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对话式人工智慧市场 - 全球和区域分析：按组件、按类型、按技术、按部署、按最终用户、按地区 - 分析和预测（2024-2034）
市场调查报告书
商品编码
1496188

对话式人工智慧市场 - 全球和区域分析：按组件、按类型、按技术、按部署、按最终用户、按地区 - 分析和预测（2024-2034）

Conversational AI Market - A Global and Regional Analysis: Focus on Component, Type, Technology, Deployment, End User, and Region - Analysis and Forecast, 2024-2034
出版日期: | 出版商: BIS Research | 英文 100 Pages | 商品交期: 1-5个工作天内

价格
简介目录

由于人工智慧技术在各个领域的日益普及，对话式人工智慧的市场规模正经历显着成长。

企业正在利用对话式人工智慧来增强客户参与、自动化客户支援并简化沟通流程。考虑到乐观的情况，预计2024年市场规模将达到138.6亿美元，并预计未来几年复合年增长率为21.95%，到2034年将达到1008亿美元。

主要市场统计数据
预测期 2024-2034
2024年评估 138.6亿美元
2034年预测 1008亿美元
复合年增长率 21.95%

这种快速成长是由对人工智慧驱动的客户支援服务不断增长的需求以及品牌与消费者之间更个人化互动的推动所推动的。自然语言处理、机器学习和计算语言学方面的技术进步进一步实现了更复杂、更有效率的对话式人工智慧平台。该市场的主要参与企业包括 IBM、谷歌、微软和亚马逊，它们都在竞相透过增强的人工智慧能力和全面的解决方案进行创新并赢得市场占有率。从财务角度来看，对话式人工智慧市场预计将在未来十年稳定成长。将对话式人工智慧整合到行动应用程式和物联网设备中预计将开闢新的成长途径，特别是在金融、医疗保健和电子商务等行业。

对话式人工智慧领域的本地市场显着成长主要归功于它为组织提供的高度控制和安全性。拥有敏感资讯的公司（例如金融、医疗保健和政府部门的公司）通常更喜欢本地解决方案来直接管理资料并确保遵守严格的监管要求。

此外，本地部署允许公司根据其特定的组织需求和技术环境更广泛地客製对话式人工智慧系统。这种客製化能力对于需要与现有旧有系统进行独特整合的大型企业至关重要，而云端基础的解决方案很难实现这一点。因此，儘管云端运算的趋势不断增长，但客製化的特定需求，加上资料安全和监管合规性，正在推动某些行业和大型企业对本地对话式人工智慧解决方案的偏好，我们将继续支援它。

该报告调查了全球对话式人工智慧市场，并按组件、类型、技术、部署、最终用户、地区和进入市场的公司概况提供了市场概况、趋势。

目录

执行摘要

第一章市场：产业展望

  • 趋势：当前和未来的影响评估
  • 供应链概览
  • 研发回顾
  • 监管状况
  • 相关利益者分析
  • 全球重大事件影响分析
  • 市场动态概览

第二章 对话式人工智慧市场（按应用）

  • 应用细分
  • 应用概述
  • 对话式人工智慧市场（按最终用户）
  • 对话式人工智慧市场（按实施情况）

第三章 对话式人工智慧市场（按产品）

  • 产品细分
  • 产品概要
  • 对话式人工智慧市场（按组成部分）
  • 对话式人工智慧市场（按类型）
  • 对话式人工智慧市场（按技术）

第四章 对话式人工智慧市场（按地区）

  • 对话式人工智慧市场（按地区）
  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他地区

第五章 公司简介

  • 未来展望
  • 地理评估
    • Google
    • Microsoft
    • Amazon Web Services, Inc.
    • IBM
    • Oracle
    • Nuance Communications, Inc.
    • FIS
    • SAP SE
    • Artificial Solutions
    • Kore.ai, Inc.
    • Avaamo
    • Conversica, Inc.
    • Solvvy
    • Kasisto
    • Cognigy
    • 其他主要参与企业

第六章调查方法

简介目录
Product Code: DT02120SA

Introduction to Conversational AI Market

The Conversational AI market is experiencing significant growth driven by the increasing adoption of AI technologies across diverse sectors. Enterprises are leveraging conversational AI to enhance customer engagement, automate customer support, and streamline communication processes. Considering the optimistic scenario the market is valued at $13.86 billion in 2024 and is expected to grow at a CAGR of 21.95% to reach $100.80 billion by 2034.

