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1776715

2032 年客戶服務市場人工智慧聊天機器人預測：按組件、部署模式、聊天機器人類型、平台、技術、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，預測期內，全球客戶服務領域人工智慧聊天機器人市場將以 25.37% 的複合年成長率成長。

人工智慧聊天機器人是利用機器學習、人工智慧和自然語言處理 (NLP) 與消費者即時溝通的智慧軟體應用程式。這些聊天機器人可以模擬人類對話，無需手動協助即可回答問題、提供資訊並引導使用者完成流程。它們可以部署在各種平台上，包括社交媒體、智慧型手機應用程式和網站。人工智慧聊天機器人已成為任何現代客戶服務策略的重要組成部分，透過提供全天候協助，提升用戶體驗、縮短回應時間、節省營運成本、自動化重複性任務並提升客戶滿意度。

對業務效率和擴充性的需求

企業正在尋找經濟實惠的解決方案，既能處理大量客戶諮詢，又無需額外招募員工。人工智慧聊天機器人全天候 24 小時待命，縮短回應時間，提升客戶滿意度。透過自動化單調乏味的任務，人工客服人員可以專注於更複雜的問題。可擴展性確保企業在繁忙時段也能輕鬆應對日益增多的客戶互動。因此，各行各業的企業都在迅速採用人工智慧聊天機器人來提升客戶服務，簡化業務流程。

高昂的設置和定製成本

初期投資通常超出中小企業的承受能力。客製化聊天機器人以滿足特定行業的需求需要經驗豐富的開發人員和持續的整合工作。如果定期進行維護和保養，成本還會更高。因此，企業可能會推遲或放棄使用聊天機器人。這限制了市場擴張，尤其是在成本較高的地區和產業。

地理/領土擴張

隨著企業全球化擴張，雙語且文化敏感的聊天機器人對於實現無縫客戶互動至關重要。金融、電子商務和醫療保健等新興領域的擴張，推動了對聊天機器人產業專用的例的需求。更廣泛的覆蓋範圍使聊天機器人能夠接觸不同的資料集和客戶互動，從而提升其技能。此外，擴大地理覆蓋範圍還能增強品牌的競爭優勢和知名度。鑑於這些因素，這些擴張將透過提高聊天機器人在各行業的相關性和採用率來推動市場擴張。

客戶信任與流失風險

當少數關鍵客戶因高度依賴供應商而更換供應商時，風險會進一步加劇。客戶流失風險迫使供應商加大對客戶留存舉措的投入，進而降低利潤率。不可預測的收益也限制了研發投入。頻繁的客戶流失會打斷產品改進週期，並削弱品牌信任。最終，這會阻礙競爭激烈的聊天機器人領域的永續發展和可擴展性。

COVID-19的影響

新冠疫情爆發，企業面臨數位互動激增和人力減少的雙重壓力，這顯著加速了人工智慧聊天機器人在客戶服務領域的應用。疫情封鎖和保持社交距離的措施迫使企業轉向自動化，以提供不間斷的客戶支援。人工智慧聊天機器人能夠在危機期間提供全天候協助、快速解答疑問並降低營運成本。電子商務、醫療保健和銀行等產業對聊天機器人的採用激增，以有效應對日益成長的客戶需求，使其成為疫情後客戶參與策略的重要組成部分。

混合聊天機器人市場預計將在預測期內佔據最大佔有率

混合聊天機器人領域預計將在預測期內佔據最大的市場佔有率，這得益於其結合了基於規則和人工智慧驅動模型的優勢。這些機器人能夠在自動回應和人工代理之間實現無縫切換，從而提升客戶滿意度。機器人能夠更有效率地處理複雜的查詢，同時保持速度和準確性。混合模式可以減少客戶等待時間，提高解決率，並提升整體服務品質。它們在各行業的適應性將進一步推動市場採用和成長。

預計旅遊和酒店業在預測期內將以最高複合年成長率成長

預計旅遊和酒店業將在預測期內實現最高成長率，這得益於即時客戶參與的增強。聊天機器人簡化了預訂、取消和行程變更流程，無需人工干預即可提供即時支援。它們幫助飯店和航空公司提供全天候多語言支援，從而提高客戶滿意度和忠誠度。人工智慧聊天機器人還可以透過自動執行重複性查詢和任務來降低營運成本。這種高效和個性化服務將推動整個旅遊業的廣泛應用。

比最大的地區

在預測期內，由於數位化、智慧型手機使用率的上升以及各行各業對全天候客戶參與的需求不斷成長，亞太地區預計將佔據最大的市場佔有率。中國、印度、日本和韓國等國家在聊天機器人的採用方面處於領先地位，尤其是在零售、銀行和電子商務領域。新興企業和科技巨頭正在積極投資多語言聊天機器人解決方案，以滿足不同人群的需求。政府支持人工智慧發展的措施也推動了成長，在地化解決方案越來越受到青睞，以提升用戶體驗並降低客戶支援的營運成本。

複合年成長率最高的地區：

在預測期內，北美預計將呈現最高的複合年成長率，這得益於Google、IBM 和微軟等公司的技術創新。醫療保健、金融服務和保險業 (BFSI) 和電信等行業的組織正在利用聊天機器人來簡化客戶互動、提高滿意度並減少客服人員的工作量。該地區受益於較高的人工智慧素養、先進的基礎設施以及與分析和 CRM 平台日益增強的整合。機器人個性化和情緒智商正日益重要。監管機構對資料隱私和道德人工智慧的關注正在塑造企業客戶服務生態系統的部署策略，尤其是在美國和加拿大。

提供免費客製化：

此報告的訂閱者可以從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他市場公司進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球客戶服務市場中人工智慧聊天機器人的組件

  • 解決方案
  • 服務

6. 全球客戶服務市場中基於人工智慧的聊天機器人（按部署模式）

  • 雲端基礎
  • 本地

7. 全球客戶服務市場中基於人工智慧的聊天機器人（按聊天機器人類型）

  • 基於規則的聊天機器人
  • 基於人工智慧的聊天機器人
  • 混合聊天機器人
  • 情境聊天機器人
  • 其他聊天機器人類型

8. 全球客戶服務市場中基於人工智慧的聊天機器人（按平台分類）

  • 基於網路
  • 基於行動裝置
  • 基於社群媒體
  • 客服中心軟體整合
  • 其他平台

9. 全球客戶服務市場中人工智慧聊天機器人的技術

  • 機器學習和深度學習
  • 自然語言處理（NLP）
  • 自動語音辨識
  • 文字轉語音 (TTS)
  • 其他技術

第 10 章：全球客戶服務市場中基於人工智慧的聊天機器人（按最終用戶分類）

  • 零售與電子商務
  • 銀行、金融服務和保險（BFSI）
  • 衛生保健
  • 通訊
  • 旅遊與飯店
  • IT 和 ITES
  • 政府
  • 其他最終用戶

第 11 章。按地區分類的全球客戶服務市場中的人工智慧聊天機器人

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章：企業概況

  • 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.