Medical Speech Recognition Comprehensive Study by Type (Front-end Medical Speech Recognition, Back-end Medical Speech Recognition), Application (Hospital, Clinic, Others) Players and Region - Global Market Outlook to 2028

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

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Medical Speech Recognition
Any technology that allows speaking what you wish to type is considered medical speech recognition. Directly on the screen is the spoken dictation. The use of this technology is helpful since it enables quicker data research, contributes to the improvement of daily operations, and encourages patients to adopt healthier practices. Clinicians may generate, document, amend, and sign electronic documents simultaneously, which decreases the number of clicks required to use an EHR, the frequency of errors, and the time spent dictating. Additionally, records no longer need to be rewritten or transcribed in order to be sent to another office. This is a crucial benefit if a patient needs to be transported.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)


The players are focusing on investing more in Launching New Technologies. These will enhance their market presence. The companies are also planning strategic activities like partnerships, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Nuance Communications Inc. (United States), Microsoft (United States), Amazon (United States), Infermedica (Poland), Sensly (United States), eGain Corporation (United States), Kognito Solutions LLC (United States), Verint Systems Inc. (United States), HealthTap Inc. (United States) and Babylon Healthcare Services Ltd (United Kingdom) are some of the key players that are part of study coverage.

Segmentation Overview
AMA Research has segmented the market of Global Medical Speech Recognition market by Type (Front-end Medical Speech Recognition and Back-end Medical Speech Recognition), Application (Hospital, Clinic and Others) and Region.



On the basis of geography, the market of Medical Speech Recognition has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, 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).

Influencing Trend:
Advancements in Technologies of the Healthcare Sector

Market Growth Drivers:
Increasing Application of the Medical Speech Recognition in the Health Industry and The Popularity of Machine Learning and Internet of Things

Challenges:
Lack of Awareness among New Technologies

Restraints:
Availability of the Alternative Solutions and High Cost Associated with the Medical Speech Recognition Devices

Opportunities:
Investment in Healthcare Sector can create Opportunities for the Market Growth

On 8th June 2021, Voiceitt launched State-of-the-Art Speech Recognition App. The Voiceitt app is available for free individual download as well as bulk download by institutions, nursing homes, and organizations. The assistive technology software enables people to navigate their environments and manage smart home devices using their own voice commands, and it will be made available for free at launch for a brief time.


