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市场调查报告书
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1776715

2032 年客户服务市场人工智慧聊天机器人预测：按组件、部署模式、聊天机器人类型、平台、技术、最终用户和地区进行的全球分析

AI-Powered Chatbots in Customer Service Market Forecasts to 2032 - Global Analysis By Component (Solutions, Services), Deployment Mode (Cloud-based, On-premise), Chatbot Type, Platform, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预测期内，全球客户服务领域人工智慧聊天机器人市场将以 25.37% 的复合年增长率成长。

人工智慧聊天机器人是利用机器学习、人工智慧和自然语言处理 (NLP) 与消费者即时沟通的智慧软体应用程式。这些聊天机器人可以模拟人类对话，无需手动协助即可回答问题、提供资讯并引导使用者完成流程。它们可以部署在各种平台上，包括社交媒体、智慧型手机应用程式和网站。人工智慧聊天机器人已成为任何现代客户服务策略的重要组成部分，透过提供全天候协助，提升用户体验、缩短回应时间、节省营运成本、自动化重复性任务并提升客户满意度。

对业务效率和扩充性的需求

企业正在寻找经济实惠的解决方案，既能处理大量客户咨询，又无需额外招募员工。人工智慧聊天机器人全天候 24 小时待命，缩短回应时间，提升客户满意度。透过自动化单调乏味的任务，人工客服人员可以专注于更复杂的问题。可扩展性确保企业在繁忙时段也能轻鬆应对日益增多的客户互动。因此，各行各业的企业都在迅速采用人工智慧聊天机器人来提升客户服务，简化业务流程。

高昂的设置和定製成本

初期投资通常超出中小企业的承受能力。客製化聊天机器人以满足特定行业的需求需要经验丰富的开发人员和持续的整合工作。如果定期进行维护和保养，成本还会更高。因此，企业可能会推迟或放弃使用聊天机器人。这限制了市场扩张，尤其是在成本较高的地区和产业。

地理/领土扩张

随着企业全球化扩张，双语且文化敏感的聊天机器人对于实现无缝客户互动至关重要。金融、电子商务和医疗保健等新兴领域的扩张，推动了对聊天机器人产业专用的例的需求。更广泛的覆盖范围使聊天机器人能够接触不同的资料集和客户互动，从而提升其技能。此外，扩大地理覆盖范围还能增强品牌的竞争优势和知名度。鑑于这些因素，这些扩张将透过提高聊天机器人在各行业的相关性和采用率来推动市场扩张。

客户信任与流失风险

当少数关键客户因高度依赖供应商而更换供应商时，风险会进一步加剧。客户流失风险迫使供应商加大对客户留存倡议的投入，进而降低利润率。不可预测的收益也限制了研发投入。频繁的客户流失会打断产品改进週期，并削弱品牌信任。最终，这会阻碍竞争激烈的聊天机器人领域的永续发展和可扩展性。

COVID-19的影响

新冠疫情爆发，企业面临数位互动激增和人力减少的双重压力，这显着加速了人工智慧聊天机器人在客户服务领域的应用。疫情封锁和保持社交距离的措施迫使企业转向自动化，以提供不间断的客户支援。人工智慧聊天机器人能够在危机期间提供全天候协助、快速解答疑问并降低营运成本。电子商务、医疗保健和银行等产业对聊天机器人的采用激增，以有效应对日益增长的客户需求，使其成为疫情后客户参与策略的重要组成部分。

混合聊天机器人市场预计将在预测期内占据最大份额

混合聊天机器人领域预计将在预测期内占据最大的市场占有率，这得益于其结合了基于规则和人工智慧驱动模型的优势。这些机器人能够在自动回应和人工代理之间实现无缝切换，从而提升客户满意度。机器人能够更有效率地处理复杂的查询，同时保持速度和准确性。混合模式可以减少客户等待时间，提高解决率，并提升整体服务品质。它们在各行业的适应性将进一步推动市场采用和成长。

