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AI In Education Market Forecast & Size

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

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USD 5.82
MARKET SIZE, 2030
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CAGR 17.5%
(2024-2030)
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385
REPORT PAGES
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349
MARKET TABLES

OVERVIEW

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The AI in Education market is projected to grow from USD 2.21 billion in 2024 to USD 5.82 billion by 2030, registering a CAGR of 17.5%. This growth is driven by the sector’s accelerated shift toward digital transformation, where AI technologies are being embedded across learning platforms, tutoring mediums, and interactive educational applications. Vendors are increasingly positioning AI as a catalyst for personalized learning, adaptive content delivery, and data-driven student assessment. The integration of machine learning, natural language processing, and generative AI is enabling institutions to curate tailored content, automate feedback loops, and enhance engagement through game-based learning modules. As educational institutions seek to improve learning outcomes and operational efficiency, AI is being adopted not just as a tool for automation but as a strategic enabler of intelligent pedagogy, real-time performance tracking, and inclusive learning experiences. The rise of generative AI is further transforming curriculum design and instructional delivery, making content personalization and learner-centric models central to next-generation education systems.

KEY TAKEAWAYS

  • BY OFFERING
    The Learning Management System (LMS) segment is growing rapidly because it serves as the central infrastructure for digital education, hosting courses, assessments, and analytics. As institutions seek to scale personalized learning, LMS platforms are being enhanced with AI-driven features such as adaptive learning, real-time grading, and standards-based content delivery.
  • BY DEPLOYMENT MODE
    Cloud-based deployment is accelerating due to its cost-efficiency, scalability, and ability to support AI-native features. Educational institutions are increasingly adopting cloud LMS platforms to enable remote access, flexible learning environments, and seamless integration of AI-powered analytics and adaptive engines.
  • BY ACADEMIC APPLICATION
    Personalization and Content Management will lead the adoption. AI is transforming academic applications by enabling personalized learning pathways and intelligent content management. The demand for mastery-based learning, adaptive instruction, and structured content repositories is fueling growth in this segment.
  • BY INSTITUTIONAL END USER
    K–12 institutions are leading adoption due to their large student populations and strong public funding support. The focus on student-centric learning, classroom management, and behavioral analytics positions K–12 as the primary growth engine for AI in Education, with vendors tailoring solutions to meet the unique needs of this segment.
  • BY REGION
    While North America maintains the largest market share due to its mature EdTech ecosystem and early AI adoption, Asia-Pacific is projected to grow at the highest CAGR. This growth is driven by expanding digital infrastructure, government-led education initiatives, and a massive student base seeking equitable access to quality learning. Vendors are increasingly localizing AI solutions to meet regional needs, making Asia-Pacific a strategic priority for global EdTech players.
  • COMPETITIVE LANDSCAPE
    The competitive landscape is shaped by a blend of AI platform innovation, strategic partnerships, and targeted investments. Leading players such as Duolingo, Grammarly, and Coursera are collaborating with schools, universities, and EdTech firms to deliver scalable personalized learning, adaptive assessments, and intelligent tutoring systems. These strategies reflect a broader market shift toward AI-enabled engagement, data-driven instruction, and outcome-focused learning models.

The AI in Education market is undergoing rapid expansion, fueled by the rise of smart learning ecosystems, EdTech innovation, and competency-based education models powered by artificial intelligence. Institutions across K–12, higher education, and corporate training are increasingly adopting virtual classrooms, adaptive assessment engines, and automated student engagement platforms to deliver scalable, personalized learning experiences. Vendors are emphasizing the role of AI-driven learning analytics, intelligent content creation, and curriculum optimization in improving both operational efficiency and student outcomes. Strategic collaborations between EdTech providers and educational institutions, along with government-backed digital education initiatives, are accelerating the deployment of immersive learning tools, natural language generation, and AI-enabled tutoring systems. These technologies are reshaping pedagogy by enabling data-driven decision-making, real-time performance tracking, and outcome-focused instructional design, positioning AI as a foundational layer in the future of education.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The AI in education market is rapidly transforming as schools, universities, and EdTech companies increasingly leverage AI-driven insights for personalized learning, adaptive assessments, and data-driven decision-making. This growth is fueled by the demand for intelligent tutoring systems, predictive analytics, and tailored learning solutions that enhance student engagement and learning outcomes. Educational institutions use AI to optimize curriculum delivery, track performance metrics, and implement adaptive learning pathways. Real-time analytics, learning management system (LMS) integration, and automated administrative tools enable educators to make agile decisions. Privacy, data security, and compliance remain critical as AI adoption scales across K–12, higher education, and professional training sectors.

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Increasing demand for personalized learning experiences.
  • Rising adoption of e-learning platforms and digital education tools.
RESTRAINTS
Impact
Level
  • Reluctance among institutions to replace traditional teaching/learning methods.
OPPORTUNITIES
Impact
Level
  • Adaptive Tech Unlocks Immersive Experiences.
  • Rise in demand for AI-powered assessment systems and real-time feedback
CHALLENGES
Impact
Level
  • Misuse of AI tools for unethical academic practices

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Increasing demand for personalized learning experiences

Adoption in education is being driven by the need for personalized learning pathways, scalable infrastructure, and data-informed instruction. Implementations are deploying cloud-native platforms, adaptive learning engines, and real-time analytics to enhance engagement and improve outcomes. For example, GetCourse leveraged cloud compute and storage to scale its platform, while Century Tech's AI-powered solution enabled personalized instruction and reduced teacher workload. These implementations reflect a broader market shift toward intelligent automation, student-centric pedagogy, and operational agility.

Restraint: Reluctance among institutions to replace traditional teaching/learning methods.

Adoption of AI in education continues to grow, yet institutional hesitation to overhaul traditional teaching models and concerns over data privacy, cybersecurity, and regulatory compliance remain significant barriers. Vendors recognize these challenges, with reports from Microsoft, EDUCAUSE, and AWS Education highlighting GDPR, FERPA, and escalating cyber threats as primary concerns. In response, leading providers are implementing privacy-first architectures, secure cloud infrastructures, and transparent AI governance frameworks, prominently featured in their offerings and whitepapers. Additionally, faculty enablement, ethical AI deployment, and robust governance structures are critical to mitigating risk, fostering trust, and driving adoption of AI-powered educational solutions.

