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教育领域的人工智慧：2023 年至 2028 年的预测
市场调查报告书
商品编码
1410227

教育领域的人工智慧：2023 年至 2028 年的预测

Artificial Intelligence in Education - Forecasts from 2023 to 2028
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

价格
简介目录

2021年教育人工智慧市场规模达43.51亿美元。预计到 2028 年，其复合年增长率将达到 33.91%，市场规模将达到 336.01 亿美元。

在人工智慧教育领域，人工智慧驱动的解决方案和服务可用于传递知识，根据学生的表现对学生进行评估和分类，并实施智慧型辅导系统，以增强学生和教育工作者的学习旅程。各种角色。人工智慧在很大程度上依赖深度学习、机器学习和高级分析。此外，这些解决方案还提供量身定制的学习体验，确保一流的教育质量，并鼓励学习者在现有知识和技能的基础上继续发展。

教育人工智慧市场具有整合性强、竞争激烈的特性。主要参与者在区域和全球市场开展业务，并采取多种策略来增加市场占有率。该产业的主要竞争对手包括 IBM、微软和谷歌。

由于智慧型设备的普及和各领域的数位化趋势，人工智慧在教育环境中的日益采用。此外，人工智慧解决方案可适应个人用户的需求并提供量身定制的学习体验。它预测学习者的路径，提案学习轨迹，识别薄弱领域，并允许学习者评估需要改进的领域，最终提高学习者的表现。

人工智慧投资增加推动市场成长

对人工智慧的投资正在推动基于人工智慧的学习平台的成长。这些投资支持开发先进、个人化和有效的教育解决方案，以满足对高效和客製化学习体验不断增长的需求。人工智慧主导的学习平台正在再形成教育，提供终身学习机会，反映人工智慧在教育领域的变革力量。根据 Niti Aayog 的《2021 年人工智慧国家战略报告》，各国正加紧努力塑造未来的人工智慧劳动力。例如，英国的目标是到 2025 年创建 1000 多个政府支持的博士后研究职位，并为早期人工智慧研究员推出了图灵奖学金。同时，中国推出了一项为期五年的大学计划，培养至少 500 名教育工作者和 5,000 名专门从事人工智慧技术的学生。值得注意的是，不仅政府，企业也认识到人工智慧的重要性和潜力，并承诺对其进行投资。

市场驱动因素

根据《我们的数据世界》2022年数据显示，企业对人工智慧的投资大幅增加，私人投资大幅增加850.5亿美国。其次是 771.7 亿美元的併购，以及 57.4 亿美元的首次公开发行。少数股权投资额达 75.7 亿美元，凸显了该公司对利用人工智慧技术潜力（特别是透过私人融资）的坚定承诺。

此外，人工智慧驱动的教育游戏的整合预计将推动这些解决方案在 K-12 教育领域的采用。这种互动式学习方法增强了学生体验，并帮助教育工作者提供更好的学习体验。在最近的事态发展中，美国教育部发起了一项重大倡议，以加强 K-12 网路安全弹性。这包括成立政府协调委员会（GCC）以及出版三份K-12数位基础设施简报，其中包括旨在帮助改善K-12教育的K-12数位基础设施简报，旨在加强网路安全弹性社群并彙聚各行各业的相关人员。

预计北美市场占有最大份额

由于公共和商业部门对人工智慧和教育科技的投资增加以及教育娱乐普及率不断上升等因素，北美教育领域对人工智慧 (AI) 的需求不断增长。全球教育对人工智慧的需求也受到技术创新的推动。

智慧内容在学校和其他教育机构中越来越受欢迎，因为它可以帮助教师更好地了解学习平台，从而在教育过程中发挥重要作用。对人工智慧支援的个人化教育解决方案的需求也是推动市场成长的因素之一。透过更了解学生、他们的兴趣、教育背景和学术目标，这些解决方案有助于创造个人化体验。

人工智慧在教育中的应用改善了学生和教师的学习环境。提高可访问性、辅导、自动化评分和管理以及简化流程只是人工智慧可以带来的一些好处。根据国家教育统计中心的数据，在美国，私立营利性机构参加四年制学位课程远端教育的大学部学生比例最高，为 71%，而公立和私立非营利组织的比例均为 20%。机构..

