Industry 4.0 & Smart Manufacturing 2018-2023

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Industry 4.0 and Smart Manufacturing 2018-2023 Cover

 

 

 

 

 

 

Industry 4.0 Market Report examining the Industrial IoT space. Including:

  • Market forecast 2018 to 2023
  • Market breakdown into 6 building blocks and 6 Industry 4.0 supporting technologies
  • Geographical breakdown across 7 regions and 46 countries
  • 9 disruptive trends transforming smart manufacturing
  • 60+ technology trends
  • 12 key Industry 4.0 use cases with projected market sizes and growth rates
  • 38 detailed case studies highlighting the 12 key Industry 4.0 use cases
  • 50+ examples of Industry 4.0 solutions
  • Analysis of smart factory landscape, including a comparison of 5 major factories
  • Analysis of 13 industrial automation suppliers, with a deep-dive into 5 of the largest
  • 11 data tables from the market model
  • List of 13 disrupted industries that are at risk of losing business to new Industry 4.0 technologies/suppliers
  • List of 350+ Industry 4.0 companies and offerings, available in .xls

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Market Report: Industry 4.0 & Smart Manufacturing 2018-2023

The term Industry 4.0 has become a global term to describe the 4th industrial revolution. Manufacturers are already participating in this revolution by integrating both new and existing IT and OT technologies and realizing key use cases that are improving efficiencies, creating new revenue streams, and reducing risks.

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.

FIND OUT:

  • How big the Industry 4.0 market currently is and how fast the market is growing
  • How the market revenue is developing across the two technological subsets: connected industry building blocks and I4.0 supporting technologies
  • How the market revenue for connected industry building blocks is developing across 7 regions and 46 countries
  • How the market revenue for Industry 4.0 supporting technologies is developing across the six technologies:
    1. Additive Manufacturing
    2. Augmented & Virtual Reality
    3. Collaborative Robotics
    4. Connected Machine Vision
    5. Drones/UAVs
    6. Self-Driving Vehicles
  • How leading manufacturers are leveraging I4.0 technologies to win market share and improve operations
  • What industries are at risk of being disrupted by new I4.0 technologies
  • Which industrial automation suppliers are leading the way in I4.0 offerings and investments
  • How the automation pyramid will evolve as new edge-to-cloud connectivity architectures emerge
  • How private companies and public institutions are using smart factories to help advance Industry 4.0 concepts
  • How OEMs are using I4.0 technologies to create differentiated products and services

AVAILABLE PLANS

MARKET REPORT
SINGLE USER LICENSE

$3,000 388 page PDF
    • 1 Named user
    • Complete market report in PDF
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    • .
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MARKET REPORT
TEAM USER LICENSE

$4,000 388 page PDF + 1x EXCEL
    • 1-5 Named users
    • Complete market report in PDF
    • Market model data, 11 Tables in EXCEL
    • .
    • .
    • .

MARKET REPORT
ENTERPRISE PREMIUM LICENSE

$6,000 388 page PDF + 3x EXCEL
    • Unlimited users within country organisation
    • Complete market report in PDF
    • Market model data, 11 Tables in EXCEL
    • List of 360 Industry 4.0 Companies in EXCEL
    • List of 426 Industry 4.0 Projects in EXCEL
    • 1h discussion with the Analyst Team

AT A GLANCE

The market for Industry 4.0 products and services is expected to grow to $310B by 2023. These numbers are based on the state of I4.0 adoption across manufacturing verticals and the analysis of two distinct technological subsets of the I4.0 market: the connected industry building blocks and other I4.0 supporting technologies.


Industry 4.0 Market Size

The connected industry building blocks subset of the I4.0 market is further broken down into the 6 building blocks (hardware, connectivity, cloud platform & analytics, applications, cybersecurity, system integration), and 7 regions (North America, Europe, Asia, Middle East & Africa, Oceania, South America, Other). The I4.0 supporting technologies subset of the I4.0 market is further broken down into the 6 supporting technologies (additive manufacturing [3D printing], augmented and virtual reality [AR & VR], collaborative robots, connected machine vision, drones / UAVs, self-driving vehicles [SDVs]).

