AI Tutors Market was valued at USD 1.41 billion in 2023 and is expected to reach USD 15.47 billion by 2032, growing at a CAGR of 30.58% from 2024-2032. This report includes insights on adoption rate, user demographics, investment trends, integration rate, and skill improvement metrics. The industry is experiencing fast-paced adoption due to growing demand for learning solutions personalized to individual needs. User demographics depict significant presence of students and working professionals looking to upgrade skills. Investment trends reflect high funding of AI-based learning platforms. Integration rates are increasing as institutions and businesses integrate AI tutors into learning infrastructure. Moreover, AI tutors are enhancing learning outcomes by using adaptive testing and instant feedback, and hence are a revolutionary force in education.
Drivers
AI Tutors Market Expands with Advancements in Machine Learning, NLP, and Generative AI for Interactive, Personalized, and Scalable Education Solutions.
Ongoing advancements in machine learning, natural language processing (NLP), and generative AI are revolutionizing AI tutors as top-class interactive and responsive learning aids. Such technologies provide instant feedback, customized lesson plans, and human-like interfaces, enhancing learning considerably. The increased need for personalized education offerings still propels adoption further, as AI teachers effectively meet unique learning needs. The emergence of e-learning platforms and virtual classrooms reinforces their adoption, advancing learning to become more accessible and scalable. Cost savings and the capacity to support large numbers of students without sacrificing quality also fuel mass deployment. Growth in EdTech and AI solutions investments continues to drive innovation, supporting continued market growth in the future years.
Restraints
AI Tutors Face Growth Challenges Due to Lack of Human Interaction, High Costs, Data Privacy Concerns, and Resistance to Change.
AI tutors, in spite of technological prowess, find it difficult to match the emotional quotient and versatility of human instructors. The lack of immediacy in emotional responses can cause student engagement, motivation, and deeper comprehension to be affected, especially among learners who excel under interpersonal interaction. Data privacy and security concerns also present a problem, with institutions needing to abide by strict regulation. High cost of development and implementation restricts mass usage, particularly among low-budget institutions. AI-based systems are also vulnerable to bias and inaccuracies that may influence learning outcomes. In addition, resistance to change by teachers and students who are used to conventional teaching slows down integration, pointing to the continued necessity of a balanced approach between AI-driven education and human touch.
Opportunities
AI Tutors Drive Growth in Corporate Training, Skill Development, and Professional Certification with Personalized Learning and Real-Time Feedback.
Aside from conventional education, AI tutors are revolutionizing corporate training and skill development by providing personalized, adaptive learning experiences for employees and professionals. Companies are increasingly using AI-powered platforms to reskill their employees, allowing for effective knowledge retention and performance enhancement. Professional certification courses also make use of AI tutors, offering students real-time feedback and personalized learning paths. The combination of AI with big data analytics also improves training efficacy by tracking individual progress and optimizing content delivery. Furthermore, AI tutors can address various industries such as healthcare, finance, and IT, extending their market. With increasing investments in EdTech and online learning, AI tutors are poised to transform skill acquisition across industries.
Challenges
AI Tutors Market Struggles with Bias and Inaccuracies, Raising Concerns Over Learning Outcomes, Trust, and Widespread Adoption in Education.
AI-powered tutors, in improving individualized learning, are challenged by biases and inaccuracies in their algorithms. Machine learning algorithms depend on large sets of data, and any embedded bias in the training data will cause biased learning outcomes, even harming some groups of students. Maintaining the accuracy of responses generated by AI is still an important issue because false or inaccurate information can get in the way of learning. Ongoing oversight and adjustment must be made to enhance AI decision-making, which contributes to operating complexities. Educators and institutions are hesitant to trust completely in AI-driven systems, hence slower uptake. Without strong processes for handling bias and enhancing content quality, the full potential of AI tutors to provide equal and effective education is held back.
By Application
Subject-Specific Tutoring dominated the AI Tutors Market with a 49% revenue share in 2023 as a result of its popularity for customized academic assistance. Subject-specific tutors powered by AI serve the varied learning needs of students with customized lessons, instant feedback, and adaptive learning pathways for diverse subjects. The growing use of AI tutors in formal education, test preparation, and niche learning programs has also enhanced their market leadership. Moreover, schools and EdTech companies focus on AI-based subject coaching to improve performance and interest.
Homework Help is anticipated to expand at the fastest CAGR of 32.30% during 2024-2032 due to growing student dependence on AI-based tools for rapid, correct answers. Such AI tutors deliver real-time explanations, step-by-step solutions, and interactive help, enhancing understanding and closing gaps in learning. The growth of online learning and online education platforms has driven demand for AI-based homework help. Additionally, improvements in natural language processing (NLP) and generative AI allow for more accurate, context-specific answers, further driving segment growth.
