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사물인터넷(IoT) 시장

The Internet of Things

리서치사 Juniper Research
발행일 2018년 06월 상품 코드 245719
페이지 정보 영문
가격
£ 1,990 ₩ 2,994,400 Web Access - Deep Dive Data & Forecasting (Enterprise Wide License)
£ 1,990 ₩ 2,994,400 Web Access - Deep Dive Strategy & Competition (Enterprise Wide License)
£ 1,990 ₩ 2,994,400 Web Access - Executive Summary & Core Findings (Enterprise Wide License)
£ 2,990 ₩ 4,499,200 Web Access - Full Research Suite: Consumer, Industrial & Public Services 2018-2023 (Enterprise Wide License)


사물인터넷(IoT) 시장 The Internet of Things
발행일 : 2018년 06월 페이지 정보 : 영문

이 페이지에 게재되어 있는 내용은 최신판과 약간 차이가 있을 수 있으므로 영문목차를 함께 참조하여 주시기 바랍니다. 기타 자세한 사항은 문의 바랍니다.

한글목차

사물인터넷(IoT)의 사업 기회 전망과 수익화 가능성에 대해 조사했으며, 소비자·산업·공공 서비스용 IoT의 주요 용도, 비지니스 모델, 구현 및 발전 전략, 주요 기술 및 보안 모델, 시장 규모(설치대수, 디바이스 매출, 서비스 매출 등) 분석과 예측, 주요 사업자 개요 등의 정보를 전해드립니다.

1. 제공 내용

  • Deep Dive Strategy & Competition(전략 및 경쟁 분석 - PDF)
  • 5 Year Deep Dive Data & Forecasting(5개년 시장 예측 - PDF&Excel)
  • Executive Summary & Core Findings(주요 요약 및 주요 조사결과 - PDF)

2. 조사 내용

  • IoT 코어 전략 분석 : 현재 및 향후의 전략, 과제, 접근
    • 사이버 보안
    • 엣지 컴퓨팅
    • LPWAN 기술
    • 비지니스 모델 어프로치
    • 플랫폼 어프로치
    • 공정 자동화
    • 결제 및 이벤트 거래
  • 시장 역학
    • 사용자의 영향
    • 향후 전망
    • 수익 기회
    • 상호운용성
    • 규제
    • 비용 관련 장벽
    • 사용자 경험
    • 에코시스템 대응도
  • Juniper Leaderboard
    • ARM
    • Bosch
    • Cisco
    • General Electric
    • Hitachi
    • IBM
    • Intel
    • Microsoft
    • Nokia
    • Oracle
    • Qualcomm
    • SAP
  • 산업 예측과 벤치마킹
    • 설치대수
    • 출하량
    • 하드웨어 매출
    • 소프트웨어 플랫폼 매출

3. 조사 구분

  • 주요 8개 지역/11개국
    • 캐나다
    • 중국
    • 덴마크
    • 독일
    • 일본
    • 노르웨이
    • 포르투갈
    • 스페인
    • 스웨덴
    • 영국
    • 미국
  • IoT 디바이스
    • 소비자용 디바이스
    • 기타 IoT 디바이스(산업용, 기업용)
  • 소비자 시장
    • 디바이스, 소프트웨어 플랫폼, 하드웨어 매출
    • 스마트홈
    • 커넥티드카(Connected Vehicle)
    • 디지털 헬스 모니터링
  • 산업 시장
    • 디바이스, 소프트웨어 플랫폼, 하드웨어 매출
    • 소매
    • 커넥티드 빌딩
    • 농업
  • 공공 서비스 시장
    • 디바이스, 소프트웨어 플랫폼, 하드웨어 매출
    • 스마트 가로등
    • 스마트 미터링
    • 스마트 그리드 배전 자동화
    • 스마트 교통 관제
    • 스마트 주차
LSH 18.06.19

영문목차

Overview

Juniper's latest ‘Internet of Things’ research provides critical insight into the fast-moving world of the IoT (Internet of Things), with challenge, impact and opportunity analyses on a segment-by-segment basis in tandem with overarching strategic approaches.

