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教育领域人工智慧的全球市场：按产品、按应用、按技术、按地区 - 到 2030 年的预测
市场调查报告书
商品编码
1603242

教育领域人工智慧的全球市场：按产品、按应用、按技术、按地区 - 到 2030 年的预测

AI In Education Market by Software Type (Learning Management System, Adaptive Learning Platform, Chatbot & Virtual Assistant, Plagiarism Detection Tools), Technology, Academic Application - Global Forecast to 2030
出版日期: | 出版商: MarketsandMarkets | 英文 386 Pages | 订单完成后即时交付

价格

教育领域人工智慧的市场规模预计将从 2024 年的 22.1 亿美元成长到 2030 年的 58.2 亿美元，预测期内复合年增长率为 17.5%。

人们越来越依赖资料主导的见解来提高学术成果，对个人化学习体验的需求也不断增长。虚拟导师的出现让人们能够按照自己的步调学习，而 AR、VR 和 AI 的融合透过提供身临其境型的互动体验正在彻底改变教育。这些进步共同重塑了传统的学习方法，并为更具适应性和吸引力的教育环境铺平了道路。

调查范围
调查年份 2019-2030
基准年 2023年
预测期 2024-2030
考虑单位 美元（十亿美元）
部分 按产品、按应用、按技术、按地区
目标区域 北美、欧洲、亚太地区、中东/非洲、拉丁美洲

这种增长是由于对个人化学习体验的日益重视以及机构提高学生保留率的需求不断增加而推动的。人工智慧技术可以分析大量的学生资料，以识别趋势并预测招生模式，使机构更容易有效地调整策略。人工智慧工具不仅可以提高学生的参与度，还可以优化机构的资源，最终改善教育成果。

由于几个关键因素突显了亚太地区先进教育技术的快速扩张和采用，亚太地区被认为在人工智慧教育市场中表现出最高的复合年增长率。生成式人工智慧工具有助于客製化教育内容，使学生能够接触适合他们个人学习风格和节奏的材料。例如，人工智慧驱动的平台可以根据学生的表现即时调整课程，提高学生的参与度和理解力。此外，这些国家的措施强调人工智慧的道德使用和教师培训，并让教育工作者负责任地利用人工智慧的潜力。总体而言，生成式人工智慧在亚太地区教育环境中的有效运用正在为创新教学实践铺平道路。

该报告研究了全球人工智慧教育市场，包括按产品、应用、技术、地区和进入市场的公司概况分類的趋势。

目录

第一章简介

第二章调查方法

第三章执行摘要

第 4 章重要考察

第五章市场概况及产业趋势

  • 介绍
  • 市场动态
  • 产业动态
    • 人工智慧在教育市场的演变
    • 案例研究分析
    • 生态系分析
    • 技术分析
    • 监管状况
    • 供应链分析
    • 波特五力分析
    • 主要会议及活动
    • 主要相关人员和采购标准
    • 价格分析
    • 专利分析
    • 影响客户业务的趋势/干扰
    • 投资状况及资金筹措场景
    • 生成式人工智慧对教育市场的影响

第六章 教育领域的人工智慧市场（依产品分类）

  • 介绍
  • 软体
  • 服务

第七章 教育领域的人工智慧市场，依应用分类

  • 介绍
  • 学术机构
  • 机构投资者

第八章 教育领域的人工智慧市场（按技术划分）

  • 介绍
    • 人工智慧世代
    • 其他的

第 9 章 教育领域的人工智慧市场，依最终使用者划分

  • 介绍
  • 按类型
    • 学术机构
    • 机构投资者

第10章 教育领域人工智慧市场（按地区）

  • 介绍
  • 北美洲
    • 北美：教育市场驱动因素
    • 北美：宏观经济展望
    • 美国
    • 加拿大
  • 欧洲
    • 欧洲：教育市场驱动因素
    • 欧洲：宏观经济前景
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 亚太地区
    • 亚太地区：教育市场驱动因素
    • 亚太地区：宏观经济展望
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲和纽西兰
    • 东南亚国协
    • 其他的
  • 中东/非洲
    • 中东和非洲：教育市场驱动因素
    • 中东和非洲：宏观经济前景
    • 中东
    • 非洲
  • 拉丁美洲
    • 拉丁美洲：教育市场驱动因素
    • 拉丁美洲：宏观经济前景
    • 巴西
    • 墨西哥
    • 阿根廷
    • 其他的

第十一章竞争格局

  • 概述
  • 主要参与企业的策略/优势，2020-2024
  • 2019-2023年收益分析
  • 2023 年市场占有率分析
  • 产品比较分析
  • 主要供应商企业评估及财务指标
  • 企业评估矩阵：主要参与企业，2023
  • 企业评估矩阵：Start-Ups/小型企业，2023 年
  • 竞争场景

第十二章 公司简介

  • 介绍
  • 主要参与企业
    • MICROSOFT
    • IBM
    • GOOGLE
    • ALIBABA CLOUD
    • AWS
    • ADOBE
    • PEARSON
    • BAIDU
    • OPENAI
    • DUOLINGO
    • CENGAGE GROUP
    • KNEWTON
    • SKILLSOFT
    • UDACITY
    • STRIDE
    • HPE
    • DREAMBOX LEARNING
    • QUIZLET
    • GRAMMARLY
    • VIMEO
  • Start-Ups/小型企业
    • 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

第十三章 邻近及相关市场

第十四章附录

Product Code: TC 6243

The AI in education market is projected to grow from USD 2.21 billion in 2024 to USD 5.82 billion by 2030, at a compound annual growth rate (CAGR) of 17.5% during the forecast period. The growing reliance on data-driven insights to improve academic outcomes and the rising demand for personalized learning experiences. The emergence of virtual tutors is empowering self-paced learning, while the integration of AR and VR with AI is revolutionizing education by delivering immersive, interactive experiences. Together, these advancements are reshaping traditional learning methods, paving the way for more adaptive and engaging educational environment.

Scope of the Report
Years Considered for the Study2019-2030
Base Year2023
Forecast Period2024-2030
Units ConsideredUSD (Billion)
SegmentsOffering, Technology, Application, End user, and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, Latin America

"By institutional application, student enrollment and retention analysis segment will lead the market during the forecast period."

