AI Chatbots Comprehensive Study by Type (Menu/Button- Based Chabot, Keyword Recognition-Based Chatbot, Machine Learning Chatbot, The Hybrid Model, Voice Bots, Others), Function (Voice Command, Text chat), End Users (Healthcare, Retail, Banking and Insurance, Travel & Tourism, E-commerce, Others), Enterprise (Small Enterprise, Medium Enterprise, Large Enterprise) Players and Region - Global Market Outlook to 2026

AI Chatbots Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
An AI chatbot is a piece of software that can mimic a user discussion in natural language via messaging apps. It improves customer response rates by making your website open 24 hours a day, seven days a week. AI Chatbot saves you time and money while also improving client satisfaction. Chatbots utilize machine learning and natural language processing (NLP) to provide a conversational experience that is nearly human-like. It provides communication between a human and a machine, which can take the form of messages or voice commands. A chatbot is designed to function without the assistance of a human operator. It can react to queries posed to it in normal language as if it were a real person.This growth is primarily driven by Growing Prevalence of Voice-Based Software and Increase Usage of Messaging Application Such as Facebook Messenger and WhatsApp.

Globally, a noticeable market trend is evident Rapid Development of Conversational AI Chatbots. Major Players, such as IBM Corporation (United States), Intercom (United States), Salesforce (United States), Acuvate (United Kingdom), LivePerson (United States), Imperson (United States), Aivo (Finland), Creative Virtual Ltd. (United Kingdom), Vergic (Sweden) and Amplify (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

In May 2021 LivePerson released a statement announcing the new 360° partnership with Infosys. Infosys is investing in and scaling a service practice to help LivePerson bring its Conversational Cloud to the market and sustain it, as well as aiding LivePerson in transforming its technical infrastructure on the public cloud to meet the growing demand for conversational experiences. By combining Infosys Cobalt, a platform and set of functions for advancing a company's journey into the cloud, with LivePerson's Conversational Cloud, a complete set of apps and APIs for creating and maintaining communicative experiences, the partnership will enable brands to unlock significant growth.

Market Drivers
  • Growing Prevalence of Voice-Based Software
  • Increase Usage of Messaging Application Such as Facebook Messenger and WhatsApp

Market Trend
  • Rapid Development of Conversational AI Chatbots

Restraints
  • Data Security Breaches are a Risk
  • AI Chatbot can Disrupt User Experience

Opportunities
AI Chatbots are Cost-Effective than Hiring an Employee and Rising Demand from E-Commerce, Banking and Retail Sector
Challenges
AI Chatbots are Unable to Recognise Accents or Cultural Dialects, Chatbots Frequently Fail to Execute Inaccurate Command and Customer Queries are Often Misinterpreted by AI Chatbots

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, AI Chatbots Study Sheds Light on
— The AI Chatbots Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the AI Chatbots industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where AI Chatbots industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Menu/Button- Based Chabot
  • Keyword Recognition-Based Chatbot
  • Machine Learning Chatbot
  • The Hybrid Model
  • Voice Bots
  • Others
By Function
  • Voice Command
  • Text chat

By End Users
  • Healthcare
  • Retail
  • Banking and Insurance
  • Travel & Tourism
  • E-commerce
  • Others

