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GO TO COLLECTIONDigital twin is a hot topic in manufacturing. This report analyzes data from an end-user survey on perceptions, readiness, and the challenges organizations face in adopting and investing in digital twins. It also highlights use cases.
Senior Analyst, Government and Manufacturing
As part of Omdia’s Industrial IoT, software and communications service area, Anthony focuses on industrial software. He provides unique and valuable research and consulting about manufacturing software (manufacturing execution systems, product lifecycle management, digital twin, and IT/OT convergence) through thought leadership.
Prior to joining Omdia in 2021, Anthony worked for five years as a software consultant. He delivered solutions, modules, and device control installations using MES software in the foods industry internationally. Based in London, Anthony holds a Bachelor of Arts (Hons.) in international business management from the London Metropolitan University.
Senior Research Analyst, IoT Technologies and Verticals, AI & IoT
As part of Omdia’s IoT practice, Eleftheria covers a range of topics and trends. Her specialist areas of coverage include service provider IoT strategies, AR/VR adoption in IoT, and key IoT vertical markets, including connected cars and smart cities. Eleftheria is based in the London office.
Prior to joining Omdia, Eleftheria worked as a market research analyst at ABI Research, focusing on the AR and VR market and consumer technologies. Before joining ABI Research, she spent a year as an intern at Vodafone in the IoT Enterprise and Communication teams. Elef holds a bachelor’s degree in economics from the University of Peloponnese in Greece and a master’s degree in business and human resources management from Aston University in Birmingham, UK.
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Report / 20 Sep 2022 / Eleftheria Kouri
This report examines the current Digital Twin (DT) landscape covering its key technologies, current challenges and market drivers, a couple of digital twin applications per vertical and a brief analysis of the DT vendor ecosystem.
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Analyst Opinion / 11 Jan 2022 / Eleftheria Kouri
This analyst insight provides an overview of AWS's new solution, the IoT TwinMaker, which was launched in November 2021 at AWS re:Invent.
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Report / 02 Jun 2019 / Keith Kirkpatrick
A digital twin is a digital representation that provides the elements and dynamics of how a device or ecosystem operates and lives throughout its life cycle. Digital twins are useful for simulating the capabilities of machine tools in a safe and cost-effective way, as well as identifying the root causes of problems occurring in physical tools or infrastructure. If a physical machine tool breaks down or malfunctions, engineers can evaluate the digital traces of the digital twins’ virtual machines for diagnosis and prognosis. The digitization of nearly every industry type is helping to fuel the demand for twinning platforms, as is the desire to monitor, control, and model the future behavior of real-world equipment, systems, and environments. However, like any technology, digital twins must be understood and accepted by several different stakeholders, from the operations workers up to the C-suite. Meanwhile, vendors are highlighting their expertise in analytics and demonstrating domain expertise with specific industry verticals. Some are also spotlighting their experience with incorporating artificial intelligence (AI) and machine learning (ML) technologies, which can provide the ability to model future behavior via digital twins. These technologies are anticipated to drive the functionality of digital twins beyond simply being enhanced analytics tools. Global revenue for digital twins is expected to increase to $9.4 billion in 2025, up from $2.4 billion in 2018. This Tractica report examines 28 use cases for digital twins across industry groups, including manufacturing, aerospace, connected vehicles, smart cities, retail, healthcare, industrial Internet of Things (IoT), and other industries. The report discusses the drivers and barriers related to digital twins, with insight into the growing use of IIoT networks, machine learning technology, and 3D visualization technology. Market forecasts, segmented by world region, use case, and industry, extend through 2025. The study also analyzes the technologies and applications for digital twins and provides profiles of key industry players.
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