The increasing emphasis on personalized learning experiences and the need for educational institutions to improve student retention rates are driving this growth. AI technologies can analyze vast amounts of student data to identify trends and predict enrollment patterns, making it easier for institutions to tailor their strategies effectively. AI tools not only enhance student engagement but also help institutions optimize their resources, ultimately leading to improved educational outcomes.

"By region, Asia Pacific to register the highest CAGR market during the forecast period." The Asia Pacific region is poised to exhibit the highest CAGR in the AI in education market, driven by several key factors that highlight its rapid expansion and adoption of advanced educational technologies. Generative AI tools facilitate tailored educational content, allowing students to engage with materials that match their individual learning styles and paces. For instance, AI-driven platforms can adapt lessons in real time based on student performance, fostering greater engagement and understanding. Furthermore, initiatives in these countries emphasize ethical AI use and teacher training, ensuring that educators are well-equipped to harness AI's potential responsibly. Overall, the effective application of generative AI in education across the Asia-Pacific is paving the way for innovative teaching and learning practices.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI in education market.

  • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
  • By Designation: C-Level: 35%, Director Level: 25%, and Others: 40%
  • By Region: North America: 40%, Europe: 25%, Asia Pacific: 20%, Middle East & Africa: 10%, and Latin America: 5%.

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) ; are some of the key players in the AI in education market.

The study includes an in-depth competitive analysis of these key players in the AI in education market, including their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the AI in education market by offering (software type and services), software type (Learning Management Systems (LMS), Chatbots and Virtual Assistants, Adaptive Learning Platforms, Automated Grading and Feedback Systems, Intelligent Tutoring Systems, Content Generation Tools, AI-enhanced Plagiarism Detection, Gamified Learning Platforms, and others), by deployment mode (cloud and on-premises), services (Professional Development Programs, Custom AI Platform Development, Data Analytics Consulting, Admission Services, Instructional services, and others) by technology (generative AI and other AI), by application (academic (Personalized learning and content management, grading and assessment management, Language translation and support, student support and service, Gamification and Engagement, Predictive Analysis, Plagiarism Detection and Academic Integrity) Institutional(Student enrollment and retention analysis, Administrative Process Automation, Alumni engagement and relationship management, Workforce alignment and skills mapping, Resource allocation and financial planning), by End user (academic (students, tutors (teachers & professors), parents & guardians, corporate trainers/ instructors, and Others) institutional (K-12, higher education, Research Firms & NGO, skill development & Corporate Training Centers, Government Education Departments, edtech companies, and others) and by region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI in education market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions and services, key strategies, Contracts, partnerships, and agreements. new product & service launches, mergers and acquisitions, and recent developments associated with the AI in education market. Competitive analysis of upcoming startups in the AI in education market ecosystem is covered in this report.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI in education market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Increasing demand for personalized learning experiences, rising adoption of e-learning platforms and digital education tools, increasing reliance on data-driven insights to enhance academic outcomes, the rising 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, the advent of virtual tutors for self-paced learning, integration of AR and VR with AI for immersive learning experience), and challenges (Protecting sensitive student data from breaches, disparity in access to AI-enabled educational resources, misuse of AI tools for unethical academic practices, accessibility issues for students with disabilities) influencing the growth of the AI in education market.
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in education market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the AI in education market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in education market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players 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) among others in AI in education market.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS & EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 TOP-DOWN APPROACH
    • 2.2.2 BOTTOM-UP APPROACH
  • 2.3 MARKET FORECAST
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 RISK ASSESSMENT
  • 2.6 STUDY LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN AI IN EDUCATION MARKET
  • 4.2 AI IN EDUCATION MARKET: TOP THREE ACADEMIC APPLICATIONS
  • 4.3 NORTH AMERICA: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE AND END USER
  • 4.4 AI IN EDUCATION MARKET, BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increase in demand for personalized learning experiences
      • 5.2.1.2 Rise in adoption of e-learning platforms and digital education tools
      • 5.2.1.3 Increase in reliance on data-driven insights to enhance academic outcomes
      • 5.2.1.4 Rise in prevalence of mobile and smart devices enables ubiquitous learning
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Reluctance among institutions to replace traditional teaching/ learning methods
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Enhanced customization of curriculum to individual student needs
      • 5.2.3.2 Rise in demand for AI-powered assessment systems and real-time feedback
      • 5.2.3.3 Advent of virtual tutors for self-paced learning
      • 5.2.3.4 Integration of AR and VR with AI for immersive learning experience
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Protecting sensitive student data from breaches
      • 5.2.4.2 Disparity in access to AI-enabled educational resources
      • 5.2.4.3 Accessibility issues for students with disabilities
  • 5.3 INDUSTRY TRENDS
    • 5.3.1 EVOLUTION OF AI IN EDUCATION MARKET
    • 5.3.2 CASE STUDY ANALYSIS
      • 5.3.2.1 Google helped Ministry of Education of Malaysia to transform digital learning accessibility and efficiency
      • 5.3.2.2 Alibaba Cloud helped GetCourse enhance online education with scalable and cost-effective solutions
      • 5.3.2.3 IVMF overcame learning management challenges with Skillsoft's custom learning paths and enhanced user experience
      • 5.3.2.4 Stride Learning enhanced Reading Comprehension with stable diffusion on Amazon Bedrock
      • 5.3.2.5 Century Tech and Epsom & Ewell High School transformed learning with AI integration and enhanced engagement
    • 5.3.3 ECOSYSTEM ANALYSIS
      • 5.3.3.1 Learning management system providers
      • 5.3.3.2 Adaptive learning platform providers
      • 5.3.3.3 Chatbots & virtual assistant providers
      • 5.3.3.4 Automated grading & feedback system providers
      • 5.3.3.5 Content generation tools providers
      • 5.3.3.6 AI in education market end users
    • 5.3.4 TECHNOLOGY ANALYSIS
      • 5.3.4.1 Key technologies
        • 5.3.4.1.1 NLP and deep learning
        • 5.3.4.1.2 Computer vision
        • 5.3.4.1.3 Predictive analytics
        • 5.3.4.1.4 Robotic process automation (RPA)
        • 5.3.4.1.5 Reinforcement learning
      • 5.3.4.2 Adjacent technologies
        • 5.3.4.2.1 Cybersecurity
        • 5.3.4.2.2 IoT
        • 5.3.4.2.3 AR/VR
      • 5.3.4.3 Complementary technologies
        • 5.3.4.3.1 Cloud computing
        • 5.3.4.3.2 Edge computing
        • 5.3.4.3.3 Quantum computing
        • 5.3.4.3.4 Big data analytics
        • 5.3.4.3.5 Blockchain
    • 5.3.5 REGULATORY LANDSCAPE
      • 5.3.5.1 Regulatory bodies, government agencies, and other organizations
      • 5.3.5.2 Regulatory framework
        • 5.3.5.2.1 North America
          • 5.3.5.2.1.1 US
          • 5.3.5.2.1.2 Canada
        • 5.3.5.2.2 Europe
          • 5.3.5.2.2.1 Germany
          • 5.3.5.2.2.2 UK
        • 5.3.5.2.3 Asia Pacific
          • 5.3.5.2.3.1 China
          • 5.3.5.2.3.2 Australia
          • 5.3.5.2.3.3 Japan
          • 5.3.5.2.3.4 Singapore
        • 5.3.5.2.4 Middle East & Africa
          • 5.3.5.2.4.1 Saudi Arabia
          • 5.3.5.2.4.2 UAE
          • 5.3.5.2.4.3 Egypt
        • 5.3.5.2.5 Latin America
          • 5.3.5.2.5.1 Brazil
          • 5.3.5.2.5.2 Mexico
          • 5.3.5.2.5.3 Argentina
    • 5.3.6 SUPPLY CHAIN ANALYSIS
    • 5.3.7 PORTER'S FIVE FORCES ANALYSIS
      • 5.3.7.1 Threat of new entrants
      • 5.3.7.2 Threat of substitutes
      • 5.3.7.3 Bargaining power of suppliers
      • 5.3.7.4 Bargaining power of buyers
      • 5.3.7.5 Intensity of competitive rivalry
    • 5.3.8 KEY CONFERENCES AND EVENTS
    • 5.3.9 KEY STAKEHOLDERS AND BUYING CRITERIA
      • 5.3.9.1 Key stakeholders in buying process
      • 5.3.9.2 Buying criteria
    • 5.3.10 PRICING ANALYSIS
      • 5.3.10.1 Indicative pricing analysis, by software type
      • 5.3.10.2 Indicative pricing analysis, by application
    • 5.3.11 PATENT ANALYSIS
      • 5.3.11.1 Methodology
      • 5.3.11.2 Patents filed, by document type
      • 5.3.11.3 Innovations and patent applications
    • 5.3.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
    • 5.3.13 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
    • 5.3.14 IMPACT OF GENERATIVE AI ON EDUCATION MARKET
      • 5.3.14.1 Top use cases & market potential
      • 5.3.14.2 Key use cases
        • 5.3.14.2.1 Personalized learning experiences
        • 5.3.14.2.2 Content creation automation
        • 5.3.14.2.3 Enhanced feedback mechanisms
        • 5.3.14.2.4 Immersive learning environments
        • 5.3.14.2.5 Administrative efficiency
        • 5.3.14.2.6 Support for diverse learning needs

