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市場調査レポート

モノのインターネット (IoT) 市場

The Internet of Things

発行 Juniper Research 商品コード 245719
出版日 ページ情報 英文
納期: 即日から翌営業日
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本日の銀行送金レート: 1GBP=146.05円で換算しております。
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モノのインターネット (IoT) 市場 The Internet of Things
出版日: 2016年12月14日 ページ情報: 英文
概要

当レポートでは、モノのインターネット (IoT) の将来の事業機会の展望と収益化の可能性について調査し、消費者・産業・公共サービス向けのIoTの主な用途、ビジネスモデル、実装および発展戦略、主要技術およびセキュリティモデル、市場規模 (インストールベース・デバイス収益・サービス収益など) の分析・予測、主要事業者のプロファイルなどをまとめています。

第1部 市場規模・予測

第1章 IoT市場の情勢

  • イントロダクション
  • IoTの発展段階
  • IoTの定義
  • IoTの枠組み
  • 産業内の買収
    • 分析
  • 投資状況
    • 投資展望(英国、米国、その他の地域)
  • 市場動向・成長推進因子・制約
    • 2015年以降の新たな市場原理
    • 最も大きな制約因子

第2章 接続の彼方に

  • バリューチェーン:大規模の戦略的IoT
    • 提携は生き残りのカギ
    • ビジネスモデルは柔軟に
    • 事業には助言が必要
      • ケースステディ:Education & Integration
  • IoT向けビッグデータ
    • 待ち時間要件はエッジコンピューティングを意味する
      • ケースステディ:Rulex - エッジアナリティクスのディスラプター
    • データの性質が新たな課題を提示
      • インメモリデータベースソリューション
      • 時空基準ソリューション
  • データの機密保護とプライバシー
    • データの機密保護
    • 企業、産業および消費者市場の機密保護動向
      • 産業
      • ケーススタディ:Indegy - 業界ディスラプター(破壊者)
      • 企業
      • ケーススタディ:Crossword - 企業ディスラプター
      • ケーススタディ:Positive Technologies - 機密保護の革新者
      • 消費者
      • ケーススタディ:Ubunt - 組込の革新者
    • データのプライバシー
      • 短期的:一般データ保護規則(GDPR)
      • 長期的:データの個人化
  • 接続性
    • 3GPPは好機を逃す
  • 第3章 IoTステークホルダーの分析
  • イントロダクション
  • Juniperによるリーダーボード(順位表)
    • 制約および 解説
  • Juniperのリーダーボード:採点結果
    • ステークホルダーの分類
      • 既存のリーダー
      • 主要なチャレンジャー
      • ディスラプターおよびエミュレーター
  • IoTに影響を与える有力者
  • ステークホルダーのプロファイル
    • Activity
    • BoldlQ
    • Cisco
    • Exosite
    • GE (General Electric)
    • Gemalto
    • G&D (Giesecke & Devrient)
    • IBM
    • Infobright
    • Particle
    • Rubicon Labs
    • Splunk
      • 企業プロファイル
      • 営業地域
      • 主要顧客・戦略的提携
      • 製品・サービス
      • Juniperの見解:主な強み・戦略的発展機会

第2部 市場動向・競合環境

第1章 IoT市場情勢

  • イントロダクション
  • IoTの発展段階
  • IoT (Internet of Things) の定義

第2章 IoT予測のサマリー

  • イントロダクション
    • デバイス
  • セグメントおよび収益モデル
  • 接続機器:サマリー
    • 消費者向けIoTユニット
    • その他のIoTユニット
    • 全デバイスのインストールベース
  • 収益:サマリー
    • ハードウェアの収益
    • ソフトウェアの収益

第3章 消費者向けIoTの予測

  • イントロダクション
  • スマートホーム
    • 現在の市況
    • 調査手法・前提因子
    • ハードウェアの収益
    • ソフトウェアの収益
  • 消費者向けコネクテッドビークル
    • 現在の市況
    • テレマティクス市場の予測方法
    • コネクテッドカー
    • サービス収益
  • デジタルヘルスケア
    • 現在の市況
    • 調査手法・前提因子
    • ハードウェアの収益
    • サービス収益

第4章 産業用IoTの予測

  • イントロダクション
  • 小売
    • 市場状況
    • 調査手法・前提因子 - RFID
    • ハードウェアの収益 - RFID
    • ハードウェアの収益 - ビーコン
    • ソフトウェアの収益 - RFID
    • ソフトウェアの収益 - ビーコン
  • 商用・産業用ビル
    • 市場状況
    • 調査手法・前提因子
    • ハードウェアの収益
    • ソフトウェアの収益
  • 農業
    • 市場状況
    • 調査手法・前提因子
    • ハードウェアの収益
    • ソフトウェアの収益

第5章 公共サービス向けIoTの予測

  • イントロダクション
  • スマート街灯
    • 市場状況
    • 調査手法・前提因子
    • ハードウェアの収益
    • ソフトウェアの収益
  • スマートグリッド
    • 市場状況
    • 調査手法・前提因子
    • ハードウェアの収益
    • ソフトウェアの収益

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目次

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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