Educational Robot Market : Drivers, Restraints, Opportunities, And Challenges to 2027
The educational robot market is expected to grow from USD 1.3 billion in 2021 to USD 2.6 billion by 2026, at a CAGR of 16.1% during the forecast period. Steady deployment of robots in manufacturing industries is facilitating the growth robotic education and training centres . Growing demand for collaborative robots across education and industry segments is expected to promote new job opportunities in the industrial robot segment as well. Meanwhile, research and development on humanoid robots to transform the service industry. These are the primary drivers pertaining to the educational robot market.
There has been a rise in the number of secondary schools around the
world that offer robotics classes and related disciplines to prepare students
for industries being transformed by robotic automation. The schools are
adapting educational materials developed by industrial robot manufacturers and
building special labs. The idea is to give the students a foundation on
industrial technology’s workings and, in some cases, expose them to careers in
the automated manufacturing industry. The goal of such schools is for
participants to gain a basic foundation in programming and operating industrial
robots. Students can also receive a certificate that recognizes their
proficiency in operating a robotic arm from any industrial robot manufacturer
that is being adopted by their school. This is expected to provide a market opportunity
for industrial robot education for the high school education segment.
Humanoid
robots are gaining popularity because their human-like appearance influences
user acceptance and trust. There is a high demand for humanoid robots in the
healthcare and education sectors. Such robots are used to treat autistic
children and have been able to reduce distress levels in children having cancer
and cerebral palsy. In the domain of education, humanoid robots have been able
to enhance student participation. The human-like structure also aids in
functional purposes, such as interacting with human tools and environments. Humanoid
robots easily create an empathetic link with small children, inspire and drive
them for physical and intellectual exercises, and develop social and emotional
skills. Humanoid robots are already being used to implement effective inclusive
practices and promote education with the Individualized Education Program (IEP)
for students with disabilities such as autism and emotional &behavioral disorders.
Hence, this is expected to increase the scope and application of humanoid robot
development in the educational sector.
The
Industrial Internet of Things (IIoT) and advancements in AI are anticipated to
drastically improve the operational capabilities of industrial robots in the
next 5 years and provide a desired long-term outcome for increased production
visibility, real-time guidance, and data-driven performance. The manufacturing
sector is set to be the largest beneficiary of IIoT. Random bin picking is one
of the challenges of industrial automation that is being solved by leveraging
AI. In many universities, research is being conducted for developing a hardware
and software system that can dynamically adapt to handle changes in the environment
without the need for reprogramming. Hence, IIoT and AI technologies are
expected to become a focal point for research on industrial robots.
While
IIoT is helping with AI tasks such as predictive maintenance, 5G is set to
complement AI functionalities. Ultra-reliable and low-latency communications
(URLLC) is a new service category that will be supported in 5G New Radio (NR),
created to meet the requirements for 5G deployed in industrial domains. 5G
technology is set to make AI even more capable due to its low latency and high
speed and bandwidth. For instance, the higher bandwidth provided by 5G will
enable the interconnectivity of a larger number of robots, end effectors, and
vision systems within a network than what is currently possible. This will increase
the scope of training and education for industrial robots in the future.
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