Cover Image
市場調查報告書

產業用網際網路:朝向第4次工業革命

The Industrial Internet: Towards the 4th Industrial Revolution

出版商 IDATE DigiWorld 商品編碼 361172
出版日期 內容資訊 英文 98 Pages
商品交期: 最快1-2個工作天內
價格
Back to Top
產業用網際網路:朝向第4次工業革命 The Industrial Internet: Towards the 4th Industrial Revolution
出版日期: 2017年05月24日 內容資訊: 英文 98 Pages
簡介

本報告提供產業用網際網路的現象的相關調查,IoT技術的整合帶給產業資產 (智慧工廠) 及最終產品的影響分析,各種垂直產業上創新的經營模式、實例的案例研究相關考察,及產業用網際網路市場參與軌道的主要促進要素、障礙的說明等相關彙整。

第1章 摘要整理

第2章 調查手法

第3章 產業用網際網路的展望

  • 產業用網際網路:產業的連網型物體利用方法
    • 數位轉換策略的主要推動者
    • 生產最佳化:智慧工廠
    • 連網型物體銷售:朝向服務業化 (servicisation)
  • 主要的賦能技術
    • 產業用網際網路的連接性技術
    • 生產的連接工具
    • 連接員工
    • 連接性的理解:資料分析
  • 支援主要趨勢產業用網際網路的展望
    • 國內、國際舉措
    • 社會影響的預測

第4章 價值鏈、主要企業

  • 價值鏈概要
  • 智慧工廠解決方案供應商
    • 感測器、致動器供應商
    • 工業解決方案供應商
  • 主要產業上實施
    • 航空
    • 汽車
    • 能源
    • 運輸
  • 連網型最終產品
    • 飛機
    • 汽車
    • 重機
  • 客戶關係的發展
    • 運輸
    • 醫療
  • Telco (通訊業者) 、平台及IT服務供應商所扮演的角色
    • Telco
    • 平台供應商
    • 服務供應商、IT企業

第5章 產業上產業用網際網路的影響

  • 價值鏈的發展
    • 製造生態系統的轉換
    • 連接性價值鏈的演進
  • 經營模式的發展
    • 製造平台及製造業即服務
    • 個性化產品相關的小型,當地,生產單位
    • 產品即服務
    • 資料收益化
  • 作為產業的數位轉換一部分的連網型物體
    • 製造網域的需求
    • 製造網域的阻礙因素
    • 連網型物體的潛在的引進的展望:各垂直產業

第6章 市場、預測

  • 市場發展要素
    • 促進要素
    • 障礙
  • 市場規模、預測

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄
Product Code: M17350MRA

This report describes the phenomenon of the Industrial Internet.

It provides a general analysis of the trend and specific examples of recent developments in various verticals.

This analysis focuses on the impacts of integrating IoT technologies into industrial assets (the ‘smart factory'), as well as into end products: impacts on the value chain, on existing business models and in new monetisation opportunities.

The report also describes the main drivers and barriers for the take-off of the Industrial Internet market and provides market sizing.

Table of Contents

1. Executive Summary

2. Methodology

3. Visions of the Industrial Internet

  • 3.1. The Industrial Internet: how industry uses connected objects
    • 3.1.1. A key enabler of the digital transformation strategy
    • 3.1.2. Production optimisation: Smart Factory
    • 3.1.3. Selling connected objects: towards servicisation
  • 3.2. Key enabling technologies
    • 3.2.1. Connectivity technologies for the Industrial Internet
    • 3.2.2. Connecting tools of production
    • 3.2.3. Connecting the employees
    • 3.2.4. Making sense of connectivity: Data analytics
  • 3.3. Key trends supporting the vision of an Industrial Internet
    • 3.3.1. National and international initiatives
    • 3.3.2. Anticipated societal impacts

4. Value chain and key players

  • 4.1. Value chain overview
  • 4.2. Smart Factory solution providers
    • 4.2.1. Sensor and actuator providers
    • 4.2.2. Industrial solution providers
  • 4.3. Implementations in selected industries
    • 4.3.1. Aeronautics
    • 4.3.2. Automotive
    • 4.3.3. Energy
    • 4.3.4. Transportation
  • 4.4. Connected end product
    • 4.4.1. Aviation
    • 4.4.2. Automotive
    • 4.4.3. Heavy equipment
  • 4.5. Evolution of customer relationship
    • 4.5.1. Transportation
    • 4.5.2. Healthcare
  • 4.6. The roles of telcos, platforms and IT service providers
    • 4.6.1. Telcos
    • 4.6.2. Platform providers
    • 4.6.3. Service providers and IT players

