AI In Education Market

Report Code TC 6243
Published in Nov, 2024, By MarketsandMarkets™
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AI In Education Market by Software Type (Learning Management System (LMS), Adaptive Learning Platform, Chatbot & Virtual Assistant, Plagiarism Detection Tools), Technology, Academic Application (Predictive Analysis, Gamification) - Global Forecast to 2030

 

Overview

The AI in education market size is projected to grow from USD 2.21 billion in 2024 to USD 5.82 billion by 2030, at a CAGR of 17.5% during the forecast period. As the education sector transitions into a more digitalized industry, embracing advanced technologies such as AI would become crucial to enhancing processes and systems. It is here that AI and its sub-technologies are being rapidly incorporated across educational apps, modes, and mediums of tutoring and in the form of interactive game-based learning modules being adopted. AI can help assimilate data from vast sources to not only provide an in-depth assessment of students and help tutors gauge progress but also result in a transformational shift towards turning teaching methodologies into a more comprehensive approach. With the rise of generative AI, content curation and personalization have emerged as the core aspects of result-driven pedagogy being imparted across leading educational institutions. According to a survey conducted by Microsoft, 47% of education leaders use AI tools daily for operational efficiency, while 68% of educators and 62% of students have used AI at least once or twice for lesson planning and to enhance writing skills.

AI In Education Market

Attractive Opportunities in the AI In Education Market

ASIA PACIFIC

The integration of AI facilitates personalized learning experiences and enhances administrative efficiency across educational institutions. Government initiatives and investments in AI infrastructure make the region a focal point for innovation in educational technologies. Countries like China, Japan, South Korea, and Singapore are actively integrating AI into their educational systems, enhancing personalized learning and administrative efficiency.

Increasing demand for personalized learning experiences, and the rising adoption of e-learning platforms and digital education tools to streamline operations to drive market growth.

AI generates precise and actionable feedback, helping educators identify and address areas for improvement, ultimately enhancing teaching effectiveness and student outcomes.

The rising demand for AI-powered assessment systems and real-time feedback, as well as the advent of virtual tutors for self-paced learning, will offer lucrative opportunities in AI in the education market in the coming years.

The North American AI in Education market is expected to be worth USD 2.30 billion by 2030, growing at a CAGR of 15.9% during the forecast period.

Impact of AI on AI In Education Market

Generative AI is transforming the education sector by enabling personalized learning experiences and enhancing teaching methodologies. It allows educators to create tailored educational materials that cater to individual student needs, improving engagement and comprehension. By analyzing data on student performance and preferences, generative AI can produce customized lesson plans, assessments, and resources, ensuring that learning is both relevant and effective. Generative AI also promotes inclusivity by providing accessible learning tools for students with disabilities or those requiring additional support. It can offer real-time translations and adaptive content, fostering a more engaging, efficient, and equitable learning environment for all students.

AI In Education Market Impact

Global AI In Education Market Dynamics

Driver: Rise in demand for customized educational experiences through AI in personalized learning

Artificial Intelligence (AI) is fundamentally transforming personalized learning by enabling educational experiences tailored to the unique needs of each student. Through adaptive learning algorithms, AI analyzes individual performance data, learning styles, and preferences to customize educational content and pacing. This ensures students receive appropriate challenges and support, enhancing their engagement and understanding. AI also facilitates the curation of tailored content, allowing educators to recommend specific readings or supplementary materials based on each learner’s strengths and weaknesses. Integrating AI in personalized learning fosters an inclusive environment that supports diverse learners while continuously improving educational strategies through data analysis, ultimately leading to a more effective and engaging learning experience for all students and tutors. AI-powered personalized learning systems aim to create customized educational modules for individual learners. These AI-powered education systems analyze a student’s behavior, such as strengths, weaknesses, and learning habits, to implement the content and teaching process. AI-powered education tools offer educators the opportunity to specifically identify and support students with certain academic difficulties and provide extra support services, such as practice sessions, virtual study materials, and personal tutoring sessions.

