Global AI for Customer Service Market

AI for Customer Service Comprehensive Study by Type (On-Premise, Cloud-Based), Application (Business to Business (B2B), Business to Customer (B2C), Others), Industry (IT & Telecom, Healthcare, BFSI, Retails, Automotive, Others), Technology (Machine Learning and Deep Learning, Natural Language Processing, Others), Enterprise (Small, Medium, Large), Component (Hardware, Software, Services, Others) Players and Region - Global Market Outlook to 2028

AI for Customer Service Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is AI for Customer Service Market?

AI for Customer Service can play a significant role in assisting customers in finding the right information more efficiently. Artificial intelligence assists in the analysis of customer data and key metrics, as well as the recommendation of products or services to customers based on their browsing or buying preferences. Chatbots are one of the most common applications of AI in customer service. Businesses are already using chatbots of varying complexity to handle routine questions like delivery dates, balances owed, order status, and anything else derived from internal systems.

Highlights from AI for Customer Service Market Study
AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledIBM (United States), Ant Group (China), Chatra (India), ClickDesk (India), Freshworks (United States), Huawei (China), Kayako (United Kingdom), LivePerson (United States), Olark (United States) and Provide Support (United States)


The global AI for Customer Service is Fragmented Due to Technology advancements in the IoT-connected devices. So the Players are Focusing on decentralized finance, and Customer services and investing more money in the new smart finance technology, such as artificial intelligence (AI), machine learning (ML), and mathematical expectation (ME). 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. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global AI for Customer Service market throughout the forecasted period.

IBM (United States), Ant Group (China), Chatra (India), ClickDesk (India), Freshworks (United States), Huawei (China), Kayako (United Kingdom), LivePerson (United States), Olark (United States) and Provide Support (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Salesforce Essentials (San Francisco), SnapEngage (United States), Tidio (United States) and Others.

AI for Customer Service Market Segmentation:
ScopeSub-Segments
Application / End UserBusiness to Business (B2B), Business to Customer (B2C) and Others
TypeOn-Premise and Cloud-Based
IndustryIT & Telecom,Healthcare,BFSI,Retails,Automotive,Others
TechnologyMachine Learning and Deep Learning,Natural Language Processing,Others
EnterpriseSmall,Medium,Large
ComponentHardware,Software,Services,Others


On the basis of geography, the market of AI for Customer Service 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). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Automation Is Becoming More Popular In Businesses and Increase in the Number of New Businesses

Market Growth Drivers:
Increasing demand for AI-powered customer support services, Increased Investment in the Development of Artificial Intelligence Technology by Key Players and Customer Engagement via Social Media Platforms Is On the Rise

Challenges:
Concerns about Data Privacy and Security during a Pandemic and Chatbots and Virtual Assistants Are Inaccurate

Restraints:
Lack Of Understanding About Conservational AI Solutions

Opportunities:
AI And Machine Learning-Based Technology Advancements for Real-Time Actionable Customer Insights and Integration of Advanced Artificial Intelligence Capabilities to Enhance Existing Conversational AI Offerings

Key Target Audience
New Entrants/Investors, Research Organizations and Universities, AI for Customer Service Distributor, Consulting Companies, Investors and Venture Capitalists, Government Bodies and End Users

Market Leaders & Development Strategies
On 10th January 2022, VENICE, Calif. and COPENHAGEN, Ted Mico, announced that the AI platform powering the customer service revolution has expanded into the European market by signing an exciting new partnership with Dixa, the Denmark-based customer service platform that anticipates customers' needs and empowers brands to meet them.
On 27th January 2022, Visionstate Corporation Visionstate or the Company is pleased to announce the soft launch of its new ViCCi 2.0 customer service kiosk, which is powered by cutting-edge conversational chatbot artificial intelligence (AI). The company plans to officially launch the new product in the spring of 2022 at a large Canadian shopping Centre.
New laws will soon shape how companies use artificial intelligence, according to regulators and lawmakers around the world AI. The five largest federal financial regulators in the United States issued a request for information on how banks use AI in late March, indicating that new guidance for the finance sector is on the way. Just a few weeks later, the United States Federal Trade Commission issued an unusually bold set of guidelines on truth, fairness, and equity in AI, broadly defining unfairness, and thus the illegal use of AI, as any act that causes more harm than good.