By Enterprise
  • Small Enterprise
  • Medium Enterprise
  • Large Enterprise

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. Growing Prevalence of Voice-Based Software
      • 3.2.2. Increase Usage of Messaging Application Such as Facebook Messenger and WhatsApp
    • 3.3. Market Challenges
      • 3.3.1. AI Chatbots are Unable to Recognise Accents or Cultural Dialects
      • 3.3.2. Chatbots Frequently Fail to Execute Inaccurate Command
      • 3.3.3. Customer Queries are Often Misinterpreted by AI Chatbots
    • 3.4. Market Trends
      • 3.4.1. Rapid Development of Conversational AI Chatbots
  • 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 Chatbots, by Type, Function, End Users, Enterprise and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global AI Chatbots (Value)
      • 5.2.1. Global AI Chatbots by: Type (Value)
        • 5.2.1.1. Menu/Button- Based Chabot
        • 5.2.1.2. Keyword Recognition-Based Chatbot
        • 5.2.1.3. Machine Learning Chatbot
        • 5.2.1.4. The Hybrid Model
        • 5.2.1.5. Voice Bots
        • 5.2.1.6. Others
      • 5.2.2. Global AI Chatbots by: Function (Value)
        • 5.2.2.1. Voice Command
        • 5.2.2.2. Text chat
      • 5.2.3. Global AI Chatbots by: End Users (Value)
        • 5.2.3.1. Healthcare
        • 5.2.3.2. Retail
        • 5.2.3.3. Banking and Insurance
        • 5.2.3.4. Travel & Tourism
        • 5.2.3.5. E-commerce
        • 5.2.3.6. Others
      • 5.2.4. Global AI Chatbots by: Enterprise (Value)
        • 5.2.4.1. Small Enterprise
        • 5.2.4.2. Medium Enterprise
        • 5.2.4.3. Large Enterprise
      • 5.2.5. Global AI Chatbots Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Australia
          • 5.2.5.2.6. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global AI Chatbots (Price)
      • 5.3.1. Global AI Chatbots by: Type (Price)
  • 6. AI Chatbots: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM Corporation (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. Intercom (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. Salesforce (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. Acuvate (United Kingdom)
        • 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. LivePerson (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. Imperson (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. Aivo (Finland)
        • 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. Creative Virtual Ltd. (United Kingdom)
        • 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. Vergic (Sweden)
        • 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. Amplify (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 Chatbots Sale, by Type, Function, End Users, Enterprise and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global AI Chatbots (Value)
      • 7.2.1. Global AI Chatbots by: Type (Value)
        • 7.2.1.1. Menu/Button- Based Chabot
        • 7.2.1.2. Keyword Recognition-Based Chatbot
        • 7.2.1.3. Machine Learning Chatbot
        • 7.2.1.4. The Hybrid Model
        • 7.2.1.5. Voice Bots
        • 7.2.1.6. Others
      • 7.2.2. Global AI Chatbots by: Function (Value)
        • 7.2.2.1. Voice Command
        • 7.2.2.2. Text chat
      • 7.2.3. Global AI Chatbots by: End Users (Value)
        • 7.2.3.1. Healthcare
        • 7.2.3.2. Retail
        • 7.2.3.3. Banking and Insurance
        • 7.2.3.4. Travel & Tourism
        • 7.2.3.5. E-commerce
        • 7.2.3.6. Others
      • 7.2.4. Global AI Chatbots by: Enterprise (Value)
        • 7.2.4.1. Small Enterprise
        • 7.2.4.2. Medium Enterprise
        • 7.2.4.3. Large Enterprise
      • 7.2.5. Global AI Chatbots Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Australia
          • 7.2.5.2.6. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global AI Chatbots (Price)
      • 7.3.1. Global AI Chatbots 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 Chatbots: by Type(USD Million)
  • Table 2. AI Chatbots Menu/Button- Based Chabot , by Region USD Million (2015-2020)
  • Table 3. AI Chatbots Keyword Recognition-Based Chatbot , by Region USD Million (2015-2020)
  • Table 4. AI Chatbots Machine Learning Chatbot , by Region USD Million (2015-2020)
  • Table 5. AI Chatbots The Hybrid Model , by Region USD Million (2015-2020)
  • Table 6. AI Chatbots Voice Bots , by Region USD Million (2015-2020)
  • Table 7. AI Chatbots Others , by Region USD Million (2015-2020)
  • Table 8. AI Chatbots: by Function(USD Million)
