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市场调查报告书
商品编码
1370765

对话式人工智慧市场 - 全球产业规模、份额、趋势、机会和预测。 2018-2028F 按组件、部署、类型、技术、最终用户、地区、竞争细分

Conversational AI Market - Global Industry Size, Share, Trends, Opportunity, and Forecast. 2018-2028F Segmented By Component, By Deployment, By Type, By Technology, and By End User, By Region, Competition
出版日期: | 出版商: TechSci Research | 英文 174 Pages | 商品交期: 2-3个工作天内

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简介目录

预计全球对话式人工智慧市场将在 2024 年至 2028 年预测期内蓬勃发展。对人工智慧的需求不断增长、聊天机器人开发成本降低、人工智慧驱动的客户支援服务和全通路部署是主要的市场驱动力。现代行动和线上应用程式正在迅速被基于语音和人工智慧的讯息应用程式所取代，预计这些应用程式将成为一种新的通讯形式。聊天机器人和其他数位化平台用于对话式人工智慧，为客户提供一个可以解决问题并与虚拟助理进行交流的平台。这甚至可以帮助组织透过实施新的客户沟通策略来扩展业务。此外，全通路对话人工智慧根据客户的首选平台和过去的偏好为他们提供了多种选择。全通路绩效极为出色的组织通常会实现接近 90% 的客户参与度保留率，而全通路绩效较差的组织的客户参与度保留率通常约为 33%。在 COVID-19 期间，对基于人工智慧的聊天机器人保持知情和参与的需求直接影响了前几年的市场渗透率。

低成本聊天机器人的开发和全通路行销的使用正在促进行业扩张。与此类似，对人工智慧增强型客户支援服务的需求不断增长，对市场扩张产生了有利影响。基于人工智慧的技术的快速突破和改进也极大地促进了市场的成长。对话式人工智慧机器人的认知能力可用于在购买过程中为客户提供线上支援。

企业需要尝试确保会话聊天机器人准确理解互动的意图和语气，以提高客户满意度。这种进一步的个人化可以透过对话式人工智慧解决方案与后端资料和第三方资料库的无缝整合来实现。客户已经开始用对话式人工智慧平台取代电话、简讯和电子邮件来与朋友和家人沟通。目前，讯息传递比其他沟通方式更受青睐，尤其是年轻人。此外，讯息应用程式和传统简讯也被用来策划各种社交聚会，这正在将更实用、更安全的讯息传递程式推向全球对话式人工智慧市场。

市场概况
预测期 2024-2028
2022 年市场规模 45.7亿美元
2028 年市场规模 161.2亿美元
2023-2028 年复合年增长率 22.38%
成长最快的细分市场 自然语言处理
最大的市场 北美洲

对话式人工智慧使用文字和/或语音来实现人机互动。对话式人工智慧的解决方案可能会内建在作业系统或网站中。这些解决方案在公司的各种职能部门中变得越来越常见，特别是在客户服务方面。对话式 AI 可以使用自然语言处理 (NLP) 和机器学习 (ML) 等尖端技术来识别文字和语音输入。越来越多知名的公司和新兴公司正在使用这些技术解决方案来提高客户满意度。

人工智慧和自然语言处理技术的使用不断增加

随着人工智慧和自然语言处理技术的使用越来越频繁，企业现在能够创建智慧代理、提供服务并执行与其他众多平台整合的任务。将新功能融入对话式人工智慧服务中仍有空间，例如手势辨识。如果将手势侦测功能加入对话式人工智慧产品中，使用者将能够在不触摸或说话的情况下操作对话式智慧型装置。手势辨识将有助于使用者在存在大量噪音或干扰或使用者的口音或语气难以理解的情况下控制智慧会话装置。此外，在当前对话式人工智慧服务的市场格局中，大多数聊天机器人和虚拟助理更适合英语而不是其他语言。如果对话式人工智慧产品支援区域语言，那么它们的使用量将会在全球范围内增加。为了改善他们的产品供应，该行业的主要供应商已经沿着这条路线前进。例如，Google在 2018 年 2 月宣布 Google Assistant 活动支援七种新语言。透过此次更新，该公司现在支援 16 种不同的语言，程式设计师可以利用 Dialogflow 的 NLP 功能创建新的操作。

