Global Digital Twins Market

Digital Twins Comprehensive Study by Type (Parts Twin, Product Twin, Process Twin, System Twin), Application (Product Design and Development, Machine and Equipment Health Monitoring, Predictive Maintenance, Dynamic Optimization), Industry Vertical (Aerospace & Defense, Automotive & Transportation, Home & Commercial, Electronics & Electricals/Machine Manufacturing, Energy & Utilities, Healthcare, Retail & Consumer Goods), Technology (IoT & IIoT, Blockchain, Artificial Intelligence & Machine Learning, Augmented Reality, Virtual Reality, and Mixed Reality, Big Data Analytics, 5G) Players and Region - Global Market Outlook to 2028

Digital Twins Market by XX Submarkets | Forecast Years 2023-2028 | CAGR: 35.89%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Market Overview:
The fourth industrial revolution or Industry 4.0 which embraces automation, data exchange and manufacturing technologies is at the talking point of the business world. Digital Twins is at the core of this new industrial revolution bringing in unlimited possibilities. The global Digital Twins Market is expected to boost in the forecasted period due to declining time and cost of product development as well as unplanned downtime. The digital twin is referred to as the virtual replica model or digitized duplicates of physical assets, processes, systems, and devices. There are various types are available in digital twin processes such as parts twin, product twin, process twin, and system twin. It is a digital representation of a physical object or system. The technology behind digital twins has expanded to include large items including buildings, factories, and even cities, and some have said people and processes can have digital twins, expanding the concept even further. The application of digital twin processes including product design and development, machine and equipment health monitoring, predictive maintenance and dynamic optimization. The increasing opportunities for digital twins in the healthcare industry also help to trigger market demand in the future.

Asia Pacific is projected to be the fastest-growing market, expanding at a CAGR of % from 2022 to 2028.

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Key Companies ProfiledGeneral Electric (United States), IBM Corporation (United States), Microsoft Corporation (United States), Oracle Corporation (United States), HP (United States), ANSYS, Inc. (United States), Dassault Systèmes (France), Siemens AG (Germany), Robert Bosch GmbH (Germany), Amazon Web Services (United States) and SAP (Germany)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region or narrow down segments in the final scope subject to feasibility


AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics of major and emerging geographies across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Key Players of Digital Twins Market Study:
General Electric (United States), IBM Corporation (United States), Microsoft Corporation (United States), Oracle Corporation (United States), HP (United States), ANSYS, Inc. (United States), Dassault Systèmes (France), Siemens AG (Germany), Robert Bosch GmbH (Germany), Amazon Web Services (United States) and SAP (Germany)

Digital Twins Market Segment Analysis
ScopeSub-Segments
Application / End UserProduct Design and Development, Machine and Equipment Health Monitoring, Predictive Maintenance and Dynamic Optimization
TypeParts Twin, Product Twin, Process Twin and System Twin
Industry VerticalAerospace & Defense,Automotive & Transportation,Home & Commercial,Electronics & Electricals/Machine Manufacturing,Energy & Utilities,Healthcare,Retail & Consumer Goods
TechnologyIoT & IIoT,Blockchain,Artificial Intelligence & Machine Learning,Augmented Reality, Virtual Reality, and Mixed Reality,Big Data Analytics,5G


Influencing Trend:
Adoption of IOT and Cloud Platforms and Rising Attraction towards 3D Printing as well as 3D Simulation

Market Growth Drivers:
Developing Usage of Connected Devices across Numerous Organizations and A Rise of High-Speed Networking Skills

Challenges:
Lack of Awareness about Benefit of Digital Twin and Lack of Professionals

Restraints:
Growing Concern about Data Security and Privacy

Opportunities:
Up Surging Demand of Digital Twin Technology in Aerospace Industry and An innovation of New Technology in Virtual Reality as well as Augmented Reality

Some of the other players that are also part of study are PTC, Inc. (United States), Altair (United States) and Autodesk (United States). The Global Digital Twins market is gaining huge competition due to involvement of United States companies that constantly invest in research & development to meet market expectation with new innovation.

