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市場調查報告書
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1604513

對話式人工智慧市場：未來預測（2024-2029）

Conversational AI Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

對話式人工智慧市場預計在預測期內複合年成長率為 26.10%。

由於對聊天機器人的需求不斷增加、開發成本降低、使用人工智慧技術提供客戶支援服務以及跨多個管道部署的能力，該市場的成長進一步加速。基於人工智慧技術的語音和訊息應用程式正在迅速取代現有的網路和行動應用程式，因此有望成為一種替代的互動媒介。越來越多的混合對話模型結合了判別技術和生成技術。這些模型在完成自然語言處理、語言翻譯甚至圖像分類等特定任務方面也可以更加有效和高效。

此外，我們正在進行多項努力，以確保這些技術在解決相關業務使用案例的效率和有效性。由於人工智慧現在可以像人類一樣輕鬆地回應查詢，因此對生成式人工智慧公司的需求正在增加。雖然這很有用，但它也有可能透過實現更客製化和人性化的人際對話來徹底改變人們與科技的關係。正如世界各地的政府機構正在有效地採用現代技術來提高公民參與一樣，公共部門也在尋求適應對話式人工智慧平台。

對話式人工智慧市場促進因素

  • 對客戶支援服務的需求不斷成長推動對話式人工智慧市場的成長

隨著科技的發展，越來越多的公司開始採用先進的對話式人工智慧來更好地服務客戶。如今，企業不再修復電子郵件或發送有關客戶關係的短信，而是在其系統中使用數位機器人來改善客戶體驗。客戶期望智慧聊天機器人透過語音辨識與他們互動，進行深思熟慮的對話，並在推廣他們的服務時表現出理解。

他們利用這些資訊幫助企業了解客戶的關注點、願望和購買習慣，使他們能夠提供主動且更個人化的服務。例如，企業內部啟用基於人工智慧的聊天機器人，以減少常見訂購、餘額檢查、回應一般查詢、技術援助和其他客戶支援業務所需的體力勞動。因此，公司能夠透過自動化提高生產力水平，但勞動力就業減少，從而促進行業成長。

對話式人工智慧市場的地域展望

  • 亞太地區將在預測期內實現指數級成長

由於各種因素，預計亞太地區將在對話式人工智慧市場中佔據很大佔有率。這些因素包括大量人口、不斷成長的智慧型手機普及率以及整個行業的數位化，這些因素正在推動對話式人工智慧在韓國、中國、日本和印度等國家的採用。

此外，中國領先的 IT 公司正在大力投資對話式人工智慧，其中聊天機器人和語音助理正在取得重大進展。該地區也為銀行、醫療保健和電子商務等行業的對話式人工智慧應用提供了前景。亞太地區有潛力透過最先進的客戶援助管理和進步協會資訊開發取得重大進展。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業明智以及其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料與預測（2022-2029）
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 收益成長率與預測分析：按細分市場/地區（按國家）
  • 公司概況（策略、產品、財務資訊、主要趨勢等）

對話式人工智慧市場分為以下幾個部分：

按成分

  • 解決方案
  • 託管服務
  • 專業服務
  • 培訓/諮詢
  • 系統整合/實施
  • 支援/維護

依部署方式

  • 本地
  • 雲

按類型

  • 聊天機器人
  • 智慧虛擬助理（IVA）

依技術

  • 自然語言處理（NLP）
  • 機器學習 (ML)/深度學習 (DL)
  • 自動語音辨識(ASR)

按最終用戶

  • BFSI
  • 媒體娛樂
  • 零售業
  • 資訊科技/通訊
  • 醫療保健
  • 車
  • 旅遊/旅遊
  • 食品/飲料
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 西班牙
  • 其他中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 其他
  • 亞太地區
  • 日本
  • 中國
  • 印度
  • 韓國
  • 印尼
  • 泰國
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 分析範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章 分析方法

  • 分析設計
  • 分析過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章對話式人工智慧市場：按組成部分

