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市場調查報告書

零售的IoT市場

IoT (Internet of Things) 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
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零售的IoT市場 IoT (Internet of Things) in Retail
出版日期: 2017年03月21日 內容資訊: 英文
簡介

本報告提供零售的IoT市場相關調查分析,市場趨勢與競爭情形,5年預測等系統性資訊。

市場趨勢和競爭情形

第1章 IoT市場形勢

  • 簡介
  • IoT的開發階段
  • IoT定義
  • IoT架構
  • 產業收購
  • 投資形勢
  • 市場趨勢,推動因素,阻礙因素

第2章 零售的IoT:市場動態

  • 簡介
  • 零售的IoT之路:策略與趨勢
  • IoT的零售生態系統

第3章 供應商分析:零售IoT平台

  • 簡介
  • Juniper的排行榜
  • 排行榜評分數結果
  • IoT的有勢力者
  • 業者簡介

市場規模與預測

第1章 IoT市場形勢

  • 簡介
  • IoT的開發階段
  • IoT定義

第2章 零售用IoT:市場預測摘要

  • 簡介
  • 平台連線數
  • 硬體設備的收益
  • 軟體的收益
  • 零售用IoT的總收益

第3章 零售用IoT:RFID的預測

  • 簡介
  • 調查手法、前提條件
  • 硬體設備的收益
  • 軟體的收益

第4章 零售用IoT:藍芽 Beacon的預測

  • 簡介
  • 調查手法、前提條件
  • 硬體設備的收益
  • 軟體的收益

第5章 零售用IoT:電子招牌的預測

  • 簡介
  • 調查手法、前提條件
  • 電子招牌的年度出貨數
  • 電子招牌的收益

第6章 零售用IoT:ERP的預測

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

第7章 零售用IoT:軟體平台的預測

  • 簡介
  • 調查手法、前提條件
  • IoT平台的流量
  • 平台的收益
目錄

Juniper's latest IoT (Internet of Things) in Retail research provides a comprehensive analysis of how, and why, the IoT is impacting the retail industry. It examines key emerging trends and future opportunities for customers and service providers alike alongside recommendations for strategy and implementation. Juniper's IoT research provides a comprehensive perspective on the three key retail process channels, looking at deployments in physical, online and urban spaces:

  • Customer Engagement
  • Customer Experience
  • Supply Chain

This research suite comprises:

  • Market Trends & Competitive Landscape (PDF)
  • 5 Year Market Sizing & Forecasts (PDF & Excel)
  • Executive Summary & Core Findings (PDF)

Key Features

  • Sector Dynamics : Detailed analysis of the present market state and future outlook, examining:
    • Merger & acquisition analysis
    • Venture capital investment landscape and future prospects
    • Key trends, emerging market forces and their impact
  • Industry Vertical Analysis : In-depth examination of the retail market in the IoT, with a focus towards use cases and implementation. It analyses:
    • In-store, online, urban and back-office strategies
    • Use cases and benefits
    • Key trends, opportunities and recommendations for end-users
    • Road map and strategy for service providers and end-users
  • Interviews with leading players, including:
    • BoldIQ
    • Exosite
    • Infobright
    • Particle
    • Positive Technologies
    • Rulex
  • Juniper Leaderboard : Key player capability and capacity assessment
  • 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 key trends impacting the market, and how can these be leveraged?
  • 3. How can stakeholders make the most of their connected 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 2021?

Companies Referenced

Interviewed : BoldIQ, Exosite, Infobright, Particle, Positive Technologies, Rulex, Streetline.

Profiled : Carriots, Evrythng, IBM, Intel, LNL Systems, Losant, Mojix, Oracle, RPI (Retail Pro International), Software AG, SpaceTime (SpaceTime Insight), Vitria.

Case Studied : Amazon, M&C Saatchi, Streetline, Zara.

