Applications of Digital Twin technology have been growing at an exponential rate, and it is transforming the way businesses operate. In the past few years, Digital Twins leveraged vital business applications, and it is predicted that the technology will expand to more applications, use cases, and industries. The purpose of this paper is to do a literature review and explore how Digital Twins streamline intelligent automation in different industries. This paper defines the concept, highlights the evolution and development of Digital Twins, reviews its key enabling technologies, examines its trends and challenges, and explores its applications in different industries.
1. Introduction
Digital Twin is attracting attention from practitioners and scholars alike. Today, the technology is used across many industries to provide accurate virtual representations of objects and simulations of operational processes. In 2019, a Gartner survey revealed that Digital Twins were entering mainstream use by organizations. It predicted that 75 percent of
Internet of Things (IoT) organizations also use
Digital Twin technology or plan to use it by 2020
[1],
[2]. Gartner also estimates that by 2027, over 40 percent of large companies worldwide will be using Digital Twin in their projects to increase revenue
[3].
Moreover, Global Market Insight estimated that the Digital Twin market size estimated in 2022 at $8 billion is expected to grow at around 25 percent
Compound Annual Growth Rate (CAGR) from 2023 to 2032
[4]. Finally, according to another recent report by global technology research, the Digital Twin market is set to grow by nearly $32 billion from 2021 to 2026
[5]. In addition, according to a 2022 report, nearly 60 percent of executives across a broad spectrum of industry plan to incorporate Digital Twins within their operations by 2028
[6].
Digital Twin is a cutting-edge technology that has revolutionized the industry by mirroring almost every facet of a product, process, or service. It has the potential to replicate everything in the physical world in the digital space and provide engineers with feedback from the virtual world
[7]. As a result, the technology enables companies to quickly detect and solve physical problems, design and build better products, and realize value and benefits faster than previously possible. Furthermore, the Digital Twin technology enables businesses to improve business processes and performance
[8].
The research started by developing key concepts based on a narrative literature review in the Scopus database and Google Scholar and searched for papers that included Digital Twin or Digital Twins in the title. Articles were selected from Journal articles, research articles, conference publications, research reports, or scientific encyclopedias. We reviewed the documents to find answers to the following questions: What is a Digital Twin, what technologies are used, what are the current applications of Digital Twins in different industries, and what are the challenges and opportunities facing this growing technology? We selected research papers that defined the concept, reviewed its related technologies, and highlighted its applications and trends in different industries. Section
2 provides the main perspectives and definitions of Digital Twins in literature. Section
3 reviews four enabling technologies of the Digital Twins. Section
4 studies Digital Twin applications and use cases of different industries. Section
5 highlights the challenges and opportunities of this technology. Finally, Section
6 provides a summary and conclusions. Section 7 provides references.
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