AI Business is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 3099067.

Manufacturing

Spending on digital twins projected to reach $12.7 billion in 2021

by Chuck Martin
Article ImageAs manufacturers look to improve their processes

Driven primarily by the manufacturing sector, worldwide spending on digital twin technology is expected to reach $12.7 billion in 2021, reports Juniper Research. That would mark an increase of 17% from $10.8 billion in 2019.

Juniper defines a digital twin as “a virtual model representation of a connected physical product, process or service across its whole lifecycle (design, build, operate).

The virtual replica uses operational real-time data and other sources of information to enable detection of issues, advance both learning and understanding, as well as test and simulate scenarios in the physical model counterpart.”

The technology relies on artificial intelligence to enable certain use cases, like predictive maintenance.

VR for machines

As the largest single sector for digital twin deployment, manufacturing is projected to account for 34% of total spending in 2021, followed by energy and utilities at 18%.

North America is set to dominate spending, accounting for 67% of manufacturing spending in 2021, according to Juniper.

A 1% drop in overall digital twin spending in 2020 is estimated, likely connected to the impact of COVID-19.

Investments are being driven by gains in efficiencies, enabled by technology innovations in machine learning, AI, big data analysis and cloud solutions.

Virtual, connected products range from connected cars and airplane turbines to smart buildings and cities.

Digital twins first gained traction in manufacturing for product design, simulation and modeling, to show how to optimize processes or extend product lifecycles.

This field leverages AI, IoT, product lifecycle management, enterprise resource planning, high-power computing, predictive engineering and mixed reality technologies.

Several developments in recent years fueled the development of digital twins. These include high-speed networks facilitating the collection of large amounts of real-time data, the improved quality of data, the rise of AI allowing systems to learn from collated data, and edge intelligence in IoT systems enabling products or services to act independently, according to Juniper.

Practitioner Portal - for AI practitioners

Story

UK's ICO publishes guidance on AI and data protection

8/3/2020

The document aims to help organizations mitigate the risks of using personal data in AI applications

Story

Perfect AI model, broken app: Integration patterns and testing needs

7/24/2020

It is a long way from having a working machine learning model on a local laptop to having a full-fledged fashion store with a mobile app incorporating this model

Practitioner Portal

EBooks

More EBooks

Upcoming Webinars

More Webinars

Experts in AI

Partner Perspectives

content from our sponsors

Research Reports

9/30/2019
More Research Reports

Infographics

AI tops the list of most impactful emerging technologies

Infographics archive

Newsletter Sign Up


Sign Up