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对话式商务市场 - 全球规模、份额、趋势分析、机会、预测报告，2019-2029
市场调查报告书
商品编码
1364747

对话式商务市场 - 全球规模、份额、趋势分析、机会、预测报告，2019-2029

Conversational Commerce Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Type ; By Deployment Mode ; By Organization Size ; By Industry ; By Region
出版日期: | 出版商: Blueweave Consulting | 英文 400 Pages | 商品交期: 2-3个工作天内

价格
简介目录

全球会话商务市场规模成长 3.4 倍，复合年复合成长率稳定在 24%，到 2029 年将达到 376.4 亿美元

由于人工智慧 (AI) 的日益普及以及客户对便利性和个人化的需求，全球会话商务市场正在蓬勃发展。

领先的策略咨询和市场研究公司 BlueWeave Consulting 在最近的一项研究中估计，2022 年全球会话商务市场规模将达到 103.4 亿美元。 BlueWeave 预测，在 2023 年至 2029 年的预测期内，全球会话商务市场规模将以 24.03% 的年复合成长率稳步增长，到 2029 年将达到 376.4 亿美元的规模。全球对话商务市场的主要成长促进因素包括该领域技术创新水准的提升。人工智慧 (AI) 和机器学习 (ML) 的出现使企业能够开发高度复杂的聊天机器人，能够理解并有效回应客户的联络方式。此外，这些系统与个人化产品推荐和促销激励措施相结合，可促进快速且有针对性的客户服务。此外，公司营运的竞争形势正在推动对话式商务的成长。随着电子商务平台的普及和线上市场的扩张，企业正在积极寻求创新方式来自家公司，并为客户提供更具吸引力的购物体验。对话式商务正在成为企业透过提供个人化和互动式互动来从竞争中脱颖而出并吸引更多客户的解决方案。然而，对聊天机器人缺乏信任以及与人类的互动有限预计将在预测期内抑制整个市场。

该报告的详细分析提供了有关全球会话商务市场的成长潜力、未来趋势和统计数据的资讯。我们也研究了推动市场总规模预测的要素。该报告提供了全球对话商务市场的最新技术趋势和业界考察，并承诺帮助决策者做出明智的策略决策。此外，我们也分析了市场的成长促进因素、挑战和竞争力。

目录

第1章研究框架

第2章执行摘要

第3章全球会话商务市场洞察

  • 产业价值链分析
  • DROC分析
    • 成长促进因素
      • 扩大人工智慧 (AI) 的采用
      • 客户对便利性和个人化的需求增加
    • 抑制因素
      • 对聊天机器人缺乏信任
      • 有限的人际关係
    • 机会
      • 全球扩张
      • 跨通路整合
    • 任务
      • 安全和隐私问题
      • 实施障碍
  • 科技进步/最新发展
  • 法律规范
  • 波特五力分析

第4章全球会话商务市场概述

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按类型
      • 聊天机器人
      • 智慧虚拟助理
    • 依部署方式
      • 本地
      • 云
    • 按组织规模
      • 大公司
      • 中小企业
    • 按行业分类
      • BFSI
      • 医疗保健和生命科学
      • 零售与电子商务
      • 资讯科技和通讯
      • 媒体和娱乐
      • 旅游和招待
      • 其他的
    • 按地区
      • 北美洲
      • 欧洲
      • 亚太地区 (APAC)
      • 拉丁美洲 (LATAM)
      • 中东和非洲 (MEA)

第5章北美会话商务市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按类型
    • 依部署方式
    • 按组织规模
    • 按行业分类
    • 按国家/地区
      • 美国
      • 加拿大

第6章欧洲会话商务市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按类型
    • 依部署方式
    • 按组织规模
    • 按行业分类
    • 按国家/地区
      • 德国
      • 英国
      • 义大利
      • 法国
      • 西班牙
      • 比利时
      • 俄罗斯
      • 荷兰
      • 其他欧洲国家

第7章亚太会话商务市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按类型
    • 依部署方式
    • 按组织规模
    • 按行业分类
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳洲和纽西兰
      • 印尼
      • 马来西亚
      • 新加坡
      • 越南
      • 亚太地区其他国家

第8章拉丁美洲会话商务市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按类型
    • 依部署方式
    • 按组织规模
    • 按行业分类
    • 按国家/地区
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘鲁
      • 拉丁美洲其他地区

