全球高等教育人工智慧市場

AI in Higher Education: Global Market

出版日期: 2026年02月25日 | 出版商:

BCC Research | 英文 76 Pages | 訂單完成後即時交付

價格

簡介目錄圖表

本報告考察了全球高等教育人工智慧市場，並對人工智慧的採用現狀、人工智慧在高等教育領域的作用、影響人工智慧採用的關鍵市場因素、人工智慧政策、監管和管治框架、主要地區的機構指導方針、關鍵人工智慧用例分析、投資和資金籌措以及生態系統和主要企業的概況進行了全面分析。

人工智慧在高等教育中的作用
高等教育中的人工智慧藍圖和應用路徑
人工智慧藍圖
招募途徑
人工智慧框架與管治
人工智慧政策和指南
監管的重要性
主要大學對人工智慧的採用或試驗
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

第3章市場力量

市場因素概覽
市場促進因素
增強個人化學習體驗
自動化管理任務
將人工智慧融入課程開發
市場挑戰與限制因素
演算法偏差
資料隱私
教職員對人工智慧應用的抵制
市場機遇
人工智慧輔導與虛擬教室
在高等教育中使用生成式人工智慧
自動評分和Brick評分

第4章人工智慧情感指數分析：高等教育

人工智慧情緒指數概述
情感指數分析方法及資料來源
計算方法
AI情感評分
分析
四種情感類型
採用
中斷
用例
花費
跨應用洞察
學院
學生
行政人員
人工智慧簡介：情感分析
AI實施：基於應用程式的情感分析
人工智慧顛覆性創新：情感分析
人工智慧顛覆性創新：應用的情感分析
人工智慧應用案例：情感分析
人工智慧應用案例：應用程式的情感分析
人工智慧支出：情緒分析
人工智慧支出：按應用進行情感分析

第5章：人工智慧競爭格局

AI技術堆疊提供者概覽：平台、基礎設施和服務
平台提供者
基礎設施提供者
服務供應商
近期趨勢和策略舉措
人工智慧在高等教育領域的投資與津貼
教育科技領域的人工智慧
教育科技領域的AIStart-Ups
教育科技領域人工智慧公司的資金籌措
市場生態系統
學習管理平台
自適應/個人化學習
評估工具
內容髮現工具
支援工具
高等教育大學
產品映射分析
初步研究見解（從大學的觀點）
人工智慧在高等教育中的作用
學生使用的頂級人工智慧工具
人工智慧該如何幫助大學？
主要受訪者對高等教育中人工智慧的看法

第6章附錄

簡介目錄圖表

Product Code: AIT140A

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

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

Chapter 6 Appendix

Methodology
References
Abbreviations

簡介目錄圖表

List of Tables

Table 1 : Parameters for AI Policy in Top Universities
Table 2 : Focus on AI Policies at Top Ranked Universities, October 2025
Table 3 : Parameters for AI Policy Development in Higher Education
Table 4 : AI Literacy Framework for Stakeholders
Table 5 : Benefits of Automating Rubric Feedback
Table 6 : AI Sentiment Scores for Higher Education, 2025
Table 7 : AI Adoption Sentiment Scores, by Application, 2025
Table 8 : AI Disruption Sentiment Scores, by Application, 2025
Table 9 : AI Use Cases Sentiment Scores, by Application, 2025
Table 10 : AI Spend Sentiment Scores, by Application, 2025
Table 11 : Copilot Features in Microsoft 365 Apps
Table 12 : Google Gemini Features for Higher Education
Table 13 : Developments and Strategic Initiatives in Higher Education, 2024 - January 2026
Table 14 : Investments and Grants for AI in Higher Education, 2024-2026
Table 15 : Product Mapping Analysis Comparing Vendors' AI Features in Higher Education, 2025
Table 16 : Abbreviations Used in This Report