Every connected industry building block and supporting technology is explored in-depth, and an Excel database of 350+ companies categorized by I4.0 offering is included with the enterprise version of the report.

Key findings from the report include 9 disruptive trends that have the potential to fundamentally change existing industrial network architectures, business models, and technology stacks. Three of the nine disruptive trends relate to the traditional 5-layer automation pyramid. One such trend is for I/O and PLC hardware to bypass the traditional automation pyramid and instead connect to the cloud either directly or via industrial gateways.

The Industry 4.0 market report also ranks and analyzes the 12 most popular I4.0 use cases, the largest of which is advanced digital product development.

Read the corresponding press release here.

QUESTIONS ANSWERED IN THE INDUSTRY 4.0 MARKET REPORT

MARKET FOCUS

  • What is the current size of the overall Industry 4.0 market?
  • How fast is the overall Industry 4.0 market growing?
  • How much will the overall Industry 4.0 market be worth by 2023?
  • Which regions are driving growth for the connected industry building blocks market?
  • Which connected industry building blocks are driving growth in the Industry 4.0 market?
  • Which supporting technologies are driving growth in the Industry 4.0 market?

 

TECHNOLOGY FOCUS

  • What are the six connected industry building blocks?
  • What are the different types of microchips used in Industry 4.0 hardware?
  • How are smart sensors being deployed?
  • How do gateways simplify edge connectivity architectures?
  • How will the automation pyramid evolve as new edge-to-cloud connectivity architectures emerge?
  • Which connectivity protocols are being used to connect equipment to I4.0 solutions?
  • Which wireless protocols are best-suited for industrial connectivity?
  • Which is the most common hosting environment for IoT platforms?
  • What are the major components that make up an IoT platform?
  • What are the main security elements of an Industry 4.0 solution?
  • What types of systems integrators are used for Industry 4.0 solutions?

 

CUSTOMER FOCUS

  • What are the fastest growing and largest I4.0 use cases?
  • How can I4.0 solutions improve operational efficiencies, create new revenue streams, and reduce risk?
  • Which industries are leading the way in Industry 4.0 adoption and which are lagging?
  • What are the differences between Industry 4.0 adoption strategies across OEMs?
  • Which I4.0 technologies are used to achieve which use cases?

 

VENDOR FOCUS

  • Who are the leading vendors of Industry 4.0 technologies?
  • Which industrial automation suppliers are well positioned to capture Industry 4.0 market share?

 

GENERAL

  • What industries are at risk of being disrupted by new Industry 4.0 technologies?
  • What disruptive trends have the potential to transform existing manufacturing technologies and operations?
  • Which associations, foundations, and committees are driving Industry 4.0 adoption?

 

COMPANIES MENTIONED (SELECTED)

ABB, Accenture, ADLink, Alluvium, Amazon, Atos, Audi, Baylo, Bechtle AG, Bosch, Bühler, C3, Cisco, CODESYS, Cognex, Cyberhawk, Daimler, DMG-Mori, Emerson, EOS, Ericsson, ESI Group, Fanuc, Fero Labs, Festo, Ford, General Electric, GOM GMBH, Heidelberg, Heller, Hilscher, Hitachi, Honeywell, IBM, Inductive Automation, Itizzimo, Kaeser Compressors, Kemppi, KPMG, Kuka, Mercedes-Benz (Daimler), Mevea, Microsoft, Mitsubishi Electric, Oculus, Omron, Opel AG, Pepperl+Fuchs, Protolabs, PTC, Rockwell Automation, SAP, Schneider Electric, Seat, Seeq, Sepasoft, Siemens, Sky Futures, SparkCognition, Standard Motor Products, Stanley Black & Decker, Stratasys, TE Connectivity, Teledyne Dalsa, Thyssenkrupp, TRUMPF, Universal Robotics, Volvo, WiPro, Xometry, Yaskawa, Yokogawa

TERMS & CONDITIONS

The terms and conditions of the different license plans can be found HERE.

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Additional information

Publication date

November 2018

Scope

375 pages

Inquiry email

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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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