第9章中东和非洲会话商务市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按类型
    • 依部署方式
    • 按组织规模
    • 按行业分类
    • 按国家/地区
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 科威特
      • 南非
      • 奈及利亚
      • 阿尔及利亚
      • MEA 的其余部分

第10章竞争形势

  • 主要参与者及其类型列表
  • 2022 年全球会话商务市场占有率分析
  • 透过管理参数进行竞争基准化分析
  • 主要策略发展（合併、收购、合作伙伴关係等）

第11章新型冠状病毒肺炎（COVID-19）对全球会话商务市场的影响

12：公司简介（公司简介、财务矩阵、竞争形势、关键人员、主要竞争、联络地址、策略展望、SWOT分析）

  • Charles GmbH
  • Octane AI
  • WorkFusion
  • Quiq
  • SleekFlow
  • Cognicor
  • Recart
  • Via
  • GLia
  • Action.AI
  • Inbenta
  • Wizard Commerce
  • Webio Ltd
  • Take App
  • CM.com
  • Drift
  • Yalo
  • LivePerson
  • 其他主要企业

第13章关键战略建议

第14章调查方法

简介目录
Product Code: BWC23828

Global Conversational Commerce Market Size Zooming 3.4X at Robust CAGR of CAGR 24% to Touch USD 37.64 Billion by 2029.

Global conversational commerce market is flourishing because of an increasing adoption of artificial intelligence (AI) and rising customer demand for convenience and personalization.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated the global conversational commerce market size at USD 10.34 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects global conversational commerce market size to grow at a robust CAGR of 24.03% reaching a value of USD 37.64 billion by 2029. Major growth drivers for the global conversational commerce market include an increasing level of innovation within the sector. The advent of artificial intelligence (AI) and machine learning (ML) has empowered companies to develop highly sophisticated chatbots capable of comprehending and effectively responding to customer inquiries. Furthermore, these systems facilitate swift and precise customer service, coupled with personalized product recommendations and promotional incentives. Additionally, the competitive landscape within which businesses operate is spurring the growth of conversational commerce. With the proliferation of e-commerce platforms and the expansion of online marketplaces, companies are actively seeking innovative means to differentiate themselves and deliver more engaging shopping experiences to their customers. Conversational commerce emerges as a solution, allowing businesses to offer personalized and interactive interactions, setting them apart from competitors and attracting a larger customer base. However, lack of trust in chatbots and limited human interaction are anticipated to restrain the overall market during the forecast period.

Global Conversational Commerce Market - Overview:

The global conversational commerce market refers to the worldwide industry that encompasses the use of technology, particularly artificial intelligence (AI) and chatbot systems, to facilitate interactive and personalized conversations between businesses and customers. In this market, businesses employ chatbots and automated messaging platforms to engage with customers, answer inquiries, provide customer support, and even assist with product recommendations or purchases. Conversational commerce aims to enhance the customer experience by enabling seamless, real-time, and natural-language interactions through various digital communication channels, including messaging apps, websites, and social media platforms. This market represents the growing integration of technology and communication to streamline online transactions and improve customer engagement in the global business landscape.

Impact of COVID-19 on Global Conversational Commerce Market

COVID-19 pandemic adversely affected the global conversational commerce market. With lockdowns and social distancing measures in place, there has been a surge in online shopping and digital interactions. As a result, businesses accelerated the adoption of conversational commerce to cater to increased customer demand for virtual shopping assistance, support, and personalized recommendations. The pandemic highlighted the importance of contactless shopping and efficient customer service, driving the growth of AI-powered chatbots and virtual assistants. While COVID-19 initially disrupted supply chains, conversational commerce solutions have helped businesses adapt to the new normal, ensuring continuity and resilience in the face of global challenges.

Global Conversational Commerce Market - By Organization Size

Based on organization size, the global conversational commerce market is bifurcated into Large Enterprises and SMEs segments. The large enterprises segment holds a higher share in the global conversational commerce market by organization size. Large enterprises typically have more extensive resources, allowing them to invest significantly in advanced conversational commerce solutions powered by artificial intelligence and machine learning. These enterprises have the capacity to implement comprehensive and highly personalized customer engagement strategies, leveraging conversational AI to offer tailored experiences. Also, their broader customer base and market reach enable them to benefit from economies of scale, making the deployment of sophisticated conversational commerce platforms more cost-effective. As a result, large enterprises can provide enhanced customer experiences, driving their dominance in the market.

