Digital twins are a convergence technology that involves making a digital replica of a living and non-living physical entity. In addition to performing digital simulation analysis and presenting the real-time state of things, Digital Twins can be used to predict and make decision recommendations, including aircraft manufacturing maintenance, human-machine collaboration, and product lifecycle management involved in manufacturing, and even some medical systems have begun to adopt such technology.
In recent years, some big names have invested in Digital Twin solutions, such as GE, Siemens, Dassault, Airbus, and Boeing. This report explores the key areas where most of the digital twin patents lie, pinpoints patent deployment by key technology, field, and sector, and conducts an in-depth analysis of the above mentioned brands; patent deployment strategies.
List of Topics
- Digital twin technology and its definition
- Patent analysis by sector, by field, by application year, by technology, and by brand including GE, Siemens, Johnson Controls, Rockwell Automation, Honeywell, ANSYS, Dassault Systemes, PTC, SAP, and Microsoft
- Patent deployment strategies of abovementioned brands and more such as Accenture, UPS, Airbus, United Technologies, Boeing, and Quest Integrated
Table of Contents
1. Technology Introduction
1.1 Definition
2. Patent Deployment Analysis
2.1 Patent Mining
2.2 Patent Analysis
2.2.1 Analysis by Sector
2.2.2 Analysis by Field
2.2.3 Analysis by Field and by Application Year
2.2.4 Analysis by Field and by Brand
2.2.5 Analysis by Technology
2.2.6 Analysis by Technology and by Application Year
2.2.7 Analysis by Technology and by Brand
2.2.8 R&D Intensity of Major Brands
2.2.9 Analysis by Application
2.2.10 Analysis by Application and by Application Year
Author's Perspective
Appendix
Glossary of Terms
List of Companies
List of Tables
Table 1 Digital Twin Patent Counts by Field and by Application Year
Table 2 Digital Twin Patent Counts by Field and by Brand
Table 3 Digital Twin Patent Share by Technology
Table 4 Matrix Analysis of Digital Twin Patent Counts by Technology and Application Year
Table 5 Matrix Analysis of Digital Twin Patent Counts by Technology and by Brand
Table 6 Digital Twin Patent Share by Application
Table 7 Digital Twin Patent Counts by Application and Application Year
Table 8 Matrix Analysis of Digital Twin Patent Counts by Brands and by Application
List of Figures
Figure 1 Digital Twin Patent Share by Sector
Figure 2 Digital Twin Patent Share by Field
Figure 3 Digital Twin R&D Intensity of Major Brands
Samples
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Accenture
- Airbus
- ANASYS
- Boeing
- Dassault Systemes
- Fedem Technology
- General Electric
- Honeywell
- Johnson Controls
- Microsoft
- PTC
- Quest Integrated
- Rockwell Automation
- SAP
- Siemens
- United Technologies
- UPS
- Siemens
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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