Chatbots in Healthcare Comprehensive Study by End-User (Healthcare Payers and Providers, Insurance Companies, Patients, Others), Component (Services, Solutions), Deployment (On-Premise, Cloud-Based), Application (Medical Assistance, Appointment Scheduling, Informational Support, Others) Players and Region - Global Market Outlook to 2027

Chatbots in Healthcare Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Chatbots in Healthcare
Chatbots in Healthcare are computer programs that simulate human conversation using machine learning. They are designed to interact and perform tasks such as providing solutions, assisting patients, medical advisory, and email, among others. They aid in minimizing complexity by automating repetitive lower-level tasks of healthcare personnel. Chatbots acquire and store patient data, assist in monitoring patients, and provide informational support to ensure instant medical help. It wins patient trust, increases patient engagement, handles queries, as well as provides updates. Immense advancement in AI technology in healthcare and high penetration of internet connectivity is propelling the growth of the global healthcare chatbots market.

AttributesDetails
Study Period2017-2027
Base Year2021
UnitValue (USD Million)


Key competitors in this market adopt various artificial intelligence technology to enhance their service capabilities and offerings. The company’s ability to rapidly develop and launch innovative products drives robust engagement through investments and helps in establishing strategic and profitable relationships with global brands. For instance, Woebot Health raised USD 90 million in Series B funding, thereby contributing to the company’s overall USD 114 million investment. Apart from this, profitable acquisitions and mergers as well as mutual partnerships helps firms maintain their competitive edge. Analyst at AMA Research estimates that European Players will contribute the maximum growth to Global Chatbots in Healthcare market throughout the forecasted period. 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.

Baidu, Inc. (China), Microsoft (United States), Sensely Inc. (United States), Woebot Labs, Inc. (United States), Your.MD Limited (United Kingdom), HealthTap, Inc. (United States), Babylon Health Services (United Kingdom), Buoy Health, Inc. (United States), Infermedica SP (Poland) and PACT Care BV (Netherlands) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are ADA Digital Health, Ltd. (Germany) and Relinns Technologies Pvt. Ltd. (India).

Segmentation Overview
AMA Research has segmented the market of Global Chatbots in Healthcare market by and Region.



On the basis of geography, the market of Chatbots in Healthcare 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). If we see Market by End-User , the sub-segment i.e. Healthcare Payers and Providers will boost the Chatbots in Healthcare market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component , the sub-segment i.e. Services will boost the Chatbots in Healthcare market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. On-Premise will boost the Chatbots in Healthcare market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Application, the sub-segment i.e. Medical Assistance will boost the Chatbots in Healthcare market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Surge in Internet Penetration across Healthcare Facilities and Emerging Use of Conversational AI-Powered Chatbot

Market Growth Drivers:
Rising Government Expenditure in Incorporating AI in Primary Healthcare Facilities and Rising Adoption of Smartphone Devices Coupled with Growing Internet Penetration

Challenges:
Low Technological Adoption and Awareness and Lack of Skilled Workforce

Restraints:
Increasing Concerns with Regards to Data Privacy and User Understanding and Challenges Associated with Data Integration and Usability

Opportunities:
Increasing Demand for Virtual Health Assistance

Market Leaders and their expansionary development strategies
In April 2021, Microsoft announced the acquisition of Nuance Communications, an AI and speech recognition software provider for USD 16 million. This acquisition will aid in the expansion of its healthcare technology services. Nuance Communications offers a wide array of speech and text data related to healthcare.
In March 2022, Woebot Health secured a USD 9.5 million investment from Leaps by Bayer. This investment adds to the existing USD 123 million company’s funding. This greatly accelerated the development of the start-up’s AO-powered chatbot for healthcare and other products.


