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市场调查报告书
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1577194

到 2030 年互动式AI 市场预测：按产品、部署模式、对话式介面、使用案例、技术、最终用户和地区进行的全球分析

Conversational AI Market Forecasts to 2030 - Global Analysis By Offering, Deployment Mode, Conversational Interface (Chatbots, Intelligent Virtual Assistants and Interactive Voice Response Systems), Use Case, 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个工作天内

价格

根据 Stratistics MRC 的数据，2024 年全球互动式人工智慧市场规模将达到 116 亿美元，预计到 2030 年将达到 422 亿美元，预测期内复合年增长率为 23.9%。

模仿人类语音和文字互动的人工智慧 (AI) 被称为互动式AI。使用机器学习、语音辨识和自然语言处理 (NLP) 来理解用户查询并提供富有洞察力的答案。虚拟助理、聊天机器人和互动式语音应答系统是各行业中经常使用的应用程序，用于增强用户体验、加快沟通速度并改善客户支援。互动式人工智慧试图透过模仿人类语音，使用户和系统之间的互动变得流畅有趣。

据 Gartner 称，到 2024 年，互动式AI 工具预计将使客服中心的投资增加 24%。

对人工智慧主导的客户支援的需求不断增长

越来越多的公司正在转向互动式人工智慧解决方案来自动化客户交互，提高业务效率并降低成本。 AI 驱动的聊天机器人和虚拟助理可以 24/7 处理大量客户询问，提供即时回应和个人化体验。这种趋势在零售、银行和电子商务等客户服务至关重要的行业尤其明显。互动式人工智慧在保持品质的同时扩大支援业务的能力正在推动其采用。

有限的语言和区域功能

目前，大多数互动式人工智慧产品提供的语言支援有限，且对英语的兼容性较高。这种限制阻碍了对话式人工智慧解决方案的全球采用，特别是在英语不是主要语言的地区。开发能够理解并准确地回应不同语言、方言和文化差异的人工智慧模型面临着巨大的挑战。这种限制可能会减缓非英语国家的市场成长，并限制互动式人工智慧在全球不同市场的有效性。

利用全通路沟通

跨多个管道（包括网站、行动应用程式、社交媒体平台和声控设备）整合互动式人工智慧，可改善整体客户体验。这种方法使企业能够在不同的接触点与客户保持一致的、情境相关的互动。全通路部署可实现无缝的客户旅程，提高参与度，并提供有关客户行为的宝贵见解。随着企业努力在所有管道上提供一致的体验，对支援全通路策略的多功能对话式人工智慧解决方案的需求预计将显着增长。

资料隐私

资料隐私问题对互动式人工智慧市场构成了重大威胁。互动式人工智慧系统收集和处理大量资料，引发了人们对资料安全、侵犯隐私以及遵守资料保护条例的担忧。如果使用者认为自己的个人资讯面临风险，他们可能会犹豫是否要使用人工智慧驱动的系统。此外，欧洲的 GDPR 和加州的 CCPA 等严格的资料保护法要求公司实施强而有力的资料保护措施。如果无法充分解决这些问题，可能会降低用户的信任度和采用率，从而阻碍市场成长。

COVID-19 的影响：

COVID-19 的爆发对互动式AI 市场产生了积极影响。随着企业转向远端操作和数位互动，对人工智慧驱动的客户支援和参与解决方案的需求激增。互动式人工智慧技术已被迅速采用，以回应不断增加的客户询问、自动化流程并保持业务永续营运。此次疫情加速了数位转型，并导致对人工智慧技术（包括互动式人工智慧）的投资增加，以提升客户体验和业务效率。

