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市场调查报告书
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1822530

2032 年教育市场产生人工智慧预测：按部署模式、应用程式、最终用户和地区进行的全球分析

Generative AI in Education Market Forecasts to 2032 - Global Analysis By Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球教育生成人工智慧市场规模预计在 2025 年达到 93 亿美元，到 2032 年将达到 669 亿美元，预测期内的复合年增长率为 32.5%。

教育市场中的生成式人工智慧 (Generative AI) 包括由人工智慧主导的工具和平台，用于产生个人化学习内容、评估、模拟和虚拟导师。它使教育工作者能够创建自适应课程、自动化评分，并透过人工智慧生成的文本、多媒体和问题解决资源来支持学生参与。由于大规模语言模型的进步、个人化学习的需求以及数位教育的扩展，生成式人工智慧的应用正在不断增加。该市场涵盖 K-12、高等教育和企业学习，旨在实现经济高效、可扩展且数据驱动的教育体验，同时提升学习成果和效率。

根据史丹佛大学以人为本的人工智慧研究所的数据，超过 30% 的美国教室使用 ChatGPT 和 Copilot 等生成式人工智慧工具来支援个人化学习和内容创作。

简化内容创建

生成式人工智慧透过自动化开发个人化学习材料、评估和回馈，显着提升了教育内容的创作能力。这种自动化减少了教育工作者在行政管理上花费的时间，使他们能够更专注于教学和学生参与。此外，人工智慧主导的内容能够适应个人的学习风格和学习进度，从而促进更有效、更包容的教育。人工智慧生成内容的扩充性和适应性进一步支持多样化的学习环境，使教育更加便利有效率。

道德问题

生成式人工智慧与教育的整合引发了重大的伦理问题，包括资料隐私、演算法偏见和滥用的可能性。教育机构必须确保人工智慧系统的透明度、公平性和课责，以维护学习环境中的信任和公平性。此外，对人工智慧的依赖可能会导致人类对教育过程的监督减少，从而可能损害教育的品质和完整性。解决这些伦理问题对于负责任地在教育领域采用人工智慧技术至关重要。

终身学习

生成式人工智慧透过提供个人化、按需的教育资源，为促进终身学习提供了巨大的机会，无论个人处于人生的哪个阶段，都可以存取这些资源。基于人工智慧的平台可以适应学习者不断变化的需求，并提供客製化内容，支援持续的技能发展和知识获取。这种适应性在快节奏、持续教育至关重要的行业中尤其有益。透过促进个人化学习旅程，人工智慧可以赋能个人在传统环境之外寻求教育，并培养终身学习的文化。

就业转型

生成式人工智慧在教育领域的广泛应用对传统的教育角色构成了威胁，尤其是行政和教学支援职能。能够自动评分、创建内容和辅导的人工智慧系统可能会减少某些领域对人类教育工作者的需求。这种转变可能会导致就业竞争加剧，并要求教育专业人士重新学习技能，以适应人工智慧技术驱动的新角色。平衡技术进步与劳动力发展对于减轻潜在的负面影响至关重要。

COVID-19的影响：

随着教育机构向远距学习转型，新冠疫情加速了生成式人工智慧在教育领域的应用。人工智慧技术促进了虚拟教室、个人化学习体验和自动化管理流程的创建，确保了停课期间教育的连续性。然而，这种快速的转变凸显了技术取得的不平等，并引发了人们对数位落差的担忧。疫情过后，人工智慧的整合将继续重塑教育实践，凸显了在人工智慧实施过程中公平获取和伦理考量的重要性。

预计云端基础解决方案领域将成为预测期内最大的领域

预计云端基础方案凭藉其扩充性、灵活性和成本效益，将在预测期内占据最大的市场份额。这些解决方案使教育机构无需大量的领先基础设施投资即可采用人工智慧工具，使先进技术更容易普及。云端平台也支援即时更新和协作，从而提升学习体验。云端服务在教育领域的广泛应用预计将进一步推动该领域的成长，并成为市场扩张的关键驱动力。

