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市場調查報告書
商品編碼
1370765

對話式人工智慧市場 - 全球產業規模、佔有率、趨勢、機會和預測。 2018-2028F 按組件、部署、類型、技術、最終用戶、地區、競爭細分

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個工作天內

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簡介目錄

預計全球對話式人工智慧市場將在 2024 年至 2028 年預測期內蓬勃發展。對人工智慧的需求不斷成長、聊天機器人開發成本降低、人工智慧驅動的客戶支援服務和全通路部署是主要的市場驅動力。現代行動和線上應用程式正在迅速被基於語音和人工智慧的訊息應用程式所取代，預計這些應用程式將成為一種新的通訊形式。聊天機器人和其他數位化平台用於對話式人工智慧，為客戶提供一個可以解決問題並與虛擬助理進行交流的平台。這甚至可以幫助組織透過實施新的客戶溝通策略來擴展業務。此外，全通路對話人工智慧根據客戶的首選平台和過去的偏好為他們提供了多種選擇。全通路績效極為出色的組織通常會實現接近 90% 的客戶參與度保留率，而全通路績效較差的組織的客戶參與度保留率通常約為 33%。在 COVID-19 期間，對基於人工智慧的聊天機器人保持知情和參與的需求直接影響了前幾年的市場滲透率。

低成本聊天機器人的開發和全通路行銷的使用正在促進行業擴張。與此類似，對人工智慧增強型客戶支援服務的需求不斷成長，對市場擴張產生了有利影響。基於人工智慧的技術的快速突破和改進也極大地促進了市場的成長。對話式人工智慧機器人的認知能力可用於在購買過程中為客戶提供線上支援。

企業需要嘗試確保會話聊天機器人準確理解互動的意圖和語氣，以提高客戶滿意度。這種進一步的個人化可以透過對話式人工智慧解決方案與後端資料和第三方資料庫的無縫整合來實現。客戶已經開始用對話式人工智慧平台取代電話、簡訊和電子郵件來與朋友和家人溝通。目前，訊息傳遞比其他溝通方式更受青睞，尤其是年輕人。此外，訊息應用程式和傳統簡訊也被用來策劃各種社交聚會，這正在將更實用、更安全的訊息傳遞程式推向全球對話式人工智慧市場。

市場概況
預測期 2024-2028
2022 年市場規模 45.7億美元
2028 年市場規模 161.2億美元
2023-2028 年年複合成長率 22.38%
成長最快的細分市場 自然語言處理
最大的市場 北美洲

對話式人工智慧使用文字和/或語音來實現人機互動。對話式人工智慧的解決方案可能會內建在作業系統或網站中。這些解決方案在公司的各種職能部門中變得越來越常見，特別是在客戶服務方面。對話式 AI 可以使用自然語言處理 (NLP) 和機器學習 (ML) 等尖端技術來識別文字和語音輸入。越來越多知名的公司和新興公司正在使用這些技術解決方案來提高客戶滿意度。

人工智慧和自然語言處理技術的使用不斷增加

隨著人工智慧和自然語言處理技術的使用越來越頻繁，企業現在能夠創建智慧代理、提供服務並執行與其他眾多平台整合的任務。將新功能融入對話式人工智慧服務中仍有空間，例如手勢辨識。如果將手勢偵測功能加入對話式人工智慧產品中，使用者將能夠在不觸摸或說話的情況下操作對話式智慧型裝置。手勢辨識將有助於使用者在存在大量噪音或乾擾或使用者的口音或語氣難以理解的情況下控制智慧會話裝置。此外，在當前對話式人工智慧服務的市場格局中，大多數聊天機器人和虛擬助理更適合英語而不是其他語言。如果對話式人工智慧產品支援區域語言，那麼它們的使用量將會在全球範圍內增加。為了改善他們的產品供應，該行業的主要供應商已經沿著這條路線前進。例如，Google在 2018 年 2 月宣布 Google Assistant 活動支援七種新語言。透過此次更新，該公司現在支援 16 種不同的語言，程式設計師可以利用 Dialogflow 的 NLP 功能創建新的操作。

BFSI 產業對話式 AI 解決方案使用量的增加

為了提高客戶參與度，BFSI 產業正在利用聊天機器人等對話式人工智慧技術快速發展。透過及時回答客戶的詢問，這些技術使銀行能夠提高客戶保留率。 BFSI 部門採用尖端技術，使企業能夠與更多客戶建立聯繫。企業正在使用對話式人工智慧技術為精通科技的客戶提供快速服務。此外，聊天機器人可以有效地處理基本任務，例如檢查銀行餘額、獲取帳戶資訊、詢問貸款等，從而騰出客戶支援代理的時間來處理更複雜的問題。

高安裝成本阻礙全球對話式人工智慧市場成長

聊天機器人的實施通常成本高昂，因為每個聊天機器人都必須單獨教授和建造以滿足組織的特定需求。隨著客戶查詢的不斷變化，實施成本也會上升。然而，聊天機器人可能很難提供複雜的查詢和令人愉快的用戶體驗。複雜的問題會使對話變得具有挑戰性。這些是可能阻止全球對話式人工智慧市場在預期期間成長的一些主要障礙。