Report Objectives / Segmentation Covered

By Type
  • On-Premise
  • Cloud-Based
By Application
  • Business to Business (B2B)
  • Business to Customer (B2C)
  • Others
By Industry
  • IT & Telecom
  • Healthcare
  • BFSI
  • Retails
  • Automotive
  • Others

By Technology
  • Machine Learning and Deep Learning
  • Natural Language Processing
  • Others

By Enterprise
  • Small
  • Medium
  • Large

By Component
  • Hardware
  • Software
  • Services
  • 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 demand for AI-powered customer support services
      • 3.2.2. Increased Investment in the Development of Artificial Intelligence Technology by Key Players
      • 3.2.3. Customer Engagement via Social Media Platforms Is On the Rise
    • 3.3. Market Challenges
      • 3.3.1. Concerns about Data Privacy and Security during a Pandemic
      • 3.3.2. Chatbots and Virtual Assistants Are Inaccurate
    • 3.4. Market Trends
      • 3.4.1. Automation Is Becoming More Popular In Businesses
      • 3.4.2. Increase in the Number of New Businesses
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global AI for Customer Service, by Type, Application, Industry, Technology, Enterprise, Component and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI for Customer Service (Value)
      • 5.2.1. Global AI for Customer Service by: Type (Value)
        • 5.2.1.1. On-Premise
        • 5.2.1.2. Cloud-Based
      • 5.2.2. Global AI for Customer Service by: Application (Value)
        • 5.2.2.1. Business to Business (B2B)
        • 5.2.2.2. Business to Customer (B2C)
        • 5.2.2.3. Others
      • 5.2.3. Global AI for Customer Service by: Industry (Value)
        • 5.2.3.1. IT & Telecom
        • 5.2.3.2. Healthcare
        • 5.2.3.3. BFSI
        • 5.2.3.4. Retails
        • 5.2.3.5. Automotive
        • 5.2.3.6. Others
      • 5.2.4. Global AI for Customer Service by: Technology (Value)
        • 5.2.4.1. Machine Learning and Deep Learning
        • 5.2.4.2. Natural Language Processing
        • 5.2.4.3. Others
      • 5.2.5. Global AI for Customer Service by: Enterprise (Value)
        • 5.2.5.1. Small
        • 5.2.5.2. Medium
        • 5.2.5.3. Large
      • 5.2.6. Global AI for Customer Service by: Component (Value)
        • 5.2.6.1. Hardware
        • 5.2.6.2. Software
        • 5.2.6.3. Services
        • 5.2.6.4. Others
      • 5.2.7. Global AI for Customer Service Region
        • 5.2.7.1. South America
          • 5.2.7.1.1. Brazil
          • 5.2.7.1.2. Argentina
          • 5.2.7.1.3. Rest of South America
        • 5.2.7.2. Asia Pacific
          • 5.2.7.2.1. China
          • 5.2.7.2.2. Japan
          • 5.2.7.2.3. India
          • 5.2.7.2.4. South Korea
          • 5.2.7.2.5. Australia
          • 5.2.7.2.6. Rest of Asia-Pacific
        • 5.2.7.3. Europe
          • 5.2.7.3.1. Germany
          • 5.2.7.3.2. France
          • 5.2.7.3.3. Italy
          • 5.2.7.3.4. United Kingdom
          • 5.2.7.3.5. Netherlands
          • 5.2.7.3.6. Rest of Europe
        • 5.2.7.4. MEA
          • 5.2.7.4.1. Middle East
          • 5.2.7.4.2. Africa
        • 5.2.7.5. North America
          • 5.2.7.5.1. United States
          • 5.2.7.5.2. Canada
          • 5.2.7.5.3. Mexico
  • 6. AI for Customer Service: 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. IBM (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. Ant Group (China)
        • 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. Chatra (India)
        • 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. ClickDesk (India)
        • 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. Freshworks (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. Huawei (China)
        • 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. Kayako (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. LivePerson (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. Olark (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. Provide Support (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global AI for Customer Service Sale, by Type, Application, Industry, Technology, Enterprise, Component and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI for Customer Service (Value)
      • 7.2.1. Global AI for Customer Service by: Type (Value)
        • 7.2.1.1. On-Premise
        • 7.2.1.2. Cloud-Based
      • 7.2.2. Global AI for Customer Service by: Application (Value)
        • 7.2.2.1. Business to Business (B2B)
        • 7.2.2.2. Business to Customer (B2C)
        • 7.2.2.3. Others
      • 7.2.3. Global AI for Customer Service by: Industry (Value)
        • 7.2.3.1. IT & Telecom
        • 7.2.3.2. Healthcare
        • 7.2.3.3. BFSI
        • 7.2.3.4. Retails
        • 7.2.3.5. Automotive
        • 7.2.3.6. Others
      • 7.2.4. Global AI for Customer Service by: Technology (Value)
        • 7.2.4.1. Machine Learning and Deep Learning
        • 7.2.4.2. Natural Language Processing
        • 7.2.4.3. Others
      • 7.2.5. Global AI for Customer Service by: Enterprise (Value)
        • 7.2.5.1. Small
        • 7.2.5.2. Medium
        • 7.2.5.3. Large
      • 7.2.6. Global AI for Customer Service by: Component (Value)
        • 7.2.6.1. Hardware
        • 7.2.6.2. Software
        • 7.2.6.3. Services
        • 7.2.6.4. Others
      • 7.2.7. Global AI for Customer Service Region
        • 7.2.7.1. South America
          • 7.2.7.1.1. Brazil
          • 7.2.7.1.2. Argentina
          • 7.2.7.1.3. Rest of South America
        • 7.2.7.2. Asia Pacific
          • 7.2.7.2.1. China
          • 7.2.7.2.2. Japan
          • 7.2.7.2.3. India
          • 7.2.7.2.4. South Korea
          • 7.2.7.2.5. Australia
          • 7.2.7.2.6. Rest of Asia-Pacific