  • Table 9. AI Chatbots Voice Command , by Region USD Million (2015-2020)
  • Table 10. AI Chatbots Text chat , by Region USD Million (2015-2020)
  • Table 11. AI Chatbots: by End Users(USD Million)
  • Table 12. AI Chatbots Healthcare , by Region USD Million (2015-2020)
  • Table 13. AI Chatbots Retail , by Region USD Million (2015-2020)
  • Table 14. AI Chatbots Banking and Insurance , by Region USD Million (2015-2020)
  • Table 15. AI Chatbots Travel & Tourism , by Region USD Million (2015-2020)
  • Table 16. AI Chatbots E-commerce , by Region USD Million (2015-2020)
  • Table 17. AI Chatbots Others , by Region USD Million (2015-2020)
  • Table 18. AI Chatbots: by Enterprise(USD Million)
  • Table 19. AI Chatbots Small Enterprise , by Region USD Million (2015-2020)
  • Table 20. AI Chatbots Medium Enterprise , by Region USD Million (2015-2020)
  • Table 21. AI Chatbots Large Enterprise , by Region USD Million (2015-2020)
  • Table 22. South America AI Chatbots, by Country USD Million (2015-2020)
  • Table 23. South America AI Chatbots, by Type USD Million (2015-2020)
  • Table 24. South America AI Chatbots, by Function USD Million (2015-2020)
  • Table 25. South America AI Chatbots, by End Users USD Million (2015-2020)
  • Table 26. South America AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 27. Brazil AI Chatbots, by Type USD Million (2015-2020)
  • Table 28. Brazil AI Chatbots, by Function USD Million (2015-2020)
  • Table 29. Brazil AI Chatbots, by End Users USD Million (2015-2020)
  • Table 30. Brazil AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 31. Argentina AI Chatbots, by Type USD Million (2015-2020)
  • Table 32. Argentina AI Chatbots, by Function USD Million (2015-2020)
  • Table 33. Argentina AI Chatbots, by End Users USD Million (2015-2020)
  • Table 34. Argentina AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 35. Rest of South America AI Chatbots, by Type USD Million (2015-2020)
  • Table 36. Rest of South America AI Chatbots, by Function USD Million (2015-2020)
  • Table 37. Rest of South America AI Chatbots, by End Users USD Million (2015-2020)
  • Table 38. Rest of South America AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 39. Asia Pacific AI Chatbots, by Country USD Million (2015-2020)
  • Table 40. Asia Pacific AI Chatbots, by Type USD Million (2015-2020)
  • Table 41. Asia Pacific AI Chatbots, by Function USD Million (2015-2020)
  • Table 42. Asia Pacific AI Chatbots, by End Users USD Million (2015-2020)
  • Table 43. Asia Pacific AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 44. China AI Chatbots, by Type USD Million (2015-2020)
  • Table 45. China AI Chatbots, by Function USD Million (2015-2020)
  • Table 46. China AI Chatbots, by End Users USD Million (2015-2020)
  • Table 47. China AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 48. Japan AI Chatbots, by Type USD Million (2015-2020)
  • Table 49. Japan AI Chatbots, by Function USD Million (2015-2020)
  • Table 50. Japan AI Chatbots, by End Users USD Million (2015-2020)
  • Table 51. Japan AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 52. India AI Chatbots, by Type USD Million (2015-2020)
  • Table 53. India AI Chatbots, by Function USD Million (2015-2020)
  • Table 54. India AI Chatbots, by End Users USD Million (2015-2020)
  • Table 55. India AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 56. South Korea AI Chatbots, by Type USD Million (2015-2020)
  • Table 57. South Korea AI Chatbots, by Function USD Million (2015-2020)
  • Table 58. South Korea AI Chatbots, by End Users USD Million (2015-2020)
  • Table 59. South Korea AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 60. Australia AI Chatbots, by Type USD Million (2015-2020)
  • Table 61. Australia AI Chatbots, by Function USD Million (2015-2020)
  • Table 62. Australia AI Chatbots, by End Users USD Million (2015-2020)
  • Table 63. Australia AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 64. Rest of Asia-Pacific AI Chatbots, by Type USD Million (2015-2020)
  • Table 65. Rest of Asia-Pacific AI Chatbots, by Function USD Million (2015-2020)
  • Table 66. Rest of Asia-Pacific AI Chatbots, by End Users USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 68. Europe AI Chatbots, by Country USD Million (2015-2020)
  • Table 69. Europe AI Chatbots, by Type USD Million (2015-2020)
  • Table 70. Europe AI Chatbots, by Function USD Million (2015-2020)
  • Table 71. Europe AI Chatbots, by End Users USD Million (2015-2020)