Latest Industry Highlights:
On 28th October 2018, IBM has acquired Red Hat, the world's leading provider of open source cloud software. The deal was established such as all of the issued and outstanding common shares of Red Hat in for 190 dollars per share in cash, it represents total enterprise value 34 billion dollars. and On 27th August 2018, GE Power's Grid Solutions business has launched New Inventions at CIGRE 2018 Including Revolutionary HVDC Control System. "Digital Twin" for Power Transformers allows real asset performance management to prolong asset life and make the most of operational performance.
22nd March 2019, Siemens has announced that it has signed an agreement to acquire the Noise, Vibration, and Harshness (NVH)end-of-line quality testing business of Saab Medav Technologies GmbH. this acquisition is done to enhance the quality of digital twins.


Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Digital Twins market.
In order to reach an exhaustive list of functional and relevant players, various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep into important geographies by players, and a thorough validation test is conducted to reach the most relevant players for survey in Digital Twins market.
Identification of total players or companies operating in the global market which is further concentrated to fewer or most impacting players which are considered under the report’s scope. In order to make a priority list sorting is done based on revenue generated based on the latest reporting with the help of paid databases such as Factiva, Bloomberg, etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Digital Twins Manufactures, Digital Twins Supplier/ Distributor/ Retailer, Digital Twin Software Providers and other stakeholders, IoT Vendors, Application or Software Developers, Digital Twin Software Integrators, Market research and consulting firms, Private Research Institutes, Government Research Institutes and Others.

This helps us to gather the data for the players’ revenue, operating cycle and expense, profit along with product or service growth, etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that include Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Parts Twin
  • Product Twin
  • Process Twin
  • System Twin
By Application
  • Product Design and Development
  • Machine and Equipment Health Monitoring
  • Predictive Maintenance
  • Dynamic Optimization
By Industry Vertical
  • Aerospace & Defense
  • Automotive & Transportation
  • Home & Commercial
  • Electronics & Electricals/Machine Manufacturing
  • Energy & Utilities
  • Healthcare
  • Retail & Consumer Goods

By Technology
  • IoT & IIoT
  • Blockchain
  • Artificial Intelligence & Machine Learning
  • Augmented Reality, Virtual Reality, and Mixed Reality
  • Big Data Analytics
  • 5G