预计软体细分市场在预测期内将成为最大的细分市场

预计软体部门将在预测期内获得最大的市场占有率。这项优势归功于互动式人工智慧平台在各行业的日益普及。自然语言处理（NLP）引擎、机器学习演算法、对话管理系统等软体解决方案构成了对话式AI能力的核心。这些软体元件使企业能够创建、部署和管理智慧虚拟助理和聊天机器人。随着组织寻求增强客户互动和自动化流程，人工智慧软体技术的灵活性、扩充性和持续改进有助于其不断增长的市场占有率。

云端基础的细分市场预计在预测期内复合年增长率最高

在互动式人工智慧市场中，云端基础的细分市场预计在预测期内将呈现最高的复合年增长率。这种快速成长是由云端基础的解决方案提供的众多优势推动的，包括可扩展性、成本效益和易于部署。云端基础的互动式人工智慧平台使企业能够快速部署和扩展人工智慧驱动的客户参与解决方案，而无需领先大量的前期基础设施投资。与现有系统整合的灵活性以及透过云端服务提供的高级人工智慧功能有助于该细分市场的高成长率。

比最大的地区

预计亚太地区在预测期内将占据最大的市场占有率。这一优势得益于数位化的快速发展、人工智慧技术的不断采用，以及中国和印度等国家庞大消费市场的存在。该地区对创新的重视，加上政府加速采用人工智慧的努力，有助于其市场领先地位。电子商务行业的成长、数位付款系统的扩展以及智慧型手机普及率的提高进一步推动了各行业客户服务和互动应用程式对互动式人工智慧解决方案的需求。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率。这种快速成长的推动因素包括人工智慧技术意识的增强、数位转型投资的增加以及对自动化客户服务解决方案的需求不断增长。该地区庞大且精通技术的人口，加上线上业务的快速扩张，为互动式人工智慧的采用创造了肥沃的土壤。此外，政府支持人工智慧市场开拓的倡议以及众多高科技新兴企业的存在也有助于加速该地区互动式人工智慧市场的成长。

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订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球互动式人工智慧市场：依产品分类

  • 软体
  • 服务

第六章 全球互动式人工智慧市场：依部署模式

  • 本地
  • 云

第七章 全球互动式人工智慧市场：按互动式介面划分

  • 聊天机器人
  • 智慧虚拟助理（IVA）
  • 互动式语音应答（IVR）系统

第八章全球互动式人工智慧市场：按使用案例

  • 客户支援和参与
  • 私人助理
  • 品牌和行销
  • 员工沟通
  • 客服中心
  • 销售与电子商务
  • 其他用例

第九章全球互动式人工智慧市场：依技术分类

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

第 10 章 全球互动式人工智慧市场：按最终用户划分

  • 银行、金融服务和保险 (BFSI)
  • 零售/电子商务
  • 卫生保健
  • 媒体和娱乐
  • 车
  • 通讯
  • 旅游/酒店
  • 政府
  • 其他最终用户

第十一章全球互动式人工智慧市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十二章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章 公司概况

  • Microsoft
  • IBM
  • Google
  • Amazon Web Services（AWS）
  • SAP
  • Oracle
  • Nuance Communications
  • Artificial Solutions
  • Kore.ai
  • LivePerson
  • Avaamo
  • Conversica
  • Haptik
  • Yellow.ai
  • Cognigy.AI
  • Amelia
  • Verint
  • Boost.ai
Product Code: SMRC27512

According to Stratistics MRC, the Global Conversational AI Market is accounted for $11.6 billion in 2024 and is expected to reach $42.2 billion by 2030, growing at a CAGR of 23.9% during the forecast period. Artificial intelligence (AI) that mimics human speech and text interactions is known as conversational AI. It uses machine learning, speech recognition, and natural language processing (NLP) to comprehend user inquiries and provide insightful answers. Virtual assistants, chatbots, and interactive voice response systems are applications that are frequently used in various industries to improve user experiences, expedite communication, and improve customer support. Conversational AI attempts to make interactions between users and systems smooth and interesting by imitating human speech.

According to Gartner, there is an anticipated 24% increase in call center investments in 2024, driven by conversational AI tools.