  • Table 72. Europe AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 73. Germany AI Chatbots, by Type USD Million (2015-2020)
  • Table 74. Germany AI Chatbots, by Function USD Million (2015-2020)
  • Table 75. Germany AI Chatbots, by End Users USD Million (2015-2020)
  • Table 76. Germany AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 77. France AI Chatbots, by Type USD Million (2015-2020)
  • Table 78. France AI Chatbots, by Function USD Million (2015-2020)
  • Table 79. France AI Chatbots, by End Users USD Million (2015-2020)
  • Table 80. France AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 81. Italy AI Chatbots, by Type USD Million (2015-2020)
  • Table 82. Italy AI Chatbots, by Function USD Million (2015-2020)
  • Table 83. Italy AI Chatbots, by End Users USD Million (2015-2020)
  • Table 84. Italy AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 85. United Kingdom AI Chatbots, by Type USD Million (2015-2020)
  • Table 86. United Kingdom AI Chatbots, by Function USD Million (2015-2020)
  • Table 87. United Kingdom AI Chatbots, by End Users USD Million (2015-2020)
  • Table 88. United Kingdom AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 89. Netherlands AI Chatbots, by Type USD Million (2015-2020)
  • Table 90. Netherlands AI Chatbots, by Function USD Million (2015-2020)
  • Table 91. Netherlands AI Chatbots, by End Users USD Million (2015-2020)
  • Table 92. Netherlands AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 93. Rest of Europe AI Chatbots, by Type USD Million (2015-2020)
  • Table 94. Rest of Europe AI Chatbots, by Function USD Million (2015-2020)
  • Table 95. Rest of Europe AI Chatbots, by End Users USD Million (2015-2020)
  • Table 96. Rest of Europe AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 97. MEA AI Chatbots, by Country USD Million (2015-2020)
  • Table 98. MEA AI Chatbots, by Type USD Million (2015-2020)
  • Table 99. MEA AI Chatbots, by Function USD Million (2015-2020)
  • Table 100. MEA AI Chatbots, by End Users USD Million (2015-2020)
  • Table 101. MEA AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 102. Middle East AI Chatbots, by Type USD Million (2015-2020)
  • Table 103. Middle East AI Chatbots, by Function USD Million (2015-2020)
  • Table 104. Middle East AI Chatbots, by End Users USD Million (2015-2020)
  • Table 105. Middle East AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 106. Africa AI Chatbots, by Type USD Million (2015-2020)
  • Table 107. Africa AI Chatbots, by Function USD Million (2015-2020)
  • Table 108. Africa AI Chatbots, by End Users USD Million (2015-2020)
  • Table 109. Africa AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 110. North America AI Chatbots, by Country USD Million (2015-2020)
  • Table 111. North America AI Chatbots, by Type USD Million (2015-2020)
  • Table 112. North America AI Chatbots, by Function USD Million (2015-2020)
  • Table 113. North America AI Chatbots, by End Users USD Million (2015-2020)
  • Table 114. North America AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 115. United States AI Chatbots, by Type USD Million (2015-2020)
  • Table 116. United States AI Chatbots, by Function USD Million (2015-2020)
  • Table 117. United States AI Chatbots, by End Users USD Million (2015-2020)
  • Table 118. United States AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 119. Canada AI Chatbots, by Type USD Million (2015-2020)
  • Table 120. Canada AI Chatbots, by Function USD Million (2015-2020)
  • Table 121. Canada AI Chatbots, by End Users USD Million (2015-2020)
  • Table 122. Canada AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 123. Mexico AI Chatbots, by Type USD Million (2015-2020)
  • Table 124. Mexico AI Chatbots, by Function USD Million (2015-2020)
  • Table 125. Mexico AI Chatbots, by End Users USD Million (2015-2020)
  • Table 126. Mexico AI Chatbots, by Enterprise USD Million (2015-2020)
  • Table 127. AI Chatbots: by Type(USD/Units)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. AI Chatbots: by Type(USD Million)
  • Table 139. AI Chatbots Menu/Button- Based Chabot , by Region USD Million (2021-2026)
  • Table 140. AI Chatbots Keyword Recognition-Based Chatbot , by Region USD Million (2021-2026)
  • Table 141. AI Chatbots Machine Learning Chatbot , by Region USD Million (2021-2026)
  • Table 142. AI Chatbots The Hybrid Model , by Region USD Million (2021-2026)
  • Table 143. AI Chatbots Voice Bots , by Region USD Million (2021-2026)