        • 7.2.7.3. Europe
          • 7.2.7.3.1. Germany
          • 7.2.7.3.2. France
          • 7.2.7.3.3. Italy
          • 7.2.7.3.4. United Kingdom
          • 7.2.7.3.5. Netherlands
          • 7.2.7.3.6. Rest of Europe
        • 7.2.7.4. MEA
          • 7.2.7.4.1. Middle East
          • 7.2.7.4.2. Africa
        • 7.2.7.5. North America
          • 7.2.7.5.1. United States
          • 7.2.7.5.2. Canada
          • 7.2.7.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI for Customer Service: by Type(USD Million)
  • Table 2. AI for Customer Service On-Premise , by Region USD Million (2017-2022)
  • Table 3. AI for Customer Service Cloud-Based , by Region USD Million (2017-2022)
  • Table 4. AI for Customer Service: by Application(USD Million)
  • Table 5. AI for Customer Service Business to Business (B2B) , by Region USD Million (2017-2022)
  • Table 6. AI for Customer Service Business to Customer (B2C) , by Region USD Million (2017-2022)
  • Table 7. AI for Customer Service Others , by Region USD Million (2017-2022)
  • Table 8. AI for Customer Service: by Industry(USD Million)
  • Table 9. AI for Customer Service IT & Telecom , by Region USD Million (2017-2022)
  • Table 10. AI for Customer Service Healthcare , by Region USD Million (2017-2022)
  • Table 11. AI for Customer Service BFSI , by Region USD Million (2017-2022)
  • Table 12. AI for Customer Service Retails , by Region USD Million (2017-2022)
  • Table 13. AI for Customer Service Automotive , by Region USD Million (2017-2022)
  • Table 14. AI for Customer Service Others , by Region USD Million (2017-2022)
  • Table 15. AI for Customer Service: by Technology(USD Million)
  • Table 16. AI for Customer Service Machine Learning and Deep Learning , by Region USD Million (2017-2022)
  • Table 17. AI for Customer Service Natural Language Processing , by Region USD Million (2017-2022)
  • Table 18. AI for Customer Service Others , by Region USD Million (2017-2022)
  • Table 19. AI for Customer Service: by Enterprise(USD Million)
  • Table 20. AI for Customer Service Small , by Region USD Million (2017-2022)
  • Table 21. AI for Customer Service Medium , by Region USD Million (2017-2022)
  • Table 22. AI for Customer Service Large , by Region USD Million (2017-2022)
  • Table 23. AI for Customer Service: by Component(USD Million)
  • Table 24. AI for Customer Service Hardware , by Region USD Million (2017-2022)
  • Table 25. AI for Customer Service Software , by Region USD Million (2017-2022)
  • Table 26. AI for Customer Service Services , by Region USD Million (2017-2022)
  • Table 27. AI for Customer Service Others , by Region USD Million (2017-2022)
  • Table 28. South America AI for Customer Service, by Country USD Million (2017-2022)
  • Table 29. South America AI for Customer Service, by Type USD Million (2017-2022)
  • Table 30. South America AI for Customer Service, by Application USD Million (2017-2022)
  • Table 31. South America AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 32. South America AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 33. South America AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 34. South America AI for Customer Service, by Component USD Million (2017-2022)
  • Table 35. Brazil AI for Customer Service, by Type USD Million (2017-2022)
  • Table 36. Brazil AI for Customer Service, by Application USD Million (2017-2022)
  • Table 37. Brazil AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 38. Brazil AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 39. Brazil AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 40. Brazil AI for Customer Service, by Component USD Million (2017-2022)
  • Table 41. Argentina AI for Customer Service, by Type USD Million (2017-2022)
  • Table 42. Argentina AI for Customer Service, by Application USD Million (2017-2022)
  • Table 43. Argentina AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 44. Argentina AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 45. Argentina AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 46. Argentina AI for Customer Service, by Component USD Million (2017-2022)
  • Table 47. Rest of South America AI for Customer Service, by Type USD Million (2017-2022)
  • Table 48. Rest of South America AI for Customer Service, by Application USD Million (2017-2022)
  • Table 49. Rest of South America AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 50. Rest of South America AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 51. Rest of South America AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 52. Rest of South America AI for Customer Service, by Component USD Million (2017-2022)
  • Table 53. Asia Pacific AI for Customer Service, by Country USD Million (2017-2022)
  • Table 54. Asia Pacific AI for Customer Service, by Type USD Million (2017-2022)
  • Table 55. Asia Pacific AI for Customer Service, by Application USD Million (2017-2022)
  • Table 56. Asia Pacific AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 57. Asia Pacific AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 58. Asia Pacific AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 59. Asia Pacific AI for Customer Service, by Component USD Million (2017-2022)
  • Table 60. China AI for Customer Service, by Type USD Million (2017-2022)
  • Table 61. China AI for Customer Service, by Application USD Million (2017-2022)
  • Table 62. China AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 63. China AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 64. China AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 65. China AI for Customer Service, by Component USD Million (2017-2022)
