According to Verified Market Research, The Global AI in education market was valued at USD 521.04 Million in 2018 and is projected to reach USD 10.38 Billion by 2026, growing at a CAGR of 45.12% from 2019 to 2026.
The report presents an in-depth assessment of the Ai In Education Market including enabling technologies, key trends, market drivers, challenges, standardization, regulatory landscape, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for Industrial Cross Platform and Mobile Advertising investments from 2019 till 2025.
Artificial Intelligence (AI) provides machines with intelligent capabilities such as learning, processing, identifying data patterns, speech recognition, and others. AI benefits the education sector with features such as personalized learning, additional educational support and assessment and student engagement. AI in education is still in a primitive stage which is expected to have many more advancements in the forthcoming years.
Top Companies in the Global Ai In Education Market: Bridge-U, DreamBox Learning, Fishtree, IBM, Jellynote, Jenzabar, Knewton, Metacog, Microsoft, and Others.
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The Intelligent Tutoring System (ITS) application segment is projected to grow with more than 50% CAGR over the forecast timeline due to the increasing demand to develop & test models of the cognitive processes involved in instruction and to provide sophisticated instructional advice on a one-on-one basis.
Global Ai In Education Market Split by Product Type and Applications:
On the basis of Types, the Global Ai In Education Market is segmented into:
On the basis of Application, the Global Ai In Education Market is segmented into:
- Large Enterprises
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Regional Analysis For Ai In Education Market:
North America (U.S., Canada, Mexico)
Europe (Germany, UK, France, Rest of Europe)
Asia Pacific (China, India, Japan, Rest of Asia Pacific)
Latin America (Brazil, Argentina, Rest of Latin America)
Middle East & Africa
North America is expected to dominate the market owing to early adoption of technologies such as artificial intelligence, machine learning, digital learning, and others. North America has always been leading in innovations and technological advancements, which can be attributable to high investments in research and developments in the field of AI technology.
Key Highlights Of The Report:
– Quantitative market information and forecasts for the global Ai In Education industry, segmented by type, end use and geographic region.
– Expert analysis of the key technological, demographic, economic and regulatory factors driving growth in Ai In Education to 2025.
– Market opportunities and recommendations for new investments.
– Growth prospects among the emerging nations through 2025.
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What are the market factors that are explained in the report?
-Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.
-Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.
-Analytical Tools: The Global Ai In Education Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.
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Customization of the Report: This report can be customized as per your needs for additional data up to 3 companies or countries or 40 analyst hours.
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