한글목차

교육용 인공지능(AI) 시장 규모는 2025년 85억 1,000만 달러에서 2026-2034년에 CAGR 31.78%로 성장하며, 2034년에는 1,020억 3,000만 달러에 달할 것으로 예측되고 있습니다.

교육 분야 AI 시장은 학습 환경의 기술 통합이 진행되고 개인화된 교육 경험에 대한 수요가 증가함에 따라 괄목할 만한 성장이 예상됩니다. 교육기관이 학생들의 학습 의욕을 높이고 학습 성과를 향상시키기 위해 노력하는 가운데, 인공지능은 변화를 가져올 수 있는 툴로 부상하고 있습니다. AI 기반 플랫폼은 학생들의 성적 데이터를 분석하여 학습 격차를 파악하고, 개인별 맞춤 교육 컨텐츠를 제공할 수 있습니다. 이러한 수준의 커스터마이징은 보다 효과적인 학습 경험을 촉진할 뿐만 아니라, 교육자가 관리 업무가 아닌 교육 자체에 집중할 수 있게 해줍니다. AI 기술의 지속적인 발전으로 교육 툴의 기능은 더욱 강화될 것이며, 현대 교실에서 없어서는 안 될 필수 요소로 자리 잡을 것으로 보입니다.

또한 전 세계적인 사건으로 인해 가속화된 원격 학습과 하이브리드 학습 모델의 부상은 효과적인 온라인 교육을 실현하는 데 있으며, AI의 중요성을 강조하고 있습니다. 지능형 지도 시스템 및 가상 학습 도우미가 널리 보급되어 전통적 교실 환경 밖에서도 학생들에게 즉각적인 피드백과 지원을 제공합니다. 이러한 AI 기반 솔루션은 접근성을 향상시킬 뿐만 아니라, 다양한 학습 스타일과 요구에 대응함으로써 포용성을 촉진합니다. 교육기관이 디지털 인프라에 대한 투자를 지속하면서 기존 시스템에 원활하게 통합할 수 있는 AI 솔루션에 대한 수요가 급증하여 시장 성장을 촉진할 것으로 예측됩니다.

또한 교육 분야에서의 데이터베이스 의사결정의 중요성이 커지면서 교육 분야 AI 시장 전망상을 형성하고 있습니다. 교육기관은 AI 분석을 활용하여 학생 행동, 커리큘럼 효과, 자원 배분에 대한 인사이트을 얻고 있습니다. 이러한 데이터 중심 접근 방식을 통해 교육자들은 정보에 입각한 의사결정을 내리고, 교육 전략을 강화하며, 교육기관 전체의 성과를 향상시킬 수 있습니다. 시장이 진화하는 가운데, 교육 분야의 고유한 과제를 해결하는 혁신적인 AI 솔루션을 개발하기 위해서는 기술 프로바이더와 교육기관의 협력이 매우 중요해질 것입니다. 이러한 추세에 비추어 볼 때, 교육 분야의 AI 시장은 발전할 것이며, 혁신과 발전을 위한 풍부한 기회를 제공할 것으로 예측됩니다.

목차

제1장 서론

제2장 개요

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 교육용 인공지능(AI) 시장 : 컴포넌트별

제5장 세계의 교육용 인공지능(AI) 시장 : 배포별

제6장 세계의 교육용 인공지능(AI) 시장 : 기술별

제7장 세계의 교육용 인공지능(AI) 시장 : 용도별

제8장 세계의 교육용 인공지능(AI) 시장 : 최종 사용별

제9장 세계의 교육용 인공지능(AI) 시장 : 지역별

제10장 경쟁 구도

제11장 기업 개요

영문목차

The AI In Education Market size is expected to reach USD 102.03 Billion in 2034 from USD 8.51 Billion (2025) growing at a CAGR of 31.78% during 2026-2034.

The AI in education market is poised for remarkable growth, driven by the increasing integration of technology in learning environments and the demand for personalized educational experiences. As educational institutions seek to enhance student engagement and improve learning outcomes, artificial intelligence is emerging as a transformative tool. AI-powered platforms can analyze student performance data, identify learning gaps, and tailor educational content to meet individual needs. This level of customization not only fosters a more effective learning experience but also empowers educators to focus on teaching rather than administrative tasks. The ongoing evolution of AI technologies is expected to further enhance the capabilities of educational tools, making them indispensable in modern classrooms.