美国普通医学科学研究所 (NIGMS) 正在部署自然语言处理 (NLP) 和机器学习 (ML)，以自动津贴拨款申请和内部查询。这项新策略可确保高效且一致的津贴申请转介，使专案经理免于耗时且繁琐的转介程序。

市场主要发展

  • 2023 年 8 月，专门从事 K-5 数学和阅读的线上家教课程提供者 eSpark 宣布推出 Choice Texts，这是一种革命性的个体化阅读教学方法。这种开创性的方法利用人工智慧让学生能够做出独立选择并探索他们在阅读领域的独特兴趣。
  • 2023 年 8 月，Meta 发布了 SeamlessM4T，这是一种用于语音和文字翻译的多模式 AI 模型。它可以执行多达 100 种语言的语音到文字、语音到语音、文字到文字和文字到文字翻译，具体取决于具体任务。这些进步凸显了人工智慧在教育、满足多元需求和改善学习体验方面的作用不断扩大。
  • 2023年6月，微软宣布了AI技能计划，旨在使世界和社群能够利用AI的潜力。该计划包括与 LinkedIn 合作开发的免费课程以及与 data.org 的津贴挑战，以培育创新方法来培训、提高和再培训员工的生成式 AI 待办事项。
  • 2023年9月，安永斥资14亿美元推出EY.ai平台。透过将人类专业知识与人工智慧相结合，该平台使客户能够自信且负责任地将人工智慧融入其业务转型中。 EY.ai利用安永先进的技术平台、人工智慧能力以及在策略、交易、转型、风险、保障、税务等方面的丰富经验，并由强大的人工智慧生态系统提供支援。
  • 2023 年 9 月，IBM 承诺在未来三年内为 200 万人提供人工智慧培训。 IBM 将透过与大学的全球合作、培训 AI 成人学习者的伙伴关係以及在 IBM SkillsBuild 中引入创新的生成式 AI 课程来实现这一目标。
  • 2020 年 5 月，Jenzabar Unity 平台是一个整合的、高度扩充性的平台即服务(iPaaS) 解决方案，旨在提高营运效率并减少跨校园应用程式连接的技术障碍。 Jenzabar 是一家领先的高等教育创新公司，为新生提供服务。 Jenzabar Unity 平台使企业能够使用集中、安全、云端基础的平台和不断扩展的开箱即用 (OOB) 连接器集来建立自订应用程式介面 (API)。
  • 2023 年 4 月，提供学生优先的连网型学习平台的 Chegg, Inc. 表示，OpenAI 的尖端模型 GPT-4 用于开发 CheggMate，这是一种新的人工智慧驱动的学习服务。 CheggMate 是一款 AI 对话式学习伴同性，利用 Chegg 业界领先的个人化学习平台、专有资料集以及 GPT4-4 的尖端问题解决能力，帮助学生变得比以往更有效率和准确。我们让学习成为可能即时的。

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

第二章调查方法

  • 研究设计
  • 调查资料
  • 检验

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
  • 产业价值链分析

第五章：透过提供：教育领域的人工智慧市场

  • 介绍
  • 解决方案
  • 服务

第六章 依科技分类​​：教育领域的人工智慧市场

  • 介绍
  • 深度学习
  • 机器学习
  • 自然语言处理

第 7 章：按最终用户划分：教育领域的人工智慧市场

  • 介绍
  • 学术学习
    • K-12教育
    • 高等教育
  • 企业学习

第八章 按地区划分：教育人工智慧市场

  • 介绍
  • 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
    • 义大利
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 以色列
    • 其他的
  • 亚太地区
    • 中国
    • 日本
    • 韩国
    • 印度
    • 台湾
    • 泰国
    • 印尼
    • 其他的

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
  • 供应商竞赛矩阵

第十章 公司简介

  • IBM Corporation
  • Amazon Web Services Inc.
  • Microsoft
  • Google LLC
  • AI Brain Inc.
  • Cognizant
  • Nuance Communications, Inc.
  • Dailo
  • Cognii, Inc
简介目录
Product Code: KSI061612924

Artificial intelligence in the education market was worth US$4.351 billion in 2021. It is projected to exhibit a remarkable CAGR of 33.91%, reaching a market value of US$33.601 billion by 2028.