  • Table 144. AI Chatbots Others , by Region USD Million (2021-2026)
  • Table 145. AI Chatbots: by Function(USD Million)
  • Table 146. AI Chatbots Voice Command , by Region USD Million (2021-2026)
  • Table 147. AI Chatbots Text chat , by Region USD Million (2021-2026)
  • Table 148. AI Chatbots: by End Users(USD Million)
  • Table 149. AI Chatbots Healthcare , by Region USD Million (2021-2026)
  • Table 150. AI Chatbots Retail , by Region USD Million (2021-2026)
  • Table 151. AI Chatbots Banking and Insurance , by Region USD Million (2021-2026)
  • Table 152. AI Chatbots Travel & Tourism , by Region USD Million (2021-2026)
  • Table 153. AI Chatbots E-commerce , by Region USD Million (2021-2026)
  • Table 154. AI Chatbots Others , by Region USD Million (2021-2026)
  • Table 155. AI Chatbots: by Enterprise(USD Million)
  • Table 156. AI Chatbots Small Enterprise , by Region USD Million (2021-2026)
  • Table 157. AI Chatbots Medium Enterprise , by Region USD Million (2021-2026)
  • Table 158. AI Chatbots Large Enterprise , by Region USD Million (2021-2026)
  • Table 159. South America AI Chatbots, by Country USD Million (2021-2026)
  • Table 160. South America AI Chatbots, by Type USD Million (2021-2026)
  • Table 161. South America AI Chatbots, by Function USD Million (2021-2026)
  • Table 162. South America AI Chatbots, by End Users USD Million (2021-2026)
  • Table 163. South America AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 164. Brazil AI Chatbots, by Type USD Million (2021-2026)
  • Table 165. Brazil AI Chatbots, by Function USD Million (2021-2026)
  • Table 166. Brazil AI Chatbots, by End Users USD Million (2021-2026)
  • Table 167. Brazil AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 168. Argentina AI Chatbots, by Type USD Million (2021-2026)
  • Table 169. Argentina AI Chatbots, by Function USD Million (2021-2026)
  • Table 170. Argentina AI Chatbots, by End Users USD Million (2021-2026)
  • Table 171. Argentina AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 172. Rest of South America AI Chatbots, by Type USD Million (2021-2026)
  • Table 173. Rest of South America AI Chatbots, by Function USD Million (2021-2026)
  • Table 174. Rest of South America AI Chatbots, by End Users USD Million (2021-2026)
  • Table 175. Rest of South America AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 176. Asia Pacific AI Chatbots, by Country USD Million (2021-2026)
  • Table 177. Asia Pacific AI Chatbots, by Type USD Million (2021-2026)
  • Table 178. Asia Pacific AI Chatbots, by Function USD Million (2021-2026)
  • Table 179. Asia Pacific AI Chatbots, by End Users USD Million (2021-2026)
  • Table 180. Asia Pacific AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 181. China AI Chatbots, by Type USD Million (2021-2026)
  • Table 182. China AI Chatbots, by Function USD Million (2021-2026)
  • Table 183. China AI Chatbots, by End Users USD Million (2021-2026)
  • Table 184. China AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 185. Japan AI Chatbots, by Type USD Million (2021-2026)
  • Table 186. Japan AI Chatbots, by Function USD Million (2021-2026)
  • Table 187. Japan AI Chatbots, by End Users USD Million (2021-2026)
  • Table 188. Japan AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 189. India AI Chatbots, by Type USD Million (2021-2026)
  • Table 190. India AI Chatbots, by Function USD Million (2021-2026)
  • Table 191. India AI Chatbots, by End Users USD Million (2021-2026)
  • Table 192. India AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 193. South Korea AI Chatbots, by Type USD Million (2021-2026)
  • Table 194. South Korea AI Chatbots, by Function USD Million (2021-2026)
  • Table 195. South Korea AI Chatbots, by End Users USD Million (2021-2026)
  • Table 196. South Korea AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 197. Australia AI Chatbots, by Type USD Million (2021-2026)
  • Table 198. Australia AI Chatbots, by Function USD Million (2021-2026)
  • Table 199. Australia AI Chatbots, by End Users USD Million (2021-2026)
  • Table 200. Australia AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 201. Rest of Asia-Pacific AI Chatbots, by Type USD Million (2021-2026)
  • Table 202. Rest of Asia-Pacific AI Chatbots, by Function USD Million (2021-2026)
  • Table 203. Rest of Asia-Pacific AI Chatbots, by End Users USD Million (2021-2026)
  • Table 204. Rest of Asia-Pacific AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 205. Europe AI Chatbots, by Country USD Million (2021-2026)
