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スーパーマーケット顧客行動検出技術:特許分布状況、ブランドの強み、市場機会の分析

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

発行 MIC - Market Intelligence & Consulting Institute 商品コード 735785
出版日 ページ情報 英文 26 Pages
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スーパーマーケット顧客行動検出技術:特許分布状況、ブランドの強み、市場機会の分析 Supermarket Customer Behavior Detection Technology: Patent Distribution, Brand Strength, and Market Opportunity Analysis
出版日: 2018年10月26日 ページ情報: 英文 26 Pages
概要

当レポートでは、スーパーマーケットでの顧客行動の検出のための技術に関連した特許出願・研究開発の動きに焦点を当てて、近年認証された特許 (全505件) の傾向 - 国別・分野別傾向、主要技術/関連技術の分野、引用/被引用状況など - をデータマイニングの手法を用いて分析すると共に、分野別の研究開発 (R&D) の密度や、主要企業の出願状況 (IBM、Walmart、Amazon)、特許出願人/出願件数の傾向、今後の市場機会・課題といった情報を取りまとめてお届けいたします。

第1章 パテントマイニング

第2章 特許分析

  • 傾向分析
    • 特許の分布傾向:国別
    • 特許の分布傾向:分野別
    • 特許の分布傾向:主要技術の場合
    • 特許の分布傾向:関連技術の場合
    • 特許の分布傾向:国別
    • クロス分析:主要分析と関連分析との相関性
  • 研究開発 (R&D) 対応度の分析
    • R&Dの相対的な密度

第3章 市場動向の分析

  • 主な特許出願人
    • 動向分析:主要技術の場合
    • 動向分析:関連技術の場合

第4章 MICの見解

付録

  • 用語一覧
  • 企業一覧

分析対象企業

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

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
目次
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
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