Global Generative AI in Customer Service 麻豆原创 Research Report 2024

Publication ID:

PB504241936

Publication Date:

April 17, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global Generative AI in Customer Service market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Generative AI in Customer Service is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Generative AI in Customer Service is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Generative AI in Customer Service in Chatbots and Virtual Assistants Systems is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Generative AI in Customer Service include Salesforce, Zendesk, Sprinklr, Google Cloud, Genesys, Verint, Five9, Amazon Connect, Forrester Wave CCaaS, Twilio, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Generative AI in Customer Service, 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.
The Generative AI in Customer Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Generative AI in Customer Service market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Generative AI in Customer Service companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Salesforce
Zendesk
Sprinklr
Google Cloud
Genesys
Verint
Five9
Amazon Connect
Forrester Wave CCaaS
Twilio
Microsoft
Nuance
Cognigy
InMoment
Cresta
Oracle Fusion Service
IBM Watson
LivePerson
Ada CX
SAP CX
Segment by Type
On-Premises
Cloud-based
Segment by Application
Chatbots and Virtual Assistants Systems
Natural Language Processing (NLP) Systems
Automated Email Response Systems
Interactive Voice Response (IVR) Systems
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Generative AI in Customer Service company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Generative AI in Customer Service 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud-based
1.3 麻豆原创 by Application
1.3.1 Global Generative AI in Customer Service 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Chatbots and Virtual Assistants Systems
1.3.3 Natural Language Processing (NLP) Systems
1.3.4 Automated Email Response Systems
1.3.5 Interactive Voice Response (IVR) Systems
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Generative AI in Customer Service 麻豆原创 Perspective (2019-2030)
2.2 Global Generative AI in Customer Service Growth Trends by Region
2.2.1 Global Generative AI in Customer Service 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Generative AI in Customer Service Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Generative AI in Customer Service Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Generative AI in Customer Service 麻豆原创 Dynamics
2.3.1 Generative AI in Customer Service Industry Trends
2.3.2 Generative AI in Customer Service 麻豆原创 Drivers
2.3.3 Generative AI in Customer Service 麻豆原创 Challenges
2.3.4 Generative AI in Customer Service 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Generative AI in Customer Service Players by Revenue
3.1.1 Global Top Generative AI in Customer Service Players by Revenue (2019-2024)
3.1.2 Global Generative AI in Customer Service Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Generative AI in Customer Service 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Generative AI in Customer Service Revenue
3.4 Global Generative AI in Customer Service 麻豆原创 Concentration Ratio
3.4.1 Global Generative AI in Customer Service 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Generative AI in Customer Service Revenue in 2023
3.5 Global Key Players of Generative AI in Customer Service Head office and Area Served
3.6 Global Key Players of Generative AI in Customer Service, Product and Application
3.7 Global Key Players of Generative AI in Customer Service, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Generative AI in Customer Service Breakdown Data by Type
4.1 Global Generative AI in Customer Service Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Generative AI in Customer Service Forecasted 麻豆原创 Size by Type (2025-2030)
5 Generative AI in Customer Service Breakdown Data by Application
5.1 Global Generative AI in Customer Service Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Generative AI in Customer Service Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Generative AI in Customer Service 麻豆原创 Size (2019-2030)
6.2 North America Generative AI in Customer Service 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Generative AI in Customer Service 麻豆原创 Size by Country (2019-2024)
6.4 North America Generative AI in Customer Service 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Generative AI in Customer Service 麻豆原创 Size (2019-2030)
7.2 Europe Generative AI in Customer Service 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Generative AI in Customer Service 麻豆原创 Size by Country (2019-2024)
7.4 Europe Generative AI in Customer Service 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Generative AI in Customer Service 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Generative AI in Customer Service 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Generative AI in Customer Service 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Generative AI in Customer Service 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Generative AI in Customer Service 麻豆原创 Size (2019-2030)
9.2 Latin America Generative AI in Customer Service 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Generative AI in Customer Service 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Generative AI in Customer Service 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Generative AI in Customer Service 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Generative AI in Customer Service 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Generative AI in Customer Service 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Generative AI in Customer Service 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Salesforce