BFSI 产业对话式 AI 解决方案使用量的增加

为了提高客户参与度，BFSI 产业正在利用聊天机器人等对话式人工智慧技术快速发展。透过及时回答客户的询问，这些技术使银行能够提高客户保留率。 BFSI 部门采用尖端技术，使企业能够与更多客户建立联繫。企业正在使用对话式人工智慧技术为精通科技的客户提供快速服务。此外，聊天机器人可以有效地处理基本任务，例如检查银行余额、获取帐户资讯、询问贷款等，从而腾出客户支援代理的时间来处理更复杂的问题。

高安装成本阻碍全球对话式人工智慧市场成长

聊天机器人的实施通常成本高昂，因为每个聊天机器人都必须单独教授和建造以满足组织的特定需求。随着客户查询的不断变化，实施成本也会上升。然而，聊天机器人可能很难提供复杂的查询和令人愉快的用户体验。复杂的问题会使对话变得具有挑战性。这些是可能阻止全球对话式人工智慧市场在预期期间成长的一些主要障碍。

电商品牌投资增加

电子商务公司目前处于利用对话式人工智慧快速解决客户疑虑、促进销售、产生销售线索等能力的前沿。在 COVID-19 大流行期间，线上购买成为最可靠、最合适的销售管道。这因此增加了客户询问和电子商务交易。电子商务行业竞争非常激烈。因此，电子商务公司正在利用对话式人工智慧解决方案（特别是聊天机器人）提供售后支持，以保持市场竞争优势。电子商务组织可以透过多种方式从聊天机器人中受益，例如端到端售后帮助、产品推荐、参与追踪等，从而促进全球对话式人工智慧市场的扩张。

对人工智慧驱动的客户支援服务的需求不断增长

该行业成长的关键驱动力之一是对人工智慧驱动的客户支援服务的需求不断增长。多项服务已使用对话式人工智慧解决方案实现自动化，包括聊天机器人、智慧语音助理和智慧 IVR（互动式语音应答）。此外，使用支援人工智慧的对话工具可以在将数据传递给人工代理商之前获取消费者的相关资料，从而吸引消费者，从而提高工作效率并为用户提供更量身定制的体验。此外，这些工具还可以帮助客户在购买商品或服务时做出更明智的选择。随着越来越多的企业将对话式人工智慧技术整合到公司营运中，公司将从持续的客户接触、24x7 可用性、更高的参与度和更少的错误中获益。这些好处反过来又促进了全球对话式人工智慧市场的成长。

市场区隔

对话式人工智慧市场分为组件、部署、类型、技术和最终用户。根据组件，市场分为解决方案和服务。根据部署，市场分为云端和本地。根据类型，市场分为智慧虚拟助理和聊天机器人。根据技术，市场分为机器学习、深度学习、NLP 和自动语音辨识。根据最终用户，市场分为 BFSI、零售和电子商务、医​​疗保健和生命科学、电信、媒体和娱乐等。

市场参与者

全球对话式人工智慧市场的主要市场参与者包括Google LLC、Microsoft Corporation、Oracle Corporation、International Business Machines Corporation、Amazon Web Services Inc.、SAP SE、Nuance Communications, Inc.、Kore.ai, Inc.、Jio Haptik Technologies Limited , 拉莎科技公司

报告范围：

在本报告中，除了以下详细介绍的产业趋势外，全球对话式人工智慧市场还分为以下几类：

对话式人工智慧市场（按组成部分）

  • 解决方案
  • 服务
  • 对话式人工智慧市场，依部署划分
  • 云
  • 本地部署

对话式人工智慧市场，按类型：

  • 智慧虚拟助手
  • 聊天机器人

对话式人工智慧市场（按技术）：

  • 机器学习
  • 深度学习
  • 自然语言处理
  • 自动语音识别

对话式人工智慧市场，按最终用户划分：

  • BFSI
  • 零售与电子商务
  • 医疗保健与生命科学
  • 电信
  • 媒体与娱乐
  • 其他的

对话式人工智慧市场（按地区）：

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 亚太
  • 印度
  • 中国
  • 日本
  • 韩国
  • 澳洲
  • 新加坡
  • 马来西亚
  • 欧洲
  • 德国
  • 英国
  • 法国
  • 俄罗斯
  • 西班牙
  • 比利时
  • 义大利
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚
  • 秘鲁
  • 智利
  • 中东
  • 沙乌地阿拉伯
  • 南非
  • 阿联酋
  • 以色列
  • 土耳其

