세계의 고등교육 분야 AI 시장을 조사했으며, AI 도입 현황, 고등교육 부문에서의 AI 역할, AI 활용을 형성하는 주요 시장 요인, 주요 지역의 AI 정책, 규제, 거버넌스 프레임워크, 기관별 가이드라인, 주요 AI 활용 사례 분석, 투자 및 자금 조달 동향, 에코시스템 및 주요 기업 프로파일 등의 정보를 정리하여 전해드립니다.
목차
제1장 소개
조사 범위
시장 요약
기술 통합
시장 역학 및 성장 요인
향후 동향과 발전
정책적 관점
심리지수의 관점
결론
제2장 주요 대학의 AI 정책, 준비 현황, 시장 기반
고등교육에서 AI의 역할
고등교육에서의 AI 로드맵과 도입 경로
AI 로드맵
채용 경로
AI 프레임워크와 거버넌스
AI 정책 및 가이드라인
규제의 중요성
주요 대학의 AI 도입 또는 실험
University of Oxford
Massachusetts Institute of Technology(MIT)
Princeton University
University of Cambridge
Harvard University
Stanford University
California Institute of Technology(Caltech)
Imperial College London
University of California(UC)
Yale University
ETH Zurich
Tsinghua University
University of Pennsylvania
University of Chicago
Johns Hopkins University
National University of Singapore
Cornell University
Columbia University
제3장 시장의 힘
시장 요인 : 스냅샷
시장 촉진요인
개인화된 학습 경험 강화
관리 업무 자동화
커리큘럼 개발에 AI 통합
시장의 과제와 제약
알고리즘의 편향성
데이터 프라이버시
AI 도입에 대한 교직원들의 저항
시장 기회
AI 튜터와 가상 교실
고등교육에서의 생성형 AI 활용
자동 채점 및 루브릭 채점
제4장 AI 체감지수 분석 : 고등 교육
AI 체감지수 개요
감성지수 분석 방법 및 데이터 소스
계산 방법
AI 감정 점수
분석
감정의 4가지 카테고리
도입(Adoption)
변화(Disruption)
사용 사례(Use Case)
지출(Spend)
크로스 애플리케이션 인사이트
교수진
학생
관리자
AI 도입 : 감정 분석
AI 도입 : 용도별 감성 분석
AI를 통한 파괴적 혁신 : 감정 분석
AI를 통한 파괴적 혁신 : 용도별 감성 분석
AI 활용 사례 : 감정 분석
AI 활용 사례 : 용도별 감정 분석
AI 지출 : 감정 분석
AI 지출 : 용도별 감성 분석
제5장 AI의 경쟁 구도
AI 스택 제공업체 스냅샷 : 플랫폼, 인프라, 서비스
플랫폼 제공업체
인프라 제공업체
서비스 제공업체
최근 동향 및 전략적인 노력
고등교육에서의 AI 투자 및 보조금
EdTech 분야에서의 AI
EdTech의 AI 스타트업
EdTech의 AI 기업 자금 조달
시장 생태계
학습 관리 플랫폼
적응형/개별 학습
평가 도구
컨텐츠 감지 도구
지원 도구
고등교육 대학
제품 매핑 분석
1차 조사 인사이트(대학의 관점)
고등교육에서 AI의 역할
학생들이 사용하는 주요 AI 도구
AI는 대학을 어떻게 지원해야 하는가?
고등교육에서 AI에 대한 주요 응답자의 견해
제6장 부록
KSM
영문 목차
영문목차
This report will offer an in-depth analysis of the global AI in higher education market and analyze important market forces. It will examine detailed policy and guidance along with institutional guidelines, and provide key use cases analysis by faculty, students and administrative staff. The report will also cover the impact of AI adoption, including investments and funding by platform providers and end users. In addition, the market ecosystem covering AI technology and platform providers, content and learning solution providers, system integrators and service providers, higher education institutions and end users will be analyzed, supported by a sentiment index survey to provide key insights on adoption, investments, the market ecosystem and other crucial parameters.
Report Scope
This report provides an overview of the global market for artificial intelligence (AI) in higher education and analyzes market trends.
The study focuses on providing insight into AI in higher education.
In-depth policy and guidance, along with institutional guidelines, are analyzed.
Market dynamics, including key drivers, challenges, and opportunities, are covered.