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Developing Usage of Connected Devices across Numerous Organizations
      • 3.2.2. A Rise of High-Speed Networking Skills
    • 3.3. Market Challenges
      • 3.3.1. Lack of Awareness about Benefit of Digital Twin
      • 3.3.2. Lack of Professionals
    • 3.4. Market Trends
      • 3.4.1. Adoption of IOT and Cloud Platforms
      • 3.4.2. Rising Attraction towards 3D Printing as well as 3D Simulation
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Digital Twins, by Type, Application, Industry Vertical, Technology and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Digital Twins (Value)
      • 5.2.1. Global Digital Twins by: Type (Value)
        • 5.2.1.1. Parts Twin
        • 5.2.1.2. Product Twin
        • 5.2.1.3. Process Twin
        • 5.2.1.4. System Twin
      • 5.2.2. Global Digital Twins by: Application (Value)
        • 5.2.2.1. Product Design and Development
        • 5.2.2.2. Machine and Equipment Health Monitoring
        • 5.2.2.3. Predictive Maintenance
        • 5.2.2.4. Dynamic Optimization
      • 5.2.3. Global Digital Twins by: Industry Vertical (Value)
        • 5.2.3.1. Aerospace & Defense
        • 5.2.3.2. Automotive & Transportation
        • 5.2.3.3. Home & Commercial
        • 5.2.3.4. Electronics & Electricals/Machine Manufacturing
        • 5.2.3.5. Energy & Utilities
        • 5.2.3.6. Healthcare
        • 5.2.3.7. Retail & Consumer Goods
      • 5.2.4. Global Digital Twins by: Technology (Value)
        • 5.2.4.1. IoT & IIoT
        • 5.2.4.2. Blockchain
        • 5.2.4.3. Artificial Intelligence & Machine Learning
        • 5.2.4.4. Augmented Reality, Virtual Reality, and Mixed Reality
        • 5.2.4.5. Big Data Analytics
        • 5.2.4.6. 5G
      • 5.2.5. Global Digital Twins Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Digital Twins (Price)
      • 5.3.1. Global Digital Twins by: Type (Price)
  • 6. Digital Twins: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. General Electric (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. IBM Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Microsoft Corporation (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Oracle Corporation (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. HP (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. ANSYS, Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Dassault Systèmes (France)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Siemens AG (Germany)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Robert Bosch GmbH (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Amazon Web Services (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. SAP (Germany)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Digital Twins Sale, by Type, Application, Industry Vertical, Technology and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Digital Twins (Value)
      • 7.2.1. Global Digital Twins by: Type (Value)
        • 7.2.1.1. Parts Twin
        • 7.2.1.2. Product Twin
        • 7.2.1.3. Process Twin
        • 7.2.1.4. System Twin
      • 7.2.2. Global Digital Twins by: Application (Value)
        • 7.2.2.1. Product Design and Development
        • 7.2.2.2. Machine and Equipment Health Monitoring
        • 7.2.2.3. Predictive Maintenance
        • 7.2.2.4. Dynamic Optimization
      • 7.2.3. Global Digital Twins by: Industry Vertical (Value)
        • 7.2.3.1. Aerospace & Defense
        • 7.2.3.2. Automotive & Transportation
        • 7.2.3.3. Home & Commercial
        • 7.2.3.4. Electronics & Electricals/Machine Manufacturing
        • 7.2.3.5. Energy & Utilities
        • 7.2.3.6. Healthcare
        • 7.2.3.7. Retail & Consumer Goods
      • 7.2.4. Global Digital Twins by: Technology (Value)
        • 7.2.4.1. IoT & IIoT
        • 7.2.4.2. Blockchain
        • 7.2.4.3. Artificial Intelligence & Machine Learning
        • 7.2.4.4. Augmented Reality, Virtual Reality, and Mixed Reality
        • 7.2.4.5. Big Data Analytics
        • 7.2.4.6. 5G
      • 7.2.5. Global Digital Twins Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Digital Twins (Price)
      • 7.3.1. Global Digital Twins by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Digital Twins: by Type(USD Million)
  • Table 2. Digital Twins Parts Twin , by Region USD Million (2017-2022)
  • Table 3. Digital Twins Product Twin , by Region USD Million (2017-2022)
  • Table 4. Digital Twins Process Twin , by Region USD Million (2017-2022)
  • Table 5. Digital Twins System Twin , by Region USD Million (2017-2022)
  • Table 6. Digital Twins: by Application(USD Million)
  • Table 7. Digital Twins Product Design and Development , by Region USD Million (2017-2022)
  • Table 8. Digital Twins Machine and Equipment Health Monitoring , by Region USD Million (2017-2022)
  • Table 9. Digital Twins Predictive Maintenance , by Region USD Million (2017-2022)