In the realm of AI in education, AI-powered solutions and services serve diverse roles, including delivering knowledge, assessing and categorizing students based on their performance, and deploying intelligent tutorial systems to enhance the learning journey for both students and educators. Artificial intelligence relies significantly on deep learning, machine learning, and advanced analytics. Moreover, these solutions deliver a tailored learning experience, ensuring top-notch education quality and facilitating learners in building upon their existing knowledge and skills.

Artificial intelligence in the education market is characterized by strong consolidation and intense competition. Key players operate both in regional and global markets and employ diverse strategies to expand their market share. Some of the prominent competitors in the industry include IBM, Microsoft, Google, and others.

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. They predict student paths, suggest learning trajectories, identify areas of weakness, and empower learners to assess their improvement areas, ultimately enhancing their capabilities

Rising investment in artificial intelligence is fueling the market growth

The Investment in artificial intelligence is a catalyst for the growth of AI-based learning platforms. These investments empower the development of advanced, personalized, and effective educational solutions, meeting the rising demand for efficient and tailored learning experiences. AI-driven learning platforms are reshaping education, providing lifelong learning opportunities, and reflecting the transformative power of AI in education. Countries are intensifying their commitment to shaping the AI workforce of the future, in line with the Niti Aayog National Strategy for Artificial Intelligence report from 2021. For example, the U.K. aims to establish more than 1,000 government-backed PhD researchers by 2025 and is initiating a Turing fellowship for early AI fellows. Meanwhile, China has launched a five-year university initiative to educate a minimum of 500 educators and 5,000 students focused on AI technologies. Notably, not only national governments but also corporations are increasingly recognizing the significance and potential of AI and have pledged investments.

Market drivers

According to the Our World in Data in 2022, the data indicates a substantial corporate investment in artificial intelligence, with private investments leading at a significant 85.05 billion US dollars. This is closely followed by mergers and acquisitions at 77.17 billion, while public offerings represent a smaller share at 5.74 billion. Minority stakes round out the investment types at 7.57 billion, emphasizing the strong commitment of corporations to harness the potential of AI technologies, particularly through private funding.

Additionaly, the integration of AI-powered educational games is anticipated to drive the adoption of these solutions in the K-12 education sector. This interactive learning approach enhances the student experience and assists educators in providing better learning experiences. In a recent development, the U.S. Department of Education has launched key initiatives to enhance K-12 cybersecurity resilience. These include the establishment of a Government Coordinating Council (GCC) and the release of three K-12 Digital Infrastructure briefs, such as "K-12 Digital Infrastructure Brief: Defensible and Resilient." These efforts aim to strengthen cybersecurity resilience in the K-12 education community and bring together stakeholders from various sectors.

North America is predicted to hold the largest market share for the market

The need for artificial intelligence (AI) in education in the North American region is being driven by factors including rising investments in AI and EdTech by the public and commercial sectors, as well as rising edutainment penetration. The need for AI in education globally is also being fueled by technological innovation.

Smart content is gaining popularity in schools and other educational institutions because it helps teachers better understand learning platforms, which in turn plays a significant role in the teaching process. The demand for personalized education solutions supported by AI is another factor driving market growth. By aiding in a better understanding of students, their interests, educational history, and academic objectives, these solutions help to produce a personalized experience.

The use of AI in education improves the learning environment for both students and teachers. Improved accessibility, coaching, automated grading and administration, and simplified processes are just a few advantages it provides. According to the National Center for Education Statistics, the percentage of undergraduate students in the USA who participated in distance education for 4-year degree programs was highest for private for-profit organizations which made up 71%, whereas for both public and private non-profit organizations was 20%.