The research also covers the impact of AI adoption, along with investments and funding by platform providers and end users.
The report analyzes in detail the market ecosystem covering AI technology and platform providers, content and learning solution providers, systems integrators and service providers, and higher education institutions.
A survey was conducted to provide insights for adoption, investments and the market ecosystem.
The report also covers the sentiment index on four key parameters for AI in higher education: adoption, disruption, use cases and spending.
Report Includes
An overview of artificial intelligence (AI) adoption and its role in the global higher education sector
Analysis of key market forces shaping AI use in higher education, including drivers, challenges, trends, and opportunities
Review of AI policies, regulations, governance frameworks, and institutional guidelines across major regions
Examination of AI readiness, adoption pathways, and value chain stakeholders in higher education
Assessment of the impact of U.S. tariffs and trade policies on the AI in higher education market
Analysis of key AI use cases for faculty, students, and administrative staff
Evaluation of AI adoption impact, including investments and funding by platform providers and end users
AI Sentiment Index analysis covering adoption, disruption, spending, and use cases in higher education
Analysis of the competitive landscape, including AI platform providers, solution providers, system integrators, and service providers
Insights from primary research highlighting key pain points, unmet needs, and emerging areas
Overview of the market ecosystem involving technology providers, content and learning solution providers, and higher education institutions
Company profiles of the leading players
Table of Contents
Chapter 1 Introduction
Scope of Report
Market Summary
Integration of Technology
Market Dynamics and Growth Factors
Future Trends and Developments
Policy Viewpoint
Sentiment Index Viewpoint
Conclusion
Chapter 2 AI Policy, Readiness and Market Foundations in Top Universities
Role of AI in Higher Education
AI Roadmap and Adoption Pathways in Higher Education
AI Roadmap
Adoption Pathways
AI Frameworks and Governance
AI Policies and Guidelines
Importance of Regulations
Implementation or Experimentation of AI in Key Universities
University of Oxford
Massachusetts Institute of Technology (MIT)
Princeton University
University of Cambridge
Harvard University
Stanford University
California Institute of Technology (Caltech)
Imperial College London
University of California (UC)
Yale University
ETH Zurich
Tsinghua University
University of Pennsylvania
University of Chicago
Johns Hopkins University
National University of Singapore
Cornell University
Columbia University
Chapter 3 Market Forces
Market Forces Snapshot
Market Drivers
Enhancement of the Personalized Learning Experience
Automation of Administrative Tasks
Integration of AI into Curriculum Development
Market Challenges and Restraints
Algorithmic Bias
Data Privacy
Faculty and Staff Resistance to Adopting AI
Market Opportunities
AI Tutors and Virtual Classrooms
Embracing Generative AI in Higher Education
Automated Grading and Rubric Scoring
Chapter 4 AI Sentiment Index Analysis: Higher Education
Overview of the AI Sentiment Index
Sentiment Index Analysis Methodology and Data Sources
How Is It Calculated?
AI Sentiment Scores
Analysis
Four Categories of Sentiment
Adoption
Disruption
Use Case
Spend
Cross-Application Insights
Faculty
Students
Administrators
AI Adoption: Sentiment Analysis
Introduction
AI Adoption: Sentiment Analysis by Application
AI Disruption: Sentiment Analysis
Introduction
AI Disruption: Sentiment Analysis by Application
AI Use Cases: Sentiment Analysis
Introduction
AI Use Cases: Sentiment Analysis by Application
AI Spend: Sentiment Analysis
Introduction
AI Spend: Sentiment Analysis by Application
Chapter 5 AI Competitive Landscape
AI Stack Providers Snapshot: Platform, Infrastructure and Service
Platform Providers
Infrastructure Providers
Service Providers
Recent Developments and Strategic Initiatives
Investments and Grants for AI in Higher Education
AI in the EdTech Sector
AI Startups in EdTech
Funding in AI Companies in EdTech
Market Ecosystem
Learning Management Platforms
Adaptive/Personalized Learning
Assessment Tools
Content Detection Tools
Assistance Tools
Higher Education Universities
Product Mapping Analysis
Primary Research Insights (From Universities' Perspectives)
Role of AI in Higher Education
Key AI Tools Used by Students
How Should AI Assist Universities?
Viewpoints of Primary Respondents on AI in Higher Education
