The Industrial Internet Towards the 4th industrial revolution

The Industrial Internet Towards the 4th industrial revolution

Table of Contents

1. Executive Summary 9

2. Methodology 10

3. Visions of the Industrial Internet 11
3.1. The Industrial Internet: how industry uses connected objects 11
3.1.1. A key enabler of the digital transformation strategy 11
3.1.2. Production optimisation: Smart Factory 12
3.1.3. Selling connected objects: towards servicisation 14
3.2. Key enabling technologies 15
3.2.1. Connectivity technologies for the Industrial Internet 15
3.2.2. Connecting tools of production 21
3.2.3. Connecting the employees 25
3.2.4. Making sense of connectivity: Data analytics 29
3.3. Key trends supporting the vision of an Industrial Internet 31
3.3.1. National and international initiatives 31
3.3.2. Anticipated societal impacts 34

4. Value chain and key players 39
4.1. Value chain overview 39
4.2. Smart Factory solution providers 40
4.2.1. Sensor and actuator providers 40
4.2.2. Industrial solution providers 41
4.3. Implementations in selected industries 46
4.3.1. Aeronautics 46
4.3.2. Automotive 48
4.3.3. Energy 50
4.3.4. Transportation 51
4.4. Connected end product 53
4.4.1. Aviation 54
4.4.2. Automotive 57
4.4.3. Heavy equipment 62
4.5. Evolution of customer relationship 64
4.5.1. Transportation 64
4.5.2. Healthcare 66
4.6. The roles of telcos, platforms and IT service providers 68
4.6.1. Telcos 68
4.6.2. Platform providers 70
4.6.3. Service providers and IT players 71

5. Impacts of the Industrial Internet on industries 73
5.1. Evolution of value chains 73
5.1.1. Transformation of the manufacturing ecosystem 73
5.1.2. Evolution of connectivity value chain 75
5.2. Business model evolutions 76
5.2.1. Manufacturing platforms and manufacturing-as-a-service 76
5.2.2. Smaller, local, production units for personalised products 78
5.2.3. Product as a service 80
5.2.4. Data monetisation 83
5.3. Connected objects as part of digital transformation of industry 85
5.3.1. Needs of manufacturing domain 85
5.3.2. Constraints of manufacturing domain 87
5.3.3. Vision of potential adoption of connected objects by vertical industries 89

6. Markets and forecasts 92
6.1. Market development factors 92
6.1.1. Drivers 92
6.1.2. Barriers 95
6.2. Market sizing and forecast 98

List of Tables

Table 1: Mobile technologies specifications 17
Table 2: Key 5G applications on IoT/M2M 19
Table 3: ISM bands sample 19
Table 4: ISM bands analysis (for European region) 20
Table 5: Features of main short-range technologies 20
Table 6: Connecting production tools: technological requirements. 25
Table 7: Connecting employees: technological requirements. 28
Table 8: Main providers of smart factory solutions 41
Table 9: Main initiatives around the smart factory 46
Table 10: Main initiatives around connected end products 53
Table 11: Main initiatives around innovative pricing schemes 64
Table 12: Main initiatives of Medtronic in connected health market 67
Table 13: MaaS new roles value propositions 78
Table 14: Value propositions, from mass production to personalised product 80
Table 15: Use cases of factors in adoption 90
Table 16: Factors of adoption across industries 91
Table 17: Timeline for adoption in selected vertical industries 91

