A citizen twin is the digital twin of the person or the creation of a virtual replica of a person—this would represent humans in both the real and virtual worlds. Citizen twin is developed with real-time context on organized digital services. The technology helps predict any unusual events for citizens and validates different what-if scenarios, offering the citizen the best engagement choice.
The global citizen twin market size is expected to grow from USD XX million in 2022 to USD XX million by 2028, at a CAGR of XX%. The key factors boosting market growth are the rising adoption of citizen twin for predicting diseases in the healthcare industry.
Download PDF:
https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=177978047
Drivers: Citizen twin is expected to be highly adopted in the healthcare industry
With the rapid spread of the novel coronavirus, the healthcare and pharmaceutical industries are at the forefront of combating the pandemic. The pandemic has created real-world use cases for digital representations of a human’s physical being. Implementing citizen twins helps create a digital version of biometric measurements, such as glucose levels and heart rate. Additionally, citizen twins are also used to monitor health, enhance the surgical outcome, alert the system and recognize the pathology before the disorders are evident. Moreover, the digital human blueprint can also help predict future health issues and can be used to suggest a treatment. Hence, the rising use of citizen twins in the healthcare industry is expected to drive the market's growth.
Challenges: Lack of skilled workforce
The creation of a citizen twin a person requires various technologies and skillsets, along with trained workers to handle the latest software systems. The digital change will lead to a change in the specifications of skills required for employees at different stages of the value chain. The expected increase in working efficiency and data-dependency of processes would lead to the requirement of new employee skill sets and high qualifications. This could create a skill gap between the new workers and trained workers. Thus, the unavailability of a skilled workforce would hamper the market's growth.