预计旅游和酒店业在预测期内将以最高复合年增长率成长

预计旅游和酒店业将在预测期内实现最高成长率，这得益于即时客户参与的增强。聊天机器人简化了预订、取消和行程变更流程，无需人工干预即可提供即时支援。它们帮助饭店和航空公司提供全天候多语言支援，从而提高客户满意度和忠诚度。人工智慧聊天机器人还可以透过自动执行重复性查询和任务来降低营运成本。这种高效和个性化服务将推动整个旅游业的广泛应用。

比最大的地区

在预测期内，由于数位化、智慧型手机使用率的上升以及各行各业对全天候客户参与的需求不断增长，亚太地区预计将占据最大的市场占有率。中国、印度、日本和韩国等国家在聊天机器人的采用方面处于领先地位，尤其是在零售、银行和电子商务领域。新兴企业和科技巨头正在积极投资多语言聊天机器人解决方案，以满足不同人群的需求。政府支持人工智慧发展的措施也推动了成长，在地化解决方案越来越受到青睐，以提升用户体验并降低客户支援的营运成本。

复合年增长率最高的地区：

在预测期内，北美预计将呈现最高的复合年增长率，这得益于Google、IBM 和微软等公司的技术创新。医疗保健、金融服务和保险业 (BFSI) 和电信等行业的组织正在利用聊天机器人来简化客户互动、提高满意度并减少客服人员的工作量。该地区受益于较高的人工智慧素养、先进的基础设施以及与分析和 CRM 平台日益增强的整合。机器人个性化和情绪智商正日益重要。监管机构对资料隐私和道德人工智慧的关注正在塑造企业客户服务生态系统的部署策略，尤其是在美国和加拿大。

提供免费客製化：

此报告的订阅者可以从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球客户服务市场中人工智慧聊天机器人的组件

  • 解决方案
  • 服务

6. 全球客户服务市场中基于人工智慧的聊天机器人（按部署模式）

  • 云端基础
  • 本地

7. 全球客户服务市场中基于人工智慧的聊天机器人（按聊天机器人类型）

  • 基于规则的聊天机器人
  • 基于人工智慧的聊天机器人
  • 混合聊天机器人
  • 情境聊天机器人
  • 其他聊天机器人类型

8. 全球客户服务市场中基于人工智慧的聊天机器人（按平台划分）

  • 基于网路
  • 基于行动装置
  • 基于社群媒体
  • 客服中心软体集成
  • 其他平台

9. 全球客户服务市场中人工智慧聊天机器人的技术

  • 机器学习和深度学习
  • 自然语言处理（NLP）
  • 自动语音辨识
  • 文字转语音 (TTS)
  • 其他技术

第 10 章：全球客户服务市场中基于人工智慧的聊天机器人（按最终用户划分）

  • 零售与电子商务
  • 银行、金融服务和保险（BFSI）
  • 卫生保健
  • 通讯
  • 旅游与饭店
  • IT 和 ITES
  • 政府
  • 其他最终用户

第 11 章。按地区分類的全球客户服务市场中的人工智慧聊天机器人

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章：企业概况

  • IBM Corporation
  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services, Inc.（AWS）
  • Salesforce, Inc.
  • LivePerson, Inc.
  • Zendesk, Inc.
  • SAP SE
  • Oracle Corporation
  • Meta Platforms, Inc.
  • Artificial Solutions International AB
  • Kore.ai, Inc.
  • Intercom, Inc.
  • Aivo
  • Rulai, Inc.
  • Ada Support Inc.
  • Inbenta Technologies Inc.
Product Code: SMRC30046

According to Stratistics MRC, the Global AI-Powered Chatbots in Customer Service Market is accounted at a CAGR of 25.37% during the forecast period. AI-powered chatbots are clever software applications that communicate with consumers in real time by utilising machine learning, artificial intelligence, and natural language processing (NLP). Without human assistance, these chatbots may answer questions, deliver information, and walk users through procedures by simulating human-like conversations. They use a variety of platforms, including social media, smartphone apps, and websites. AI chatbots are an essential component of contemporary customer service strategies because they improve user experience, decrease response times, save operating costs, and boost customer satisfaction by automating repetitive jobs and providing round-the-clock assistance.

