Edison, NJ -- (SBWIRE) -- 08/31/2020 -- Global AI in Education Market Report, History and Forecast 2014-2025, Breakdown Data by Companies, Key Regions, Types and Application is latest research study released by HTF MI evaluating the market, highlighting opportunities, risk side analysis, and leveraged with strategic and tactical decision-making support. The study provides information on market trends and development, drivers, capacities, technologies, and on the changing investment structure of the Global AI in Education Market. Some of the key players profiled in the study are Google, IBM, Pearson, Microsoft, AWS, Nuance Communications, Cognizant, OSMO, Quantum Adaptive Learning, Querium, Third Space Learning, Aleks, Blackboard, Bridgeu, Carnegie Learning, Century, Cognii, Dreambox Learning, Elemental Path, Fishtree, Jellynote, Jenzabar, Knewton, Luilishuo & Metacog.
AI in Education Market Overview:
Artificial Intelligence in education is a technology that deals with the study & enhancement of intelligent machines and software. AI software is used in industry verticals such as education, BFSI, healthcare, & government. Development of artificial intelligence-empowered educational games that help to enhance and improve the overall educational process has increased adoption of artificial intelligence in the education sector. AI focusses on the creation of intelligent machines that can perform functions like speech recognition, learning & problem solving. In the US education sector, AI is increasingly used to enhance student learning via intelligent interactive programs using various technologies such as machine learning, natural language processing, & deep learning help in overall learning of students.
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Growth Drivers of AI in Education Market
Increasing adoption in various applications used in education sector
Emerging need for multilingual translators integrated with the AI technology
Influencing Trends in Buzz: Know More
Intelligent tutoring systems (ITS) based on AI technology are available in market
Technological advancement in learning processes due increasing use of smart devices
Important years considered in the study are:
Historical year – 2014-2019 ; Base year – 2019; Forecast period** – 2020 to 2025 [** unless otherwise stated]
The segments and sub-section of AI in Education market are shown below:
The Study is segmented by following Product Type: , Deep Learning and Machine Learning & Natural Language Processing (NLP)
Major applications/end-users industry are as follows: Educational Institutes, Educational Publishers & Others
Some of the key players/Manufacturers involved in the Market are – Google, IBM, Pearson, Microsoft, AWS, Nuance Communications, Cognizant, OSMO, Quantum Adaptive Learning, Querium, Third Space Learning, Aleks, Blackboard, Bridgeu, Carnegie Learning, Century, Cognii, Dreambox Learning, Elemental Path, Fishtree, Jellynote, Jenzabar, Knewton, Luilishuo & Metacog
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If opting for the Global version of AI in Education Market analysis is provided for major regions as follows:
- North America (USA, Canada and Mexico)
- Europe (Germany, France, the United Kingdom, Netherlands, Russia , Italy and Rest of Europe)
- Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India and Southeast Asia)
- South America (Brazil, Argentina, Colombia, rest of countries etc.)
- Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Nigeria and South Africa)
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Key Answers Captured in Study are
Which geography would have better demand for product/services?
What strategies of big players help them acquire share in regional market?
Countries that may see the steep rise in CAGR & year-on-year (Y-O-Y) growth?
How feasible is market for long term investment?
What opportunity the country would offer for existing and new players in the AI in Education market?
Risk side analysis involved with suppliers in specific geography?
What influencing factors driving the demand of AI in Education near future?
What is the impact analysis of various factors in the Global AI in Education market growth?
What are the recent trends in the regional market and how successful they are?
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There are 15 Chapters to display the Global AI in Education market.
Chapter 1, About Executive Summary to describe Definition, Specifications and Classification of Global AI in Education market, Applications [Educational Institutes, Educational Publishers & Others], Market Segment by Types , Deep Learning and Machine Learning & Natural Language Processing (NLP);
Chapter 2, objective of the study.
Chapter 3, to display Research methodology and techniques.
Chapter 4 and 5, to show the AI in Education Market Analysis, segmentation analysis, characteristics;
Chapter 6 and 7, to show Five forces (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 8 and 9, to show analysis by regional segmentation[North America, Europe, China, Rest of Asia Pacific, Central & South America & Middle East & Africa ], comparison, leading countries and opportunities; Regional Marketing Type Analysis, Supply Chain Analysis
Chapter 10, to identify major decision framework accumulated through Industry experts and strategic decision makers;
Chapter 11 and 12, Global AI in Education Market Trend Analysis, Drivers, Challenges by consumer behavior, Marketing Channels
Chapter 13 and 14, about vendor landscape (classification and Market Ranking)
Chapter 15, deals with Global AI in Education Market sales channel, distributors, Research Findings and Conclusion, appendix and data source.
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia or Oceania [Australia and New Zealand].
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