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市場調查報告書
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1604529

電子商務人工智慧市場：未來預測（2024-2029）

AI in e-commerce 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個工作天內

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簡介目錄

電子商務市場的人工智慧預計將以 15.70% 的複合年成長率成長，市場規模從 2024 年的 78.86 億美元增至 2029 年的 145.2 億美元。

電子商務中的人工智慧是指利用人工智慧技術和技術來改善個人或組織的網路購物體驗、流程和結果。人工智慧電子商務的主要特徵包括以客戶為中心、聊天機器人和虛擬助理、預測和動態定價。它還根據客戶偏好和行為模式為電子商務公司提供有針對性的內容、廣告和行銷媒體建議，確保更好的客戶參與。

智慧虛擬代理 (IVA) 是一種聊天機器人或語音助理設備，可協助顧客關懷負責人回應客戶詢問、執行產品搜尋並在整個客戶旅程中增強相互溝通。這可以增強客戶旅程，縮短週轉時間，並降低電子商務業務的成本。人工智慧（AI）中的圖形和預測分析涉及財務和人力資源管理會計中的需求預測、電子商務行業中的供應鏈流程控制和風險管理以及與銷售相關的統計收集和分析。

此外，歷史資料和產業趨勢可以幫助電商企業避免因缺貨而造成的損失。電子商務 AI 解決方案可簡化組織內的流程、改善客戶體驗並加速競爭激烈的網路環境中的開發。透過這種方式，電子商務徹底改變了商業運作方式並培養了創造力。

電子商務人工智慧市場的驅動力

  • 個人化購物體驗的增加將有助於電子商務人工智慧市場的成長

人工智慧建議引擎可以使用您和其他人的資料和行為向您推薦產品。這會增加用戶互動和購買率。獨家購物體驗在電子商務人工智慧市場的成長中發揮著重要作用，可提高客戶參與度、轉換率和對特定品牌的忠誠度。例如，ZBrain是業界最重要和差異化的產品之一，是一個全面的生成式人工智慧系統，用於從頭開始建立基於LLM的企業應用程式。 ZBrain 解決方案的實際實施可以透過執行多項任務、增強客戶互動和製定策略決策來促進流程。

此外，電子商務人工智慧可以透過增強有針對性的個人化購物體驗來提高客戶滿意度、提高購買率並擴大整個行業。隨著技術的變革，電子商務的個人化可能會變得更具戰術性，因為線上消費者期望獲得更專業和相關的服務。

電子商務人工智慧市場的地域展望

  • 北美地區將在預測期內實現指數級成長

北美市場預計將佔據最大佔有率，因為該市場以其以技術為導向和創造性的商業文化而聞名。北美是 IBM、 銷售團隊、Meta 和 Google 等大型、快速發展且成熟的公司的所在地。這種環境正在推動包括人工智慧在內的技術在電子商務等各個行業的成長和使用。北美大陸已經發展了高速網際網路等數位基礎設施。然而，大多數人在使用智慧型手機和先進的付款方式方面面臨挑戰。所有這些因素都在推動企業和個人採用人工智慧主導的電子商務系統。

此外，由於其大量的網路購物和快速成長的數位空間，北美在全球電子商務業務中佔據最大佔有率。因此，人工智慧電商解決方案提供商有很多機會進入該地區並主導市場。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業明智以及其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何影響未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料與預測（2022-2029）
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 收益成長率與預測分析：按細分市場/地區（按國家）
  • 公司概況（策略、產品、財務資訊、主要趨勢等）

電子商務市場的人工智慧分為以下幾個部分：

按用途

  • 個人化
  • 客戶服務
  • 供應鏈最佳化
  • 預防詐欺

依提供方式

  • B2B
  • B2C
  • C2C
  • 全通路

按最終用戶

  • 食品/飲料
  • 時尚/服飾
  • 零售業
  • 醫療保健
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 德國
  • 法國
  • 英國
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 以色列
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 印尼
  • 台灣
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 分析範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章 分析方法

  • 分析設計
  • 分析過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第6章 電商人工智慧市場：以配送方式

  • 介紹
  • B2B
  • B2C
  • C2C
  • 全通路

第7章 電子商務的人工智慧市場：以最終用戶分類

  • 介紹
  • 食品/飲料
  • 時尚/服飾
  • 零售業
  • 醫療保健
  • 其他

第8章電子商務人工智慧市場：按地區

  • 介紹
  • 北美洲
    • 按用途
    • 依提供方式
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按用途
    • 依提供方式
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按用途
    • 依提供方式
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按用途
    • 依提供方式
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按用途
    • 依提供方式
    • 按最終用戶
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第10章 公司簡介

  • BigCommerce Pty. Ltd
  • Salesforce
  • Appinventiv
  • Kyndru
  • LeewayHertz.
  • Kyndryl
  • AltexSoft
  • Toloka
  • Virto Commerce
簡介目錄
Product Code: KSI061616790

The AI in e-commerce market is expected to grow at a CAGR of 15.70%, reaching a market size of US$14.520 billion in 2029 from US$7.886 billion in 2024.

