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對話式商務市場 - 全球規模、佔有率、趨勢分析、機會、預測報告，2019-2029
市場調查報告書
商品編碼
1364747

對話式商務市場 - 全球規模、佔有率、趨勢分析、機會、預測報告，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個工作天內

價格
簡介目錄

全球會話商務市場規模成長 3.4 倍，複合年複合成長率穩定在 24%，到 2029 年將達到 376.4 億美元

由於人工智慧 (AI) 的日益普及以及客戶對便利性和個人化的需求，全球會話商務市場正在蓬勃發展。

領先的策略諮詢和市場研究公司 BlueWeave Consulting 在最近的一項研究中估計，2022 年全球會話商務市場規模將達到 103.4 億美元。 BlueWeave 預測，在 2023 年至 2029 年的預測期內，全球會話商務市場規模將以 24.03% 的年複合成長率穩步成長，到 2029 年將達到 376.4 億美元的規模。全球對話商務市場的主要成長促進因素包括該領域技術創新水準的提升。人工智慧 (AI) 和機器學習 (ML) 的出現使企業能夠開發高度複雜的聊天機器人，能夠理解並有效回應客戶的聯絡方式。此外，這些系統與個人化產品推薦和促銷激勵措施相結合，可促進快速且有針對性的客戶服務。此外，公司營運的競爭形勢正在推動對話式商務的成長。隨著電子商務平台的普及和線上市場的擴張，企業正在積極尋求創新方式來自家公司，並為客戶提供更具吸引力的購物體驗。對話式商務正在成為企業透過提供個人化和互動式互動來從競爭中脫穎而出並吸引更多客戶的解決方案。然而，對聊天機器人缺乏信任以及與人類的互動有限預計將在預測期內抑制整個市場。

該報告的詳細分析提供了有關全球會話商務市場的成長潛力、未來趨勢和統計數據的資訊。我們也研究了推動市場總規模預測的要素。該報告提供了全球對話商務市場的最新技術趨勢和業界考察，並承諾幫助決策者做出明智的策略決策。此外，我們也分析了市場的成長促進因素、挑戰和競爭力。

目錄

第1章 研究框架

第2章 執行摘要

第3章 全球會話商務市場洞察

  • 產業價值鏈分析
  • DROC分析
    • 成長促進因素
      • 擴大人工智慧 (AI) 的採用
      • 客戶對便利性和個人化的需求增加
    • 抑制因素
      • 對聊天機器人缺乏信任
      • 有限的人際關係
    • 機會
      • 全球擴張
      • 跨通路整合
    • 任務
      • 安全和隱私問題
      • 實施障礙
  • 科技進步/最新發展
  • 法律規範
  • 波特五力分析

第4章 全球會話商務市場概述

  • 2019-2029年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按類型
      • 聊天機器人
      • 智慧虛擬助理
    • 依部署方式
      • 本地
      • 雲
    • 按組織規模
      • 主要企業
      • 中小企業
    • 按行業分類
      • BFSI
      • 醫療保健和生命科學
      • 零售與電子商務
      • 資訊科技和通訊
      • 媒體和娛樂
      • 旅遊和招待
      • 其他
    • 按地區
      • 北美洲
      • 歐洲
      • 亞太地區 (APAC)
      • 拉丁美洲 (LATAM)
      • 中東和非洲 (MEA)

第5章 北美會話商務市場

  • 2019-2029年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按類型
    • 依部署方式
    • 按組織規模
    • 按行業分類
    • 按國家/地區
      • 美國
      • 加拿大

第6章 歐洲會話商務市場

  • 2019-2029年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按類型
    • 依部署方式
    • 按組織規模
    • 按行業分類
    • 按國家/地區
      • 德國
      • 英國
      • 義大利
      • 法國
      • 西班牙
      • 比利時
      • 俄羅斯
      • 荷蘭
      • 其他歐洲國家

第7章 亞太會話商務市場

  • 2019-2029年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按類型
    • 依部署方式
    • 按組織規模
    • 按行業分類
    • 按國家/地區
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳洲和紐西蘭
      • 印尼
      • 馬來西亞
      • 新加坡
      • 越南
      • 亞太地區其他國家

第8章 拉丁美洲會話商務市場

  • 2019-2029年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按類型
    • 依部署方式
    • 按組織規模
    • 按行業分類
    • 按國家/地區
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘魯
      • 拉丁美洲其他地區

第9章 中東和非洲會話商務市場

  • 2019-2029年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按類型
    • 依部署方式
    • 按組織規模
    • 按行業分類
    • 按國家/地區
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 科威特
      • 南非
      • 奈及利亞
      • 阿爾及利亞
      • MEA 的其餘部分

第10章 競爭形勢

  • 主要參與者及其類型列表
  • 2022 年全球會話商務市場佔有率分析
  • 透過管理參數進行競爭基準化分析
  • 主要策略發展（合併、收購、合作夥伴關係等）

第11章新型冠狀病毒肺炎（COVID-19）對全球會話商務市場的影響

12：公司簡介（公司簡介、財務矩陣、競爭形勢、關鍵人員、主要競爭、聯絡地址、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
  • 其他主要企業

第13章關鍵戰略建議

第14章調查方法

簡介目錄
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