Key Target Audience
Healthcare IT Solution Providers, Healthcare IT Vendors, Hospitals and Physician Offices, Diagnostic Laboratories, Government Institutes, Potential Venture Capitalists and Investors, Research and Development Institutes, Market Research & Consulting Firms, End Users 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 End-User
  • Healthcare Payers and Providers
  • Insurance Companies
  • Patients
  • Others

By Component
  • Services
  • Solutions

By Deployment
  • On-Premise
  • Cloud-Based

By Application
  • Medical Assistance
  • Appointment Scheduling
  • Informational Support
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising Government Expenditure in Incorporating AI in Primary Healthcare Facilities
      • 3.2.2. Rising Adoption of Smartphone Devices Coupled with Growing Internet Penetration
    • 3.3. Market Challenges
      • 3.3.1. Low Technological Adoption and Awareness
      • 3.3.2. Lack of Skilled Workforce
    • 3.4. Market Trends
      • 3.4.1. Surge in Internet Penetration across Healthcare Facilities
      • 3.4.2. Emerging Use of Conversational AI-Powered Chatbot
  • 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 Chatbots in Healthcare, by End-User , Component , Deployment, Application and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Chatbots in Healthcare (Value)
      • 5.2.1. Global Chatbots in Healthcare by: Application (Value)
        • 5.2.1.1. Medical Assistance
        • 5.2.1.2. Appointment Scheduling
        • 5.2.1.3. Informational Support
        • 5.2.1.4. Others
      • 5.2.2. Global Chatbots in Healthcare by: Deployment (Value)
        • 5.2.2.1. On-Premise
        • 5.2.2.2. Cloud-Based
      • 5.2.3. Global Chatbots in Healthcare by: Application (Value)
        • 5.2.3.1. Medical Assistance
        • 5.2.3.2. Appointment Scheduling
        • 5.2.3.3. Informational Support
        • 5.2.3.4. Others
      • 5.2.4. Global Chatbots in Healthcare 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 Chatbots in Healthcare (Price)
  • 6. Chatbots in Healthcare: 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Baidu, Inc. (China)
        • 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. Sensely 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. Woebot Labs, 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. Your.MD Limited (United Kingdom)
        • 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. HealthTap, Inc. (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. Babylon Health Services (United Kingdom)
        • 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. Buoy Health, 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. Infermedica SP (Poland)
        • 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. PACT Care BV (Netherlands)
        • 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 Chatbots in Healthcare Sale, by End-User , Component , Deployment, Application and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Chatbots in Healthcare (Value)
      • 7.2.1. Global Chatbots in Healthcare by: Application (Value)
        • 7.2.1.1. Medical Assistance
        • 7.2.1.2. Appointment Scheduling
        • 7.2.1.3. Informational Support
        • 7.2.1.4. Others
      • 7.2.2. Global Chatbots in Healthcare by: Deployment (Value)
        • 7.2.2.1. On-Premise
        • 7.2.2.2. Cloud-Based
      • 7.2.3. Global Chatbots in Healthcare by: Application (Value)
        • 7.2.3.1. Medical Assistance
        • 7.2.3.2. Appointment Scheduling
        • 7.2.3.3. Informational Support
        • 7.2.3.4. Others
      • 7.2.4. Global Chatbots in Healthcare 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 Chatbots in Healthcare (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. Chatbots in Healthcare: by Application(USD Million)
  • Table 2. Chatbots in Healthcare Medical Assistance , by Region USD Million (2016-2021)
  • Table 3. Chatbots in Healthcare Appointment Scheduling , by Region USD Million (2016-2021)
  • Table 4. Chatbots in Healthcare Informational Support , by Region USD Million (2016-2021)
  • Table 5. Chatbots in Healthcare Others , by Region USD Million (2016-2021)
  • Table 6. Chatbots in Healthcare: by Deployment(USD Million)
  • Table 7. Chatbots in Healthcare On-Premise , by Region USD Million (2016-2021)
  • Table 8. Chatbots in Healthcare Cloud-Based , by Region USD Million (2016-2021)
  • Table 9. Chatbots in Healthcare: by Application(USD Million)
  • Table 10. Chatbots in Healthcare Medical Assistance , by Region USD Million (2016-2021)
  • Table 11. Chatbots in Healthcare Appointment Scheduling , by Region USD Million (2016-2021)
  • Table 12. Chatbots in Healthcare Informational Support , by Region USD Million (2016-2021)
  • Table 13. Chatbots in Healthcare Others , by Region USD Million (2016-2021)
  • Table 14. South America Chatbots in Healthcare, by Country USD Million (2016-2021)
  • Table 15. South America Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 16. South America Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 17. South America Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 18. South America Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 19. Brazil Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 20. Brazil Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 21. Brazil Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 22. Brazil Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 23. Argentina Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 24. Argentina Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 25. Argentina Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 26. Argentina Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 27. Rest of South America Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 28. Rest of South America Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 29. Rest of South America Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 30. Rest of South America Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 31. Asia Pacific Chatbots in Healthcare, by Country USD Million (2016-2021)