6 AI IN EDUCATION MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 OFFERING: AI IN EDUCATION MARKET DRIVERS
  • 6.2 SOFTWARE
    • 6.2.1 BY TYPE
      • 6.2.1.1 Learning management systems (LMS)
        • 6.2.1.1.1 AI algorithms to create adaptive learning paths based on learner's performance, preferences, and engagement levels
      • 6.2.1.2 Chatbots & virtual assistants
        • 6.2.1.2.1 Offering study aid and providing safe space for students and helping educators with plans
      • 6.2.1.3 Adaptive learning platforms
        • 6.2.1.3.1 Tailored learning experiences with continuous assessment of learners' progress
      • 6.2.1.4 Automated grading & feedback systems
        • 6.2.1.4.1 Enhancing efficiency and accuracy of evaluation devoid of biases
      • 6.2.1.5 Intelligent tutoring systems
        • 6.2.1.5.1 Advancing personalized learning focused on integrating multimedia resources and interactive simulations
      • 6.2.1.6 Content generation tools
        • 6.2.1.6.1 Empowering educators with AI-driven content creation for personalized learning
      • 6.2.1.7 AI-enhanced plagiarism detection
        • 6.2.1.7.1 Fostering academic integrity with pattern recognition
      • 6.2.1.8 Gamified learning platforms
        • 6.2.1.8.1 Transforming education with immersive, story-driven platforms
      • 6.2.1.9 Other software types
    • 6.2.2 BY DEPLOYMENT MODE
      • 6.2.2.1 Cloud
        • 6.2.2.1.1 Scaling education with cloud-powered AI: Personalized learning and seamless integration
      • 6.2.2.2 On-premises
        • 6.2.2.2.1 Empowering education on-premises: Secure, customizable, and controlled AI solutions
  • 6.3 SERVICES
    • 6.3.1 PROFESSIONAL DEVELOPMENT PROGRAMS
      • 6.3.1.1 Essential to maintain educator competence and building community
    • 6.3.2 CUSTOM AI DEVELOPMENT PLATFORM
      • 6.3.2.1 Technology adaptability: Crucial in diverse learning landscape
    • 6.3.3 DATA ANALYTICS CONSULTING
      • 6.3.3.1 Optimizing course offerings and improving user experience with tailored content
    • 6.3.4 ADMISSION SERVICES
      • 6.3.4.1 Transforming admissions with AI: Streamlining processes and boosting recruitment
    • 6.3.5 INSTRUCTIONAL SERVICES
      • 6.3.5.1 Enabling educators to focus more on teaching and less on logistics
    • 6.3.6 OTHER SERVICES