Juniper's incisive research provides in-depth analysis of the future outlook for the IoT in terms of business models, service provider opportunities as well as key market forces.

The analysis covers key IoT market segments, including:

  • Consumer
  • Industrial
  • Public Services

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 Core Strategy Analyses: Including current and future strategies, challenges and approaches for:
    • Cybersecurity
    • Edge Computing
    • Low Power Wide Area Network Technologies
    • Business Model Approaches
    • Platform Approaches
    • Process Automation
    • Payment & Event Transactions
  • Sector Dynamics: Analyses for the impact of IoT vertical markets across consumer, industrial and public service segments, aligned with a breakdown of current market trends. The analysis is conducted by:
    • User Impact
    • Future Scale
    • Revenue Opportunity
    • Interoperability
    • Regulation
    • Cost Barriers
    • Quality of User Experience
    • Ecosystem Readiness
  • Juniper Leaderboard: 12 IoT solution vendors compared, scored and positioned on the Juniper Leaderboard matrix, including:
    • ARM
    • Bosch
    • Cisco
    • General Electric
    • Hitachi
    • IBM
    • Intel
    • Microsoft
    • Nokia
    • Oracle
    • Qualcomm
    • SAP
  • Benchmark Industry Forecasts: Market segment forecasts for IoT adoption across consumer, industrial and public services segments, including:
    • Unit installed base
    • Unit shipments
    • Hardware revenues
    • Software Platform Revenues

Key Questions

  • 1. Which verticals in the IoT are poised as high growth markets?
  • 2. How can service providers maximise their offering in an increasingly competitive environment?
  • 3. How must customers approach the IoT in terms of cybersecurity risk management?
  • 4. What factors will drive deployment scale up, and what market challenges remain?
  • 5. What is the size of the IoT hardware and software platform revenue opportunity?

Companies Referenced

  • Interviewed: achelos, ADLINK, Cisco, G&D, Gemalto, Loxone, OpenFog Consortium, Rachio, Rubicon Labs, Vodafone.
  • Profiled: Arm, Bosch, Cisco, GE (General Electric), Hitachi, IBM, Intel, Microsoft, Nokia, Oracle, Qualcomm, SAP.
  • Case Studied: OpenFog Consortium, IoT Alliance, Vodafone.
  • Mentioned: ABB, Accenture, Agile 3 Solutions, Alcatel-Lucent, Alstom SA, Amazon, Antworks, Apiary, Apple, Associated Press, AT&T, Automation Anywhere, Avrio, Baidu, BBC, BitSE, Blue Prism, BNY Mellon, Boeing, Broadcom, BT, Capgemini, Caterpillar, China Unicom, Chronicled, Citrix Systems, Comodo, Comptel, Connode, ConsenSys (Consensus Systems), Cumulocity, Cyber Defense Institute, Cybereason, Dell, Deloitte, Dialog Semiconductor, Didi Chuxing, EDF, Endgame, Equifax, Ericsson, Ethereum, Etisalat, Facebook, FDA (Food and Drug Administration), FitBit, FlowThings, Foxconn, Fujitsu, Globalsat, Google, HERE, Hexadite, HL7 (Health Level Seven International), Honeywell, Huawei, Hyperledger, IEA, IEEE, Ikarus, Improbable, Infosys/EdgeVerve, Ingenu, INRIX, IoT Cybersecurity Alliance, IP Soft, Iris Analytics, Katerra, KPMG, Kryon, KT, L'Oreal, LG, Maluuba, Meridium, Micros Systems, Mizuho Bank, Morrison's, NEC, NEDO (New Energy and Industrial Technology Development Organisation), Neos, Netsuite, NHS, Numerex, NVIDIA, NXP, OXya, Pantascene, Pegasystems, Pentaho, Petuum, Philips, PTC, Quorum, Reliance Energy, Resilient Systems, Roambi, Roost, Samsung, Schneider Electric, Semtech, Sierra Wireless, Sigfox, Silego, SK Telecom, Skuchain, Softbank, Software AG, Songas, Sony, SpaceTime Insight, Stream Technologies, Symantec, Tata, Tech Mahindra, Tele2, Texas Instruments, Thales, The Things Network, Toyota, TP LINK, T-Systems, UiPath, Uplus, Uptake, Verifone, Veritas Capital, Verizon, Viptela, VMWare, Wheaton Franciscan, Wipro, Withings, WorkFusion, Zementis.