竞争格局

  • 公司简介：对全球对话式人工智慧市场中主要公司的详细分析。

可用的客製化：

  • 全球对话式人工智慧市场报告以及给定的市场资料，科技科学研究可根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：

公司资讯

  • 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：服务概述

第 2 章：研究方法

第 3 章：COVID-19 对全球对话式 AI 市场的影响

第 4 章：执行摘要

第 5 章：客户之声

第 6 章：全球对话式人工智慧市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件（解决方案和服务）
    • 按部署（云端和本地）
    • 按类型（智慧虚拟助理和聊天机器人）
    • 按技术（机器学习、深度学习、NLP 和自动语音辨识）
    • 按最终用户（BFSI、零售和电子商务、医​​疗保健和生命科学、电信、媒体和娱乐等）
    • 按地区
  • 按公司划分 (2022)
  • 市场地图

第 7 章：北美对话式人工智慧市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 8 章：亚太地区对话式人工智慧市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 新加坡
    • 马来西亚

第 9 章：欧洲对话式人工智慧市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 俄罗斯
    • 西班牙
    • 比利时
    • 义大利

第 10 章：南美会话式人工智慧市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 秘鲁
    • 智利

第 11 章：中东和非洲对话式人工智慧市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 南非
    • 阿联酋
    • 以色列
    • 土耳其

第 12 章：市场动态

  • 司机
  • 挑战

第 13 章：市场趋势与发展

第 14 章：公司简介

  • 谷歌有限责任公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 微软公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 甲骨文公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 国际商业机器公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 亚马逊网路服务公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • SAP系统公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 纽安斯通讯公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • Kore.ai, Inc.,
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • Jio Haptik 技术有限公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 拉莎科技公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services

第 15 章：策略建议

第 16 章：关于我们与免责声明

简介目录
Product Code: 15352

Global Conversational AI Market is anticipated to thrive in the forecast period 2024-2028. Rising demand for AI, lower chatbot development costs, AI-powered customer support services and omnichannel deployment are the major market drivers. Modern mobile and online applications are being rapidly replaced by speech-based and AI-powered messaging apps, which are anticipated to become a new form of communication. Chatbots and other digitalized platforms are used in conversational artificial intelligence to provide clients with a platform where they can solve their problems and communicate with virtual assistants. This even helps organizations expand by implementing new customer-communication strategies. Furthermore, omnichannel conversational AI offers clients a variety of options based on their preferred platform and past preferences. Organizations with extremely good all-channel performance typically experience close to 90% of customer engagement retention, whereas weak all-channel performance shows about 33%. The demand for AI-based chatbots to stay informed and engaged during COVID-19 has directly affected market penetration in previous years.

The development of low-cost chatbots and the use of omnichannel marketing are fostering industry expansion. Similar to this, the rising demand for AI-enhanced customer support services has a favorable impact on market expansion. Rapid technological breakthroughs and improvements in AI-based technologies also significantly contribute to the growth of the market. A conversational AI bot's cognitive capabilities can be used to provide online support to customers during the buying process.

Enterprises need to try and ensure that conversational chatbots accurately comprehend the intent and tone of the interaction in order to increase customer satisfaction. Such further personalization can be enabled by the conversational AI solution's seamless integration with back-end data and third-party databases. Customers are already replacing phone calls, texts, and emails with conversational AI platforms to communicate with friends and family. Currently, messaging is preferred above other means of communication, especially among younger people. Also, messaging apps and traditional texting are being used to plan a variety of social gatherings, which is pushing more practical and secure messaging programmes into the Global Conversational AI market.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 4.57 Billion
Market Size 2028USD 16.12 Billion
CAGR 2023-202822.38%
Fastest Growing SegmentNLP
Largest MarketNorth America

Using text and/or speech, conversational AI enables human-machine interaction. Solutions for conversational AI might be built into an operating system or a website. These solutions are becoming more and more common in a variety of company functions, particularly in customer care. Conversational AI can recognize text and speech inputs using cutting-edge technology like natural language processing (NLP) and machine learning (ML). Growing numbers of well-known and upcoming firms are using these technological solutions to increase client satisfaction.