Key Target Audience
Regulatory Bodies, Potential Investors, Research and Development Institutes and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Front-end Medical Speech Recognition
  • Back-end Medical Speech Recognition
By Application
  • Hospital
  • Clinic
  • Others
By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • 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 Application of the Medical Speech Recognition in the Health Industry
      • 3.2.2. The Popularity of Machine Learning and Internet of Things
    • 3.3. Market Challenges
      • 3.3.1. Lack of Awareness among New Technologies
    • 3.4. Market Trends
      • 3.4.1. Advancements in Technologies of the Healthcare Sector
  • 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 Medical Speech Recognition, by Type, Application and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Medical Speech Recognition (Value)
      • 5.2.1. Global Medical Speech Recognition by: Type (Value)
        • 5.2.1.1. Front-end Medical Speech Recognition
        • 5.2.1.2. Back-end Medical Speech Recognition
      • 5.2.2. Global Medical Speech Recognition by: Application (Value)
        • 5.2.2.1. Hospital
        • 5.2.2.2. Clinic
        • 5.2.2.3. Others
      • 5.2.3. Global Medical Speech Recognition 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. Australia
          • 5.2.3.2.6. 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 Medical Speech Recognition (Price)
      • 5.3.1. Global Medical Speech Recognition by: Type (Price)
  • 6. Medical 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 Inc. (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. Amazon (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. Infermedica (Poland)
        • 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. Sensly (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. EGain 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. Kognito Solutions LLC (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Verint Systems Inc. (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. HealthTap 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. Babylon Healthcare Services Ltd (United Kingdom)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Medical Speech Recognition Sale, by Type, Application and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Medical Speech Recognition (Value)
      • 7.2.1. Global Medical Speech Recognition by: Type (Value)
        • 7.2.1.1. Front-end Medical Speech Recognition
        • 7.2.1.2. Back-end Medical Speech Recognition
      • 7.2.2. Global Medical Speech Recognition by: Application (Value)
        • 7.2.2.1. Hospital
        • 7.2.2.2. Clinic
        • 7.2.2.3. Others
      • 7.2.3. Global Medical Speech Recognition 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. Australia
          • 7.2.3.2.6. 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 Medical Speech Recognition (Price)
      • 7.3.1. Global Medical 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. Medical Speech Recognition: by Type(USD Million)
  • Table 2. Medical Speech Recognition Front-end Medical Speech Recognition , by Region USD Million (2017-2022)
  • Table 3. Medical Speech Recognition Back-end Medical Speech Recognition , by Region USD Million (2017-2022)
  • Table 4. Medical Speech Recognition: by Application(USD Million)
  • Table 5. Medical Speech Recognition Hospital , by Region USD Million (2017-2022)
  • Table 6. Medical Speech Recognition Clinic , by Region USD Million (2017-2022)
  • Table 7. Medical Speech Recognition Others , by Region USD Million (2017-2022)
  • Table 8. South America Medical Speech Recognition, by Country USD Million (2017-2022)
  • Table 9. South America Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 10. South America Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 11. Brazil Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 12. Brazil Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 13. Argentina Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 14. Argentina Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 15. Rest of South America Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 16. Rest of South America Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 17. Asia Pacific Medical Speech Recognition, by Country USD Million (2017-2022)
  • Table 18. Asia Pacific Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 19. Asia Pacific Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 20. China Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 21. China Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 22. Japan Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 23. Japan Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 24. India Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 25. India Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 26. South Korea Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 27. South Korea Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 28. Australia Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 29. Australia Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 30. Rest of Asia-Pacific Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 31. Rest of Asia-Pacific Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 32. Europe Medical Speech Recognition, by Country USD Million (2017-2022)
  • Table 33. Europe Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 34. Europe Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 35. Germany Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 36. Germany Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 37. France Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 38. France Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 39. Italy Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 40. Italy Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 41. United Kingdom Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 42. United Kingdom Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 43. Netherlands Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 44. Netherlands Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 45. Rest of Europe Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 46. Rest of Europe Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 47. MEA Medical Speech Recognition, by Country USD Million (2017-2022)
  • Table 48. MEA Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 49. MEA Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 50. Middle East Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 51. Middle East Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 52. Africa Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 53. Africa Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 54. North America Medical Speech Recognition, by Country USD Million (2017-2022)
  • Table 55. North America Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 56. North America Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 57. United States Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 58. United States Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 59. Canada Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 60. Canada Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 61. Mexico Medical Speech Recognition, by Type USD Million (2017-2022)
  • Table 62. Mexico Medical Speech Recognition, by Application USD Million (2017-2022)
  • Table 63. Medical Speech Recognition: by Type(USD/Units)
  • Table 64. Company Basic Information, Sales Area and Its Competitors
  • 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. Medical Speech Recognition: by Type(USD Million)
  • Table 75. Medical Speech Recognition Front-end Medical Speech Recognition , by Region USD Million (2023-2028)
  • Table 76. Medical Speech Recognition Back-end Medical Speech Recognition , by Region USD Million (2023-2028)
  • Table 77. Medical Speech Recognition: by Application(USD Million)
  • Table 78. Medical Speech Recognition Hospital , by Region USD Million (2023-2028)
  • Table 79. Medical Speech Recognition Clinic , by Region USD Million (2023-2028)
  • Table 80. Medical Speech Recognition Others , by Region USD Million (2023-2028)
  • Table 81. South America Medical Speech Recognition, by Country USD Million (2023-2028)