  • Table 206. Europe AI Chatbots, by Type USD Million (2021-2026)
  • Table 207. Europe AI Chatbots, by Function USD Million (2021-2026)
  • Table 208. Europe AI Chatbots, by End Users USD Million (2021-2026)
  • Table 209. Europe AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 210. Germany AI Chatbots, by Type USD Million (2021-2026)
  • Table 211. Germany AI Chatbots, by Function USD Million (2021-2026)
  • Table 212. Germany AI Chatbots, by End Users USD Million (2021-2026)
  • Table 213. Germany AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 214. France AI Chatbots, by Type USD Million (2021-2026)
  • Table 215. France AI Chatbots, by Function USD Million (2021-2026)
  • Table 216. France AI Chatbots, by End Users USD Million (2021-2026)
  • Table 217. France AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 218. Italy AI Chatbots, by Type USD Million (2021-2026)
  • Table 219. Italy AI Chatbots, by Function USD Million (2021-2026)
  • Table 220. Italy AI Chatbots, by End Users USD Million (2021-2026)
  • Table 221. Italy AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 222. United Kingdom AI Chatbots, by Type USD Million (2021-2026)
  • Table 223. United Kingdom AI Chatbots, by Function USD Million (2021-2026)
  • Table 224. United Kingdom AI Chatbots, by End Users USD Million (2021-2026)
  • Table 225. United Kingdom AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 226. Netherlands AI Chatbots, by Type USD Million (2021-2026)
  • Table 227. Netherlands AI Chatbots, by Function USD Million (2021-2026)
  • Table 228. Netherlands AI Chatbots, by End Users USD Million (2021-2026)
  • Table 229. Netherlands AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 230. Rest of Europe AI Chatbots, by Type USD Million (2021-2026)
  • Table 231. Rest of Europe AI Chatbots, by Function USD Million (2021-2026)
  • Table 232. Rest of Europe AI Chatbots, by End Users USD Million (2021-2026)
  • Table 233. Rest of Europe AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 234. MEA AI Chatbots, by Country USD Million (2021-2026)
  • Table 235. MEA AI Chatbots, by Type USD Million (2021-2026)
  • Table 236. MEA AI Chatbots, by Function USD Million (2021-2026)
  • Table 237. MEA AI Chatbots, by End Users USD Million (2021-2026)
  • Table 238. MEA AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 239. Middle East AI Chatbots, by Type USD Million (2021-2026)
  • Table 240. Middle East AI Chatbots, by Function USD Million (2021-2026)
  • Table 241. Middle East AI Chatbots, by End Users USD Million (2021-2026)
  • Table 242. Middle East AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 243. Africa AI Chatbots, by Type USD Million (2021-2026)
  • Table 244. Africa AI Chatbots, by Function USD Million (2021-2026)
  • Table 245. Africa AI Chatbots, by End Users USD Million (2021-2026)
  • Table 246. Africa AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 247. North America AI Chatbots, by Country USD Million (2021-2026)
  • Table 248. North America AI Chatbots, by Type USD Million (2021-2026)
  • Table 249. North America AI Chatbots, by Function USD Million (2021-2026)
  • Table 250. North America AI Chatbots, by End Users USD Million (2021-2026)
  • Table 251. North America AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 252. United States AI Chatbots, by Type USD Million (2021-2026)
  • Table 253. United States AI Chatbots, by Function USD Million (2021-2026)
  • Table 254. United States AI Chatbots, by End Users USD Million (2021-2026)
  • Table 255. United States AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 256. Canada AI Chatbots, by Type USD Million (2021-2026)
  • Table 257. Canada AI Chatbots, by Function USD Million (2021-2026)
  • Table 258. Canada AI Chatbots, by End Users USD Million (2021-2026)
  • Table 259. Canada AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 260. Mexico AI Chatbots, by Type USD Million (2021-2026)
  • Table 261. Mexico AI Chatbots, by Function USD Million (2021-2026)
  • Table 262. Mexico AI Chatbots, by End Users USD Million (2021-2026)
  • Table 263. Mexico AI Chatbots, by Enterprise USD Million (2021-2026)
  • Table 264. AI Chatbots: by Type(USD/Units)
  • Table 265. Research Programs/Design for This Report
  • Table 266. Key Data Information from Secondary Sources
  • Table 267. 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 Chatbots: by Type USD Million (2015-2020)