  • Table 10. Digital Twins Dynamic Optimization , by Region USD Million (2017-2022)
  • Table 11. Digital Twins: by Industry Vertical(USD Million)
  • Table 12. Digital Twins Aerospace & Defense , by Region USD Million (2017-2022)
  • Table 13. Digital Twins Automotive & Transportation , by Region USD Million (2017-2022)
  • Table 14. Digital Twins Home & Commercial , by Region USD Million (2017-2022)
  • Table 15. Digital Twins Electronics & Electricals/Machine Manufacturing , by Region USD Million (2017-2022)
  • Table 16. Digital Twins Energy & Utilities , by Region USD Million (2017-2022)
  • Table 17. Digital Twins Healthcare , by Region USD Million (2017-2022)
  • Table 18. Digital Twins Retail & Consumer Goods , by Region USD Million (2017-2022)
  • Table 19. Digital Twins: by Technology(USD Million)
  • Table 20. Digital Twins IoT & IIoT , by Region USD Million (2017-2022)
  • Table 21. Digital Twins Blockchain , by Region USD Million (2017-2022)
  • Table 22. Digital Twins Artificial Intelligence & Machine Learning , by Region USD Million (2017-2022)
  • Table 23. Digital Twins Augmented Reality, Virtual Reality, and Mixed Reality , by Region USD Million (2017-2022)
  • Table 24. Digital Twins Big Data Analytics , by Region USD Million (2017-2022)
  • Table 25. Digital Twins 5G , by Region USD Million (2017-2022)
  • Table 26. South America Digital Twins, by Country USD Million (2017-2022)
  • Table 27. South America Digital Twins, by Type USD Million (2017-2022)
  • Table 28. South America Digital Twins, by Application USD Million (2017-2022)
  • Table 29. South America Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 30. South America Digital Twins, by Technology USD Million (2017-2022)
  • Table 31. Brazil Digital Twins, by Type USD Million (2017-2022)
  • Table 32. Brazil Digital Twins, by Application USD Million (2017-2022)
  • Table 33. Brazil Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 34. Brazil Digital Twins, by Technology USD Million (2017-2022)
  • Table 35. Argentina Digital Twins, by Type USD Million (2017-2022)
  • Table 36. Argentina Digital Twins, by Application USD Million (2017-2022)
  • Table 37. Argentina Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 38. Argentina Digital Twins, by Technology USD Million (2017-2022)
  • Table 39. Rest of South America Digital Twins, by Type USD Million (2017-2022)
  • Table 40. Rest of South America Digital Twins, by Application USD Million (2017-2022)
  • Table 41. Rest of South America Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 42. Rest of South America Digital Twins, by Technology USD Million (2017-2022)
  • Table 43. Asia Pacific Digital Twins, by Country USD Million (2017-2022)
  • Table 44. Asia Pacific Digital Twins, by Type USD Million (2017-2022)
  • Table 45. Asia Pacific Digital Twins, by Application USD Million (2017-2022)
  • Table 46. Asia Pacific Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 47. Asia Pacific Digital Twins, by Technology USD Million (2017-2022)
  • Table 48. China Digital Twins, by Type USD Million (2017-2022)
  • Table 49. China Digital Twins, by Application USD Million (2017-2022)
  • Table 50. China Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 51. China Digital Twins, by Technology USD Million (2017-2022)
  • Table 52. Japan Digital Twins, by Type USD Million (2017-2022)
  • Table 53. Japan Digital Twins, by Application USD Million (2017-2022)
  • Table 54. Japan Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 55. Japan Digital Twins, by Technology USD Million (2017-2022)
  • Table 56. India Digital Twins, by Type USD Million (2017-2022)
  • Table 57. India Digital Twins, by Application USD Million (2017-2022)
  • Table 58. India Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 59. India Digital Twins, by Technology USD Million (2017-2022)
  • Table 60. South Korea Digital Twins, by Type USD Million (2017-2022)
  • Table 61. South Korea Digital Twins, by Application USD Million (2017-2022)
  • Table 62. South Korea Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 63. South Korea Digital Twins, by Technology USD Million (2017-2022)
  • Table 64. Taiwan Digital Twins, by Type USD Million (2017-2022)
  • Table 65. Taiwan Digital Twins, by Application USD Million (2017-2022)
  • Table 66. Taiwan Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 67. Taiwan Digital Twins, by Technology USD Million (2017-2022)
  • Table 68. Australia Digital Twins, by Type USD Million (2017-2022)
  • Table 69. Australia Digital Twins, by Application USD Million (2017-2022)
  • Table 70. Australia Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 71. Australia Digital Twins, by Technology USD Million (2017-2022)
  • Table 72. Rest of Asia-Pacific Digital Twins, by Type USD Million (2017-2022)