Opportunity: Adaptive Tech Unlocks Immersive Experiences

AI presents significant opportunities to transform education through adaptive technologies, generative content creation, and immersive learning tools. Institutions are integrating virtual tutors, automated assessments, and AR/VR-enhanced instruction to support self-paced learning and improve accessibility. Stride’s use of generative AI to create interactive storytelling apps for K–12 learners exemplifies how vendors are enabling creative engagement, digital literacy, and personalized content delivery. These innovations position institutions to expand reach, attract diverse learners, and differentiate through intelligent education ecosystems.

Challenge: Misuse of AI tools for unethical academic practices

The rise of generative AI has amplified concerns around academic integrity, with tools increasingly misused for plagiarism and content manipulation. Vendors are vocal about these risks, with Microsoft, Turnitin, and other academic integrity platforms developing plagiarism detection engines, usage monitoring tools, and ethical AI guidelines to safeguard learning environments. Institutions face the challenge of balancing innovation with accountability, ensuring AI-enhanced learning does not compromise ethical standards. This issue is prominently reflected in vendor events, product updates, and policy briefings, driving the creation of AI literacy programs, student integrity protocols, and transparent governance models to promote responsible AI adoption.

AI In Education Market: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
GetCourse leveraged Alibaba Cloud’s Elastic Compute and Object Storage Services to enhance scalability, streamline operations, and ensure reliable performance for its rapidly expanding online education platform. Alibaba Cloud delivered cost efficiency, flexible scaling, and responsive support, improving platform stability, operational agility, and user experience across GetCourse’s growing online education network.
Epsom and Ewell High School implemented Century Tech’s AI-powered adaptive learning platform to personalize education, reduce teacher workload, and improve student engagement through automated assessments and data-driven insights. Century Tech enabled personalized learning, reduced administrative workload, and enhanced classroom engagement while equipping teachers with actionable analytics to deliver targeted support and improve overall learning outcomes.
Malaysia’s Ministry of Education adopted Google Cloud solutions, integrating Google Workspace and BigQuery to unify platforms, enhance digital access, and enable data-driven insights for improved learning outcomes nationwide. Google Cloud improved digital accessibility, strengthened collaboration, and streamlined administration, empowering educators with real-time analytics to enhance teaching efficiency and student engagement across Malaysia’s education system.
Stride utilized Amazon Bedrock’s stable diffusion models to develop the Legend Library app, enabling K–12 students to create AI-generated stories and images for improved reading comprehension and engagement. Amazon Bedrock empowered Stride to deliver secure, high-quality, and interactive learning experiences through Generative AI, enhancing content quality, ensuring data privacy, and accelerating innovation in digital education.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

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.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

AI in education Market, By Software Type

Content generation tools are emerging as one of the fastest-growing software type in the AI in education market. These platforms leverage AI to create dynamic educational materials, automated lesson plans, interactive quizzes, and multimedia content tailored to diverse learning styles. By integrating natural language processing, generative AI, and automated content personalization, these tools enhance student engagement and reduce instructional workload. Educational institutions and EdTech platforms increasingly adopt AI-powered content creation software to deliver scalable, adaptive learning experiences, improve curriculum quality, and optimize teaching efficiency, making it a high-demand, revenue-driving segment globally.

AI in education Market, By Technology

Generative AI is a leading technology segment propelling the AI in education market. It powers intelligent content creation, automated tutoring, adaptive simulations, and interactive learning experiences. By utilizing machine learning models, natural language generation, and image/audio synthesis, generative AI enables highly personalized educational materials, scenario-based learning, and immersive digital classrooms. Schools, universities, and EdTech companies deploy generative AI to enhance curriculum development, reduce instructor workload, and boost student engagement. With growing demand for AI-driven educational solutions, generative AI is transforming teaching methodologies and driving adoption across K–12, higher education, and professional training, positioning it as a high-growth technology.

AI in education Market, By Institutional Application

Workforce alignment and skills mapping are rapidly gaining traction as a key application of AI in education. Institutions leverage AI algorithms and predictive analytics to assess skill gaps, align learning programs with industry needs, and personalize training pathways for students and employees. By integrating competency-based assessments, labor market insights, and learning management systems (LMS), AI enables actionable workforce planning, improved employability, and targeted professional development. This segment benefits K–12, higher education, and corporate training programs seeking to bridge talent shortages, upskill learners, and enhance career readiness, making it a critical driver of market growth.

AI in education Market, By Institutional End user

EdTech companies represent the fastest-growing institutional end-user segment in the AI in education market. These organizations integrate AI-driven solutions such as adaptive learning platforms, intelligent tutoring systems, predictive analytics, and automated assessment tools to deliver scalable, personalized learning experiences. By leveraging cloud-based LMS, generative AI content, and real-time performance tracking, EdTech firms enhance user engagement, optimize learning outcomes, and expand digital education offerings. Increasing investment in AI-powered solutions, growing student demand for interactive learning, and the need for efficient curriculum delivery position EdTech companies as the primary adopters driving revenue growth and innovation across global and Asia Pacific markets.

REGION

Asia Pacific to be the fastest-growing region in the AI in education market during the forecast period

Asia Pacific is emerging as the fastest-growing region in the AI in Education market, fueled by government-led digital transformation initiatives, regional education policies, and public-private partnerships. Vendors are witnessing strong adoption of adaptive learning systems, student engagement analytics, and AI-powered educational platforms, driven by a cultural emphasis on academic excellence and workforce readiness. These dynamics position Asia Pacific as a global leader in AI-driven education innovation, with increasing investments in infrastructure, training, and scalable digital learning ecosystems.

AI In Education Market: COMPANY EVALUATION MATRIX

In the AI in education market matrix, Duolingo (Star) leads with a strong market presence and a comprehensive suite of AI-driven learning solutions, enabling large-scale adoption in areas such as personalized language learning, adaptive assessments, student engagement analytics, and skill proficiency tracking. Grammarly (Emerging Leader) is gaining traction with its AI-powered writing assistance, real-time feedback, and adaptive learning models, helping students and professionals enhance writing skills, comprehension, and communication effectiveness. While Duolingo dominates with scale, innovation, and platform-wide integration, Grammarly demonstrates strong growth potential, steadily advancing toward the star quadrant.

