI for Speech Recognition, by Country USD Million (2017-2022)
  • Table 31. Asia Pacific AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 32. Asia Pacific AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 33. Asia Pacific AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 34. Asia Pacific AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 35. China AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 36. China AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 37. China AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 38. China AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 39. Japan AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 40. Japan AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 41. Japan AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 42. Japan AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 43. India AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 44. India AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 45. India AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 46. India AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 47. South Korea AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 48. South Korea AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 49. South Korea AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 50. South Korea AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 51. Taiwan AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 52. Taiwan AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 53. Taiwan AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 54. Taiwan AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 55. Australia AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 56. Australia AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 57. Australia AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 58. Australia AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 59. Rest of Asia-Pacific AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 60. Rest of Asia-Pacific AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 61. Rest of Asia-Pacific AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 62. Rest of Asia-Pacific AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 63. Europe AI for Speech Recognition, by Country USD Million (2017-2022)
  • Table 64. Europe AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 65. Europe AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 66. Europe AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 67. Europe AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 68. Germany AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 69. Germany AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 70. Germany AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 71. Germany AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 72. France AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 73. France AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 74. France AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 75. France AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 76. Italy AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 77. Italy AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 78. Italy AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 79. Italy AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 80. United Kingdom AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 81. United Kingdom AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 82. United Kingdom AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 83. United Kingdom AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 84. Netherlands AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 85. Netherlands AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 86. Netherlands AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 87. Netherlands AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 88. Rest of Europe AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 89. Rest of Europe AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 90. Rest of Europe AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 91. Rest of Europe AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 92. MEA AI for Speech Recognition, by Country USD Million (2017-2022)
  • Table 93. MEA AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 94. MEA AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 95. MEA AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 96. MEA AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 97. Middle East AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 98. Middle East AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 99. Middle East AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 100. Middle East AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 101. Africa AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 102. Africa AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 103. Africa AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 104. Africa AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 105. North America AI for Speech Recognition, by Country USD Million (2017-2022)
  • Table 106. North America AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 107. North America AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 108. North America AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 109. North America AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 110. United States AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 111. United States AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 112. United States AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 113. United States AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 114. Canada AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 115. Canada AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 116. Canada AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 117. Canada AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 118. Mexico AI for Speech Recognition, by Type USD Million (2017-2022)
  • Table 119. Mexico AI for Speech Recognition, by Application USD Million (2017-2022)
  • Table 120. Mexico AI for Speech Recognition, by Devices USD Million (2017-2022)
  • Table 121. Mexico AI for Speech Recognition, by Deployment USD Million (2017-2022)
  • Table 122. AI for Speech Recognition: by Type(USD/Units)
  • Table 123. Company Basic Information, Sales Area and Its Competitors
  • Table 124. Company Basic Information, Sales Area and Its Competitors
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. AI for Speech Recognition: by Type(USD Million)
  • Table 134. AI for Speech Recognition Software , by Region USD Million (2023-2028)
  • Table 135. AI for Speech Recognition Hardware , by Region USD Million (2023-2028)
  • Table 136. AI for Speech Recognition: by Application(USD Million)
  • Table 137. AI for Speech Recognition Automotive , by Region USD Million (2023-2028)
  • Table 138. AI for Speech Recognition Marketing , by Region USD Million (2023-2028)
  • Table 139. AI for Speech Recognition Automotive , by Region USD Million (2023-2028)
  • Table 140. AI for Speech Recognition Healthcare , by Region USD Million (2023-2028)
  • Table 141. AI for Speech Recognition: by Devices(USD Million)
  • Table 142. AI for Speech Recognition Smartphones , by Region USD Million (2023-2028)
  • Table 143. AI for Speech Recognition Tablets , by Region USD Million (2023-2028)
  • Table 144. AI for Speech Recognition PCs and laptops , by Region USD Million (2023-2028)
  • Table 145. South America AI for Speech Recognition, by Country USD Million (2023-2028)
  • Table 146. South America AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 147. South America AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 148. South America AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 149. South America AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 150. Brazil AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 151. Brazil AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 152. Brazil AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 153. Brazil AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 154. Argentina AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 155. Argentina AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 156. Argentina AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 157. Argentina AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 158. Rest of South America AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 159. Rest of South America AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 160. Rest of South America AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 161. Rest of South America AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 162. Asia Pacific AI for Speech Recognition, by Country USD Million (2023-2028)