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 (Industrial & Enterprise)
  • 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, Smart Traffic Management, Smart Parking
    • Devices, Software Platform & Hardware Revenue
  • Interactive Scenario Tool allowing users to manipulate Juniper's data for 12 different metrics.
  • Access to the full set of forecast data of 116 tables and over 17,000 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

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. Strategies for IoT: Future Outlook

  • 2.1. Introduction
  • 2.2. Security & Privacy
    • 2.2.1. Core Recommendation: Security by Design
    • 2.2.2. Changing Cybersecurity Requirements
      • i. Behavioural Analysis
        • Case Study: Cerber - Evading Machine Learning
    • 2.2.3. Impact of the IoT
    • 2.2.4. The Case for Decentralised Storage
    • 2.2.5. Identity Management
      • i. Weaknesses in Digital Certificates
        • Figure 2.1: Illicit CA Certificate Marketplace
      • ii. The Need for Lifecycle Management
    • 2.2.6. Cybersecurity Legislation
      • Case Study: Internet of Things (IoT) Cybersecurity Improvement Act of 2017
  • 2.3. IoT Scale
    • Figure 2.2: Classic IoT Deployment Architecture
    • 2.3.1. Edge Computing
      • i. Key Impacts
      • ii. Current Landscape
        • Figure 2.3: Edge vs Fog
      • iii. Future Outlook: required Strategic Considerations
        • Case Study: OpenFog Consortium
      • iv. Deployment Models
      • v. Service Models
    • 2.3.2. LPWAN (Low Power Wide Area Network) Connectivity
      • i. NB-IoT (Narrow Band-IoT) Landscape
      • ii. LTE-M Landscape
      • iii. Unlicensed Networks
        • Figure 2.4: Sigfox's Global Coverage
      • iv. Technology Impact Analysis
        • Table 2.5: LPWAN Technology Impact Analysis, Present Landscape
      • v. Future Outlook: Required Strategic Considerations
  • 2.4. Cost & Complexity
    • 2.4.1. ROI (Return on Investment)
      • i. Business Models
        • Case Study: Vodafone IoT
      • ii. Partner Networks
      • iii. Internal Collaboration & Interoperability
    • 2.4.2. Horizontal or Vertical?
  • 2.5. Payments & Events
    • 2.5.1. Automation: Robotic Process Automation
      • Table 2.6: Automation Service Phased Categorisation
      • Table 2.7: Juniper Vendor Positioning Index: Intelligent Automation
      • Figure 2.8: Juniper Vendor Positioning Index: Intelligent Automation
    • 2.5.2. Transaction & Event Authentication
      • i. Are Private Blockchains the Answer?
        • Case Study: IOTA
      • ii. Alternatives to Blockchain

3. The Consumer IoT: Segment Analysis

  • 3.1. Introduction
    • Figure 3.1: A Solution Looking for a Problem: L'Oreal Smart Hairbrush
  • 3.2. Home Automation
    • 3.2.1. Key Trends
  • 3.3. Connected Vehicles
    • 3.3.1. Key Trends
  • 3.4. Digital Health
    • 3.4.1. Key Trends
  • 3.5. Market Impact Analysis
    • Table 3.2: Consumer IoT Impact Assessment Heatmap
    • Table 3.3: Consumer IoT Impact Assessment Heatmap Key
    • 3.5.1. Methodology
      • Table 3.4: Consumer IoT Impact Assessment Methodology