Competitive Landscape:

Major players operating in the global conversational commerce market include: Charles GmbH, Octane AI, WorkFusion, Quiq, SleekFlow, Cognicor, Recart, Via, GLia, Action.AI, Inbenta, Wizard Commerce, Webio Ltd, Take App, CM.com, Drift, Yalo, and LivePerson. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics on the Global Conversational Commerce Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in the Global Conversational Commerce Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Conversational Commerce Market Insights

  • 3.1. Industry Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Growing adoption of artificial intelligence (AI)
      • 3.2.1.2. Increasing customer demand for convenience and personalization
    • 3.2.2. Restraints
      • 3.2.2.1. Lack of trust in chatbots
      • 3.2.2.2. Limited human interaction
    • 3.2.3. Opportunities
      • 3.2.3.1. Global expansion
      • 3.2.3.2. Cross-channel integration
    • 3.2.4. Challenges
      • 3.2.4.1. Security and privacy concerns
      • 3.2.4.2. Adoption hurdles
  • 3.3. Technological Advancements/Recent Developments
  • 3.4. Regulatory Framework
  • 3.5. Porter's Five Forces Analysis
    • 3.5.1. Bargaining Power of Suppliers
    • 3.5.2. Bargaining Power of Buyers
    • 3.5.3. Threat of New Entrants
    • 3.5.4. Threat of Substitutes
    • 3.5.5. Intensity of Rivalry

4. Global Conversational Commerce Market Overview

  • 4.1. Market Size & Forecast, 2019-2029
    • 4.1.1. By Value (USD Billion)
  • 4.2. Market Share and Forecast
    • 4.2.1. By Type
      • 4.2.1.1. Chatbots
      • 4.2.1.2. Intelligent Virtual Assistants
    • 4.2.2. By Deployment Mode
      • 4.2.2.1. On-premises
      • 4.2.2.2. Cloud
    • 4.2.3. By Organization Size
      • 4.2.3.1. Large Enterprises
      • 4.2.3.2. SMEs
    • 4.2.4. By Industry
      • 4.2.4.1. BFSI
      • 4.2.4.2. Healthcare & Life Sciences
      • 4.2.4.3. Retail & E-commerce
      • 4.2.4.4. IT & Telecommunications
      • 4.2.4.5. Media & Entertainment
      • 4.2.4.6. Travel & Hospitality
      • 4.2.4.7. Others
    • 4.2.5. By Region
      • 4.2.5.1. North America
      • 4.2.5.2. Europe
      • 4.2.5.3. Asia Pacific (APAC)
      • 4.2.5.4. Latin America (LATAM)
      • 4.2.5.5. Middle East and Africa (MEA)

5. North America Conversational Commerce Market

  • 5.1. Market Size & Forecast, 2019-2029
    • 5.1.1. By Value (USD Billion)
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type
    • 5.2.2. By Deployment Mode
    • 5.2.3. By Organization Size
    • 5.2.4. By Industry
    • 5.2.5. By Country
      • 5.2.5.1. United States
      • 5.2.5.1.1. By Type
      • 5.2.5.1.2. By Deployment Mode
      • 5.2.5.1.3. By Organization Size
      • 5.2.5.1.4. By Industry
      • 5.2.5.2. Canada
      • 5.2.5.2.1. By Type
      • 5.2.5.2.2. By Deployment Mode
      • 5.2.5.2.3. By Organization Size
      • 5.2.5.2.4. By Industry