  • Table 73. Rest of Asia-Pacific Digital Twins, by Application USD Million (2017-2022)
  • Table 74. Rest of Asia-Pacific Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 75. Rest of Asia-Pacific Digital Twins, by Technology USD Million (2017-2022)
  • Table 76. Europe Digital Twins, by Country USD Million (2017-2022)
  • Table 77. Europe Digital Twins, by Type USD Million (2017-2022)
  • Table 78. Europe Digital Twins, by Application USD Million (2017-2022)
  • Table 79. Europe Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 80. Europe Digital Twins, by Technology USD Million (2017-2022)
  • Table 81. Germany Digital Twins, by Type USD Million (2017-2022)
  • Table 82. Germany Digital Twins, by Application USD Million (2017-2022)
  • Table 83. Germany Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 84. Germany Digital Twins, by Technology USD Million (2017-2022)
  • Table 85. France Digital Twins, by Type USD Million (2017-2022)
  • Table 86. France Digital Twins, by Application USD Million (2017-2022)
  • Table 87. France Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 88. France Digital Twins, by Technology USD Million (2017-2022)
  • Table 89. Italy Digital Twins, by Type USD Million (2017-2022)
  • Table 90. Italy Digital Twins, by Application USD Million (2017-2022)
  • Table 91. Italy Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 92. Italy Digital Twins, by Technology USD Million (2017-2022)
  • Table 93. United Kingdom Digital Twins, by Type USD Million (2017-2022)
  • Table 94. United Kingdom Digital Twins, by Application USD Million (2017-2022)
  • Table 95. United Kingdom Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 96. United Kingdom Digital Twins, by Technology USD Million (2017-2022)
  • Table 97. Netherlands Digital Twins, by Type USD Million (2017-2022)
  • Table 98. Netherlands Digital Twins, by Application USD Million (2017-2022)
  • Table 99. Netherlands Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 100. Netherlands Digital Twins, by Technology USD Million (2017-2022)
  • Table 101. Rest of Europe Digital Twins, by Type USD Million (2017-2022)
  • Table 102. Rest of Europe Digital Twins, by Application USD Million (2017-2022)
  • Table 103. Rest of Europe Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 104. Rest of Europe Digital Twins, by Technology USD Million (2017-2022)
  • Table 105. MEA Digital Twins, by Country USD Million (2017-2022)
  • Table 106. MEA Digital Twins, by Type USD Million (2017-2022)
  • Table 107. MEA Digital Twins, by Application USD Million (2017-2022)
  • Table 108. MEA Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 109. MEA Digital Twins, by Technology USD Million (2017-2022)
  • Table 110. Middle East Digital Twins, by Type USD Million (2017-2022)
  • Table 111. Middle East Digital Twins, by Application USD Million (2017-2022)
  • Table 112. Middle East Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 113. Middle East Digital Twins, by Technology USD Million (2017-2022)
  • Table 114. Africa Digital Twins, by Type USD Million (2017-2022)
  • Table 115. Africa Digital Twins, by Application USD Million (2017-2022)
  • Table 116. Africa Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 117. Africa Digital Twins, by Technology USD Million (2017-2022)
  • Table 118. North America Digital Twins, by Country USD Million (2017-2022)
  • Table 119. North America Digital Twins, by Type USD Million (2017-2022)
  • Table 120. North America Digital Twins, by Application USD Million (2017-2022)
  • Table 121. North America Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 122. North America Digital Twins, by Technology USD Million (2017-2022)
  • Table 123. United States Digital Twins, by Type USD Million (2017-2022)
  • Table 124. United States Digital Twins, by Application USD Million (2017-2022)
  • Table 125. United States Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 126. United States Digital Twins, by Technology USD Million (2017-2022)
  • Table 127. Canada Digital Twins, by Type USD Million (2017-2022)
  • Table 128. Canada Digital Twins, by Application USD Million (2017-2022)
  • Table 129. Canada Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 130. Canada Digital Twins, by Technology USD Million (2017-2022)
  • Table 131. Mexico Digital Twins, by Type USD Million (2017-2022)
  • Table 132. Mexico Digital Twins, by Application USD Million (2017-2022)
  • Table 133. Mexico Digital Twins, by Industry Vertical USD Million (2017-2022)
  • Table 134. Mexico Digital Twins, by Technology USD Million (2017-2022)
  • Table 135. Digital Twins: by Type(USD/Units)
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Company Basic Information, Sales Area and Its Competitors
  • Table 146. Company Basic Information, Sales Area and Its Competitors
  • Table 147. Digital Twins: by Type(USD Million)