Restraint: Data privacy and security concerns deterring AI adoption

AI-powered education platforms collect vast amounts of sensitive data, including sensitive personal information, academic records, and learning preferences. This extensive data collection makes these systems attractive targets for cyber threats, which have increased dramatically in recent years. There was a slight rise in cyber threats across the education sector in 2022 compared to the previous year, highlighting the urgent need for robust cybersecurity measures globally. To mitigate these concerns, it is crucial that educational institutions comply with regulations like the General Data Protection Regulation (GDPR), which mandates transparency in data collection and processing. Institutions must ensure that AI systems are designed to minimize personal data usage while maintaining robust security measures to protect against breaches. Traditionally, student data security and data have not been recognized due to a lack of advancements in the legacy education system. AI-based education systems can collect massive amounts of student data to maintain privacy and prevent unauthorized access or violation. Most academic as well as educational institutions are seeking data protection tools to manage huge amounts of sensitive student data such as student records, faculty information, research findings, and intellectual property.

 

Opportunity: Future of Immersive Learning

Digital education is gaining high traction with a particular emphasis on developing interactive, personalized, and tailored learning outcomes for students. Advancements in the field of AI and AR/VR have ushered in a wide range of possibilities to integrate physical capabilities into an experiential learning environment. AI can further customize this experience on the backdrop of feedback-enabled product development that helps tailor educational materials and courses based on students’ objectives. Imagining a real-world experience that can be simulated for students in the form of a science experiment or a historical visit from the confinements of a classroom is gradually turning into a practical possibility. At the same time, this can open avenues for distantly or remotely located students who can avail of this learning experience without physically moving or having to spend resources behind doing so. Immersive technologies such as AR and VR integrated with the education system will enhance the education process by offering personalized learning and virtual collaborative opportunities. Virtual environment-based immersive learning can enable better interactions among students, ultimately promoting peer learning in the future.

Challenge: Misuse of AI tools for unethical academic practices

With the growing advent of gen AI tools for content creation, it seems easy for students to plagiarize or paraphrase existing work without citation. A rewritten version of existing content without valid references cannot be easily recognized. Students could utilize AI-based content generation tools to independently complete the project as a part of an unsupervised assessment provided by teachers and faculty. However, the AI-based education system has created opportunities for unethical practices, undermining the academic integrity in the education sector. This situation has enhanced the potential to create ethical dilemmas among students and may lead to negative consequences of AI utilization on academic integrity. According to a study by Turnitin, only 11% of writing assignments contained more than 20% AI-generated content, and just 3% were predominantly AI-authored.

A survey from EducationWeek indicates that 63% of teachers reported incidents of students facing academic penalties for utilizing generative AI in their assignments during the 2023–2024 school year, an increase from 48% in the prior year. Using proactive initiatives and adopting sophisticated AI-driven plagiarism detection tools would foster an ethical AI environment in the education sector.

Global AI In Education Market Ecosystem Analysis

The AI in education market ecosystem comprises a diverse range of stakeholders. Key players include learning management system (LMS) providers, adaptive learning platform providers, chatbots & virtual assistants, automated grading and feedback system providers, and gen AI-based content generation tools. These entities collaborate to develop, deliver, and utilize AI-based education tools, driving innovation and growth in the market.

Top Companies in AI In Education Market

Note: The above diagram only shows the representation of the AI in education market ecosystem; it is not limited to the companies represented above.

 

By software type, the learning management system will lead the market during the forecast period

Growing necessities for online learning and teaching methods, coupled with the need for remote education and training tools, will enhance the adoption of LMS globally. Digital content, eBooks, and multimedia resources are trending and gaining more popularity with the advent of gen AI tools. AI-based LMS has upgraded the modern learning and development environment with intelligent features and algorithms to personalize the learning process with recommendations. AI-driven analytics within LMS platforms provide educators valuable insights into student performance and engagement metrics. This data allows teachers to identify trends, such as which topics students struggle with most, enabling them to adjust their teaching strategies accordingly. LMS plays a pivotal role in cultivating a learning culture to stay competitive ahead of AI in education market. Real-time feedback mechanisms powered by AI help learners understand their progress instantly, fostering a more interactive learning environment. Additionally, predictive analytics can forecast student performance trends, enabling early interventions for those at risk of falling behind. Overall, AI-enhanced LMS transforms the educational landscape by making learning more efficient, engaging, and tailored to individual student’s needs.

