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市场调查报告书
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1574173

教育领域人工智慧市场－2024年至2029年预测

Artificial Intelligence in Education Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 117 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2024年教育领域人工智慧市场规模将达102.48亿美元。预计2029年市场规模将达434.67亿美元，复合年增长率高达33.51%。

基于人工智慧的解决方案和服务在教育领域有多种应用。其范围从提供知识到根据每个学生的表现量身定制学习体验。此外，人工智慧可用于策略性部署自适应辅导系统，以改善学习解决方案，并为教育领域的教育工作者和学生付加更好的价值。人工智慧主要与深度学习、机器学习和分析一起使用。此外，这些解决方案为所有学习者提供互动式学习体验，确保教育品质并支持学习者当前知识和技能的提升。

教育领域的人工智慧市场高度分散，大多数产业参与者在创新上处于领先地位。主要参与者正在采取一切策略来扩大其在区域和全球市场的影响力并占领大部分市场。这些市场参与者包括IBM、微软、Google等。

以智慧型设备的使用和各行业数位化标誌的数位技术的兴起，是人工智慧教育多元化的根本驱动力。此外，人工智慧解决方案提供个人化的学习体验，以满足每个使用者的需求。它预测学生的路径，提供学习轨迹，找出弱点，并允许学习者评估需要改进的领域。这将有助于增强学生的能力，并有望在预测期内推动人工智慧在教育市场的成长。

教育领域人工智慧市场驱动因素：

  • 人工智慧投资的增加预计将推动全球教育人工智慧市场的成长。

基于人工智慧的学习平台与教育领域的人工智慧投资直接相关。这项投资将有助于使教育更加复杂和个人化，随着学习中的个人主义变得越来越有效，这是必要的。人工智慧正在透过人工智慧主导的学习平台改变人们的学习方式。人工智慧主导的教育平台将重塑教育，创造终身学习的潜力，并开始证明人工智慧在教育领域的成长潜力。

这些努力包括加强各国对增强未来人工智慧劳动力能力的承诺，这与 Niti Aayog 国家人工智慧战略报告一致。例如，英国设定了在 2025 年培养 1000 多名政府支持的博士的目标，并宣布为早期人工智慧研究人员提供图灵奖学金。同时，中国于 2018 年 4 月启动了一项为期五年的大学计划，为至少 500 名教职人员和 5,000 名学生提供人工智慧技术教育。此外，政府和企业正在认识到人工智慧的重要性，并积极投资其潜力。

教育领域人工智慧市场地域展望：

  • 北美地区预计将在教育领域的人工智慧市场中占据主要份额。

北美教育市场对人工智慧的需求受到高教育娱乐渗透率以及公共和商业部门对人工智慧和教育科技投资增加的推动。此外，科技创新也促进了全球教育领域对人工智慧的需求。将人工智慧应用于教育将提高学者和教师的学习水平。它提供了诸如更好的可访问性、指导、自动评分和管理以及简化流程等优点。

此外，北美国家，特别是美国，越来越多地在学校和教育机构中利用智慧内容，因为它能够提供对教育部门至关重要的学习平台的见解。对人工智慧支援的个人化教育解决方案的需求进一步加剧了这种增长。这些解决方案有助于更深入地了解学生的兴趣、教育背景、未来的学术目标等，从而无法提供个人化服务。

为什么要购买这份报告？

  • 精闢的分析：
  • 。竞争格局：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户群、政府政策、社会经济因素、消费者偏好、产业和其他子区隔：
  • 市场驱动因素与未来趋势：
  • 可行的建议：
  • 迎合广泛的受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业来说有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业和市场考量、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
  • 区域收益成长和预测分析，包括细分市场和国家
  • 公司概况（特别是关键市场开拓）

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 教育领域人工智慧市场：依技术分类

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

第六章 教育领域人工智慧市场：依发展划分

  • 介绍
  • 云
  • 本地

第七章 教育领域人工智慧市场：按解决方案

  • 介绍
  • 软体
  • 服务
  • 硬体

第八章 教育领域人工智慧市场：依最终用户分类

  • 介绍
  • 车
  • 沟通
  • 製造业
  • 卫生保健
  • 其他的

第九章 教育领域人工智慧市场：分地区

  • 介绍
  • 北美洲
    • 依技术
    • 按发展
    • 按解决方案
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 依技术
    • 按发展
    • 按解决方案
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 依技术
    • 按发展
    • 按解决方案
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 依技术
    • 按发展
    • 按解决方案
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 依技术
    • 按发展
    • 按解决方案
    • 按最终用户
    • 按国家/地区

第十章竞争环境及分析

  • 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

第十一章 公司简介

  • Intel Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • IBM Corporation
  • NVIDIA Corporation
  • People.ai Inc
  • Cisco Systems
  • Verint Systems
  • Salesforce
  • Siemens AG
简介目录
Product Code: KSI061612924

Artificial intelligence in the education market is worth US$10.248 billion in 2024. It is projected to exhibit a remarkable CAGR of 33.51%, reaching a market value of US$43.467 billion by 2029.