  • Table 148. Digital Twins Parts Twin , by Region USD Million (2023-2028)
  • Table 149. Digital Twins Product Twin , by Region USD Million (2023-2028)
  • Table 150. Digital Twins Process Twin , by Region USD Million (2023-2028)
  • Table 151. Digital Twins System Twin , by Region USD Million (2023-2028)
  • Table 152. Digital Twins: by Application(USD Million)
  • Table 153. Digital Twins Product Design and Development , by Region USD Million (2023-2028)
  • Table 154. Digital Twins Machine and Equipment Health Monitoring , by Region USD Million (2023-2028)
  • Table 155. Digital Twins Predictive Maintenance , by Region USD Million (2023-2028)
  • Table 156. Digital Twins Dynamic Optimization , by Region USD Million (2023-2028)
  • Table 157. Digital Twins: by Industry Vertical(USD Million)
  • Table 158. Digital Twins Aerospace & Defense , by Region USD Million (2023-2028)
  • Table 159. Digital Twins Automotive & Transportation , by Region USD Million (2023-2028)
  • Table 160. Digital Twins Home & Commercial , by Region USD Million (2023-2028)
  • Table 161. Digital Twins Electronics & Electricals/Machine Manufacturing , by Region USD Million (2023-2028)
  • Table 162. Digital Twins Energy & Utilities , by Region USD Million (2023-2028)
  • Table 163. Digital Twins Healthcare , by Region USD Million (2023-2028)
  • Table 164. Digital Twins Retail & Consumer Goods , by Region USD Million (2023-2028)
  • Table 165. Digital Twins: by Technology(USD Million)
  • Table 166. Digital Twins IoT & IIoT , by Region USD Million (2023-2028)
  • Table 167. Digital Twins Blockchain , by Region USD Million (2023-2028)
  • Table 168. Digital Twins Artificial Intelligence & Machine Learning , by Region USD Million (2023-2028)
  • Table 169. Digital Twins Augmented Reality, Virtual Reality, and Mixed Reality , by Region USD Million (2023-2028)
  • Table 170. Digital Twins Big Data Analytics , by Region USD Million (2023-2028)
  • Table 171. Digital Twins 5G , by Region USD Million (2023-2028)
  • Table 172. South America Digital Twins, by Country USD Million (2023-2028)
  • Table 173. South America Digital Twins, by Type USD Million (2023-2028)
  • Table 174. South America Digital Twins, by Application USD Million (2023-2028)
  • Table 175. South America Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 176. South America Digital Twins, by Technology USD Million (2023-2028)
  • Table 177. Brazil Digital Twins, by Type USD Million (2023-2028)
  • Table 178. Brazil Digital Twins, by Application USD Million (2023-2028)
  • Table 179. Brazil Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 180. Brazil Digital Twins, by Technology USD Million (2023-2028)
  • Table 181. Argentina Digital Twins, by Type USD Million (2023-2028)
  • Table 182. Argentina Digital Twins, by Application USD Million (2023-2028)
  • Table 183. Argentina Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 184. Argentina Digital Twins, by Technology USD Million (2023-2028)
  • Table 185. Rest of South America Digital Twins, by Type USD Million (2023-2028)
  • Table 186. Rest of South America Digital Twins, by Application USD Million (2023-2028)
  • Table 187. Rest of South America Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 188. Rest of South America Digital Twins, by Technology USD Million (2023-2028)
  • Table 189. Asia Pacific Digital Twins, by Country USD Million (2023-2028)
  • Table 190. Asia Pacific Digital Twins, by Type USD Million (2023-2028)
  • Table 191. Asia Pacific Digital Twins, by Application USD Million (2023-2028)
  • Table 192. Asia Pacific Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 193. Asia Pacific Digital Twins, by Technology USD Million (2023-2028)
  • Table 194. China Digital Twins, by Type USD Million (2023-2028)
  • Table 195. China Digital Twins, by Application USD Million (2023-2028)
  • Table 196. China Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 197. China Digital Twins, by Technology USD Million (2023-2028)
  • Table 198. Japan Digital Twins, by Type USD Million (2023-2028)
  • Table 199. Japan Digital Twins, by Application USD Million (2023-2028)
  • Table 200. Japan Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 201. Japan Digital Twins, by Technology USD Million (2023-2028)
  • Table 202. India Digital Twins, by Type USD Million (2023-2028)
  • Table 203. India Digital Twins, by Application USD Million (2023-2028)
  • Table 204. India Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 205. India Digital Twins, by Technology USD Million (2023-2028)
  • Table 206. South Korea Digital Twins, by Type USD Million (2023-2028)
  • Table 207. South Korea Digital Twins, by Application USD Million (2023-2028)
  • Table 208. South Korea Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 209. South Korea Digital Twins, by Technology USD Million (2023-2028)
