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市場調查報告書

商品編碼

2021755

2034年教育領域人工智慧市場預測：按組件、技術、部署模式、應用、最終用戶和地區分類的全球分析

AI in Education Market Forecasts to 2034 - Global Analysis By Component (Solutions and Services), Technology, Deployment Mode, Application, End User and By Geography

出版日期: 2026年04月17日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球教育領域的 AI 市場規模將達到 45 億美元，並在預測期內以 25.5% 的複合年成長率成長，到 2034 年將達到 280 億美元。

在教育領域，人工智慧利用機器學習和智慧演算法來最佳化學習和教學。這使得每個學生都能獲得個人化的學習體驗，簡化了行政工作，促進了自適應教學，並從教育資料中提取有價值的資訊。透過識別模式和預測學習進度，人工智慧幫助教育者量身定做課程，提高學生的學習動力，並改善學習成果。這些科技的融合促進了各種教育環境中更有效率、更便利、更有效的教育。

個人化學習和市場成長

傳統的、千篇一律的教學模式往往無法滿足學生的個人需求，導致學習動機下降和學業差距擴大。人工智慧驅動的自適應學習平台能夠即時分析學生的學習表現、學習風格和學習進度，提供客製化的學習內容、練習題和補習路徑。這種個別化教學能夠提高知識保留率和學業成績。此外，教師還可以利用實用的儀錶板來識別學習困難的學生，以便及時介入。隨著全球教育體係向以學生為中心的模式轉型，人工智慧驅動的個人化工具的應用正在加速，推動市場成長並變革課堂教學。

實施過程中的挑戰以及對資料安全的擔憂

實施人工智慧解決方案需要對雲端基礎設施、軟體授權和教師培訓進行大量投資，這對開發中地區資金不足的學校和教育機構構成重大挑戰。此外，人工智慧系統會收集大量敏感的學生數據，包括學業成績、行為模式和生物識別資訊。諸如《小規模的教育機構可能缺乏足夠的網路安全資源，這可能會限制其市場擴張，因為它們會因此而對採用人工智慧猶豫不決。

創新應用與成長機遇

生成式人工智慧模式可以創建客製化的課程計畫、測驗、互動模擬，甚至完整的學習材料，從而減輕教師的工作負擔。由自然語言處理（NLP）驅動的虛擬助教提供全天候的學生支持，解答疑問並協助完成作業。此外，人工智慧監考解決方案在線上考試中日益受到關注，確保了學術誠信。隨著混合式和遠距學習模式的日益普及，學校和大學都在尋求高度擴充性的人工智慧工具。那些能夠提供價格合理、安全可靠且方便用戶使用的生成式人工智慧解決方案的早期採用者，將在未來幾年獲得顯著的市場佔有率。

偏見、過度依賴和監管風險

演算法偏見和過度依賴自動化帶來的風險對教育領域的人工智慧構成嚴重威脅。基於存在偏見的歷史資料訓練的人工智慧模型可能會無意中偏袒某些學生群體，從而導致不公平的評分和不均衡的學習建議。例如，自然語言處理演算法可能會誤解非母語人士的語音模式，進而對學生造成不公平的劣勢。此外，在評分和個別輔導中過度依賴人工智慧可能會減少對社交和情感發展至關重要的人際互動。如果沒有持續的審核和糾正，存在偏見或缺陷的人工智慧系統會損害教育的公平性和品質。此類失誤可能導致監管機構的強烈反對、訴訟以及公眾對教育機構信任度的下降。

新冠疫情的感染疾病：

新冠疫情大大加速了人工智慧在教育領域的應用，全球學校紛紛轉向遠距教學。封鎖措施迫使教育機構探索用於線上授課、自動監考和追蹤學生學習進度的數位化工具。人工智慧平台使教師能夠管理大規模虛擬課堂，聊天機器人則處理日常諮詢。然而，由於部分弱勢學生缺乏設備和網路接入，數位落差問題也日益凸顯。學校重新開放後，混合式學習模式依然存在，持續推動對人工智慧分析和個人化學習解決方案的需求。政府加大對教育科技的投入，以及許多教育機構將人工智慧視為必需品而非可選項，正在為市場創造長期發展動力。