7 AI IN EDUCATION MARKET, BY APPLICATION

  • 7.1 INTRODUCTION
    • 7.1.1 APPLICATION: AI IN EDUCATION MARKET DRIVERS
  • 7.2 ACADEMIC
    • 7.2.1 PERSONALIZED LEARNING & CONTENT MANAGEMENT
      • 7.2.1.1 Customizable lesson plans
        • 7.2.1.1.1 Personalizing education with AI-driven lesson plans
      • 7.2.1.2 Adaptive quizzes and tests
        • 7.2.1.2.1 Tailoring assessments to enhance learning outcomes
      • 7.2.1.3 Skill level analysis
        • 7.2.1.3.1 Grouping students based on skill level for effective learning
      • 7.2.1.4 Other personalized learning & content management applications
    • 7.2.2 GRADING & ASSESSMENT MANAGEMENT
      • 7.2.2.1 Essay & short-answer evaluation
        • 7.2.2.1.1 Evaluating student understanding and critical thinking through essay & short-answer assessments
      • 7.2.2.2 Multiple-choice grading automation
        • 7.2.2.2.1 Streamlining grading and easing administrative burden on educators
      • 7.2.2.3 Rubric-based assessment customization
        • 7.2.2.3.1 Customizing rubrics for tailored and structured student performance evaluation
      • 7.2.2.4 Other grading & assessment management applications
    • 7.2.3 LANGUAGE TRANSLATION & SUPPORT
      • 7.2.3.1 Grammar & vocabulary enhancement
        • 7.2.3.1.1 Improving linguistic quality in AI-driven language translation tools
      • 7.2.3.2 Pronunciation assistance
        • 7.2.3.2.1 Using real-time feedback for more effective results
      • 7.2.3.3 Language translation management
        • 7.2.3.3.1 Streamlined translation with real-time collaboration among translators and project managers
      • 7.2.3.4 Other language translation & support applications
    • 7.2.4 STUDENT SUPPORT & SERVICES
      • 7.2.4.1 Question-answering support
        • 7.2.4.1.1 Proactive approach to improve student engagement
      • 7.2.4.2 Assignment reminders
        • 7.2.4.2.1 Boosting student engagement and accountability with assignment reminders
      • 7.2.4.3 Campus navigation assistance
        • 7.2.4.3.1 Enhancing student experience with interactive maps, GPS-based location services, and chatbots
      • 7.2.4.4 Mental health resources & counseling support
        • 7.2.4.4.1 Bridging gaps: Enhancing mental health support with access to information and reducing stigma
      • 7.2.4.5 Other student support & services applications
    • 7.2.5 GAMIFICATION & ENGAGEMENT
      • 7.2.5.1 Points & reward system management
        • 7.2.5.1.1 Maximizing engagement through points, badges, certificates, or even tangible rewards
      • 7.2.5.2 Interactive challenges & quizzes
        • 7.2.5.2.1 Enhancing learning with game mechanics such as time limits, levels of difficulty, and instant feedback
      • 7.2.5.3 Gamified progress tracking
        • 7.2.5.3.1 Gamified elements to monitor and visualize student achievements
      • 7.2.5.4 Other gamification & engagement applications
    • 7.2.6 PREDICTIVE ANALYSIS
      • 7.2.6.1 Early-warning system management
        • 7.2.6.1.1 Preventing dropouts and fostering success with effective early-warning systems
      • 7.2.6.2 Trend analysis
        • 7.2.6.2.1 Leveraging trend analysis and predictive analytics to improve learning outcomes
      • 7.2.6.3 Predictive grading outcomes
        • 7.2.6.3.1 Optimizing resource allocation with timely interventions using predictive models
      • 7.2.6.4 Other predictive analysis applications
    • 7.2.7 PLAGIARISM DETECTION & ACADEMIC INTEGRITY
      • 7.2.7.1 Paraphrasing & source-checking
        • 7.2.7.1.1 Promoting responsible research practices and originality
      • 7.2.7.2 Academic integrity tracking
        • 7.2.7.2.1 Promoting ethical standards and transparency in academics
      • 7.2.7.3 Other plagiarism detection & academic integrity applications
  • 7.3 INSTITUTIONAL
    • 7.3.1 STUDENT ENROLLMENT & RETENTION ANALYSIS
      • 7.3.1.1 At-risk student identification
        • 7.3.1.1.1 Improving student outcomes with proactive AI interventions for retention
      • 7.3.1.2 Retention strategy optimization
        • 7.3.1.2.1 Analyzing student data to develop effective strategies to combat attrition and offer support
      • 7.3.1.3 Personalized communication
        • 7.3.1.3.1 Analyzing data such as academic performance and personal preferences to boost learning outcomes through notifications and messages
      • 7.3.1.4 Student engagement
        • 7.3.1.4.1 Improving academic performance and cultivating dynamic and inclusive learning environment
      • 7.3.1.5 Other student enrollment & retention analysis applications
    • 7.3.2 ADMINISTRATIVE PROCESS AUTOMATION
      • 7.3.2.1 Automated admission processing
        • 7.3.2.1.1 Streamlining admissions for faster, efficient workflows
      • 7.3.2.2 Scheduling optimization
        • 7.3.2.2.1 Efficient resource allocation and class management
      • 7.3.2.3 Document verification automation
        • 7.3.2.3.1 Need for accurate, error-free admissions
      • 7.3.2.4 Other administrative process automation applications
    • 7.3.3 ALUMNI ENGAGEMENT & RETENTION ANALYSIS
      • 7.3.3.1 Alumni tracking
        • 7.3.3.1.1 Building community using alum databases
      • 7.3.3.2 Engagement metrics
        • 7.3.3.2.1 Optimizing outreach by analyzing alum engagement patterns
      • 7.3.3.3 Event recommendations
        • 7.3.3.3.1 Increasing event participation with personalized event suggestions
      • 7.3.3.4 Other alumni engagement & retention analysis applications
    • 7.3.4 WORKFORCE ALIGNMENT & SKILLS MAPPING
      • 7.3.4.1 Career services
        • 7.3.4.1.1 Leveraging machine learning algorithms to evaluate future career success
      • 7.3.4.2 Internship matchmaking
        • 7.3.4.2.1 Enhancing job market competitiveness that would help students and companies
      • 7.3.4.3 Skill-gap analysis
        • 7.3.4.3.1 Curriculum development and training programs tailored to address specific deficiencies
      • 7.3.4.4 Labor market demand analysis
        • 7.3.4.4.1 Aligning education with market trends to facilitate internships and job placements
      • 7.3.4.5 Other workforce alignment & skills mapping applications
    • 7.3.5 RESOURCE ALLOCATION & FINANCIAL PLANNING
      • 7.3.5.1 Predicting demand analysis
        • 7.3.5.1.1 Utilizing data-driven methodologies to anticipate technological needs
      • 7.3.5.2 Budget forecasting
        • 7.3.5.2.1 Identifying funding gaps and prioritizing strategic investments
      • 7.3.5.3 Financial aid allocation optimization
        • 7.3.5.3.1 Optimizing financial aid allocation to support diverse student populations and improve educational outcomes
      • 7.3.5.4 Other resource allocation & financial planning applications