Among institutional end users, the EdTech firms are set to register the highest CAGR during the forecast period.

Growing necessities for online learning and teaching methods, coupled with the need for remote education and training tools, will enhance the adoption of LMS globally. Digital content, eBooks, and multimedia resources are trending and gaining more popularity with the advent of gen AI tools. AI-based LMS has upgraded the modern learning and development environment with intelligent features and algorithms to personalize the learning process with recommendations. AI-driven analytics within LMS platforms provide educators valuable insights into student performance and engagement metrics. This data allows teachers to identify trends, such as which topics students struggle with most, enabling them to adjust their teaching strategies accordingly. LMS plays a pivotal role in cultivating a learning culture to stay competitive ahead of AI in education market. Real-time feedback mechanisms powered by AI help learners understand their progress instantly, fostering a more interactive learning environment. Additionally, predictive analytics can forecast student performance trends, enabling early interventions for those at risk of falling behind. Overall, AI-enhanced LMS transforms the educational landscape by making learning more efficient, engaging, and tailored to individual student’s needs.

By institutional end users, the EdTech firms will register the highest CAGR during the forecast period

AI has been a game changer across the education sector, rapidly revolutionizing student learning and engagement. The vision of EdTech firms is to facilitate a personalized approach and provide the curriculum as per students' needs, which has been accomplished with the integration of AI into education systems. AI-based digital platforms offer numerous benefits to EdTech firms from automating administrative tasks to AI tutoring with 24/7 accessibility to educational resources virtually. Moreover, AI-based education tools support EdTech firms in the digitalization of content so that students can capture and retain learning materials from anywhere, anytime.

By region, North America is projected to account for the largest market share for AI in education market during the forecast period.

North America is home to leading technology companies and educational institutions at the forefront of AI innovation, driving substantial investments in educational technology (EdTech) solutions. The robust digital infrastructure in North America enables the widespread adoption of AI technologies, facilitating the integration of advanced learning tools such as intelligent tutoring systems and personalized learning platforms. The emphasis on personalized learning experiences tailored to individual student needs aligns well with the capabilities of AI technologies, making them highly sought after in this region. Overall, these factors create a conducive environment for the growth and dominance of AI in education within North America. The rise in the adoption of mobile learning and the emergence of virtual tutors are boosting the demand for AI-based tools in North America. The rise in state and local government funding, coupled with local funding accounts, paves the way for AI providers to offer advanced learning tools to the education sector. Key players such as IBM are collaborating with educational institutions to bridge the skills gap in AI-related fields, indicating a strong focus on developing future-ready talent. The rise of intelligent tutoring systems and virtual facilitators further exemplifies how AI reshapes traditional educational methods, making learning more accessible and efficient.

HIGHEST CAGR MARKET DURING FORECAST PERIOD
CANADA FASTEST-GROWING MARKET IN THE REGION
AI In Education Market Size and Share

Recent Developments of AI In Education Market

  • In October 2024, Pearson expanded its partnership with ServiceNow to enhance workforce development and employee experiences in the age of AI. The partnership aims to address the growing skills gap by providing tailored training and reskilling opportunities, ultimately boosting productivity and talent retention. By combining expertise from both companies, this initiative seeks to prepare individuals and organizations for the future of work in an increasingly AI-driven economy.
  • In August 2024, IBM partnered with the University of Wollongong India (UOW India) to enhance educational experiences and career readiness for students. This collaboration will provide access to IBM's Innovation Centre for Education, offering advanced training in emerging technologies such as AI, cloud computing, and cybersecurity. This initiative aims to strengthen UOW India's academic offerings and improve students' competitiveness in the global job market, preparing them for modern workforce demands.
  • In May 2024, Khan Academy and Microsoft partnered to enhance access to AI tools for educators. This collaboration allows K-12 teachers in the US to use the AI-powered teaching assistant Khanmigo for free, leveraging Microsoft’s Azure infrastructure. Khanmigo assists teachers by generating custom lesson plans and providing creative teaching suggestions, ultimately saving them time and reducing burnout. This initiative seeks to personalize learning and effectively support educators.
  • In April 2024, Alibaba Cloud partnered with Hanyang University in South Korea to launch the Alibaba Cloud Academic Empowerment Program (AAEP), aimed at nurturing local digital talent. This initiative will provide students and educators with access to advanced cloud computing and AI technologies, enhancing their practical skills for the digital economy. The program includes seminars, workshops, and certification courses, allowing participants to gain professional qualifications. Alibaba Cloud's commitment to education is evident as it seeks to prepare graduates for future innovation and leadership in digital transformation across various industries in Korea.