在預測期內，解決方案領域預計將佔據最大的市場佔有率。

解決方案領域，尤其是智慧輔導系統 (ITS) 和學習分析儀表板，預計將佔據最大的市場佔有率。這些軟體平台構成了人工智慧主導個人化教學的核心，為教育工作者提供即時自適應學習路徑和預測分析。對可衡量的學生進展追蹤和自動化內容交付的迫切需求推動了這一領域的領先地位。隨著中小學和高等教育機構逐步推動課程數位化，對綜合人工智慧解決方案的投資仍然是一項重要的支出項目，超過了服務業。

在預測期內，生成式人工智慧細分市場預計將呈現最高的複合年成長率。

在預測期內，生成式人工智慧領域預計將呈現最高的成長率。生成式模型能夠創建原創的課程規劃、評估問題和互動式模擬，從而顯著縮短內容開發時間。諸如 ChatGPT for Education 等方便用戶使用型工具的出現，以及對客製化學習材料日益成長的需求，正在加速其應用。此外，生成式人工智慧還支援能夠進行自然對話的虛擬教學助手，這使其對那些尋求擴充性的全天候學生支援而無需額外人員配備的教育機構極具吸引力。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要得益於該地區早期對數位化學習技術的應用、對教育科技的巨額投資，以及IBM、微軟和谷歌等領先的人工智慧供應商的存在。該地區資金雄厚的學區和大學正在積極採用人工智慧技術進行個人化學習和自動評分。此外，政府對STEM教育的支持以及強大的雲端基礎設施也促進了人工智慧技術的廣泛應用。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於中國、印度和東南亞教育科技產業的快速擴張。世界各國政府正在推出大規模的數位化教育項目，例如印度的「DIKSHA」和中國的「智慧教育舉措」。智慧型手機普及率的提高、網路價格的下降以及龐大的學生群體，正在推動對人工智慧驅動的個人化輔導和語言學習解決方案的需求，使亞太地區成為成長最快的市場。

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所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域細分
- 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第11章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第12章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第13章：公司簡介

Coursera
Duolingo
Udemy
Pearson
Google
Microsoft
IBM
Carnegie Learning
Century Tech
Cognii
Squirrel AI
Knewton
Querium Corporation
Nuance Communications
OpenAI

簡介目錄圖表

Product Code: SMRC35026

According to Stratistics MRC, the Global AI in Education Market is accounted for $4.5 billion in 2026 and is expected to reach $28.0 billion by 2034 growing at a CAGR of 25.5% during the forecast period. AI in education involves leveraging machine learning and intelligent algorithms to optimize learning and teaching. It personalizes student experiences, streamlines administrative work, delivers adaptive tutoring, and generates insights from educational data. By identifying patterns and predicting progress, AI supports educators in tailoring lessons, improving student engagement, and enhancing learning outcomes. This integration of technology fosters more efficient, accessible, and effective education for learners in various academic settings.

Market Dynamics:

Driver:

Personalized Learning and Market Growth

Traditional one-size-fits-all instructional models often fail to address individual student needs, leading to disengagement and learning gaps. AI-powered adaptive learning platforms analyze real-time student performance, learning styles, and pace to deliver customized content, practice exercises, and remediation pathways. This personalization improves knowledge retention and academic outcomes. Additionally, teachers benefit from actionable dashboards that highlight struggling students, enabling timely intervention. As education systems globally shift toward student-centric models, the adoption of AI-driven personalization tools accelerates, driving market growth and transforming classroom dynamics.

Restraint:

Adoption Challenges and Data Security Concerns

Deploying AI solutions requires substantial investment in cloud infrastructure, software licenses, and teacher training, which is challenging for underfunded schools and institutions in developing regions. Furthermore, AI systems collect vast amounts of sensitive student data, including academic records, behavioral patterns, and biometric information. Strict regulations like FERPA and GDPR mandate robust data protection measures. Any breach or misuse can lead to legal liabilities and loss of trust. Smaller educational institutions may lack cybersecurity resources, making them hesitant to adopt AI, thereby limiting market expansion.

