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Elsevier

Company Digital Twins

Emerging Trends, Technologies, and Applications

  • 1st Edition - December 1, 2026
  • Latest edition
  • Editor: Joseph Bamidele Awotunde
  • Language: English

The concept of the digital twin, a virtual representation of a physical system, has gained significant attention due to advancements in Artificial Intelligence, Internet of Things,… Read more

Description

The concept of the digital twin, a virtual representation of a physical system, has gained significant attention due to advancements in Artificial Intelligence, Internet of Things, and data analytics. It plays a crucial role in enhancing efficiency, sustainability, and decision-making across industries, such as manufacturing, healthcare, and urban planning. The timeliness of this topic lies in the rapid digital transformation and the increasing complexity of systems requiring real-time, intelligent management to achieve competitive advantages and sustainability goals. Company Digital Twins explores virtual companies based on digital twin technologies. Digital twin computing not only reduces the gap between a real company and a virtual company, but generates new datasets, making the company digital twin a bridge between the real and virtual company. A company digital twin is also the mirror that reflects the real company into the virtual company. The structure of the book is comprised of 15 chapters that discuss the foundational concepts emerging trends, underlying technologies, practical applications; and future directions, and includes data security and privacy concerns, integration issues, and the scalability of digital twins across large companies. Sitting within the series, Advances in Digital Twin Computing and Sensor Networks, Company Digital Twins is essential reading for anyone who needs to benefit from the capabilities of digital twins within the organization.

Key features

  • Discusses how companies use digital twins for real-time decision-making and strategic foresight
  • Covers sectors embracing this technology, including manufacturing, healthcare, smart cities, agriculture, transportation, retail, etc
  • Highlights trends in digital twin applications for improving efficiency, sustainability, and innovation in companies
  • Explores technological components such as Internet of Things, Artificial Intelligence, big data analytics, blockchain, and cloud computing
  • Examines challenges such as data security, integration complexity, and scalability, and offers insights into future developments

Readership

Researchers in the fields of computer science, computer engineering, electrical and electronic engineering.

Table of contents

Part 1: Foundations of Company Digital Twins

1. Introduction to Digital Twins: Overview, history, and evolution of the digital twin concept.

2. Introduction to Company Digital Twins: Overview, basic concepts and application of the company digital twin

3. Understanding the Company Digital Twin: Definition, scope, and unique attributes of company-level digital twins.

4. Digital Twin Frameworks and Architectures: Key architectural designs and industry standards.

5. Emerging Technologies in Company Digital Twins

Part 2: Technologies Enabling Company Digital Twins

6. The Role of IoT and Edge Computing in Company Digital Twin: Sensors, data collection, and real-time monitoring.

7. AI and Machine Learning in Digital Twins: Predictive analytics, optimization, and decision support.

8. Big Data and Cloud Computing Integration in Company Digital Twin: Data storage, processing, and scalability challenges.

9. Blockchain for Company Digital Twins: Ensuring data integrity, security, and transparent transactions.

10. AR, VR, and XR in Digital Twin Visualization: Immersive environments for real-time interaction.

Part 3: Emerging Trends and Future Directions

11. Digital Twins in the Metaverse: Blending virtual and physical company environments.

12. Ethical, Security and Privacy Challenges: Addressing concerns around data use and AI ethics.

13. Future of Company Digital Twins: Speculations on upcoming technologies and market trends.

14. Smart sensor networks in the company manufacturing activities

15. Integrating Digital Twins with Business Strategy: Aligning technology with organizational goals.

Product details

  • Edition: 1
  • Latest edition
  • Published: December 1, 2026
  • Language: English

About the editor

JA

Joseph Bamidele Awotunde

Dr. Joseph Bamidele Awotunde is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics. He has to his credit over one hundred and fifty publications in reputable outlets like Elsevier, Springer, Hindawi among others covering journals, edited conference proceedings and chapters in books. He was part of the team that won the Artificial Intelligence for Females in Science Technology, Engineering and Mathematics (AI4FS) Grant sponsored by Royal Academy of Engineering (Higher Education Partnerships in sub-Saharan Africa (HEP SSA) 22/24). He is an Associate Editor of the PLOS ONE, and IEEE Transactions on Neural Systems & Rehabilitation Engineering. He is also a member of many professional bodies within and outside Nigeria such as International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS). Internet Society.

Affiliations and expertise
Lecturer, University of Ilorin, Ilorin, Nigeria