4. Industrial IoT: Segment Analysis

  • 4.1. Introduction
  • 4.2. Retail
    • 4.2.1. Key Trends
  • 4.3. Smart Commercial & Industrial Buildings
    • 4.3.1. Key Trends
  • 4.4. Agriculture
    • 4.4.1. Key Trends
  • 4.5. Market Impact Analysis
    • Table 4.1: Industrial IoT Impact Assessment Heatmap
    • Table 4.2: Industrial IoT Impact Assessment Heatmap Key
    • 4.5.1. Methodology
      • Table 4.3: Industrial IoT Impact Assessment Methodology

5. Public Services IoT: Segment Analysis

  • 5.1. Introduction
  • 5.2. Smart Street Lighting
    • 5.2.1. Key Trends
  • 5.3. Smart Traffic Management & Smart Parking
    • 5.3.1. Key Trends
  • 5.4. Smart Energy
    • 5.4.1. Key Trends
  • 5.5. Market Impact Analysis
    • Table 5.1: Public Services IoT Impact Assessment Heatmap
    • Table 5.2: Public Services IoT Impact Assessment Heatmap Key
    • 5.5.1. Methodology
      • Table 5.3: Public Services IoT Impact Assessment Methodology

6. IoT Stakeholder Analysis

  • 6.1. Introduction
    • Table 6.1: Vendor Capability Assessment Criteria
    • 6.1.1. Leaderboard Scoring Results
      • Table 6.2: Juniper Leaderboard: IoT Solutions Vendors
      • Figure 6.3: Juniper Leaderboard: IoT Solutions Vendors
    • 6.1.2. Vendor Groupings
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
    • 6.1.3. Limitations & Interpretations
  • 6.2. IoT Movers & Shakers
  • 6.3. Vendor Analysis
    • 6.3.1. Arm
      • i. Corporate Profile
        • Table 6.4: Arm Financial Snapshot ($m), 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 6.3.2. Bosch
      • i. Corporate
        • Table 6.5: Bosch Financial Snapshot (€m/$m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Development Opportunities.
    • 6.3.3. Cisco
      • i. Corporate Profile
        • Table 6.6: Cisco Financial Snapshot ($m) FY 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 6.3.4. GE (General Electric)
      • i. Corporate Profile
        • Table 6.7: GE Financial Snapshot ($bn) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View of IoT Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 6.3.5. Hitachi
      • i. Corporate Profile
        • Table 6.8: Hitachi Financial Snapshot (¥bn/$m) 2016-2018
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 6.3.6. IBM
      • i. Corporate Profile
        • Table 6.9: IBM Financial Snapshot ($m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 6.3.7. Intel
      • i. Corporate Profile
        • Table 6.10: Intel Financial Snapshot 2015-2017($m)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 6.3.8. Microsoft
      • i. Corporate Profile
        • Table 6.11: Microsoft Financial Snapshot ($m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 6.3.9. Nokia
      • i. Corporate Profile
        • Table 6.12: Nokia Financial Snapshot (€m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Opportunities
    • 6.3.10. Oracle
      • i. Corporate Profile
        • Table 6.13: Oracle Financial Snapshot ($m) 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Platform Offerings
      • v. Juniper's View: Key Clients & Strategic Partnerships
    • 6.3.11. Qualcomm
      • i. Corporate Profile
        • Table 6.14: Qualcomm Financial Snapshot ($m), 2015-2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 6.3.12. SAP
      • i. Corporate Profile
        • Table 6.15: SAP Financial Snapshot (€m) 2015-2017
      • 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
    • 1.2.1. State of Market Development in the Enterprise & Public Space
  • 1.3. Definition of the Internet of Things