Key Market Players

List of Top AI In Education Market Companies

The AI In Education Market is dominated by a few major players that have a wide regional presence. The major players in the AI In Education Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2029
Base year considered 2023
Forecast period 2024-2030
Forecast units (USD million/billion)
Segments Covered Offering, Technology, Application, End user, and Region
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America

 

Key Questions Addressed by the Report

What are the opportunities for the AI in education market?
The key opportunities for AI in the education market include enhanced customization of curriculum to individual student needs, rising demand for AI-powered assessment systems and real-time feedback, the advent of virtual tutors for self-paced learning, and the integration of AR and VR with AI for immersive learning experiences. Demand for AI-powered assessments and real-time feedback is rising, which enhances student engagement and learning outcomes.
Define the market for AI in education.
AI in education refers to the deployment of underlying technologies such as discriminative machine learning, deep learning, NLP, and generative AI to enhance the efficiency and efficacy of pedagogy and learning experience. It involves the implementation of AI-based software across educational institutions to bolster and streamline administrative and operational processes and systems. From an academic perspective, this involves the incorporation of AI-based platforms that can help tailor personalized learning modules and experiences to assist educational instructors in gauging, tracking, and efficiently improving learning outcomes.
Which region is estimated to have the largest share in the AI in education market?
The North American region set to acquire the largest share of the AI in education market during the forecast period.
Which are the major market players covered in the report?
Some of the key companies in market for AI in education are Microsoft (US), IBM (US), Google (US), Alibaba Cloud (China), AWS (US), Adobe (US), Pearson (UK), Baidu (China), OpenAI (US), Duolingo (US), Cengage Group (US), Knewton (US), Skillsoft (US), Udacity (US), Stride (US), HPE (US), Carnegie Learning (US), Dreambox Learning (US), Quizlet (US), Grammarly (US), Vimeo (US), Riiid (South Korea), Cognii (US), Elsa Speak (US), Memrise (UK), Alef Education (UAE), Querium (US), Amira Learning (US), Knowre (US), Century Tech (UK), Thinkster Math (US), Quizizz (India), Khan Academy (US), Sana Labs (Sweden), Teachmint X (India), 360Learning (US), Mainstay (India), Blippar (UK), Blue Canoe Learning (US), Otter.ai (US), QuillBot (US), Nolej (France), and Speechify (US).
How big is the global AI in education market today?
The global AI in education market is projected to grow from USD 2.21 billion in 2024 to USD 5.82 billion by 2030, at a CAGR of 17.5% during the forecast period.

 