8 AI IN EDUCATION MARKET, BY TECHNOLOGY

  • 8.1 INTRODUCTION
    • 8.1.1 GENERATIVE AI
    • 8.1.2 OTHER AI

9 AI IN EDUCATION MARKET, BY END USER

  • 9.1 INTRODUCTION
    • 9.1.1 END USER: AI IN EDUCATION MARKET DRIVERS
  • 9.2 BY TYPE
    • 9.2.1 ACADEMIC
      • 9.2.1.1 Students
        • 9.2.1.1.1 Comprehensive, personalized means to identify individual strengths and weaknesses
      • 9.2.1.2 Tutors
        • 9.2.1.2.1 Offering educational, instructional, and administrative assistance
      • 9.2.1.3 Parents & guardians
        • 9.2.1.3.1 Leveraging AI for real-time insights and personalized support in education
      • 9.2.1.4 Corporate trainers/instructors
        • 9.2.1.4.1 Streamlining training operations and boosting employee productivity and training outcomes
      • 9.2.1.5 Other academic end users
    • 9.2.2 INSTITUTIONAL
      • 9.2.2.1 K-12
        • 9.2.2.1.1 Integrating AI in K-12 education to foster AI literacy among students
      • 9.2.2.2 Higher education
        • 9.2.2.2.1 Adopting AI in higher education to boost operational efficiency and student success
      • 9.2.2.3 Research firms & NGO
        • 9.2.2.3.1 Advocating for responsible AI Use in education to ensure ethical and inclusive learning environments
      • 9.2.2.4 Skill development & corporate training centers
        • 9.2.2.4.1 Leveraging AI in to enhance workforce readiness
      • 9.2.2.5 Government education departments
        • 9.2.2.5.1 Adopting AI to improve learning outcomes and efficiency across varying educational standards
      • 9.2.2.6 EdTech companies
        • 9.2.2.6.1 Making learning more efficient and accessible for diverse populations
      • 9.2.2.7 Other institutional end users

10 AI IN EDUCATION MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: AI IN EDUCATION MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
    • 10.2.3 US
      • 10.2.3.1 Revolutionizing US education with AI innovations and responsible frameworks
    • 10.2.4 CANADA
      • 10.2.4.1 Pioneering inclusive AI education pathways with AIPP Initiative
  • 10.3 EUROPE
    • 10.3.1 EUROPE: AI IN EDUCATION MARKET DRIVERS
    • 10.3.2 EUROPE: MACROECONOMIC OUTLOOK
    • 10.3.3 UK
      • 10.3.3.1 Government investment and collaborations with schools and universities
    • 10.3.4 GERMANY
      • 10.3.4.1 Industry-academia collaboration with strategies such as National AI Strategy
    • 10.3.5 FRANCE
      • 10.3.5.1 Regulatory efforts and funding for research and establishment of Interdisciplinary Institutes of Artificial Intelligence
    • 10.3.6 ITALY
      • 10.3.6.1 AI pilot program in schools across four regions
    • 10.3.7 SPAIN
      • 10.3.7.1 Notable firms focusing on democratizing access to knowledge through AI-driven digital content platforms
    • 10.3.8 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: AI IN EDUCATION MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
    • 10.4.3 CHINA
      • 10.4.3.1 Leading AI education transformation through public-private collaboration
    • 10.4.4 JAPAN
      • 10.4.4.1 Advancing AI literacy with Nationwide Educational Strategy and Teacher Training
    • 10.4.5 INDIA
      • 10.4.5.1 Accelerating AI education and innovation through government initiatives and industry collaborations
    • 10.4.6 SOUTH KOREA
      • 10.4.6.1 Strategies such as Digital Infrastructure Improvement Plan for integrating AI into public education
    • 10.4.7 AUSTRALIA & NEW ZEALAND
      • 10.4.7.1 Government focus on curriculum and building frameworks for AI in schools
    • 10.4.8 ASEAN COUNTRIES
      • 10.4.8.1 Promoting secure digital services and technology ecosystems with ASEAN Digital Masterplan 2025
    • 10.4.9 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    • 10.5.3 MIDDLE EAST
      • 10.5.3.1 KSA
        • 10.5.3.1.1 Saudi Arabia to lead with advanced research and personalized learning systems
      • 10.5.3.2 UAE
        • 10.5.3.2.1 Advancing AI with University Curricula and Nationwide Teacher Training Initiatives
      • 10.5.3.3 Bahrain
        • 10.5.3.3.1 Enhancing education with AI-powered personalized learning at the British School of Bahrain
      • 10.5.3.4 Kuwait
        • 10.5.3.4.1 Kuwait University integrating AI to enhance education and ensure exam integrity
      • 10.5.3.5 Rest of the Middle East
    • 10.5.4 AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: AI IN EDUCATION MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
    • 10.6.3 BRAZIL
      • 10.6.3.1 Innovative EdTech solutions and strategic investments
    • 10.6.4 MEXICO
      • 10.6.4.1 Modernizing education with AI-driven content creation and enhanced student engagement
    • 10.6.5 ARGENTINA
      • 10.6.5.1 Platforms for personalized learning and teaching support and projects such as ColabIA
    • 10.6.6 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 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
    • 11.4.1 MARKET SHARE ANALYSIS OF KEY PLAYERS
    • 11.4.2 MARKET RANKING ANALYSIS
  • 11.5 PRODUCT COMPARATIVE ANALYSIS
    • 11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY LEARNING MANAGEMENT SYSTEM (LMS)
      • 11.5.1.1 Canvas LMS (Canvas)
      • 11.5.1.2 AI-powered LMS (360Learning)
    • 11.5.2 PRODUCT COMPARATIVE ANALYSIS OF INTELLIGENT TUTORING SYSTEMS
      • 11.5.2.1 Carnegie Learning
      • 11.5.2.2 Knewton Alta
      • 11.5.2.3 Smart Sparrow
    • 11.5.3 PRODUCT COMPARATIVE ANALYSIS OF CHATBOTS & PERSONAL ASSISTANTS
      • 11.5.3.1 IBM Watson Tutor (IBM)
      • 11.5.3.2 AdmitHub (Mainstay)
  • 11.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 11.7.1 COMPANY EVALUATION MATRIX: KEY PLAYERS (ACADEMIC), 2023
    • 11.7.2 STARS
    • 11.7.3 EMERGING LEADERS
    • 11.7.4 PERVASIVE PLAYERS
    • 11.7.5 PARTICIPANTS
    • 11.7.6 COMPANY EVALUATION MATRIX: KEY PLAYERS (INSTITUTIONAL), 2023
    • 11.7.7 STARS
    • 11.7.8 EMERGING LEADERS
    • 11.7.9 PERVASIVE PLAYERS
    • 11.7.10 PARTICIPANTS
    • 11.7.11 COMPANY FOOTPRINT: KEY PLAYERS
      • 11.7.11.1 Company footprint
      • 11.7.11.2 Software type footprint
      • 11.7.11.3 Application footprint
      • 11.7.11.4 End user footprint
      • 11.7.11.5 Region footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 11.8.1 COMPANY EVALUATION MATRIX: STARTUPS/SMES (ACADEMIC), 2023
    • 11.8.2 PROGRESSIVE COMPANIES
    • 11.8.3 RESPONSIVE COMPANIES
    • 11.8.4 DYNAMIC COMPANIES
    • 11.8.5 STARTING BLOCKS
    • 11.8.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES (INSTITUTIONAL), 2023
    • 11.8.7 PROGRESSIVE COMPANIES
    • 11.8.8 RESPONSIVE COMPANIES
    • 11.8.9 DYNAMIC COMPANIES
    • 11.8.10 STARTING BLOCKS
    • 11.8.11 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
      • 11.8.11.1 Detailed list of key startups/SMEs
      • 11.8.11.2 Competitive benchmarking of key startups/SMEs
  • 11.9 COMPETITIVE SCENARIO
    • 11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
    • 11.9.2 DEALS