  • Figure 5. Global AI Chatbots: by Function USD Million (2015-2020)
  • Figure 6. Global AI Chatbots: by End Users USD Million (2015-2020)
  • Figure 7. Global AI Chatbots: by Enterprise USD Million (2015-2020)
  • Figure 8. South America AI Chatbots Share (%), by Country
  • Figure 9. Asia Pacific AI Chatbots Share (%), by Country
  • Figure 10. Europe AI Chatbots Share (%), by Country
  • Figure 11. MEA AI Chatbots Share (%), by Country
  • Figure 12. North America AI Chatbots Share (%), by Country
  • Figure 13. Global AI Chatbots: by Type USD/Units (2015-2020)
  • Figure 14. Global AI Chatbots share by Players 2020 (%)
  • Figure 15. Global AI Chatbots share by Players (Top 3) 2020(%)
  • Figure 16. Global AI Chatbots share by Players (Top 5) 2020(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 20. Intercom (United States) Revenue, Net Income and Gross profit
  • Figure 21. Intercom (United States) Revenue: by Geography 2020
  • Figure 22. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 23. Salesforce (United States) Revenue: by Geography 2020
  • Figure 24. Acuvate (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 25. Acuvate (United Kingdom) Revenue: by Geography 2020
  • Figure 26. LivePerson (United States) Revenue, Net Income and Gross profit
  • Figure 27. LivePerson (United States) Revenue: by Geography 2020
  • Figure 28. Imperson (United States) Revenue, Net Income and Gross profit
  • Figure 29. Imperson (United States) Revenue: by Geography 2020
  • Figure 30. Aivo (Finland) Revenue, Net Income and Gross profit
  • Figure 31. Aivo (Finland) Revenue: by Geography 2020
  • Figure 32. Creative Virtual Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 33. Creative Virtual Ltd. (United Kingdom) Revenue: by Geography 2020
  • Figure 34. Vergic (Sweden) Revenue, Net Income and Gross profit
  • Figure 35. Vergic (Sweden) Revenue: by Geography 2020
  • Figure 36. Amplify (United States) Revenue, Net Income and Gross profit
  • Figure 37. Amplify (United States) Revenue: by Geography 2020
  • Figure 38. Global AI Chatbots: by Type USD Million (2021-2026)
  • Figure 39. Global AI Chatbots: by Function USD Million (2021-2026)
  • Figure 40. Global AI Chatbots: by End Users USD Million (2021-2026)
  • Figure 41. Global AI Chatbots: by Enterprise USD Million (2021-2026)
  • Figure 42. South America AI Chatbots Share (%), by Country
  • Figure 43. Asia Pacific AI Chatbots Share (%), by Country
  • Figure 44. Europe AI Chatbots Share (%), by Country
  • Figure 45. MEA AI Chatbots Share (%), by Country
  • Figure 46. North America AI Chatbots Share (%), by Country
  • Figure 47. Global AI Chatbots: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • IBM Corporation (United States)
  • Intercom (United States)
  • Salesforce (United States)
  • Acuvate (United Kingdom)
  • LivePerson (United States)
  • Imperson (United States)
  • Aivo (Finland)
  • Creative Virtual Ltd. (United Kingdom)
  • Vergic (Sweden)
  • Amplify (United States)
Additional players considered in the study are as follows:
Drift (United States) , Zendesk (United States) , Pandorabots (United States)
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Key Highlights of Report


Oct 2021 200 Pages 76 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

Historical year: 2016-2020; Base year: 2020; Forecast period: 2021 to 2026
Companies that are profiled in Global AI Chatbots Market are IBM Corporation (United States), Intercom (United States), Salesforce (United States), Acuvate (United Kingdom), LivePerson (United States), Imperson (United States), Aivo (Finland), Creative Virtual Ltd. (United Kingdom), Vergic (Sweden) and Amplify (United States) etc.
An AI chatbot is a piece of software that can mimic a user discussion in natural language via messaging apps. It improves customer response rates by making your website open 24 hours a day, seven days a week. AI Chatbot saves you time and money while also improving client satisfaction. Chatbots utilize machine learning and natural language processing (NLP) to provide a conversational experience that is nearly human-like. It provides communication between a human and a machine, which can take the form of messages or voice commands. A chatbot is designed to function without the assistance of a human operator. It can react to queries posed to it in normal language as if it were a real person.

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