11.1.1 Salesforce Company Details
11.1.2 Salesforce Business Overview
11.1.3 Salesforce Generative AI in Customer Service Introduction
11.1.4 Salesforce Revenue in Generative AI in Customer Service Business (2019-2024)
11.1.5 Salesforce Recent Development
11.2 Zendesk
11.2.1 Zendesk Company Details
11.2.2 Zendesk Business Overview
11.2.3 Zendesk Generative AI in Customer Service Introduction
11.2.4 Zendesk Revenue in Generative AI in Customer Service Business (2019-2024)
11.2.5 Zendesk Recent Development
11.3 Sprinklr
11.3.1 Sprinklr Company Details
11.3.2 Sprinklr Business Overview
11.3.3 Sprinklr Generative AI in Customer Service Introduction
11.3.4 Sprinklr Revenue in Generative AI in Customer Service Business (2019-2024)
11.3.5 Sprinklr Recent Development
11.4 Google Cloud
11.4.1 Google Cloud Company Details
11.4.2 Google Cloud Business Overview
11.4.3 Google Cloud Generative AI in Customer Service Introduction
11.4.4 Google Cloud Revenue in Generative AI in Customer Service Business (2019-2024)
11.4.5 Google Cloud Recent Development
11.5 Genesys
11.5.1 Genesys Company Details
11.5.2 Genesys Business Overview
11.5.3 Genesys Generative AI in Customer Service Introduction
11.5.4 Genesys Revenue in Generative AI in Customer Service Business (2019-2024)
11.5.5 Genesys Recent Development
11.6 Verint
11.6.1 Verint Company Details
11.6.2 Verint Business Overview
11.6.3 Verint Generative AI in Customer Service Introduction
11.6.4 Verint Revenue in Generative AI in Customer Service Business (2019-2024)
11.6.5 Verint Recent Development
11.7 Five9
11.7.1 Five9 Company Details
11.7.2 Five9 Business Overview
11.7.3 Five9 Generative AI in Customer Service Introduction
11.7.4 Five9 Revenue in Generative AI in Customer Service Business (2019-2024)
11.7.5 Five9 Recent Development
11.8 Amazon Connect
11.8.1 Amazon Connect Company Details
11.8.2 Amazon Connect Business Overview
11.8.3 Amazon Connect Generative AI in Customer Service Introduction
11.8.4 Amazon Connect Revenue in Generative AI in Customer Service Business (2019-2024)
11.8.5 Amazon Connect Recent Development
11.9 Forrester Wave CCaaS
11.9.1 Forrester Wave CCaaS Company Details
11.9.2 Forrester Wave CCaaS Business Overview
11.9.3 Forrester Wave CCaaS Generative AI in Customer Service Introduction
11.9.4 Forrester Wave CCaaS Revenue in Generative AI in Customer Service Business (2019-2024)
11.9.5 Forrester Wave CCaaS Recent Development
11.10 Twilio
11.10.1 Twilio Company Details
11.10.2 Twilio Business Overview
11.10.3 Twilio Generative AI in Customer Service Introduction
11.10.4 Twilio Revenue in Generative AI in Customer Service Business (2019-2024)
11.10.5 Twilio Recent Development
11.11 Microsoft
11.11.1 Microsoft Company Details
11.11.2 Microsoft Business Overview
11.11.3 Microsoft Generative AI in Customer Service Introduction
11.11.4 Microsoft Revenue in Generative AI in Customer Service Business (2019-2024)
11.11.5 Microsoft Recent Development
11.12 Nuance
11.12.1 Nuance Company Details
11.12.2 Nuance Business Overview
11.12.3 Nuance Generative AI in Customer Service Introduction
11.12.4 Nuance Revenue in Generative AI in Customer Service Business (2019-2024)
11.12.5 Nuance Recent Development
11.13 Cognigy
11.13.1 Cognigy Company Details
11.13.2 Cognigy Business Overview
11.13.3 Cognigy Generative AI in Customer Service Introduction
11.13.4 Cognigy Revenue in Generative AI in Customer Service Business (2019-2024)
11.13.5 Cognigy Recent Development
11.14 InMoment
11.14.1 InMoment Company Details
11.14.2 InMoment Business Overview
11.14.3 InMoment Generative AI in Customer Service Introduction
11.14.4 InMoment Revenue in Generative AI in Customer Service Business (2019-2024)
11.14.5 InMoment Recent Development
11.15 Cresta
11.15.1 Cresta Company Details
11.15.2 Cresta Business Overview
11.15.3 Cresta Generative AI in Customer Service Introduction
11.15.4 Cresta Revenue in Generative AI in Customer Service Business (2019-2024)
11.15.5 Cresta Recent Development
11.16 Oracle Fusion Service
11.16.1 Oracle Fusion Service Company Details
11.16.2 Oracle Fusion Service Business Overview
11.16.3 Oracle Fusion Service Generative AI in Customer Service Introduction
11.16.4 Oracle Fusion Service Revenue in Generative AI in Customer Service Business (2019-2024)
11.16.5 Oracle Fusion Service Recent Development
11.17 IBM Watson
11.17.1 IBM Watson Company Details
11.17.2 IBM Watson Business Overview
11.17.3 IBM Watson Generative AI in Customer Service Introduction
11.17.4 IBM Watson Revenue in Generative AI in Customer Service Business (2019-2024)
11.17.5 IBM Watson Recent Development
11.18 LivePerson
11.18.1 LivePerson Company Details
11.18.2 LivePerson Business Overview
11.18.3 LivePerson Generative AI in Customer Service Introduction
11.18.4 LivePerson Revenue in Generative AI in Customer Service Business (2019-2024)
11.18.5 LivePerson Recent Development
11.19 Ada CX
11.19.1 Ada CX Company Details
11.19.2 Ada CX Business Overview
11.19.3 Ada CX Generative AI in Customer Service Introduction
11.19.4 Ada CX Revenue in Generative AI in Customer Service Business (2019-2024)
11.19.5 Ada CX Recent Development
11.20 SAP CX
11.20.1 SAP CX Company Details
11.20.2 SAP CX Business Overview
11.20.3 SAP CX Generative AI in Customer Service Introduction
11.20.4 SAP CX Revenue in Generative AI in Customer Service Business (2019-2024)
11.20.5 SAP CX Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Salesforce
Zendesk
Sprinklr
Google Cloud
Genesys
Verint
Five9
Amazon Connect
Forrester Wave CCaaS
Twilio
Microsoft
Nuance
Cognigy
InMoment
Cresta
Oracle Fusion Service
IBM Watson
LivePerson
Ada CX
SAP CX

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