
Global AI Customer Service Software Market Growth (Status and Outlook) 2025-2031
Description
The global AI Customer Service Software market size is predicted to grow from US$ 1961 million in 2025 to US$ 2952 million in 2031; it is expected to grow at a CAGR of 7.1% from 2025 to 2031.
AI customer service software is a sophisticated technological solution that harnesses the power of artificial intelligence to streamline and enhance the delivery of customer support services. It encompasses a range of intelligent tools and algorithms, primarily relying on natural language processing (NLP) to understand and interpret human language, whether in text or voice format. Machine learning capabilities enable the software to continuously learn from customer interactions, improving its responses and problem-solving abilities over time. This software can operate as chatbots, engaging in real-time conversations with customers on websites, messaging apps, or social media platforms, answering frequently asked questions, providing product or service information, and guiding users through various processes. It can also be integrated into voice-based systems, such as call centers, to handle customer inquiries, route calls appropriately, and offer automated solutions. Additionally, AI customer service software may incorporate features like sentiment analysis to gauge customer emotions and preferences, enabling businesses to personalize their responses and improve overall customer satisfaction. By automating routine tasks and providing instant assistance, it helps businesses optimize their customer service operations, reduce costs, and enhance the overall customer experience.
United States market for AI Customer Service Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for AI Customer Service Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for AI Customer Service Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key AI Customer Service Software players cover Dixa, Aisera, Zendesk, Dialpad, IBM, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LPI (LP Information)' newest research report, the “AI Customer Service Software Industry Forecast” looks at past sales and reviews total world AI Customer Service Software sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Customer Service Software sales for 2025 through 2031. With AI Customer Service Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Customer Service Software industry.
This Insight Report provides a comprehensive analysis of the global AI Customer Service Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Customer Service Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Customer Service Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Customer Service Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Customer Service Software.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Customer Service Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
Chatbot-based Software
Voice-based AI Software
Others
Segmentation by Application:
E-commerce Industry
Financial Industry
Telecommunications Industry
Medical Industry
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Dixa
Aisera
Zendesk
Dialpad
IBM
SAP
Oracle
Salesforce
Help Scout
Intercom
Forethought
Five9
Avaya
Talkdesk
Aloware
Nice Cxone
Cloudtalk
Freshdesk
Genesys
Verint
Sprinklr
Please note: The report will take approximately 2 business days to prepare and deliver.
AI customer service software is a sophisticated technological solution that harnesses the power of artificial intelligence to streamline and enhance the delivery of customer support services. It encompasses a range of intelligent tools and algorithms, primarily relying on natural language processing (NLP) to understand and interpret human language, whether in text or voice format. Machine learning capabilities enable the software to continuously learn from customer interactions, improving its responses and problem-solving abilities over time. This software can operate as chatbots, engaging in real-time conversations with customers on websites, messaging apps, or social media platforms, answering frequently asked questions, providing product or service information, and guiding users through various processes. It can also be integrated into voice-based systems, such as call centers, to handle customer inquiries, route calls appropriately, and offer automated solutions. Additionally, AI customer service software may incorporate features like sentiment analysis to gauge customer emotions and preferences, enabling businesses to personalize their responses and improve overall customer satisfaction. By automating routine tasks and providing instant assistance, it helps businesses optimize their customer service operations, reduce costs, and enhance the overall customer experience.
United States market for AI Customer Service Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for AI Customer Service Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for AI Customer Service Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key AI Customer Service Software players cover Dixa, Aisera, Zendesk, Dialpad, IBM, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LPI (LP Information)' newest research report, the “AI Customer Service Software Industry Forecast” looks at past sales and reviews total world AI Customer Service Software sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Customer Service Software sales for 2025 through 2031. With AI Customer Service Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Customer Service Software industry.
This Insight Report provides a comprehensive analysis of the global AI Customer Service Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Customer Service Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Customer Service Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Customer Service Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Customer Service Software.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Customer Service Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
Chatbot-based Software
Voice-based AI Software
Others
Segmentation by Application:
E-commerce Industry
Financial Industry
Telecommunications Industry
Medical Industry
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Dixa
Aisera
Zendesk
Dialpad
IBM
SAP
Oracle
Salesforce
Help Scout
Intercom
Forethought
Five9
Avaya
Talkdesk
Aloware
Nice Cxone
Cloudtalk
Freshdesk
Genesys
Verint
Sprinklr
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
154 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 AI Customer Service Software Market Size by Player
- 4 AI Customer Service Software by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global AI Customer Service Software Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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