表紙
市場調查報告書

零售IoT市場

IoT in Retail

出版商 Juniper Research 商品編碼 479751
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
價格
Back to Top
零售IoT市場 IoT in Retail
出版日期: 2018年10月23日內容資訊: 英文
簡介

本報告提供全球零售IoT的市場調查,市場發展的過程,技術引進的現況與展望,生態系統和支援技術,競爭環境與排行榜,主要供應商分析,各技術區分收益、出貨數、連線數等變化和預測等彙整資料。

提供內容

  • 「Deep Dive Strategy & Competition (策略、競爭分析)」(PDF)
  • 「5 Year Deep Dive Data & Forecasting (5年資料、預測)」(PDF、Excel)
  • 「Executive 摘要、Core Findings (摘要整理、主要調查結果)」 (PDF)

「Deep Dive Strategy & Competition (策略、競爭分析)」(PDF)

第1章 IoT市場形勢

  • 簡介
  • IoT的發展的階段
  • IoT定義
  • M&A、投資

第2章 零售的IoT:市場動態

  • 零售朝向IoT的道路:實行方法
  • 技術實行目錄
  • 各國分析
    • 美國
    • 英國
    • 印度
    • 德國
    • 中國

第3章 生態系統和支援技術

  • 生態系統
  • 支援技術
    • 簡介、影響分析熱圖
    • 影響分析:AI
    • 巨量資料
    • 雲端
    • 區塊鏈
    • 邊緣運算
      • 目前引進情形
      • 投資
      • 引進的課題
      • 未來展望

第4章 相關利益者分析、排行榜

  • 簡介
    • 排行榜評分結果
    • 供應商群組
    • 規定、解釋
  • 影響保持者
  • 供應商分析
    • Carriots
    • EVRYTHNG
    • IBM
    • Intel
    • LNL Systems
    • Losant
    • Mojix
    • Nokia Networks
    • Oracle
    • RetailPro
    • Software AG
    • Vitria

「5 Year Deep Dive Data & Forecasting (5年資料、預測)」(PDF、Excel)

第1章 IoT市場環境

第2章 市場預測:摘要

  • 簡介
  • 平台連接台數
  • 硬體設備收益
  • 軟體收益
  • 零售IoT:總收益

第3章 零售IoT:RFID的預測

  • 簡介
  • 調查手法、前提條件
  • 硬體設備收益
  • 軟體收益

第4章 零售IoT:信標的預測

  • 簡介
  • 調查手法、前提條件
  • 硬體設備收益
  • 軟體收益

第5章 零售IoT:數位電子看板的預測

  • 簡介
  • 調查手法、前提條件
  • 年度出貨數
  • 收益

第6章 零售IoT:ERP的預測

  • 簡介
  • 調查手法、前提條件
  • IoT支援ERP的引進數
  • ERP收益

第7章 零售IoT:軟體平台的預測

  • 簡介
  • 調查手法、前提條件
  • IoT平台流量
  • 平台收益

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄

Overview

Juniper's latest ‘IoT (Internet of Things) in Retail’ research offers detailed and highly valuable analysis of how the IoT is being utilised in the retail environment, as well as suggesting how retailers can take advantage of further IoT opportunities. It also shares crucial insights into the future challenges of IoT deployment in retail and how they can be addressed successfully.

Juniper's research provides strategic recommendations and future outlook for retailers and platform providers, covering 3 core areas of IoT retail disruption, including:

  • Customer Engagement
  • Customer Experience
  • Supply Chain

This research suite comprises:

  • Deep Dive Strategy & Competition (PDF)
  • 5 Year Deep Dive Data & Forecasting (PDF & Excel)
  • Executive Summary & Core Findings (PDF)

Key Features

  • IoT in Retail Core Analyses: Strategic analysis, including progress to date and future outlook for a range of technologies in the following areas:
    • Customer Engagement
    • Customer Experience
    • Supply Chain
  • IoT in Retail Technology Implementation Index: In-depth analysis of 17 key technologies for IoT deployment in retail, charting the impact they have had to date and their future prospects.
  • Sector Dynamics: Including country level assessments for key markets, as well as analyses for the supporting technologies which impact the rate of IoT transformation in retail, including:
    • AI
    • Big Data
    • Cloud Computing
    • Blockchain
    • Edge Computing
  • Juniper Leaderboard: 12 IoT retail platform providers compared, scored and positioned on the Juniper Leaderboard matrix, including:
    • Carriots
    • EVRYTHNG
    • IBM
    • Intel
    • LNL Systems
    • Losant
    • Mojix
    • Nokia Networks
    • Oracle
    • RetailPro
    • Software AG
    • Vitria
  • Benchmark Industry Forecasts: Market segment forecasts for IoT adoption, devices, hardware and software revenue, split by:
    • RFID
    • Bluetooth Beacons
    • Digital Signage
    • ERP (Enterprise Resource Planning)
    • IoT Platforms

Key Questions

  • 1. What is the size of the IoT opportunity for retail service providers?
  • 2. What are the most successful IoT approaches in the retail space and how will they fare in the future?
  • 3. How can stakeholders make the most of their IoT strategy?
  • 4. Who are the key disruptors in this space, and what strategies are vendors employing?
  • 5. How is the industry expected to develop towards 2023?

