Global AI in Education Market 2018 Analysis by Tools, Trends, Softwares, Technologies, Latest Techniques and Forecast till 2022

AI in Education industry research report covers comprehensive overview of development status, competitive strategies and impressive development to be observed in growth and revenue rate across the globe by 2022.

The growing adoption of Artificial Intelligence (AI) in the education sector to bring the developments for teachers and students and improve their knowledge and growing need for multilingual translators integrated with the AI technology are expected to drive the growth of AI in the education market. Previously in 2018, the global AI education market size was valued at USD xx million and is expected to rise by USD xx million with a CAGR of xx% during the forecast period.

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The AI sector is set to dominate the market owing to increasing adoption of language processing for the better consumer services, moreover, usage of robotics in industrial automation and various government initiatives are the reason behind the growth of this technology segment. The latest trend is all about developing the education sector to improve customer experience through data analytics to bring scalability into the system. The basic yet major changes in the Global Labor Force can be listed as one of the major drivers of global AI in education market. Growing number of AI applications in various industries and increasing adoption of AI enabled products & software tools improving consumer services could be said as one of the major opportunities in the market.

The leading players of the artificial intelligence in education market include Google Inc., Apple Inc., Bloomberg, Qualcomm, Coursera, IBM Corporation, Facebook, Fingenius Limited, General Vision, Inc., Inbenta Technologies, Inc., Microsoft Corporation, Numenta, Inc., Intel Corporation, Nvidia Corporation, Sentient Technologies Holdings Ltd. and Tesla Motors.

Key segmentation of the global AI in education market 2018-2022:

By Technology
• Deep Learning and Machine Learning
• Natural Language Processing (NLP)

By Application
• Virtual Facilitators and Learning Environments
• Intelligent Tutoring Systems (ITS)
• Content Delivery Systems
• Fraud and Risk Management
• Student-initiated learning
• Others (education data management, job recommendation, and training and development)

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By Component
• Solutions
• Software tools
• Platforms
• Services
• Professional services
• Managed services

By Deployment Mode
• Cloud
• On-premises

By End-User
• Educational Institutes
• Educational Publishers
• Others (Massive Open Online Courses (MOOCs), Virtual Learning Environments (VLEs), computer-based tests, adaptive learning, and immersive learning)

By Region
• North America
• Europe
• Asia Pacific (APAC)
• Middle East and Africa (MEA)
• Latin America

Few Major points from table of content:
Section 1 AI in Education Definition
Section 2 Global AI in Education Market Major Player Share and Market Overview
2.1 Global Major Player AI in Education Business Revenue
2.2 Global AI in Education Market Overview
Section 3 Major Player AI in Education Business Introduction
3.1 Google AI in Education Business Introduction
3.1.1 Google AI in Education Revenue, Growth Rate and Gross profit 2014-2017
3.1.2 Google AI in Education Business Distribution by Region
3.1.3 Google Interview Record
3.1.4 Google AI in Education Business Profile
3.1.5 Google AI in Education Specification
3.2 Ibm AI in Education Business Introduction
3.2.1 Ibm AI in Education Revenue, Growth Rate and Gross profit 2014-2017
3.2.2 Ibm AI in Education Business Distribution by Region
3.2.3 Interview Record
3.2.4 Ibm AI in Education Business Overview
3.2.5 Ibm AI in Education Specification
3.3 Pearson AI in Education Business Introduction
3.3.1 Pearson AI in Education Revenue, Growth Rate and Gross profit 2014-2017
3.3.2 Pearson AI in Education Business Distribution by Region
3.3.3 Interview Record
3.3.4 Pearson AI in Education Business Overview
3.3.5 Pearson AI in Education Specification
3.4 Microsoft AI in Education Business Introduction
3.5 Aws AI in Education Business Introduction
3.6 Nuance Communications AI in Education Business Introduction
Section 4 Global AI in Education Market Segmentation (Region Level)
4.1 North America Country
4.1.1 United States Market Size and Market Segmentation (Industry Level) 2014-2017
4.1.2 Canada Market Size and Market Segmentation (Industry Level) 2014-2017
4.2 South America Country
4.2.1 South America Market Size and Market Segmentation (Industry Level) 2014-2017
4.3 Asia Country
4.3.1 China Market Size and Market Segmentation (Industry Level) 2014-2017
4.3.2 Japan Market Size and Market Segmentation (Industry Level) 2014-2017
4.3.3 India Market Size and Market Segmentation (Industry Level) 2014-2017
4.3.4 Korea Market Size and Market Segmentation (Industry Level) 2014-2017
4.4 Europe Country
4.4.1 Germany Market Size and Market Segmentation (Industry Level) 2014-2017
4.4.2 UK Market Size and Market Segmentation (Industry Level) 2014-2017
4.4.3 France Market Size and Market Segmentation (Industry Level) 2014-2017
4.4.4 Italy AI in Education Market Size and Market Segmentation (Industry Level) 2014-2017
4.4.5 Europe AI in Education Market Size and Market Segmentation (Industry Level) 2014-2017
4.5 Other Country and Region
Section 5 Global AI in Education Market Segmentation (Type Level)
5.1 Market Segmentation (Type Level) Market Size 2014-2017
5.2 Different Market Segmentation (Type Level) Market Size Growth Rate 2014-2017
5.3 Global Market Segmentation (Type Level) Analysis
Section 6 Global AI in Education Market Segmentation (Industry Level)
Section 7 AI in Education Market Forecast 2018-2022
7.1 AI in Education Segmentation Market Forecast (Region Level)
7.2 AI in Education Segmentation Market Forecast (Type Level)
7.3 AI in Education Segmentation Market Forecast (Industry Level)
Section 8 AI in Education Segmentation Type
8.1 Machine Learning And Deep Learning Introduction
8.2 Natural Language Processing Introduction
Section 9 AI in Education Segmentation Industry
9.1 Virtual Facilitators And Learning Environments Clients
9.2 Intelligent Tutoring Systems Clients
9.3 Content Delivery Systems Clients
9.4 Fraud And Risk Management Clients
Section 10 AI in Education Cost Analysis
10.1 Technology Cost Analysis
10.2 Labor Cost Analysis
10.3 Cost Overview
Section 11 Conclusion

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