電商品牌投資增加

電子商務公司目前處於利用對話式人工智慧快速解決客戶疑慮、促進銷售、產生銷售線索等能力的前沿。在 COVID-19 大流行期間，線上購買成為最可靠、最合適的銷售管道。這因此增加了客戶詢問和電子商務交易。電子商務行業競爭非常激烈。因此，電子商務公司正在利用對話式人工智慧解決方案（特別是聊天機器人）提供售後支持，以保持市場競爭優勢。電子商務組織可以透過多種方式從聊天機器人中受益，例如端到端售後幫助、產品推薦、參與追蹤等，從而促進全球對話式人工智慧市場的擴張。

對人工智慧驅動的客戶支援服務的需求不斷成長

該行業成長的關鍵驅動力之一是對人工智慧驅動的客戶支援服務的需求不斷成長。多項服務已使用對話式人工智慧解決方案實現自動化，包括聊天機器人、智慧語音助理和智慧 IVR（互動式語音應答）。此外，使用支援人工智慧的對話工具可以在將數據傳遞給人工代理商之前獲取消費者的相關資料，從而吸引消費者，從而提高工作效率並為用戶提供更量身定做的體驗。此外，這些工具還可以幫助客戶在購買商品或服務時做出更明智的選擇。隨著越來越多的企業將對話式人工智慧技術整合到公司營運中，公司將從持續的客戶接觸、24x7 可用性、更高的參與度和更少的錯誤中獲益。這些好處反過來又促進了全球對話式人工智慧市場的成長。

市場區隔

對話式人工智慧市場分為組件、部署、類型、技術和最終用戶。根據組件，市場分為解決方案和服務。根據部署，市場分為雲端和本地。根據類型，市場分為智慧虛擬助理和聊天機器人。根據技術，市場分為機器學習、深度學習、NLP 和自動語音辨識。根據最終用戶，市場分為 BFSI、零售和電子商務、醫​​療保健和生命科學、電信、媒體和娛樂等。

市場參與者

全球對話式人工智慧市場的主要市場參與者包括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

報告範圍：

在本報告中，除了以下詳細介紹的產業趨勢外，全球對話式人工智慧市場還分為以下幾類：

對話式人工智慧市場（按組成部分）

  • 解決方案
  • 服務
  • 對話式人工智慧市場，依部署分類
  • 雲
  • 本地部署

對話式人工智慧市場，按類型：

  • 智慧虛擬助手
  • 聊天機器人

對話式人工智慧市場（按技術）：

  • 機器學習
  • 深度學習
  • 自然語言處理
  • 自動語音識別

對話式人工智慧市場，按最終用戶分類：

  • BFSI
  • 零售與電子商務
  • 醫療保健與生命科學
  • 電信
  • 媒體與娛樂
  • 其他

對話式人工智慧市場（按地區）：

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 亞太
  • 印度
  • 中國
  • 日本
  • 韓國
  • 澳洲
  • 新加坡
  • 馬來西亞
  • 歐洲
  • 德國
  • 英國
  • 法國
  • 俄羅斯
  • 西班牙
  • 比利時
  • 義大利
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
  • 秘魯
  • 智利
  • 中東
  • 沙烏地阿拉伯
  • 南非
  • 阿拉伯聯合大公國
  • 以色列
  • 土耳其

競爭格局

  • 公司簡介：對全球對話式人工智慧市場中主要公司的詳細分析。

可用的客製化：

  • 全球對話式人工智慧市場報告以及給定的市場資料，科技科學研究可根據公司的具體需求提供客製化服務。該報告可以使用以下自訂選項：

公司資訊

  • 其他市場參與者（最多五個）的詳細分析和概況分析。

目錄

第 1 章：服務概述

第 2 章：研究方法

第 3 章：COVID-19 對全球對話式 AI 市場的影響

第 4 章：執行摘要

第 5 章：客戶之聲

第 6 章：全球對話式人工智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（解決方案和服務）
    • 按部署（雲端和本地）
    • 按類型（智慧虛擬助理和聊天機器人）
    • 按技術（機器學習、深度學習、NLP 和自動語音辨識）
    • 按最終用戶（BFSI、零售和電子商務、醫​​療保健和生命科學、電信、媒體和娛樂等）
    • 按地區
  • 按公司分類 (2022)
  • 市場地圖

第 7 章：北美對話式人工智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 8 章：亞太地區對話式人工智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 新加坡
    • 馬來西亞

第 9 章：歐洲對話式人工智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 英國
    • 法國
    • 俄羅斯
    • 西班牙
    • 比利時
    • 義大利

第 10 章：南美會話式人工智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 秘魯
    • 智利

第 11 章：中東和非洲對話式人工智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 南非
    • 阿拉伯聯合大公國
    • 以色列
    • 土耳其

第 12 章：市場動態

  • 促進要素
  • 挑戰

第 13 章：市場趨勢與發展

第 14 章：公司簡介

  • 谷歌有限責任公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 微軟公司
    • 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
  • 國際商業機器公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 亞馬遜網路服務公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • SAP系統公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 紐安斯通訊公司
    • 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 技術有限公司
    • 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：策略建議

第 16 章：關於我們與免責聲明

簡介目錄
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