Growing Use of AI and NLP Technologies

As AI and NLP technologies are used more frequently, businesses are now able to create intelligent agents, provide services, and carry out tasks that are integrated with other numerous platforms. There is still room for the incorporation of fresh features into conversational AI services, such as gesture recognition. Users will be able to operate conversational smart devices without touching or speaking if gesture detection capabilities are added to the conversational AI offering. Gesture recognition will assist users in controlling intelligent, conversational devices in situations where there is a lot of noise or disruption or if the user's accent or tone is difficult to understand. Moreover, the majority of chatbots and virtual assistants are more suited to English than other languages in the current market landscape for conversational AI services. The usage of conversational AI products would increase globally if they were to support regional languages. To improve their product offerings, major vendors in this industry are already moving in this route. For instance, Google announced the support for seven new languages in February 2018 for Google Assistant activities. With this update, the company now supports 16 different languages, and programmers can create new actions by utilizing Dialogflow's NLP features.

Enterprises are now focusing on using AI-powered chatbots to improve customer experience and engagement instead of offering customer care services via emails or SMS. NLP technology is used by AI-powered chatbots to conduct human-like interactions and provide real-time customer support. They assist businesses in gathering information about the preferences, viewpoints, and purchasing habits of their clients, enabling them to offer proactive recommendations and more individualized experiences depending on account activity. Companies can use chatbots and virtual agents powered by AI to automate repetitive and manual tasks like placing orders, checking balances, answering general questions, providing technical support, and other client services. Organizations can increase production while using less people when they use automation.

The Increase in Conversational AI Solution Usage in the BFSI Industry

To increase client engagement, the BFSI sector is growing rapidly using conversational AI technologies like chatbots. By providing timely answers to client inquiries, these technologies enable banks to enhance customer retention. The BFSI sector's adoption of cutting-edge technology has made it possible for businesses to connect with more customers. Conversational AI technologies are being used by businesses to provide speedy services to tech-savvy clients. Furthermore, a chatbot can handle basic tasks like checking bank balances, getting account information, asking about loans, etc. effectively, freeing up customer support agents' time to handle more complicated issues.

High Installation Costs to Hinder Global Conversational AI Market Growth

Chatbot implementation is often expensive because each chatbot must be individually taught and built to meet the specific needs of the organization. Cost of implementation rises as customer query keeps on changing. However, it can be difficult for chatbots to provide complex queries with an enjoyable user experience. Complex questions can make conversations challenging. These are some of the main obstacles that could prevent the Global conversational AI market from growing during the anticipated period.

Rising Investment By E-Commerce Brands

E-commerce companies are currently in the forefront of utilizing conversational AI's ability to quickly address customer concerns, boost sales, generate leads, etc. Online buying became the most dependable and appropriate sales channel during the COVID-19 pandemic. This consequently increased client inquiries and e-commerce transactions. The e-commerce industry is very competitive. Thus, e-commerce companies are providing post-sales support utilizing conversational AI solutions, particularly chatbots, to keep a competitive edge in the market. Ecommerce organizations can benefit from chatbots in a variety of ways, such as with end-to-end post-sales assistance, product recommendations, engagement tracking, and more, fostering the expansion of the Global Conversational AI market.

Demand for AI-Powered Customer Support Services is Growing

One of the key drivers of the industry's growth is the rising need for AI-powered customer support services. Several services have been automated using conversational AI solutions including chatbots, intelligent voice assistants, and intelligent IVR (interactive Voice Response). Additionally, the usage of conversational tools that are AI-enabled engages consumers by obtaining pertinent data about them before passing it on to a human agent, improving job efficiency and giving users a more tailored experience. Also, these tools help customers make wiser selections when it comes to buying goods or services. Companies would gain from constant client touch, 24x7 availability, higher engagement, and less errors as more businesses integrate conversational AI technologies into their company operations. These benefits, in turn, promote the Global Conversational AI market growth.