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Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
INTRODUCTION
1
  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
    INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    MARKET SEGMENTATION
    REGIONS COVERED
    YEARS CONSIDERED FOR THE STUDY
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES
RESEARCH METHODOLOGY
2
  • 2.1 RESEARCH DATA
    SECONDARY DATA
    - KEY DATA FROM SECONDARY SOURCES
    PRIMARY DATA
    - KEY DATA FROM PRIMARY SOURCES
    - KEY INDUSTRY INSIGHTS
    - BREAKDOWN OF PRIMARY INTERVIEWS
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    BOTTOM-UP APPROACH
    TOP-DOWN APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 ASSUMPTIONS FOR THE STUDY
  • 2.6 LIMITATIONS OF THE STUDY
EXECUTIVE SUMMARY
3
PREMIUM INSIGHTS
4
  • 4.1 ATTRACTIVE OPPORTUNITIES FOR COMPANIES IN THE AI IN EDUCATION MARKET
  • 4.2 AI IN EDUCATION MARKET: TOP THREE APPLICATION
  • 4.3 NORTH AMERICA: AI IN EDUCATION MARKET, BY SOFTWARE TYPE AND TOP APPLICATION
  • 4.4 AI IN EDUCATION MARKET: BY REGION, 2024
MARKET OVERVIEW AND INDUSTRY TRENDS
5
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    RESTRAINTS
    OPPORTUNITIES
    CHALLENGES
  • 5.3 INDUSTRY TRENDS
    EVOLUTION OF AI IN EDUCATION MARKET
    ARCHITECTURE OF AI IN EDUCATION
    CASE STUDY ANALYSIS
    - CASE STUDY 1
    - CASE STUDY 2
    - CASE STUDY 3
    - CASE STUDY 4
    - CASE STUDY 5
    ECOSYSTEM ANALYSIS/MARKET MAP
    TECHNOLOGY ANALYSIS
    - KEY TECHNOLOGIES
    - ADJACENT TECHNOLOGIES
    - COMPLIMENTARY TECHNOLOGIES
    - REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    - REGULATORY FRAMEWORK
    SUPPLY CHAIN ANALYSIS
    PORTER’S FIVE FORCES ANALYSIS
    - THREAT FROM NEW ENTRANTS
    - THREAT OF SUBSTITUTES
    - BARGAINING POWER OF SUPPLIERS
    - BARGAINING POWER OF BUYERS
    - INTENSITY OF COMPETITION RIVALRY
    KEY CONFERENCES AND EVENTS (2024-2025)
    KEY STAKEHOLDERS AND BUYING CRITERIA
    - KEY STAKEHOLDERS IN BUYING PROCESS
    - BUYING CRITERIA
    PRICING ANALYSIS
    - INDICATIVE PRICING ANALYSIS, BY SOFTWARE TYPE
    - INDICATIVE PRICING ANALYSIS, BY APPLICATION
    PATENT ANALYSIS
    TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
    INVESTMENT LANDSCAPE AND FUNDING SCENARIO
    IMPACT OF GENERATIVE AI IN EDUCATION MARKET
AI IN EDUCATION MARKET, BY OFFERING
6
  • 6.1 INTRODUCTION
    OFFERING: AI IN EDUCATION MARKET DRIVERS
  • 6.2 SOFTWARE
    BY TYPE
    - LEARNING MANAGEMENT SYSTEMS (LMS)
    - CHATBOTS AND VIRTUAL ASSISTANTS
    - ADAPTIVE LEARNING PLATFORMS
    - AUTOMATED GRADING AND FEEDBACK SYSTEMS
    - INTELLIGENT TUTORING SYSTEMS
    - CONTENT GENERATION TOOLS
    - PLAGIARISM DETECTION TOOLS
    - GAMIFIED LEARNING PLATFORMS
    - OTHERS
    BY DEPLOYMENT MODE
    - CLOUD
    - ON-PREMISES
  • 6.3 SERVICES
    PROFESSIONAL DEVELOPMENT PROGRAMS
    CUSTOM AI PLATFORM DEVELOPMENT
    DATA ANALYTICS CONSULTING
    ADMISSION SERVICES
    INSTRUCTIONAL SERVICES
    OTHERS
AI IN EDUCATION MARKET BY TECHNOLOGY
7
  • 7.1 INTRODUCTION
    GENERATIVE AI
    OTHER AI
AI IN EDUCATION MARKET, BY APPLICATION
8
  • 8.1 INTRODUCTION
    APPLICATION: AI IN EDUCATION MARKET DRIVERS
  • 8.2 ACADEMIC
    PERSONALIZED LEARNING AND CONTENT MANAGEMENT
    - CUSTOMIZABLE LESSON PLANS
    - ADAPTIVE QUIZZES AND TESTS
    - SKILL LEVEL ANALYSIS
    - OTHERS
    GRADING AND ASSESSMENT MANAGEMENT
    - ESSAY AND SHORT-ANSWER EVALUATION
    - RUBRIC-BASED ASSESSMENT CUSTOMIZATION
    - OTHERS
    LANGUAGE TRANSLATION AND SUPPORT
    - OTHERS
    STUDENT SUPPORT AND SERVICE
    GAMIFICATION AND ENGAGEMENT
    PREDICTIVE ANALYSIS
    PLAGIARISM DETECTION AND ACADEMIC INTEGRITY
  • 8.3 INSTITUTIONAL
    STUDENT ENROLLMENT AND RETENTION ANALYSIS
    ADMINISTRATIVE PROCESS AUTOMATION
    ALUMNI ENGAGEMENT AND RELATIONSHIP MANAGEMENT
    WORKFORCE ALIGNMENT AND SKILLS MAPPING
    RESOURCE ALLOCATION AND FINANCIAL PLANNING
AI IN EDUCATION MARKET, BY END-USER
9
  • 9.1 INTRODUCTION
    END-USER: AI IN EDUCATION MARKET DRIVERS
  • 9.2 TYPE
    ACADEMIC
