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Artificial Intelligence in Education Market Trends, Regulations and Competitive Landscape Outlook to 2023

The Global Artificial Intelligence in Education Market Report includes a comprehensive analysis of the present market. The report starts with the basic Artificial Intelligence in Education Market overview and then goes into each and every detail.

 

Houston, TX -- (SBWIRE) -- 05/10/2018 -- Artificial Intelligence in Education Market projected to grow at CAGR of +47% from 2018 to 2023

Artificial intelligence is one of the fastest growing technologies in the world. Artificial intelligence involves the research and development of machine and software intelligence. In addition, the technology has a wide range of applications in education, healthcare, and manufacturing. Artificial intelligence can improve the industry by reducing manpower and increasing productivity. In the field of education, the application of artificial intelligence has been a research topic for 30 years. Artificial intelligence in the education sector applies to all areas of learning, traditional educational institutions or workplaces to support learning and formal education.

Global Artificial Intelligence in Education Market Report 2026," to its repository. The report on the global market throws light on vital market facts such as the size, drivers, competitive landscape, prominent companies, and restraints. The report also analyzes the potential impact of these factors on the overall development of the market in the next few years.

The major players include - IBM corporation, Quantum adaptive learning, LLC, ALKES corporation, Dreambox learning, Inc., Blackboard Inc., Microsoft Corporation, Pearson Corporation, Jenzabar, Inc., and SOFIA labs LLC.

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The report on the Global Artificial Intelligence in Education Market addresses questions pertaining to the growth drivers, growth inhibitors, regulatory framework, and expansion opportunities that are likely to affect the industry as well as have an impact on its stakeholders. In order to present refined growth estimations for the market, the report includes advanced research techniques and contemporary research and development tools.
The vendor landscape covered in this research study offers a comprehensive overview of the latest developments and investment pattern in the Global Artificial Intelligence in Education Market. Under investments, the report provides a brief overview of the major mergers and acquisitions in the big data security market. This market research report identifies key players in the market and provides a comprehensive analysis of their key company facts, business overview, segmentation, SWOT analysis, business strategies, and key information.

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Regionally, the report looks into the performance of the deaf aid market in North America, Europe, Asia-Pacific, Middle East & Africa and Latin America. Detailed projections regarding the pricing structure and profit margins in the Artificial Intelligence in Education Market in each region are provided in the report. Figures illustrating the performance of the market and predictions regarding the performance of the market over the forecast period are also provided in the report.

In the last sections of the report, the companies responsible for increasing the sales in the Artificial Intelligence in Education Market has been presented. These companies have been analyzed in terms of their manufacturing base, basic information, and competitors. In addition, the application and product type introduced by each of these companies also form a key part of this section of the report. The recent enhancements that took place in the global market and their influence on the future growth of the market have also been presented through this study.

Table of Content:
Global Artificial Intelligence in Education Market Research Report 2018-2023

Chapter 1 Artificial Intelligence in Education Market Overview
Chapter 2 Global Economic Impact
Chapter 3 Competition by Manufacturer
Chapter 4 Production, Revenue (Value) by Region (2018-2023)
Chapter 5 Supply (Production), Consumption, Export, Import by Regions (2018-2023)
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Market Forecast (2018-2023)
Chapter 13 Appendix