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市場調查報告書

物聯網 (IoT) 市場

The Internet of Things

出版商 Juniper Research 商品編碼 245719
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
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物聯網 (IoT) 市場 The Internet of Things
出版日期: 2016年12月14日 內容資訊: 英文
簡介

本報告針對物聯網 (IoT) 未來事業機會展望與收益化可能性進行調查、提供消費者、產業、公共服務IoT主要用途、商業模式、實施與發展策略、主要技術與保全模式、市場規模 (安裝、設備收益、服務收益) 分析、預測、主要業者檔案。

第1部 市場規模、預測

第1章 IoT市場情勢

  • 介紹
  • IoT發展階段
  • IoT定義
  • IoT構成
  • 產業內收購
    • 分析
  • 投資狀況
    • 投資展望(英國、美國、其他地區)
  • 市場動向、成長促進因素、阻礙
    • 2015年後的最新市場原理
    • 最大的阻礙因素

第2章 連結之後

  • 價值鏈:大型策略的IoT
    • 合作是存活的關鍵
    • 商業模式需彈性
    • 需要商業建議
      • 範例分析:Education & Integration
  • IoT大數據
    • 需要等待時間代表電腦計算的極限
      • 範例分析:Rulex - Edge Analytics Disruptor
    • 數據性質表示了最新挑戰課題
      • 記憶資料庫方法
      • 時空基準方法
  • 數據機密保護與隱私
    • 數據機密保護
    • 企業、產業與消費者市場機密保護動向
      • 產業
      • 範例分析:Indegy - 業界破壞者
      • 企業
      • 範例分析:Crossword - 企業破壞者
      • 範例分析:Positive Technologies - 機密保護創新者
      • 消費者
      • 範例分析:Ubunt - 建構創新者
    • 數據隱私
      • 短期:一般數據保護規則(GDPR)
      • 長期:數據個人化
  • 連接性
    • 3GPP錯失良機
  • 第3章 IoT利益相關人士分析
  • 介紹
  • Juniper順位表
    • 阻礙與解說
  • Juniper順位表:評分結果
    • 利益相關人士分類
      • 目前領導者
      • 主要挑戰者
      • 破壞者與模仿者
  • 影響IoT的有力人士
  • 檔案
    • Activity
    • BoldlQ
    • Cisco
    • Exosite
    • GE (General Electric)
    • Gemalto
    • G&D (Giesecke & Devrient)
    • IBM
    • Infobright
    • Particle
    • Rubicon Labs
    • Splunk
      • 企業檔案
      • 經營地區
      • 主要顧客、策略合作
      • 產品、服務
      • Juniper的看法:主要優勢、策略性發展機會

第2部 市場動向、競爭環境

第1章 IoT市場情勢

  • 介紹
  • IoT發展階段
  • IoT (Internet of Things) 定義

第2章 IoT預測摘要

  • 介紹
    • 設備
  • 分類與收益模式
  • 連接機器:摘要
    • 消費者IoT組合
    • 其他IoT組合
    • 整體設備安裝
  • 收益:摘要
    • 硬體收益
    • 軟體收益

第3章 消費者IoT預測

  • 介紹
  • 智慧家庭
    • 現在市場情況
    • 調查方法、前提因素
    • 硬體收益
    • 軟體收益
  • 消費者連結車
    • 現在市場情況
    • 車載市場預測方法
    • 連結車
    • 服務收益
  • 數位與保健
    • 現在市場情況
    • 調查方法、前提因素
    • 硬體收益
    • 服務收益

第4章 產業用IoT預測

  • 介紹
  • 零售
    • 市場狀況
    • 調查方法、前提因素 - RFID
    • 硬體收益 - RFID
    • 硬體收益 - 信標
    • 軟體收益 - RFID
    • 軟體收益 - 信標
  • 商用、產業用大樓
    • 市場狀況
    • 調查方法、前提因素
    • 硬體收益
    • 軟體收益
  • 農業
    • 市場狀況
    • 調查方法、前提因素
    • 硬體收益
    • 軟體收益

第5章 公共服務IoT預測

  • 介紹
  • 智慧路燈
    • 市場狀況
    • 調查方法、前提因素
    • 硬體收益
    • 軟體收益
  • 智慧電網
    • 市場狀況
    • 調查方法、前提因素
    • 硬體收益
    • 軟體收益

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目錄

Overview

Juniper's latest IoT (Internet of Things) research looks deeper into the world of IoT by addressing the ‘what's next?' in terms of moving beyond simply connecting devices. It examines the path to IoT deployments at scale and analyses key emerging trends and future opportunities for service providers.