Opportunity:

Innovative Applications and Growth Opportunities

Generative AI models can create customized lesson plans, quizzes, interactive simulations, and even entire course materials, reducing teacher workload. Virtual teaching assistants powered by NLP provide 24/7 student support, answering questions and guiding homework. Additionally, AI-enabled proctoring solutions are gaining traction for online examinations, ensuring academic integrity. As hybrid and remote learning models become permanent fixtures, schools and universities are seeking scalable AI tools. Early adopters offering affordable, secure, and user-friendly generative AI solutions will capture substantial market share in the coming years.

Threat:

Bias, Over-Reliance, and Regulatory Risks

Risk of algorithmic bias and over-reliance on automation poses a serious threat to AI in education. AI models trained on biased historical data may unintentionally favor certain student demographics, leading to unfair assessments or unequal learning recommendations. For example, language processing algorithms may misinterpret non-native speech patterns, penalizing students unfairly. Moreover, excessive dependence on AI for grading and tutoring could reduce human interaction, which is critical for socio-emotional development. If not continuously audited and corrected, biased or flawed AI systems can undermine educational equity and quality. Such failures could trigger regulatory backlash, lawsuits, and decreased institutional confidence.

Covid-19 Impact:

The COVID-19 pandemic dramatically accelerated AI adoption in education as schools worldwide shifted to remote learning. Lockdowns forced institutions to seek digital tools for online instruction, automated proctoring, and student engagement tracking. AI-powered platforms enabled teachers to manage large virtual classrooms, while chatbots handled routine queries. However, the digital divide became evident, with disadvantaged students lacking devices or internet access. As schools reopened, hybrid learning models persisted, sustaining demand for AI analytics and personalized learning solutions. Governments increased ed-tech funding, and many institutions now view AI as essential rather than optional, creating long-term market momentum.

The solutions segment is expected to be the largest during the forecast period

The solutions segment, particularly intelligent tutoring systems and learning analytics dashboards, is expected to account for the largest market share. These software platforms form the core of AI-driven personalization, providing real-time adaptive learning paths and predictive analytics for educators. The essential need for measurable student progress tracking and automated content delivery drives this dominance. As K-12 and higher education institutions digitize curricula, investment in comprehensive AI solutions remains the primary expenditure, outpacing services.

The generative AI segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the generative AI segment is predicted to witness the highest growth rate. Generative models create original lesson plans, assessment questions, and interactive simulations, drastically reducing content development time. The emergence of user-friendly tools like ChatGPT for education, along with rising demand for customized learning materials, accelerates adoption. Generative AI also powers virtual teaching assistants capable of natural conversations, appealing to institutions seeking scalable, 24/7 student support without additional hiring.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by early adoption of digital learning technologies, substantial ed-tech investments, and presence of major AI vendors like IBM, Microsoft, and Google. The region's well-funded school districts and universities readily implement AI for personalized learning and automated grading. Additionally, supportive government initiatives for STEM education and robust cloud infrastructure contribute to high adoption rates.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapidly expanding education technology sectors in China, India, and Southeast Asia. Governments are launching large-scale digital education programs, such as India's DIKSHA and China's Smart Education initiative. Increasing smartphone penetration, affordable internet, and a vast student population drive demand for AI-powered tutoring and language learning solutions, positioning APAC as the fastest-growing market.

Key players in the market

Some of the key players in AI in Education Market include Coursera, Duolingo, Udemy, Pearson, Google, Microsoft, IBM, Carnegie Learning, Century Tech, Cognii, Squirrel AI, Knewton, Querium Corporation, Nuance Communications, and OpenAI.

Key Developments:

In April 2026, IBM announced a strategic collaboration with Pearson to develop AI-powered tutoring systems that help higher education institutions deliver personalized learning pathways with greater flexibility and real-time analytics. IBM's leadership in hybrid cloud and AI has enabled scalable, secure solutions for mission-critical academic workloads.

In March 2026, NVIDIA and Duolingo announced a strategic partnership to optimize large language models for language learning, offering users more natural conversational practice and real-time pronunciation feedback. The companies will also collaborate on edge AI solutions for offline language tutoring applications.