Companies Referenced

  • Interviewed: ADLINK, Gemalto, Rubicon Labs.
  • Profiled: Carriots, EVRYTHNG, IBM, Intel, LNL Systems, Losant, Mojix, Nokia, Oracle, RetailPro, Software AG, Vitria.
  • Case Studied: Carrefour, Mall of America.
  • Mentioned: 7-Eleven, Accenture, Adyen, Alcatel-Lucent, Aldi, Alibaba, Altair, Amazon, Apiary, AppCard, Apple, Arm, Asda, Astronomer, AT&T, Auburn University, Audi, Avanade, Avantos, Avery Dennison, Best Buy, Bosch, Boyaca, Brands4Friends, BT, Canvass Analytics, Capgemini, Catapult Systems, Caterpillar, Cazena, CirrusLabs, Cisco, Cloudera, Cognizant, Comptel, Cumulocity, Current, Cybereason, Daimler, DataScience.com, Deepfield, Dell, Deloitte, Dialog Semiconductor, Didi Chuxing, Differential, Digimarc, eASIC, EDEKA, EE, Enel, Ericsson, Ernst & Young, Esri, Etisalat, Facebook, Flipkart, FlowThings, Footlocker, Foxconn Fujitsu, Gant, Geeks Without Borders, General Electric, Google, GS1, Gucci, Hewlett Packard, Hitachi, Honeywell, Huawei, Hyperquake, IFTTT, Improbable, Indra, Infosys, Interact Lighting, JD.com, JDA, Katerra, KPMG, Kubu Ventures, Lidl, Louis Vuitton, Marmalade, Microsoft, Moat, Modulus, Motorola, NEC, Numerex, NVIDIA, NXP Semiconductors, Ocado, Ofcom, Oniqua, Orange, OSIsoft, Petuum, Philips, PLAT.ONE, Pozuelo de Alarcón, Pricer, Progress, Qualcomm, Qubole, Rebecca Minkoff, Reebok, REWE, Rockfish, Rubikloud Technologies, Sage, Sainsbury's, Salesforce, SAP, Satisfi Labs, Saturn, Schneider Electric, Sharp, Siemens, Sierra Wireless, Sigfox, Silego, SmartLabel, Snapdeal, SoftBank, SpaceTime Insight, SparklineData, Staples, Syntiant, Target, Tele2, Telefonica, Tesco, Thales, The Cloud Networks Limited, TrendMiner, Uber, Unatec, Under Armour, Uptake, Viptela, Vodafone, Volvo, Wairbut, Walmart, WeChat, Wercker, WestRock Company, WhatsApp, WorkSnug, Zappar, Zementis, Zenedge, Zulily.

Data & Interactive Forecast

Juniper's ‘IoT (Internet of Things) in Retail’ forecast suite includes:

  • Forecasts for 8 key regions, as well as 11 countries, including:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • US
  • IoT Devices
    • All connected IoT Retail Units
    • IoT Platform Connected Retail Units
  • RFID
    • Installed Base, Shipments
    • Software & Hardware Revenue
  • Bluetooth Beacons
    • Installed Base, Shipments
    • Software & Hardware Revenue
  • Digital Signage
    • Installed Base, Shipments
    • Hardware Revenue
  • ERP
    • Adoption
    • Software Revenue
  • IoT Platforms
    • Adoption
    • Device Traffic
    • Software Revenue
  • Interactive Scenario Tool allowing users to manipulate Juniper's data for 12 different metrics.
  • Access to the full set of forecast data of 50 tables and over 6,498 datapoints.