  • Table 66. Japan AI for Customer Service, by Type USD Million (2017-2022)
  • Table 67. Japan AI for Customer Service, by Application USD Million (2017-2022)
  • Table 68. Japan AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 69. Japan AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 70. Japan AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 71. Japan AI for Customer Service, by Component USD Million (2017-2022)
  • Table 72. India AI for Customer Service, by Type USD Million (2017-2022)
  • Table 73. India AI for Customer Service, by Application USD Million (2017-2022)
  • Table 74. India AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 75. India AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 76. India AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 77. India AI for Customer Service, by Component USD Million (2017-2022)
  • Table 78. South Korea AI for Customer Service, by Type USD Million (2017-2022)
  • Table 79. South Korea AI for Customer Service, by Application USD Million (2017-2022)
  • Table 80. South Korea AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 81. South Korea AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 82. South Korea AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 83. South Korea AI for Customer Service, by Component USD Million (2017-2022)
  • Table 84. Australia AI for Customer Service, by Type USD Million (2017-2022)
  • Table 85. Australia AI for Customer Service, by Application USD Million (2017-2022)
  • Table 86. Australia AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 87. Australia AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 88. Australia AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 89. Australia AI for Customer Service, by Component USD Million (2017-2022)
  • Table 90. Rest of Asia-Pacific AI for Customer Service, by Type USD Million (2017-2022)
  • Table 91. Rest of Asia-Pacific AI for Customer Service, by Application USD Million (2017-2022)
  • Table 92. Rest of Asia-Pacific AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 93. Rest of Asia-Pacific AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 94. Rest of Asia-Pacific AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 95. Rest of Asia-Pacific AI for Customer Service, by Component USD Million (2017-2022)
  • Table 96. Europe AI for Customer Service, by Country USD Million (2017-2022)
  • Table 97. Europe AI for Customer Service, by Type USD Million (2017-2022)
  • Table 98. Europe AI for Customer Service, by Application USD Million (2017-2022)
  • Table 99. Europe AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 100. Europe AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 101. Europe AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 102. Europe AI for Customer Service, by Component USD Million (2017-2022)
  • Table 103. Germany AI for Customer Service, by Type USD Million (2017-2022)
  • Table 104. Germany AI for Customer Service, by Application USD Million (2017-2022)
  • Table 105. Germany AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 106. Germany AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 107. Germany AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 108. Germany AI for Customer Service, by Component USD Million (2017-2022)
  • Table 109. France AI for Customer Service, by Type USD Million (2017-2022)
  • Table 110. France AI for Customer Service, by Application USD Million (2017-2022)
  • Table 111. France AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 112. France AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 113. France AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 114. France AI for Customer Service, by Component USD Million (2017-2022)
  • Table 115. Italy AI for Customer Service, by Type USD Million (2017-2022)
  • Table 116. Italy AI for Customer Service, by Application USD Million (2017-2022)
  • Table 117. Italy AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 118. Italy AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 119. Italy AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 120. Italy AI for Customer Service, by Component USD Million (2017-2022)
  • Table 121. United Kingdom AI for Customer Service, by Type USD Million (2017-2022)
  • Table 122. United Kingdom AI for Customer Service, by Application USD Million (2017-2022)
  • Table 123. United Kingdom AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 124. United Kingdom AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 125. United Kingdom AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 126. United Kingdom AI for Customer Service, by Component USD Million (2017-2022)
  • Table 127. Netherlands AI for Customer Service, by Type USD Million (2017-2022)
  • Table 128. Netherlands AI for Customer Service, by Application USD Million (2017-2022)
  • Table 129. Netherlands AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 130. Netherlands AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 131. Netherlands AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 132. Netherlands AI for Customer Service, by Component USD Million (2017-2022)
  • Table 133. Rest of Europe AI for Customer Service, by Type USD Million (2017-2022)
  • Table 134. Rest of Europe AI for Customer Service, by Application USD Million (2017-2022)
  • Table 135. Rest of Europe AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 136. Rest of Europe AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 137. Rest of Europe AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 138. Rest of Europe AI for Customer Service, by Component USD Million (2017-2022)
  • Table 139. MEA AI for Customer Service, by Country USD Million (2017-2022)