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2023 (Value) USD 1.78 Billion
Market Forecast in 2030 USD 5.82 Billion
Growth Rate CAGR of 17.5% during 2024-2030
Years Considered 2019-2030
Base Year 2023
Forecast Period 2024-2030
Units Considered Value (USD Million)
Report Coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered
  • Offering - Software
  • Services Software - Type
  • Deployment Mode Software Type - Learning Management Systems (LMS)
  • Adaptive Learning Platforms
  • Intelligent Tutoring Systems
  • Content Generation Tools
  • Chatbots and Virtual Assistants
  • Automated Grading & Feedback Systems
  • Plagiarism Detection Tools
  • Gamified Learning Platforms
  • Other Software Types Deployment Mode - Cloud
  • On-Premises Services - Professional Development Programs
  • Data Analytics Consulting
  • Custom AI Platform Development
  • Admission Services
  • Instructional Services
  • Other Services Technology - Generative AI
  • Other AI Application - Academic
  • Insitutional Academic - Personalized Learning & Content management
  • Grading & Assessment Management
  • Student Support & Service
  • Plagiarism Detection & Academic Integrity
  • Predictive Analysis
  • Gamification & Engagement
  • Language Translation & Support Institutional - Student Enrolment & Detection Analysis
  • Administrative Process Automation
  • Resource Allocation & Financial Planning
  • Workforce Alignment & Skills Mapping
  • Alumni Engagement & Retention Analysis End User - Academic
  • Institutional Academic - Students
  • Tutors
  • Parents & Guardians
  • Corporate Trainers/Instructors
  • Other Academic End Users Institutional - K-12
  • Higher Education
  • EdTech Companies
  • Skill Development & Corporate Training Centers
  • Government Education Departments
  • Research Firms & NGO
  • Other Institutional End Users
Regions Covered North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America

WHAT IS IN IT FOR YOU: AI In Education Market REPORT CONTENT GUIDE

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Leading Solution Provider (US) Delivered competitive profiling of additional vendors, brand comparative analysis, and a drill-down of country-level segmentation across key markets. Enabled competitive positioning insights, product differentiation clarity, and multi-country market intelligence, supporting go-to-market strategy refinement and stakeholder alignment.
Leading Solution Provider (Europe) Provided competitive profiling, brand benchmarking, and segmentation analysis across additional geographies. Delivered in-depth market insights, comparative brand positioning, and segment-level intelligence, empowering strategic decision-making and regional growth planning.

RECENT DEVELOPMENTS

  • 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.
  • 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.
  • May 2024 : Khan Academy and Microsoft partnered to enhance access to AI tools for educators. This collaboration allows K-12 teachers in the U.S. 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.
  • 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.
  • January 2024 : Arizona State University (ASU) collaborated with OpenAI to explore the integration of AI in higher education. This collaboration focuses on using OpenAI's technologies, including ChatGPT, to enhance student success, support research initiatives, and improve administrative processes. Initially, access will be granted to ASU faculty, staff, and researchers who can propose innovative applications for AI in academic settings. The partnership emphasizes responsible AI use while ensuring data privacy, positioning ASU as a leader in adopting AI technologies to transform educational experiences and operational efficiency within the institution.