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 2018-2023
    • 2.3.2. Other IoT Units
      • Figure & Table 2.2: Other IoT Unit Installed Base (m), Split by 8 Key Regions 2018-2023
    • 2.3.3. Total IoT Installed Base
      • Figure & Table 2.3: Total IoT Unit Installed Base (m), Split by 8 Key Regions 2018-2023
  • 2.4. Revenue Summary
    • 2.4.1. Hardware Revenue
      • Figure & Table 2.4: Annual IoT Unit Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
    • 2.4.2. Software Revenue
      • Figure & Table 2.5: Total Annual IoT Software Revenue ($m), Split by 8 Key Regions 2018-2023

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 & Table 3.2: Annual Home Automation Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
    • 3.2.4. Software Revenue
      • Figure & Table 3.3: Annual Home Automation Software Revenue ($m), Split by 8 Key Regions 2018-2023
  • 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 2018-2023
    • 3.3.4. Service Revenue
      • Figure & Table 3.6: Connected Consumer Vehicle Service Revenue ($m), Split by 8 Key Regions 2018-2023
  • 3.4. Digital Healthcare
    • 3.4.1. Current Market Status
    • 3.4.2. Methodology & Assumptions
      • Figure 3.7: Digital Healthcare Forecast Methodology
    • 3.4.3. Hardware Revenue
      • Figure & Table 3.8: Total Digital Health Unit Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
    • 3.4.4. Service Revenue
      • Figure & Table 3.9: Digital Healthcare Annual Service Revenue ($m), Split by 8 Key Regions 2018-2023

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 ($m), Split by 8 Key Regions 2018-2023
    • 4.2.4. Hardware Revenue - Beacons
      • Figure & Table 4.4: Annual Bluetooth Beacon Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
    • 4.2.5. Software Revenues - RFID
      • Figure & Table 4.5: Retail RFID Software Platform Revenues ($m), Split by 8 Key Regions 2018-2023
    • 4.2.6. Software Revenues - Beacons
      • Figure & Table 4.6: Retail Beacon Software Platform Revenues ($m), Split by 8 Key Regions 2018-2023
  • 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 ($m), Split by 8 Key Regions 2018-2023
    • 4.3.4. Software Revenues
      • Figure & Table 4.9: Annual BEMS Management Software Revenue ($m), Split 8 Key Regions 2018-2023
  • 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 ($m), Split by 8 Key Regions 2018-2023
    • 4.4.4. Software Revenue
      • Figure & Table 4.12: Annual AgriM2M Software Revenue ($m), Split by 8 Key Regions 2018-2023

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 ($m), Split by 8 Key Regions 2018-2023
    • 5.2.4. Software Revenue
      • Figure &Table 5.3: Annual Smart Street Lighting Software platform Revenue ($m), Split by 8 Key Regions 2018-2023
  • 5.3. Smart Grid
    • 5.3.1. Market Status
    • 5.3.2. Methodology & Assumptions
      • Figure 5.4: Smart Grid Forecast Methodology
    • 5.3.3. Hardware Revenue
      • Figure & Table 5.5: Annual Smart Grid Distribution Automation Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
    • 5.3.4. Software Revenue
      • Figure & Table 5.6: Annual Smart Grid Distribution Automation Software Platform Revenue ($m), Split by 8 Key Regions 2018-2023
  • 5.4. Smart Traffic & Parking
    • 5.4.1. Market Status
    • 5.4.2. Methodology & Assumptions
      • Figure 5.7: Smart Traffic & Parking Methodology
    • 5.4.3. Hardware Revenue
      • Figure & Table 5.8: Annual Smart Traffic & Parking Hardware Revenue ($m), Split by 8 Key Regions 2018-2023
    • 5.4.4. Software Revenue
      • Figure & Table 5.9: Annual Smart Traffic & Parking Software Platform Revenue ($m), Split by 8 Key Regions 2018-2023
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