  • Table 32. Asia Pacific Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 33. Asia Pacific Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 34. Asia Pacific Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 35. Asia Pacific Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 36. China Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 37. China Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 38. China Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 39. China Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 40. Japan Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 41. Japan Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 42. Japan Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 43. Japan Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 44. India Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 45. India Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 46. India Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 47. India Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 48. South Korea Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 49. South Korea Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 50. South Korea Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 51. South Korea Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 52. Taiwan Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 53. Taiwan Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 54. Taiwan Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 55. Taiwan Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 56. Australia Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 57. Australia Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 58. Australia Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 59. Australia Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 60. Rest of Asia-Pacific Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 61. Rest of Asia-Pacific Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 62. Rest of Asia-Pacific Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 63. Rest of Asia-Pacific Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 64. Europe Chatbots in Healthcare, by Country USD Million (2016-2021)
  • Table 65. Europe Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 66. Europe Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 67. Europe Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 68. Europe Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 69. Germany Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 70. Germany Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 71. Germany Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 72. Germany Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 73. France Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 74. France Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 75. France Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 76. France Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 77. Italy Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 78. Italy Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 79. Italy Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 80. Italy Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 81. United Kingdom Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 82. United Kingdom Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 83. United Kingdom Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 84. United Kingdom Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 85. Netherlands Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 86. Netherlands Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 87. Netherlands Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 88. Netherlands Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 89. Rest of Europe Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 90. Rest of Europe Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 91. Rest of Europe Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 92. Rest of Europe Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 93. MEA Chatbots in Healthcare, by Country USD Million (2016-2021)
  • Table 94. MEA Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 95. MEA Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 96. MEA Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 97. MEA Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 98. Middle East Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 99. Middle East Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 100. Middle East Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 101. Middle East Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 102. Africa Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 103. Africa Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 104. Africa Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 105. Africa Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 106. North America Chatbots in Healthcare, by Country USD Million (2016-2021)
  • Table 107. North America Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 108. North America Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 109. North America Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 110. North America Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 111. United States Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 112. United States Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 113. United States Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 114. United States Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 115. Canada Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 116. Canada Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 117. Canada Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 118. Canada Chatbots in Healthcare, by Application USD Million (2016-2021)
  • Table 119. Mexico Chatbots in Healthcare, by End-User USD Million (2016-2021)
  • Table 120. Mexico Chatbots in Healthcare, by Component USD Million (2016-2021)
  • Table 121. Mexico Chatbots in Healthcare, by Deployment USD Million (2016-2021)
  • Table 122. Mexico Chatbots in Healthcare, by Application USD Million (2016-2021)
  • 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. Chatbots in Healthcare: by Application(USD Million)
  • Table 134. Chatbots in Healthcare Medical Assistance , by Region USD Million (2022-2027)
  • Table 135. Chatbots in Healthcare Appointment Scheduling , by Region USD Million (2022-2027)
