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市场调查报告书
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1604513

对话式人工智慧市场：未来预测（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个工作天内

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简介目录

对话式人工智慧市场预计在预测期内复合年增长率为 26.10%。

由于对聊天机器人的需求不断增加、开发成本降低、使用人工智慧技术提供客户支援服务以及跨多个管道部署的能力，该市场的成长进一步加速。基于人工智慧技术的语音和讯息应用程式正在迅速取代现有的网路和行动应用程序，因此有望成为一种替代的互动媒介。越来越多的混合对话模型结合了判别技术和生成技术。这些模型在完成自然语言处理、语言翻译甚至图像分类等特定任务方面也可以更加有效和高效。

此外，我们正在进行多项努力，以确保这些技术在解决相关业务使用案例的效率和有效性。由于人工智慧现在可以像人类一样轻鬆地回应查询，因此对生成式人工智慧公司的需求正在增加。虽然这很有用，但它也有可能透过实现更客製化和人性化的人际对话来彻底改变人们与科技的关係。正如世界各地的政府机构正在有效地采用现代技术来提高公民参与一样，公共部门也在寻求适应对话式人工智慧平台。

对话式人工智慧市场驱动因素

  • 对客户支援服务的需求不断增长推动对话式人工智慧市场的成长

随着科技的发展，越来越多的公司开始采用先进的对话式人工智慧来更好地服务客户。如今，企业不再修復电子邮件或发送有关客户关係的短信，而是在其係统中使用数位机器人来改善客户体验。客户期望智慧聊天机器人透过语音辨识与他们互动，进行深思熟虑的对话，并在推广他们的服务时表现出理解。

他们利用这些资讯帮助企业了解客户的关注点、愿望和购买习惯，使他们能够提供主动且更个人化的服务。例如，企业内部启用基于人工智慧的聊天机器人，以减少常见订购、余额检查、回应一般查询、技术援助和其他客户支援业务所需的体力劳动。因此，公司能够透过自动化提高生产力水平，但劳动力就业减少，从而促进行业成长。

对话式人工智慧市场的地域展望

  • 亚太地区将在预测期内实现指数级增长

由于各种因素，预计亚太地区将在对话式人工智慧市场中占据很大份额。这些因素包括大量人口、不断增长的智慧型手机普及率以及整个行业的数位化，这些因素正在推动对话式人工智慧在韩国、中国、日本和印度等国家的采用。

此外，中国领先的 IT 公司正在大力投资对话式人工智慧，其中聊天机器人和语音助理正在取得重大进展。该地区也为银行、医疗保健和电子商务等行业的对话式人工智慧应用提供了前景。亚太地区有潜力透过最先进的客户援助管理和进步协会资讯开发取得重大进展。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业明智以及其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、商机评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

分析范围

  • 历史资料与预测（2022-2029）
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 收益成长率与预测分析：按细分市场/地区（按国家）
  • 公司概况（策略、产品、财务资讯、主要趋势等）

对话式人工智慧市场分为以下几个部分：

按成分

  • 解决方案
  • 託管服务
  • 专业服务
  • 培训/咨询
  • 系统整合/实施
  • 支援/维护

依部署方式

  • 本地
  • 云

按类型

  • 聊天机器人
  • 智慧虚拟助理（IVA）

依技术

  • 自然语言处理（NLP）
  • 机器学习 (ML)/深度学习 (DL)
  • 自动语音辨识(ASR)

按最终用户

  • BFSI
  • 媒体娱乐
  • 零售业
  • 资讯科技/通讯
  • 医疗保健
  • 车
  • 旅游/旅游
  • 食品/饮料
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 印尼
  • 泰国
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 分析范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章 分析方法

  • 分析设计
  • 分析过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章对话式人工智慧市场：按组成部分

  • 介绍
  • 解决方案
  • 託管服务
  • 专业服务
    • 培训/咨询
    • 系统整合/实施
    • 支援/维护

第六章对话式人工智慧市场：依部署方式

  • 介绍
  • 云
  • 本地

第七章对话式人工智慧市场：按类型

  • 介绍
  • 聊天机器人
  • 智慧虚拟助理（IVA）

第八章对话式人工智慧市场：依技术分类

  • 介绍
  • 自然语言处理（NLP）
  • 机器学习 (ML)/深度学习 (DL)
  • 自动语音辨识(ASR)

第 9 章 对话式人工智慧市场：按最终用户划分

  • 介绍
  • BFSI
  • 媒体娱乐
  • 零售业
  • 资讯科技/通讯
  • 医疗保健
  • 车
  • 旅游/旅游
  • 食品/饮料
  • 其他的

第10章对话式人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 按成分
    • 依部署方式
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按成分
    • 依部署方式
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按成分
    • 依部署方式
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按成分
    • 依部署方式
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按成分
    • 依部署方式
    • 按类型
    • 依技术
    • 按最终用户
    • 按国家/地区

第十一章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 企业合併(M&A)、协议与合作
  • 竞争对手仪表板

第十二章 公司简介

  • Google
  • Microsoft
  • Amazon Web Services, Inc.
  • IBM
  • Oracle
  • Nuance Communications, Inc.
  • FIS
  • SAP SE
  • Kore.ai, Inc
简介目录
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