Table of Contents

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

TITLE
PAGE NO
INTRODUCTION
38
RESEARCH METHODOLOGY
45
EXECUTIVE SUMMARY
56
PREMIUM INSIGHTS
62
MARKET OVERVIEW AND INDUSTRY TRENDS
64
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increase in demand for personalized learning experiences
    - Rise in adoption of e-learning platforms and digital education tools
    - Increase in reliance on data-driven insights to enhance academic outcomes
    - Rise in prevalence of mobile and smart devices enables ubiquitous learning
    RESTRAINTS
    - Reluctance among institutions to replace traditional teaching/ learning methods
    OPPORTUNITIES
    - Enhanced customization of curriculum to individual student needs
    - Rise in demand for AI-powered assessment systems and real-time feedback
    - Advent of virtual tutors for self-paced learning
    - Integration of AR and VR with AI for immersive learning experience
    CHALLENGES
    - Protecting sensitive student data from breaches
    - Disparity in access to AI-enabled educational resources
    - Accessibility issues for students with disabilities
  • 5.3 INDUSTRY TRENDS
    EVOLUTION OF AI IN EDUCATION MARKET
    CASE STUDY ANALYSIS
    - Google helped Ministry of Education of Malaysia to transform digital learning accessibility and efficiency
    - Alibaba Cloud helped GetCourse enhance online education with scalable and cost-effective solutions
    - IVMF overcame learning management challenges with Skillsoft’s custom learning paths and enhanced user experience
    - Stride Learning enhanced Reading Comprehension with stable diffusion on Amazon Bedrock
    - Century Tech and Epsom & Ewell High School transformed learning with AI integration and enhanced engagement
    ECOSYSTEM ANALYSIS
    - Learning management system providers
    - Adaptive learning platform providers
    - Chatbots & virtual assistant providers
    - Automated grading & feedback system providers
    - Content generation tools providers
    - AI in education market end users
    TECHNOLOGY ANALYSIS
    - Key technologies
    - Adjacent technologies
    - Complementary technologies
    REGULATORY LANDSCAPE
    - Regulatory bodies, government agencies, and other organizations
    - Regulatory framework
    SUPPLY CHAIN ANALYSIS
    PORTER’S FIVE FORCES ANALYSIS
    - Threat of new entrants
    - Threat of substitutes
    - Bargaining power of suppliers
    - Bargaining power of buyers
    - Intensity of competitive rivalry
    KEY CONFERENCES AND EVENTS
    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
    - Methodology
    - Patents filed, by document type
    - Innovations and patent applications
    TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
    INVESTMENT LANDSCAPE AND FUNDING SCENARIO
    IMPACT OF GENERATIVE AI ON EDUCATION MARKET
    - Top use cases & market potential
    - Key use cases
AI IN EDUCATION MARKET, BY OFFERING
106
  • 6.1 INTRODUCTION
    OFFERING: AI IN EDUCATION MARKET DRIVERS
  • 6.2 SOFTWARE
    BY TYPE
    - Learning management systems (LMS)
    - Chatbots & virtual assistants
    - Adaptive learning platforms
    - Automated grading & feedback systems
    - Intelligent tutoring systems
    - Content generation tools
    - AI-enhanced plagiarism detection
    - Gamified learning platforms
    - Other software types
    BY DEPLOYMENT MODE
    - Cloud
    - On-premises
  • 6.3 SERVICES
    PROFESSIONAL DEVELOPMENT PROGRAMS
    - Essential to maintain educator competence and building community
    CUSTOM AI DEVELOPMENT PLATFORM
    - Technology adaptability: Crucial in diverse learning landscape
    DATA ANALYTICS CONSULTING
    - Optimizing course offerings and improving user experience with tailored content
    ADMISSION SERVICES
    - Transforming admissions with AI: Streamlining processes and boosting recruitment
    INSTRUCTIONAL SERVICES
    - Enabling educators to focus more on teaching and less on logistics
    OTHER SERVICES
AI IN EDUCATION MARKET, BY APPLICATION
131
  • 7.1 INTRODUCTION
    APPLICATION: AI IN EDUCATION MARKET DRIVERS
  • 7.2 ACADEMIC
    PERSONALIZED LEARNING & CONTENT MANAGEMENT
    - Customizable lesson plans
    - Adaptive quizzes and tests
    - Skill level analysis
    - Other personalized learning & content management applications
    GRADING & ASSESSMENT MANAGEMENT
    - Essay & short-answer evaluation
    - Multiple-choice grading automation
    - Rubric-based assessment customization
    - Other grading & assessment management applications
    LANGUAGE TRANSLATION & SUPPORT
    - Grammar & vocabulary enhancement
    - Pronunciation assistance
    - Language translation management
    - Other language translation & support applications
    STUDENT SUPPORT & SERVICES
    - Question-answering support
    - Assignment reminders
    - Campus navigation assistance
    - Mental health resources & counseling support
    - Other student support & services applications
    GAMIFICATION & ENGAGEMENT
    - Points & reward system management
    - Interactive challenges & quizzes
    - Gamified progress tracking
    - Other gamification & engagement applications
    PREDICTIVE ANALYSIS
    - Early-warning system management
    - Trend analysis
    - Predictive grading outcomes
    - Other predictive analysis applications
    PLAGIARISM DETECTION & ACADEMIC INTEGRITY
    - Paraphrasing & source-checking
    - Academic integrity tracking
    - Other plagiarism detection & academic integrity applications
  • 7.3 INSTITUTIONAL
    STUDENT ENROLLMENT & RETENTION ANALYSIS
    - At-risk student identification
    - Retention strategy optimization
    - Personalized communication
    - Student engagement
    - Other student enrollment & retention analysis applications
    ADMINISTRATIVE PROCESS AUTOMATION
    - Automated admission processing
    - Scheduling optimization
    - Document verification automation
    - Other administrative process automation applications
    ALUMNI ENGAGEMENT & RETENTION ANALYSIS
    - Alumni tracking
    - Engagement metrics
    - Event recommendations
    - Other alumni engagement & retention analysis applications
    WORKFORCE ALIGNMENT & SKILLS MAPPING
    - Career services
    - Internship matchmaking
    - Skill-gap analysis
    - Labor market demand analysis
    - Other workforce alignment & skills mapping applications
    RESOURCE ALLOCATION & FINANCIAL PLANNING
    - Predicting demand analysis
    - Budget forecasting
    - Financial aid allocation optimization
    - Other resource allocation & financial planning applications
AI IN EDUCATION MARKET, BY TECHNOLOGY
164
  • 8.1 INTRODUCTION
    GENERATIVE AI
    OTHER AI
AI IN EDUCATION MARKET, BY END USER
168
  • 9.1 INTRODUCTION
    END USER: AI IN EDUCATION MARKET DRIVERS
  • 9.2 BY TYPE
    ACADEMIC
    - Students
    - Tutors
    - Parents & guardians
    - Corporate trainers/instructors
    - Other academic end users
    INSTITUTIONAL
    - K–12
    - Higher education
    - Research firms & NGO
    - Skill development & corporate training centers
    - Government education departments
    - EdTech companies
    - Other institutional end users
    AI IN EDUCATION MARKET, BY REGION
AI IN EDUCATION MARKET, BY REGION
183
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: AI IN EDUCATION MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Revolutionizing US education with AI innovations and responsible frameworks
    CANADA
    - Pioneering inclusive AI education pathways with AIPP Initiative
  • 10.3 EUROPE
    EUROPE: AI IN EDUCATION MARKET DRIVERS
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - Government investment and collaborations with schools and universities
    GERMANY
    - Industry-academia collaboration with strategies such as National AI Strategy
    FRANCE
    - Regulatory efforts and funding for research and establishment of Interdisciplinary Institutes of Artificial Intelligence
    ITALY
    - AI pilot program in schools across four regions
    SPAIN
    - Notable firms focusing on democratizing access to knowledge through AI-driven digital content platforms
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: AI IN EDUCATION MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Leading AI education transformation through public-private collaboration
    JAPAN
    - Advancing AI literacy with Nationwide Educational Strategy and Teacher Training
    INDIA