AI-based solutions and services have various applications in education. These range from delivering knowledge to customizing learning experiences for each student based on their performance. Additionally, AI can be used to strategically deploy adaptive tutorial systems, improving learning solutions and adding better value for both educators and students in the education domain. AI mostly works on deep learning, machine learning, and analytics. Moreover, these solutions provide an interactive learning experience for every learner, guarantee the quality of education, and support learners in advancing their current knowledge and skills.

The market for AI in education is highly fragmented, with most industry players leading with innovations. Key players are expanding their presence in regional and global markets and adopting all strategies to acquire a large portion of the market. These market players include IBM, Microsoft, and Google, among others.

The rise of digital technology, marked by the use of smart devices and digitization across all verticals, is a fundamental driver for this diversification in AI-based education. Furthermore, AI solutions provide individualized learning experiences to meet the requirements of each user. They anticipate students' paths, proffer learning trajectories, pinpoint weaknesses, and leave learners to evaluate their areas in need of improvement. This helps in augmenting student capabilities, which are expected to foster AI in the education market's growth over the forecast period.

ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET DRIVERS:

  • Increasing investment in AI is anticipated to drive the growth of global AI in the education market.

AI-based Learning platforms are directly related to the investment in AI in the education sector. Its investment helps make education much more advanced and personalized, which is necessary with increasingly effective individualism in learning. AI is changing the way people learn using AI-driven learning platforms. The AI-driven educational platforms will start to remake education, create lifelong learning possibilities, and prove to be the positive growing potential of AI in education.

These efforts include increasing the commitments by countries to bolster the future AI workforce, consistent with a report from Niti Aayog National Strategy for Artificial Intelligence. For example, the UK has set a target to deliver more than 1,000 government-supported PhD researchers by 2025 and has announced Turing fellowships for early AI researchers. China, meanwhile, initiated a university project in April 2018 that ran for five years and educated at least 500 teachers and 5,000 students on AI tech. Further, national governments and corporations are realizing how important AI is and actively investing in its potential.

Artificial Intelligence In Education Market Geographical Outlook:

  • The North American region is expected to hold a significant artificial intelligence in education market share.

The demand for artificial intelligence in the education market in the North American region is driven by increased investments in AI and EdTech by the public and commercial sectors, along with high edutainment penetration. Further, technological innovation also contributes to promoting the demand for AI in education worldwide. The application of AI in education increases the learning standard for academics and instructors. It offers better accessibility, coaching, automatic grading and administration, and ease of process, amongst other benefits.

Moreover, countries in North America, especially the United States, are increasingly utilizing smart content in schools and educational institutions due to its capability to give insights about learning platforms, which are vital for the teaching sector. The demand for AI-supported, personalized education solutions further accentuates this growth. These solutions assist in understanding students more profoundly, their interests, educational background, and future academic goals, which makes them unable to provide personalized services.

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)

Market Segmentation:

The Artificial Intelligence In Education market is segmented and analyzed as below:

By Technology

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

By Deployment

  • Cloud
  • On-premise

By Solution

  • Software
  • Services
  • Hardware

By End-User

  • Automotives
  • Communications
  • Manufacturing
  • Healthcare
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Singapore
  • Indonesia
  • 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. 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 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 IN EDUCATION MARKET BY DEPLOYMENT

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

7. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY SOLUTION

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

8. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY END-USER

  • 8.1. Introduction
  • 8.2. Automotives
  • 8.3. Communications
  • 8.4. Manufacturing
  • 8.5. Healthcare
  • 8.6. Others

9. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Technology
    • 9.2.2. By Deployment
    • 9.2.3. By Solution
    • 9.2.4. By End-User
    • 9.2.5. By Country
      • 9.2.5.1. USA
      • 9.2.5.2. Canada
      • 9.2.5.3. Mexico
  • 9.3. South America
    • 9.3.1. By Technology
    • 9.3.2. By Deployment
    • 9.3.3. By Solution
    • 9.3.4. By End-User
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 9.4. Europe
    • 9.4.1. By Technology
    • 9.4.2. By Deployment
    • 9.4.3. By Solution
    • 9.4.4. By End-User
    • 9.4.5. By Country
      • 9.4.5.1. United Kingdom
      • 9.4.5.2. Germany
      • 9.4.5.3. France
      • 9.4.5.4. Italy
      • 9.4.5.5. Spain
      • 9.4.5.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. By Technology
    • 9.5.2. By Deployment
    • 9.5.3. By Solution
    • 9.5.4. By End-User
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
      • 9.5.5.2. UAE
      • 9.5.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. By Technology
    • 9.6.2. By Deployment
    • 9.6.3. By Solution
    • 9.6.4. By End-User
    • 9.6.5. By Country
      • 9.6.5.1. China
      • 9.6.5.2. Japan
      • 9.6.5.3. India
      • 9.6.5.4. South Korea
      • 9.6.5.5. Australia
      • 9.6.5.6. Singapore
      • 9.6.5.7. Indonesia
      • 9.6.5.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Intel Corporation
  • 11.2. Microsoft Corporation
  • 11.3. Oracle Corporation
  • 11.4. IBM Corporation
  • 11.5. NVIDIA Corporation
  • 11.6. People.ai Inc
  • 11.7. Cisco Systems
  • 11.8. Verint Systems
  • 11.9. Salesforce
  • 11.10. Siemens AG