Artificial intelligence in e-commerce refers to the use of AI technologies and techniques to enhance the online shopping experience, process, and outcomes for individuals or organizations. Key features of AI e-commerce include customer centricity, chatbots and virtual assistants, prediction, and dynamic pricing. It also ensures better customer engagement, providing e-commerce firms with specialized recommendations based on content, commercials, and marketing mediums oriented to customers' preferences and behavioral patterns.

Intelligent virtual agents are chatbots and voice self-assist devices that perform many of the functions of a customer care executive, such as addressing customer queries, conducting product searches, and enhancing cross-communication throughout the customer journey. This enhances the customer journey, reduces turnaround times, and lowers costs for e-commerce businesses. Graphics and Predictive Analysis in Artificial Intelligence (AI) is accompanied by predicting financial and human resource management accounting demand, involved supply chain process control and risk management in e-commerce industries, and sales-related statistics collection and analysis.

Moreover, drawing on historical data and trends in the given industry, business enterprises in e-commerce would be able to avoid losses by stocking out products. E-commerce AI solutions streamline processes within the organization, enhance the experience of the clients, and speed up development in the very competitive web environment. Thus, e-commerce revolutionizes the ways of doing business and encourages creativity.

AI in e-commerce market drivers

  • Rising personalized shopping experiences is contributing to the AI in e-commerce market growth

AI recommendation engines can use the data and behavior of the user and other people to recommend products to the users. This leads to increased user interaction and purchase rates. Inordinate shopping experiences play a major part in AI in e-commerce market growth, enhancing customer engagement, conversion, and loyalty for a particular brand. For instance, ZBrain is one of the industry's most significant and differentiating offerings, being a comprehensive generative AI system for building enterprise LLM-based applications from scratch. ZBrain's real-life implementations of solutions can ease processes by carrying out some tasks, enhancing interactions with customers, and making strategic decisions.

Moreover, AI in e-commerce brings higher customer satisfaction, purchase rates, and the industry's expansion as a whole due to enhanced targeted and personalized shopping experience. With technological changes, personalization in e-commerce will become more tactical as online shoppers expect more dedicated and relevant services.

AI in the e-commerce market geographical outlook

  • North America is witnessing exponential growth during the forecast period

North American market is expected to hold the largest share, as it is known for its technology-oriented creative business culture. It is home to some of the most rapidly expanding and existing tech giants, such as IBM, Salesforce, Meta, and Google, to mention a few. Such an environment promotes the growth and utilization of technology, including AI, in various industries such as e-commerce. The continent of North America possesses a well-developed digital infrastructure, such as high-speed internet. Still, a majority of the population is challenged with using smartphones and advanced means of payment. All these factors encourage both businesses and individuals to embrace AI-driven e-commerce systems.

Additionally, North America has a huge chunk of the e-commerce business globally, thanks to the large population that adheres to online shopping and the rapidly growing digital space. This allows several opportunities for AI e-commerce solution providers to enter the region and conquer the market.

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 AI in e-commerce market is analyzed into the following segments:

By Application

  • Personalization
  • Customer Service
  • Supply Chain Optimization
  • Fraud Prevention

By Offering

  • B2B
  • B2C
  • C2C
  • Omnichannel

By End-Users

  • Food and Beverages
  • Fashion & Apparel
  • Retail
  • Healthcare
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • UK
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • 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. AI IN E-COMMERCE MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Personalization
  • 5.3. Customer Service
  • 5.4. Supply Chain Optimization
  • 5.5. Fraud Prevention

6. AI IN E-COMMERCE MARKET BY OFFERING

  • 6.1. Introduction
  • 6.2. B2B
  • 6.3. B2C
  • 6.4. C2C
  • 6.5. Omnichannel

7. AI IN E-COMMERCE MARKET BY END-USERS

  • 7.1. Introduction
  • 7.2. Food and Beverages
  • 7.3. Fashion & Apparel
  • 7.4. Retail
  • 7.5. Healthcare
  • 7.6. Others

8. AI IN E-COMMERCE MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Application
    • 8.2.2. By Offering
    • 8.2.3. By End-Users
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Application
    • 8.3.2. By Offering
    • 8.3.3. By End-Users
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Application
    • 8.4.2. By Offering
    • 8.4.3. By End-Users
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. UK
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Application
    • 8.5.2. By Offering
    • 8.5.3. By End-Users
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Israel
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Application
    • 8.6.2. By Offering
    • 8.6.3. By End-Users
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Taiwan
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. BigCommerce Pty. Ltd
  • 10.2. Salesforce
  • 10.3. Appinventiv
  • 10.4. Kyndru
  • 10.5. LeewayHertz.
  • 10.6. Kyndryl
  • 10.7. AltexSoft
  • 10.8. Toloka
  • 10.9. Virto Commerce