查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1697420

教育市场中的人工智慧（AI）：未来预测（2025-2030）

Artificial Intelligence in Education Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 147 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计 2025 年教育人工智慧 (AI) 市场价值将达到 189.24 亿美元，预计年复合成长率为 20.77%，到 2030 年市场规模将达到 486.26 亿美元。

智慧型设备的广泛使用和各领域的数位化趋势推动了人工智慧（AI）在教育领域的应用日益广泛。人工智慧解决方案还提供根据每个使用者的需求量身定制的学习体验。人工智慧技术的不断进步，以及政府各项措施的支持，正在推动教育人工智慧 (AI) 市场的发展。

市场趋势：

  • 人工智慧技术投资激增刺激市场扩张：在各种政府措施的推动下，市场参与企业正在增加对人工智慧技术的投资。这正在激发人工智慧技术的创新，促进其与教育的融合，并推动市场成长。例如，欧盟于2020年推出了《数位教育行动计画（2021-2027年）》，致力于在整个欧洲推广优质、包容和可及的数位教育。该计划将有助于教育和培训系统适应数位时代，并大大加快人工智慧在教育领域的应用。
  • 针对每个学生的优势和劣势进行个人化、适应性学习的需求日益增长，推动了自订教育方法的需求。
  • 人工智慧结合对个人需求和偏好的洞察，调整学习方式并为每个学生设计量身定制的学习路径。
  • 亚太地区：受印度和中国等国家经济扩张等因素的推动，亚太地区预计将见证AI教育市场的显着成长。这种经济成长得到了政府鼓励进一步数位化的政策和措施的支持。到预测期结束时，亚太地区预计将占据相当大的市场占有率并保持强劲的成长轨迹。
  • 北美：北美预计将在全球教育人工智慧市场中占据突出份额，这得益于其在教育中采用人工智慧所需的先进基础设施和资源。此外，该地区精通科技的人口乐于接受人工智慧主导的教育技术，进一步推动市场成长。

报告中介绍的主要企业包括 IBM、微软和Google。

本报告的主要优点

  • 深刻分析：获得涵盖主要地区和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔。
  • 竞争格局：了解全球主要企业所采用的策略策略，并了解正确策略带来的潜在市场渗透。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何影响市场的未来发展。
  • 可行的建议：利用洞察力进行策略决策，在动态环境中开闢新的业务流和收益。
  • 适用范围广：对于新兴企业、研究机构、顾问公司、中小企业和大型企业来说，它都是实用且具有成本效益的。

它有什么用途？

产业与市场洞察、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

分析范围

  • 历史资料与预测（2022-2030）
  • 历史资料（2022-2024）和预测资料（2025-2030）
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 按部门和地区（国家）分類的收益成长和预测分析
  • 公司概况（策略、产品、财务资讯、主要趋势等）

教育人工智慧（AI）市场细分为：

依技术

  • 深度学习
  • 机器学习
  • 自然语言处理
  • 电脑视觉

依部署方式

  • 云
  • 本地

按解决方案

  • 软体
  • 服务
  • 硬体

按最终用户

  • 高等教育
  • 教育机构
  • 企业培训

按配送方式

  • 行动应用程式
  • 网路为基础的平台

按地区

  • 北美洲
  • 南美洲
  • 欧洲
  • 中东和非洲
  • 亚太地区

目录

第一章 引言

  • 市场概览
  • 市场定义
  • 分析范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章分析方法

  • 分析设计
  • 分析过程

第三章执行摘要

  • 主要发现

第四章 市场动态

  • 市场驱动因素
  • 市场限制
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章人工智慧（AI）教育市场（按技术）

  • 介绍
  • 深度学习
  • 机器学习
  • 自然语言处理
  • 电脑视觉

第六章教育人工智慧（AI）市场（以部署方式）

  • 介绍
  • 云
  • 本地

第七章. 教育人工智慧 (AI) 市场（按解决方案）

  • 介绍
  • 软体
  • 服务
  • 硬体

第八章教育市场中的人工智慧（AI）终端用户

  • 介绍
  • 高等教育
  • 教育
  • 企业培训

第九章人工智慧（AI）教育市场（以交付方式）

  • 介绍
  • 行动应用程式
  • 网路为基础的平台

第十章. 按地区分類的教育市场人工智慧（AI）

  • 介绍
  • 北美洲
    • 依技术
    • 依部署方式
    • 按解决方案
    • 按最终用户
    • 按配送方式
    • 按国家
  • 南美洲
    • 依技术
    • 依部署方式
    • 按解决方案
    • 按最终用户
    • 按配送方式
    • 按国家
  • 欧洲
    • 依技术
    • 依部署方式
    • 按解决方案
    • 按最终用户
    • 按配送方式
    • 按国家
  • 中东和非洲
    • 依技术
    • 依部署方式
    • 按解决方案
    • 按最终用户
    • 按配送方式
    • 按国家
  • 亚太地区
    • 依技术
    • 依部署方式
    • 按解决方案
    • 按最终用户
    • 按配送方式
    • 按国家

第十一章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 企业合併、协议、商业合作
  • 竞争仪錶板

第十二章 公司简介

  • Intel Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • IBM Corporation
  • NVIDIA Corporation
  • People.ai Inc
  • Cisco Systems
  • Verint Systems
  • Salesforce
  • Siemens AG

第十三章 附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益
  • 分析方法
  • 简称
简介目录
Product Code: KSI061612924

The Artificial Intelligence (AI) market in education, valued at US$18.924 billion in 2025, is projected to grow at a CAGR of 20.77%, reaching a market size of US$48.626 billion by 2030.