    - Accelerating AI education and innovation through government initiatives and industry collaborations
    SOUTH KOREA
    - Strategies such as Digital Infrastructure Improvement Plan for integrating AI into public education
    AUSTRALIA & NEW ZEALAND
    - Government focus on curriculum and building frameworks for AI in schools
    ASEAN COUNTRIES
    - Promoting secure digital services and technology ecosystems with ASEAN Digital Masterplan 2025
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET DRIVERS
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    MIDDLE EAST
    - KSA
    - UAE
    - Bahrain
    - Kuwait
    - Rest of the Middle East
    AFRICA
  • 10.6 LATIN AMERICA
    LATIN AMERICA: AI IN EDUCATION MARKET DRIVERS
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Innovative EdTech solutions and strategic investments
    MEXICO
    - Modernizing education with AI-driven content creation and enhanced student engagement
    ARGENTINA
    - Platforms for personalized learning and teaching support and projects such as ColabIA
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
251
  • 11.1 OVERVIEW
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
  • 11.3 REVENUE ANALYSIS, 2019–2023
  • 11.4 MARKET SHARE ANALYSIS, 2023
    MARKET SHARE ANALYSIS OF KEY PLAYERS
    MARKET RANKING ANALYSIS
  • 11.5 PRODUCT COMPARATIVE ANALYSIS
    PRODUCT COMPARATIVE ANALYSIS, BY LEARNING MANAGEMENT SYSTEM (LMS)
    - Canvas LMS (Canvas)
    - AI-powered LMS (360Learning)
    PRODUCT COMPARATIVE ANALYSIS OF INTELLIGENT TUTORING SYSTEMS
    - Carnegie Learning
    - Knewton Alta
    - Smart Sparrow
    PRODUCT COMPARATIVE ANALYSIS OF CHATBOTS & PERSONAL ASSISTANTS
    - IBM Watson Tutor (IBM)
    - AdmitHub (Mainstay)
  • 11.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    COMPANY EVALUATION MATRIX: KEY PLAYERS (ACADEMIC), 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY EVALUATION MATRIX: KEY PLAYERS (INSTITUTIONAL), 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS
    - Company footprint
    - Software type footprint
    - Application footprint
    - End user footprint
    - Region footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    COMPANY EVALUATION MATRIX: STARTUPS/SMES (ACADEMIC), 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPANY EVALUATION MATRIX: STARTUPS/SMES (INSTITUTIONAL), 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
  • 11.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
282
  • 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
    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
    QUIZLET
    OTTER.AI
    QUILLBOT
    NOLEJ
    SPEECHIFY
ADJACENT AND RELATED MARKETS
360
  • 13.1 INTRODUCTION
  • 13.2 ARTIFICIAL INTELLIGENCE (AI) MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - Artificial intelligence market, by offering
    - Artificial intelligence market, by business function
    - Artificial intelligence market, by technology
    - Artificial intelligence market, by vertical
    - Artificial intelligence market, by region
  • 13.3 LEARNING MANAGEMENT SYSTEM MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - LMS market, by offering
    - LMS market, by delivery mode
    - LMS market, by organization size
    - LMS market, by deployment type
    - LMS market, by application
    - LMS market, by user type
    - LMS market, by region
APPENDIX
374
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 INCLUSIONS & EXCLUSIONS
  • TABLE 2 USD EXCHANGE RATES, 2019–2023
  • TABLE 3 PRIMARY INTERVIEWS
  • TABLE 4 FACTOR ANALYSIS
  • TABLE 5 GLOBAL AI IN EDUCATION MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y)
  • TABLE 6 GLOBAL MARKET SIZE AND GROWTH RATE, 2024–2030 (USD MILLION, Y-O-Y)
  • TABLE 7 MARKET: ECOSYSTEM
  • TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 MARKET: IMPACT OF PORTER’S FIVE FORCES
  • TABLE 14 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024–2025
  • TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
  • TABLE 16 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
  • TABLE 17 INDICATIVE PRICING ANALYSIS, BY SOFTWARE TYPE, 2024 (USD/MONTH)
  • TABLE 18 INDICATIVE PRICING OF AI IN EDUCATION, BY APPLICATION
  • TABLE 19 PATENTS FILED, 2014–2024
  • TABLE 20 AI IN EDUCATION MARKET: LIST OF PATENTS GRANTED, 2023–2024
  • TABLE 21 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 22 MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 23 MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 24 MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 25 AI SOFTWARE IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 26 AI SOFTWARE IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 27 LEARNING MANAGEMENT SYSTEMS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 28 LEARNING MANAGEMENT SYSTEMS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 29 CHATBOTS & VIRTUAL ASSISTANTS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 30 CHATBOTS & VIRTUAL ASSISTANTS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 31 ADAPTIVE LEARNING PLATFORMS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 32 ADAPTIVE LEARNING PLATFORMS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 33 AUTOMATED GRADING & FEEDBACK SYSTEMS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 34 AUTOMATED GRADING & FEEDBACK SYSTEMS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 35 INTELLIGENT TUTORING SYSTEMS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 36 INTELLIGENT TUTORING SYSTEMS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 37 CONTENT GENERATION TOOLS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 38 CONTENT GENERATION TOOLS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 39 AI-ENHANCED PLAGIARISM DETECTION IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 40 AI-ENHANCED PLAGIARISM DETECTION IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 41 GAMIFIED LEARNING PLATFORMS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 42 GAMIFIED LEARNING PLATFORMS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 43 OTHER AI SOFTWARE TYPES IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 44 OTHER AI SOFTWARE TYPES IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 45 AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 46 MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 47 CLOUD-BASED MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 48 CLOUD-BASED MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 49 ON-PREMISE MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 50 ON-PREMISE MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 51 MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 52 MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 53 PROFESSIONAL DEVELOPMENT PROGRAMS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 54 PROFESSIONAL DEVELOPMENT PROGRAMS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 55 CUSTOM AI DEVELOPMENT PLATFORMS IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 56 CUSTOM AI DEVELOPMENT PLATFORMS IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 57 DATA ANALYTICS CONSULTING AI IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 58 DATA ANALYTICS CONSULTING IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 59 ADMISSION SERVICES IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 60 ADMISSION SERVICES IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 61 INSTRUCTIONAL SERVICES IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 62 INSTRUCTIONAL SERVICES IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 63 OTHER AI SERVICES IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 64 OTHER AI SERVICES IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 65 AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 66 MARKET, BY ACADEMIC APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 67 AI IN PERSONALIZED LEARNING & CONTENT MANAGEMENT MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 68 AI IN PERSONALIZED LEARNING & CONTENT MANAGEMENT MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 69 AI IN GRADING & ASSESSMENT MANAGEMENT MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 70 AI IN GRADING & ASSESSMENT MANAGEMENT MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 71 AI IN LANGUAGE TRANSLATION & SUPPORT MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 72 AI IN LANGUAGE TRANSLATION & SUPPORT MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 73 AI