预计人工智慧辅导系统领域在预测期内将以最高复合年增长率成长

预计人工智慧辅导系统领域将在预测期内实现最高成长率。这些系统提供个人化、随选辅导，适应学生的个人学习风格和学习进度，为学生提供有针对性的支援。日益增长的个人化教育需求以及主导辅导解决方案的扩充性推动了这一快速成长。随着教育机构努力提高学生学习成果，人工​​智慧辅导系统正成为现代学习环境的重要组成部分。

比最大的地区

在预测期内，北美预计将占据最大的市场份额，这得益于其对教育科技的大量投资和人工智慧的广泛应用。该地区领先的人工智慧解决方案供应商和教育机构的存在促进了创新，并加速了人工智慧工具在教育领域的应用。此外，政府的支持性政策和强大的数位基础设施也有助于北美在教育人工智慧市场中保持领先地位。

复合年增长率最高的地区：

预计亚太地区将在预测期内实现最高的复合年增长率。快速数位化、政府推动人工智慧应用的倡议以及庞大的学生群体等因素正在推动对人工智慧教育解决方案的需求。中国、印度和日本等国家正大力投资人工智慧研发，使该地区成为人工智慧教育领域的关键成长区域。对个人化学习的日益关注也进一步推动了这一成长轨迹。

提供免费客製化：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球教育生成式人工智慧市场（依部署模式）

  • 云端基础的解决方案
  • 本地解决方案

6. 全球教育生成人工智慧市场（按应用）

  • 个人化学习
  • 自适应学习系统
  • 人工智慧个人化辅导系统
  • 内容创作与课程开发
  • 评估和回馈机制

7. 全球教育市场生成式人工智慧（依最终用户划分）

  • K-12教育
  • 高等教育机构
  • 企业培训与发展
  • 政府和非政府组织

8. 全球教育生成人工智慧市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第九章：主要进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十章：企业概况

  • Amazon Web Services, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Pearson PLC
  • BridgeU
  • DreamBox Learning, Inc.
  • Carnegie Learning, Inc.
  • Fishtree Inc.
  • Anthology Inc.
  • Squirrel AI Learning
  • Cognii Inc.
  • Nuance Communications, Inc.
  • Blippar
  • Century Tech
  • Querium Corporation
  • HowNow
  • KidSense.ai
  • Practically
  • Docebo Inc.
Product Code: SMRC31285

According to Stratistics MRC, the Global Generative AI in Education Market is accounted for $9.3 billion in 2025 and is expected to reach $66.9 billion by 2032 growing at a CAGR of 32.5% during the forecast period. The Generative AI in Education market involves AI-driven tools and platforms that generate personalized learning content, assessments, simulations, and virtual tutors. It empowers educators to create adaptive curricula, automate grading, and support student engagement through AI-generated text, multimedia, and problem-solving resources. Adoption is rising due to advancements in large language models, demand for individualized learning, and digital education expansion. The market spans K-12, higher education, and corporate learning, enabling cost-effective, scalable, and data-driven educational experiences while improving learning outcomes and efficiency.

According to Stanford's Human-Centered AI Institute, generative AI tools like ChatGPT and Copilot are being used in over 30% of U.S. classrooms, aiding in personalized learning and content creation.

Market Dynamics:

Driver:

Efficiency in Content Creation

Generative AI significantly enhances content creation in education by automating the development of personalized learning materials, assessments, and feedback. This automation reduces the time educators spend on administrative tasks, allowing them to focus more on teaching and student engagement. Additionally, AI-driven content can be tailored to individual learning styles and paces, promoting more effective and inclusive education. The scalability and adaptability of AI-generated content further support diverse learning environments, making education more accessible and efficient.

