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市场调查报告书
商品编码
1604526

教育科技领域的人工智慧市场：未来预测（2024-2029）

AI in the Edtech Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 145 Pages | 商品交期: 最快1-2个工作天内

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简介目录

教育科技市场的人工智慧预计将以 52.93% 的复合年增长率成长，从 2024 年的 106.05 亿美元增加到 2029 年的 329.1 亿美元。

在教育科技领域，人工智慧（AI）在科技发展中发挥重要作用。在这个领域，人工智慧提供了多种应用，包括个人化学习方案和智慧辅导系统等各种好处，可以为使用者提供更好的课程方案。基于人工智慧的工具和平台还可以自动执行评分和评估功能，并具有自适应学习平台、虚拟课堂辅助工具和教育资料分析等功能。

教育科技平台提供使用多种工具的各种关键组件，例如自适应学习系统、智慧辅导系统 (ITS)、自然语言处理和机器学习 (ML)。自我调整学习系统使用人工智慧演算法根据每个学生的需求、偏好和风格来个人化学习体验，改变节奏、材料和教学方式，以最大限度地提高学习效率。

智慧辅导系统利用人工智慧为学生提供类似人类教师提供的个人化辅导和回馈。我们也分析绩效资料，以确定优势和劣势，并提供学习介入措施。机器学习技术允许电脑从资料中学习并做出预测和决策，而无需明确编程。在教育科技中，机器学习用于个人化推荐系统、预测分析、内容客製化等。

教育科技领域人工智慧市场的驱动因素

  • 全球教育科技领域增加投资机会

政府机构和私人组织增加对全球教育科技产业发展的投资预计将推动全球人工智慧在教育科技市场的发展。

全球市场对教育科技领域的投资策略大幅增加，包括世界各国政府推出重要政策与策略。

例如，在印度，政府推出了两项基于人工智慧的关键政策，“为印度製造人工智慧”和“让人工智慧为印度服务”，以永续和尖端技术，包括教育。政府已在 2024-25 年中期预算中为此任务拨款约 25.5 亿印度卢比。政府也引进100%外资投资教育科技和教育机构，以促进国内教育科技领域的创新。

教育科技市场的地域展望

  • 预计北美将占据教育科技市场人工智慧的主要份额。

包括Google、微软、Magicedtech和亚马逊在内的北美教育科技生态系统正在推动人工智慧等创新技术的发展。硅谷的这种创造力和创业文化很可能会改善学校、大学和虚拟学习环境的学习体验，并对人工智慧在教育中的应用产生重大影响。

由于其在技术创新方面的领先地位、强大的生态系统协作、资金筹措可用性、有利的法律规范以及对数位学习解决方案不断增长的需求，北美在教育科技市场中占有重要份额。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 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未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 收益成长和预测部分以及包括国家在内的区域分析
  • 公司概况（尤其是关键发展）

教育科技市场的人工智慧分为以下几个部分：

按最终用户

  • 学生
  • 老师
  • 监护人
  • 教育机构

按发展

  • 云
  • 本地

按用途

  • 内容创作
  • 个人化学习
  • 手术
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 德国
  • 法国
  • 英国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 印尼
  • 台湾
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 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

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

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

第五章 教育科技中的人工智慧市场：依最终用户划分

  • 介绍
  • 学生
  • 老师
  • 监护人
  • 教育机构

第六章教育科技领域的人工智慧市场：依部署划分

  • 介绍
  • 云
  • 本地

第七章 教育科技领域的人工智慧市场：依应用分类

  • 介绍
  • 内容创作
  • 个人化学习
  • 手术
  • 其他的

第八章教育科技领域的人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区
  • 南美洲
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区
  • 欧洲
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Google
  • Microsoft
  • Magicedtech
  • Amazon
  • Intel Corporation
  • IBM
  • Century
  • Querium
  • Cognii, Inc.
  • Infosys Limited
  • OpenAI
  • Springs
简介目录
Product Code: KSI061616765

The AI in the edtech market is estimated to grow at a CAGR of 52.93% to attain US$32.910 billion in 2029, increasing from US$10.605 billion in 2024.