Juniper's IoT research provides a comprehensive perspective on the three key market segments encompassing IoT applications:

  • Consumer
  • Industrial
  • Public Services

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
  • Service Provider Analysis: In-depth examination of the service provider landscape for IoT, with a focus towards deployments at scale. It analyses:
    • Service provider challenges & strategies
    • Analytics & cybersecurity market dynamics & opportunities
    • Low Power Wide Area business model & viability assessment
  • Interviews with leading players, including:
    • Actility
    • BoldIQ
    • Exosite
    • Gemalto
    • Giesecke & Devrient
    • Indegy
    • Infobright
    • Particle
    • Positive Technologies
    • Rubicon Labs
    • Rulex
  • Juniper Leaderboard: Key player capability and capacity assessment
  • Benchmark Industry Forecasts: Market segment forecasts for IoT adoption, devices, hardware and platform revenue, split by:
    • Consumer
    • Industrial
    • Public Services

Key Questions

  • 1. Which connectivity technologies are expected to play a key role moving forward?
  • 2. How can stakeholders make the most of their connected strategy?
  • 3. Who are the key disruptors in this space, and what strategies are vendors employing?
  • 4. How is the industry expected to develop towards 2021?
  • 5. What is the size of the IoT software platform & hardware spend opportunity?

Companies Referenced

Interviewed: Actility, BoldIQ, Exosite, G&D (Giesecke & Devrient), Gemalto, Indegy, Infobright, Particle, Positive Technologies, Rubicon Labs, Rulex.

Profiled: Actility, BoldIQ, Cisco, Exosite, G&D (Giesecke & Devrient), GE (General Electric), Gemalto, IBM, Infobright, Particle, Rubicon Labs, Splunk.

Case Studied: Canonical, Crossword, Exosite, Indegy, Positive Technologies, Rulex.

Mentioned: 3D Robotics. 3GPP, ABB, Accenture, Acuity Brand, Aeris, Aerospike, Akamai Technologies, Alstom, Altair, Altizon Systems, Amazon, Ambiq Micro, ANSI (American National Standards Institute), Apple, ARM, Arynga, Associated Press, AT&T, Athos, Bat Blue Networks, Baynote, Biotelemetry, Bitfinder, Blue Coat, Boeing, Broadcom Wireless, Brocade, C3 IoT, Canary, Caspida, Chrono Theraputics, Cinterion, Cisco Jasper, Citigroup, Citrix Systems, ClearBlade, CloudFlare, CloudOne, CyberX, Cypress Semiconductor, Dell, Deutsche Telekom, DevicePilot, Dyn, Ecobee, Electric Imp, Emu Analytics, Endeavour, Esri, Estimote, Executive AirShare, Exfo, FAO (Food and Agriculture Organization), Farmer's Edge Laboratories, Farmlogs, Fedem Technology, Fleetmatics, Foxconn, Frost Data Capital, Genband, GlobeAir, Glue, Google, GreenPeak Technologies, Greenwave, HARMAN, Helium, Hitachi, Infoblox, Ingenu, Inmarsat, Intel, Iris Analytics, ITU (International Telecommunication Union), JetSuite, Kepler Communications, Kepware Technologies, Kickstarter, KONUX, KUKA, Leaba Semiconductors, Libelium, LitBit, Logi Analytics, LoRa Alliance, Lunar, Mahindra Comviva, MediaTek, Merlot.aero, Metafor Software, Microsoft, Midea, Mitel, Moody's Analytics, MSCI Index for Emerging Markets, NEMA's (National Electrical Manufacturers Association), Netatmo, NVIDIA, NXP, Oracle, Orange, Otono Networks, Palo Alto Networks, Parker, Philips, Pivotal, PLAT.ONE, Polystar, Publicis Groupe, PubNub, QlikTech, Qorvo, Qualcomm, Quest Technologies, Redcore, Resilient Systems, Ring, Ruckus Wireless, Saft Groupe, Samsung, SAP, Schneider Electric, Siemens, Sigfox, Softbank, Solair, Songas, Sony, Soracom, Swisscom Ventures, Symantec, Synapse, TalkTalk, Tata, Telefónica, Telogis, Texas Instruments, The Weather Company, ThingWorx, Thomas Bravo, Total, TowerSec, Tyco Retail Solutions, Verifone, Verizon, Viavi, Victor, Viget, Vista Equity Partners, VMware, Vodafone, Walmart, Wheaton Franciscan, Wind River, World Bank, Xively, Yogitech, Zara, ZigBee Alliance.

