Artificial Intelligence in Education Market is Estimated to Grow at a CAGR of 31% by 2027 Owing to the Necessity for Reshaping Education System for Students with Learning Disabilities: says Absolute Market Insights

AI programs enable representation of material in a reformed way that helps students with learning disabilities. The technology helps students to better understand independent of teacher’s instruction. The growing need for highly personalized and entertaining mode of learning through educative applications is driving the growth of artificial intelligence in education market. Considering a regular attention span of a child with special needs, which is around 5-10 minutes, artificial intelligence in education is proving extremely beneficial as an assistant to the traditional education. Organizations have been participating in such innovations rapidly. Robot4Autism, a US based company, offers an artificial intelligence based robot Milo for teachers and students in the Burlington County Special Services School District. Milo can speak to students, and displays content on a screen built into his chest. The programs allow students to answer questions, and allow teachers to decide based on a student’s work with Milo. After lessons, teachers can analyze the data to determine how well students are applying concepts they learned in class, such as emotional expression or social interaction.

SoftBank Robotics, a French company, created Nao for a similar purpose. The humanoid robots help children with multiple motor disabilities in acquiring knowledge and understanding emotions. Aligned to a similar approach, the Penguin for Autism Behavioral Intervention (PABI) has been developed by Professor Laurie Dickstein-Fischer and her husband, Gregory Fischer. It is a soft, cuddly AI based robot that helps children with autism in establishing emotional connections. It interacts with the kid independently or is led by remote. It supports learning by running interactive lessons for students, such as identifying pictures and simultaneously collects data on the child’s response and facial expressions, which helps in studying their progress. Among all these innovations, the benefits provided by the companies in artificial intelligence in education market for specially challenged has become essentially popular.

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“During the next six years, artificial intelligence in education market is estimated to experience huge demand from education for specially challenged students. Multiple schools for specially challenged have been using artificial intelligence based robots across North America and Europe. IBM’s tool Content Clarifier helps students with autism or dementia by splitting lengthy sentences into shorter and simpler sentences. The growing awareness among educators about the application of AI in special education has been playing a critical role in driving this change and making education better for the challenged.”

The detailed research study provides qualitative and quantitative analysis of the global artificial intelligence in education market. The market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further, across all the major countries. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East, Africa, and Latin America.

Some of the major players operating in the global artificial intelligence in education market are Amazon Web Services, Inc., Blackboard Inc., Brainly, BridgeU, Carnegie Learning, Inc., Century-Tech Limited, Content Technologies, Inc., DREAMBOX LEARNING, ELEMENTAL PATH, Fishtree, IBM, Knewton, Inc., Metacog, Inc., Microsoft, Netex Knowledge Factory, Prazas Learning Inc., Quantum Adaptive Learning, LLC, Querium Corporation, Volley amongst others.

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By Component
Solutions

  • Platform
  • Tools

Services

  • Professional Services
  • Managed Services

By Deployment Mode

  • Cloud
  • On-Premises

By Technology

  • Machine Learning
  • Deep Learning
  • Natural Learning Process (NLP)

By Model

  • Pedagogical Model
  • Domain Model
  • Student Model

By Application

  • Intelligent Tutoring Systems
  • Learning Platform and Virtual Facilitators
  • Content Delivery Systems
  • Smart Content
  • Interactive Websites

By End-Use

  • Higher Education
  • K-12 Education
  • Corporate Learning

By Region

North America

  • US.
  • Canada
  • Mexico
  • Rest of North America

Europe

  • France
  • The UK
  • Spain
  • Germany
  • Italy
  • Nordic Countries
    • Denmark
    • Finland
    • Iceland
    • Sweden
    • Norway
  • Benelux Union
    • Belgium
    • The Netherlands
    • Luxembourg
    • Rest of Europe

Asia Pacific

  • China
  • Japan
  • India
  • New Zealand
  • Australia
  • South Korea
  • Southeast Asia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Rest of Southeast Asia
    • Rest of Asia Pacific

Middle East & Africa

  • Saudi Arabia
  • UAE
  • Egypt
  • Kuwait
  • South Africa
  • Rest of Middle East & Africa

Latin America

  • Brazil
  • Argentina
  • Rest of Latin America

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