Digital twin technology allows creating virtual models of real-world systems that can be used to assess current performance, predict faults, and simulate future changes. A digital twin must answer what is happening now, what could happen, and what should happen next. They have applications in manufacturing, healthcare, energy, and more. Enabling technologies include the Internet of Things, cloud computing, artificial intelligence, and augmented/mixed/virtual reality. While digital twins provide benefits like improved optimization and reduced downtime, challenges to adoption include issues with connectivity, data security, cost awareness, and expectations that the technology can solve all problems. The global digital twin market is projected to grow significantly in coming years.

1. MENTORED BY MR. SUMIT JOSHI ROLL NO.: 19UECE5010
M.B.M University, Jodhpur
- By Harish Begad
DIGITAL TWIN
TECHNOLOGY

2. A Digital Twin is a Virtual Model of a real-world object, machine, or system that can
be used to assess how the real-world counterpart is performing, diagnose or predict
faults, or simulate how future changes could alter its behavior.
WHAT IS DIGITAL TWIN?

3. APOLLO 13: THE FIRST DIGITAL TWIN

4. YOUR DIGITAL TWINS
MUST ANSWER THREE
FUNDAMENTAL
QUESTIONS.
What now?
What if?
What next?

5. APPLICATIONS
Manufacturing
Industrial Products
Healthcare
Energy sector
Retail and E-Commerce

6. UNDERLYING TECHNOLOGIES ENABLING
DIGITAL TWINS
The Internet of Things (IOT)
Cloud Computing
Artificial Intelligence (AI)
Augmented, Mixed, and Virtual Reality

7. Allows you to anticipate potential problems that may arise in the future.
Improvement and optimization of production processes through real information.
Reduction of maintenance costs by performing preventive maintenance tasks.
Reduce unplanned downtime due to potential errors.
Real-time monitoring.
ADVANTAGES

8. DISADVANTAGES
The success of technology is dependent on the internet connectivity.
The digital twin concept is based on 3D CAD models not on 2D drawing.
Here, CAD: Computer Aided Design

9. DATA, PRIVACY AND SECURITY: Speaking of the constraints holding back the massive adoption of digital twin technology, data
security due to the widespread use of IoT and Cloud platforms is one of the main ones. With the proliferation of cyberattacks on critical Cloud infrastructures over
the past decade, cybersecurity has become a major concern for industrial automation users and vendors. As such, the growing threat to the security of data
connected to the Cloud is expected to be a major impediment to the growth of the digital twin market.
COST AWARENESS: Another major challenge on the path to efficiently designing and deploying digital twins is the lack of awareness of the cost-
benefit of implementing digital twins.
CONNECTIVITY: Despite the growth in IOT use, the challenges of connectivity still exist. These are esp. prevalent when trying to achieve the goal of
real-time monitoring. A large no. of sensors within one manufacturing process poses a significant challenge when trying to connect all of them simultaneously.
EXPECTATIONS: The last of all challenges would be that it can be used to solve all our problems as this field is still in its infancy.
CHALLENGES

10. THE GLOBAL DIGITAL TWIN MARKET SIZE WAS
VALUED AT $6.9 BILLION IN 2022 AND IS
PROJECTED TO REACH $73.5 BILLION BY 2027. IT
IS EXPECTED TO GROW AT A CAGR OF 60.6%
OVER THE FORECAST PERIOD.
Here, CAGR: Compound Annual Growth Rate

11. - Jeanne W. Ross, MIT Sloan’s Center for Information Systems Research
“CLEARLY, THE THING THAT’S
TRANSFORMING IS NOT THE
TECHNOLOGY — THE TECHNOLOGY IS
TRANSFORMING YOU.”

12. THANK YOU!