Publication Description

Industry 4.0 Market Report 2018-2023

Industry 4.0 and Smart Manufacturing 2018-2023 Cover

Topic

This 375-page Industry 4.0 market report examines the Industry 4.0 & Smart Manufacturing market in detail and provides market sizing & outlook by technology and by region until 2023. The report also highlights key use cases, leading Industry 4.0 market suppliers, adoption strategies, detailed case studies, disruptive trends, and other insights related to smart manufacturing and Industry 4.0.

For more information on the topic read our corresponding press release here.

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Table of contents

1 Executive Summary
1.1 Overall Highlights
1.2 Market Analysis xi
1.3 Key Use Case Analysis
1.4 Nine Disruptive Trends
1.5 I4.0 Adoption Strategies
2 Introduction 
2.1 History of Industry 4.0
2.2 Elements of Industry 4.0
3 Industry 4.0 Market Analysis 2018-2023 
3.1 Overall I4.0 Market
3.2 Connected Industry Building Blocks Market
3.2.1 By Connected Industry Building Block
3.2.2 By Region
3.2.3 Regional deep-dive: North America
3.2.3 Regional deep-dive: Europe
3.2.4 Regional deep-dive: Asia
3.2.4 Regional deep-dive: Other
3.3 Supporting Technologies Market
4 Connected Industry Building Blocks 
4.1 Hardware
4.1.1 Microchips
4.1.2 Sensors
4.1.3 Connectivity Hardware
4.2 Connectivity
4.2.1 Network Protocols
4.2.2 M2M/Network Services
4.3 Cloud, Platform, & Analytics
4.3.1 Hosting Environment
4.3.2 IoT Platforms
4.3.3 Data Analytics & AI
4.4 Applications
4.4.1 Application Development and AEPs
4.4.2 Industrial App Store & Distribution Methods
4.5 System Integration
4.6 Cyber Security
4.6.1 IT vs. OT Security
4.6.2 Overview of IoT Attack Surfaces
4.6.3 Common IoT Threats
4.6.4 Recent I4.0 Related Attacks
4.6.5 Industry 4.0 Trends
4.6.6 Leading Suppliers
5 Disruptive Trends
5.1 Trends Disrupting the 5-Layer Automation Pyramid
5.1.1 Trend 1: xx
5.1.2 Trend 2: xx
5.1.3 Trend 3: xx
5.2 Other Disruptive Trends
5.2.1 Trend 4: xx
5.2.2 Trend 5: xx
5.2.3 Trend 6: xx
5.2.4 Trend 7: xx
5.2.5 Trend 8: xx
5.2.6 Trend 9: xx
6 Supporting Technologies 
6.1 Additive Manufacturing (AM)
6.1.1 Overview
6.1.2 I4.0 Applications
6.1.3 Market Size and Growth
6.1.4 Disrupted Industries
6.1.5 Trends
6.1.6 Leading Suppliers
6.2 Augmented and Virtual Reality
6.2.1 Overview
6.2.2 I4.0 Applications
6.2.3 Market Size and Growth
6.2.4 Disrupted Industries
6.2.5 Trends
6.2.6 Leading Suppliers
6.3 Collaborative Robotics
6.3.1 Overview
6.3.2 I4.0 Applications
6.3.3 Market Size and Growth
6.3.4 Disrupted Industries
6.3.5 Trends
6.3.6 Leading Suppliers
6.4 Connected Machine Vision
6.4.1 Overview
6.4.2 I4.0 Applications
6.4.3 Market Size and Growth
6.4.4 Disrupted Industries
6.4.5 Trends
6.4.6 Leading Suppliers
6.5 Drones/UAVs
6.5.1 Overview
6.5.2 I4.0 Applications
6.5.3 Market Size and Growth
6.5.4 Disrupted Industries
6.5.5 Trends
6.5.6 Leading Suppliers
6.6 Self-Driving Vehicles (SDVs)
6.6.1 Overview
6.6.2 I4.0 Applications