Data & Interactive Forecast

Juniper's Internet of Things 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
    • Consumer Devices
    • All Other IoT Devices
  • Consumer Market
    • Smart Home, Connected Vehicles, Digital Health Monitoring
    • Devices, Software Platform & Hardware Revenue
  • Industrial Market
    • Retail, Connected Buildings, Agriculture
    • Devices, Software Platform & Hardware Revenue
  • Public Services Market
    • Smart Street Lighting, Smart Metering, Smart Grid Distribution Automation
    • Devices, Software Platform & Hardware Revenue
  • Interactive Scenario Tool allowing user the ability to manipulate Juniper's data for 13 different metrics.
  • Access to the full set of forecast data of 182 tables and over 24,000 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 Sizing & Forecasts

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
  • 1.6. Investment Landscape
    • Table 1.6: Selected VC IoT Investments 2016
    • 1.6.1. Investment Outlook
      • i. UK - Brexit
      • ii. US - Economy
      • iiIoTher 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
    • 1.7.2. Overriding Constraints

2. Beyond the Connection

  • 2.1. The Value Chain: Strategies IoT at Scale
    • Figure 2.1: IoT Value Chain
    • 2.1.1. Partnerships are Key to Survival
    • 2.1.2. Business Models Must be Flexible
      • i. Simplification Required
    • 2.1.3. Businesses Need Guidance
      • i. Case Study: Exosite - Education & Integration
  • 2.2. Big Data for IoT
    • 2.2.1. Latency Requirements Mean Computing at the Edge
      • i. Case Study: Rulex- Edge Analytics Disruptor
    • 2.2.2. The Nature of Data Presents New Challenges
      • Figure 2.2: AI Software Agent Components
      • i. In-Memory Database Solutions
      • ii. Spatio-Temporal Solutions
  • 2.3. Data Security & Privacy
    • 2.3.1. Data Security
      • i. Impact of Machine Learning
    • 2.3.2. Security Trends in Enterprise, Industrial & Consumer Markets
      • i. Industry
      • ii. Case Study: Indegy - Industrial Disruptor
      • iii. Enterprise
      • iv. Case Study: Crossword -Enterprise Disruptor
      • v. Case Study: Positive Technologies - Security Innovator
      • vi. Consumer
      • vii. Case Study: Ubuntu - Embedded Innovation
    • 2.3.3. Data Privacy
      • i. Near Term: GDPR (General Data Protection Regulation)
      • ii. Long-Term: Personalisation of Data
  • 2.4. Connectivity
    • i. The 3GPP Misses a Trick

3. IoT Stakeholder Analysis

  • 3.1. Introduction
    • Figure 2.3: LoRaWAN, Sigfox & 3GPP LPWA Overview
  • 3.2. Juniper Leaderboard
    • Table 3.1: IoT Vendor Capability Assessment Criteria
    • 3.2.1. Limitations & Interpretations
  • 3.3. Juniper Leaderboard Scoring Results
    • Table 3.2: Juniper Leaderboard: IoT
    • Figure 3.3: Juniper Leaderboard: IoT
    • 3.3.1. Stakeholder Groupings
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
  • 3.4. IoT Movers & Shakers
  • 3.5. Stakeholder Profiles
    • 3.5.1. Activity
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.5.2. BoldlQ
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.3. Cisco
      • i. Corporate Profile
        • Table 3.4: Cisco Financial Snapshot 2013-2015($m)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.4. Exosite
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.5. GE (General Electric)
      • i. Corporate Profile
        • Table 3.5: GE Financial Snapshot 2013-2015($bn)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.6. Gemalto
      • i. Corporate
        • Table 3.6: Gemalto Financial Snapshot 2014-2015
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.7. G&D (Giesecke & Devrient)
      • i. Corporate Profile
        • Table 3.7: G&D Financial Snapshot 2013-2015(Em)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.8. IBM
      • i. Corporate
        • Table 3.8: IBM Financial Snapshot 2013-2015($m)
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper View: Key Strengths & Development Opportunities
    • 3.5.9. Infobright
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Opportunities
    • 3.5.10. Particle
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.11. Rubicon Labs
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.12. Splunk
      • i. Corporate Profile
        • Table 3.9: Splunk Financial Snapshot 2014-2016($m)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities

Market Trends & Competitive Landscape

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:
  • 1.3. Definition of the Internet of Things
    • 1.3.1. What is a ‘Thing', anyway?
      • Table 1.3: IoT Device Categorisation

2. IoT Forecast Summary

  • 2.1. Introduction
    • 2.1.1. Devices
  • 2.2. Segments & Revenue Model
  • 2.3. Connected Devices Summary
    • 2.3.1. Consumer IoT Units
      • Figure & Table 2.1: Installed Base Consumer IoT Units (m), Split by 8 Key Regions 2016-2021
    • 2.3.2. Other IoT Units
      • Figure & Table 2.2: Other IoT Unit Installed Base (m), Split by 8 Key Regions 2016-2021
    • 2.3.3. Total IoT Installed Base
      • Figure & Table 2.3: Total IoT Unit Installed Base (m), Split by 8 Key Regions 2016-2021
  • 2.4. Revenue Summary
    • 2.4.1. Hardware Revenue
      • Figure & Table 2.4: Annual IoT Unit Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 2.4.2. Software Revenue
      • Figure & Table 2.5: Total Annual IoT Software Revenue ($m), Split by 8 Key Regions 2016-2021