  • Table 163. Asia Pacific AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 164. Asia Pacific AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 165. Asia Pacific AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 166. Asia Pacific AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 167. China AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 168. China AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 169. China AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 170. China AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 171. Japan AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 172. Japan AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 173. Japan AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 174. Japan AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 175. India AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 176. India AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 177. India AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 178. India AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 179. South Korea AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 180. South Korea AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 181. South Korea AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 182. South Korea AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 183. Taiwan AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 184. Taiwan AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 185. Taiwan AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 186. Taiwan AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 187. Australia AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 188. Australia AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 189. Australia AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 190. Australia AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 191. Rest of Asia-Pacific AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 192. Rest of Asia-Pacific AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 193. Rest of Asia-Pacific AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 194. Rest of Asia-Pacific AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 195. Europe AI for Speech Recognition, by Country USD Million (2023-2028)
  • Table 196. Europe AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 197. Europe AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 198. Europe AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 199. Europe AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 200. Germany AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 201. Germany AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 202. Germany AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 203. Germany AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 204. France AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 205. France AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 206. France AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 207. France AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 208. Italy AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 209. Italy AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 210. Italy AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 211. Italy AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 212. United Kingdom AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 213. United Kingdom AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 214. United Kingdom AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 215. United Kingdom AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 216. Netherlands AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 217. Netherlands AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 218. Netherlands AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 219. Netherlands AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 220. Rest of Europe AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 221. Rest of Europe AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 222. Rest of Europe AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 223. Rest of Europe AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 224. MEA AI for Speech Recognition, by Country USD Million (2023-2028)
  • Table 225. MEA AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 226. MEA AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 227. MEA AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 228. MEA AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 229. Middle East AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 230. Middle East AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 231. Middle East AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 232. Middle East AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 233. Africa AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 234. Africa AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 235. Africa AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 236. Africa AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 237. North America AI for Speech Recognition, by Country USD Million (2023-2028)
  • Table 238. North America AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 239. North America AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 240. North America AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 241. North America AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 242. United States AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 243. United States AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 244. United States AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 245. United States AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 246. Canada AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 247. Canada AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 248. Canada AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 249. Canada AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 250. Mexico AI for Speech Recognition, by Type USD Million (2023-2028)
  • Table 251. Mexico AI for Speech Recognition, by Application USD Million (2023-2028)
  • Table 252. Mexico AI for Speech Recognition, by Devices USD Million (2023-2028)
  • Table 253. Mexico AI for Speech Recognition, by Deployment USD Million (2023-2028)
  • Table 254. AI for Speech Recognition: by Type(USD/Units)
  • Table 255. Research Programs/Design for This Report
  • Table 256. Key Data Information from Secondary Sources
  • Table 257. 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 for Speech Recognition: by Type USD Million (2017-2022)
  • Figure 5. Global AI for Speech Recognition: by Application USD Million (2017-2022)
  • Figure 6. Global AI for Speech Recognition: by Devices USD Million (2017-2022)
  • Figure 7. South America AI for Speech Recognition Share (%), by Country
  • Figure 8. Asia Pacific AI for Speech Recognition Share (%), by Country
  • Figure 9. Europe AI for Speech Recognition Share (%), by Country
  • Figure 10. MEA AI for Speech Recognition Share (%), by Country
  • Figure 11. North America AI for Speech Recognition Share (%), by Country
  • Figure 12. Global AI for Speech Recognition: by Type USD/Units (2017-2022)
  • Figure 13. Global AI for Speech Recognition share by Players 2022 (%)
  • Figure 14. Global AI for Speech Recognition share by Players (Top 3) 2022(%)
  • Figure 15. Global AI for Speech Recognition share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Nuance Communications (United States) Revenue, Net Income and Gross profit
  • Figure 18. Nuance Communications (United States) Revenue: by Geography 2022
  • Figure 19. Google LLC (United States) Revenue, Net Income and Gross profit
  • Figure 20. Google LLC (United States) Revenue: by Geography 2022
  • Figure 21. Amazon.com, Inc (United States) Revenue, Net Income and Gross profit
  • Figure 22. Amazon.com, Inc (United States) Revenue: by Geography 2022
  • Figure 23. Apple, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. Apple, Inc. (United States) Revenue: by Geography 2022
  • Figure 25. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 27. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 28. Microsoft Corporation (United States) Revenue: by Geography 2022
  • Figure 29. Baidu (China) Revenue, Net Income and Gross profit
  • Figure 30. Baidu (China) Revenue: by Geography 2022
  • Figure 31. IFLYTEK (China) Revenue, Net Income and Gross profit
  • Figure 32. IFLYTEK (China) Revenue: by Geography 2022
  • Figure 33. Sensory, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. Sensory, Inc. (United States) Revenue: by Geography 2022
  • Figure 35. LumenVox LLC (United States) Revenue, Net Income and Gross profit
  • Figure 36. LumenVox LLC (United States) Revenue: by Geography 2022
  • Figure 37. Global AI for Speech Recognition: by Type USD Million (2023-2028)
  • Figure 38. Global AI for Speech Recognition: by Application USD Million (2023-2028)
  • Figure 39. Global AI for Speech Recognition: by Devices USD Million (2023-2028)
  • Figure 40. South America AI for Speech Recognition Share (%), by Country
  • Figure 41. Asia Pacific AI for Speech Recognition Share (%), by Country
  • Figure 42. Europe AI for Speech Recognition Share (%), by Country
  • Figure 43. MEA AI for Speech Recognition Share (%), by Country
  • Figure 44. North America AI for Speech Recognition Share (%), by Country
  • Figure 45. Global AI for Speech Recognition: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Nuance Communications (United States)
  • Google LLC (United States)
  • Amazon.com, Inc (United States)
  • Apple, Inc. (United States)
  • IBM Corporation (United States)
  • Microsoft Corporation (United States)
  • Baidu (China)
  • iFLYTEK (China)
  • Sensory, Inc. (United States)
  • LumenVox LLC (United States)
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Mar 2023 218 Pages 91 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global AI for Speech Recognition Quantitative research analysis
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The key segments that are playing vital role in AI for Speech Recognition Market are by type [Software and Hardware], by end use application [Automotive, Marketing, Automotive and Healthcare].
The AI for Speech Recognition Market is gaining popularity and expected to see strong valuation by 2028.
  • Increasing Demand Of Smart Devices Among People

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