Industry: Service & Software
Published Date: 2025-03-11
Pages: 137 Pages
Report ld: 4638983
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The global market for Generative AI in Customer Service was estimated to be worth US$ million in 2024 and is forecast to a readjusted size of US$ million by 2031 with a CAGR of %during the forecast period 2025-2031.
Generative AI in customer service refers to the use of artificial intelligence technologies, specifically generative models, to enhance customer interactions and support in various ways. Generative AI models, such as generative adversarial networks (GANs) and transformer-based models like GPT (Generative Pre-trained Transformer), have the capability to generate human-like text, responses, and conversations based on the input data they are trained on.
North American market for Generative AI in Customer Service was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Generative AI in Customer Service was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Europe market for Generative AI in Customer Service was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global key companies of Generative AI in Customer Service include Salesforce, Zendesk, Sprinklr, Google Cloud, Genesys, Verint, Five9, Amazon Connect, Forrester Wave CCaaS, Twilio, etc. In 2024, the global five largest players hold a share approximately % in terms of revenue.
This report aims to provide a comprehensive presentation of the global market for Generative AI in Customer Service, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Generative AI in Customer Service by region & country, by Type, and by Application.
The Generative AI in Customer Service market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Generative AI in Customer Service.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Generative AI in Customer Service company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Generative AI in Customer Service in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Generative AI in Customer Service in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 Generative AI in Customer Service Product Introduction
1.2 Global Generative AI in Customer Service Market Size Forecast (2020-2031)
1.3 Generative AI in Customer Service Market Trends & Drivers
1.3.1 Generative AI in Customer Service Industry Trends
1.3.2 Generative AI in Customer Service Market Drivers & Opportunity
1.3.3 Generative AI in Customer Service Market Challenges
1.3.4 Generative AI in Customer Service Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Generative AI in Customer Service Players Revenue Ranking (2024)
2.2 Global Generative AI in Customer Service Revenue by Company (2020-2025)
2.3 Key Companies Generative AI in Customer Service Manufacturing Base Distribution and Headquarters
2.4 Key Companies Generative AI in Customer Service Product Offered
2.5 Key Companies Time to Begin Mass Production of Generative AI in Customer Service
2.6 Generative AI in Customer Service Market Competitive Analysis
2.6.1 Generative AI in Customer Service Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Generative AI in Customer Service Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Generative AI in Customer Service as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 On-Premises
3.1.2 Cloud-based
3.2 Global Generative AI in Customer Service Sales Value by Type
3.2.1 Global Generative AI in Customer Service Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Generative AI in Customer Service Sales Value, by Type (2020-2031)
3.2.3 Global Generative AI in Customer Service Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Chatbots and Virtual Assistants Systems
4.1.2 Natural Language Processing (NLP) Systems
4.1.3 Automated Email Response Systems
4.1.4 Interactive Voice Response (IVR) Systems
4.1.5 Others
4.2 Global Generative AI in Customer Service Sales Value by Application
4.2.1 Global Generative AI in Customer Service Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Generative AI in Customer Service Sales Value, by Application (2020-2031)
4.2.3 Global Generative AI in Customer Service Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Generative AI in Customer Service Sales Value by Region
5.1.1 Global Generative AI in Customer Service Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Generative AI in Customer Service Sales Value by Region (2020-2025)
5.1.3 Global Generative AI in Customer Service Sales Value by Region (2026-2031)
5.1.4 Global Generative AI in Customer Service Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Generative AI in Customer Service Sales Value, 2020-2031
5.2.2 North America Generative AI in Customer Service Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Generative AI in Customer Service Sales Value, 2020-2031
5.3.2 Europe Generative AI in Customer Service Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Generative AI in Customer Service Sales Value, 2020-2031
5.4.2 Asia Pacific Generative AI in Customer Service Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Generative AI in Customer Service Sales Value, 2020-2031
5.5.2 South America Generative AI in Customer Service Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Generative AI in Customer Service Sales Value, 2020-2031
5.6.2 Middle East & Africa Generative AI in Customer Service Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Generative AI in Customer Service Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Generative AI in Customer Service Sales Value, 2020-2031
6.3 United States
6.3.1 United States Generative AI in Customer Service Sales Value, 2020-2031
6.3.2 United States Generative AI in Customer Service Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Generative AI in Customer Service Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Generative AI in Customer Service Sales Value, 2020-2031
6.4.2 Europe Generative AI in Customer Service Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Generative AI in Customer Service Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Generative AI in Customer Service Sales Value, 2020-2031
6.5.2 China Generative AI in Customer Service Sales Value by Type (%), 2024 VS 2031
6.5.3 China Generative AI in Customer Service Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Generative AI in Customer Service Sales Value, 2020-2031