6. Europe Conversational Commerce Market

  • 6.1. Market Size & Forecast, 2019-2029
    • 6.1.1. By Value (USD Billion)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Deployment Mode
    • 6.2.3. By Organization Size
    • 6.2.4. By Industry
    • 6.2.5. By Country
      • 6.2.5.1. Germany
      • 6.2.5.1.1. By Type
      • 6.2.5.1.2. By Deployment Mode
      • 6.2.5.1.3. By Organization Size
      • 6.2.5.1.4. By Industry
      • 6.2.5.2. United Kingdom
      • 6.2.5.2.1. By Type
      • 6.2.5.2.2. By Deployment Mode
      • 6.2.5.2.3. By Organization Size
      • 6.2.5.2.4. By Industry
      • 6.2.5.3. Italy
      • 6.2.5.3.1. By Type
      • 6.2.5.3.2. By Deployment Mode
      • 6.2.5.3.3. By Organization Size
      • 6.2.5.3.4. By Industry
      • 6.2.5.4. France
      • 6.2.5.4.1. By Type
      • 6.2.5.4.2. By Deployment Mode
      • 6.2.5.4.3. By Organization Size
      • 6.2.5.4.4. By Industry
      • 6.2.5.5. Spain
      • 6.2.5.5.1. By Type
      • 6.2.5.5.2. By Deployment Mode
      • 6.2.5.5.3. By Organization Size
      • 6.2.5.5.4. By Industry
      • 6.2.5.6. Belgium
      • 6.2.5.6.1. By Type
      • 6.2.5.6.2. By Deployment Mode
      • 6.2.5.6.3. By Organization Size
      • 6.2.5.6.4. By Industry
      • 6.2.5.7. Russia
      • 6.2.5.7.1. By Type
      • 6.2.5.7.2. By Deployment Mode
      • 6.2.5.7.3. By Organization Size
      • 6.2.5.7.4. By Industry
      • 6.2.5.8. The Netherlands
      • 6.2.5.8.1. By Type
      • 6.2.5.8.2. By Deployment Mode
      • 6.2.5.8.3. By Organization Size
      • 6.2.5.8.4. By Industry
      • 6.2.5.9. Rest of Europe
      • 6.2.5.9.1. By Type
      • 6.2.5.9.2. By Deployment Mode
      • 6.2.5.9.3. By Organization Size
      • 6.2.5.9.4. By Industry

7. Asia-Pacific Conversational Commerce Market

  • 7.1. Market Size & Forecast, 2019-2029
    • 7.1.1. By Value (USD Billion)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Organization Size
    • 7.2.4. By Industry
    • 7.2.5. By Country
      • 7.2.5.1. China
      • 7.2.5.1.1. By Type
      • 7.2.5.1.2. By Deployment Mode
      • 7.2.5.1.3. By Organization Size
      • 7.2.5.1.4. By Industry
      • 7.2.5.2. India
      • 7.2.5.2.1. By Type
      • 7.2.5.2.2. By Deployment Mode
      • 7.2.5.2.3. By Organization Size
      • 7.2.5.2.4. By Industry
      • 7.2.5.3. Japan
      • 7.2.5.3.1. By Type
      • 7.2.5.3.2. By Deployment Mode
      • 7.2.5.3.3. By Organization Size
      • 7.2.5.3.4. By Industry
      • 7.2.5.4. South Korea
      • 7.2.5.4.1. By Type
      • 7.2.5.4.2. By Deployment Mode
      • 7.2.5.4.3. By Organization Size
      • 7.2.5.4.4. By Industry
      • 7.2.5.5. Australia & New Zealand
      • 7.2.5.5.1. By Type
      • 7.2.5.5.2. By Deployment Mode
      • 7.2.5.5.3. By Organization Size
      • 7.2.5.5.4. By Industry
      • 7.2.5.6. Indonesia
      • 7.2.5.6.1. By Type
      • 7.2.5.6.2. By Deployment Mode
      • 7.2.5.6.3. By Organization Size
      • 7.2.5.6.4. By Industry
      • 7.2.5.7. Malaysia
      • 7.2.5.7.1. By Type
      • 7.2.5.7.2. By Deployment Mode
      • 7.2.5.7.3. By Organization Size
      • 7.2.5.7.4. By Industry
      • 7.2.5.8. Singapore
      • 7.2.5.8.1. By Type
      • 7.2.5.8.2. By Deployment Mode
      • 7.2.5.8.3. By Organization Size
      • 7.2.5.8.4. By Industry
      • 7.2.5.9. Vietnam
      • 7.2.5.9.1. By Type
      • 7.2.5.9.2. By Deployment Mode
      • 7.2.5.9.3. By Organization Size
      • 7.2.5.9.4. By Industry
      • 7.2.5.10. Rest of APAC
      • 7.2.5.10.1. By Type
      • 7.2.5.10.2. By Deployment Mode
      • 7.2.5.10.3. By Organization Size
      • 7.2.5.10.4. By Industry