IN STUDENT SUPPORT & SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 74 AI IN STUDENT SUPPORT & SERVICES MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 75 AI IN GAMIFICATION & ENGAGEMENT MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 76 AI IN GAMIFICATION & ENGAGEMENT MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 77 AI IN PREDICTIVE ANALYSIS MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 78 AI IN PREDICTIVE ANALYSIS MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 79 AI IN PLAGIARISM DETECTION & ACADEMIC INTEGRITY MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 80 AI IN PLAGIARISM DETECTION & ACADEMIC INTEGRITY MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 81 AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 82 MARKET, BY INSTITUTIONAL APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 83 AI IN STUDENT ENROLLMENT & RETENTION ANALYSIS MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 84 AI IN STUDENT ENROLLMENT & RETENTION ANALYSIS MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 85 AI IN ADMINISTRATIVE PROCESS AUTOMATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 86 AI IN ADMINISTRATIVE PROCESS AUTOMATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 87 AI IN ALUMNI ENGAGEMENT & RETENTION ANALYSIS MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 88 AI IN ALUMNI ENGAGEMENT & RETENTION ANALYSIS MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 89 AI IN WORKFORCE ALIGNMENT & SKILL MAPPING MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 90 AI IN WORKFORCE ALIGNMENT & SKILL MAPPING MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 91 AI IN RESOURCE ALLOCATION & FINANCIAL PLANNING MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 92 AI IN RESOURCE ALLOCATION & FINANCIAL PLANNING MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 93 AI IN EDUCATION MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 94 MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 95 GENERATIVE MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 96 GENERATIVE MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 97 OTHER AI TECHNOLOGIES IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 98 OTHER AI TECHNOLOGIES IN EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 99 MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 100 MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 101 AI IN ACADEMIC EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 102 AI IN ACADEMIC EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 103 MARKET, BY INSTITUTIONAL END USER, 2019–2023 (USD MILLION)
  • TABLE 104 AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2024–2030 (USD MILLION)
  • TABLE 105 AI IN INSTITUTIONAL EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 106 AI IN INSTITUTIONAL EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 107 AI IN K–12 EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 108 AI IN K–12 EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 109 AI IN HIGHER EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 110 AI IN HIGHER EDUCATION MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 111 AI IN RESEARCH FIRMS & NGOS MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 112 AI IN RESEARCH FIRMS & NGOS MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 113 AI IN SKILL DEVELOPMENT & CORPORATE TRAINING CENTERS MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 114 AI IN SKILL DEVELOPMENT & CORPORATE TRAINING CENTERS MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 115 AI IN GOVERNMENT EDUCATION DEPARTMENTS MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 116 AI IN GOVERNMENT EDUCATION DEPARTMENTS MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 117 AI IN EDTECH COMPANIES MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 118 AI IN EDTECH COMPANIES MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 119 AI IN OTHER INSTITUTIONAL END USERS MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 120 AI IN OTHER INSTITUTIONAL END USERS MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 121 AI IN EDUCATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 122 MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 123 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 124 NORTH AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 125 NORTH AMERICA: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 126 NORTH AMERICA: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 127 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 128 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 129 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 130 NORTH AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 131 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 132 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 133 NORTH AMERICA: AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 134 NORTH AMERICA: MARKET, BY ACADEMIC APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 135 NORTH AMERICA: MARKET, BY INSTITUTIONAL APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 136 NORTH AMERICA: MARKET, BY INSTITUTIONAL APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 137 NORTH AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 138 NORTH AMERICA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 139 NORTH AMERICA: MARKET, BY INSTITUTIONAL END USER, 2019–2023 (USD MILLION)
  • TABLE 140 NORTH AMERICA: MARKET, BY INSTITUTIONAL END USER, 2024–2030 (USD MILLION)
  • TABLE 141 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 142 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 143 US: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 144 US: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 145 CANADA: AI IN EDUCATION MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 146 CANADA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 147 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 148 EUROPE: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 149 EUROPE: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 150 EUROPE: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 151 EUROPE: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 152 EUROPE: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 153 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 154 EUROPE: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 155 EUROPE: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 156 EUROPE: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 157 EUROPE: MARKET, BY ACADEMIC APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 158 EUROPE: MARKET, BY ACADEMIC APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 159 EUROPE: MARKET, BY INSTITUTIONAL APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 160 EUROPE: MARKET, BY INSTITUTIONAL APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 161 EUROPE: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 162 EUROPE: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 163 EUROPE: MARKET, BY INSTITUTIONAL END USER, 2019–2023 (USD MILLION)
  • TABLE 164 EUROPE: MARKET, BY INSTITUTIONAL END USER, 2024–2030 (USD MILLION)
  • TABLE 165 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 166 EUROPE: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 167 UK: AI IN EDUCATION MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 168 UK: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 169 GERMANY: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 170 GERMANY: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 171 FRANCE: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 172 FRANCE: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 173 ITALY: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 174 ITALY: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 175 SPAIN: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 176 SPAIN: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 177 REST OF EUROPE: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 178 REST OF EUROPE: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: AI IN EDUCATION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 189 ASIA PACIFIC: MARKET, BY ACADEMIC APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 190 ASIA PACIFIC: MARKET, BY ACADEMIC APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 191 ASIA PACIFIC: MARKET, BY INSTITUTIONAL APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 192 ASIA PACIFIC: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 193 ASIA PACIFIC: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 194 ASIA PACIFIC: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 195 ASIA PACIFIC: MARKET, BY INSTITUTIONAL END USER, 2019–2023 (USD MILLION)