By Technology
Machine Learning and Predictive Analytics dominated the AI Tutors Market with a 49% revenue share in 2023 because they can improve customized learning experiences. These technologies scan student performance data, forecast learning trends, and adjust educational material accordingly. Their combination enables AI tutors to adjust in real time, enhancing engagement and retention. Schools and EdTech firms increasingly depend on predictive analytics to maximize curriculum delivery, making this segment the go-to choice for data-driven, adaptive learning solutions.
Natural Language Processing (NLP) segment is expected to grow at the fastest CAGR of 32.40% between 2024 and 2032, propelled by facilitating smooth human-computer interaction. NLP allows AI tutors to comprehend, understand, and reply to questions from students in natural language, improving communication and engagement. Generative AI and contextual learning advancements enhance the accuracy of tutoring done through AI further. With the growing demand for voice assistants and multilingual AI tutors, NLP is increasingly finding applications in the educational sector.
By End-use
K-12 led the AI Tutors Market with a 55% revenue share in 2023 because of the extensive adoption of AI-based learning solutions in primary and secondary education. Schools are increasingly adopting AI tutors to offer customized learning experiences, enhance student engagement, and fill learning gaps. The need for adaptive learning solutions, real-time feedback, and homework help further solidifies this segment. Moreover, government support and investments in online education fuel AI adoption in K-12, guaranteeing sustained market leadership.
Corporate & Vocational Training is anticipated to expand at the fastest CAGR of 32.31% during 2024-2032, driven by the increasing demand for ongoing skill enhancement and employee training. AI tutors help companies provide personalized, scalable, and affordable training programs, enhancing the performance and productivity of employees. Vocational training centers are using AI-driven platforms to augment professional certification courses. The rising emphasis on upskilling and reskilling, along with AI-based performance monitoring, positions this segment as a high-growth area in the AI Tutors Market.
Regional Analysis
North America led the AI Tutors Market with 38% revenue share in 2023 based on robust technology infrastructure and high EdTech investment. The region is favored with early adoption of AI-based learning solutions in schools, universities, and corporate training programs. Leading AI and technology companies, along with favorable government initiatives to promote digital education, further enhance market growth. Also, heightened need for personalized learning and AI-powered tutoring platforms has accelerated mass adoption within educational institutions.
Asia Pacific is anticipated to grow at the fastest CAGR of 32.68% during 2024-2032, due to strong digitalization and heightened investment in AI-based education solutions. The region's vast student base and developing focus on online learning generate huge demand for AI tutors. Governments and private organizations are heavily investing in EdTech to enhance accessibility and learning outcomes. Furthermore, increased smartphone penetration and internet connectivity, particularly among emerging economies, drives AI adoption in education throughout Asia Pacific.
Brainly (AI Learning Companion, AI Tutor)
Cognii, Inc. (Virtual Learning Assistant, Open Response Assessment)
Carnegie Learning, Inc. (MATHia, Cognitive Tutor)
Celebal Technologies (Data Science Solutions, AI-Powered Chatbots)
Duolingo (Duolingo Language Learning App, Duolingo English Test)
Khan Academy, Inc. (Khan Academy Learning Platform, Khan Academy Kids)
Pearson (Pearson MyLab, Pearson Revel)
TutorOcean (Online Tutoring Platform, Learning Management System)
Querium (StepWise Virtual Tutor, AI-Powered Assessment Platform)
Quantiphi (AI Solutions for Education, Machine Learning Models)
Preply (Online Language Tutoring Platform, AI Tutor Matching System)
Photomath (Photomath App, Photomath Plus)
Socratic by Google (Socratic App, AI Homework Assistance)
Quizlet (Quizlet Learn, Quizlet Live)
BYJU's (BYJU's Learning App, BYJU's Math)
Thinkster Math (AI Math Tutor, Personalized Math Learning)
ALEKS by McGraw-Hill (ALEKS Math, ALEKS Chemistry)
DreamBox Learning (DreamBox Math, DreamBox Reading)
Smart Sparrow (Adaptive eLearning Platform, AI Courseware)
Third Space Learning (Online Math Tutoring, AI-Powered Learning Resources)
2024 Duolingo introduced new AI-powered features at Duocon 2024, including "Video Call," which allows users to practice conversations with an AI character named Lily, and "Adventures," a game-like experience for immersive language learning.
In 2023, Brainly introduced an AI Tutor integrated with its extensive Knowledge Base. This feature provides AI-powered answers when students cannot find solutions within the community-driven platform. Additionally, the "Dive Deeper" function offers AI-generated trivia and insights related to the subject matter, enriching the learning process.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 1.41 Billion |
| Market Size by 2032 | USD 15.47 Billion |
| CAGR | CAGR of 30.58% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Application (Subject-Specific Tutoring, Test Preparation, Homework Assistance) • By Technology (Natural Language Processing (NLP), Machine Learning and Predictive Analytics, Others) • By End-use (K-12, Higher Education, Corporate & Vocational Training) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Brainly, Cognii, Inc., Carnegie Learning, Inc., Celebal Technologies, Duolingo, Khan Academy, Inc., Pearson, TutorOcean, Querium, Quantiphi, Preply, Photomath, Socratic by Google, Quizlet, BYJU's, Thinkster Math, ALEKS by McGraw-Hill, DreamBox Learning, Smart Sparrow, Third Space Learning |
ANS: AI Tutors Market was valued at USD 1.41 billion in 2023 and is expected to reach USD 15.47 billion by 2032, growing at a CAGR of 30.58% from 2024-2032.