6.6.3 Market Size and Growth
6.6.4 Disrupted Industries
6.6.5 Trends
6.6.6 Leading Suppliers
7 Key Use Cases 
7.1 Additive Production
7.1.1 Case Study: xx
7.1.2 Case Study: xx
7.1.3 Case Study: xx
7.2 Advanced Digital Product Engineering
7.2.1 Case Study : xx
7.2.2 Case Study: xx
7.2.3 Case Study: xx
7.2.4 Case Study: xx
7.3.1 Case Study: xx
7.3.2 Case Study: xx
7.4 Data-Driven Asset/Plant Performance Optimization
7.4.1 Case Study: xx
7.4.2 Case Study: xx
7.4.3 Case Study: xx
7.4.4 Case Study: xx
7.4.5 Case Study: xx
7.5 Data-Driven Inventory Optimization
7.5.1 Case Study: xx
7.5.2 Case Study: xx
7.6.1 Case Study: xx
7.6.2 Case Study: xx
7.6.3 Case Study: xx
7.6.4 Case Study: xx
7.7 Everything-as-a-Service Business Models
7.7.1 Case Study: xx
7.7.2 Case Study: xx
7.7.3 Case Study: xx
7.8 Human-Robot Collaboration
7.8.1 Case Study: xx
7.8.3 Case Study: xx
7.8.4 Case Study: xx
7.9 Predictive Maintenance
7.9.1 Case Study: xx
7.9.2 Case Study: xx
7.9.3 Case Study: xx
7.10 Remote Asset Testing/Inspection/Certification 280
7.10.1 Case Study: xx
7.10.2 Case Study: xx
7.10.3 Case Study: xx
7.11 Remote Service
7.11.1 Case Study: xx
7.11.2 Case Study: xx
7.11.3 Case Study: xx
7.12 Virtual Training
7.12.1 Case Study: xx
7.12.2 Case Study: xx
7.13 Other use cases
7.14 Use Case Appendix
7.14.1 Advanced Digital Product Engineering: Definition of Digital Twins
7.14.2 Data-Driven Inventory Optimization:
Definition of Multi-Echelon Inventory Optimization
8 I4.0 Adoption Strategies 
8.1 OEMs
8.1.1 Overview
8.1.2 Case Study: xx
8.1.3 Case Study: xx
8.1.4 Case Study: xx
8.1.5 Case Study: xx
8.1.6 Adoption Strategy Comparison: OEMs from Different Industries
8.1.7 Adoption Strategy Deep-Dive: Elevator OEMs
8.2 Smart Factories
8.2.1 Overview
8.2.2 TRUMPF Smart Factory
8.2.3 GE Brilliant Factory
8.2.4 Audi Smart Factory
8.2.5 SmartFactoryKL
8.2.6 SmartFactory OWL
8.2.7 Other Smart Factories
8.2.8 Deep-dive: Lean Manufacturing and Industry 4.0
8.3 Industrial Automation Suppliers
8.3.1 Overview
8.3.2 I4.0 Readiness Assessments of Top 5 Industrial Automation Vendors
8.3.3 Others Large Vendors ($3B+ I4.0 Related Revenue)
8.3.4 Smaller Vendors (greater than $3B I4.0 Related Revenue)
9 Associations, Foundations, Committees to watch 
9.1 Labs Network Industrie 4.0
9.2 Industrial Internet Consortium (IIC)
9.3 OPC Foundation
9.4 Industrial Data Space Association
9.5 CyberValley of Baden Württemberg
9.6 Center for the Development and Application of Internet of Things Technologies
9.7 Manufacturing USA
10 Appendix 
10.1 Market definition, sizing, and methodology
10.1.1 Industry 4.0 definition:
10.1.2 IoT definition:
10.1.3 IIoT and Connected Industry definition:
10.1.4 Connected Industry building blocks definition:
10.1.5 Market Sizing:
10.1.6 Methodology:
10.2 List of Acronyms
10.3 List of Exhibits
10.4 List of Tables

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Copyright

Release Date

  • November 2018

Main Author

  • Matthew Wopata

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