5. Impacts of the Industrial Internet on industries

  • 5.1. Evolution of value chains
    • 5.1.1. Transformation of the manufacturing ecosystem
    • 5.1.2. Evolution of connectivity value chain
  • 5.2. Business model evolutions
    • 5.2.1. Manufacturing platforms and manufacturing-as-a-service
    • 5.2.2. Smaller, local, production units for personalised products
    • 5.2.3. Product as a service
    • 5.2.4. Data monetisation
  • 5.3. Connected objects as part of digital transformation of industry
    • 5.3.1. Needs of manufacturing domain
    • 5.3.2. Constraints of manufacturing domain
    • 5.3.3. Vision of potential adoption of connected objects by vertical industries

6. Markets and forecasts

  • 6.1. Market development factors
    • 6.1.1. Drivers
    • 6.1.2. Barriers
  • 6.2. Market sizing and forecast

List of Tables

  • Table 1: Mobile technologies specifications
  • Table 2: Key 5G applications on IoT/M2M
  • Table 3: ISM bands sample
  • Table 4: ISM bands analysis (for European region)
  • Table 5: Features of main short-range technologies
  • Table 6: Connecting production tools: technological requirements
  • Table 7: Connecting employees: technological requirements
  • Table 8: Main providers of smart factory solutions
  • Table 9: Main initiatives around the smart factory
  • Table 10: Main initiatives around connected end products
  • Table 11: Main initiatives around innovative pricing schemes
  • Table 12: Main initiatives of Medtronic in connected health market
  • Table 13: MaaS new roles value propositions
  • Table 14: Value propositions, from mass production to personalised product
  • Table 15: Use cases of factors in adoption
  • Table 16: Factors of adoption across industries
  • Table 17: Timeline for adoption in selected vertical industries

List of Figures

  • Figure 1: The IDATE framework for digital transformation
  • Figure 2: Technologies of third wave of digital transformation
  • Figure 3: Smart factory use case
  • Figure 4: Architecture of an M2M solution
  • Figure 5: Landscape of IoT/M2M networking technologies
  • Figure 6: LTE developments to address M2M and IoT
  • Figure 7: Different specifications of LTE versions focused on IoT
  • Figure 8: Scope of 5G
  • Figure 9: Siemens automated factory, in Amberg, Germany
  • Figure 10: The Siemens vision of smart factory convergence
  • Figure 11: Track and Trace IIC Testbed
  • Figure 12: Baxter uncaged robot
  • Figure 13: New Balance shoes with 3D-printed midsoles presented at CES 2016
  • Figure 14: ABB control rooms
  • Figure 15: HTC Vive virtual reality headset
  • Figure 16: Optis HIM VR solution used to validate assembly movements in aerospace industry
  • Figure 17: Augmented Reality deployment at Bechtle
  • Figure 18: Use of big-data analytics in manufacturing
  • Figure 19: Intel production line data analytics setup
  • Figure 20: Overview of European initiatives on digitising industry
  • Figure 21: Increases in productivity in component manufacturing
  • Figure 22: INDUSTRY 4.0 to generate significant productivity gains in Germany
  • Figure 23: Expected gains of digitising industry
  • Figure 24: Impact of automation on the job market
  • Figure 25: Shifts in demand of skills in future manufacturing industries
  • Figure 26: Industrial Internet value chain
  • Figure 27: 2014 ranking of MEMS players
  • Figure 28: TE connectivity positioning in sensors
  • Figure 29: Dassault Systèmes 3DExperience platform
  • Figure 30: Siemens digitisation
  • Figure 31: Siemens Digital Factory portfolio, compared with Industry 4.0 plans
  • Figure 32: Kuka divisions and offerings
  • Figure 33: Kuka future vision integrating moving and fixed robots in a uniform factory platform
  • Figure 34: National Instruments vision as a provider of data analytics for the Internet of Things
  • Figure 35: Typical aircraft assembly environment
  • Figure 36: Smart glasses usage within factory
  • Figure 37: Use of uncaged robot at Audi
  • Figure 38: Competence islands at Audi
  • Figure 39: A centre to pilot the production and consumption of energy
  • Figure 40: Monitoring production by layers
  • Figure 41: Industrial Internet strategy at SNCF
  • Figure 42: Direct operating costs of an airline company
  • Figure 43: Rolls-Royce engines equipped with sensors
  • Figure 44: The Industrial Internet applied to aviation industry
  • Figure 45: The Predix platform
  • Figure 46: Value proposition evolution, GE Aviation
  • Figure 47: Connected car service roadmap
  • Figure 48: Key services in the automotive sector for major stakeholders
  • Figure 49: Willingness to pay for connected car services
  • Figure 50: 17-inch Touch screen features
  • Figure 51: Supercharger network plan in the US and in Europe for 2016
  • Figure 52: Autopilot feature setting, by Tesla
  • Figure 53: Ford SYNC AppLink applications
  • Figure 54: GoRide experience
  • Figure 55: Use of drones at Caterpillar
  • Figure 56: Driverless truck, by Komatsu
  • Figure 57: Evolution of Michelin's commercial offering
  • Figure 58: EFFIFUEL solution principle
  • Figure 59: Continuous Glucose Monitoring (CGM) systems
  • Figure 60: Key positioning differentiation among carriers in the Industrial Internet market
  • Figure 61: Connected Industry Platform showcased at the CEBIT 2015
  • Figure 62: Taleris home page
  • Figure 63: SMILE distribution of value added, by manufacturing activity
  • Figure 64: Survey by Citigroup linking smart factory development and reshoring
  • Figure 65: Manufacturing-as-a-service reorganisation of the value chain
  • Figure 66: Volume variety relationship in manufacturing
  • Figure 67: Personalised production
  • Figure 68: Effects of servicisation on customer relationship
  • Figure 69: Roadmap of different services offered by industrial players
  • Figure 70: Data resale to service company
  • Figure 71: Data resale to a third-party service company
  • Figure 72: EU manufacturing sector, activity breakdown and share in EU economy
  • Figure 73: Evolution of manufacturing domain
  • Figure 74: Michelin Solutions architecture
  • Figure 75: Use cases adoption over time
  • Figure 76: European industrial players invest €140 billion p.a. in Industrial Internet applications, to 2020
  • Figure 77: Compared adoption readiness of Industrial Internet (USA - Germany)
  • Figure 78: New business model opportunities
  • Figure 79: Industries naming ‘security' as top challenge in implementation of big data
  • Figure 80: Greatest challenges to progress toward Industry 4.0 (survey)
  • Figure 81: World installed base of manufacturing and logistics connected objects
  • Figure 82: World installed base of manufacturing and logistics, by region