ANS: Subject-Specific Tutoring led with a 49% revenue share.
ANS: Machine Learning and Predictive Analytics held the highest revenue share of 49%.
ANS: K-12 held the highest revenue share of 55%.
ANS: North America led with a 38% revenue share.
Table of Contents:
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rate
5.2 User Demographics
5.3 Investment Trends
5.4 Integration Rate
5.5 Skill Improvement Metrics
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. AI Tutors Market Segmentation, By Technology
7.1 Chapter Overview
7.2 Natural Language Processing (NLP)
7.2.1 Natural Language Processing (NLP) Market Trends Analysis (2020-2032)
7.2.2 Natural Language Processing (NLP) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Machine Learning and Predictive Analytics
7.3.1 Machine Learning and Predictive Analytics Market Trends Analysis (2020-2032)
7.3.2 Machine Learning and Predictive Analytics Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Others
7.4.1 Others Market Trends Analysis (2020-2032)
7.4.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
8. AI Tutors Market Segmentation, By Application
8.1 Chapter Overview
8.2 Subject-Specific Tutoring
8.2.1 Subject-Specific Tutoring Market Trends Analysis (2020-2032)
8.2.2 Subject-Specific Tutoring Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Test Preparation
8.3.1 Test Preparation Market Trends Analysis (2020-2032)
8.3.2 Test Preparation Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Homework Assistance
8.4.1 Homework Assistance Market Trends Analysis (2020-2032)
8.4.2 Homework Assistance Market Size Estimates and Forecasts to 2032 (USD Billion)
9. AI Tutors Market Segmentation, By End-use
9.1 Chapter Overview
9.2 K-12
9.2.1 K-12 Market Trends Analysis (2020-2032)
9.2.2 K-12 Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Higher Education
9.3.1 Higher Education Market Trends Analysis (2020-2032)
9.3.2 Higher Education Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Corporate & Vocational Training
9.4.1 Corporate & Vocational Training Market Trends Analysis (2020-2032)
9.4.2 Corporate & Vocational Training Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America AI Tutors Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.2.4 North America AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.5 North America AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.2.6.2 USA AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.6.3 USA AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.2.7.2 Canada AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.7.3 Canada AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.2.8.2 Mexico AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.8.3 Mexico AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe AI Tutors Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.1.6.2 Poland AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.6.3 Poland AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.1.7.2 Romania AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.7.3 Romania AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.1.8.2 Hungary AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.8.3 Hungary AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.1.9.2 Turkey AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.9.3 Turkey AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe AI Tutors Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.4 Western Europe AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.5 Western Europe AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.6.2 Germany AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.6.3 Germany AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.7.2 France AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.7.3 France AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.8.2 UK AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.8.3 UK AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.9.2 Italy AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.9.3 Italy AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.10.2 Spain AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.10.3 Spain AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.13.2 Austria AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.13.3 Austria AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific AI Tutors Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.4 Asia Pacific AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.5 Asia Pacific AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.6.2 China AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.6.3 China AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.7.2 India AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.7.3 India AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.8.2 Japan AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.8.3 Japan AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.9.2 South Korea AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.9.3 South Korea AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.10.2 Vietnam AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.10.3 Vietnam AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.11.2 Singapore AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.11.3 Singapore AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.12.2 Australia AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.12.3 Australia AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East AI Tutors Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.1.4 Middle East AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.5 Middle East AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.1.6.2 UAE AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.6.3 UAE AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.1.7.2 Egypt AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.7.3 Egypt AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.1.9.2 Qatar AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.9.3 Qatar AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa AI Tutors Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.2.4 Africa AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.5 Africa AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.2.6.2 South Africa AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.6.3 South Africa AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America AI Tutors Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.6.4 Latin America AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.5 Latin America AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.6.6.2 Brazil AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.6.3 Brazil AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.6.7.2 Argentina AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.7.3 Argentina AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.6.8.2 Colombia AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.8.3 Colombia AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America AI Tutors Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America AI Tutors Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America AI Tutors Market Estimates and Forecasts, By End-use (2020-2032) (USD Billion)
11. Company Profiles
11.1 Brainly
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Cognii, Inc.
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Carnegie Learning, Inc.
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Celebal Technologies
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Duolingo
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Khan Academy, Inc.
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Pearson
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 TutorOcean
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Querium
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Quantiphi
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Application
Subject-Specific Tutoring
Test Preparation
Homework Assistance
By Technology
Natural Language Processing (NLP)
Machine Learning and Predictive Analytics
Others
By End-use
K-12
Higher Education
Corporate & Vocational Training
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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