    - STUDENTS
    - TUTORS (TEACHERS & PROFESSORS)
    - PARENTS & GUARDIANS
    - CORPORATE TRAINERS/ INSTRUCTORS
    - OTHERS
    INSTITUTIONAL
    - K 12
    - HIGHER EDUCATION
    - RESEARCH FIRMS & NGO
    - SKILL DEVELOPMENT & CORPORATE TRAINING CENTERS
    - GOVERNMENT EDUCATION DEPARTMENTS
    - EDTECH COMPANIES
    - OTHERS
AI IN EDUCATION MARKET, BY REGION
10
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN NORTH AMERICA
    UNITED STATES
    CANADA
  • 10.3 EUROPE
    EUROPE: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN EUROPE
    UNITED KINGDOM
    GERMANY
    FRANCE
    ITALY
    SPAIN
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN ASIA PACIFIC
    CHINA
    JAPAN
    INDIA
    SOUTH KOREA
    ANZ
    ASEAN
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST AND AFRICA
    MIDDLE EAST AND AFRICA: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN MIDDLE EAST AND AFRICA
    MIDDLE EAST
    - KSA
    - UAE
    - BAHRAIN
    - KUWAIT
    - REST OF MIDDLE EAST
    AFRICA
  • 10.6 LATIN AMERICA
    LATIN AMERICA: MARKET DRIVERS
    MACROECONOMIC OUTLOOK IN LATIN AMERICA
    BRAZIL
    MEXICO
    ARGENTINA
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
11
  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
    OVERVIEW OF STRATEGIES ADOPTED BY KEY AI IN EDUCATION VENDORS
  • 11.3 REVENUE ANALYSIS FOR KEY PLAYERS
    BUSINESS SEGMENT REVENUE ANALYSIS
  • 11.4 MARKET SHARE ANALYSIS
    MARKET RANKING ANALYSIS
  • 11.5 PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE TYPE
    PRODUCT COMPARATIVE ANALYSIS, BY LEARNING MANAGEMENT SYSTEM (LMS)
    - Canvas LMS (Canvas)
    - Blackboard Learn (Blackboard)
    - Moodle (C3 AI)
    PRODUCT COMPARATIVE ANALYSIS, BY INTELLIGENT TUTORING SYSTEMS
    - Carnegie Learning
    - Knewton
    - Smart Sparrow
    PRODUCT COMPARATIVE ANALYSIS, BY CHATBOTS & PERSONAL ASSISTANTS
    - IBM Watson Tutor (IBM)
    - AdmitHub (Mainstay)
    - Ivy Chatbot (Ivy.ai)
  • 11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company Footprint
    - Region Footprint
    - Offering Footprint
    - Application Footprint
    - End User Footprint
  • 11.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed List of Key Startups/SMEs
    - Competitive Benchmarking of Key Startups/ SMEs
  • 11.8 COMPANY VALUATION AND FINANCIAL METRICS
  • 11.9 COMPETITIVE SCENARIOS AND TRENDS
    PRODUCT LAUNCHES
    DEALS
    OTHERS
COMPANY PROFILES
12
  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS
    MICROSOFT
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    IBM
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    GOOGLE
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    ALIBABA CLOUD
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    AWS
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    ADOBE
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    PEARSON
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    BAIDU
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    OPENAI
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    DUOLINGO
    - BUSINESS OVERVIEW
    - PRODUCTS/SOLUTIONS/SERVICES OFFERED
    - RECENT DEVELOPMENTS
    CENGAGE GROUP
    KNEWTON
    SKILLSOFT
    UDACITY
    STRIDE
    HPE
    CARNEGIE LEARNING
    DREAMBOX LEARNING
    QUIZLET
    GRAMMARLY
    VIMEO
  • 12.3 STARTUPS/SMES
    RIIID
    COGNII
    ELSA SPEAK
    MEMRISE
    ALEF EDUCATION
    QUERIUM
    AMIRA LEARNING
    KNOWRE
    CENTURY TECH
    THINKSTER MATH
    QUIZIZZ
    KHAN ACADEMY
    SANA LABS
    TEACHMINT X
    360LEARNING
    MAINSTAY
    BLIPPAR
    BLUE CANOE LEARNING
    OTTER.AI
    QUILLBOT
    NOLEJ
    SPEECHIFY
ADJACENT AND RELATED MARKETS
13
  • 13.1 INTRODUCTION
  • 13.2 ARTIFICIAL INTELLIGENCE (AI) MARKET – GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
  • 13.3 LEARNING MANAGEMENT SYSTEM MARKET – GLOBAL FORECAST TO 2028
    MARKET DEFINITION
    MARKET OVERVIEW
APPENDIX
14
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 AVAILABLE CUSTOMIZATIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS