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS
    • 12.2.1 MICROSOFT
      • 12.2.1.1 Business overview
      • 12.2.1.2 Products/Solutions/Services offered
      • 12.2.1.3 Recent developments
        • 12.2.1.3.1 Product launches and enhancements
        • 12.2.1.3.2 Deals
      • 12.2.1.4 MnM view
        • 12.2.1.4.1 Key strengths
        • 12.2.1.4.2 Strategic choices
        • 12.2.1.4.3 Weaknesses and competitive threats
    • 12.2.2 IBM
      • 12.2.2.1 Business overview
      • 12.2.2.2 Products/Solutions/Services offered
      • 12.2.2.3 Recent developments
        • 12.2.2.3.1 Product launches and enhancements
        • 12.2.2.3.2 Deals
      • 12.2.2.4 MnM view
        • 12.2.2.4.1 Key strengths
        • 12.2.2.4.2 Strategic choices
        • 12.2.2.4.3 Weaknesses and competitive threats
    • 12.2.3 GOOGLE
      • 12.2.3.1 Business overview
      • 12.2.3.2 Products/Solutions/Services offered
      • 12.2.3.3 Recent developments
        • 12.2.3.3.1 Product launches and enhancements
        • 12.2.3.3.2 Deals
      • 12.2.3.4 MnM view
        • 12.2.3.4.1 Key strengths
        • 12.2.3.4.2 Strategic choices
        • 12.2.3.4.3 Weaknesses and competitive threats
    • 12.2.4 ALIBABA CLOUD
      • 12.2.4.1 Business overview
      • 12.2.4.2 Products/Solutions/Services offered
      • 12.2.4.3 Recent developments
        • 12.2.4.3.1 Product launches and enhancements
        • 12.2.4.3.2 Deals
      • 12.2.4.4 MnM view
        • 12.2.4.4.1 Key strengths
        • 12.2.4.4.2 Strategic choices
        • 12.2.4.4.3 Weaknesses and competitive threats
    • 12.2.5 AWS
      • 12.2.5.1 Business overview
      • 12.2.5.2 Products/Solutions/Services offered
      • 12.2.5.3 Recent developments
        • 12.2.5.3.1 Product launches and enhancements
      • 12.2.5.4 MnM view
        • 12.2.5.4.1 Key strengths
        • 12.2.5.4.2 Strategic choices
        • 12.2.5.4.3 Weaknesses and competitive threats
    • 12.2.6 ADOBE
      • 12.2.6.1 Business overview
      • 12.2.6.2 Products/Solutions/Services offered
      • 12.2.6.3 Recent developments
        • 12.2.6.3.1 Deals
    • 12.2.7 PEARSON
      • 12.2.7.1 Business overview
      • 12.2.7.2 Products/Solutions/Services offered
      • 12.2.7.3 Recent developments
        • 12.2.7.3.1 Product launches and enhancements
        • 12.2.7.3.2 Deals
    • 12.2.8 BAIDU
      • 12.2.8.1 Business overview
      • 12.2.8.2 Products/Solutions/Services offered
      • 12.2.8.3 Recent developments
        • 12.2.8.3.1 Product launches and enhancements
    • 12.2.9 OPENAI
      • 12.2.9.1 Business overview
      • 12.2.9.2 Products/Solutions/Services offered
      • 12.2.9.3 Recent developments
        • 12.2.9.3.1 Product launches and enhancements
        • 12.2.9.3.2 Deals
    • 12.2.10 DUOLINGO
      • 12.2.10.1 Business overview
      • 12.2.10.2 Products/Solutions/Services offered
      • 12.2.10.3 Recent developments
        • 12.2.10.3.1 Product launches and enhancements
        • 12.2.10.3.2 Deals
    • 12.2.11 CENGAGE GROUP
    • 12.2.12 KNEWTON
    • 12.2.13 SKILLSOFT
    • 12.2.14 UDACITY
    • 12.2.15 STRIDE
    • 12.2.16 HPE
    • 12.2.17 DREAMBOX LEARNING
    • 12.2.18 QUIZLET
    • 12.2.19 GRAMMARLY
    • 12.2.20 VIMEO
  • 12.3 STARTUPS/SMES
    • 12.3.1 RIIID
    • 12.3.2 COGNII
    • 12.3.3 ELSA SPEAK
    • 12.3.4 MEMRISE
    • 12.3.5 ALEF EDUCATION
    • 12.3.6 QUERIUM
    • 12.3.7 AMIRA LEARNING
    • 12.3.8 KNOWRE
    • 12.3.9 CENTURY TECH
    • 12.3.10 THINKSTER MATH
    • 12.3.11 QUIZIZZ
    • 12.3.12 KHAN ACADEMY
    • 12.3.13 SANA LABS
    • 12.3.14 TEACHMINT X
    • 12.3.15 360LEARNING
    • 12.3.16 MAINSTAY
    • 12.3.17 BLIPPAR
    • 12.3.18 BLUE CANOE LEARNING
    • 12.3.19 QUIZLET
    • 12.3.20 OTTER.AI
    • 12.3.21 QUILLBOT
    • 12.3.22 NOLEJ
    • 12.3.23 SPEECHIFY