  • Table 136. Chatbots in Healthcare Informational Support , by Region USD Million (2022-2027)
  • Table 137. Chatbots in Healthcare Others , by Region USD Million (2022-2027)
  • Table 138. Chatbots in Healthcare: by Deployment(USD Million)
  • Table 139. Chatbots in Healthcare On-Premise , by Region USD Million (2022-2027)
  • Table 140. Chatbots in Healthcare Cloud-Based , by Region USD Million (2022-2027)
  • Table 141. Chatbots in Healthcare: by Application(USD Million)
  • Table 142. Chatbots in Healthcare Medical Assistance , by Region USD Million (2022-2027)
  • Table 143. Chatbots in Healthcare Appointment Scheduling , by Region USD Million (2022-2027)
  • Table 144. Chatbots in Healthcare Informational Support , by Region USD Million (2022-2027)
  • Table 145. Chatbots in Healthcare Others , by Region USD Million (2022-2027)
  • Table 146. South America Chatbots in Healthcare, by Country USD Million (2022-2027)
  • Table 147. South America Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 148. South America Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 149. South America Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 150. South America Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 151. Brazil Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 152. Brazil Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 153. Brazil Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 154. Brazil Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 155. Argentina Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 156. Argentina Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 157. Argentina Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 158. Argentina Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 159. Rest of South America Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 160. Rest of South America Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 161. Rest of South America Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 162. Rest of South America Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 163. Asia Pacific Chatbots in Healthcare, by Country USD Million (2022-2027)
  • Table 164. Asia Pacific Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 165. Asia Pacific Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 166. Asia Pacific Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 167. Asia Pacific Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 168. China Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 169. China Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 170. China Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 171. China Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 172. Japan Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 173. Japan Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 174. Japan Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 175. Japan Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 176. India Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 177. India Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 178. India Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 179. India Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 180. South Korea Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 181. South Korea Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 182. South Korea Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 183. South Korea Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 184. Taiwan Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 185. Taiwan Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 186. Taiwan Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 187. Taiwan Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 188. Australia Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 189. Australia Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 190. Australia Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 191. Australia Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 192. Rest of Asia-Pacific Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 193. Rest of Asia-Pacific Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 194. Rest of Asia-Pacific Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 195. Rest of Asia-Pacific Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 196. Europe Chatbots in Healthcare, by Country USD Million (2022-2027)
  • Table 197. Europe Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 198. Europe Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 199. Europe Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 200. Europe Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 201. Germany Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 202. Germany Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 203. Germany Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 204. Germany Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 205. France Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 206. France Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 207. France Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 208. France Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 209. Italy Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 210. Italy Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 211. Italy Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 212. Italy Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 213. United Kingdom Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 214. United Kingdom Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 215. United Kingdom Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 216. United Kingdom Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 217. Netherlands Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 218. Netherlands Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 219. Netherlands Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 220. Netherlands Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 221. Rest of Europe Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 222. Rest of Europe Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 223. Rest of Europe Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 224. Rest of Europe Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 225. MEA Chatbots in Healthcare, by Country USD Million (2022-2027)
