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Artificial Intelligence Market In The US Education Sector 2017-2021

Published on: Feb 2017 | From USD $3500 | Published By: INFINITI RESEARCH | Number Of Pages: 60

About Artificial Intelligence

Artificial intelligence analyzes huge data sets at granular levels. These data can potentially help both students and mentors who are involved in the developmental and personalized education process. Irrespective of the subject, these solutions have capabilities to create personalized learning profiles for students. The technology helps educators to develop optimized learning processes for every student.

Technavio’s analysts forecast the artificial intelligence market in the US education sector to grow at a CAGR of 47.50% during the period 2017-2021.

Covered in this report
The report covers the present scenario and the growth prospects of the artificial intelligence market in the US education sector for 2017-2021. To calculate the market size, the report considers the revenue generated through sales of artificial intelligence software-based products and complementary services to customers in the education market.

Technavio's report, Artificial Intelligence Market in the US Education Sector 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
• Cognii
• IBM
• Nuance Communications
• Quantum Adaptive Learning

Other prominent vendors
• ALEKS
• Blackboard
• DreamBox Learning
• Jenzabar
• Microsoft
• Pearson

Market driver
• Growing collaboration among vendors and institutions.
• For a full, detailed list, view our report

Market challenge
• Steering cognition developments.
• For a full, detailed list, view our report

Market trend
• Artificial intelligence services through mobile devices.
• For a full, detailed list, view our report

Key questions answered in this report
• What will the market size be in 2021 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?

You can request one free hour of our analyst’s time when you purchase this market report. Details are provided within the report.

Table of Contents

PART 01: Executive summary

PART 02: Scope of the report


Market overview
Top-vendor offerings


PART 03: Market research methodology


Research methodology
Economic indicators


PART 04: Introduction


Key market highlights


PART 05: Market overview


Market size and forecast
Five forces analysis


PART 06: Market segmentation by end-user


Artificial intelligence market in US education sector by end-user
Artificial intelligence market in US higher education sector
Artificial intelligence market in US K-12 education sector


PART 07: Market segmentation  by model


Artificial intelligence market in US education sector by model
Artificial intelligence market in US education sector by learner model
Artificial intelligence market in US education sector by pedagogical model
Artificial intelligence market in US education sector by domain model


PART 08: Market drivers


Rise in inclusion of intelligent adaptive learning (IAL)
Upsurge in ITS
Growing collaboration among vendors and institutions
Leveraging on available devices and infrastructure


PART 09: Impact of drivers

PART 10: Market challenges


Budget limitations
Steering cognition developments
Issues related to ITS
Sustainability issues


PART 11: Impact of drivers and challenges

PART 12: Market trends


Artificial intelligence-empowered educational games
Artificial intelligence services through mobile devices
Assists collaborative learning model
Facilitates better course designing activities


PART 13: Vendor landscape


Competitive scenario
Competitive benchmarking


PART 14: Key vendor analysis


Cognii
IBM
Quantum Adaptive Learning


PART 15: Other prominent vendors


ALEKS
Blackboard
DreamBox Learning
Jenzabar
Microsoft
Pearson


PART 16: Appendix


List of abbreviations


PART 17: Explore Technavio
List of Exhibits

Exhibit 01: Product offerings

Exhibit 02: Artificial intelligence market in US education sector 2016-2021 ($ billions)

Exhibit 03: Five forces analysis

Exhibit 04: Artificial intelligence market in US education sector by end-user 2016

Exhibit 05: Artificial intelligence market in US higher education sector 2016-2021 ($ billions)

Exhibit 06: Artificial intelligence market in US K-12 education sector 2016-2021 ($ billions)

Exhibit 07: Artificial intelligence market in US education sector by model 2016

Exhibit 08: Artificial intelligence market in US education sector by learner model 2016-2021 ($ billions)

Exhibit 09: Artificial intelligence market in US education sector by pedagogical model 2016-2021 ($ billions)

Exhibit 10: Artificial intelligence market in the US education sector by domain model 2016-2021 ($ billions)

Exhibit 11: Functions of the IAL system

Exhibit 12: Modes of intelligent tutoring systems

Exhibit 13: Impact of drivers

Exhibit 14: Impact of drivers and challenges

Exhibit 15: Vendor analysis

Exhibit 16: Key vendors: Strategic initiatives overview

Exhibit 17: Cognii: Solution offerings

Exhibit 18: Nuance Communications: Solution offerings in education sector

Exhibit 19: Quantum Adaptive Learning: Product offerings

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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