Components Covered:

Solutions
Services

Technologies Covered:

Machine Learning (ML)
Natural Language Processing (NLP)
Deep Learning
Computer Vision
Speech Recognition
Generative AI
Other Technologies

Deployment Modes Covered:

Cloud-Based
On-Premises

Applications Covered:

Personalized Learning & Adaptive Learning
Automated Grading & Feedback
Intelligent Tutoring & Virtual Mentoring
Student Engagement & Retention Analytics
Curriculum Design & Lesson Planning
Administrative Automation
Proctoring & Exam Integrity
Other Applications

End Users Covered:

K-12 Education
Higher Education
Vocational & Corporate Training
Special Education
Language Learning Centers

Regions Covered:

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- Italy
- France
- Spain
- Rest of Europe
Asia Pacific
- Japan
- China
- India
- Australia
- New Zealand
- South Korea
- Rest of Asia Pacific
South America
- Argentina
- Brazil
- Chile
- Rest of South America
Middle East & Africa
- Saudi Arabia
- UAE
- Qatar
- South Africa
- Rest of Middle East & Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032 and 2034
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global AI in Education Market, By Component

5.1 Solutions
- 5.1.1 Intelligent Tutoring Systems
- 5.1.2 Learning Analytics & Dashboards
- 5.1.3 Learning Management Systems (LMS) with AI
- 5.1.4 AI-Based Assessment & Grading Tools
- 5.1.5 Chatbots & Virtual Teaching Assistants
5.2 Services
- 5.2.1 Consulting & Strategy Services
- 5.2.2 Managed Services
- 5.2.3 Integration & Deployment Services
- 5.2.4 Training & Support Services

6 Global AI in Education Market, By Technology

6.1 Machine Learning (ML)
6.2 Natural Language Processing (NLP)
6.3 Deep Learning
6.4 Computer Vision
6.5 Speech Recognition
6.6 Generative AI
6.7 Other Technologies

7 Global AI in Education Market, By Deployment Mode

7.1 Cloud-Based
7.2 On-Premises

8 Global AI in Education Market, By Application

8.1 Personalized Learning & Adaptive Learning
8.2 Automated Grading & Feedback
8.3 Intelligent Tutoring & Virtual Mentoring
8.4 Student Engagement & Retention Analytics
8.5 Curriculum Design & Lesson Planning
8.6 Administrative Automation
8.7 Proctoring & Exam Integrity
8.8 Other Applications

9 Global AI in Education Market, By End User

9.1 K-12 Education
9.2 Higher Education
9.3 Vocational & Corporate Training
9.4 Special Education
9.5 Language Learning Centers

10 Global AI in Education Market, By Geography

10.1 North America
- 10.1.1 United States
- 10.1.2 Canada
- 10.1.3 Mexico
10.2 Europe
- 10.2.1 United Kingdom
- 10.2.2 Germany
- 10.2.3 France
- 10.2.4 Italy
- 10.2.5 Spain
- 10.2.6 Netherlands
- 10.2.7 Belgium
- 10.2.8 Sweden
- 10.2.9 Switzerland
- 10.2.10 Poland
- 10.2.11 Rest of Europe
10.3 Asia Pacific
- 10.3.1 China
- 10.3.2 Japan
- 10.3.3 India
- 10.3.4 South Korea
- 10.3.5 Australia
- 10.3.6 Indonesia
- 10.3.7 Thailand
- 10.3.8 Malaysia
- 10.3.9 Singapore
- 10.3.10 Vietnam
- 10.3.11 Rest of Asia Pacific
10.4 South America
- 10.4.1 Brazil
- 10.4.2 Argentina
- 10.4.3 Colombia
- 10.4.4 Chile
- 10.4.5 Peru
- 10.4.6 Rest of South America
10.5 Rest of the World (RoW)
- 10.5.1 Middle East
  - 10.5.1.1 Saudi Arabia
  - 10.5.1.2 United Arab Emirates
  - 10.5.1.3 Qatar
  - 10.5.1.4 Israel
  - 10.5.1.5 Rest of Middle East
- 10.5.2 Africa
  - 10.5.2.1 South Africa
  - 10.5.2.2 Egypt
  - 10.5.2.3 Morocco
  - 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives

13 Company Profiles

13.1 Coursera
13.2 Duolingo
13.3 Udemy
13.4 Pearson
13.5 Google
13.6 Microsoft
13.7 IBM
13.8 Carnegie Learning
13.9 Century Tech
13.10 Cognii
13.11 Squirrel AI
13.12 Knewton
13.13 Querium Corporation
13.14 Nuance Communications
13.15 OpenAI