Market Dynamics:

Driver:

Increasing demand for Ai-driven customer support

Businesses are increasingly adopting conversational AI solutions to automate customer interactions, leading to operational efficiency and cost savings. AI-powered chatbots and virtual assistants can handle high volumes of customer queries 24/7, providing instant responses and personalized experiences. This trend is particularly evident in industries such as retail, banking, and e-commerce, where customer service is crucial. The ability of conversational AI to scale support operations while maintaining quality is driving its widespread adoption.

Restraint:

Limited language and regional capabilities

Most conversational AI products currently offer support for a limited number of languages, with better compatibility for English. This limitation hinders the global adoption of conversational AI solutions, especially in regions where English is not the primary language. The challenge of developing AI models that can understand and respond accurately to various languages, dialects, and cultural nuances is substantial. This constraint can potentially slow down market growth in non-English-speaking regions and limit the effectiveness of conversational AI in diverse global markets.

Opportunity:

Usage of omnichannel communication

Integrating conversational AI across multiple channels, such as websites, mobile apps, social media platforms, and voice-activated devices, enhances the overall customer experience. This approach allows businesses to maintain consistent and contextual interactions with customers across various touchpoints. Omnichannel deployment enables seamless customer journeys, improves engagement, and provides valuable insights into customer behavior. As businesses strive to offer cohesive experiences across all channels, the demand for versatile conversational AI solutions capable of supporting omnichannel strategies is expected to grow substantially.

Threat:

Data privacy

Data privacy concerns pose a significant threat to the conversational AI market. As conversational AI systems collect and process large amounts of personal and potentially sensitive user data, there are growing concerns about data security, privacy breaches, and compliance with data protection regulations. Users may be hesitant to engage with AI-powered systems if they perceive a risk to their personal information. Additionally, stringent data protection laws like GDPR in Europe and CCPA in California require businesses to implement robust data protection measures. Failure to address these concerns adequately could lead to reduced user trust and adoption, potentially hindering market growth.

Covid-19 Impact:

The COVID-19 pandemic had a positive impact on the conversational AI market. As businesses shifted to remote operations and digital interactions, the demand for AI-powered customer support and engagement solutions surged. Conversational AI technologies were rapidly adopted to handle increased customer inquiries, automate processes, and maintain business continuity. The pandemic accelerated digital transformation efforts, leading to increased investments in AI technologies, including conversational AI, to enhance customer experiences and operational efficiency.

The software segment is expected to be the largest during the forecast period

The software segment is predicted to secure the largest market share throughout the forecast period. This dominance can be attributed to the increasing adoption of conversational AI platforms across various industries. Software solutions, including natural language processing (NLP) engines, machine learning algorithms, and dialogue management systems, form the core of conversational AI capabilities. These software components enable businesses to create, deploy, and manage intelligent virtual assistants and chatbots. The flexibility, scalability, and continuous improvements in AI software technologies contribute to its larger market share as organizations seek to enhance customer interactions and automate processes.

The cloud-based segment is expected to have the highest CAGR during the forecast period

The cloud-based segment is projected to have the highest CAGR in the conversational AI market during the extrapolated period. This rapid growth is driven by the numerous advantages offered by cloud-based solutions, including scalability, cost-effectiveness, and ease of deployment. Cloud-based conversational AI platforms allow businesses to quickly implement and scale their AI-powered customer engagement solutions without significant upfront infrastructure investments. The flexibility to integrate with existing systems and the ability to leverage advanced AI capabilities through cloud services contribute to the segment's high growth rate.

Region with largest share:

The Asia Pacific region is projected to account for the largest market share during the forecast period. This dominance is attributed to rapid digitalization, increasing adoption of AI technologies, and the presence of large consumer markets in countries like China and India. The region's strong focus on technological innovation, coupled with government initiatives promoting AI adoption, contributes to its market leadership. The growing e-commerce sector, expanding digital payment systems, and increasing smartphone penetration further drive the demand for conversational AI solutions in customer service and engagement applications across various industries.