3. Consumer IoT Market Forecasts

  • 3.1. Introduction
  • 3.2. The Smart Home
    • 3.2.1. Current Market State
    • 3.2.2. Methodology & Assumptions
      • Figure 3.1: Smart Home Methodology
    • 3.2.3. Hardware Revenue
      • Figure 3.2: Annual Home Automation Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 3.2.4. Software Revenue
      • Figure & Table 3.3: Annual Home Automation Software Revenue ($m), Split by 8 Key Regions 2016-2021
  • 3.3. Connected Consumer Vehicles
    • 3.3.1. Current Market Status
    • 3.3.2. Telematics Forecast Methodology
      • Figure 3.4: Connected Consumer Vehicles Methodology
    • 3.3.3. Connected Cars
      • Figure & Table 3.5: Total Connected Consumer Vehicles (m), Split by 8 Key Regions 2016-2021
    • 3.3.4. Service Revenue
      • Figure & Table 3.6: Connected Consumer Vehicle Service Revenue ($m), Split by 8 Key Regions 2016-2021
  • 3.4. Digital Healthcare
    • 3.4.1. Current Market Status
    • 3.4.2. Methodology & Assumptions
      • Figure 3.7: Digital Healthcare Forecast Methodology
    • 3.4.3. Hardware Revenue
      • Figure & Table 3.8: Total Digital Health Unit Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 3.4.4. Service Revenue
      • Figure & Table 3.9: Digital Healthcare Annual Service Revenue ($m), Split by 8 Key Regions 2016-2021

4. Industrial IoT Market Forecasts

  • 4.1. Introduction
  • 4.2. Retail
    • 4.2.1. Market Status
    • 4.2.2. Methodology & Assumptions - RFID
      • Figure 4.1: Retail RFID Forecast Methodology
      • Figure 4.2: Retail Bluetooth Beacon Forecast Methodology
    • 4.2.3. Hardware Revenue - RFID
      • Figure & Table 4.3: Annual RFID Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 4.2.4. Hardware Revenue - Beacons
      • Figure & Table 4.4: Annual Bluetooth Beacon Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 4.2.5. Software Revenues - RFID
      • Figure & Table 4.5: Retail RFID Software PIattorm Revenues ($m), Split by 8 Key Regions 2016-2021
    • 4.2.6. Software Revenues - Beacons
      • Figure & Table 4.6: Retail Beacon Software Platform Revenues ($m), Split by 8 Key Regions 2016-2021
  • 4.3. Commercial & Industrial Buildings
    • 4.3.1. Market Status
    • 4.3.2. Methodology & Assumptions
      • Figure 4.7: Commercial &Industrial BEMS Forecast Methodology
    • 4.3.3. Hardware Revenues
      • Figure & Table 4.8: AnnualBEMS Wireless Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 4.3.4. Software Revenues
      • Figure & Table 4.9: Annual BEMS Management Software Revenue ($m), Split by 8 Key Regions 2016-2021
  • 4.4. Agriculture
    • 4.4.1. Market Status
    • 4.4.2. Assumptions & Methodology
      • Figure 4.10: AgriM2M Forecast Methodology
    • 4.4.3. Hardware Revenue
      • Figure & Table 4.11:Annual AgriM2M Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 4.4.4. Software Revenue
      • Figure & Table 4.12: Annual AgriM2M Software Revenue ($m), Split by 8 Key Regions 2016-2021

5. Public Services IoT Market Forecast

  • 5.1. Introduction
  • 5.2. Smart Street Lighting
    • 5.2.1. Market Status
    • 5.2.2. Methodology & Assumption
      • Figure 5.1: Smart Street Lighting Forecast Methodology
    • 5.2.3. Hardware Revenue
      • Figure & Table 5.2: Annual LED Fixture & Sensor Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 5.2.4. Software Revenue
      • Figure &Table 5.3: Annual Smart Street Lighting Software platform Revenue ($m), Split by 8 Key Regions 2016-2021
  • 5.3. Smart Grid
    • 5.3.1. Market Status
      • Figure 5.4: Juniper Strategy Quadrant: Regional Smart Grid Prospects Evaluation
    • 5.3.2. Methodology & Assumptions
      • Figure 5.6: Smart Grid Forecast Methodology
    • 5.3.3. Hardware Revenue
      • Figure & Table 5.7: Annual Smart Grid Distribution Automation Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 5.3.4. Software Revenue
      • Figure 5.8: Annual Smart Grid Distribution Automation Software Platform Revenue ($m), Split by 8 Key Regions 2016-2021
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