  • Table 210. Taiwan Digital Twins, by Type USD Million (2023-2028)
  • Table 211. Taiwan Digital Twins, by Application USD Million (2023-2028)
  • Table 212. Taiwan Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 213. Taiwan Digital Twins, by Technology USD Million (2023-2028)
  • Table 214. Australia Digital Twins, by Type USD Million (2023-2028)
  • Table 215. Australia Digital Twins, by Application USD Million (2023-2028)
  • Table 216. Australia Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 217. Australia Digital Twins, by Technology USD Million (2023-2028)
  • Table 218. Rest of Asia-Pacific Digital Twins, by Type USD Million (2023-2028)
  • Table 219. Rest of Asia-Pacific Digital Twins, by Application USD Million (2023-2028)
  • Table 220. Rest of Asia-Pacific Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 221. Rest of Asia-Pacific Digital Twins, by Technology USD Million (2023-2028)
  • Table 222. Europe Digital Twins, by Country USD Million (2023-2028)
  • Table 223. Europe Digital Twins, by Type USD Million (2023-2028)
  • Table 224. Europe Digital Twins, by Application USD Million (2023-2028)
  • Table 225. Europe Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 226. Europe Digital Twins, by Technology USD Million (2023-2028)
  • Table 227. Germany Digital Twins, by Type USD Million (2023-2028)
  • Table 228. Germany Digital Twins, by Application USD Million (2023-2028)
  • Table 229. Germany Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 230. Germany Digital Twins, by Technology USD Million (2023-2028)
  • Table 231. France Digital Twins, by Type USD Million (2023-2028)
  • Table 232. France Digital Twins, by Application USD Million (2023-2028)
  • Table 233. France Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 234. France Digital Twins, by Technology USD Million (2023-2028)
  • Table 235. Italy Digital Twins, by Type USD Million (2023-2028)
  • Table 236. Italy Digital Twins, by Application USD Million (2023-2028)
  • Table 237. Italy Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 238. Italy Digital Twins, by Technology USD Million (2023-2028)
  • Table 239. United Kingdom Digital Twins, by Type USD Million (2023-2028)
  • Table 240. United Kingdom Digital Twins, by Application USD Million (2023-2028)
  • Table 241. United Kingdom Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 242. United Kingdom Digital Twins, by Technology USD Million (2023-2028)
  • Table 243. Netherlands Digital Twins, by Type USD Million (2023-2028)
  • Table 244. Netherlands Digital Twins, by Application USD Million (2023-2028)
  • Table 245. Netherlands Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 246. Netherlands Digital Twins, by Technology USD Million (2023-2028)
  • Table 247. Rest of Europe Digital Twins, by Type USD Million (2023-2028)
  • Table 248. Rest of Europe Digital Twins, by Application USD Million (2023-2028)
  • Table 249. Rest of Europe Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 250. Rest of Europe Digital Twins, by Technology USD Million (2023-2028)
  • Table 251. MEA Digital Twins, by Country USD Million (2023-2028)
  • Table 252. MEA Digital Twins, by Type USD Million (2023-2028)
  • Table 253. MEA Digital Twins, by Application USD Million (2023-2028)
  • Table 254. MEA Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 255. MEA Digital Twins, by Technology USD Million (2023-2028)
  • Table 256. Middle East Digital Twins, by Type USD Million (2023-2028)
  • Table 257. Middle East Digital Twins, by Application USD Million (2023-2028)
  • Table 258. Middle East Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 259. Middle East Digital Twins, by Technology USD Million (2023-2028)
  • Table 260. Africa Digital Twins, by Type USD Million (2023-2028)
  • Table 261. Africa Digital Twins, by Application USD Million (2023-2028)
  • Table 262. Africa Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 263. Africa Digital Twins, by Technology USD Million (2023-2028)
  • Table 264. North America Digital Twins, by Country USD Million (2023-2028)
  • Table 265. North America Digital Twins, by Type USD Million (2023-2028)
  • Table 266. North America Digital Twins, by Application USD Million (2023-2028)
  • Table 267. North America Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 268. North America Digital Twins, by Technology USD Million (2023-2028)
  • Table 269. United States Digital Twins, by Type USD Million (2023-2028)
  • Table 270. United States Digital Twins, by Application USD Million (2023-2028)
  • Table 271. United States Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 272. United States Digital Twins, by Technology USD Million (2023-2028)
  • Table 273. Canada Digital Twins, by Type USD Million (2023-2028)
  • Table 274. Canada Digital Twins, by Application USD Million (2023-2028)
