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1822530

2032 年教育市場產生人工智慧預測：按部署模式、應用程式、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球教育生成人工智慧市場規模預計在 2025 年達到 93 億美元，到 2032 年將達到 669 億美元，預測期內的複合年成長率為 32.5%。

教育市場中的生成式人工智慧 (Generative AI) 包括由人工智慧主導的工具和平台，用於產生個人化學習內容、評估、模擬和虛擬導師。它使教育工作者能夠創建自適應課程、自動化評分，並透過人工智慧生成的文本、多媒體和問題解決資源來支持學生參與。由於大規模語言模型的進步、個人化學習的需求以及數位教育的擴展，生成式人工智慧的應用正在不斷增加。該市場涵蓋 K-12、高等教育和企業學習，旨在實現經濟高效、可擴展且數據驅動的教育體驗，同時提升學習成果和效率。

根據史丹佛大學以人為本的人工智慧研究所的數據，超過 30% 的美國教室使用 ChatGPT 和 Copilot 等生成式人工智慧工具來支援個人化學習和內容創作。

簡化內容創建

生成式人工智慧透過自動化開發個人化學習材料、評估和回饋，顯著提升了教育內容的創作能力。這種自動化減少了教育工作者在行政管理上花費的時間，使他們能夠更專注於教學和學生參與。此外，人工智慧主導的內容能夠適應個人的學習風格和學習進度，從而促進更有效、更包容的教育。人工智慧生成內容的擴充性和適應性進一步支持多樣化的學習環境，使教育更加便利有效率。

道德問題

生成式人工智慧與教育的整合引發了重大的倫理問題，包括資料隱私、演算法偏見和濫用的可能性。教育機構必須確保人工智慧系統的透明度、公平性和課責，以維護學習環境中的信任和公平性。此外，對人工智慧的依賴可能會導致人類對教育過程的監督減少，從而可能損害教育的品質和完整性。解決這些倫理問題對於負責任地在教育領域採用人工智慧技術至關重要。

終身學習

生成式人工智慧透過提供個人化、按需的教育資源，為促進終身學習提供了巨大的機會，無論個人處於人生的哪個階段，都可以存取這些資源。基於人工智慧的平台可以適應學習者不斷變化的需求，並提供客製化內容，支援持續的技能發展和知識獲取。這種適應性在快節奏、持續教育至關重要的行業中尤其有益。透過促進個人化學習旅程，人工智慧可以賦能個人在傳統環境之外尋求教育，並培養終身學習的文化。

就業轉型

生成式人工智慧在教育領域的廣泛應用對傳統的教育角色構成了威脅，尤其是行政和教學支援職能。能夠自動評分、創建內容和輔導的人工智慧系統可能會減少某些領域對人類教育工作者的需求。這種轉變可能會導致就業競爭加劇，並要求教育專業人士重新學習技能，以適應人工智慧技術驅動的新角色。平衡技術進步與勞動力發展對於減輕潛在的負面影響至關重要。

COVID-19的影響：

隨著教育機構向遠距學習轉型，新冠疫情加速了生成式人工智慧在教育領域的應用。人工智慧技術促進了虛擬教室、個人化學習體驗和自動化管理流程的創建，確保了停課期間教育的連續性。然而，這種快速的轉變凸顯了技術取得的不平等，並引發了人們對數位落差的擔憂。疫情過後，人工智慧的整合將繼續重塑教育實踐，凸顯了在人工智慧實施過程中公平獲取和倫理考量的重要性。

預計雲端基礎解決方案領域將成為預測期內最大的領域

預計雲端基礎方案憑藉其擴充性、靈活性和成本效益，將在預測期內佔據最大的市場佔有率。這些解決方案使教育機構無需大量的領先基礎設施投資即可採用人工智慧工具，使先進技術更容易普及。雲端平台也支援即時更新和協作，從而提升學習體驗。雲端服務在教育領域的廣泛應用預計將進一步推動該領域的成長，並成為市場擴張的關鍵驅動力。

預計人工智慧輔導系統領域在預測期內將以最高複合年成長率成長

預計人工智慧輔導系統領域將在預測期內實現最高成長率。這些系統提供個人化、隨選輔導，適應學生的個人學習風格和學習進度，為學生提供有針對性的支援。日益成長的個人化教育需求以及主導輔導解決方案的擴充性推動了這一快速成長。隨著教育機構努力提高學生學習成果，人工​​智慧輔導系統正成為現代學習環境的重要組成部分。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其對教育科技的大量投資和人工智慧的廣泛應用。該地區領先的人工智慧解決方案供應商和教育機構的存在促進了創新，並加速了人工智慧工具在教育領域的應用。此外，政府的支持性政策和強大的數位基礎設施也有助於北美在教育人工智慧市場中保持領先地位。

複合年成長率最高的地區：

預計亞太地區將在預測期內實現最高的複合年成長率。快速數位化、政府推動人工智慧應用的舉措以及龐大的學生群體等因素正在推動對人工智慧教育解決方案的需求。中國、印度和日本等國家正大力投資人工智慧研發，使該地區成為人工智慧教育領域的關鍵成長區域。對個人化學習的日益關注也進一步推動了這一成長軌跡。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球教育生成式人工智慧市場（依部署模式）

  • 雲端基礎的解決方案
  • 本地解決方案

6. 全球教育生成人工智慧市場（按應用）

  • 個人化學習
  • 自適應學習系統
  • 人工智慧個人化輔導系統
  • 內容創作與課程開發
  • 評估和回饋機制

7. 全球教育市場生成式人工智慧（依最終用戶分類）

  • K-12教育
  • 高等教育機構
  • 企業培訓與發展
  • 政府和非政府組織

8. 全球教育生成人工智慧市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第9章：主要進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第10章：企業概況

  • 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.