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市場調查報告書

平台供應商導向IoT市場

The Internet of Things For Platform Providers

出版商 Juniper Research 商品編碼 422972
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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平台供應商導向IoT市場 The Internet of Things For Platform Providers
出版日期: 2017年01月23日 內容資訊: 英文
簡介

本報告提供平台供應商導向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 超越連接:IoT平台策略

  • 價值鏈
  • IoT用巨量資料
  • 連接性

第3章 IoT相關利益者分析

  • 簡介
  • Juniper的排行榜
  • Juniper的排行榜評分數結果
  • IoT的有影響力的人士
  • 相關利益者簡介

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 IoT的預測摘要

  • 簡介
  • 市場區隔、收益模式
  • 連接設備摘要
  • 收益摘要

第3章 消費者取向IoT市場預測

  • 簡介
  • 智慧家庭
  • 消費者取向聯網汽車
  • 數位醫療保健

第4章 工業IoT市場預測

  • 簡介
  • 零售
  • 工商業大樓
  • 農業

第5章 公共服務用IoT市場預測

  • 簡介
  • 智慧路燈
  • 智慧電網
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
  • Platform 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 opportunities & Big Data 2.0 requirements
    • Low Power Wide Area connectivity 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. What is the size of the IoT software platform & hardware spend opportunity?
  • 2. How can platform service providers address the challenges of IoT deployments at scale
  • 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. Which connectivity technologies are expected to play a key role moving forward?

Companies Referenced

Interviewed: Actility, BoldIQ, Exosite, G&D (Giesecke & Devrient), Gemalto, Infobright, Particle, Rulex.

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

Case Studied: Exosite, 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, Heroku, Hitachi, Infoblox, Ingenu, Inmarsat, Intel, Iris Analytics, ITU (International Telecommunication Union), JetSuite, Kepler Communications, Kepware Technologies, Kickstarter, KONUX, KUKA, Leaba Semiconductors, Libelium, LitBit, LogMeIn, Logi Analytics, LoRa Alliance, Lunar, Lutron Electronics, Mahindra Comviva, Marvell, MediaTek, Merlot.aero, Metafor Software, Microsoft, Midea, Mitel, Moody's Analytics, MSCI Index for Emerging Markets, NEMA's (National Electrical Manufacturers Association), Netatmo, New England Biolabs, 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, 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 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: 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
      • 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
    • 1.7.2. Overriding Constraints

2. Beyond the Connection: IoT Platform Strategies at Scale

  • 2.1. The Value Chain
    • Figure 2.1:IoT Value Chain
    • 2.1.1. Partnerships are Key to Survival
    • 2.1.2. Business Models Must be FIexible
      • 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. Connectivity
    • i. The 3GPP Misses a Trick
      • Figure 2.3: LoRaWAN, Sigfox & 3GPP LPWA Overview

3. IoT Stakeholder Analysis

  • 3.1. Introduction
  • 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 0fierings
      • 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 201 3-2015 (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 ($m)
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT 0fierings
      • v. Juniper View: Key Strengths & Development Opportunities
    • 3.5.9. Infobright
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Opportunities
    • 3.5.10. Particle
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.11. Splunk
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT 0fierings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.10. Particle
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of IoT 0fierings
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 3.5.11. Splunk
      • i. Corporate Profile
        • Table 3.9: Splunk Financial Snapshot 2014-2016 ($m)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.12. Xively
      • i. Corporate Profile
        • Figure 3.10: LogMeln Financial Snapshot ($m) 2013-2015
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities

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

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

4. Industrial IoT Market Forecasts

  • 4.1. Introduction
    • Figure & Table 3.9: Digital Healthcare Annual Service Revenue ($m), Split by 8 Key Regions 2016-2021
  • 4.2. Retail
    • 4.2.1. Market Status
    • 4.2.2. Methodology & Assumptions - RFID
      • Figure 4.1: Retail RFID Forecast Methodology
      • Figure 4.2: Retail Bluetooth Beacon Forecast Methodology
    • 4.2.3. Hardware Revenue - RFID
      • Figure & Table 4.3: Annual RFID Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 4.2.4. Hardware Revenue - Beacons
      • Figure & Table 4.4: Annual Bluetooth Beacon Hardware Revenue ($m), Split by 8 Key Regions 2016-2021
    • 4.2.5. Software Revenues - RFID
      • Figure & Table 4.5: Retail RFID Software Platform Revenues ($m), Split by 8 Key Regions 2016-2021
    • 4.2.6. Software Revenues - Beacons
      • Figure & Table 4.6: Retail Beacon Software Platform Revenues ($m), Split by 8 Key Regions 2016-2021
  • 4.3. Commercial & Industrial Buildings
    • 4.3.1. Market Status
    • 4.3.2. Methodology & Assumptions
      • Figure 4.7: Commercial & Industrial BEMS Forecast Methodology
    • 4.3.3. Hardware Revenues
      • Figure & Table 4.8: Annual BEMS Wireless Hardware Revenue ($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 4.1 2: 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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