KEY MARKET STATISTICS
Forecast Period2024 - 2034
2024 Evaluation$13.86 Billion
2034 Forecast$100.80 Billion
CAGR21.95%

This surge is fueled by the heightened demand for AI-powered customer support services and the push for more personalized interaction between brands and consumers. Technological advancements in natural language processing, machine learning, and computational linguistics are further enabling more sophisticated and efficient conversational AI platforms. Major players in the market include IBM, Google, Microsoft, and Amazon, all competing to innovate and capture market share through enhanced AI capabilities and comprehensive solutions.Financially, the Conversational AI market is projected to expand robustly over the next decade. The integration of conversational AI into mobile applications and IoT devices is expected to open new avenues for growth, particularly in industries such as finance, healthcare, and e-commerce.

The leading market growth of the on-premise segment in the Conversational AI space can be attributed primarily to the heightened control and security it offers to organizations. Companies handling sensitive information, such as those in finance, healthcare, and government sectors, often prefer on-premise solutions to maintain direct control over their data and ensure compliance with stringent regulatory requirements. For example, financial institutions subject to regulations like GDPR and HIPAA opt for on-premise conversational AI to securely manage customer data internally, without exposing it to the potential vulnerabilities associated with cloud storage.

Additionally, the on-premise deployment allows businesses to customize their conversational AI systems more extensively according to specific organizational needs and technical environments. This customization capability is crucial for large enterprises that require unique integrations with existing legacy systems, which is less feasible with cloud-based solutions. As a result, despite the growing trend towards cloud computing, the specific needs for customization, coupled with data security and regulatory compliance, continue to drive the preference for on-premise conversational AI solutions in certain industries and large organizations.

North America leads the market growth in Conversational AI due to several factors including a robust technological infrastructure, high investment in AI technologies, and a strong presence of leading industry players such as Google, IBM, and Microsoft. The region's businesses are early adopters of advanced technologies aimed at enhancing customer experience and operational efficiencies, driving significant demand for conversational AI applications.

Moreover, the U.S. market shows a high inclination towards innovation and customer service improvements, supported by substantial investments from both private and public sectors in AI research and development. These conditions make North America an ideal environment for the growth and adoption of sophisticated Conversational AI solutions, reinforcing its market leadership.

The conversational AI market is marked by intense competition and rapid innovation, featuring a diverse array of participants ranging from tech giants to niche startups. Leading companies like Google, Microsoft, and Amazon dominate the landscape, leveraging their extensive cloud infrastructures and machine learning prowess to offer scalable solutions. These major players continue to enhance their platforms with advanced natural language processing capabilities and integrations, thus broadening their appeal across various industries including finance, healthcare, and customer service. Strategic acquisitions and partnerships are common strategies used to expand technological capabilities and market reach.

On the other hand, a number of specialized firms and startups are carving out their own spaces by focusing on specific segments of the market, such as enterprise-grade solutions, multilingual support, or industry-specific applications. These companies often emphasize unique features like emotional intelligence, context-aware computing, and proprietary algorithms for better user engagement. The competitive edge for these smaller players lies in their agility and innovative approaches, which enable them to tailor solutions more closely to customer needs. The market is also witnessing a growing trend towards privacy-focused designs and ethical AI, areas that are becoming significant differentiators in the face of increasing regulatory scrutiny and consumer demands for transparency.

Market Segmentation:

Segmentation 1: by Component

  • Solutions
  • Services
    • Managed Services
    • Professional Services

Segmentation 2: by Type

  • Chatbots
  • Intelligent Virtual Assistant (IVA)
  • Others

Segmentation 3: by Technology

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

Segmentation 4: by Deployment

  • Cloud
  • On-Premise

Segmentation 5: by End User

  • Banking, Financial Services and Insurance (BFSI)
  • Healthcare
  • IT and Telecom
  • Retail and eCommerce
  • Others

Segmentation 6: by Region

  • North America
  • Europe
  • Asia-Pacific
  • Rest-of-the-World

How can this report add value to an organization?

Product/Innovation Strategy: The global conversational AI market has been extensively segmented based on various categories, such as type, component, deployment, technology, and end user. This can help readers get a clear overview of which segments account for the largest share and which ones are well-positioned to grow in the coming years.

Competitive Strategy: A detailed competitive benchmarking of the players operating in the global conversational AI market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.

Some of the prominent companies in this market are:

  • Microsoft
  • Amazon Web Services, Inc.
  • IBM
  • Oracle
  • Conversica, Inc.

