Digital Twins – Thematic Research

Digital twins are digital representations of physical assets, systems, or processes.

They help to detect, prevent, predict, and optimize the physical environment through the use of artificial intelligence (AI), real-time analytics, visualization, and simulation tools. Conceptually, digital twins have been around for decades. A forerunner was used in the Apollo 13 mission to the moon in 1970.

It has taken nearly 20 years for digital twins to mature, and though they have grown up quickly in recent years, there is a lot more growing to do.

Scope

This report provides an overview of the digital twins theme.

It identifies the key trends impacting growth of the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.

It includes a comprehensive industry analysis, including use cases for digital twins across a range of industries, including manufacturing, power, oil and gas, healthcare, construction, automotive, and aerospace and defense.

The detailed value chain comprises six layers: a physical layer, a connectivity layer, a data layer, a platform layer, an app layer, and a services layer.

Key Highlights

To truly fulfill their potential, digital twins must quickly evolve into a meaningful construct and not just another technology concept in the broader Internet of Things (IoT). Digital twins are a tool with various applications, from factories to government to hospitals. They can be used to understand and respond to rapidly changing circumstances. During the COVID-19 pandemic, digital twins have supported organizations modeling how to respond to the crisis.

Reasons to buy

The range of potential use cases for digital twins is extensive. They range from design and architecture to engineering, smart cities, aerospace and defense, power, oil and gas, and, probably the most advanced, a digital twin of the human body. This report tells you everything you need to know about digital twins, including identifying the current leaders in some of the most important segments of our digital twins value chain.

Companies mentioned

Dassault Systèmes

Bentley Systems

PTC

IBM

Ansys

Siemens

GE

Microsoft

Atkins

Unity

Epic Games

Northrop Grumman

Orca Health

Iotics

Cityzenith

Slingshot Simulations

Accenture

Bosch

Schneider Electric

Mott McDonald

Arup

Tesla

KBR

Amazon

Dell

Cisco

HPE

Alphabet

Huawei

Nokia

Oracle

Nvidia

Intel

SAP

Lenovo

SAIC

Salesforce

SAS

Splunk

TIBCO

Cloudera

Qlik

Teradata

Software AG

Informatica

Imec

Table of Contents

Executive summary

Players

Technology briefing

Trends

Industry analysis

Value chain

Companies

Sector scorecards

Glossary

Further reading

Thematic methodology

    Pricing

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