Moreover, the rise of remote and hybrid learning models, accelerated by global events, has underscored the importance of AI in facilitating effective online education. Intelligent tutoring systems and virtual learning assistants are becoming increasingly prevalent, providing students with immediate feedback and support outside traditional classroom settings. These AI-driven solutions are not only enhancing accessibility but also promoting inclusivity by catering to diverse learning styles and needs. As educational institutions continue to invest in digital infrastructure, the demand for AI solutions that can seamlessly integrate into existing systems is likely to surge, driving market growth.

Additionally, the increasing emphasis on data-driven decision-making in education is shaping the future of the AI in education market. Institutions are leveraging AI analytics to gain insights into student behavior, curriculum effectiveness, and resource allocation. This data-centric approach enables educators to make informed decisions that enhance teaching strategies and improve overall institutional performance. As the market evolves, the collaboration between technology providers and educational institutions will be crucial in developing innovative AI solutions that address the unique challenges of the education sector. With these trends in play, the AI in education market is set to flourish, offering a wealth of opportunities for innovation and advancement.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

• Solutions
• Services

By Deployment

• Cloud
• On-Premises

By Technology

• Natural Language Processing (NLP)
• Machine Learning

By Application

• Learning Platform & Virtual Facilitators
• Intelligent Tutoring System (ITS)
• Smart Content
• Fraud And Risk Management
• Others

By End-Use

• K-12 Education
• Higher Education
• Corporate Training & Learning

COMPANIES PROFILED

• Amazon Web Services Inc, IBM Corporation, Microsoft, Google LLC, Pearson, BridgeU, DreamBox Learning Inc, Carnegie Learning Inc, Fishtree Inc, Anthology Inc

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN EDUCATION MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Solutions Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN EDUCATION MARKET: BY DEPLOYMENT 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Deployment
• 5.2. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. On-Premises Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN EDUCATION MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Technology
• 6.2. Natural Language Processing (NLP) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN EDUCATION MARKET: BY APPLICATION 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Application
• 7.2. Learning Platform & Virtual Facilitators Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Intelligent Tutoring System (ITS) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Smart Content Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Fraud And Risk Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN EDUCATION MARKET: BY END-USE 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast End-use
• 8.2. K-12 Education Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Higher Education Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Corporate Training & Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN EDUCATION MARKET: BY REGION 2022-2034(USD MN)

• 9.1. Regional Outlook
• 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.2.1 By Component
  • 9.2.2 By Deployment
  • 9.2.3 By Technology
  • 9.2.4 By Application
  • 9.2.5 By End-use
  • 9.2.6 United States
  • 9.2.7 Canada
  • 9.2.8 Mexico
• 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.3.1 By Component
  • 9.3.2 By Deployment
  • 9.3.3 By Technology
  • 9.3.4 By Application
  • 9.3.5 By End-use
  • 9.3.6 United Kingdom
  • 9.3.7 France
  • 9.3.8 Germany
  • 9.3.9 Italy
  • 9.3.10 Russia
  • 9.3.11 Rest Of Europe
• 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.4.1 By Component
  • 9.4.2 By Deployment
  • 9.4.3 By Technology
  • 9.4.4 By Application
  • 9.4.5 By End-use
  • 9.4.6 India
  • 9.4.7 Japan
  • 9.4.8 South Korea
  • 9.4.9 Australia
  • 9.4.10 South East Asia
  • 9.4.11 Rest Of Asia Pacific
• 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.5.1 By Component
  • 9.5.2 By Deployment
  • 9.5.3 By Technology
  • 9.5.4 By Application
  • 9.5.5 By End-use
  • 9.5.6 Brazil
  • 9.5.7 Argentina
  • 9.5.8 Peru
  • 9.5.9 Chile
  • 9.5.10 South East Asia
  • 9.5.11 Rest of Latin America
• 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.6.1 By Component
  • 9.6.2 By Deployment
  • 9.6.3 By Technology
  • 9.6.4 By Application
  • 9.6.5 By End-use
  • 9.6.6 Saudi Arabia
  • 9.6.7 UAE
  • 9.6.8 Israel
  • 9.6.9 South Africa
  • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

• 10.1. Recent Developments
• 10.2. Company Categorization
• 10.3. Supply Chain & Channel Partners (based on availability)
• 10.4. Market Share & Positioning Analysis (based on availability)
• 10.5. Vendor Landscape (based on availability)
• 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL AI IN EDUCATION INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Company Profiles
  • 11.2.1 Amazon Web Services Inc
  • 11.2.2 IBM Corporation
  • 11.2.3 Microsoft
  • 11.2.4 Google LLC
  • 11.2.5 Pearson
  • 11.2.6 BridgeU
  • 11.2.7 DreamBox Learning Inc
  • 11.2.8 Carnegie Learning Inc
  • 11.2.9 Fishtree Inc
  • 11.2.10 Anthology Inc