Restraint:

Ethical Concerns

The integration of generative AI in education raises significant ethical issues, including data privacy, algorithmic bias, and the potential for misuse. Educational institutions must ensure that AI systems are transparent, fair, and accountable to maintain trust and equity in learning environments. Moreover, the reliance on AI could lead to the erosion of human oversight in educational processes, potentially compromising the quality and integrity of education. Addressing these ethical concerns is crucial for the responsible adoption of AI technologies in education.

Opportunity:

Lifelong Learning

Generative AI presents a substantial opportunity for promoting lifelong learning by providing personalized, on-demand educational resources accessible to individuals at any stage of life. AI-powered platforms can adapt to learners' evolving needs, offering tailored content that supports continuous skill development and knowledge acquisition. This adaptability is particularly beneficial in rapidly changing industries where ongoing education is essential. By facilitating personalized learning journeys, AI can empower individuals to pursue education beyond traditional settings, fostering a culture of lifelong learning.

Threat:

Job Displacement

The widespread adoption of generative AI in education poses a threat to traditional educational roles, particularly in administrative and instructional support functions. AI systems capable of automating grading, content creation and tutoring may reduce the demand for human educators in certain areas. This shift could lead to job displacement and necessitate the reskilling of educational professionals to adapt to new roles that leverage AI technologies. Balancing technological advancement with workforce development is essential to mitigate potential negative impacts.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of generative AI in education as institutions transitioned to remote learning. AI technologies facilitated the creation of virtual classrooms, personalized learning experiences, and automated administrative processes, ensuring continuity in education during lockdowns. However, the rapid shift highlighted disparities in access to technology and raised concerns about the digital divide. Post-pandemic, the integration of AI continues to reshape educational practices, emphasizing the need for equitable access and ethical considerations in AI deployment.

The cloud-based solutions segment is expected to be the largest during the forecast period

The cloud-based solutions segment is expected to account for the largest market share during the forecast period due to their scalability, flexibility, and cost-effectiveness. These solutions enable educational institutions to deploy AI tools without significant upfront infrastructure investments, making advanced technologies more accessible. Cloud platforms also facilitate real-time updates and collaboration, enhancing the learning experience. The widespread adoption of cloud services in education further supports the growth of this segment, positioning it as a key driver in the market's expansion.

The AI-powered tutoring systems segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the AI-powered tutoring systems segment is predicted to witness the highest growth rate these systems offer personalized, on-demand tutoring that adapts to individual learning styles and paces, providing targeted support to students. The increasing demand for personalized education and the scalability of AI-driven tutoring solutions contribute to their rapid growth. As educational institutions seek to enhance student outcomes, AI-powered tutoring systems are becoming integral components of modern learning environments.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by significant investments in educational technology and a high rate of AI adoption. The presence of leading AI solution providers and educational institutions in the region fosters innovation and accelerates the deployment of AI tools in education. Additionally, supportive government policies and a strong digital infrastructure contribute to North America's leadership in the AI education market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Factors such as rapid digitalization, government initiatives promoting AI adoption, and a large student population drive the demand for AI-powered educational solutions. Countries like China, India, and Japan are investing heavily in AI research and development, positioning the region as a significant growth area for AI in education. The increasing focus on personalized learning further supports this growth trajectory.

Key players in the market

Some of the key players in Generative AI in Education Market include Amazon Web Services, Inc., IBM Corporation, Microsoft Corporation, Google LLC, Pearson PLC, BridgeU, DreamBox Learning, Inc., Carnegie Learning, Inc., Fishtree Inc., Anthology Inc., Squirrel AI Learning, Cognii Inc., Nuance Communications, Inc., Blippar, Century Tech, Querium Corporation, HowNow, KidSense.ai, Practically, and Docebo Inc.

Key Developments:

In September 2024, IBM Consulting partnered with Smarter Balanced to explore principled approaches for integrating AI into educational assessments.

In July 2024, AWS has developed scalable solutions using Amazon Bedrock and AI21 APIs to generate educational content, such as assignments and quizzes, and to provide grammatical corrections.