Juniper Research's highly granular interactive 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

Deep Dive Strategy & Competition

1. IoT 2018: Investments & Market Movements

  • 1.1. Introduction
  • 1.2. IoT Development Phases
    • Figure 1.1: Juniper Phased Evolution Model: Internet of Things
    • 1.2.1. State of Market Development in the Enterprise & Public Space
  • 1.3. Definition of the Internet of Things
  • 1.4. M&A and Investment Activity
    • 1.4.1. M&A (Mergers & Acquisitions)
    • 1.4.2. Key Investment Activity

2. IoT in Retail Market Dynamics

  • 2.1. The Retail Path to the IoT: Approaches to Implementation
    • Figure 2.1: Retail IoT Application Areas
    • i. Customer Behaviour
    • ii. Customer Experience
    • iii. Supply Chain
  • 2.2. IoT in Retail Technology Implementation Index
    • 2.2.1. Criteria for Implementation Index & Limitations
      • Table 2.2: IoT in Retail Technology Implementation Score Criteria Definitions
      • Table 2.3: IoT in Retail Technology Implementation Index Scores
      • Table 2.4: IoT in Retail Technology Implementation Index Model
      • Figure 2.5: IoT in Retail Technology Implementation Index
    • 2.2.2. Implementation Index Commentary
    • 2.2.3. Acceptance
    • 2.2.4. Maturing
      • Figure 2.6: Number of Digital Assistant-enabled Speakers, Installed Base Per Annum (m), 2014-2018
      • Figure 2.7: Pricer SmartTAG HD Labels
      • Case Study: Carrefour
    • 2.2.5. Focus
      • Figure 2.8: Number of Smartphone Users (m), Split by 8 Key Regions 2018-2023
    • 2.2.6. Inception
      • Figure 2.9: Rebecca Minkoff Smart Mirror Product Search
      • Figure 2.10: Best Buyer's Chloe Robot
      • Figure 2.11: LoweBot Touchscreen
  • 2.3. IoT in Retail Country Analysis
    • 2.3.1. US
      • i. Current Retail Market
        • Figure 2.12: US Retail Sales ($bn) 2007-2017
        • Figure 2.13: Gross Household Disposable Income ($/capita), Split by Selected Countries, 2007-2016
        • Figure 2.14: Amazon North America Segment Revenue ($m) 2012-2017
      • ii. Present Deployment Level
      • iii. Future Outlook
    • 2.3.2. UK
      • i. Current Retail Market
        • Figure 2.15: UK GDP Growth 2008-2017
      • ii. Present Deployment Level
        • Figure 2.16: Tesco Labs IFTTT Applets
      • iii. Future Outlook
    • 2.3.3. India
      • i. Current Retail Market
        • Figure 2.17: India GNI per Capita ($ 2010 Constant) 1990-2016
        • Figure 2.18: Number of Smartphones Installed Base (m) 2011-2018
      • ii. Present Deployment Level
      • iii. Future Outlook
    • 2.3.4. Germany
      • i. Current Retail Market
        • Figure 2.19: German GDP versus Selected European Countries ($bn) 2008-2017
        • Figure 2.20: German Retail Market Turnover (€m) versus eCommerce Percentage of Total (%)
      • ii. Present Deployment Level
      • iii. Future Outlook
    • 2.3.5. China
      • i. Current Retail Market
        • Figure 2.21: China GNI per Capita Growth (%) 2008-2017
      • ii. Present Deployment Level
      • ii. Future Outlook
        • Figure 2.22: Smartphone Installed Base (m) versus Smartphone Penetration (%), China 2011-2018

3. IoT in Retail Ecosystem & Supporting Technologies

  • 3.1. Retail Ecosystem in the IoT
    • Figure 3.1: Juniper Retail Ecosystem
    • 3.1.1. Key Considerations for Retailers
    • 3.1.2. Key Considerations for Platform Providers
  • 3.2. IoT in Retail Supporting Technologies
    • 3.2.1. Introduction & Impact Analysis Heatmap
      • Table 3.2: IoT in Retail Supporting Technologies Impact Analysis Heatmap
      • Table 3.3: Supporting Technologies Heatmap Key
    • 3.2.2. Impact Analysis: AI (Artificial Intelligence)
      • i. Current Deployments
      • ii. Investments
      • iii. Challenges to Adoption
      • iv. Future Outlook
    • 3.2.3. Big Data
      • i. Current Deployments
      • ii. Investments
      • iii. Challenges to Adoption
      • iv. Future Outlook
    • 3.2.4. Cloud
      • i. Current Deployments
      • ii. Investments
      • iii. Challenges to Adoption
      • iv. Future Outlook
    • 3.2.5. Blockchain
      • i. Current Deployments
      • ii. Investments
      • iii. Challenges to Adoption
      • iv. Future Outlook
    • 3.2.6. Edge Computing
      • i. Current Deployments
      • ii. Investments
      • iii. Challenges to Adoption
      • iv. Future Outlook