Mentioned : 3D Robotics, 7-Eleven, Accenture, Adidas, Akamai Technologies, Altair, Altizon Systems, Ambiq Micro, Apple, ARM, Arynga, Associated Press, Astronomer, Athos, Avery Dennison, Bank of America, Bat Blue Networks, Baynote, BBC, Bitfinder, Blue Coat, Boyaca, Brands4Friends, Broadcom Wireless, Brocade, C3 IoT, Canary, Capgemini, Chrono Theraputics, Cisco, Clear Channel, CloudFlare, CloudOne, Coin Sciences, Crown Packaging, CyberX, Cypress Semiconductor, Dell, DevicePilot, Differential, Dropbox, Ecobee, Electric Imp, Enel, Ericsson, Esri, Estimote, Facebook, Farmer's Edge Laboratories, Fedem Technology, Fedex, Firebase, Fleetmatics, Footlocker, Fujitsu, Glue, GoFactory, Goldman Sachs, Google, GreenPeak Technologies, Greenwave, Gucci, HARMAN, Helium, Honeywell, HP, Hyperquake, IEEE, Indra, Infoblox, Infosys, Iris Analytics, ITU (International Telecommunication Union), Jasper, JPMorganChase, Kepler Communications , Kik, KONUX, KPMG, KUKA, Leaba Semiconductors, LitBit, Louis Vuitton, Marks & Spencer, Marvell, mcThings, MediaTek, Micros Systems, Microsoft, Midea, Moody's Analytics, Morrison's, NEC, Netatmo, Netsuite, Nokia, NVIDIA, NXP, OpenPicus, Orange, Pandorabots, PayPal, Peninsula Press, PLAT.ONE, Posterscope, Pozuelo de Alarcón, Publicis Groupe SA, PubNub, QlikTech, Qorvo, Qualcomm, R3 Consortium, Rebecca Minkoff, Redcore, Reebok, Resilient Systems, Ring, Rockfish, Ruckus Wireless, Saft Groupe, Samsung, SAP, Schneider Electric, Sharp, Siemens, Sigfox, Skype, Slack, Softbank, Solair, Sony, Soracom, Splunk, Staples, Stripe, Symantec, Target, Telefonica, Telegram, Telogis, Tesco, The Weather Company, Thomas Bravo, TierConnect, Total, TowerSec, Toys 'R' Us, Twilio, Twitter, Twyla, Unatec, Under Armour, Verizon, Vista Equity Partners, VivaKi, Wairbut, WeChat, Yogitech.

Data & Interactive Forecast

Juniper's 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
    • USA
  • 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 user the ability to manipulate Juniper's data for 9 different metrics.
  • Access to the full set of forecast data of 48 tables and over 6314 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

Market Trends & Competitive

1. IoT Market Landscape

  • 1.1 Introduction
    • Figure 1.1: IoT Segment Benefits
  • 1.2 IoT Development Phases
    • Figure 1.2: Juniper Phased Evolution Model: Internet
  • 1.3 Definition of the Internet of Things
    • 1.3.1 What is a 'Thing', anyway?
    • Table 1.3: IoT Device Categorisation
  • 1.4 Framework for the IoT
    • Figure 1.4: IoT Device Framework
  • 1.5 Industry Acquisitions
    • Table 1.5: Selected IoT Acquisitions 2016
    • 1.5.1 Analysis
      • i. Cisco Acquires Jasper
      • ii. Softbank Acquires ARM
      • iii. Symantec Acquires Blue Coat
      • iv. SAP Acquires PLAT .ONE
      • v. Qualcomm Acquires NXP
  • 1.6 Investment Landscape
    • Table 1.6: Selected VC IoT Investments 2016
    • 1.6.1 Investment Outlook
      • i. UK - Brexit
      • ii. US - Economy
      • iii. Other Regions
  • 1.7 Market Trends, Drivers and Constraints
    • Figure 1.7: IoT Market Dynamics: Trends, Drivers & Constraints
    • 1.7.1 Emerging Market Forces Since 2015
      • i. Marching Learning
      • ii. LPWA
      • iii. Spatio-temporal Analytics
      • iv. Cybersecurity Funding
      • v. Edge Analytics
    • 1.7.2 Overriding Constraints
      • i. Project Integration & Complexity
      • ii. Value Proposition
      • iii. Scaling

2. IoT in Retail: Market Dynamics

  • 2.1 Introduction
  • 2.2 The Retail Path to the IoT: Strategies & Trends
    • Figure 2.1: Retail IoT Application Areas
    • 2.2.1 Customer Behaviour
      • i. In-Store
      • ii. Key Trends
      • iii. Online
      • iv. Urban
      • v. Case Study: Streetline
      • vi. Digital Advertising
      • vii. Case Study: M&C Saatchi
    • 2.2.2 Customer Experience
      • i. In-Store
      • ii. Digital Signage/ESL (electronic shelf label)
      • iii. Zero Service Checkout
      • iv. Case Study: Amazon Go
      • Figure 2.2: Amazon Go Entry
      • v. Smart Mirrors
      • vi. Case Study: Rebecca Minkoff
      • vii. Online
      • viii. Chatbots
      • Table 2.3: Selected Chatbot Frameworks
      • ix. Blockchain
    • 2.2.3 Supply Chain
      • i. Case Study: Zara
      • ii. Smart Contracts
      • iii. Case Study: R3 Corda
      • iv. Smart Contract Conclusions
  • 2.3 Retail Ecosystem in the IoT
    • Figure 2.4: Juniper Retail Ecosystem - IoT
    • 2.3.1 Customers: Getting There
      • i. Cybersecurity: Invest Now, or Pay Later
      • ii. Ensure Back End Software is Ready for IoT
      • iii. The First IoT 'Step' Depends on Segmentation
    • 2.3.1 Service Providers: Partnerships are Key to Survival
    • 2.3.2 Service Providers: Business Models Must be Flexible
      • i. Simplification Required
    • 2.3.3 Service Providers: Business Need Guidance