Region with highest CAGR:

The Asia Pacific region is projected to achieve the highest CAGR during the forecast period. This rapid growth is fueled by factors such as the increasing awareness of AI technologies, rising investments in digital transformation, and the growing demand for automated customer service solutions. The region's large and tech-savvy population, coupled with the rapid expansion of online businesses, creates fertile ground for conversational AI adoption. Additionally, government initiatives supporting AI development and the presence of numerous tech startups contribute to the region's accelerated growth in the conversational AI market.

Key players in the market

Some of the key players in Conversational AI Market include Microsoft, IBM, Google, Amazon Web Services (AWS), SAP, Oracle, Nuance Communications, Artificial Solutions, Kore.ai, LivePerson, Avaamo, Conversica, Haptik, Yellow.ai, Cognigy.AI, Amelia, Verint, and Boost.ai.

Key Developments:

In October 2024, at the 10th edition of the Google for India event, Google announced Hindi support for Google Gemini Live, a more sophisticated version of its Gemini AI chatbot. Gemini Live will soon expand to include eight additional Indian languages. Google also revealed that Indian users listen to AI Overview responses more frequently than users in other countries.

In August 2024, AWS has entered into a Strategic Collaboration Agreement with PolyAI, a leader in customer-led conversational AI solutions. This collaboration aims to accelerate the adoption of generative voice AI capabilities within enterprise contact centers. PolyAI will leverage Amazon SageMaker and Amazon Bedrock to train and fine-tune an integrated suite of speech recognition, large language models (LLMs), and text-to-speech models.

Offerings Covered:

  • Software
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud

Conversational Interfaces Covered:

  • Chatbots
  • Intelligent Virtual Assistants (IVAs)
  • Interactive Voice Response (IVR) Systems

Use Cases Covered:

  • Customer Support & Engagement
  • Personal Assistants
  • Branding & Marketing
  • Employee Communication
  • Contact Centers
  • Sales & E-commerce
  • Other Use Cases

Technologies Covered:

  • Natural Language Processing (NLP)
  • Automated Speech Recognition (ASR)
  • Machine Learning (ML)
  • Deep Learning
  • Other Technologies

End Users Covered:

  • Banking, Financial Services, & Insurance (BFSI)
  • Retail & E-commerce
  • Healthcare
  • Media & Entertainment
  • Automotive
  • Telecom
  • Travel & Hospitality
  • 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 2022, 2023, 2024, 2026, and 2030
  • 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 Conversational AI Market, By Offering

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Services

6 Global Conversational AI Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud

7 Global Conversational AI Market, By Conversational Interface

  • 7.1 Introduction
  • 7.2 Chatbots
  • 7.3 Intelligent Virtual Assistants (IVAs)
  • 7.4 Interactive Voice Response (IVR) Systems

8 Global Conversational AI Market, By Use Case

  • 8.1 Introduction
  • 8.2 Customer Support & Engagement
  • 8.3 Personal Assistants
  • 8.4 Branding & Marketing
  • 8.5 Employee Communication
  • 8.6 Contact Centers
  • 8.7 Sales & E-commerce
  • 8.8 Other Use Cases

9 Global Conversational AI Market, By Technology

  • 9.1 Introduction
  • 9.2 Natural Language Processing (NLP)
  • 9.3 Automated Speech Recognition (ASR)
  • 9.4 Machine Learning (ML)
  • 9.5 Deep Learning
  • 9.6 Other Technologies

10 Global Conversational AI Market, By End User

  • 10.1 Introduction
  • 10.2 Banking, Financial Services, & Insurance (BFSI)
  • 10.3 Retail & E-commerce
  • 10.4 Healthcare
  • 10.5 Media & Entertainment
  • 10.6 Automotive
  • 10.7 Telecom
  • 10.8 Travel & Hospitality
  • 10.9 Government
  • 10.10 Other End Users