Market Segmentation

The Conversational AI market is segmented into Component, Deployment, Type, Technology, and End User. Based on component, the market is segmented into Solution and Service. Based on Deployment, the market is segmented into Cloud and On-Premises. Based on Type, the market is segmented into Intelligent Virtual Assistant and Chatbots. Based on Technology, the market is segmented into Machine Learning, Deep Learning, NLP, and Automated Speech Recognition. Based on End User, the market is segmented into BFSI, Retail & Ecommerce, Healthcare & Life Science, Telecom, Media & Entertainment, and Others.

Market Player

Major market players in the global Conversational AI market are Google LLC, Microsoft Corporation, Oracle Corporation, International Business Machines Corporation, Amazon Web Services Inc., SAP SE, Nuance Communications, Inc., Kore.ai, Inc., Jio Haptik Technologies Limited, Rasa Technologies Inc.

Report Scope:

In this report, the Global Conversational AI market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Conversational AI Market, By Component

  • Solution
  • Service
  • Conversational AI Market, By Deployment
  • Cloud
  • On-Premises

Conversational AI Market, By Type:

  • Intelligent Virtual Assistant
  • Chatbots

Conversational AI Market, By Technology:

  • Machine Learning
  • Deep Learning
  • NLP
  • Automated Speech Recognition

Conversational AI Market, By End User:

  • BFSI
  • Retail & Ecommerce
  • Healthcare & Life Science
  • Telecom
  • Media & Entertainment
  • Others

Conversational AI Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Asia-Pacific
  • India
  • China
  • Japan
  • South Korea
  • Australia
  • Singapore
  • Malaysia
  • Europe
  • Germany
  • United Kingdom
  • France
  • Russia
  • Spain
  • Belgium
  • Italy
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Peru
  • Chile
  • Middle East
  • Saudi Arabia
  • South Africa
  • UAE
  • Israel
  • Turkey

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the Global Conversational AI market.

Available Customizations:

  • Global Conversational AI market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

2. Research Methodology

3. Impact of COVID-19 on Global Conversational AI Market

4. Executive Summary

5. Voice of Customers

6. Global Conversational AI Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component (Solution and Service)
    • 6.2.2. By Deployment (Cloud and On-Premises)
    • 6.2.3. By Type (Intelligent Virtual Assistant and Chatbots)
    • 6.2.4. By Technology (Machine Learning, Deep Learning, NLP, and Automated Speech Recognition)
    • 6.2.5. By End User (BFSI, Retail & Ecommerce, Healthcare & Life Science, Telecom, Media & Entertainment, and Others)
    • 6.2.6. By Region
  • 6.3. By Company (2022)
  • 6.4. Market Map

7. North America Conversational AI Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment
    • 7.2.3. By Type
    • 7.2.4. By Technology
    • 7.2.5. By End User
    • 7.2.6. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Conversational AI Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Deployment
        • 7.3.1.2.3. By Type
        • 7.3.1.2.4. By Technology
        • 7.3.1.2.5. By End User
    • 7.3.2. Canada Conversational AI Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Deployment
        • 7.3.2.2.3. By Type
        • 7.3.2.2.4. By Technology
        • 7.3.2.2.5. By End User
    • 7.3.3. Mexico Conversational AI Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Deployment
        • 7.3.3.2.3. By Type
        • 7.3.3.2.4. By Technology
        • 7.3.3.2.5. By End User

