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将来の店舗内小売技術:導入・実装・戦略

Future In-Store Retail Technologies: Adoption, Implementation & Strategy 2018-2023

発行 Juniper Research 商品コード 564399
出版日 ページ情報 英文
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1GBP=147.59円で換算しております。
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将来の店舗内小売技術:導入・実装・戦略 Future In-Store Retail Technologies: Adoption, Implementation & Strategy 2018-2023
出版日: 2018年09月25日 ページ情報: 英文
概要

当レポートでは、世界の店舗内小売技術の市場を調査し、主な店舗内小売技術の種類と概要、技術区分別の現況、主要事業者による導入事例、インストールベース・ハードウェア収益の予測などをまとめています。

提供内容

  • 市場動向・市場機会 (PDF)
  • 5カ年市場予測 (Excel)

第1章 小売技術市場

  • イントロダクション
    • 調査範囲
  • 店舗内小売の状況
    • 現在の技術
  • 主な消費者向け店舗内小売の動向
    • オムニチャネルパーソナライゼーション
    • オンライン-オフライン小売業者
  • 小売業者の技術への対応度
    • イントロダクション
    • 一般小売業者
    • 食品・飲料小売業者
    • 専門小売業者
  • 要点

第2章 入店&追跡技術

  • イントロダクション
  • Wi-Fiトラッキング
  • Bluetoothビーコン
    • BluetoothゲートウェイとしてのWi-Fi
    • ビーコンの仮想化
    • インストールベースの予測
    • Juniperの見解
    • カメラトラッキング
      • ケーススタディ:JD.com D-Mart Smart Store
    • Juniperの見解
  • 利用事例
    • 店舗・ディスプレイデザイン
    • エンゲージメント&アクセス
    • 自動決済

第3章 セレクション&サービス技術

  • イントロダクション
  • AR (拡張現実)
    • 広告・マーケティング
    • スマートミラー
    • 製品情報
    • Juniperの見解
  • 音声アシスタント
    • Juniperの見解
  • RFID
    • スマートミラー
    • 製品トラッキング
    • 市場規模・予測
      • インストールベース
      • RFID収益
  • ロボット
    • カスタマーサービス
    • インベントリーチェッカー
    • キオスク
    • Juniperの見解
    • 市場規模・予測
      • インストールベース
      • ハードウェア収益
  • Wi-Fi
  • ダイナミックプライシング&デジタルサイネージ
    • パーソナライズドプライシング
    • Juniperの見解
    • 市場規模・予測
      • インストールベース
      • ハードウェア収益

第4章 決済技術

  • イントロダクション
  • 決済技術
    • NFC決済
    • QRコード決済
    • セルフスキャニングアプリケーション
      • 収益予測
    • mPOS
    • スマートチェックアウト
      • ケーススタディ:Focal Systems
      • 市場規模・予測
    • Juniperの見解
目次

Overview

Juniper Research's incisive strategic guide to ‘Future In-Store Retail Technologies’ provides a range of insights for a sector that is increasingly relevant for all forms of retail players.

This research takes an in-depth look at technologies affecting each step of the in-store consumer journey; highlighting where and how they can best be leveraged by retailers and technologies firms in this must-have guide.

This research includes:

  • Market Trends & Opportunities (PDF)
  • 5 Year Market Sizing & Forecast Spreadsheet (Excel)

Key Features

  • Trends Assessment: Examination of the macro trends impacting the whole retail landscape, and what they mean for the future of retail.
  • Retailer Readiness Index: Analysis of the technological preparedness of a wide range of retailers, accompanied by analysis of the in-store technology strategies of the following top retailers:
    • 7-Eleven
    • Aeon
    • Auchan
    • Carrefour
    • Edeka
    • Home Depot
    • IKEA
    • Kroger
    • Lowe's
    • Nordstrom
    • Sephora
    • Target Corporation
    • Tesco
    • Walmart
    • Zara
  • Targeted Technology Analysis: Step-by-step discussion of each stage of the in-store consumer journey, and an evaluation of best practice use of retail technologies at each point.
  • Benchmark Industry Forecasts: 5-year forecasts for in-store retail technologies in terms of consumer adoption, deployment revenues, transaction volume and value, and the monetary impact of these new technologies.