11 Global Conversational AI 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 Microsoft
  • 13.2 IBM
  • 13.3 Google
  • 13.4 Amazon Web Services (AWS)
  • 13.5 SAP
  • 13.6 Oracle
  • 13.7 Nuance Communications
  • 13.8 Artificial Solutions
  • 13.9 Kore.ai
  • 13.10 LivePerson
  • 13.11 Avaamo
  • 13.12 Conversica
  • 13.13 Haptik
  • 13.14 Yellow.ai
  • 13.15 Cognigy.AI
  • 13.16 Amelia
  • 13.17 Verint
  • 13.18 Boost.ai

List of Tables

  • Table 1 Global Conversational AI Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Conversational AI Market Outlook, By Offering (2022-2030) ($MN)
  • Table 3 Global Conversational AI Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Conversational AI Market Outlook, By Services (2022-2030) ($MN)
  • Table 5 Global Conversational AI Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 6 Global Conversational AI Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 7 Global Conversational AI Market Outlook, By Cloud (2022-2030) ($MN)
  • Table 8 Global Conversational AI Market Outlook, By Conversational Interface (2022-2030) ($MN)
  • Table 9 Global Conversational AI Market Outlook, By Chatbots (2022-2030) ($MN)
  • Table 10 Global Conversational AI Market Outlook, By Intelligent Virtual Assistants (IVAs) (2022-2030) ($MN)
  • Table 11 Global Conversational AI Market Outlook, By Interactive Voice Response (IVR) Systems (2022-2030) ($MN)
  • Table 12 Global Conversational AI Market Outlook, By Use Case (2022-2030) ($MN)
  • Table 13 Global Conversational AI Market Outlook, By Customer Support & Engagement (2022-2030) ($MN)
  • Table 14 Global Conversational AI Market Outlook, By Personal Assistants (2022-2030) ($MN)
  • Table 15 Global Conversational AI Market Outlook, By Branding & Marketing (2022-2030) ($MN)
  • Table 16 Global Conversational AI Market Outlook, By Employee Communication (2022-2030) ($MN)
  • Table 17 Global Conversational AI Market Outlook, By Contact Centers (2022-2030) ($MN)
  • Table 18 Global Conversational AI Market Outlook, By Sales & E-commerce (2022-2030) ($MN)
  • Table 19 Global Conversational AI Market Outlook, By Other Use Cases (2022-2030) ($MN)
  • Table 20 Global Conversational AI Market Outlook, By Technology (2022-2030) ($MN)
  • Table 21 Global Conversational AI Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 22 Global Conversational AI Market Outlook, By Automated Speech Recognition (ASR) (2022-2030) ($MN)
  • Table 23 Global Conversational AI Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
  • Table 24 Global Conversational AI Market Outlook, By Deep Learning (2022-2030) ($MN)
  • Table 25 Global Conversational AI Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 26 Global Conversational AI Market Outlook, By End User (2022-2030) ($MN)
  • Table 27 Global Conversational AI Market Outlook, By Banking, Financial Services, & Insurance (BFSI) (2022-2030) ($MN)
  • Table 28 Global Conversational AI Market Outlook, By Retail & E-commerce (2022-2030) ($MN)
  • Table 29 Global Conversational AI Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 30 Global Conversational AI Market Outlook, By Media & Entertainment (2022-2030) ($MN)
  • Table 31 Global Conversational AI Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 32 Global Conversational AI Market Outlook, By Telecom (2022-2030) ($MN)
  • Table 33 Global Conversational AI Market Outlook, By Travel & Hospitality (2022-2030) ($MN)
  • Table 34 Global Conversational AI Market Outlook, By Government (2022-2030) ($MN)
  • Table 35 Global Conversational AI Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.