  • Table 275. Canada Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 276. Canada Digital Twins, by Technology USD Million (2023-2028)
  • Table 277. Mexico Digital Twins, by Type USD Million (2023-2028)
  • Table 278. Mexico Digital Twins, by Application USD Million (2023-2028)
  • Table 279. Mexico Digital Twins, by Industry Vertical USD Million (2023-2028)
  • Table 280. Mexico Digital Twins, by Technology USD Million (2023-2028)
  • Table 281. Digital Twins: by Type(USD/Units)
  • Table 282. Research Programs/Design for This Report
  • Table 283. Key Data Information from Secondary Sources
  • Table 284. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Digital Twins: by Type USD Million (2017-2022)
  • Figure 5. Global Digital Twins: by Application USD Million (2017-2022)
  • Figure 6. Global Digital Twins: by Industry Vertical USD Million (2017-2022)
  • Figure 7. Global Digital Twins: by Technology USD Million (2017-2022)
  • Figure 8. South America Digital Twins Share (%), by Country
  • Figure 9. Asia Pacific Digital Twins Share (%), by Country
  • Figure 10. Europe Digital Twins Share (%), by Country
  • Figure 11. MEA Digital Twins Share (%), by Country
  • Figure 12. North America Digital Twins Share (%), by Country
  • Figure 13. Global Digital Twins: by Type USD/Units (2017-2022)
  • Figure 14. Global Digital Twins share by Players 2022 (%)
  • Figure 15. Global Digital Twins share by Players (Top 3) 2022(%)
  • Figure 16. Global Digital Twins share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. General Electric (United States) Revenue, Net Income and Gross profit
  • Figure 19. General Electric (United States) Revenue: by Geography 2022
  • Figure 20. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 21. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 22. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 23. Microsoft Corporation (United States) Revenue: by Geography 2022
  • Figure 24. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 25. Oracle Corporation (United States) Revenue: by Geography 2022
  • Figure 26. HP (United States) Revenue, Net Income and Gross profit
  • Figure 27. HP (United States) Revenue: by Geography 2022
  • Figure 28. ANSYS, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 29. ANSYS, Inc. (United States) Revenue: by Geography 2022
  • Figure 30. Dassault Systèmes (France) Revenue, Net Income and Gross profit
  • Figure 31. Dassault Systèmes (France) Revenue: by Geography 2022
  • Figure 32. Siemens AG (Germany) Revenue, Net Income and Gross profit
  • Figure 33. Siemens AG (Germany) Revenue: by Geography 2022
  • Figure 34. Robert Bosch GmbH (Germany) Revenue, Net Income and Gross profit
  • Figure 35. Robert Bosch GmbH (Germany) Revenue: by Geography 2022
  • Figure 36. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 37. Amazon Web Services (United States) Revenue: by Geography 2022
  • Figure 38. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 39. SAP (Germany) Revenue: by Geography 2022
  • Figure 40. Global Digital Twins: by Type USD Million (2023-2028)
  • Figure 41. Global Digital Twins: by Application USD Million (2023-2028)
  • Figure 42. Global Digital Twins: by Industry Vertical USD Million (2023-2028)
  • Figure 43. Global Digital Twins: by Technology USD Million (2023-2028)
  • Figure 44. South America Digital Twins Share (%), by Country
  • Figure 45. Asia Pacific Digital Twins Share (%), by Country
  • Figure 46. Europe Digital Twins Share (%), by Country
  • Figure 47. MEA Digital Twins Share (%), by Country
  • Figure 48. North America Digital Twins Share (%), by Country
  • Figure 49. Global Digital Twins: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • General Electric (United States)
  • IBM Corporation (United States)
  • Microsoft Corporation (United States)
  • Oracle Corporation (United States)
  • HP (United States)
  • ANSYS, Inc. (United States)
  • Dassault Systèmes (France)
  • Siemens AG (Germany)
  • Robert Bosch GmbH (Germany)
  • Amazon Web Services (United States)
  • SAP (Germany)
Additional players considered in the study are as follows:
PTC, Inc. (United States) , Altair (United States) , Autodesk (United States) ,
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Apr 2024 217 Pages 89 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Digital Twins Market Quantitative research analysis
Global Digital Twins Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

"Adoption of IOT and Cloud Platforms " is seen as one of major influencing trends for Digital Twins Market during projected period 2022-2028.
The Concentration Rate of Global Digital Twins market is highlighted using HHI Index.
United States Players will contribute the maximum growth of Global Digital Twins market throughout the predicted period.
North America holds highest share for Digital Twins Market .

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