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表紙
市場調查報告書

零售及電子商務中AI的全球市場:產業分析,趨勢,市場規模,至2026年的預測

AI in Retail and E-commerce Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2026

出版商 Infinium Global Research (IGR) 商品編碼 1012504
出版日期 內容資訊 英文 100 Pages
商品交期: 最快1-2個工作天內
價格
零售及電子商務中AI的全球市場:產業分析,趨勢,市場規模,至2026年的預測 AI in Retail and E-commerce Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2026
出版日期: 2021年05月01日內容資訊: 英文 100 Pages
簡介

全球零售及電子商務的AI市場,預計從2020年到2026年的預測期間以42.85%的年複合成長率成長。

本報告提供全球零售及電子商務的AI市場的相關調查,市場規模和預測,COVID-19的影響,成長及阻礙因素,機會,各解決方案、用途、終端用戶、地區的市場分析,競爭情形,主要企業的簡介等資訊。

目錄

第1章 序文

  • 報告概要
  • 調查方法
  • 研究途徑

第2章 摘要整理

  • 零售及電子商務的AI市場概況
  • 零售及電子商務的AI市場預測
  • 零售及電子商務的AI市場地區的亮點

第3章 全球零售及電子商務的AI市場概要

  • 簡介
  • 市場動態
    • 成長要素
    • 阻礙因素
    • 市場機會
  • COVID-19對零售及電子商務的AI市場的影響分析
  • 波特的五力分析
  • IGR-成長矩陣分析
    • 各解決方案
    • 各應用領域
    • 各終端用戶
    • 各地區
  • 零售及電子商務的AI市場價值鏈分析

第4章 零售及電子商務的AI市場宏觀指標分析

第5章 各解決方案:全球零售及電子商務的AI市場

  • 客戶洞察、關係管理
  • 個體化產品的建議
  • 價格的最佳化
  • 供應鏈管理、需求計劃
  • 智慧型虛擬助手
  • 視覺搜尋
  • 支付
  • 其他

第6章 各用途:全球零售及電子商務的AI市場

  • 銷售、商品計劃
  • 詐騙、收縮的減少
  • 物流、發送
  • 貿易促進管理
  • 其他

第7章 各終端用戶:全球零售及電子商務的AI市場

  • 實體商店
  • 電子商務商店

第8章 各地區:全球零售及電子商務的AI市場(2020-2026)

  • 北美
    • 各解決方案:零售及電子商務的AI市場
    • 各用途:零售及電子商務的AI市場
    • 各終端用戶:零售及電子商務的AI市場
    • 各國:零售及電子商務的AI市場
  • 歐洲
    • 各解決方案:零售及電子商務的AI市場
    • 各用途:零售及電子商務的AI市場
    • 各終端用戶:零售及電子商務的AI市場
    • 各國:零售及電子商務的AI市場
  • 亞太地區
    • 各解決方案:零售及電子商務的AI市場
    • 各用途:零售及電子商務的AI市場
    • 各終端用戶:零售及電子商務的AI市場
    • 各國:零售及電子商務的AI市場
  • 其他地區
    • 各解決方案:零售及電子商務的AI市場
    • 各用途:零售及電子商務的AI市場
    • 各終端用戶:零售及電子商務的AI市場
    • 小各地區:零售及電子商務的AI市場

第9章 企業簡介和競爭情形

  • 零售及電子商務的AI市場競爭情形
  • 企業概要
    • IBM Corporation
    • SAP SE
    • Microsoft Corporation
    • Amazon.com, Inc.
    • SAS Institute Inc.
    • Alphabet Inc.
    • Versium Analytics Inc.
    • ViSenze Pte Ltd
    • Sentient Technologies Holdings Limited
    • Conversica Inc.
目錄
Product Code: ICT00230

The report on the global AI in Retail and E-commerce Market provides qualitative and quantitative analysis for the period from 2018 to 2026. The report predicts the global AI in Retail and E-commerce Market to grow with a CAGR of 42.85% over the forecast period from 2020-2026. The study on AI in Retail and E-commerce Market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2018 to 2026.

The report on AI in Retail and E-commerce Market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI in Retail and E-commerce Market over the period of 2018 to 2026. Moreover, the report is a collective presentation of primary and secondary research findings.

Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global AI in Retail and E-commerce Market over the period of 2018 to 2026. Further, IGR- Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.

Research Methodology

A) Primary Research

Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include

  • 1. Key Opinion Leaders associated with Infinium Global Research
  • 2. Internal and External subject matter experts
  • 3. Professionals and participants from the industry

Our primary research respondents typically include

  • 1. Executives working with leading companies in the market under review
  • 2. Product/brand/marketing managers
  • 3. CXO level executives
  • 4. Regional/zonal/ country managers
  • 5. Vice President level executives.

B) Secondary Research

Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.

The secondary sources of the data typically include

  • 1. Company reports and publications
  • 2. Government/institutional publications
  • 3. Trade and associations journals
  • 4. Databases such as WTO, OECD, World Bank, and among others.
  • 5. Websites and publications by research agencies

Segment Covered

The global AI in Retail and E-commerce Market is segmented on the basis of solution, application, and end-user.