3. Vendor Analysis: Retail IoT Platforms

  • 3.1 Introduction
  • 3.2 Juniper Leaderboard
    • Table 3.1: IoT Vendor Capability Assessment Criteria
  • 3.3 Leaderboard Scoring Results
    • Table 3.2: Juniper Leaderboard: Retail IoT Platforms
    • Figure 3.3: Juniper Leaderboard: IoT Platforms for Retail
    • 3.3.1 Stakeholder Groupings
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
    • 3.3.2 Limitations & Interpretations
  • 3.4 IoT Movers & Shakers
  • 3.5 Vendor Profiles
    • 3.5.1 Carriots
      • 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
    • 3.5.2 Evrything
      • 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
    • 3.5.3 IBM
      • i. Corporate
      • Table 3.4: IBM Financial Snapshot 2014-2016 ($m)
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper View: Key Strengths & Development Opportunities
    • 3.5.4 Intel
      • i. Corporate Profile
      • Table 3.5: Intel Financial Snapshot 2014-2016 ($m)
      • Table 3.6: Intel Retail IoT-Relevant Acquisitions
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.5 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
    • 3.5.6 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
    • 3.5.7 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
    • 3.5.8 Oracle
      • i. Corporate Profile
      • Table 3.7: Oracle Financial Snapshot 2014-2016 ($m)
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.9 RPI (Retail Pro International)
      • i. Corporate Profile
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.10 Software AG
      • i. Corporate Profile
      • Table 3.8: Software AG Financial Snapshot 2014-2016 ($m)
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.11 SpaceTime (SpaceTime Insight)
      • i. Corporate Profile
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.12 Vitria
      • i. Corporate Profile
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities

Market Sizing Forecast

1. IoT Market Landscape

  • 1.1 Introduction
    • Figure 1.1: IoT Segment Benefits
  • 1.2 IoT Development Phases
    • Figure 1.2: Juniper Phased Evolution Model: Internet
  • 1.3 Definition of the Internet of Things
    • 1.3.1 What is a 'Thing', anyway?
    • Table 1.3: IoT Device Categorisation

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 8Key Regions 2016-2021
  • 2.3 Hardware Revenues
    • Figure & Table 2.2: Total Annual Retail IoT Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
  • 2.4 Software Revenues
    • Figure & Table 2.3: Total Annual Retail IoT Software Revenue ($m), Split by Segment 2016-2021
  • 2.5 Total Retail IoT revenues
    • Figure & Table 2.4: Total Annual Retail IoT Hardware & Software Revenue ($m), Split by 8 Key Regions 2016-2021

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 2016-2021
  • 3.4 Software Revenues - RFID
    • Figure & Table 3.3: Annual Retail RFID Software Platform Revenues (4m), Split by 8 Key Regions 2016-2021

4. Retail IoT: Bluetooth Beacon Forecasts

  • 4.1 Introduction
  • 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 ($m), Split by 8 Key Regions 2016-2021
  • 4.4 Software Revenues - Beacons
    • Figure & Table 4.3: Annual Retail Beacon Software Platform Revenues ($m), Split by 8 Key Regions 2016-2021

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 2016-2021
  • 5.4 Digital Signage Revenues
    • Figure & Table 5.3: Global Connected Digital Sign Hardware Revenue ($M), Split by 8 Key Regions 2016-2021

6. Retail IoT: ERP Forecasts

  • 6.1 Introduction
  • 6.2 Methodology & Assumption
    • 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 2016-2021
  • 6.4 ERP Revenues
    • Figure & Table 6.3: Annual Retail Spend for Next-Gen Supply Chain ERP Solutions ($m), Split by 8 Key Regions 2016-2021

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 2016-2021
  • 7.4 Platform Revenues
    • Figure & Table 7.3: Total Annual IoT Platform Revenue ($m), Split by 8 Key Regions 2016-2021
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