Key Questions Answered in this Report:

  • What are the main factors driving the demand for global conversational AI market?
  • How many patents have been filed by the companies active in the global conversational AI market?
  • Who are the key players in the global conversational AI market, and what are their respective market shares?
  • What partnerships or collaborations are prominent among stakeholders in the global conversational AI market?
  • What are the strategies adopted by the key companies to gain a competitive edge in global conversational AI market?
  • What is the futuristic outlook for the global conversational AI market in terms of growth potential?
  • What is the current estimation of the global conversational AI market and what growth trajectory is projected from 2024 to 2034?
  • Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
  • What could be the impact of growing application in the global conversational AI market?
  • Which regions demonstrate the highest adoption rates for global conversational AI market, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

  • 1.1 Trends: Current and Future Impact Assessment
  • 1.2 Supply Chain Overview
    • 1.2.1 Value Chain Analysis
    • 1.2.2 Pricing Forecast
  • 1.3 R&D Review
    • 1.3.1 Patent Filing Trend by Year, by Country
  • 1.4 Regulatory Landscape
  • 1.5 Stakeholder Analysis
    • 1.5.1 Use Case
    • 1.5.2 End User and Buying Criteria
  • 1.6 Impact Analysis for Key Global Events
  • 1.7 Market Dynamics Overview
    • 1.7.1 Market Drivers
    • 1.7.2 Market Restraints
    • 1.7.3 Market Opportunities

2. Conversational AI Market (by Application)

  • 2.1 Application Segmentation
  • 2.2 Application Summary
  • 2.3 Conversational AI Market (by End User)
    • 2.3.1 Banking, Financial Services and Insurance (BFSI)
    • 2.3.2 Healthcare
    • 2.3.3 IT and Telecom
    • 2.3.4 Retail and eCommerce
    • 2.3.5 Others
  • 2.4 Conversational AI Market (by Deployment)
    • 2.4.1 Cloud
    • 2.4.2 On-Premise

3. Conversational AI Market (by Products)

  • 3.1 Product Segmentation
  • 3.2 Product Summary
  • 3.3 Conversational AI Market (by Component)
    • 3.3.1 Solutions
    • 3.3.2 Service
      • 3.3.2.1 Professional Services
      • 3.3.2.2 Managed Services
  • 3.4 Conversational AI Market (by Type)
    • 3.4.1 Chatbots
    • 3.4.2 Intelligent Virtual Assistant (IVA)
    • 3.4.3 Others
  • 3.5 Conversational AI Market (by Technology)
    • 3.5.1 Natural Language Processing (NLP)
    • 3.5.2 ML and Deep Learning
    • 3.5.3 Automatic Speech Recognition (ASR)
    • 3.5.4 Others

4. Conversational AI Market (by Region)

  • 4.1 Conversational AI Market (by Region)
  • 4.2 North America
    • 4.2.1 Regional Overview
    • 4.2.2 Driving Factors for Market Growth
    • 4.2.3 Factors Challenging the Market
    • 4.2.4 Application
    • 4.2.5 Product
    • 4.2.6 U.S.
      • 4.2.6.1 Market by Application
      • 4.2.6.2 Market by Product
    • 4.2.7 Canada
      • 4.2.7.1 Market by Application
      • 4.2.7.2 Market by Product
    • 4.2.8 Mexico
      • 4.2.8.1 Market by Application
      • 4.2.8.2 Market by Product
  • 4.3 Europe
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Application
    • 4.3.5 Product
    • 4.3.6 Germany
      • 4.3.6.1 Market by Application
      • 4.3.6.2 Market by Product
    • 4.3.7 France
      • 4.3.7.1 Market by Application
      • 4.3.7.2 Market by Product
    • 4.3.8 U.K.
      • 4.3.8.1 Market by Application
      • 4.3.8.2 Market by Product
    • 4.3.9 Italy
      • 4.3.9.1 Market by Application
      • 4.3.9.2 Market by Product
    • 4.3.10 Rest-of-Europe
      • 4.3.10.1 Market by Application
      • 4.3.10.2 Market by Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Application
    • 4.4.5 Product
    • 4.4.6 China
      • 4.4.6.1 Market by Application
      • 4.4.6.2 Market by Product
    • 4.4.7 Japan
      • 4.4.7.1 Market by Application
      • 4.4.7.2 Market by Product
    • 4.4.8 India
      • 4.4.8.1 Market by Application
      • 4.4.8.2 Market by Product
    • 4.4.9 Australia
      • 4.4.9.1 Market by Application
      • 4.4.9.2 Market by Product
    • 4.4.10 Rest-of-Asia-Pacific
      • 4.4.10.1 Market by Application
      • 4.4.10.2 Market by Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Application
    • 4.5.5 Product
    • 4.5.6 South America
      • 4.5.6.1 Market by Application
      • 4.5.6.2 Market by Product
    • 4.5.7 Middle East and Africa
      • 4.5.7.1 Market by Application
      • 4.5.7.2 Market by Product

