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人工智能

教育領域人工智慧市場規模、佔有率和成長分析（按組件、部署類型、技術、交付類型、應用、最終用戶和地區分類）—產業預測（2026-2033 年）

市場調查報告書

商品編碼

1895735

教育領域人工智慧市場規模、佔有率和成長分析（按組件、部署類型、技術、交付類型、應用、最終用戶和地區分類）—產業預測（2026-2033 年）

AI in Education Market Size, Share, and Growth Analysis, By Component (Solutions, Services), By Deployment Mode (Cloud-Based, On-Premises), By Technology, By Delivery Mode, By Application, By End-User, By Region - Industry Forecast 2026-2033

出版日期: 2025年12月15日 | 出版商:

SkyQuest | 英文 182 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計到 2024 年，全球教育領域人工智慧市場規模將達到 48.5 億美元，到 2025 年將成長至 57.7 億美元，到 2033 年將成長至 230.4 億美元，在預測期（2026-2033 年）內複合年成長率為 18.9%。

數位化的快速發展和數位學習的廣泛普及正在推動教育領域對人工智慧的需求。全球學生對個人化學習體驗的日益成長的需求，為人工智慧的整合創造了機會。此外，教育機構行政和教學任務自動化程度的提高，預計將為人工智慧供應商帶來更多收益。持續投資於創新人工智慧驅動教育技術的研發，可望促進市場成長。然而，人工智慧模型可能存在的偏見、高昂的實施成本、教育工作者數位素養的不足以及發展中地區基礎設施的匱乏等挑戰，可能會阻礙人工智慧在教育領域的廣泛應用，從而對市場擴張構成重大障礙。

全球教育人工智慧市場促進因素

全球人工智慧教育市場的主要驅動力之一是對個人化學習體驗日益成長的需求。隨著教育機構和組織尋求提高學生參與度和改善學習成果，人工智慧技術能夠內容客製化，以滿足不同學習者的需求。這種適應性不僅支持多樣化的學習風格，還能促進即時回饋，使教育者能夠快速識別並彌補知識缺口。此外，學校和大學越來越重視數據驅動的決策，這進一步推動了人工智慧的整合，因為它們希望利用分析技術來最佳化教學策略和課程開發。

全球教育人工智慧市場面臨的限制因素

全球教育領域人工智慧市場面臨的主要限制因素之一是資料隱私和安全問題。隨著教育機構採用人工智慧技術，它們收集的敏感學生資料越來越多，這引發了關於資料處理和保護的重大倫理和法律挑戰。由於擔心資料外洩和個人資訊濫用，家長、教育工作者和教育機構可能不願意採用人工智慧解決方案。此外，不同地區法規和合規要求的差異也使人工智慧在教育領域的實施更加複雜，進一步阻礙了市場成長和普及。

全球教育領域人工智慧市場趨勢

全球教育人工智慧市場正快速擴張，預測分析技術的應用日益普及，旨在提升學生的學習成果。借助預測建模技術，教育機構能夠深入了解學生的學習表現，追蹤其學習進度，並識別潛在的學習差距。這一趨勢促進了早期療育策略的實施，使學校和大學能夠在學生尋求幫助之前，提供量身定做的個人化輔導。因此，預測分析的整合不僅能提升學生的學業成績，還能營造更積極主動、反應迅速的教育環境，最終改變教育機構提升學生成功率和留校率的方式。

北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 西班牙
- 法國
- 義大利
- 其他歐洲地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 亞太其他地區
拉丁美洲
- 巴西
- 墨西哥
- 其他拉丁美洲地區
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭對手儀錶板

前五大公司對比
主要企業的市場定位（2025 年）
主要市場參與者所採取的策略
近期市場趨勢
公司市佔率分析（2025 年）

主要企業簡介

Microsoft Corporation
IBM
Google
Carnegie Learning, Inc
Amazon Web Services, Inc.
Squirrel AI
Merlyn Mind
Magic School, Inc.
Verge AI
Edsoma
TeachMateAI Ltd
Juji, Inc.
SchoolAI
LearnQ Inc.
Cramly AI
Cognii, Inc.
Querium
Amira Learning
Quillbot
Pearson Plc

結論和分析師建議

簡介目錄

Product Code: SQMIG45A2498

Global AI In Education Market size was valued at USD 4.85 Billion in 2024 and is poised to grow from USD 5.77 Billion in 2025 to USD 23.04 Billion by 2033, growing at a CAGR of 18.9% during the forecast period (2026-2033).

The surge in digitization and the widespread adoption of e-learning are driving significant demand for AI in education. Students worldwide increasingly seek personalized learning experiences, creating opportunities for AI integration. Moreover, the push for automation in both administrative and teaching roles within educational institutions is expected to enhance revenue for AI providers. Ongoing investments in the development of innovative AI-driven educational technologies are likely to support market growth. However, challenges such as concerns over bias in AI models, high implementation costs, insufficient digital literacy among educators, and limited infrastructure in less developed regions may impede the widespread adoption of AI in education, presenting critical barriers to market expansion.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global AI In Education market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global AI In Education Market Segments Analysis

Global AI In Education Market is segmented by Component, Deployment Mode, Technology, Delivery Mode, Application, End-User and region. Based on Component, the market is segmented into Solutions and Services. Based on Deployment Mode, the market is segmented into Cloud-Based and On-Premises. Based on Technology, the market is segmented into Natural Language Processing (NLP), Machine Learning (ML), Deep Learning, Computer Vision, Predictive Analytics and Other Technologies. Based on Delivery Mode, the market is segmented into Mobile Applications and Web-Based Platforms. Based on Application, the market is segmented into Smart Content, Personalized Learning, Virtual Mentorship & Tutoring, Student Management, Administrative Automation, Learning Analytics, Fraud & Risk Management, Language Learning Support, Exam Proctoring & Assessment and Other Applications. Based on End-User, the market is segmented into K-12 Education, Higher Education, Corporate Learning / Enterprise Training and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global AI In Education Market