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 ARTIFICIAL INTELLIGENCE (AI) MARKET
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
      • 13.2.2.1 Artificial intelligence market, by offering
      • 13.2.2.2 Artificial intelligence market, by business function
      • 13.2.2.3 Artificial intelligence market, by technology
      • 13.2.2.4 Artificial intelligence market, by vertical
      • 13.2.2.5 Artificial intelligence market, by region
  • 13.3 LEARNING MANAGEMENT SYSTEM MARKET
    • 13.3.1 MARKET DEFINITION
    • 13.3.2 MARKET OVERVIEW
      • 13.3.2.1 LMS market, by offering
      • 13.3.2.2 LMS market, by delivery mode
      • 13.3.2.3 LMS market, by organization size
      • 13.3.2.4 LMS market, by deployment type
      • 13.3.2.5 LMS market, by application
      • 13.3.2.6 LMS market, by user type
      • 13.3.2.7 LMS market, by region

14 APPENDIX

  • 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 AI IN EDUCATION MARKET SIZE AND GROWTH RATE, 2024-2030 (USD MILLION, Y-O-Y)
  • TABLE 7 AI IN EDUCATION 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 AI IN EDUCATION MARKET: IMPACT OF PORTER'S FIVE FORCES
  • TABLE 14 AI IN EDUCATION 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 AI IN EDUCATION MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 22 AI IN EDUCATION MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 23 AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2019-2023 (USD MILLION)
  • TABLE 24 AI IN EDUCATION 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 AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 47 CLOUD-BASED AI IN EDUCATION MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 48 CLOUD-BASED AI IN EDUCATION MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 49 ON-PREMISE AI IN EDUCATION MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 50 ON-PREMISE AI IN EDUCATION MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 51 AI IN EDUCATION MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 52 AI IN EDUCATION 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 AI IN EDUCATION 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 AI IN EDUCATION 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 AI IN EDUCATION MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 95 GENERATIVE AI IN EDUCATION MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 96 GENERATIVE AI IN EDUCATION 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 AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 100 AI IN EDUCATION 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 AI IN EDUCATION 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 AI IN EDUCATION MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 123 NORTH AMERICA: AI IN EDUCATION MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 124 NORTH AMERICA: AI IN EDUCATION MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 125 NORTH AMERICA: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2019-2023 (USD MILLION)
  • TABLE 126 NORTH AMERICA: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2024-2030 (USD MILLION)
  • TABLE 127 NORTH AMERICA: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 128 NORTH AMERICA: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 129 NORTH AMERICA: AI IN EDUCATION MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 130 NORTH AMERICA: AI IN EDUCATION MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 131 NORTH AMERICA: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 132 NORTH AMERICA: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 135 NORTH AMERICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 136 NORTH AMERICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 137 NORTH AMERICA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 138 NORTH AMERICA: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 139 NORTH AMERICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2019-2023 (USD MILLION)
  • TABLE 140 NORTH AMERICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2024-2030 (USD MILLION)
  • TABLE 141 NORTH AMERICA: AI IN EDUCATION MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 142 NORTH AMERICA: AI IN EDUCATION MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 143 US: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 144 US: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 147 EUROPE: AI IN EDUCATION MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 148 EUROPE: AI IN EDUCATION MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 149 EUROPE: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2019-2023 (USD MILLION)
  • TABLE 150 EUROPE: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2024-2030 (USD MILLION)
  • TABLE 151 EUROPE: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 152 EUROPE: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 153 EUROPE: AI IN EDUCATION MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 154 EUROPE: AI IN EDUCATION MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 155 EUROPE: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 156 EUROPE: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 157 EUROPE: AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 158 EUROPE: AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 159 EUROPE: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 160 EUROPE: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 161 EUROPE: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 162 EUROPE: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 163 EUROPE: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2019-2023 (USD MILLION)
  • TABLE 164 EUROPE: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2024-2030 (USD MILLION)
  • TABLE 165 EUROPE: AI IN EDUCATION MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 166 EUROPE: AI IN EDUCATION MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 167 UK: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 168 UK: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 169 GERMANY: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 170 GERMANY: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 171 FRANCE: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 172 FRANCE: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 173 ITALY: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 174 ITALY: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 175 SPAIN: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 176 SPAIN: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 177 REST OF EUROPE: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 178 REST OF EUROPE: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2019-2023 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2024-2030 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: AI IN EDUCATION MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: AI IN EDUCATION MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 189 ASIA PACIFIC: AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 190 ASIA PACIFIC: AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 191 ASIA PACIFIC: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 194 ASIA PACIFIC: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 195 ASIA PACIFIC: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2019-2023 (USD MILLION)
  • TABLE 196 ASIA PACIFIC: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2024-2030 (USD MILLION)
  • TABLE 197 ASIA PACIFIC: AI IN EDUCATION MARKET, BY COUNTRY/REGION, 2019-2023 (USD MILLION)
  • TABLE 198 ASIA PACIFIC: AI IN EDUCATION MARKET, BY COUNTRY/REGION, 2024-2030 (USD MILLION)