8. Asia-Pacific Conversational AI Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment
    • 8.2.3. By Type
    • 8.2.4. By Technology
    • 8.2.5. By End User
    • 8.2.6. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Conversational AI Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment
        • 8.3.1.2.3. By Type
        • 8.3.1.2.4. By Technology
        • 8.3.1.2.5. By End User
    • 8.3.2. India Conversational AI Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment
        • 8.3.2.2.3. By Type
        • 8.3.2.2.4. By Technology
        • 8.3.2.2.5. By End User
    • 8.3.3. Japan Conversational AI Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment
        • 8.3.3.2.3. By Type
        • 8.3.3.2.4. By Technology
        • 8.3.3.2.5. By End User
    • 8.3.4. South Korea Conversational AI Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Deployment
        • 8.3.4.2.3. By Type
        • 8.3.4.2.4. By Technology
        • 8.3.4.2.5. By End User
    • 8.3.5. Australia Conversational AI Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Deployment
        • 8.3.5.2.3. By Type
        • 8.3.5.2.4. By Technology
        • 8.3.5.2.5. By End User
    • 8.3.6. Singapore Conversational AI Market Outlook
      • 8.3.6.1. Market Size & Forecast
        • 8.3.6.1.1. By Value
      • 8.3.6.2. Market Share & Forecast
        • 8.3.6.2.1. By Component
        • 8.3.6.2.2. By Deployment
        • 8.3.6.2.3. By Type
        • 8.3.6.2.4. By Technology
        • 8.3.6.2.5. By End User
    • 8.3.7. Malaysia Conversational AI Market Outlook
      • 8.3.7.1. Market Size & Forecast
        • 8.3.7.1.1. By Value
      • 8.3.7.2. Market Share & Forecast
        • 8.3.7.2.1. By Component
        • 8.3.7.2.2. By Deployment
        • 8.3.7.2.3. By Type
        • 8.3.7.2.4. By Technology
        • 8.3.7.2.5. By End User

9. Europe Conversational AI Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment
    • 9.2.3. By Type
    • 9.2.4. By Technology
    • 9.2.5. By End User
    • 9.2.6. By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1. Germany Conversational AI Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment
        • 9.3.1.2.3. By Type
        • 9.3.1.2.4. By Technology
        • 9.3.1.2.5. By End User
    • 9.3.2. United Kingdom Conversational AI Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment
        • 9.3.2.2.3. By Type
        • 9.3.2.2.4. By Technology
        • 9.3.2.2.5. By End User
    • 9.3.3. France Conversational AI Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment
        • 9.3.3.2.3. By Type
        • 9.3.3.2.4. By Technology
        • 9.3.3.2.5. By End User
    • 9.3.4. Russia Conversational AI Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Component
        • 9.3.4.2.2. By Deployment
        • 9.3.4.2.3. By Type
        • 9.3.4.2.4. By Technology
        • 9.3.4.2.5. By End User
    • 9.3.5. Spain Conversational AI Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Component
        • 9.3.5.2.2. By Deployment
        • 9.3.5.2.3. By Type
        • 9.3.5.2.4. By Technology
        • 9.3.5.2.5. By End User
    • 9.3.6. Belgium Conversational AI Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Component
        • 9.3.6.2.2. By Deployment
        • 9.3.6.2.3. By Type
        • 9.3.6.2.4. By Technology
        • 9.3.6.2.5. By End User
    • 9.3.7. Italy Conversational AI Market Outlook
      • 9.3.7.1. Market Size & Forecast
        • 9.3.7.1.1. By Value
      • 9.3.7.2. Market Share & Forecast
        • 9.3.7.2.1. By Component
        • 9.3.7.2.2. By Deployment
        • 9.3.7.2.3. By Type
        • 9.3.7.2.4. By Technology
        • 9.3.7.2.5. By End User

10. South America Conversational AI Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment
    • 10.2.3. By Type
    • 10.2.4. By Technology
    • 10.2.5. By End User
    • 10.2.6. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Conversational AI Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment
        • 10.3.1.2.3. By Type
        • 10.3.1.2.4. By Technology
        • 10.3.1.2.5. By End User
    • 10.3.2. Argentina Conversational AI Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment
        • 10.3.2.2.3. By Type
        • 10.3.2.2.4. By Technology
        • 10.3.2.2.5. By End User
    • 10.3.3. Colombia Conversational AI Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment
        • 10.3.3.2.3. By Type
        • 10.3.3.2.4. By Technology
        • 10.3.3.2.5. By End User
    • 10.3.4. Peru Conversational AI Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Component
        • 10.3.4.2.2. By Deployment
        • 10.3.4.2.3. By Type
        • 10.3.4.2.4. By Technology
        • 10.3.4.2.5. By End User
    • 10.3.5. Chile Conversational AI Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Component
        • 10.3.5.2.2. By Deployment
        • 10.3.5.2.3. By Type
        • 10.3.5.2.4. By Technology
        • 10.3.5.2.5. By End User

