市場調查報告書
商品編碼
735785

超級市場客戶行動檢測技術:專利分佈情形,品牌的優勢,市場機會分析

Supermarket Customer Behavior Detection Technology: Patent Distribution, Brand Strength, and Market Opportunity Analysis

出版日期: | 出版商: MIC - Market Intelligence & Consulting Institute | 英文 26 Pages | 訂單完成後即時交付

價格
  • 全貌
  • 簡介
  • 目錄
簡介

本報告以超級市場客戶行動的檢測用技術相關的專利申請、研究開發的動向為焦點,使用資料探勘的方法分析近幾年認證的專利 (共505件)的趨勢 - 各國、各領域趨勢,主要技術/相關技術的領域,引用/被引用情形等 - ,提供各領域的研究開發 (R&D)的密度,及主要企業的申請情形 (IBM,Walmart,Amazon),專利申請人/申請數量的趨勢,今後的市場機會、課題等資訊彙整,為您概述為以下內容。

第1章 專利探勘

第2章 專利分析

  • 趨勢分析
    • 專利的分佈趨勢:各國
    • 專利的分佈趨勢:各領域
    • 專利的分佈趨勢:主要技術的情況
    • 專利的分佈趨勢:相關技術的情況
    • 專利的分佈趨勢:各國
    • 交叉分析:主要分析與相關分析與的相關性
  • 研究開發 (R&D) 支援度分析
    • R&D的相對的密度

第3章 市場趨勢分析

  • 主要的專利申請人
    • 趨勢分析:主要技術的情況
    • 趨勢分析:相關技術的情況

第4章 MIC的見解

附錄

  • 用語一覽
  • 企業一覽

分析對象企業

  • Accenture Global Services
  • Alibaba
  • Amazon
  • Apple
  • Catalina Marketing
  • Checkout Holding Corporation
  • CMJ Investments
  • comScore
  • Inc.
  • eBAY
  • Goldman
  • Google
  • IBM
  • JPMorgan Chase Bank
  • Microsoft
  • SONY
  • The Nielsen Company
  • TiVo Inc.
  • Video Mining Corporation
  • Walmart
  • Yaho
目錄
Product Code: NARPT18102601

Abstract

With the growing popularity of e-commerce, online shopping has become a popular shopping method. Despite so, consumers still have a huge demand to shop at physical stores for items such as groceries, frozen food, and beverages. In recent years, the O2O (Online to Offline) commerce is also growing as many online retailers employ the online-to-offline business strategy by offering in-store pick-up services for items purchased online while some large-scale physical retail stores adopt the offline-to-online strategy by allowing customers to place orders online while in stores. The adoption of supermarket customer behavior detection technology will help open a new era for retail businesses and make click-and-mortar retail a reality. This report provides an analysis of supermarket customer behavior detection patent distribution by country and field in terms of patent counts, patent citations, and relative R&D intensity; discovers opportunities and challenges of major assignees such as IBM, Walmart, and Amazon; examines key and relevant technologies pertaining to supermarket customer behavior detection.

Table of Contents

1. Patent Mining

2.Patent Analysis

  • 2.1 Analysis of Trends
    • 2.1.1 Patent Distribution by Country
    • 2.1.2 Patent Distribution by Field
    • 2.1.3 Patent Distribution by Key Technology
    • 2.1.4 Patent Distribution by Relevant Technology
    • 2.1.5 Cross Analysis between Key Technology and Relevant Technology
  • 2.2 R&D Readiness Analysis
    • 2.2.1 Relative R&D Intensity

3. Trend Analysis

  • 3.1 Key Patent Assignees
    • 3.1.1 Analysis of Trends by Key Technology
    • 3.1.2 Analysis of Trends by Relevant Technology

4. MIC Perspectives

Appendix

  • Glossary of Terms
  • List of Companies

List of Tables

  • Table 1 Supermarket Customer Behavior Detection Patents' Key Technology/ Relevant Technology Matrix Analysis
  • Table 2: Supermarket Customer Behavior Detection Patent Assignees and Their Relative R&D Intensity
  • Table 3: Patent Distribution Share of Supermarket Customer Behavior Detection by Key Technology: Major Assignees
  • Table 4: Patent Distribution Share of Supermarket Customer Behavior Detection by Relevant Technology: Major Assignees

List of Figures

  • Figure 1: Supermarket Customer Behavior Detection Patent Counts by Country
  • Figure 2: Supermarket Customer Behavior Detection Patent Distribution Share by Field
  • Figure 3: Supermarket Customer Behavior Detection Patent Distribution Share by Key Technologies: Image Recognition Detection
  • Figure 4: Supermarket Customer Behavior Detection Distribution Share by Key Technologies: Electronic Devices Positioning Detection
  • Figure 5: Supermarket Customer Behavior Detection Distribution Share by Key Technologies: AI-Related
  • Figure 6: Supermarket Customer Behavior Detection Patent Distribution Share by Relevant Technologies

List of Topics

Analysis of 505 patents pertaining to supermarket customer behavior detection technology and includes patent counts by technology field and sector using the data mining technique;

The detailed profile of top 20 assignees and their relative R&D intensity ranking

Trend analysis of the supermarket customer behavior detection technology by country, by field, by sector, by key and relevant technology

Analysis of the developments of major players, including IBM, Walmart, and Amazon

Detailed analysis of patent count/assignee matrix, sorted by key technologies such as Image Recognition Detection, Electronic Devices Positioning Detection, and AI and, by a number of relevant technologies

Companies covered

  • Accenture Global Services
  • Alibaba
  • Amazon
  • Apple
  • Catalina Marketing
  • Checkout Holding Corporation
  • CMJ Investments
  • comScore
  • Inc.
  • eBAY
  • Goldman
  • Google
  • IBM
  • JPMorgan Chase Bank
  • Microsoft
  • Sony
  • The Nielsen Company
  • TiVo Inc.
  • Video Mining Corporation
  • Walmart
  • Yaho