  • Table 140. MEA AI for Customer Service, by Type USD Million (2017-2022)
  • Table 141. MEA AI for Customer Service, by Application USD Million (2017-2022)
  • Table 142. MEA AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 143. MEA AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 144. MEA AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 145. MEA AI for Customer Service, by Component USD Million (2017-2022)
  • Table 146. Middle East AI for Customer Service, by Type USD Million (2017-2022)
  • Table 147. Middle East AI for Customer Service, by Application USD Million (2017-2022)
  • Table 148. Middle East AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 149. Middle East AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 150. Middle East AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 151. Middle East AI for Customer Service, by Component USD Million (2017-2022)
  • Table 152. Africa AI for Customer Service, by Type USD Million (2017-2022)
  • Table 153. Africa AI for Customer Service, by Application USD Million (2017-2022)
  • Table 154. Africa AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 155. Africa AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 156. Africa AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 157. Africa AI for Customer Service, by Component USD Million (2017-2022)
  • Table 158. North America AI for Customer Service, by Country USD Million (2017-2022)
  • Table 159. North America AI for Customer Service, by Type USD Million (2017-2022)
  • Table 160. North America AI for Customer Service, by Application USD Million (2017-2022)
  • Table 161. North America AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 162. North America AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 163. North America AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 164. North America AI for Customer Service, by Component USD Million (2017-2022)
  • Table 165. United States AI for Customer Service, by Type USD Million (2017-2022)
  • Table 166. United States AI for Customer Service, by Application USD Million (2017-2022)
  • Table 167. United States AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 168. United States AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 169. United States AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 170. United States AI for Customer Service, by Component USD Million (2017-2022)
  • Table 171. Canada AI for Customer Service, by Type USD Million (2017-2022)
  • Table 172. Canada AI for Customer Service, by Application USD Million (2017-2022)
  • Table 173. Canada AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 174. Canada AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 175. Canada AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 176. Canada AI for Customer Service, by Component USD Million (2017-2022)
  • Table 177. Mexico AI for Customer Service, by Type USD Million (2017-2022)
  • Table 178. Mexico AI for Customer Service, by Application USD Million (2017-2022)
  • Table 179. Mexico AI for Customer Service, by Industry USD Million (2017-2022)
  • Table 180. Mexico AI for Customer Service, by Technology USD Million (2017-2022)
  • Table 181. Mexico AI for Customer Service, by Enterprise USD Million (2017-2022)
  • Table 182. Mexico AI for Customer Service, by Component USD Million (2017-2022)
  • Table 183. Company Basic Information, Sales Area and Its Competitors
  • Table 184. Company Basic Information, Sales Area and Its Competitors
  • Table 185. Company Basic Information, Sales Area and Its Competitors
  • Table 186. Company Basic Information, Sales Area and Its Competitors
  • Table 187. Company Basic Information, Sales Area and Its Competitors
  • Table 188. Company Basic Information, Sales Area and Its Competitors
  • Table 189. Company Basic Information, Sales Area and Its Competitors
  • Table 190. Company Basic Information, Sales Area and Its Competitors
  • Table 191. Company Basic Information, Sales Area and Its Competitors
  • Table 192. Company Basic Information, Sales Area and Its Competitors
  • Table 193. AI for Customer Service: by Type(USD Million)
  • Table 194. AI for Customer Service On-Premise , by Region USD Million (2023-2028)
  • Table 195. AI for Customer Service Cloud-Based , by Region USD Million (2023-2028)
  • Table 196. AI for Customer Service: by Application(USD Million)
  • Table 197. AI for Customer Service Business to Business (B2B) , by Region USD Million (2023-2028)
  • Table 198. AI for Customer Service Business to Customer (B2C) , by Region USD Million (2023-2028)
  • Table 199. AI for Customer Service Others , by Region USD Million (2023-2028)
  • Table 200. AI for Customer Service: by Industry(USD Million)
  • Table 201. AI for Customer Service IT & Telecom , by Region USD Million (2023-2028)
  • Table 202. AI for Customer Service Healthcare , by Region USD Million (2023-2028)
  • Table 203. AI for Customer Service BFSI , by Region USD Million (2023-2028)
  • Table 204. AI for Customer Service Retails , by Region USD Million (2023-2028)
  • Table 205. AI for Customer Service Automotive , by Region USD Million (2023-2028)
  • Table 206. AI for Customer Service Others , by Region USD Million (2023-2028)
  • Table 207. AI for Customer Service: by Technology(USD Million)
  • Table 208. AI for Customer Service Machine Learning and Deep Learning , by Region USD Million (2023-2028)
  • Table 209. AI for Customer Service Natural Language Processing , by Region USD Million (2023-2028)
  • Table 210. AI for Customer Service Others , by Region USD Million (2023-2028)
  • Table 211. AI for Customer Service: by Enterprise(USD Million)
