digital twin technology
Model designed to generate a virtual representation of an object or system updated from real-time data. The virtual representation process is through the combination of data and technology simulation, using sensors to produce data of the physical object, such as temperature or energy to build its digital twin. Machine learning, simulation and reasoning are involved in this process.
digital twin technology — model designed to generate a virtual representation of an object or system updated from real-time data. McKinsey's Skill Change Index places it in the declining band (SCI 52.6/100) — a skill likely to fall in demand as AI and automation cover more of its ground by 2030. ESCO classifies it as a sector-specific (rooted in one industry) skill within knowledge. It is currently listed by 5 occupations in our catalogue, including optoelectronic engineer, sensor engineer, sensor engineering technician, and Photonics Engineers.
Occupations that require digital twin technology
Showing top 5 of 5 occupations · ranked by India employment volume, then AI-durability.
Frequently asked questions
What is digital twin technology?
Model designed to generate a virtual representation of an object or system updated from real-time data. The virtual representation process is through the combination of data and technology simulation, using sensors to produce data of the physical object, such as temperature or energy to build its digital twin. Machine learning, simulation and reasoning are involved in this process.
What category of skill is digital twin technology?
ESCO classifies digital twin technology under the knowledge category, specifically in the software and applications development and analysis subcategory.
Is digital twin technology an AI-durable skill?
McKinsey's Skill Change Index places it in the declining band (SCI 52.6/100) — a skill likely to fall in demand as AI and automation cover more of its ground by 2030. Prioritise this skill only when it directly enables paid work today — plan for AI to absorb more of it every year.
Which jobs require digital twin technology?
In our catalogue, 5 occupations list digital twin technology as a required or important skill. The top occupations by employment volume include optoelectronic engineer, sensor engineer, sensor engineering technician, Photonics Engineers, computer vision engineer.
How transferable is digital twin technology between industries?
ESCO tags digital twin technology as a sector-specific (rooted in one industry) skill — a signal of how portable it is when you change field.
Is digital twin technology the same as digital modelling technology?
Yes — digital twin technology is also known as digital modelling technology, virtual twin model, or digital replication technology. They refer to the same underlying capability in the ESCO taxonomy.
How can I learn digital twin technology?
The most reliable path is to pick a job or project that demands digital twin technology and learn through delivery. Complement that with role-specific roadmaps and short courses. Explore the occupations below to see where this skill is used in practice.