Educational Robot Market Forecast, Opportunities and Challenges

 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.

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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.
 
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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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