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市场调查报告书
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1604529

电子商务人工智慧市场：未来预测（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个工作天内

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简介目录

电子商务市场的人工智慧预计将以 15.70% 的复合年增长率成长，市场规模从 2024 年的 78.86 亿美元增至 2029 年的 145.2 亿美元。

电子商务中的人工智慧是指利用人工智慧技术和技术来改善个人或组织的网路购物体验、流程和结果。人工智慧电子商务的主要特征包括以客户为中心、聊天机器人和虚拟助理、预测和动态定价。它还根据客户偏好和行为模式为电子商务公司提供有针对性的内容、广告和行销媒体建议，确保更好的客户参与。

智慧虚拟代理 (IVA) 是一种聊天机器人或语音助理设备，可协助顾客关怀负责人回应客户询问、执行产品搜寻并在整个客户旅程中增强相互沟通。这可以增强客户旅程，缩短週转时间，并降低电子商务业务的成本。人工智慧（AI）中的图形和预测分析涉及财务和人力资源管理会计中的需求预测、电子商务行业中的供应链流程控制和风险管理以及与销售相关的统计收集和分析。

此外，历史资料和产业趋势可以帮助电商企业避免因缺货而造成的损失。电子商务 AI 解决方案可简化组织内的流程、改善客户体验并加速竞争激烈的网路环境中的开发。透过这种方式，电子商务彻底改变了商业运作方式并培养了创造力。

电子商务人工智慧市场的驱动力

  • 个人化购物体验的增加将有助于电子商务人工智慧市场的成长

人工智慧建议引擎可以使用您和其他人的资料和行为向您推荐产品。这会增加用户互动和购买率。独家购物体验在电子商务人工智慧市场的成长中发挥着重要作用，可提高客户参与度、转换率和对特定品牌的忠诚度。例如，ZBrain是业界最重要和差异化的产品之一，是一个全面的生成式人工智慧系统，用于从头开始建立基于LLM的企业应用程式。 ZBrain 解决方案的实际实施可以透过执行多项任务、增强客户互动和製定策略决策来促进流程。

此外，电子商务人工智慧可以透过增强有针对性的个人化购物体验来提高客户满意度、提高购买率并扩大整个行业。随着技术的变革，电子商务的个人化可能会变得更具战术性，因为线上消费者期望获得更专业和相关的服务。

电子商务人工智慧市场的地域展望

  • 北美地区将在预测期内实现指数级增长

北美市场预计将占据最大份额，因为该市场以其以技术为导向和创造性的商业文化而闻名。北美是 IBM、 销售团队、Meta 和 Google 等大型、快速发展且成熟的公司的所在地。这种环境正在推动包括人工智慧在内的技术在电子商务等各个行业的成长和使用。北美大陆已经发展了高速互联网等数位基础设施。然而，大多数人在使用智慧型手机和先进的付款方式方面面临挑战。所有这些因素都在推动企业和个人采用人工智慧主导的电子商务系统。

此外，由于其大量的网路购物和快速成长的数位空间，北美在全球电子商务业务中占据最大份额。因此，人工智慧电商解决方案提供商有很多机会进入该地区并主导市场。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业明智以及其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何影响未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、商机评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

分析范围

  • 历史资料与预测（2022-2029）
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 收益成长率与预测分析：按细分市场/地区（按国家）
  • 公司概况（策略、产品、财务资讯、主要趋势等）

电子商务市场的人工智慧分为以下几个部分：

按用途

  • 个人化
  • 客户服务
  • 供应链优化
  • 预防诈欺

依提供方式

  • B2B
  • B2C
  • C2C
  • 全通路

按最终用户

  • 食品/饮料
  • 时尚/服饰
  • 零售业
  • 医疗保健
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 德国
  • 法国
  • 英国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 以色列
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 印尼
  • 台湾
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 分析范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章 分析方法

  • 分析设计
  • 分析过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第六章 电商人工智慧市场：以配送方式

  • 介绍
  • B2B
  • B2C
  • C2C
  • 全通路

第七章 电子商务的人工智慧市场：以最终用户划分

  • 介绍
  • 食品/饮料
  • 时尚/服饰
  • 零售业
  • 医疗保健
  • 其他的

第八章电子商务人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 按用途
    • 依提供方式
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按用途
    • 依提供方式
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按用途
    • 依提供方式
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按用途
    • 依提供方式
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按用途
    • 依提供方式
    • 按最终用户
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • BigCommerce Pty. Ltd
  • Salesforce
  • Appinventiv
  • Kyndru
  • LeewayHertz.
  • Kyndryl
  • AltexSoft
  • Toloka
  • Virto Commerce
简介目录
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