  • Table 212. AI for Customer Service Small , by Region USD Million (2023-2028)
  • Table 213. AI for Customer Service Medium , by Region USD Million (2023-2028)
  • Table 214. AI for Customer Service Large , by Region USD Million (2023-2028)
  • Table 215. AI for Customer Service: by Component(USD Million)
  • Table 216. AI for Customer Service Hardware , by Region USD Million (2023-2028)
  • Table 217. AI for Customer Service Software , by Region USD Million (2023-2028)
  • Table 218. AI for Customer Service Services , by Region USD Million (2023-2028)
  • Table 219. AI for Customer Service Others , by Region USD Million (2023-2028)
  • Table 220. South America AI for Customer Service, by Country USD Million (2023-2028)
  • Table 221. South America AI for Customer Service, by Type USD Million (2023-2028)
  • Table 222. South America AI for Customer Service, by Application USD Million (2023-2028)
  • Table 223. South America AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 224. South America AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 225. South America AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 226. South America AI for Customer Service, by Component USD Million (2023-2028)
  • Table 227. Brazil AI for Customer Service, by Type USD Million (2023-2028)
  • Table 228. Brazil AI for Customer Service, by Application USD Million (2023-2028)
  • Table 229. Brazil AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 230. Brazil AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 231. Brazil AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 232. Brazil AI for Customer Service, by Component USD Million (2023-2028)
  • Table 233. Argentina AI for Customer Service, by Type USD Million (2023-2028)
  • Table 234. Argentina AI for Customer Service, by Application USD Million (2023-2028)
  • Table 235. Argentina AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 236. Argentina AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 237. Argentina AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 238. Argentina AI for Customer Service, by Component USD Million (2023-2028)
  • Table 239. Rest of South America AI for Customer Service, by Type USD Million (2023-2028)
  • Table 240. Rest of South America AI for Customer Service, by Application USD Million (2023-2028)
  • Table 241. Rest of South America AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 242. Rest of South America AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 243. Rest of South America AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 244. Rest of South America AI for Customer Service, by Component USD Million (2023-2028)
  • Table 245. Asia Pacific AI for Customer Service, by Country USD Million (2023-2028)
  • Table 246. Asia Pacific AI for Customer Service, by Type USD Million (2023-2028)
  • Table 247. Asia Pacific AI for Customer Service, by Application USD Million (2023-2028)
  • Table 248. Asia Pacific AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 249. Asia Pacific AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 250. Asia Pacific AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 251. Asia Pacific AI for Customer Service, by Component USD Million (2023-2028)
  • Table 252. China AI for Customer Service, by Type USD Million (2023-2028)
  • Table 253. China AI for Customer Service, by Application USD Million (2023-2028)
  • Table 254. China AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 255. China AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 256. China AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 257. China AI for Customer Service, by Component USD Million (2023-2028)
  • Table 258. Japan AI for Customer Service, by Type USD Million (2023-2028)
  • Table 259. Japan AI for Customer Service, by Application USD Million (2023-2028)
  • Table 260. Japan AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 261. Japan AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 262. Japan AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 263. Japan AI for Customer Service, by Component USD Million (2023-2028)
  • Table 264. India AI for Customer Service, by Type USD Million (2023-2028)
  • Table 265. India AI for Customer Service, by Application USD Million (2023-2028)
  • Table 266. India AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 267. India AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 268. India AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 269. India AI for Customer Service, by Component USD Million (2023-2028)
  • Table 270. South Korea AI for Customer Service, by Type USD Million (2023-2028)
  • Table 271. South Korea AI for Customer Service, by Application USD Million (2023-2028)
  • Table 272. South Korea AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 273. South Korea AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 274. South Korea AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 275. South Korea AI for Customer Service, by Component USD Million (2023-2028)
  • Table 276. Australia AI for Customer Service, by Type USD Million (2023-2028)
  • Table 277. Australia AI for Customer Service, by Application USD Million (2023-2028)
  • Table 278. Australia AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 279. Australia AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 280. Australia AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 281. Australia AI for Customer Service, by Component USD Million (2023-2028)
  • Table 282. Rest of Asia-Pacific AI for Customer Service, by Type USD Million (2023-2028)
  • Table 283. Rest of Asia-Pacific AI for Customer Service, by Application USD Million (2023-2028)