  • TABLE 196 ASIA PACIFIC: MARKET, BY INSTITUTIONAL END USER, 2024–2030 (USD MILLION)
  • TABLE 197 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2019–2023 (USD MILLION)
  • TABLE 198 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2024–2030 (USD MILLION)
  • TABLE 199 CHINA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 200 CHINA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 201 JAPAN: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 202 JAPAN: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 203 INDIA: AI IN EDUCATION MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 204 INDIA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 205 SOUTH KOREA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 206 SOUTH KOREA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 207 AUSTRALIA & NEW ZEALAND: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 208 AUSTRALIA & NEW ZEALAND: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 209 ASEAN: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 210 ASEAN: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 211 ASEAN: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 212 ASEAN: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 213 REST OF ASIA PACIFIC: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 214 REST OF ASIA PACIFIC: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 215 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 216 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 217 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 218 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 219 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 220 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 221 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 222 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 223 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 224 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 225 MIDDLE EAST & AFRICA: MARKET, BY ACADEMIC APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 226 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 227 MIDDLE EAST & AFRICA: MARKET, BY INSTITUTIONAL APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 228 MIDDLE EAST & AFRICA: MARKET, BY INSTITUTIONAL APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 229 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 230 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 231 MIDDLE EAST & AFRICA: MARKET, BY INSTITUTIONAL END USER, 2019–2023 (USD MILLION)
  • TABLE 232 MIDDLE EAST & AFRICA: MARKET, BY INSTITUTIONAL END USER, 2024–2030 (USD MILLION)
  • TABLE 233 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 234 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 235 MIDDLE EAST: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 236 MIDDLE EAST: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 237 KSA: AI IN EDUCATION MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 238 KSA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 239 UAE: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 240 UAE: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 241 BAHRAIN: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 242 BAHRAIN: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 243 KUWAIT: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 244 KUWAIT: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 245 REST OF MIDDLE EAST: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 246 REST OF MIDDLE EAST: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 247 AFRICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 248 AFRICA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 249 LATIN AMERICA: AI IN EDUCATION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 250 LATIN AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 251 LATIN AMERICA: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 252 LATIN AMERICA: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 253 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 254 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 255 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 256 LATIN AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 257 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 258 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 259 LATIN AMERICA: MARKET, BY ACADEMIC APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 260 LATIN AMERICA: MARKET, BY ACADEMIC APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 261 LATIN AMERICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 262 LATIN AMERICA: MARKET, BY INSTITUTIONAL APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 263 LATIN AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 264 LATIN AMERICA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 265 LATIN AMERICA: MARKET, BY INSTITUTIONAL END USER, 2019–2023 (USD MILLION)
  • TABLE 266 LATIN AMERICA: MARKET, BY INSTITUTIONAL END USER, 2024–2030 (USD MILLION)
  • TABLE 267 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 268 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 269 BRAZIL: AI IN EDUCATION MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 270 BRAZIL: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 271 MEXICO: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 272 MEXICO: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 273 ARGENTINA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 274 ARGENTINA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 275 REST OF LATIN AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 276 REST OF LATIN AMERICA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 277 AI IN EDUCATION MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS, 2021–2024
  • TABLE 278 MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 279 MARKET: SOFTWARE TYPE FOOTPRINT, 2023
  • TABLE 280 MARKET: APPLICATION FOOTPRINT (ACADEMIC), 2023
  • TABLE 281 MARKET: APPLICATION FOOTPRINT (INSTITUTIONAL), 2023
  • TABLE 282 MARKET: END USER FOOTPRINT, 2023
  • TABLE 283 MARKET: REGION FOOTPRINT, 2023
  • TABLE 284 MARKET: DETAILED LIST OF KEY STARTUPS/SMES, 2023
  • TABLE 285 MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES, 2023
  • TABLE 286 MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES, BY APPLICATION, 2023
  • TABLE 287 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–NOVEMBER 2024
  • TABLE 288 AI IN EDUCATION MARKET: DEALS, JANUARY 2021–NOVEMBER 2024
  • TABLE 289 MICROSOFT: COMPANY OVERVIEW
  • TABLE 290 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 291 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 292 MICROSOFT: DEALS
  • TABLE 293 IBM: COMPANY OVERVIEW
  • TABLE 294 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 295 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 296 IBM: DEALS
  • TABLE 297 GOOGLE: COMPANY OVERVIEW
  • TABLE 298 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 299 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 300 GOOGLE: DEALS
  • TABLE 301 ALIBABA CLOUD: COMPANY OVERVIEW
  • TABLE 302 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 303 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 304 ALIBABA CLOUD: DEALS
  • TABLE 305 AWS: COMPANY OVERVIEW
  • TABLE 306 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 307 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 308 ADOBE: COMPANY OVERVIEW
  • TABLE 309 ADOBE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 310 ADOBE: DEALS
  • TABLE 311 PEARSON: COMPANY OVERVIEW
  • TABLE 312 PEARSON: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 313 PEARSON: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 314 PEARSON: DEALS
  • TABLE 315 BAIDU: COMPANY OVERVIEW
  • TABLE 316 BAIDU: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 317 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 318 OPENAI: COMPANY OVERVIEW
  • TABLE 319 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 320 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 321 OPENAI: DEALS