Geographic area and actors

  • Asia-Pacific
  • Europe
  • Latin America
  • North America

Actors

  • ABB
  • Accenture
  • Adidas
  • ADP
  • Air Liquide
  • Airbus
  • AMC Health
  • AMP 2.0
  • Apple
  • AT&T
  • Audi
  • Autodesk
  • Axa
  • Bangkok Metro
  • Bechtle
  • BITKOM
  • BMW
  • Boeing
  • Bosch
  • Bridgestone
  • British Gas
  • Camstar
  • Caterpillar
  • Chery
  • Cisco
  • Claas
  • Daimler
  • Dassault Systèmes
  • Deere & Co.
  • Deutsche Telekom
  • Du-Co Ceramics
  • Elan
  • EMC
  • Emerson
  • ENEL
  • Epson
  • ERDF
  • Ericsson
  • Eurostar
  • Fanuc
  • Ford
  • Ford Smart Mobility LLC
  • General Electric
  • GM
  • Goodyear
  • Google
  • HCL Technologies
  • Honeywell
  • HTC
  • IBM
  • Industrial Internet Consortium
  • Innotec
  • Intel
  • ITESENS
  • John Deere
  • Komatsu
  • Kuka
  • LoRa
  • Lyft
  • Massey Ferguson
  • Medtronic
  • Michelin
  • Mitsubishi Electric
  • National Instruments
  • New Balance
  • Nike
  • OAK (Tupolev)
  • Optis
  • Oracle
  • Orange Business
  • Pirelli
  • Pivotal
  • PTC
  • Redbird
  • Renault
  • Renfe
  • Rethink Robotics
  • Rockwell Automation
  • Rolls-Royce
  • Safran
  • SAP
  • SCA Timra
  • Schneider Electric
  • Siemens
  • SIGFOX
  • SNCF
  • Tata Consultancy Services
  • TE Connectivity
  • Tech Mahindra
  • Telefónica
  • Telstra
  • Tesis
  • Tesla
  • Tieto
  • T-Mobile
  • Toyota
  • Uber
  • Ubisense
  • UGS
  • VDMA
  • Vistagy
  • VMWare
  • Vodafone
  • Volkswagen
  • Vuzix
  • Withings
  • Yokogawa Electrics
  • ZVEI

Slideshow

Visions of the Industrial Internet

  • Uses of connected objects in Industry
  • Key enabling technologies
  • Seen as a key opportunity, the Industrial Internet is supported by many initiatives

Impacts of the Industrial Internet on industries

  • A fragmented value chain
  • Evolution of the value chain
  • Evolution of business models
  • Visions of potential adoption: by use cases
  • Visions of potential adoption: by industries

Market analysis and forecast

  • Drivers and barriers
  • Market sizing and forecast
Back to Top