Key Questions

  • What are the cutting-edge retail technologies of today, and how should they be used?
  • Who are the leading retailers when it comes to in-store technology?
  • What impact will these technologies have on the in-store experience?
  • How many places will be deploying these technologies in the coming years?
  • Where are the biggest markets for these technologies?

Companies Referenced

  • Case Studied: Alexa, Focal Systems, JD.com, Rebecca Minkoff.
  • Included in In-Store Retail Positioning Index for General Retailers: Amazon, Auchan, Carrefour, Costco, ito-Yokado, JD.com, Monoprix, Nordstrom, Target Corporation, Waitrose, Walmart.
  • Included in In-Store Retail Positioning Index for Food & Beverage Retailers: 7-Eleven, Aeon, Ahold Delhaize, Albertsons Company, Aldi Group, Edeka Group, Kroger, Lidl, Publix Super Markets, Tesco.
  • Included in In-Store Retail Positioning Index for Specialist Retailers: Best Buy, CVS Health, Home Depot, IKEA, Lowe's, Rebecca Minkoff, Sephora, Warby Parker, Zara.
  • Mentioned: 7-Eleven, Aeon, Alibaba, Amazon, Apple, Auchan, AWS Lambda, Blippar, Bonobos, Carrefour, Casper, Costco, eBay, Edeka Group, Google, Home Depot, IKEA, JD.com, Kroger, Lowe's, Macy's, Microsoft, Missguided, Nordstrom, Rebecca Minkoff, Sears, Sephora, Sainsbury's, Supervalu, Sprouts Farmers Market, Syndeca, Target, Tencent, Tesco, Waitrose, Walmart, Warby Parker, Whole Foods, Zara, ZOLOZ.

Data & Interactive Forecast

Juniper's ‘Future In-store Retail Technologies’ forecast suite includes:

  • Regional data splits for 8 key regions as well as country level splits for:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • US
  • Adoption rates and installed base for:
    • Retail RFID
    • Retail Bluetooth beacons
    • Retail digital signage
    • Retail robots
    • Smart checkouts
    • Checkout apps
  • Shipments and hardware revenues for:
    • Retail RFID
    • Retail Bluetooth beacons
    • Retail digital signage
    • Retail robots
  • Service revenues for:
    • Retail RFID
    • Retail Bluetooth beacons
  • Transaction volume and value for:
    • Scan & Go apps
    • Smart checkouts

Juniper Research's highly granular IFxls (interactive forecast Excels) enable clients to manipulate Juniper's forecast data and charts to test their own assumptions using the Interactive Scenario Tool; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. The Retail Technology Marketplace

  • 1.1. Introduction
    • 1.1.1. Research Scope
      • Figure 1.1: Consumer & In-store Journeys Compared
  • 1.2. Status of In-store Retail
    • 1.2.1. Current Technologies
      • i. Self-checkout
      • ii. Contactless Mobile Payments
      • iii. Click & Collect
      • iv. Bluetooth Beacons
      • v. The Effect of eCommerce
        • Figure 1.2: eCommerce & POS Transaction Value per annum ($m), 2018-2023
        • Figure 1.3: Market Capitalisation Drops for Select US Retailers Following the Announcement of Amazon's Acquisition of Whole Foods on 24 th August 2017
  • 1.3. Key Consumer In-Store Retail Trends
    • 1.3.1. Omnichannel Personalisation
    • 1.3.2. Online-to-Offline Retailers
  • 1.4. Retailer Technological Preparedness
    • 1.4.1. Introduction
      • Figure 1.4: Juniper Retailer In-Store Technology Readiness Index Scoring Criteria
    • 1.4.2. General Retailers
      • Figure 1.5: Juniper Retailer Positioning Index for General Retailers
      • i. General Retailer Evaluation - The Top 5 Most Innovative General Merchandise Retailers
    • 1.4.3. Food & Beverage Retailers
      • Figure 1.6: Juniper Retailer Positioning Index for Food & Beverage Retailers
      • i. Food & Beverage Retailer Evaluation - The Top 5 Most Innovative Food & Beverage Retailers
    • 1.4.4. Specialist Retailers
      • Figure 1.7: Juniper Retailer Positioning Index for Specialist Retailers
      • i. Specialist Retailer Evaluation - The Top 5 Most Innovative Specialist Retailers
  • 1.5. Key Takeaways