  • 介紹
  • 解決方案
  • 託管服務
  • 專業服務
    • 培訓/諮詢
    • 系統整合/實施
    • 支援/維護

第6章對話式人工智慧市場：依部署方式

  • 介紹
  • 雲
  • 本地

第7章對話式人工智慧市場：按類型

  • 介紹
  • 聊天機器人
  • 智慧虛擬助理（IVA）

第8章對話式人工智慧市場：依技術分類

  • 介紹
  • 自然語言處理（NLP）
  • 機器學習 (ML)/深度學習 (DL)
  • 自動語音辨識(ASR)

第 9 章 對話式人工智慧市場：按最終用戶分類

  • 介紹
  • BFSI
  • 媒體娛樂
  • 零售業
  • 資訊科技/通訊
  • 醫療保健
  • 車
  • 旅遊/旅遊
  • 食品/飲料
  • 其他

第10章對話式人工智慧市場：按地區

  • 介紹
  • 北美洲
    • 按成分
    • 依部署方式
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按成分
    • 依部署方式
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按成分
    • 依部署方式
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按成分
    • 依部署方式
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按成分
    • 依部署方式
    • 按類型
    • 依技術
    • 按最終用戶
    • 按國家/地區

第11章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 企業合併(M&A)、協議與合作
  • 競爭對手儀表板

第12章 公司簡介

  • Google
  • Microsoft
  • Amazon Web Services, Inc.
  • IBM
  • Oracle
  • Nuance Communications, Inc.
  • FIS
  • SAP SE
  • Kore.ai, Inc
簡介目錄
Product Code: KSI061616111

The conversational AI market is estimated to grow at a CAGR of 26.10% during the forecast period.

Due to the increasing need for chatbots, the declining cost of developing them, the availability of customer support services that use AI technology, and the ability to deploy them across multiple channels, among other reasons, this market's growth is being further accelerated. Speech and messaging applications based on AI technology are replacing existing web and mobile applications at a rapid rate, hence the assumption that they will be an alternate medium of interaction. An increasing number of hybrid conversational models that embrace both discriminative and generative methods are being advanced. These models might also be more effective and efficient in accomplishing certain tasks such as natural language processing, translating languages, and even classifying images.

Moreover, several initiatives are underway to ensure the efficiency and effectiveness of these technologies in addressing related business use cases. The demand for generative AI companies has grown as AIs have been able to casually respond to queries like a person would. While this is useful, it can also completely change people's relationship with technology by enabling more customized and human-sounding interpersonal conversations. The public sector is also looking to adapt to conversational AI platforms as government agencies worldwide are embracing contemporary technology effectively to enhance citizens' engagement.

Conversational AI market drivers

  • The increasing need for customer support services is fueling the conversational AI market growth

As the tech kept developing, more companies started employing sophisticated conversational AI to enhance service to their customers. Nowadays, businesses have adopted the use of digital bots within their systems to enhance customer experience instead of fixing an email or sending an SMS regarding customer relations. Customers expect intelligent chatbots, which reach out to them with speech recognition features, to engage in sultry conversation and show understanding while selling their services.

They use this information to help the company know customers' concerns, wants, and buying habits to provide foresight and more individualized services. For instance, AI-based chatbots are enabled within the business to reduce the manual efforts needed for typical placing an order, checking balances, responding to general inquiries, technical assistance, and other customer support operations. As a result, a company can enhance its productivity level thanks to automation but with fewer workforce hires, pushing the industry's growth.

Conversational AI market geographical outlook

  • Asia Pacific is witnessing exponential growth during the forecast period

The Asia Pacific region is expected to hold a significant share of the conversational AI market due to various factors. These factors include a large population, expanding smartphone penetration, and more digitalization across industries, promoting conversational AI adoption in countries such as South Korea, China, Japan, and India.