  • Table 226. MEA Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 227. MEA Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 228. MEA Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 229. MEA Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 230. Middle East Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 231. Middle East Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 232. Middle East Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 233. Middle East Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 234. Africa Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 235. Africa Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 236. Africa Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 237. Africa Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 238. North America Chatbots in Healthcare, by Country USD Million (2022-2027)
  • Table 239. North America Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 240. North America Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 241. North America Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 242. North America Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 243. United States Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 244. United States Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 245. United States Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 246. United States Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 247. Canada Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 248. Canada Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 249. Canada Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 250. Canada Chatbots in Healthcare, by Application USD Million (2022-2027)
  • Table 251. Mexico Chatbots in Healthcare, by End-User USD Million (2022-2027)
  • Table 252. Mexico Chatbots in Healthcare, by Component USD Million (2022-2027)
  • Table 253. Mexico Chatbots in Healthcare, by Deployment USD Million (2022-2027)
  • Table 254. Mexico Chatbots in Healthcare, by Application USD Million (2022-2027)
  • 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 Chatbots in Healthcare: by Application USD Million (2016-2021)
  • Figure 5. Global Chatbots in Healthcare: by Deployment USD Million (2016-2021)
  • Figure 6. Global Chatbots in Healthcare: by Application USD Million (2016-2021)
  • Figure 7. South America Chatbots in Healthcare Share (%), by Country
  • Figure 8. Asia Pacific Chatbots in Healthcare Share (%), by Country
  • Figure 9. Europe Chatbots in Healthcare Share (%), by Country
  • Figure 10. MEA Chatbots in Healthcare Share (%), by Country
  • Figure 11. North America Chatbots in Healthcare Share (%), by Country
  • Figure 12. Global Chatbots in Healthcare share by Players 2021 (%)
  • Figure 13. Global Chatbots in Healthcare share by Players (Top 3) 2021(%)
  • Figure 14. Global Chatbots in Healthcare share by Players (Top 5) 2021(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Baidu, Inc. (China) Revenue, Net Income and Gross profit
  • Figure 17. Baidu, Inc. (China) Revenue: by Geography 2021
  • Figure 18. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 19. Microsoft (United States) Revenue: by Geography 2021
  • Figure 20. Sensely Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 21. Sensely Inc. (United States) Revenue: by Geography 2021
  • Figure 22. Woebot Labs, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. Woebot Labs, Inc. (United States) Revenue: by Geography 2021
  • Figure 24. Your.MD Limited (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 25. Your.MD Limited (United Kingdom) Revenue: by Geography 2021
  • Figure 26. HealthTap, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 27. HealthTap, Inc. (United States) Revenue: by Geography 2021
  • Figure 28. Babylon Health Services (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 29. Babylon Health Services (United Kingdom) Revenue: by Geography 2021
  • Figure 30. Buoy Health, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 31. Buoy Health, Inc. (United States) Revenue: by Geography 2021
  • Figure 32. Infermedica SP (Poland) Revenue, Net Income and Gross profit
  • Figure 33. Infermedica SP (Poland) Revenue: by Geography 2021
  • Figure 34. PACT Care BV (Netherlands) Revenue, Net Income and Gross profit
  • Figure 35. PACT Care BV (Netherlands) Revenue: by Geography 2021
  • Figure 36. Global Chatbots in Healthcare: by Application USD Million (2022-2027)
  • Figure 37. Global Chatbots in Healthcare: by Deployment USD Million (2022-2027)
  • Figure 38. Global Chatbots in Healthcare: by Application USD Million (2022-2027)
  • Figure 39. South America Chatbots in Healthcare Share (%), by Country
  • Figure 40. Asia Pacific Chatbots in Healthcare Share (%), by Country
  • Figure 41. Europe Chatbots in Healthcare Share (%), by Country
  • Figure 42. MEA Chatbots in Healthcare Share (%), by Country
  • Figure 43. North America Chatbots in Healthcare Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Baidu, Inc. (China)
  • Microsoft (United States)
  • Sensely Inc. (United States)
  • Woebot Labs, Inc. (United States)
  • Your.MD Limited (United Kingdom)
  • HealthTap, Inc. (United States)
  • Babylon Health Services (United Kingdom)
  • Buoy Health, Inc. (United States)
  • Infermedica SP (Poland)
  • PACT Care BV (Netherlands)
Additional players considered in the study are as follows:
ADA Digital Health, Ltd. (Germany) , Relinns Technologies Pvt. Ltd. (India)
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Jan 2023 223 Pages 50 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Baidu, Inc. (China), Microsoft (United States), Sensely Inc. (United States), Woebot Labs, Inc. (United States), Your.MD Limited (United Kingdom), HealthTap, Inc. (United States), Babylon Health Services (United Kingdom), Buoy Health, Inc. (United States), Infermedica SP (Poland) and PACT Care BV (Netherlands) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Surge in Internet Penetration across Healthcare Facilities " is seen as one of major influencing trends for Chatbots in Healthcare Market during projected period 2021-2027.
The Chatbots in Healthcare 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.

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