  • TABLE 322 DUOLINGO: COMPANY OVERVIEW
  • TABLE 323 DUOLINGO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 324 DUOLINGO: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 325 DUOLINGO: DEALS
  • TABLE 326 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
  • TABLE 327 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
  • TABLE 328 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
  • TABLE 329 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
  • TABLE 330 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
  • TABLE 331 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
  • TABLE 332 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
  • TABLE 333 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
  • TABLE 334 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
  • TABLE 335 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
  • TABLE 336 LEARNING MANAGEMENT SYSTEM MARKET, BY OFFERING, 2018–2022 (USD MILLION)
  • TABLE 337 LEARNING MANAGEMENT SYSTEM MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 338 LEARNING MANAGEMENT SYSTEM MARKET, BY DELIVERY MODE, 2018–2022 (USD MILLION)
  • TABLE 339 LEARNING MANAGEMENT SYSTEM MARKET, BY DELIVERY MODE, 2023–2028 (USD MILLION)
  • TABLE 340 LEARNING MANAGEMENT SYSTEM MARKET, BY ORGANIZATION SIZE, 2018–2022 (USD MILLION)
  • TABLE 341 LEARNING MANAGEMENT SYSTEM MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
  • TABLE 342 LEARNING MANAGEMENT SYSTEM MARKET, BY DEPLOYMENT TYPE, 2018–2022 (USD MILLION)
  • TABLE 343 LEARNING MANAGEMENT SYSTEM MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
  • TABLE 344 LEARNING MANAGEMENT SYSTEM MARKET, BY APPLICATION AREA, 2018–2022 (USD MILLION)
  • TABLE 345 LEARNING MANAGEMENT SYSTEM MARKET, BY APPLICATION AREA, 2023–2028 (USD MILLION)
  • TABLE 346 LEARNING MANAGEMENT SYSTEM MARKET, BY USER TYPE, 2018–2022 (USD MILLION)
  • TABLE 347 LEARNING MANAGEMENT SYSTEM MARKET, BY USER TYPE, 2023–2028 (USD MILLION)
  • TABLE 348 LEARNING MANAGEMENT SYSTEM MARKET, BY REGION, 2018–2022 (USD MILLION)
  • TABLE 349 LEARNING MANAGEMENT SYSTEM MARKET, BY REGION, 2023–2028 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 AI IN EDUCATION MARKET SEGMENTATION
  • FIGURE 2 STUDY YEARS CONSIDERED
  • FIGURE 3 MARKET: RESEARCH DESIGN
  • FIGURE 4 BREAKUP OF PRIMARY PROFILES, BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 5 KEY INSIGHTS FROM INDUSTRY EXPERTS
  • FIGURE 6 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 7 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICES OF MARKET
  • FIGURE 8 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF MARKET
  • FIGURE 9 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF MARKET
  • FIGURE 10 APPROACH 2, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI IN EDUCATION THROUGH OVERALL AI IN EDUCATION SOLUTIONS SPENDING
  • FIGURE 11 AI SOFTWARE IN EDUCATION TO DOMINATE OVER AI SERVICES IN EDUCATION MARKET, 2024 (USD MILLION)
  • FIGURE 12 LEARNING MANAGEMENT SYSTEMS TO BE LARGEST SEGMENT AMONG AI SOFTWARE IN EDUCATION MARKET IN 2024
  • FIGURE 13 CLOUD DEPLOYMENT TO SIGNIFICANTLY LEAD MARKET IN 2024 (USD MILLION)
  • FIGURE 14 PROFESSIONAL DEVELOPMENT PROGRAMS TO LEAD AMONG AI SERVICES IN EDUCATION MARKET IN 2024
  • FIGURE 15 OTHER AI TECHNOLOGIES TO DOMINATE OVER GENERATIVE MARKET IN 2024
  • FIGURE 16 PERSONALIZED LEARNING & CONTENT MANAGEMENT TO LEAD MARKET IN 2024
  • FIGURE 17 STUDENT ENROLLMENT & DETECTION ANALYSIS TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 18 INSTITUTIONAL END USERS TO DOMINATE BY LARGE MARGIN OVER ACADEMIC END USERS IN MARKET IN 2024
  • FIGURE 19 K-12 TO BE LARGEST INSTITUTIONAL END USERS OF AI IN EDUCATION IN 2024
  • FIGURE 20 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 21 INCREASING DEMAND FOR PERSONALIZED LEARNING AND DIGITAL EDUCATION TOOLS FOR IMMERSIVE EXPERIENCE TO DRIVE MARKET GROWTH
  • FIGURE 22 PREDICTIVE ANALYSIS SEGMENT TO GROW AT HIGHEST CAGR AMONG ACADEMIC APPLICATIONS DURING FORECAST PERIOD
  • FIGURE 23 CLOUD DEPLOYMENT AND INSTITUTIONAL END USERS TO ACCOUNT FOR LARGEST RESPECTIVE SEGMENTAL SHARES IN NORTH AMERICA IN 2024
  • FIGURE 24 NORTH AMERICA TO BE LARGEST REGIONAL MARKET IN 2024
  • FIGURE 25 AI IN EDUCATION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 26 EVOLUTION OF MARKET
  • FIGURE 27 MARKET ECOSYSTEM: KEY PLAYERS
  • FIGURE 28 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 29 PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 30 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
  • FIGURE 31 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
  • FIGURE 32 INDICATIVE PRICING ANALYSIS, BY SOFTWARE TYPE, 2024 (USD/MONTH)
  • FIGURE 33 NUMBER OF PATENTS GRANTED TO VENDORS IN LAST 10 YEARS
  • FIGURE 34 REGIONAL ANALYSIS OF PATENTS GRANTED, 2014–2024
  • FIGURE 35 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
  • FIGURE 36 MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
  • FIGURE 37 AI IN EDUCATION MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING AI IN EDUCATION ACROSS KEY END USERS
  • FIGURE 38 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 CONTENT GENERATION TOOLS TO GROW AT HIGHEST CAGR AMONG SOFTWARE DURING FORECAST PERIOD
  • FIGURE 40 ON-PREMISE DEPLOYMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 41 DATA ANALYTICS CONSULTING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 PREDICTIVE ANALYSIS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 WORKFORCE ALIGNMENT & SKILLS MAPPING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 44 GENERATIVE AI TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 45 INSTITUTIONAL SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 46 EDTECH COMPANIES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 47 INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 48 ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 49 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 50 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 51 AI IN EDUCATION MARKET: REVENUE ANALYSIS OF FIVE KEY PLAYERS, 2019–2023
  • FIGURE 52 SHARE ANALYSIS OF LEADING COMPANIES IN MARKET, 2023
  • FIGURE 53 PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE TYPE
  • FIGURE 54 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 55 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 56 MARKET: COMPANY EVALUATION MATRIX OF KEY PLAYERS (ACADEMIC), 2023
  • FIGURE 57 MARKET: COMPANY EVALUATION MATRIX OF KEY PLAYERS (INSTITUTIONAL), 2023
  • FIGURE 58 MARKET: COMPANY FOOTPRINT (ACADEMIC), 2023
  • FIGURE 59 MARKET: COMPANY FOOTPRINT (INSTITUTIONAL), 2023
  • FIGURE 60 MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES, ACADEMIC), 2023
  • FIGURE 61 AI IN EDUCATION MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES, INSTITUTIONAL), 2023
  • FIGURE 62 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 63 IBM: COMPANY SNAPSHOT
  • FIGURE 64 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 65 ALIBABA CLOUD: COMPANY SNAPSHOT
  • FIGURE 66 AWS: COMPANY SNAPSHOT
  • FIGURE 67 ADOBE: COMPANY SNAPSHOT
  • FIGURE 68 PEARSON: COMPANY SNAPSHOT
  • FIGURE 69 BAIDU: COMPANY SNAPSHOT
  • FIGURE 70 DUOLINGO: COMPANY SNAPSHOT

 

Methodology

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

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

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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)

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.

What are the key trends and technologies in the AI in education market?

The key trends and technologies in the AI in education market include personalized learning platforms, AI-powered chatbots and virtual assistants, adaptive learning systems, gamification, predictive analytics, and generative AI for creating customized content. The market is also seeing growth in AI-driven educational robots and integration with education ERP systems. These innovations aim to enhance student engagement, automate administrative tasks, and improve learning outcomes.

What is the estimated annual growth rate of the AI in education market in North America during the projected years?

The North American AI in education market is expected to grow at a compound annual growth rate of 15.9% during the forecast period leading up to 2030.

Adjacent Markets

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Growth opportunities and latent adjacency in AI In Education Market