The Global AI in Retail and E-commerce Market by Solution

  • Customer Insights and Relationship Management
  • Personalized Product Recommendation
  • Price Optimization
  • Supply Chain Management and Demand Planning
  • Intelligent Virtual Assistant
  • Visual Search
  • Payments
  • Others

The Global AI in Retail and E-commerce Market by Application

  • Sales And Merchandise Planning
  • Reduced Fraud and Shrinkage
  • Logistics and Delivery
  • Trade Promotions Management
  • Others

The Global AI in Retail and E-commerce Market by End-user

  • Brick & Mortar Stores
  • E-commerce Stores

Company Profiles

The companies covered in the report include

  • IBM Corporation
  • SAP SE
  • Microsoft Corporation
  • Amazon.com, Inc.
  • SAS Institute Inc.
  • Alphabet Inc.
  • Versium Analytics Inc.
  • ViSenze Pte Ltd
  • Sentient Technologies Holdings Limited
  • Conversica Inc.

What does this Report Deliver?

1. Comprehensive analysis of the global as well as regional markets of the AI in Retail and E-commerce Market.

2. Complete coverage of all the segments in the AI in Retail and E-commerce Market to analyze the trends, developments in the global market and forecast of market size up to 2026.

3. Comprehensive analysis of the companies operating in the global AI in Retail and E-commerce Market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.

4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.

Table of Contents

1. Preface

  • 1.1. Report Description
  • 1.2. Research Methods
  • 1.3. Research Approaches

2. Executive Summary

  • 2.1. AI in Retail and E-commerce Market Highlights
  • 2.2. AI in Retail and E-commerce Market Projection
  • 2.3. AI in Retail and E-commerce Market Regional Highlights

3. Global AI in Retail and E-commerce Market Overview

  • 3.1. Introduction
  • 3.2. Market Dynamics
    • 3.2.1. Drivers
    • 3.2.2. Restraints
    • 3.2.3. Opportunities
  • 3.3. Analysis of COVID-19 impact on the AI in Retail and E-commerce Market
  • 3.4. Porter's Five Forces Analysis
  • 3.5. IGR-Growth Matrix Analysis
    • 3.5.1. IGR-Growth Matrix Analysis by Solution
    • 3.5.2. IGR-Growth Matrix Analysis by Application
    • 3.5.3. IGR-Growth Matrix Analysis by End-user
    • 3.5.4. IGR-Growth Matrix Analysis by Region
  • 3.6. Value Chain Analysis of AI in Retail and E-commerce Market

4. AI in Retail and E-commerce Market Macro Indicator Analysis

5. Global AI in Retail and E-commerce Market by Solution

  • 5.1. Customer Insights And Relationship Management
  • 5.2. Personalized Product Recommendation
  • 5.3. Price Optimization
  • 5.4. Supply Chain Management And Demand Planning
  • 5.5. Intelligent Virtual Assistant
  • 5.6. Visual Search
  • 5.7. Payments
  • 5.8. Others

6. Global AI in Retail and E-commerce Market by Application

  • 6.1. Sales And Merchandise Planning
  • 6.2. Reduced Fraud And Shrinkage
  • 6.3. Logistics And Delivery
  • 6.4. Trade Promotions Management
  • 6.5. Others

7. Global AI in Retail and E-commerce Market by End-user

  • 7.1. Brick & Mortar Stores
  • 7.2. E-commerce Stores

8. Global AI in Retail and E-commerce Market by Region 2020-2026

  • 8.1. North America
    • 8.1.1. North America AI in Retail and E-commerce Market by Solution
    • 8.1.2. North America AI in Retail and E-commerce Market by Application
    • 8.1.3. North America AI in Retail and E-commerce Market by End-user
    • 8.1.4. North America AI in Retail and E-commerce Market by Country
  • 8.2. Europe
    • 8.2.1. Europe AI in Retail and E-commerce Market by Solution
    • 8.2.2. Europe AI in Retail and E-commerce Market by Application
    • 8.2.3. Europe AI in Retail and E-commerce Market by End-user
    • 8.2.4. Europe AI in Retail and E-commerce Market by Country
  • 8.3. Asia-Pacific
    • 8.3.1. Asia-Pacific AI in Retail and E-commerce Market by Solution
    • 8.3.2. Asia-Pacific AI in Retail and E-commerce Market by Application
    • 8.3.3. Asia-Pacific AI in Retail and E-commerce Market by End-user
    • 8.3.4. Asia-Pacific AI in Retail and E-commerce Market by Country
  • 8.4. RoW
    • 8.4.1. RoW AI in Retail and E-commerce Market by Solution
    • 8.4.2. RoW AI in Retail and E-commerce Market by Application
    • 8.4.3. RoW AI in Retail and E-commerce Market by End-user
    • 8.4.4. RoW AI in Retail and E-commerce Market by Sub-region

9. Company Profiles and Competitive Landscape

  • 9.1. Competitive Landscape in the Global AI in Retail and E-commerce Market
  • 9.2. Companies Profiles
    • 9.2.1. IBM Corporation
    • 9.2.2. SAP SE
    • 9.2.3. Microsoft Corporation
    • 9.2.4. Amazon.com, Inc.
    • 9.2.5. SAS Institute Inc.
    • 9.2.6. Alphabet Inc.
    • 9.2.7. Versium Analytics Inc.
    • 9.2.8. ViSenze Pte Ltd
    • 9.2.9. Sentient Technologies Holdings Limited
    • 9.2.10. Conversica Inc.