  • Table 82. South America Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 83. South America Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 84. Brazil Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 85. Brazil Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 86. Argentina Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 87. Argentina Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 88. Rest of South America Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 89. Rest of South America Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 90. Asia Pacific Medical Speech Recognition, by Country USD Million (2023-2028)
  • Table 91. Asia Pacific Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 92. Asia Pacific Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 93. China Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 94. China Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 95. Japan Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 96. Japan Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 97. India Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 98. India Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 99. South Korea Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 100. South Korea Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 101. Australia Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 102. Australia Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 103. Rest of Asia-Pacific Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 104. Rest of Asia-Pacific Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 105. Europe Medical Speech Recognition, by Country USD Million (2023-2028)
  • Table 106. Europe Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 107. Europe Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 108. Germany Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 109. Germany Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 110. France Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 111. France Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 112. Italy Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 113. Italy Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 114. United Kingdom Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 115. United Kingdom Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 116. Netherlands Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 117. Netherlands Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 118. Rest of Europe Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 119. Rest of Europe Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 120. MEA Medical Speech Recognition, by Country USD Million (2023-2028)
  • Table 121. MEA Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 122. MEA Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 123. Middle East Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 124. Middle East Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 125. Africa Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 126. Africa Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 127. North America Medical Speech Recognition, by Country USD Million (2023-2028)
  • Table 128. North America Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 129. North America Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 130. United States Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 131. United States Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 132. Canada Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 133. Canada Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 134. Mexico Medical Speech Recognition, by Type USD Million (2023-2028)
  • Table 135. Mexico Medical Speech Recognition, by Application USD Million (2023-2028)
  • Table 136. Medical Speech Recognition: by Type(USD/Units)
  • Table 137. Research Programs/Design for This Report
  • Table 138. Key Data Information from Secondary Sources
  • Table 139. 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 Medical Speech Recognition: by Type USD Million (2017-2022)
  • Figure 5. Global Medical Speech Recognition: by Application USD Million (2017-2022)
  • Figure 6. South America Medical Speech Recognition Share (%), by Country
  • Figure 7. Asia Pacific Medical Speech Recognition Share (%), by Country
  • Figure 8. Europe Medical Speech Recognition Share (%), by Country
  • Figure 9. MEA Medical Speech Recognition Share (%), by Country
  • Figure 10. North America Medical Speech Recognition Share (%), by Country
  • Figure 11. Global Medical Speech Recognition: by Type USD/Units (2017-2022)
  • Figure 12. Global Medical Speech Recognition share by Players 2022 (%)
  • Figure 13. Global Medical Speech Recognition share by Players (Top 3) 2022(%)
  • Figure 14. Global Medical Speech Recognition share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Nuance Communications Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 17. Nuance Communications Inc. (United States) Revenue: by Geography 2022
  • Figure 18. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 19. Microsoft (United States) Revenue: by Geography 2022
  • Figure 20. Amazon (United States) Revenue, Net Income and Gross profit
  • Figure 21. Amazon (United States) Revenue: by Geography 2022
  • Figure 22. Infermedica (Poland) Revenue, Net Income and Gross profit
  • Figure 23. Infermedica (Poland) Revenue: by Geography 2022
  • Figure 24. Sensly (United States) Revenue, Net Income and Gross profit
  • Figure 25. Sensly (United States) Revenue: by Geography 2022
  • Figure 26. EGain Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. EGain Corporation (United States) Revenue: by Geography 2022
  • Figure 28. Kognito Solutions LLC (United States) Revenue, Net Income and Gross profit
  • Figure 29. Kognito Solutions LLC (United States) Revenue: by Geography 2022
  • Figure 30. Verint Systems Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 31. Verint Systems Inc. (United States) Revenue: by Geography 2022
  • Figure 32. HealthTap Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 33. HealthTap Inc. (United States) Revenue: by Geography 2022
  • Figure 34. Babylon Healthcare Services Ltd (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 35. Babylon Healthcare Services Ltd (United Kingdom) Revenue: by Geography 2022
  • Figure 36. Global Medical Speech Recognition: by Type USD Million (2023-2028)
  • Figure 37. Global Medical Speech Recognition: by Application USD Million (2023-2028)
  • Figure 38. South America Medical Speech Recognition Share (%), by Country
  • Figure 39. Asia Pacific Medical Speech Recognition Share (%), by Country
  • Figure 40. Europe Medical Speech Recognition Share (%), by Country
  • Figure 41. MEA Medical Speech Recognition Share (%), by Country
  • Figure 42. North America Medical Speech Recognition Share (%), by Country
  • Figure 43. Global Medical Speech Recognition: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Nuance Communications Inc. (United States)
  • Microsoft (United States)
  • Amazon (United States)
  • Infermedica (Poland)
  • Sensly (United States)
  • eGain Corporation (United States)
  • Kognito Solutions LLC (United States)
  • Verint Systems Inc. (United States)
  • HealthTap Inc. (United States)
  • Babylon Healthcare Services Ltd (United Kingdom)
Select User Access Type

Key Highlights of Report


Nov 2023 247 Pages 81 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

Request Sample Pages

Budget constraints? Get in touch with us for special pricing


Check Discount Now

Talk to Our Experts

Want to Customize Study?


"We employ Market statistics, Industry benchmarking, Patent analysis, and Technological Insights to derive requirements and provide customize scope of work."

Make an Enquiry Now

Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Nuance Communications Inc. (United States), Microsoft (United States), Amazon (United States), Infermedica (Poland), Sensly (United States), eGain Corporation (United States), Kognito Solutions LLC (United States), Verint Systems Inc. (United States), HealthTap Inc. (United States) and Babylon Healthcare Services Ltd (United Kingdom) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Advancements in Technologies of the Healthcare Sector" is seen as one of major influencing trends for Medical Speech Recognition Market during projected period 2022-2028.
The Medical Speech Recognition market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

Know More About Global Medical Speech Recognition Market Report?