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향후 인스토어 소매 기술 : 도입, 실장, 전략

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

리서치사 Juniper Research
발행일 2018년 09월 상품 코드 564399
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향후 인스토어 소매 기술 : 도입, 실장, 전략 Future In-Store Retail Technologies: Adoption, Implementation & Strategy 2018-2023
발행일 : 2018년 09월 페이지 정보 : 영문

이 페이지에 게재되어 있는 내용은 최신판과 약간 차이가 있을 수 있으므로 영문목차를 함께 참조하여 주시기 바랍니다. 기타 자세한 사항은 문의 바랍니다.

세계의 인스토어 소매 기술 시장을 조사했으며, 주요 인스토어 소매 기술의 종류와 개요, 기술별 현황, 주요 사업자에 의한 도입 사례, 인스톨 기반·하드웨어 매출의 예측 등을 정리하여 전해드립니다.

제공 내용

  • 시장 동향·시장 기회(PDF)
  • 5개년 시장 예측(Excel)

제1장 소매 기술 시장

  • 서론
    • 조사 범위
  • 인스토어 소매의 상황
    • 현재 기술
  • 주요 소비자용 인스토어 소매의 동향
    • 옴니채널 퍼스널라이제이션
    • 온라인-오프라인 소매업체
  • 소매업체의 기술에 대한 대응도
    • 서론
    • 일반 소매업체
    • 식품 및 음료 소매업체
    • 전문 소매업체
  • 요점

제2장 입점 & 추적 기술

  • 서론
  • Wi-Fi 추적
  • 블루투스 비콘
    • 블루투스 게이트웨이로서의 Wi-Fi
    • 비콘의 가상화
    • 인스톨 기반 예측
    • Juniper의 견해
    • 카메라 추적
      • 사례 연구 : JD.com D-Mart Smart Store
    • Juniper의 견해
  • 이용 사례
    • 점포·디스플레이 디자인
    • 관여 & 액세스
    • 자동 결제

제3장 셀렉션 & 서비스 기술

  • 서론
  • AR(증강현실)
    • 광고·마케팅
    • 스마트 미러
    • 제품 정보
    • Juniper의 견해
  • 음성 비서
    • Juniper의 견해
  • RFID
    • 스마트 미러
    • 제품 추적
    • 시장 규모·예측
      • 인스톨 기반
      • RFID 매출
  • 로봇
    • 고객 서비스
    • 인벤토리 체커
    • 키오스크
    • Juniper의 견해
    • 시장 규모·예측
      • 인스톨 기반
      • 하드웨어 매출
  • Wi-Fi
  • 가변적 가격 책정 & 디지털 사이니지
    • 개별 가격 결정(Personalised Pricing)
    • Juniper의 견해
    • 시장 규모·예측
      • 인스톨 기반
      • 하드웨어 매출

제4장 결제 기술

  • 서론
  • 결제 기술
    • NFC 결제
    • QR 코드 결제
    • 셀프 스캐닝 애플리케이션
      • 매출 예측
    • mPOS
    • 스마트 체크아웃
      • 사례 연구 : Focal Systems
      • 시장 규모·예측
    • Juniper의 견해
KSA 18.10.04

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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