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.Learning models, backed by artificial intelligence, consists of exhaustive information pertaining to three key components of the learning process. The information includes details on students, teaching method, and details on educators. Owing to this strongly beneficial feature of artificial intelligence, it is being widely implemented in various educational technology solutions such as adaptive learning.

PART 01: Executive summary ............................................ 5

PART 02: Scope of the report ........................................... 15

Market overview 15

Top-vendor offerings 16

PART 03: Market research methodology ......................... 17

Research methodology 17

Economic indicators 17

PART 04: Introduction ....................................................... 18

Key market highlights 18

PART 05: Market overview ................................................ 19

Market size and forecast 20

Five forces analysis 22

PART 06: Market segmentation by end-user ................... 23

Artificial intelligence market in US education sector by

end-user 23

Artificial intelligence market in US higher education

sector 24

Artificial intelligence market in US K-12 education

sector 25

PART 07: Market segmentation by model ...................... 27

Artificial intelligence market in US education sector by

model 27

Artificial intelligence market in US education sector by

learner model 28

Artificial intelligence market in US education sector by

pedagogical model 29

Artificial intelligence market in US education sector by

domain model 31

PART 08: Market drivers ................................................... 33

Rise in inclusion of intelligent adaptive learning (IAL) 33

Upsurge in ITS 34

Growing collaboration among vendors and institutions 36

Leveraging on available devices and infrastructure 37

PART 09: Impact of drivers ............................................... 38

PART 10: Market challenges ............................................. 39

Budget limitations 39

Steering cognition developments 39

Issues related to ITS 40

Sustainability issues 40

PART 11: Impact of drivers and challenges .................... 42

PART 12: Market trends .................................................... 43

Artificial intelligence-empowered educational games 43

Artificial intelligence services through mobile devices 43

Assists collaborative learning model 44

Facilitates better course designing activities 45

PART 13: Vendor landscape ............................................. 46

Competitive scenario 46

Competitive benchmarking 47

PART 14: Key vendor analysis ......................................... 49

Cognii 49

IBM 49

Quantum Adaptive Learning 53

PART 15: Other prominent vendors ................................. 54

ALEKS 54

Blackboard 54

DreamBox Learning 54

Jenzabar 54

Microsoft 54

Pearson 55

PART 16: Appendix ........................................................... 56

List of abbreviations 56

PART 17: Explore Technavio ............................................ 57