8. Latin America Conversational Commerce Market

  • 8.1. Market Size & Forecast, 2019-2029
    • 8.1.1. By Value (USD Billion)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Organization Size
    • 8.2.4. By Industry
    • 8.2.5. By Country
      • 8.2.5.1. Brazil
      • 8.2.5.1.1. By Type
      • 8.2.5.1.2. By Deployment Mode
      • 8.2.5.1.3. By Organization Size
      • 8.2.5.1.4. By Industry
      • 8.2.5.2. Mexico
      • 8.2.5.2.1. By Type
      • 8.2.5.2.2. By Deployment Mode
      • 8.2.5.2.3. By Organization Size
      • 8.2.5.2.4. By Industry
      • 8.2.5.3. Argentina
      • 8.2.5.3.1. By Type
      • 8.2.5.3.2. By Deployment Mode
      • 8.2.5.3.3. By Organization Size
      • 8.2.5.3.4. By Industry
      • 8.2.5.4. Peru
      • 8.2.5.4.1. By Type
      • 8.2.5.4.2. By Deployment Mode
      • 8.2.5.4.3. By Organization Size
      • 8.2.5.4.4. By Industry
      • 8.2.5.5. Rest of LATAM
      • 8.2.5.5.1. By Type
      • 8.2.5.5.2. By Deployment Mode
      • 8.2.5.5.3. By Organization Size
      • 8.2.5.5.4. By Industry

9. Middle East & Africa Conversational Commerce Market

  • 9.1. Market Size & Forecast, 2019-2029
    • 9.1.1. By Value (USD Billion)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Organization Size
    • 9.2.4. By Industry
    • 9.2.5. By Country
      • 9.2.5.1. Saudi Arabia
      • 9.2.5.1.1. By Type
      • 9.2.5.1.2. By Deployment Mode
      • 9.2.5.1.3. By Organization Size
      • 9.2.5.1.4. By Industry
      • 9.2.5.2. UAE
      • 9.2.5.2.1. By Type
      • 9.2.5.2.2. By Deployment Mode
      • 9.2.5.2.3. By Organization Size
      • 9.2.5.2.4. By Industry
      • 9.2.5.3. Qatar
      • 9.2.5.3.1. By Type
      • 9.2.5.3.2. By Deployment Mode
      • 9.2.5.3.3. By Organization Size
      • 9.2.5.3.4. By Industry
      • 9.2.5.4. Kuwait
      • 9.2.5.4.1. By Type
      • 9.2.5.4.2. By Deployment Mode
      • 9.2.5.4.3. By Organization Size
      • 9.2.5.4.4. By Industry
      • 9.2.5.5. South Africa
      • 9.2.5.5.1. By Type
      • 9.2.5.5.2. By Deployment Mode
      • 9.2.5.5.3. By Organization Size
      • 9.2.5.5.4. By Industry
      • 9.2.5.6. Nigeria
      • 9.2.5.6.1. By Type
      • 9.2.5.6.2. By Deployment Mode
      • 9.2.5.6.3. By Organization Size
      • 9.2.5.6.4. By Industry
      • 9.2.5.7. Algeria
      • 9.2.5.7.1. By Type
      • 9.2.5.7.2. By Deployment Mode
      • 9.2.5.7.3. By Organization Size
      • 9.2.5.7.4. By Industry
      • 9.2.5.8. Rest of MEA
      • 9.2.5.8.1. By Type
      • 9.2.5.8.2. By Deployment Mode
      • 9.2.5.8.3. By Organization Size
      • 9.2.5.8.4. By Industry

10. Competitive Landscape

  • 10.1. List of Key Players and Their Types
  • 10.2. Global Conversational Commerce Market Share Analysis, 2022
  • 10.3. Competitive Benchmarking, By Operating Parameters
  • 10.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

11. Impact of Covid-19 on Global Conversational Commerce Market

12. Company Profile (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

  • 12.1. Charles GmbH
  • 12.2. Octane AI
  • 12.3. WorkFusion
  • 12.4. Quiq
  • 12.5. SleekFlow
  • 12.6. Cognicor
  • 12.7. Recart
  • 12.8. Via
  • 12.9. GLia
  • 12.10. Action.AI
  • 12.11. Inbenta
  • 12.12. Wizard Commerce
  • 12.13. Webio Ltd
  • 12.14. Take App
  • 12.15. CM.com
  • 12.16. Drift
  • 12.17. Yalo
  • 12.18. LivePerson
  • 12.19. Other Prominent Players

13. Key Strategic Recommendations

14. Research Methodology

  • 14.1. Qualitative Research
    • 14.1.1. Primary & Secondary Research
  • 14.2. Quantitative Research
  • 14.3. Market Breakdown & Data Triangulation
    • 14.3.1. Secondary Research
    • 14.3.2. Primary Research
  • 14.4. Breakdown of Primary Research Respondents, By Region
  • 14.5. Assumptions & Limitations