簡介目錄圖表

List of Tables

Table 1 Global AI in Education Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global AI in Education Market Outlook, By Component (2023-2034) ($MN)
Table 3 Global AI in Education Market Outlook, By Solutions (2023-2034) ($MN)
Table 4 Global AI in Education Market Outlook, By Intelligent Tutoring Systems (2023-2034) ($MN)
Table 5 Global AI in Education Market Outlook, By Learning Analytics & Dashboards (2023-2034) ($MN)
Table 6 Global AI in Education Market Outlook, By Learning Management Systems (LMS) with AI (2023-2034) ($MN)
Table 7 Global AI in Education Market Outlook, By AI-Based Assessment & Grading Tools (2023-2034) ($MN)
Table 8 Global AI in Education Market Outlook, By Chatbots & Virtual Teaching Assistants (2023-2034) ($MN)
Table 9 Global AI in Education Market Outlook, By Services (2023-2034) ($MN)
Table 10 Global AI in Education Market Outlook, By Consulting & Strategy Services (2023-2034) ($MN)
Table 11 Global AI in Education Market Outlook, By Managed Services (2023-2034) ($MN)
Table 12 Global AI in Education Market Outlook, By Integration & Deployment Services (2023-2034) ($MN)
Table 13 Global AI in Education Market Outlook, By Training & Support Services (2023-2034) ($MN)
Table 14 Global AI in Education Market Outlook, By Technology (2023-2034) ($MN)
Table 15 Global AI in Education Market Outlook, By Machine Learning (ML) (2023-2034) ($MN)
Table 16 Global AI in Education Market Outlook, By Natural Language Processing (NLP) (2023-2034) ($MN)
Table 17 Global AI in Education Market Outlook, By Deep Learning (2023-2034) ($MN)
Table 18 Global AI in Education Market Outlook, By Computer Vision (2023-2034) ($MN)
Table 19 Global AI in Education Market Outlook, By Speech Recognition (2023-2034) ($MN)
Table 20 Global AI in Education Market Outlook, By Generative AI (2023-2034) ($MN)
Table 21 Global AI in Education Market Outlook, By Other Technologies (2023-2034) ($MN)
Table 22 Global AI in Education Market Outlook, By Deployment Mode (2023-2034) ($MN)
Table 23 Global AI in Education Market Outlook, By Cloud-Based (2023-2034) ($MN)
Table 24 Global AI in Education Market Outlook, By On-Premises (2023-2034) ($MN)
Table 25 Global AI in Education Market Outlook, By Application (2023-2034) ($MN)
Table 26 Global AI in Education Market Outlook, By Personalized Learning & Adaptive Learning (2023-2034) ($MN)
Table 27 Global AI in Education Market Outlook, By Automated Grading & Feedback (2023-2034) ($MN)
Table 28 Global AI in Education Market Outlook, By Intelligent Tutoring & Virtual Mentoring (2023-2034) ($MN)
Table 29 Global AI in Education Market Outlook, By Student Engagement & Retention Analytics (2023-2034) ($MN)
Table 30 Global AI in Education Market Outlook, By Curriculum Design & Lesson Planning (2023-2034) ($MN)
Table 31 Global AI in Education Market Outlook, By Administrative Automation (2023-2034) ($MN)
Table 32 Global AI in Education Market Outlook, By Proctoring & Exam Integrity (2023-2034) ($MN)
Table 33 Global AI in Education Market Outlook, By Other Applications (2023-2034) ($MN)
Table 34 Global AI in Education Market Outlook, By End User (2023-2034) ($MN)
Table 35 Global AI in Education Market Outlook, By K-12 Education (2023-2034) ($MN)
Table 36 Global AI in Education Market Outlook, By Higher Education (2023-2034) ($MN)
Table 37 Global AI in Education Market Outlook, By Vocational & Corporate Training (2023-2034) ($MN)
Table 38 Global AI in Education Market Outlook, By Special Education (2023-2034) ($MN)
Table 39 Global AI in Education Market Outlook, By Language Learning Centers (2023-2034) ($MN)