2. Store Entry & Tracking Technologies

  • 2.1. Introduction
    • Figure 2.1: Store Entry & Tracking Methods
  • 2.2. Wi-Fi Tracking
  • 2.3. Bluetooth Beacons
    • 2.3.1. Wi-Fi as a Gateway to Bluetooth
    • 2.3.2. Beacon Virtualisation
    • 2.3.3. Bluetooth Beacons Installed Base Forecast
      • Figure & Table 2.2: Total Retail Bluetooth Beacons in Service, Split by 8 Key Regions (m), 2018-2023
    • 2.3.4. Juniper's View
    • 2.3.5. Camera Tracking
      • Case Study: JD.com D-Mart Smart Store
        • Figure 2.3: JD.com's D-Mart Smart Store Traffic Tracking
    • 2.3.6. Juniper's View
  • 2.4. Store Entry & Tracking Use Cases
    • 2.4.1. Store & Display Design
    • 2.4.2. Engagement & Access
      • i. Digital Interactions
      • ii. Online-first Interactions
      • iii. Robots & Assistant Technologies
        • Figure 2.4: Pepper Robot Deployed in Carrefour Supermarket
    • 2.4.3. Automatic Payments

3. Selection & Service Technologies

  • 3.1. Introduction
    • Figure 3.1: Juniper Strategy Quadrant for Selection & Service Technologies
  • 3.2. AR (Augmented Reality)
    • 3.2.1. Advertising & Marketing
    • 3.2.2. Smart Mirrors
      • Figure 3.2: Rebecca Minkoff Smart Mirror Product Search
    • 3.2.3. Product Information
    • 3.2.4. Juniper's View
  • 3.3. Voice Assistants
    • 3.3.1. Juniper's View
  • 3.4. RFID
    • 3.4.1. Smart Mirrors
    • 3.4.2. Product Tracking
    • 3.4.3. Juniper's View
    • 3.4.4. RFID Market Sizing & Forecasts
      • i. Installed Base
        • Figure & Table 3.3: Retail RFID Tags Deployed per annum (m) Split by 8 Key Regions 2018-2023
      • ii. RFID Revenues
        • Figure & Table 3.4: Retail RFID Tags & Systems Spend ($m) Split by 8 Key Regions 2018-2023
  • 3.5. Robots
    • 3.5.1. Customer Service
      • Figure 3.5: LoweBot Touchscreen
    • 3.5.2. Inventory Checkers
    • 3.5.3. Kiosk Retail
      • Figure 3.6: Best Buy's Chloe Robot
    • 3.5.4. Juniper's View
    • 3.5.5. Retail Robots Market Sizing & Forecasts
      • i. Retail Robots Installed Base Forecast
        • Figure & Table 3.7: Number of Retail Robots, Installed Base per annum (000s), Split by 8 Key Regions 2018-2023
      • iii. Retail Robots Hardware Revenues
        • Figure & Table 3.8: Retail Robots Hardware Revenues per annum, split by 8 Key Regions ($m) 2018-2023
  • 3.6. Wi-Fi
  • 3.7. Dynamic Pricing & Digital Signage
    • 3.7.1. Personalised Pricing
    • 3.7.2. Juniper's View
    • 3.7.3. Digital Signage Forecasts
      • i. Digital Signing Installed Base
        • Figure & Table 3.9: Number of Digital Signs, Installed Base per annum (m), 2018-2023
      • ii. Digital Signage Hardware Revenues
        • Figure & Table 3.10: Retail Digital Signage Hardware Revenue per annum ($m), 2018-2023

4. Payment Technologies

  • 4.1. Introduction
    • Figure 4.1: Juniper Strategy Quadrant for Payment Technologies
  • 4.2. Payment Technologies
    • 4.2.1. NFC Payments
    • 4.2.2. QR Code Payment
    • 4.2.3. Self-scanning Apps
      • i. Self-scanning Apps Revenue Forecast
        • Figure & Table 4.2: Annual Retail Revenue Increase Attributable to Checkout Apps ($m), Split by 8 Key Regions, 2018-2023
    • 4.2.4. mPOS
    • 4.2.5. Smart Checkouts
      • Case Study: Focal Systems
      • ii. Smart Checkouts Forecast
        • Figure & Table 4.3: Number of Retail Outlets Adopting Smart Checkout Technologies (000s), Split by 8 Key Regions, 2018-2023
    • 4.2.6. Juniper's View
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