In the edtech or educational technology sector, artificial intelligence (AI) plays a critical role in technology development. In this sector, AI offers multiple applications, including various benefits, like personalized learning programs and intelligent tutoring systems that can offer users better curriculum programs. The AI-based tools and platforms can also automate grading and assessment features, and they also have the capability of adaptive learning platforms, virtual classroom aides, and educational data analytics.

The AI in the edtech platform offers various key components that use multiple tools like Adaptive Learning Systems, Intelligent Tutoring Systems (ITS), Natural Language Processing, and Machine Learning (ML). Adaptive Learning Systems use AI algorithms to personalize learning experiences to individual students' requirements, preferences, and styles, altering pace, material, and instruction delivery to maximize learning results.

Intelligent Tutoring Systems use artificial intelligence to deliver personalized coaching and feedback to students, much like a human teacher would. They analyze performance data to identify strengths and shortcomings and then provide tailored learning interventions. ML technologies enable computers to learn from data and make predictions or decisions without explicit programming. In EdTech, ML is used for personalized recommendation systems, predictive analytics, and content customization.

AI in the Edtech market drivers

  • Increasing investment opportunities in the global Edtech sector

The rising investments by governmental and private organizations for developing the global edtech sector are estimated to propel global AI in the edtech market.

The global market witnessed a significant increase in investment strategies in the educational technology sector, including the introduction of key policies and strategies by the governments of various countries worldwide.

For instance, in India, the government introduced two key AI-based policies, Make AI for India and Make AI Work for India, aimed at creating sustainable and state-of-the-art AI technological development across the nation in multiple sectors, including education. The government allocated about INR 255 crore for the interim budget 2024-25 towards this mission. The government also introduced 100% foreign investment in education technology and institutions to boost the innovation of the edtech sector in the nation.

AI in the Edtech market geographical outlook

  • North America is forecasted to hold a major share of the AI in the Edtech market.

The North American EdTech ecosystem, which includes Google, Microsoft, Magicedtech, and Amazon, is promoting the development of innovative technologies such as AI. This culture of creativity and entrepreneurship in Silicon Valley is likely to substantially impact the application of AI in education, improving learning experiences in schools, universities, and virtual learning environments.

North America's considerable share of AI in the EdTech market is due to its leadership in technological innovation, strong ecosystem collaboration, financing availability, a favorable regulatory framework, and rising demand for digital learning solutions.

Reasons for buying 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, 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 up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision 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 & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, 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)

The AI in the Edtech market is analyzed into the following segments:

By End-Users

  • Students
  • Teachers
  • Parents
  • Institutions

By Deployment

  • Cloud
  • On-Premise

By Application

  • Content creation
  • Personalized Learning
  • Operations
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • UK
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

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. The 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. AI IN THE EDTECH MARKET BY END-USERS

  • 5.1. Introduction
  • 5.2. Students
  • 5.3. Teachers
  • 5.4. Parents
  • 5.5. Institutions

6. AI IN THE EDTECH MARKET BY DEPLOYMENT

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

7. AI IN THE EDTECH MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Content creation
  • 7.3. Personalized Learning
  • 7.4. Operations
  • 7.5. Others

8. AI IN THE EDTECH MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By End-users
    • 8.2.2. By Deployment
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. United States
      • 8.2.4.2. Canada
      • 8.2.4.3. Others
  • 8.3. South America
    • 8.3.1. By End-users
    • 8.3.2. By Deployment
    • 8.3.3. By Application
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By End-users
    • 8.4.2. By Deployment
    • 8.4.3. By Application
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By End-users
    • 8.5.2. By Deployment
    • 8.5.3. By Application
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Israel
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By End-users
    • 8.6.2. By Deployment
    • 8.6.3. By Application
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. Australia
      • 8.6.4.5. South Korea
      • 8.6.4.6. Indonesia
      • 8.6.4.7. Taiwan
      • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Google
  • 10.2. Microsoft
  • 10.3. Magicedtech
  • 10.4. Amazon
  • 10.5. Intel Corporation
  • 10.6. IBM
  • 10.7. Century
  • 10.8. Querium
  • 10.9. Cognii, Inc.
  • 10.10. Infosys Limited
  • 10.11. OpenAI
  • 10.12. Springs