6.6.2 Japan Generative AI in Customer Service Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Generative AI in Customer Service Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Generative AI in Customer Service Sales Value, 2020-2031
6.7.2 South Korea Generative AI in Customer Service Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Generative AI in Customer Service Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Generative AI in Customer Service Sales Value, 2020-2031
6.8.2 Southeast Asia Generative AI in Customer Service Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Generative AI in Customer Service Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Generative AI in Customer Service Sales Value, 2020-2031
6.9.2 India Generative AI in Customer Service Sales Value by Type (%), 2024 VS 2031
6.9.3 India Generative AI in Customer Service Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Salesforce
7.1.1 Salesforce Profile
7.1.2 Salesforce Main Business
7.1.3 Salesforce Generative AI in Customer Service Products, Services and Solutions
7.1.4 Salesforce Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.1.5 Salesforce Recent Developments
7.2 Zendesk
7.2.1 Zendesk Profile
7.2.2 Zendesk Main Business
7.2.3 Zendesk Generative AI in Customer Service Products, Services and Solutions
7.2.4 Zendesk Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.2.5 Zendesk Recent Developments
7.3 Sprinklr
7.3.1 Sprinklr Profile
7.3.2 Sprinklr Main Business
7.3.3 Sprinklr Generative AI in Customer Service Products, Services and Solutions
7.3.4 Sprinklr Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.3.5 Sprinklr Recent Developments
7.4 Google Cloud
7.4.1 Google Cloud Profile
7.4.2 Google Cloud Main Business
7.4.3 Google Cloud Generative AI in Customer Service Products, Services and Solutions
7.4.4 Google Cloud Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.4.5 Google Cloud Recent Developments
7.5 Genesys
7.5.1 Genesys Profile
7.5.2 Genesys Main Business
7.5.3 Genesys Generative AI in Customer Service Products, Services and Solutions
7.5.4 Genesys Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.5.5 Genesys Recent Developments
7.6 Verint
7.6.1 Verint Profile
7.6.2 Verint Main Business
7.6.3 Verint Generative AI in Customer Service Products, Services and Solutions
7.6.4 Verint Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.6.5 Verint Recent Developments
7.7 Five9
7.7.1 Five9 Profile
7.7.2 Five9 Main Business
7.7.3 Five9 Generative AI in Customer Service Products, Services and Solutions
7.7.4 Five9 Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.7.5 Five9 Recent Developments
7.8 Amazon Connect
7.8.1 Amazon Connect Profile
7.8.2 Amazon Connect Main Business
7.8.3 Amazon Connect Generative AI in Customer Service Products, Services and Solutions
7.8.4 Amazon Connect Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.8.5 Amazon Connect Recent Developments
7.9 Forrester Wave CCaaS
7.9.1 Forrester Wave CCaaS Profile
7.9.2 Forrester Wave CCaaS Main Business
7.9.3 Forrester Wave CCaaS Generative AI in Customer Service Products, Services and Solutions
7.9.4 Forrester Wave CCaaS Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.9.5 Forrester Wave CCaaS Recent Developments
7.10 Twilio
7.10.1 Twilio Profile
7.10.2 Twilio Main Business
7.10.3 Twilio Generative AI in Customer Service Products, Services and Solutions
7.10.4 Twilio Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.10.5 Twilio Recent Developments
7.11 Microsoft
7.11.1 Microsoft Profile
7.11.2 Microsoft Main Business
7.11.3 Microsoft Generative AI in Customer Service Products, Services and Solutions
7.11.4 Microsoft Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.11.5 Microsoft Recent Developments
7.12 Nuance
7.12.1 Nuance Profile
7.12.2 Nuance Main Business
7.12.3 Nuance Generative AI in Customer Service Products, Services and Solutions
7.12.4 Nuance Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.12.5 Nuance Recent Developments
7.13 Cognigy
7.13.1 Cognigy Profile
7.13.2 Cognigy Main Business
7.13.3 Cognigy Generative AI in Customer Service Products, Services and Solutions
7.13.4 Cognigy Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.13.5 Cognigy Recent Developments
7.14 InMoment
7.14.1 InMoment Profile
7.14.2 InMoment Main Business
7.14.3 InMoment Generative AI in Customer Service Products, Services and Solutions
7.14.4 InMoment Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.14.5 InMoment Recent Developments
7.15 Cresta
7.15.1 Cresta Profile
7.15.2 Cresta Main Business
7.15.3 Cresta Generative AI in Customer Service Products, Services and Solutions
7.15.4 Cresta Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.15.5 Cresta Recent Developments
7.16 Oracle Fusion Service
7.16.1 Oracle Fusion Service Profile
7.16.2 Oracle Fusion Service Main Business
7.16.3 Oracle Fusion Service Generative AI in Customer Service Products, Services and Solutions
7.16.4 Oracle Fusion Service Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.16.5 Oracle Fusion Service Recent Developments
7.17 IBM Watson
7.17.1 IBM Watson Profile
7.17.2 IBM Watson Main Business
7.17.3 IBM Watson Generative AI in Customer Service Products, Services and Solutions
7.17.4 IBM Watson Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.17.5 IBM Watson Recent Developments
7.18 LivePerson
7.18.1 LivePerson Profile
7.18.2 LivePerson Main Business
7.18.3 LivePerson Generative AI in Customer Service Products, Services and Solutions
7.18.4 LivePerson Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.18.5 LivePerson Recent Developments
7.19 Ada CX
7.19.1 Ada CX Profile
7.19.2 Ada CX Main Business
7.19.3 Ada CX Generative AI in Customer Service Products, Services and Solutions
7.19.4 Ada CX Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.19.5 Ada CX Recent Developments
7.20 SAP CX
7.20.1 SAP CX Profile
7.20.2 SAP CX Main Business
7.20.3 SAP CX Generative AI in Customer Service Products, Services and Solutions
7.20.4 SAP CX Generative AI in Customer Service Revenue (US$ Million) & (2020-2025)
7.20.5 SAP CX Recent Developments
8 Industry Chain Analysis
8.1 Generative AI in Customer Service Industrial Chain
8.2 Generative AI in Customer Service Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Generative AI in Customer Service Sales Model
8.5.2 Sales Channel
8.5.3 Generative AI in Customer Service Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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