A significant key market driver for the Global AI in Education Market is the increasing demand for personalized learning experiences. As educational institutions and organizations seek to enhance student engagement and improve learning outcomes, AI technologies enable the customization of educational content to meet individual learner needs. This adaptability not only supports diverse learning styles but also facilitates real-time feedback, enabling educators to identify and address knowledge gaps promptly. The growing emphasis on data-driven decision-making further propels the integration of AI, as schools and universities strive to leverage analytics for optimizing teaching strategies and curricular development.

Restraints in the Global AI In Education Market

One key market restraint for the global AI in education market is the concern over data privacy and security. As educational institutions increasingly adopt AI technologies, they often collect sensitive student data, which raises significant ethical and legal issues regarding data handling and protection. Parents, educators, and institutions may be hesitant to embrace AI solutions due to fears of data breaches or misuse of personal information. Additionally, varying regulations and compliance requirements across different regions can complicate the implementation of AI in educational settings, further hindering market growth and adoption.

Market Trends of the Global AI In Education Market

The Global AI in Education market is increasingly embracing the use of predictive analytics to enhance student outcomes. By leveraging predictive modeling techniques, educational institutions can gain valuable insights into student performance, track progress over time, and identify potential learning gaps. This trend facilitates early intervention strategies, enabling schools and universities to offer personalized support tailored to individual needs prior to students seeking assistance. As a result, the integration of predictive analytics not only improves academic performance but also fosters a more proactive and responsive educational environment, ultimately transforming the way institutions approach student success and retention.

Introduction

Objectives of the Study
Market Definition & Scope

Research Methodology

Research Process
Secondary & Primary Data Methods
Market Size Estimation Methods
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Key Market Highlights
Segmental Overview
Competition Overview

Market Dynamics & Outlook

Macro-Economic Indicators
Drivers & Opportunities
Restraints & Challenges
Supply Side Trends
Demand Side Trends
Porters Analysis & Impact
- Competitive Rivalry
- Threat of Substitute
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers

Key Market Insights

Key Success Factors
Market Impact Factor
Top Investment Pockets
Market Attractiveness Index
Market Ecosystem
PESTEL Analysis
Pricing Analysis
Regulatory Landscape
Technology Analysis
Startup Analysis
Case Study Analysis
Value Chain Analysis

Global AI In Education Market Size by Component (2019-2032)

Market Overview
Solutions
- Learning Management Systems (LMS)
- Smart Content Creation
- Virtual Facilitators & Learning Environments
- Intelligent Tutoring Systems
- Chatbots & Virtual Assistants
- Gamified Learning Platforms
- Text Analytics
- Adaptive Learning Platforms
- Others
Services
- Professional Services
- Consulting
- Training & Support
- Managed Services

Global AI In Education Market Size by Deployment Mode (2019-2032)

Market Overview
Cloud-Based
On-Premises

Global AI In Education Market Size by Technology (2019-2032)

Market Overview
Natural Language Processing (NLP)
Machine Learning (ML)
Deep Learning
Computer Vision
Predictive Analytics
Other Technologies

Global AI In Education Market Size by Delivery Mode (2019-2032)

Market Overview
Mobile Applications
Web-Based Platforms

Global AI In Education Market Size by Application (2019-2032)

Market Overview
Smart Content
Personalized Learning
Virtual Mentorship & Tutoring
Student Management
Administrative Automation
Learning Analytics
Fraud & Risk Management
Language Learning Support
Exam Proctoring & Assessment
Other Applications

Global AI In Education Market Size by End-User (2019-2032)

Market Overview
K-12 Education
Higher Education
Corporate Learning / Enterprise Training
Others

Global AI In Education Market Size (2019-2032)

North America (By Component, By Deployment Mode, By Technology, By Delivery Mode, By Application, & By End-User)
- US
- Canada
Europe (By Component, By Deployment Mode, By Technology, By Delivery Mode, By Application, & By End-User)
- UK
- Germany
- Spain
- France
- Italy
- Rest of Europe
Asia-Pacific (By Component, By Deployment Mode, By Technology, By Delivery Mode, By Application, & By End-User)
- China
- India
- Japan
- South Korea
- Rest of Asia Pacific
Latin America (By Component, By Deployment Mode, By Technology, By Delivery Mode, By Application, & By End-User)
- Brazil
- Mexico
- Rest of Latin America
Middle East & Africa (By Component, By Deployment Mode, By Technology, By Delivery Mode, By Application, & By End-User)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Dashboard

Top 5 Player Comparison
Market Positioning of Key Players, 2025
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2025

Key Company Profiles

Microsoft Corporation
- Company Overview
- Product Portfolio Overview
- Financial Overview
- Key Developments
The following companies are listed for indicative purposes only. Similar information will be provided for each, with detailed financial data available exclusively for publicly listed companies.
IBM
Google
Carnegie Learning, Inc
Amazon Web Services, Inc.
Squirrel AI
Merlyn Mind
Magic School, Inc.
Verge AI
Edsoma
TeachMateAI Ltd
Juji, Inc.
SchoolAI
LearnQ Inc.
Cramly AI
Cognii, Inc.
Querium
Amira Learning
Quillbot
Pearson Plc