The increasing adoption of artificial intelligence in education can be attributed to several factors driven by the widespread use of smart devices and the growing trend of digitization across various sectors. In addition, AI solutions offer tailored learning experiences, adapting to individual user needs. The growing advancement in Artificial Intelligence technologies, supported by various government initiatives as well, is driving the market of artificial intelligence in the education market.

Market Trends:

  • The surge in investments in artificial intelligence technology is fueling market expansion: Market players, backed by various government initiatives, are increasingly investing in AI technologies. This is spurring innovation in AI and boosting its integration into education, thereby driving market growth. For example, the European Union introduced the "Digital Education Action Plan (2021-2027)" in 2020, which focuses on promoting high-quality, inclusive, and accessible digital education across Europe. This initiative supports the adaptation of education and training systems to the digital era, significantly accelerating the adoption of AI in education.
  • There is an increasing demand for personalized and adaptive learning tailored to each student's strengths and weaknesses, heightening the need for customized educational approaches.
  • AI is being integrated with insights into individual needs and preferences, tailoring learning styles to design personalized learning pathways for each student.
  • Asia-Pacific: The Asia-Pacific region is expected to experience substantial growth in the AI education market, propelled by factors such as the expanding economies of countries like India and China. This economic growth is fostering greater digitization, supported by government policies and initiatives. By the end of the forecast period, the Asia-Pacific region is projected to capture a significant market share and maintain a strong growth trajectory.
  • North America: North America is anticipated to command a notable share of the global AI in Education market, thanks to its advanced infrastructure and resources essential for adopting AI in education. Additionally, the region's tech-savvy population, which readily embraces AI-driven education technologies, is further accelerating market growth.

Some of the major players covered in this report include IBM, Microsoft, Google, among others.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2022 to 2024 & forecast data from 2025 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Artificial Intelligence (AI) in Education Market Segmentation:

By Technology

  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Computer Vision

By Deployment

  • Cloud
  • On-premise

By Solution

  • Software
  • Services
  • Hardware

By End-User

  • Higher-Education Institutions
  • Education
  • Corporate Training

By Delivery Mode

  • Mobile Applications
  • Web-Based Platforms

By Region

  • North America
  • South America
  • Europe
  • Middle East and Africa
  • Asia Pacific

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Deep Learning
  • 5.3. Machine Learning
  • 5.4. Natural Language Processing
  • 5.5. Computer Vision

6. ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-Premise

7. ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION MARKET BY SOLUTION

  • 7.1. Introduction
  • 7.2. Software
  • 7.3. Services
  • 7.4. Hardware

8. ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION MARKET BY END-USER

  • 8.1. Introduction
  • 8.2. Higher-Education Institutions
  • 8.3. Education
  • 8.4. Corporate Training

9. ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION MARKET BY DELIVERY MODE

  • 9.1. Introduction
  • 9.2. Mobile Applications
  • 9.3. Web-Based Platforms

10. ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION MARKET BY GEOGRAPHY

  • 10.1. Introduction
  • 10.2. North America
    • 10.2.1. By Technology
    • 10.2.2. By Deployment
    • 10.2.3. By Solution
    • 10.2.4. By End-User
    • 10.2.5. By Delivery Mode
    • 10.2.6. By Country
      • 10.2.6.1. USA
      • 10.2.6.2. Canada
      • 10.2.6.3. Mexico
  • 10.3. South America
    • 10.3.1. By Technology
    • 10.3.2. By Deployment
    • 10.3.3. By Solution
    • 10.3.4. By End-User
    • 10.3.5. By Delivery Mode
    • 10.3.6. By Country
      • 10.3.6.1. Brazil
      • 10.3.6.2. Argentina
      • 10.3.6.3. Others
  • 10.4. Europe
    • 10.4.1. By Technology
    • 10.4.2. By Deployment
    • 10.4.3. By Solution
    • 10.4.4. By End-User
    • 10.4.5. By Delivery Mode
    • 10.4.6. By Country
      • 10.4.6.1. United Kingdom
      • 10.4.6.2. Germany
      • 10.4.6.3. France
      • 10.4.6.4. Spain
      • 10.4.6.5. Others
  • 10.5. Middle East and Africa
    • 10.5.1. By Technology
    • 10.5.2. By Deployment
    • 10.5.3. By Solution
    • 10.5.4. By End-User
    • 10.5.5. By Delivery Mode
    • 10.5.6. By Country
      • 10.5.6.1. Saudi Arabia
      • 10.5.6.2. UAE
      • 10.5.6.3. Others
  • 10.6. Asia Pacific
    • 10.6.1. By Technology
    • 10.6.2. By Deployment
    • 10.6.3. By Solution
    • 10.6.4. By End-User
    • 10.6.5. By Delivery Mode
    • 10.6.6. By Country
      • 10.6.6.1. China
      • 10.6.6.2. Japan
      • 10.6.6.3. India
      • 10.6.6.4. South Korea
      • 10.6.6.5. Taiwan
      • 10.6.6.6. Others

11. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 11.1. Major Players and Strategy Analysis
  • 11.2. Market Share Analysis
  • 11.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 11.4. Competitive Dashboard

12. COMPANY PROFILES

  • 12.1. Intel Corporation
  • 12.2. Microsoft Corporation
  • 12.3. Oracle Corporation
  • 12.4. IBM Corporation
  • 12.5. NVIDIA Corporation
  • 12.6. People.ai Inc
  • 12.7. Cisco Systems
  • 12.8. Verint Systems
  • 12.9. Salesforce
  • 12.10. Siemens AG

13. APPENDIX

  • 13.1. Currency
  • 13.2. Assumptions
  • 13.3. Base and Forecast Years Timeline
  • 13.4. Key benefits for the stakeholders
  • 13.5. Research Methodology
  • 13.6. Abbreviations