  • Table 284. Rest of Asia-Pacific AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 285. Rest of Asia-Pacific AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 286. Rest of Asia-Pacific AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 287. Rest of Asia-Pacific AI for Customer Service, by Component USD Million (2023-2028)
  • Table 288. Europe AI for Customer Service, by Country USD Million (2023-2028)
  • Table 289. Europe AI for Customer Service, by Type USD Million (2023-2028)
  • Table 290. Europe AI for Customer Service, by Application USD Million (2023-2028)
  • Table 291. Europe AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 292. Europe AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 293. Europe AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 294. Europe AI for Customer Service, by Component USD Million (2023-2028)
  • Table 295. Germany AI for Customer Service, by Type USD Million (2023-2028)
  • Table 296. Germany AI for Customer Service, by Application USD Million (2023-2028)
  • Table 297. Germany AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 298. Germany AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 299. Germany AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 300. Germany AI for Customer Service, by Component USD Million (2023-2028)
  • Table 301. France AI for Customer Service, by Type USD Million (2023-2028)
  • Table 302. France AI for Customer Service, by Application USD Million (2023-2028)
  • Table 303. France AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 304. France AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 305. France AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 306. France AI for Customer Service, by Component USD Million (2023-2028)
  • Table 307. Italy AI for Customer Service, by Type USD Million (2023-2028)
  • Table 308. Italy AI for Customer Service, by Application USD Million (2023-2028)
  • Table 309. Italy AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 310. Italy AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 311. Italy AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 312. Italy AI for Customer Service, by Component USD Million (2023-2028)
  • Table 313. United Kingdom AI for Customer Service, by Type USD Million (2023-2028)
  • Table 314. United Kingdom AI for Customer Service, by Application USD Million (2023-2028)
  • Table 315. United Kingdom AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 316. United Kingdom AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 317. United Kingdom AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 318. United Kingdom AI for Customer Service, by Component USD Million (2023-2028)
  • Table 319. Netherlands AI for Customer Service, by Type USD Million (2023-2028)
  • Table 320. Netherlands AI for Customer Service, by Application USD Million (2023-2028)
  • Table 321. Netherlands AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 322. Netherlands AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 323. Netherlands AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 324. Netherlands AI for Customer Service, by Component USD Million (2023-2028)
  • Table 325. Rest of Europe AI for Customer Service, by Type USD Million (2023-2028)
  • Table 326. Rest of Europe AI for Customer Service, by Application USD Million (2023-2028)
  • Table 327. Rest of Europe AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 328. Rest of Europe AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 329. Rest of Europe AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 330. Rest of Europe AI for Customer Service, by Component USD Million (2023-2028)
  • Table 331. MEA AI for Customer Service, by Country USD Million (2023-2028)
  • Table 332. MEA AI for Customer Service, by Type USD Million (2023-2028)
  • Table 333. MEA AI for Customer Service, by Application USD Million (2023-2028)
  • Table 334. MEA AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 335. MEA AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 336. MEA AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 337. MEA AI for Customer Service, by Component USD Million (2023-2028)
  • Table 338. Middle East AI for Customer Service, by Type USD Million (2023-2028)
  • Table 339. Middle East AI for Customer Service, by Application USD Million (2023-2028)
  • Table 340. Middle East AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 341. Middle East AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 342. Middle East AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 343. Middle East AI for Customer Service, by Component USD Million (2023-2028)
  • Table 344. Africa AI for Customer Service, by Type USD Million (2023-2028)
  • Table 345. Africa AI for Customer Service, by Application USD Million (2023-2028)
  • Table 346. Africa AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 347. Africa AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 348. Africa AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 349. Africa AI for Customer Service, by Component USD Million (2023-2028)
  • Table 350. North America AI for Customer Service, by Country USD Million (2023-2028)
  • Table 351. North America AI for Customer Service, by Type USD Million (2023-2028)
  • Table 352. North America AI for Customer Service, by Application USD Million (2023-2028)
  • Table 353. North America AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 354. North America AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 355. North America AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 356. North America AI for Customer Service, by Component USD Million (2023-2028)