Market Dynamics:

Driver:

Demand for operational efficiency & scalability

Companies want for affordable solutions that can manage high client query volumes without hiring more employees. AI chatbots are available around-the-clock, speed up response times, and increase customer satisfaction. They free up human agents to concentrate on more complicated problems by automating monotonous operations. Scalability guarantees that businesses can easily handle a rise in client interactions during busy times. As a result, businesses in a variety of sectors are quickly implementing chatbots driven by AI to improve customer service and streamline operational procedures.

Restraint:

High setup & customization cost

The initial investment is frequently beyond the means of small and medium-sized businesses. It takes experienced developers and consistent integration work to customise chatbots to meet the demands of particular industries. When regular repairs and maintenance are required, these expenses increase. Consequently, companies might postpone or refrain from using chatbot. This restricts market expansion, particularly in areas and industries where costs are high.

Opportunity:

Geographic & domain expansion

Chatbot that are bilingual and culturally sensitive are becoming indispensable for smooth customer service as companies expand worldwide. Demand for industry-specific use cases for chat bots is increased by expansion into new sectors like as finance, e-commerce, and healthcare. Through exposure to a variety of data sets and client interactions, this wide reach enhances chatbot skills. Furthermore, increasing geographic reach strengthens a brand's competitive advantage and visibility. All things considered, these extensions propel market expansion by increasing chatbot relevance across industries and broadening usage.

Threat:

Client reliance & churn risk

Vulnerability is increased if a small number of important clients move providers due to high dependence on them. Churn risk lowers profit margins by forcing vendors to invest more in retention initiatives. Because revenue is unpredictable, it also restricts R&D investment. Frequent customer churn shatters cycles of product improvement and undermines brand confidence. Ultimately, this hinders sustainable growth and scalability in the competitive chatbot landscape.

Covid-19 Impact

The COVID-19 pandemic significantly accelerated the adoption of AI-powered chatbots in customer service as businesses faced a surge in digital interactions and reduced human workforce availability. Lockdowns and social distancing norms compelled companies to shift towards automation for uninterrupted customer support. AI chatbots enabled 24/7 assistance, quick resolution of queries, and reduced operational costs during the crisis. Industries such as e-commerce, healthcare, and banking saw a sharp increase in chatbot usage to handle growing customer demands efficiently, making them a vital part of post-pandemic customer engagement strategies.

The hybrid chatbots segment is expected to be the largest during the forecast period

The hybrid chatbots segment is expected to account for the largest market share during the forecast period by combining the strengths of rule-based and AI-driven models. These bots offer seamless handoffs between automated responses and human agents, enhancing customer satisfaction. They enable businesses to handle complex queries more efficiently while maintaining speed and accuracy. Hybrid models reduce customer wait times and improve resolution rates, boosting overall service quality. Their adaptability across various industries further accelerates market adoption and growth.

The travel & hospitality segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the travel & hospitality segment is predicted to witness the highest growth rate, due to enhanced real-time customer engagement. Chatbots streamline bookings, cancellations, and itinerary changes, providing instant support without human intervention. They help hotels and airlines offer 24/7 multilingual assistance, improving customer satisfaction and loyalty. AI chatbots also reduce operational costs by automating repetitive inquiries and tasks. This efficiency and personalization drive increased adoption across the travel industry.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to increasing digitalization, smartphone usage, and rising demand for 24/7 customer engagement across industries. Countries like China, India, Japan, and South Korea are leading in chatbot adoption, especially in retail, banking, and e-commerce sectors. Startups and tech giants are actively investing in multilingual chatbot solutions to cater to diverse populations. Government initiatives supporting AI development also fuel growth, with localized solutions gaining traction to enhance user experience and reduce operational costs in customer support.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to the innovation in companies like Google, IBM, and Microsoft. Organizations in sectors such as healthcare, BFSI, and telecom utilize chatbot to streamline customer interactions, improve satisfaction, and reduce agent workload. The region benefits from high AI literacy, advanced infrastructure, and growing integration with analytics and CRM platforms. Personalization and emotional intelligence in bots are increasingly emphasized. Regulatory focus on data privacy and ethical AI shapes deployment strategies, especially in the U.S. and Canada's enterprise customer service ecosystems.

