封面
市場調查報告書
商品編碼
1697420

教育市場中的人工智慧(AI):未來預測(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個工作天內

價格
簡介目錄

預計 2025 年教育人工智慧 (AI) 市場價值將達到 189.24 億美元,預計年複合成長率為 20.77%,到 2030 年市場規模將達到 486.26 億美元。

智慧型設備的廣泛使用和各領域的數位化趨勢推動了人工智慧(AI)在教育領域的應用日益廣泛。人工智慧解決方案還提供根據每個使用者的需求量身定做的學習體驗。人工智慧技術的不斷進步,以及政府各項措施的支持,正在推動教育人工智慧 (AI) 市場的發展。

市場趨勢:

  • 人工智慧技術投資激增刺激市場擴張:在各種政府措施的推動下,市場參與企業正在增加對人工智慧技術的投資。這正在激發人工智慧技術的創新,促進其與教育的融合,並推動市場成長。例如,歐盟於2020年推出了《數位教育行動計畫(2021-2027年)》,致力於在整個歐洲推廣優質、包容和可及的數位教育。該計劃將有助於教育和培訓系統適應數位時代,並大大加快人工智慧在教育領域的應用。
  • 針對每個學生的優勢和劣勢進行個人化、適應性學習的需求日益成長,推動了自訂教育方法的需求。
  • 人工智慧結合對個人需求和偏好的洞察,調整學習方式並為每個學生設計量身定做的學習路徑。
  • 亞太地區:受印度和中國等國家經濟擴張等因素的推動,亞太地區預計將見證AI教育市場的顯著成長。這種經濟成長得到了政府鼓勵進一步數位化的政策和措施的支持。到預測期結束時,亞太地區預計將佔據相當大的市場佔有率並保持強勁的成長軌跡。
  • 北美:北美預計將在全球教育人工智慧市場中佔據突出佔有率,這得益於其在教育中採用人工智慧所需的先進基礎設施和資源。此外,該地區精通科技的人口樂於接受人工智慧主導的教育技術,進一步推動市場成長。

報告中介紹的主要企業包括 IBM、微軟和Google。

本報告的主要優點

  • 深刻分析:獲得涵蓋主要地區和新興地區的深入市場洞察,重點關注客戶群、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔。
  • 競爭格局:了解全球主要企業所採用的策略策略,並了解正確策略帶來的潛在市場滲透。
  • 市場促進因素和未來趨勢:探索動態因素和關鍵市場趨勢以及它們將如何影響市場的未來發展。
  • 可行的建議:利用洞察力進行策略決策,在動態環境中開闢新的業務流和收益。
  • 適用範圍廣:對於新興企業、研究機構、顧問公司、中小企業和大型企業來說,它都是實用且具有成本效益的。

它有什麼用途?

產業與市場洞察、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料與預測(2022-2030)
  • 歷史資料(2022-2024)和預測資料(2025-2030)
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 按部門和地區(國家)分類的收益成長和預測分析
  • 公司概況(策略、產品、財務資訊、主要趨勢等)

教育人工智慧(AI)市場細分為:

依技術

  • 深度學習
  • 機器學習
  • 自然語言處理
  • 電腦視覺

依部署方式

  • 本地

按解決方案

  • 軟體
  • 服務
  • 硬體

按最終用戶

  • 高等教育
  • 教育機構
  • 企業培訓

按配送方式

  • 行動應用程式
  • 網路為基礎的平台

按地區

  • 北美洲
  • 南美洲
  • 歐洲
  • 中東和非洲
  • 亞太地區

目錄

第1章 引言

  • 市場概覽
  • 市場定義
  • 分析範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章分析方法

  • 分析設計
  • 分析過程

第3章執行摘要

  • 主要發現

第4章 市場動態

  • 市場促進因素
  • 市場限制
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章人工智慧(AI)教育市場(按技術)

  • 介紹
  • 深度學習
  • 機器學習
  • 自然語言處理
  • 電腦視覺

第6章教育人工智慧(AI)市場(以部署方式)

  • 介紹
  • 本地

第7章. 教育人工智慧 (AI) 市場(按解決方案)

  • 介紹
  • 軟體
  • 服務
  • 硬體

第8章教育市場中的人工智慧(AI)終端用戶

  • 介紹
  • 高等教育
  • 教育
  • 企業培訓

第9章人工智慧(AI)教育市場(以交付方式)

  • 介紹
  • 行動應用程式
  • 網路為基礎的平台

第10章. 按地區分類的教育市場人工智慧(AI)

  • 介紹
  • 北美洲
    • 依技術
    • 依部署方式
    • 按解決方案
    • 按最終用戶
    • 按配送方式
    • 按國家
  • 南美洲
    • 依技術
    • 依部署方式
    • 按解決方案
    • 按最終用戶
    • 按配送方式
    • 按國家
  • 歐洲
    • 依技術
    • 依部署方式
    • 按解決方案
    • 按最終用戶
    • 按配送方式
    • 按國家
  • 中東和非洲
    • 依技術
    • 依部署方式
    • 按解決方案
    • 按最終用戶
    • 按配送方式
    • 按國家
  • 亞太地區
    • 依技術
    • 依部署方式
    • 按解決方案
    • 按最終用戶
    • 按配送方式
    • 按國家

第11章競爭格局及分析

  • 主要企業和策略分析
  • 市場佔有率分析
  • 企業合併、協議、商業合作
  • 競爭儀錶板

第12章 公司簡介

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

第13章 附錄

  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益
  • 分析方法
  • 簡稱
簡介目錄
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