4. IoT in Retail Stakeholder Analysis & Leaderboar

  • 4.1. Introduction
    • Table 4.1: Vendor Capability Assessment Criteria
    • 4.1.1. Leaderboard Scoring Results
      • Table 4.2: Juniper Leaderboard: IoT in Retail Solutions Vendors
      • Figure 4.3: Juniper Leaderboard: IoT in Retail Solutions Vendors
    • 4.1.2. Vendor Groupings
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
    • 4.1.3. Limitations & Interpretations
  • 4.2. IoT in Retail Movers & Shakers
  • 4.3. Vendor Analysis
    • 4.3.1. Carriots
      • i. Corporate Profile
        • Table 4.4: Altair Engineering Financial Snapshot ($m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iii. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.2. EVRYTHNG
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.3. IBM
      • i. Corporate Profile
        • Table 4.5: IBM Financial Snapshot ($m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.4. Intel
      • i. Corporate Profile
        • Table 4.6: Intel Financial Snapshot ($bn) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.5. LNL Systems
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.6. Losant
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.7. Mojix
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.8. Nokia Networks
      • i. Corporate Profile
        • Table 4.7: Nokia Financial Snapshot ($m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.9. Oracle
      • i. Corporate Profile
        • Table 4.8: Oracle Financial Snapshot ($m) 2016-2018
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.10. RetailPro
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.11. Software AG
      • i. Corporate Profile
        • Table 4.9: Software AG Financial Snapshot ($m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • v. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 4.3.12. Vitria
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities

Deep Dive Data & Forecasting

1. IoT Market Landscape

  • 1.1. Introduction
  • 1.2. IoT Development Phases
    • Figure 1.1: Juniper Phased Evolution Model: Internet of Things

2. Retail IoT: Market Forecast Summary

  • 2.1. Introduction
  • 2.2. Platform Connected Units
    • Figure & Table 2.1: Total Retail IoT Platform Connected Units (m), Split by 8 Key Regions 2018-2023
  • 2.3. Hardware Revenues
    • Figure & Table 2.2: Total Annual Retail IoT Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
  • 2.4. Software Revenues
    • Figure & Table 2.3: Total Annual Retail IoT Software Revenue ($m), Split by Segment 2018-2023
  • 2.5. Total Retail IoT Revenues
    • Figure & Table 2.4: Total Annual Retail IoT Hardware & Software Revenue ($m), Split by 8 Key Regions 2018-2023

3. Retail IoT: RFID Forecasts

  • 3.1. Introduction
  • 3.2. Methodology & Assumptions
    • Figure 3.1: RFID Forecast Methodology
  • 3.3. Hardware Revenue RFID
    • Figure & Table 3.2: Annual RFID Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
  • 3.4. Software Revenues RFID
    • Figure & Table 3.3: Annual Retail RFID Software Platform Revenues ($m), Split by 8 Key Regions 2018-2023

4. Retail IoT: Beacons Forecast

  • 4.1. Introduction
    • 4.1.1. Beacon Virtualisation
  • 4.2. Methodology & Assumptions
    • Figure 4.1: Bluetooth Beacons Forecast Methodology
  • 4.3. Hardware Revenue Beacons
    • Figure & Table 4.2: Annual Bluetooth Beacon Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
  • 4.4. Software Revenues Beacons
    • Figure & Table 4.3: Annual Retail Beacon Software Platform Revenues ($m), Split by 8 Key Regions 2018-2023

5. Retail IoT: Digital Signage Forecasts

  • 5.1. Introduction
  • 5.2. Methodology & Assumptions
    • Figure 5.1: Digital Signage Forecast Methodology
  • 5.3. Digital Signage Annual Shipments
    • Figure & Table 5.2: Annual Digital Sign Shipments (m), Split by 8 Key Regions 2018-2023
  • 5.4. Digital Signage Revenues
    • Figure & Table 5.3: Global Connected Digital Sign Hardware Revenue ($m), Split by 8 Key Regions 2018-2023

6. Retail IoT: ERP Forecasts

  • 6.1. Introduction
  • 6.2. Methodology & Assumptions
    • Figure 6.1: ERP Forecast Methodology
  • 6.3. IoT-ready ERP Adoption
    • Figure & Table 6.2: Total Connected Retailers Adopting Next Gen ERP Software (m), Split by 8 Key Regions 2018-2023
  • 6.4. ERP Revenues
    • Figure & Table 6.3: Annual Retail Spend for Next Gen Supply Chain ERP Solutions ($m), Split by 8 Key Regions 2018-2023

7. Retail IoT: Software Platform Forecasts

  • 7.1. Introduction
  • 7.2. Methodology & Assumptions
    • Figure 7.1: IoT Platform Forecast Methodology
  • 7.3. IoT Platform Traffic
    • Figure & Table 7.2: Annual IoT Platform Device Message Traffic (Tn), Split by 8 Key Regions 2018-2023
  • 7.4. Platform Revenues
    • Figure & Table 7.3: Total Annual IoT Platform Revenue ($m), Split by 8 Key Regions 2018-2023
Back to Top