 

The study involved major activities in estimating the current market size for the AI in education market. Exhaustive secondary research was done to collect information on the AI in education market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the AI in education market.

Secondary Research

The market for the companies offering AI in education solutions is arrived at by secondary data available through paid and unpaid sources, analyzing the product portfolios of the major companies in the ecosystem, and rating the companies by their performance and quality. Various sources were referred to in the secondary research process to identify and collect information for this study. The secondary sources include annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases.

In the secondary research process, various secondary sources were referred to for identifying and collecting information related to the study. Secondary sources included annual reports, press releases, and investor presentations of AI in education vendors, forums, certified publications, and whitepapers. The secondary research was used to obtain critical information on the industry’s value chain, the total pool of key players, market classification, and segmentation from the market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the AI in education market. After the complete market engineering (calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also conducted to identify the segmentation types, industry trends, competitive landscape of AI in education solutions offered by various market players, and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key player strategies. In the complete market engineering process, the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.

AI In Education Market Size, and Share

Note: Tier 1 companies account for annual revenue of >USD 10 billion; tier 2 companies’ revenue ranges
between USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million–USD
1 billion

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the cell culture market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:

AI In Education Market : Top-Down and Bottom-Up Approach

AI In Education Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes explained above, the market was split into various segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Market Definition

AI in education refers to the deployment of underlying technologies such as discriminative machine learning, deep learning, NLP and generative AI to enhance the efficiency and efficacy of pedagogy and learning experience. It involves implementation of AI-based software across educational institutions to bolster and streamline administrative and operational processes and systems. From an academic perspective, this involves incorporation of AI-based platforms that can help tailor personalized learning modules and experiences to assist educational instructors to gauge, track and efficiently improve learning outcomes.

Stakeholders

  • AI in education software developers
  • AI in education service vendors
  • Educators
  • LMS Providers
  • Instructors
  • Government Educational Institutions
  • Research Academic Firms
  • Distributors and Value-added Resellers (VARs)
  • Independent Software Vendors (ISV)
  • Managed service providers
  • Support & maintenance service providers
  • System Integrators (SIs)/migration service providers
  • OEMs
  • Technology providers

Report Objectives

  • To define, describe, and predict the AI in education market by offering (software by type, services, and deployment mode), application, end users, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contributions to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI in education market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers & acquisitions, in the AI in education market
  • To analyze the impact of the recession across all regions in the AI in education market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

Further breakup of the North American AI in education market

  • Further breakup of the European AI in education market
  • Further breakup of the Asia Pacific AI in education market
  • Further breakup of the Middle Eastern & African AI in education market
  • Further breakup of the Latin America AI in education market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

Previous Versions of this Report

AI In Education Market by Software Type (Learning Management System (LMS), Adaptive Learning Platform, Chatbot & Virtual Assistant, Plagiarism Detection Tools), Technology, Academic Application (Predictive Analysis, Gamification) - Global Forecast to 2030

Report Code TC 6243
Published in May, 2018, By MarketsandMarkets™
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