Additionally, large IT companies in China are significantly investing in conversational AI, and the sector is seeing tremendous advancements in chatbots and voice assistants. The region also offers prospects for conversational AI applications in industries including banking, healthcare, and e-commerce. The Asia Pacific might have critical development because of associations' developing information on state-of-the-art client assistance administrations and advances.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Conversational AI market is analyzed into the following segments:

By Component

  • Solutions
  • Managed Services
  • Professional Services
  • Training & Consulting
  • System Integration & Implementation
  • Support & Maintenance

By Deployment

  • On-premises
  • Cloud

By Type

  • Chatbots
  • Intelligent Virtual Assistant (IVA)

By Technology

  • Natural Language Processing (NLP)
  • ML and Deep Learning
  • Automatic Speech Recognition (ASR)

By End-user

  • BFSI
  • Media & Entertainment
  • Retail
  • IT & Telecommunication
  • Healthcare
  • Automotive
  • Travel and Tourism
  • Food & Beverages
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. CONVERSATIONAL AI MARKET BY COMPONENT

  • 5.1. Introduction
  • 5.2. Solutions
  • 5.3. Managed Services
  • 5.4. Professional Services
    • 5.4.1. Training & Consulting
    • 5.4.2. System Integration & Implementation
    • 5.4.3. Support & Maintenance

6. CONVERSATIONAL AI MARKET BY DEPLOYMENT

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

7. CONVERSATIONAL AI MARKET BY TYPE

  • 7.1. Introduction
  • 7.2. Chatbots
  • 7.3. Intelligent Virtual Assistant (IVA)

8. CONVERSATIONAL AI MARKET BY TECHNOLOGY

  • 8.1. Introduction
  • 8.2. Natural Language Processing (NLP)
  • 8.3. ML and Deep Learning
  • 8.4. Automatic Speech Recognition (ASR)

9. CONVERSATIONAL AI MARKET BY END-USER

  • 9.1. Introduction
  • 9.2. BFSI
  • 9.3. Media & Entertainment
  • 9.4. Retail
  • 9.5. IT & Telecommunication
  • 9.6. Healthcare
  • 9.7. Automotive
  • 9.8. Travel and Tourism
  • 9.9. Food & Beverages
  • 9.10. Others

10. CONVERSATIONAL AI MARKET BY GEOGRAPHY

  • 10.1. Introduction
  • 10.2. North America
    • 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
      • 10.2.6.1. United States
      • 10.2.6.2. Canada
      • 10.2.6.3. Mexico
  • 10.3. South America
    • 10.3.1. By Component
    • 10.3.2. By Deployment
    • 10.3.3. By Type
    • 10.3.4. By Technology
    • 10.3.5. By End-User
    • 10.3.6. By Country
      • 10.3.6.1. Brazil
      • 10.3.6.2. Argentina
      • 10.3.6.3. Others
  • 10.4. Europe
    • 10.4.1. By Component
    • 10.4.2. By Deployment
    • 10.4.3. By Type
    • 10.4.4. By Technology
    • 10.4.5. By End-User
    • 10.4.6. By Country
      • 10.4.6.1. United Kingdom
      • 10.4.6.2. Germany
      • 10.4.6.3. France
      • 10.4.6.4. Spain
      • 10.4.6.5. Others
  • 10.5. Middle East and Africa
    • 10.5.1. By Component
    • 10.5.2. By Deployment
    • 10.5.3. By Type
    • 10.5.4. By Technology
    • 10.5.5. By End-User
    • 10.5.6. By Country
      • 10.5.6.1. Saudi Arabia
      • 10.5.6.2. UAE
      • 10.5.6.3. Others
  • 10.6. Asia Pacific
    • 10.6.1. By Component
    • 10.6.2. By Deployment
    • 10.6.3. By Type
    • 10.6.4. By Technology
    • 10.6.5. By End-User
    • 10.6.6. By Country
      • 10.6.6.1. Japan
      • 10.6.6.2. China
      • 10.6.6.3. India
      • 10.6.6.4. South Korea
      • 10.6.6.5. Indonesia
      • 10.6.6.6. Thailand
      • 10.6.6.7. Others

11. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 11.1. Major Players and Strategy Analysis
  • 11.2. Market Share Analysis
  • 11.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 11.4. Competitive Dashboard

12. COMPANY PROFILES

  • 12.1. Google
  • 12.2. Microsoft
  • 12.3. Amazon Web Services, Inc.
  • 12.4. IBM
  • 12.5. Oracle
  • 12.6. Nuance Communications, Inc.
  • 12.7. FIS
  • 12.8. SAP SE
  • 12.9. Kore.ai, Inc