5. Companies Profiled

  • 5.1 Next Frontiers
  • 5.2 Geographic Assessment
    • 5.2.1 Google
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share
    • 5.2.2 Microsoft
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share
    • 5.2.3 Amazon Web Services, Inc.
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share
    • 5.2.4 IBM
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share
    • 5.2.5 Oracle
      • 5.2.5.1 Overview
      • 5.2.5.2 Top Products/Product Portfolio
      • 5.2.5.3 Top Competitors
      • 5.2.5.4 Target Customers
      • 5.2.5.5 Key Personnel
      • 5.2.5.6 Analyst View
      • 5.2.5.7 Market Share
    • 5.2.6 Nuance Communications, Inc.
      • 5.2.6.1 Overview
      • 5.2.6.2 Top Products/Product Portfolio
      • 5.2.6.3 Top Competitors
      • 5.2.6.4 Target Customers
      • 5.2.6.5 Key Personnel
      • 5.2.6.6 Analyst View
      • 5.2.6.7 Market Share
    • 5.2.7 FIS
      • 5.2.7.1 Overview
      • 5.2.7.2 Top Products/Product Portfolio
      • 5.2.7.3 Top Competitors
      • 5.2.7.4 Target Customers
      • 5.2.7.5 Key Personnel
      • 5.2.7.6 Analyst View
      • 5.2.7.7 Market Share
    • 5.2.8 SAP SE
      • 5.2.8.1 Overview
      • 5.2.8.2 Top Products/Product Portfolio
      • 5.2.8.3 Top Competitors
      • 5.2.8.4 Target Customers
      • 5.2.8.5 Key Personnel
      • 5.2.8.6 Analyst View
      • 5.2.8.7 Market Share
    • 5.2.9 Artificial Solutions
      • 5.2.9.1 Overview
      • 5.2.9.2 Top Products/Product Portfolio
      • 5.2.9.3 Top Competitors
      • 5.2.9.4 Target Customers
      • 5.2.9.5 Key Personnel
      • 5.2.9.6 Analyst View
      • 5.2.9.7 Market Share
    • 5.2.10 Kore.ai, Inc.
      • 5.2.10.1 Overview
      • 5.2.10.2 Top Products/Product Portfolio
      • 5.2.10.3 Top Competitors
      • 5.2.10.4 Target Customers
      • 5.2.10.5 Key Personnel
      • 5.2.10.6 Analyst View
      • 5.2.10.7 Market Share
    • 5.2.11 Avaamo
      • 5.2.11.1 Overview
      • 5.2.11.2 Top Products/Product Portfolio
      • 5.2.11.3 Top Competitors
      • 5.2.11.4 Target Customers
      • 5.2.11.5 Key Personnel
      • 5.2.11.6 Analyst View
      • 5.2.11.7 Market Share
    • 5.2.12 Conversica, Inc.
      • 5.2.12.1 Overview
      • 5.2.12.2 Top Products/Product Portfolio
      • 5.2.12.3 Top Competitors
      • 5.2.12.4 Target Customers
      • 5.2.12.5 Key Personnel
      • 5.2.12.6 Analyst View
      • 5.2.12.7 Market Share
    • 5.2.13 Solvvy
      • 5.2.13.1 Overview
      • 5.2.13.2 Top Products/Product Portfolio
      • 5.2.13.3 Top Competitors
      • 5.2.13.4 Target Customers
      • 5.2.13.5 Key Personnel
      • 5.2.13.6 Analyst View
      • 5.2.13.7 Market Share
    • 5.2.14 Kasisto
      • 5.2.14.1 Overview
      • 5.2.14.2 Top Products/Product Portfolio
      • 5.2.14.3 Top Competitors
      • 5.2.14.4 Target Customers
      • 5.2.14.5 Key Personnel
      • 5.2.14.6 Analyst View
      • 5.2.14.7 Market Share
    • 5.2.15 Cognigy
      • 5.2.15.1 Overview
      • 5.2.15.2 Top Products/Product Portfolio
      • 5.2.15.3 Top Competitors
      • 5.2.15.4 Target Customers
      • 5.2.15.5 Key Personnel
      • 5.2.15.6 Analyst View
      • 5.2.15.7 Market Share
    • 5.2.16 Other Key Players

6. Research Methodology