  • Table 357. United States AI for Customer Service, by Type USD Million (2023-2028)
  • Table 358. United States AI for Customer Service, by Application USD Million (2023-2028)
  • Table 359. United States AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 360. United States AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 361. United States AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 362. United States AI for Customer Service, by Component USD Million (2023-2028)
  • Table 363. Canada AI for Customer Service, by Type USD Million (2023-2028)
  • Table 364. Canada AI for Customer Service, by Application USD Million (2023-2028)
  • Table 365. Canada AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 366. Canada AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 367. Canada AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 368. Canada AI for Customer Service, by Component USD Million (2023-2028)
  • Table 369. Mexico AI for Customer Service, by Type USD Million (2023-2028)
  • Table 370. Mexico AI for Customer Service, by Application USD Million (2023-2028)
  • Table 371. Mexico AI for Customer Service, by Industry USD Million (2023-2028)
  • Table 372. Mexico AI for Customer Service, by Technology USD Million (2023-2028)
  • Table 373. Mexico AI for Customer Service, by Enterprise USD Million (2023-2028)
  • Table 374. Mexico AI for Customer Service, by Component USD Million (2023-2028)
  • Table 375. Research Programs/Design for This Report
  • Table 376. Key Data Information from Secondary Sources
  • Table 377. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global AI for Customer Service: by Type USD Million (2017-2022)
  • Figure 5. Global AI for Customer Service: by Application USD Million (2017-2022)
  • Figure 6. Global AI for Customer Service: by Industry USD Million (2017-2022)
  • Figure 7. Global AI for Customer Service: by Technology USD Million (2017-2022)
  • Figure 8. Global AI for Customer Service: by Enterprise USD Million (2017-2022)
  • Figure 9. Global AI for Customer Service: by Component USD Million (2017-2022)
  • Figure 10. South America AI for Customer Service Share (%), by Country
  • Figure 11. Asia Pacific AI for Customer Service Share (%), by Country
  • Figure 12. Europe AI for Customer Service Share (%), by Country
  • Figure 13. MEA AI for Customer Service Share (%), by Country
  • Figure 14. North America AI for Customer Service Share (%), by Country
  • Figure 15. Global AI for Customer Service share by Players 2022 (%)
  • Figure 16. Global AI for Customer Service share by Players (Top 3) 2022(%)
  • Figure 17. Global AI for Customer Service share by Players (Top 5) 2022(%)
  • Figure 18. BCG Matrix for key Companies
  • Figure 19. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM (United States) Revenue: by Geography 2022
  • Figure 21. Ant Group (China) Revenue, Net Income and Gross profit
  • Figure 22. Ant Group (China) Revenue: by Geography 2022
  • Figure 23. Chatra (India) Revenue, Net Income and Gross profit
  • Figure 24. Chatra (India) Revenue: by Geography 2022
  • Figure 25. ClickDesk (India) Revenue, Net Income and Gross profit
  • Figure 26. ClickDesk (India) Revenue: by Geography 2022
  • Figure 27. Freshworks (United States) Revenue, Net Income and Gross profit
  • Figure 28. Freshworks (United States) Revenue: by Geography 2022
  • Figure 29. Huawei (China) Revenue, Net Income and Gross profit
  • Figure 30. Huawei (China) Revenue: by Geography 2022
  • Figure 31. Kayako (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. Kayako (United Kingdom) Revenue: by Geography 2022
  • Figure 33. LivePerson (United States) Revenue, Net Income and Gross profit
  • Figure 34. LivePerson (United States) Revenue: by Geography 2022
  • Figure 35. Olark (United States) Revenue, Net Income and Gross profit
  • Figure 36. Olark (United States) Revenue: by Geography 2022
  • Figure 37. Provide Support (United States) Revenue, Net Income and Gross profit
  • Figure 38. Provide Support (United States) Revenue: by Geography 2022
  • Figure 39. Global AI for Customer Service: by Type USD Million (2023-2028)
  • Figure 40. Global AI for Customer Service: by Application USD Million (2023-2028)
  • Figure 41. Global AI for Customer Service: by Industry USD Million (2023-2028)
  • Figure 42. Global AI for Customer Service: by Technology USD Million (2023-2028)
  • Figure 43. Global AI for Customer Service: by Enterprise USD Million (2023-2028)
  • Figure 44. Global AI for Customer Service: by Component USD Million (2023-2028)
  • Figure 45. South America AI for Customer Service Share (%), by Country
  • Figure 46. Asia Pacific AI for Customer Service Share (%), by Country
  • Figure 47. Europe AI for Customer Service Share (%), by Country
  • Figure 48. MEA AI for Customer Service Share (%), by Country
  • Figure 49. North America AI for Customer Service Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Ant Group (China)
  • Chatra (India)
  • ClickDesk (India)
  • Freshworks (United States)
  • Huawei (China)
  • Kayako (United Kingdom)
  • LivePerson (United States)
  • Olark (United States)
  • Provide Support (United States)
Additional players considered in the study are as follows:
Salesforce Essentials (San Francisco) , SnapEngage (United States) , Tidio (United States) , Others
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Key Highlights of Report


May 2023 227 Pages 70 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global AI for Customer Service Market Quantitative research analysis
Global AI for Customer Service Market Qualitative Industry Analysis
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