11. Middle East & Africa Conversational AI Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Deployment
    • 11.2.3. By Type
    • 11.2.4. By Technology
    • 11.2.5. By End User
    • 11.2.6. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Conversational AI Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Deployment
        • 11.3.1.2.3. By Type
        • 11.3.1.2.4. By Technology
        • 11.3.1.2.5. By End User
    • 11.3.2. South Africa Conversational AI Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Deployment
        • 11.3.2.2.3. By Type
        • 11.3.2.2.4. By Technology
        • 11.3.2.2.5. By End User
    • 11.3.3. UAE Conversational AI Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Deployment
        • 11.3.3.2.3. By Type
        • 11.3.3.2.4. By Technology
        • 11.3.3.2.5. By End User
    • 11.3.4. Israel Conversational AI Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Component
        • 11.3.4.2.2. By Deployment
        • 11.3.4.2.3. By Type
        • 11.3.4.2.4. By Technology
        • 11.3.4.2.5. By End User
    • 11.3.5. Turkey Conversational AI Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Component
        • 11.3.5.2.2. By Deployment
        • 11.3.5.2.3. By Type
        • 11.3.5.2.4. By Technology
        • 11.3.5.2.5. By End User

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends & Developments

14. Company Profiles

  • 14.1. Google LLC
    • 14.1.1. Business Overview
    • 14.1.2. Key Revenue and Financials (If Available)
    • 14.1.3. Recent Developments
    • 14.1.4. Key Personnel
    • 14.1.5. Key Product/Services
  • 14.2. Microsoft Corporation
    • 14.2.1. Business Overview
    • 14.2.2. Key Revenue and Financials (If Available)
    • 14.2.3. Recent Developments
    • 14.2.4. Key Personnel
    • 14.2.5. Key Product/Services
  • 14.3. Oracle Corporation
    • 14.3.1. Business Overview
    • 14.3.2. Key Revenue and Financials (If Available)
    • 14.3.3. Recent Developments
    • 14.3.4. Key Personnel
    • 14.3.5. Key Product/Services
  • 14.4. International Business Machines Corporation
    • 14.4.1. Business Overview
    • 14.4.2. Key Revenue and Financials (If Available)
    • 14.4.3. Recent Developments
    • 14.4.4. Key Personnel
    • 14.4.5. Key Product/Services
  • 14.5. Amazon Web Services Inc
    • 14.5.1. Business Overview
    • 14.5.2. Key Revenue and Financials (If Available)
    • 14.5.3. Recent Developments
    • 14.5.4. Key Personnel
    • 14.5.5. Key Product/Services
  • 14.6. SAP SE
    • 14.6.1. Business Overview
    • 14.6.2. Key Revenue and Financials (If Available)
    • 14.6.3. Recent Developments
    • 14.6.4. Key Personnel
    • 14.6.5. Key Product/Services
  • 14.7. Nuance Communications Inc
    • 14.7.1. Business Overview
    • 14.7.2. Key Revenue and Financials (If Available)
    • 14.7.3. Recent Developments
    • 14.7.4. Key Personnel
    • 14.7.5. Key Product/Services
  • 14.8. Kore.ai, Inc.,
    • 14.8.1. Business Overview
    • 14.8.2. Key Revenue and Financials (If Available)
    • 14.8.3. Recent Developments
    • 14.8.4. Key Personnel
    • 14.8.5. Key Product/Services
  • 14.9. Jio Haptik Technologies Limited
    • 14.9.1. Business Overview
    • 14.9.2. Key Revenue and Financials (If Available)
    • 14.9.3. Recent Developments
    • 14.9.4. Key Personnel
    • 14.9.5. Key Product/Services
  • 14.10. Rasa Technologies Inc.
    • 14.10.1. Business Overview
    • 14.10.2. Key Revenue and Financials (If Available)
    • 14.10.3. Recent Developments
    • 14.10.4. Key Personnel
    • 14.10.5. Key Product/Services

15. Strategic Recommendations

16. About Us & Disclaimer