  • TABLE 199 CHINA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 200 CHINA: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 201 JAPAN: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 202 JAPAN: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 205 SOUTH KOREA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 206 SOUTH KOREA: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 207 AUSTRALIA & NEW ZEALAND: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 208 AUSTRALIA & NEW ZEALAND: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 209 ASEAN: AI IN EDUCATION MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 210 ASEAN: AI IN EDUCATION MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 211 ASEAN: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 212 ASEAN: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 213 REST OF ASIA PACIFIC: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 214 REST OF ASIA PACIFIC: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 217 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2019-2023 (USD MILLION)
  • TABLE 218 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2024-2030 (USD MILLION)
  • TABLE 219 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 220 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 221 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 222 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 223 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 224 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 225 MIDDLE EAST & AFRICA: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 228 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 229 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 230 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 231 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2019-2023 (USD MILLION)
  • TABLE 232 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2024-2030 (USD MILLION)
  • TABLE 233 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 234 MIDDLE EAST & AFRICA: AI IN EDUCATION MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 235 MIDDLE EAST: AI IN EDUCATION MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 236 MIDDLE EAST: AI IN EDUCATION MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 237 KSA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 238 KSA: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 239 UAE: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 240 UAE: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 241 BAHRAIN: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 242 BAHRAIN: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 243 KUWAIT: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 244 KUWAIT: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 245 REST OF MIDDLE EAST: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 246 REST OF MIDDLE EAST: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 247 AFRICA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 248 AFRICA: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 251 LATIN AMERICA: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2019-2023 (USD MILLION)
  • TABLE 252 LATIN AMERICA: AI IN EDUCATION MARKET, BY SOFTWARE TYPE, 2024-2030 (USD MILLION)
  • TABLE 253 LATIN AMERICA: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 254 LATIN AMERICA: AI IN EDUCATION MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 255 LATIN AMERICA: AI IN EDUCATION MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 256 LATIN AMERICA: AI IN EDUCATION MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 257 LATIN AMERICA: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 258 LATIN AMERICA: AI IN EDUCATION MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 259 LATIN AMERICA: AI IN EDUCATION MARKET, BY ACADEMIC APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 260 LATIN AMERICA: AI IN EDUCATION 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: AI IN EDUCATION MARKET, BY INSTITUTIONAL APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 263 LATIN AMERICA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 264 LATIN AMERICA: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 265 LATIN AMERICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2019-2023 (USD MILLION)
  • TABLE 266 LATIN AMERICA: AI IN EDUCATION MARKET, BY INSTITUTIONAL END USER, 2024-2030 (USD MILLION)
  • TABLE 267 LATIN AMERICA: AI IN EDUCATION MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 268 LATIN AMERICA: AI IN EDUCATION MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 269 BRAZIL: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 270 BRAZIL: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 271 MEXICO: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 272 MEXICO: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 273 ARGENTINA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 274 ARGENTINA: AI IN EDUCATION MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 275 REST OF LATIN AMERICA: AI IN EDUCATION MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 276 REST OF LATIN AMERICA: AI IN EDUCATION 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 AI IN EDUCATION MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 279 AI IN EDUCATION MARKET: SOFTWARE TYPE FOOTPRINT, 2023
  • TABLE 280 AI IN EDUCATION MARKET: APPLICATION FOOTPRINT (ACADEMIC), 2023
  • TABLE 281 AI IN EDUCATION MARKET: APPLICATION FOOTPRINT (INSTITUTIONAL), 2023
  • TABLE 282 AI IN EDUCATION MARKET: END USER FOOTPRINT, 2023
  • TABLE 283 AI IN EDUCATION MARKET: REGION FOOTPRINT, 2023
  • TABLE 284 AI IN EDUCATION MARKET: DETAILED LIST OF KEY STARTUPS/SMES, 2023
  • TABLE 285 AI IN EDUCATION MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES, 2023
  • TABLE 286 AI IN EDUCATION MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES, BY APPLICATION, 2023
  • TABLE 287 AI IN EDUCATION 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 AI IN EDUCATION MARKET: RESEARCH DESIGN
  • FIGURE 4 BREAKUP OF PRIMARY PROFILES, BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 5 KEY INSIGHTS FROM INDUSTRY EXPERTS
  • FIGURE 6 AI IN EDUCATION MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 7 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICES OF AI IN EDUCATION MARKET
  • FIGURE 8 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF AI IN EDUCATION MARKET
  • FIGURE 9 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF AI IN EDUCATION 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 AI IN EDUCATION MARKET IN 2024
  • FIGURE 16 PERSONALIZED LEARNING & CONTENT MANAGEMENT TO LEAD AI IN EDUCATION 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 AI IN EDUCATION 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 AI IN EDUCATION MARKET
  • FIGURE 27 AI IN EDUCATION MARKET ECOSYSTEM: KEY PLAYERS
  • FIGURE 28 AI IN EDUCATION 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 AI IN EDUCATION MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
  • FIGURE 37 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 AI IN EDUCATION 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 AI IN EDUCATION MARKET: COMPANY EVALUATION MATRIX OF KEY PLAYERS (ACADEMIC), 2023
  • FIGURE 57 AI IN EDUCATION MARKET: COMPANY EVALUATION MATRIX OF KEY PLAYERS (INSTITUTIONAL), 2023
  • FIGURE 58 AI IN EDUCATION MARKET: COMPANY FOOTPRINT (ACADEMIC), 2023
  • FIGURE 59 AI IN EDUCATION MARKET: COMPANY FOOTPRINT (INSTITUTIONAL), 2023
  • FIGURE 60 AI IN EDUCATION 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