In September 2023, IBM announced a commitment to train two million learners in AI by the end of 2026, with a focus on underrepresented communities. To achieve this goal at a global scale, IBM is expanding AI education collaborations with universities globally, collaborating with partners to deliver AI training to adult learners, and launching new generative AI coursework through IBM SkillsBuild. This will expand upon IBM's existing programs and career-building platforms to offer enhanced access to AI education and in-demand technical roles.

Deployment Modes Covered:

  • Cloud-Based Solutions
  • On-Premises Solutions

Applications Covered:

  • Personalized Learning
  • Adaptive Learning Systems
  • AI-Powered Tutoring Systems
  • Content Generation and Curriculum Development
  • Assessment and Feedback Mechanisms

End Users Covered:

  • K-12 Education
  • Higher Education Institutions
  • Corporate Training and Development
  • Government and Non-Governmental Organizations

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Generative AI in Education Market, By Deployment Mode

  • 5.1 Introduction
  • 5.2 Cloud-Based Solutions
  • 5.3 On-Premises Solutions

6 Global Generative AI in Education Market, By Application

  • 6.1 Introduction
  • 6.2 Personalized Learning
  • 6.3 Adaptive Learning Systems
  • 6.4 AI-Powered Tutoring Systems
  • 6.5 Content Generation and Curriculum Development
  • 6.6 Assessment and Feedback Mechanisms

7 Global Generative AI in Education Market, By End User

  • 7.1 Introduction
  • 7.2 K-12 Education
  • 7.3 Higher Education Institutions
  • 7.4 Corporate Training and Development
  • 7.5 Government and Non-Governmental Organizations

8 Global Generative AI in Education Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 Amazon Web Services, Inc.
  • 10.2 IBM Corporation
  • 10.3 Microsoft Corporation
  • 10.4 Google LLC
  • 10.5 Pearson PLC
  • 10.6 BridgeU
  • 10.7 DreamBox Learning, Inc.
  • 10.8 Carnegie Learning, Inc.
  • 10.9 Fishtree Inc.
  • 10.10 Anthology Inc.
  • 10.11 Squirrel AI Learning
  • 10.12 Cognii Inc.
  • 10.13 Nuance Communications, Inc.
  • 10.14 Blippar
  • 10.15 Century Tech
  • 10.16 Querium Corporation
  • 10.17 HowNow
  • 10.18 KidSense.ai
  • 10.19 Practically
  • 10.20 Docebo Inc.

List of Tables

  • Table 1 Global Generative AI in Education Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Generative AI in Education Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 3 Global Generative AI in Education Market Outlook, By Cloud-Based Solutions (2024-2032) ($MN)
  • Table 4 Global Generative AI in Education Market Outlook, By On-Premises Solutions (2024-2032) ($MN)
  • Table 5 Global Generative AI in Education Market Outlook, By Application (2024-2032) ($MN)
  • Table 6 Global Generative AI in Education Market Outlook, By Personalized Learning (2024-2032) ($MN)
  • Table 7 Global Generative AI in Education Market Outlook, By Adaptive Learning Systems (2024-2032) ($MN)
  • Table 8 Global Generative AI in Education Market Outlook, By AI-Powered Tutoring Systems (2024-2032) ($MN)
  • Table 9 Global Generative AI in Education Market Outlook, By Content Generation and Curriculum Development (2024-2032) ($MN)
  • Table 10 Global Generative AI in Education Market Outlook, By Assessment and Feedback Mechanisms (2024-2032) ($MN)
  • Table 11 Global Generative AI in Education Market Outlook, By End User (2024-2032) ($MN)
  • Table 12 Global Generative AI in Education Market Outlook, By K-12 Education (2024-2032) ($MN)
  • Table 13 Global Generative AI in Education Market Outlook, By Higher Education Institutions (2024-2032) ($MN)
  • Table 14 Global Generative AI in Education Market Outlook, By Corporate Training and Development (2024-2032) ($MN)
  • Table 15 Global Generative AI in Education Market Outlook, By Government and Non-Governmental Organizations (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.