The National Institute of General Medical Sciences (NIGMS), has implemented Natural Language Processing (NLP) and Machine Learning (ML) to automate the procedure for receiving and internally referring grant applications. Program Managers are freed from the time-consuming and monotonous referral procedure owing to this new strategy, which guarantees efficient and consistent grant application referrals.

Market Key Developments

  • In August 2023, eSpark, an online supplemental curriculum provider specializing in K-5 math and reading, unveiled Choice Texts, a groundbreaking approach to personalized reading instruction. This pioneering method harnesses artificial intelligence to empower students, enabling them to make independent choices and explore their unique interests in the realm of reading .
  • In August 2023, Meta introduced SeamlessM4T, a Multimodal AI Model for Speech and Text Translations, capable of performing speech-to-text, speech-to-speech, text-to-speech, and text-to-text translations in up to 100 languages, depending on the specific task. These advancements underscore the growing role of AI in the education sector, addressing diverse needs and enhancing the learning experience.
  • In June 2023, Microsoft unveiled its AI Skills Initiative, aimed at enabling global communities to harness the potential of AI. This initiative includes free coursework developed in collaboration with LinkedIn and a grant challenge with data.org, promoting innovative ways to train, upskill, and reskill workers in generative AI.
  • In September 2023, EY introduced the EY.ai platform, backed by a substantial $1.4 billion investment. This platform combines human expertise with artificial intelligence to empower clients to confidently and responsibly integrate AI into their business transformations. EY.ai harnesses advanced EY technology platforms, AI capabilities, and extensive experience in areas such as strategy, transactions, transformation, risk, assurance, and taxation, all fortified by a robust AI ecosystem.
  • In September 2023, IBM has pledged to provide AI training to 2 million individuals over the next three years, with a particular emphasis on underrepresented communities. IBM will achieve this objective through worldwide collaborations with universities, partnerships for AI training among adult learners, and the introduction of innovative generative AI courses within IBM SkillsBuild
  • In May 2020, the Jenzabar Unity Platform was a unified, highly scalable integration platform-as-a-service (iPaaS) solution created to increase operational efficiency and lower the technical barriers involved in connecting campus-wide applications. Jenzabar is a leading technology innovator in higher education serving new students. The Jenzabar Unity Platform gives businesses the ability to create custom application programming interfaces (APIs) using a centralized, secure cloud-based platform and an ever-expanding set of out-of-the-box (OOB) connectors.
  • In April 2023, the most cutting-edge model of OpenAI, GPT-4, was used to create CheggMate, a new AI-enhanced learning service, according to Chegg, Inc., the premier student-first connected learning platform. CheggMate, an AI conversational learning companion, made use of Chegg's industry-leading personalized learning platform, proprietary data set, and GPT4 -4's cutting-edge problem-solving capabilities to empower students to learn in real-time more efficiently and accurately than ever.

Segmentation:

By Offering

  • Solutions
  • Services

By Technology

  • Deep Learning
  • Machine Learning
  • Natural Language Processing

By End-Users

  • Academic Learning
  • K-12 Education
  • Higher Education
  • Corporate Learning

By Geography

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

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Data
  • 2.3. Validation

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

5. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY OFFERING

  • 5.1. Introduction
  • 5.2. Solutions
  • 5.3. Services

6. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Deep Learning
  • 6.3. Machine Learning
  • 6.4. Natural Language Processing

7. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY END USERS

  • 7.1. Introduction
  • 7.2. Academic Learning
    • 7.2.1. K-12 Education
    • 7.2.2. Higher Education
  • 7.3. Corporate Learning

8. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET, BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Italy
    • 8.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. South Korea
    • 8.6.4. India
    • 8.6.5. Taiwan
    • 8.6.6. Thailand
    • 8.6.7. Indonesia
    • 8.6.8. 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. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. IBM Corporation
  • 10.2. Amazon Web Services Inc.
  • 10.3. Microsoft
  • 10.4. Google LLC
  • 10.5. AI Brain Inc.
  • 10.6. Cognizant
  • 10.7. Nuance Communications, Inc.
  • 10.8. Dailo
  • 10.9. Cognii, Inc