Key players in the market

Some of the key players profiled in the AI-Powered Chatbots in Customer Service Market include IBM Corporation, Google LLC, Microsoft Corporation, Amazon Web Services, Inc. (AWS), Salesforce, Inc., LivePerson, Inc., Zendesk, Inc., SAP SE, Oracle Corporation, Meta Platforms, Inc., Artificial Solutions International AB, Kore.ai, Inc., Intercom, Inc., Aivo, Rulai, Inc., Ada Support Inc. and Inbenta Technologies Inc.

Key Developments:

In June 2025, IBM acquired Seek AI, a natural-language analytics startup, and integrated it into its new Watsonx AI Labs in NYC. This boosts chatbot intelligence by enhancing conversational insight and enterprise data querying.

In May 2025, IBM launched watsonx Orchestrate, offering over 150 pre-built AI agents and third-party integrations. It empowers low-code developers to rapidly build, deploy, and manage AI-powered chatbots.

In April 2025, Microsoft launched three AI agents-Case Management, Customer Intent, and Knowledge Management-for Dynamics 365 Customer Service in public preview. These agents streamline customer service by automating case resolution, classifying customer intents from interactions, and generating/updating knowledge base articles, significantly enhancing efficiency and reducing agent workload in contact centers.

Components Covered:

  • Solutions
  • Services

Deployment Mode Covered:

  • Cloud-Based
  • On-Premise

Chatbot Types Covered:

  • Rule-Based Chatbots
  • AI-Based Chatbots
  • Hybrid Chatbots
  • Contextual Chatbots
  • Other Chatbot Types

Platforms Covered:

  • Web-Based
  • Mobile-Based
  • Social Media-Based
  • Contact Center Software Integration
  • Other Platforms

Technologies Covered:

  • Machine Learning & Deep Learning
  • Natural Language Processing (NLP)
  • Automated Speech Recognition
  • Text-to-Speech (TTS)
  • Other Technologies

End Users Covered:

  • Retail & E-commerce
  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare
  • Telecom
  • Travel & Hospitality
  • IT & ITES
  • Government
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI-Powered Chatbots in Customer Service Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
  • 5.3 Services

6 Global AI-Powered Chatbots in Customer Service Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premise

7 Global AI-Powered Chatbots in Customer Service Market, By Chatbot Type

  • 7.1 Introduction
  • 7.2 Rule-Based Chatbots
  • 7.3 AI-Based Chatbots
  • 7.4 Hybrid Chatbots
  • 7.5 Contextual Chatbots
  • 7.6 Other Chatbot Types

8 Global AI-Powered Chatbots in Customer Service Market, By Platform

  • 8.1 Introduction
  • 8.2 Web-Based
  • 8.3 Mobile-Based
  • 8.4 Social Media-Based
  • 8.5 Contact Center Software Integration
  • 8.6 Other Platforms

9 Global AI-Powered Chatbots in Customer Service Market, By Technology

  • 9.1 Introduction
  • 9.2 Machine Learning & Deep Learning
  • 9.3 Natural Language Processing (NLP)
  • 9.4 Automated Speech Recognition
  • 9.5 Text-to-Speech (TTS)
  • 9.6 Other Technologies

10 Global AI-Powered Chatbots in Customer Service Market, By End User

  • 10.1 Introduction
  • 10.2 Retail & E-commerce
  • 10.3 Banking, Financial Services & Insurance (BFSI)
  • 10.4 Healthcare
  • 10.5 Telecom
  • 10.6 Travel & Hospitality
  • 10.7 IT & ITES
  • 10.8 Government
  • 10.9 Other End Users

11 Global AI-Powered Chatbots in Customer Service Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 IBM Corporation
  • 13.2 Google LLC
  • 13.3 Microsoft Corporation
  • 13.4 Amazon Web Services, Inc. (AWS)
  • 13.5 Salesforce, Inc.
  • 13.6 LivePerson, Inc.
  • 13.7 Zendesk, Inc.
  • 13.8 SAP SE
  • 13.9 Oracle Corporation
  • 13.10 Meta Platforms, Inc.
  • 13.11 Artificial Solutions International AB
  • 13.12 Kore.ai, Inc.
  • 13.13 Intercom, Inc.
  • 13.14 Aivo
  • 13.15 Rulai, Inc.
  • 13.16 Ada Support Inc.
  • 13.17 Inbenta Technologies Inc.

