The global Educational Robot market is anticipated to grow at a considerable CAGR of 14.9% during the forecast period (2022-2028). Robotics and machine learning (ML) are increasingly being used in education to advance student learning through one-to-one support, adaptive learning algorithms, and immediate feedback mechanisms within K12 schools. Educational robots can use ML algorithms to adapt to student learning styles, teaching children to code through interactive, fun games and supporting core curriculum in classrooms with high student-to-teacher ratios. These robots can accommodate students from different levels or backgrounds through personalized attention using several learning techniques to help students learn faster.
Browse the full report description of “Educational Robot Market Size, Share & Trends Analysis Report by Type (Humanoid, and Non-Humanoid), by Component (Hardware (Robotic Arms, End Effectors, Actuators/Drives, Control Systems/Controllers, Sensors, Power Source Systems, Others), and Software), and by Education Level (Elementary and High School Education, Higher Education, and Special Education) Forecast Period (2022-2028)” at https://www.omrglobal.com/industry-reports/educational-robot-market
Also, AI is increasingly used for boosting interactions between robots and humans, and for the more widespread deployment of service robotics in society. AI enables, robots are gaining popularity for improve capabilities in all kinds of activities. AI helps robots in facial recognition, emotion recognition, people tracking, fall detection, speech recognition, environment understanding, object recognition, control of manipulation of objects in case of uncertainty, and so on. Further, the growing collaborations among key players and R&D in the field of robotics are anticipated to fuel the demand for STEM-based educational robots. For instance, In May 2021, Sphero, Inc., announced a robotic toy car that’s designed to teach young children about the fundamentals of programming. It’s called the Sphero indi, and kids can use different-colored silicone tiles to give the car instructions, the indi uses a color sensor to check which tile it’s driving over. In May 3, 2020, Hanson Robotics and Cereproc Further Collaborate on Human-Centered AI to Enhance Sophia the Robot’s Voice.
Market Coverage
• The market number available for – 2021-2028
• Base year- 2021
• Forecast period- 2022-2028
• Segment Covered-
o By Type
o By Component
o By Education Level
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- including HYUNDAI Steel, Nippon Steel Corp., SAIL (Steel Authority Of India), Tata Steel, United States Steel, JSW, SMS Group GmbH, and others.
Key questions addressed by the report
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• How COVID-19 impacted the market?
o Deviation from the pre-COVID-19 forecast
o Most affected region and segment
• Who is the leader in the market?
• How players are addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Educational Robot Market Report Segment
By Type
By Component
By Education Level
Global Educational Robot Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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