List of Figures

Figure 1: The IDATE framework for digital transformation 11
Figure 2: Technologies of third wave of digital transformation 12
Figure 3: Smart factory use case 13
Figure 4: Architecture of an M2M solution 15
Figure 5: Landscape of IoT/M2M networking technologies 16
Figure 6: LTE developments to address M2M and IoT 18
Figure 7: Different specifications of LTE versions focused on IoT 18
Figure 8: Scope of 5G 18
Figure 9: Siemens automated factory, in Amberg, Germany 21
Figure 10: The Siemens vision of smart factory convergence 21
Figure 11: Track and Trace IIC Testbed 22
Figure 12: Baxter uncaged robot 23
Figure 13: New Balance shoes with 3D-printed midsoles presented at CES 2016 24
Figure 14: ABB control rooms 25
Figure 15: HTC Vive virtual reality headset 26
Figure 16: Optis HIM VR solution used to validate assembly movements in aerospace industry 27
Figure 17: Augmented Reality deployment at Bechtle 27
Figure 18: Use of big-data analytics in manufacturing 29
Figure 19: Intel production line data analytics setup 30
Figure 20: Overview of European initiatives on digitising industry 32
Figure 21: Increases in productivity in component manufacturing 34
Figure 22: INDUSTRY 4.0 to generate significant productivity gains in Germany 35
Figure 23: Expected gains of digitising industry 36
Figure 24: Impact of automation on the job market 37
Figure 25: Shifts in demand of skills in future manufacturing industries 37
Figure 26: Industrial Internet value chain 39
Figure 27: 2014 ranking of MEMS players 40
Figure 28: TE connectivity positioning in sensors 41
Figure 29: Dassault Systèmes 3DExperience platform 42
Figure 30: Siemens digitisation 43
Figure 31: Siemens Digital Factory portfolio, compared with Industry 4.0 plans 44
Figure 32: Kuka divisions and offerings 44
Figure 33: Kuka future vision integrating moving and fixed robots in a uniform factory platform 45
Figure 34: National Instruments vision as a provider of data analytics for the Internet of Things 45
Figure 35: Typical aircraft assembly environment 47
Figure 36: Smart glasses usage within factory 48
Figure 37: Use of uncaged robot at Audi 49
Figure 38: Competence islands at Audi 49
Figure 39: A centre to pilot the production and consumption of energy 50
Figure 40: Monitoring production by layers 51
Figure 41: Industrial Internet strategy at SNCF 52
Figure 42: Direct operating costs of an airline company 54
Figure 43: Rolls-Royce engines equipped with sensors 54
Figure 44: The Industrial Internet applied to aviation industry 55
Figure 45: The Predix platform 56
Figure 46: Value proposition evolution, GE Aviation 56
Figure 47: Connected car service roadmap 57
Figure 48: Key services in the automotive sector for major stakeholders 58
Figure 49: Willingness to pay for connected car services 58
Figure 50: 17-inch Touch screen features 59
Figure 51: Supercharger network plan in the US and in Europe for 2016 60
Figure 52: Autopilot feature setting, by Tesla 60
Figure 53: Ford SYNC AppLink applications 61
Figure 54: GoRide experience 62
Figure 55: Use of drones at Caterpillar 63
Figure 56: Driverless truck, by Komatsu 63
Figure 57: Evolution of Michelin's commercial offering 65
Figure 58: EFFIFUEL solution principle 66
Figure 59: Continuous Glucose Monitoring (CGM) systems 68
Figure 60: Key positioning differentiation among carriers in the Industrial Internet market 69
Figure 61: Connected Industry Platform showcased at the CEBIT 2015 70
Figure 62: Taleris home page 72
Figure 63: SMILE distribution of value added, by manufacturing activity 74
Figure 64: Survey by Citigroup linking smart factory development and reshoring 74
Figure 65: Manufacturing-as-a-service reorganisation of the value chain 77
Figure 66: Volume variety relationship in manufacturing 78
Figure 67: Personalised production 79
Figure 68: Effects of servicisation on customer relationship 80
Figure 69: Roadmap of different services offered by industrial players 82
Figure 70: Data resale to service company 83
Figure 71: Data resale to a third-party service company 84
Figure 72: EU manufacturing sector, activity breakdown and share in EU economy 85
Figure 73: Evolution of manufacturing domain 86
Figure 74: Michelin Solutions architecture 87
Figure 75: Use cases adoption over time. 90
Figure 76: European industrial players invest €140 billion p.a. in Industrial Internet applications, to 2020 93
Figure 77: Compared adoption readiness of Industrial Internet (USA - Germany) 94
Figure 78: New business model opportunities 95
Figure 79: Industries naming 'security' as top challenge in implementation of big data 96
Figure 80: Greatest challenges to progress toward Industry 4.0 (survey) 97
Figure 81: World installed base of manufacturing and logistics connected objects 98
Figure 82: World installed base of manufacturing and logistics, by region 98

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