List of Tables

  • Table 1 Global AI-Powered Chatbots in Customer Service Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Powered Chatbots in Customer Service Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI-Powered Chatbots in Customer Service Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI-Powered Chatbots in Customer Service Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global AI-Powered Chatbots in Customer Service Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 6 Global AI-Powered Chatbots in Customer Service Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 7 Global AI-Powered Chatbots in Customer Service Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 8 Global AI-Powered Chatbots in Customer Service Market Outlook, By Chatbot Type (2024-2032) ($MN)
  • Table 9 Global AI-Powered Chatbots in Customer Service Market Outlook, By Rule-Based Chatbots (2024-2032) ($MN)
  • Table 10 Global AI-Powered Chatbots in Customer Service Market Outlook, By AI-Based Chatbots (2024-2032) ($MN)
  • Table 11 Global AI-Powered Chatbots in Customer Service Market Outlook, By Hybrid Chatbots (2024-2032) ($MN)
  • Table 12 Global AI-Powered Chatbots in Customer Service Market Outlook, By Contextual Chatbots (2024-2032) ($MN)
  • Table 13 Global AI-Powered Chatbots in Customer Service Market Outlook, By Other Chatbot Types (2024-2032) ($MN)
  • Table 14 Global AI-Powered Chatbots in Customer Service Market Outlook, By Platform (2024-2032) ($MN)
  • Table 15 Global AI-Powered Chatbots in Customer Service Market Outlook, By Web-Based (2024-2032) ($MN)
  • Table 16 Global AI-Powered Chatbots in Customer Service Market Outlook, By Mobile-Based (2024-2032) ($MN)
  • Table 17 Global AI-Powered Chatbots in Customer Service Market Outlook, By Social Media-Based (2024-2032) ($MN)
  • Table 18 Global AI-Powered Chatbots in Customer Service Market Outlook, By Contact Center Software Integration (2024-2032) ($MN)
  • Table 19 Global AI-Powered Chatbots in Customer Service Market Outlook, By Other Platforms (2024-2032) ($MN)
  • Table 20 Global AI-Powered Chatbots in Customer Service Market Outlook, By Technology (2024-2032) ($MN)
  • Table 21 Global AI-Powered Chatbots in Customer Service Market Outlook, By Machine Learning & Deep Learning (2024-2032) ($MN)
  • Table 22 Global AI-Powered Chatbots in Customer Service Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 23 Global AI-Powered Chatbots in Customer Service Market Outlook, By Automated Speech Recognition (2024-2032) ($MN)
  • Table 24 Global AI-Powered Chatbots in Customer Service Market Outlook, By Text-to-Speech (TTS) (2024-2032) ($MN)
  • Table 25 Global AI-Powered Chatbots in Customer Service Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 26 Global AI-Powered Chatbots in Customer Service Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global AI-Powered Chatbots in Customer Service Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 28 Global AI-Powered Chatbots in Customer Service Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 29 Global AI-Powered Chatbots in Customer Service Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 30 Global AI-Powered Chatbots in Customer Service Market Outlook, By Telecom (2024-2032) ($MN)
  • Table 31 Global AI-Powered Chatbots in Customer Service Market Outlook, By Travel & Hospitality (2024-2032) ($MN)
  • Table 32 Global AI-Powered Chatbots in Customer Service Market Outlook, By IT & ITES (2024-2032) ($MN)
  • Table 33 Global AI-Powered Chatbots in Customer Service Market Outlook, By Government (2024-2032) ($MN)
  • Table 34 Global AI-Powered Chatbots in Customer Service Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.