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市場調查報告書
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1797943

2032 年人工智慧導師市場預測：按組件、部署模式、技術、應用、最終用戶和地區進行的全球分析

AI Tutors Market Forecasts to 2032 - Global Analysis By Component, Deployment Mode, Technology, 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，全球人工智慧輔導市場規模預計將在 2025 年達到 20.3 億美元，到 2032 年達到 109.6 億美元，預測期內的複合年成長率為 27.2%。人工智慧輔導系統是基於軟體的智慧系統，旨在為學習者提供個人化、自動化的指導和回饋。這些平台利用機器學習、自然語言處理和生成式人工智慧等技術，能夠適應個人的學習風格、學習進度和知識水平。人工智慧輔導系統透過識別學習差距、提供客製化內容和提供即時支援來改善教育成果。此外，它們還為各個學科提供可擴展且經濟高效的學習解決方案，使教育在正式和非正式環境中都更容易獲得、更有效率、更互動。

擴大數位和行動訪問

高速網路的普及和智慧型手機的普及正在從根本上改變教育的可及性。這種數位轉型使得不同地理位置的人工智慧輔導平台能夠無縫整合，消除了傳統上阻礙優質教育發展的障礙。此外，行動學習應用程式的普及也顯著提升了學習的便利性，學生可以隨時隨地獲得個人化的輔導體驗。此外，教育機構擴大利用雲端基礎的基礎設施來提供可擴展的人工智慧輔導解決方案，從而實現優質教育資源的普及。

新興地區的基礎設施限制

新興市場技術基礎設施的不足對人工智慧輔導的廣泛應用構成了重大挑戰。有限的頻寬和不穩定的網路連接阻礙了服務匱乏地區提供即時互動的人工智慧輔導體驗。數位落差造成了教育機會的不平等，因為資源匱乏地區的學生缺乏實現人工智慧輔導最佳功能所需的先進設備。此外，建立強大的技術基礎設施所需的高昂實施成本限制了教育機構部署全面人工智慧輔導解決方案的能力。

人工智慧評估和即時回饋

先進的自然語言處理和機器學習演算法使人工智慧導師能夠提供即時、個人化的學生表現回饋。智慧評估系統可以識別個人學習差距，並自動調整教學策略，以最佳化知識保留。此外，人工智慧分析能夠產生全面的績效洞察，使教育工作者能夠根據數據制定課程開發和學生支援策略。透過整合預測分析，教育機構可以主動識別學習障礙學生，並在學業成績下降之前實施有針對性的干涉措施。

隱私和資料安全問題

教育機構面臨越來越大的壓力，既要保護敏感的學生數據，又要遵守《家庭教育權與隱私法》（FERPA）和《一般資料保護規範》（GDPR）等嚴格的隱私法規。個人學習資料的收集和分析引發了人們對技術提供者濫用和第三方未授權存取存取的擔憂。此外，人工智慧輔導平台的網路安全漏洞可能會將敏感的學習記錄和行為模式暴露給惡意攻擊者。此外，家長和學生對資料收集透明度的要求也越來越高，如果不採取適當的安全措施，人工智慧輔導的採用可能會遭遇阻力。

COVID-19的影響

新冠疫情顯著加速了人工智慧導師的普及，教育機構迅速轉向遠距學習方式。學校和大學部署​​了人工智慧平台，以確保在封鎖期間保持教育的連續性，從而刺激了前所未有的市場成長。此外，這場危機凸顯了可擴展、技術主導的教育解決方案的重要性，這些解決方案能夠同時支援數百萬名學生。這場疫情從根本上改變了人們對教育的期望，並確立了人工智慧導師作為面向未來的學習環境中不可或缺的工具的地位。

預計預測期內雲端基礎市場將佔最大佔有率

預計雲端基礎細分市場將在預測期內佔據最大市場佔有率，這得益於其卓越的擴充性、成本效益和便捷的存取方式。雲端技術的採用使教育機構能夠快速部署AI輔導解決方案，而無需投入大量的基礎設施，從而顯著縮短產品上市時間。此外，雲端基礎支援無縫更新和增強，確保學生始終獲得尖端的AI輔導功能。此外，雲端架構固有的靈活性使教育機構能夠根據學生入學人數和季節性需求的波動動態擴展資源。

預計生成式人工智慧領域將在預測期內實現最高的複合年成長率

生成式人工智慧領域預計將在預測期內實現最高成長率，這得益於其在創建個人化學習內容和互動式教育體驗方面的突破性能力。生成式人工智慧技術能夠發展出複雜的對話式輔導系統，透過自然語言互動吸引學生，顯著提升學習參與。這些先進的系統可以根據個人的學習偏好和熟練程度自動產生練習、說明和學習材料。此外，將生成式人工智慧融入現有的教育平台，為自適應內容創建和動態課程個人化創造了前所未有的機會。

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，這得益於其強大的技術基礎設施和大量的教育科技投資。該地區受益於教育機構早期對人工智慧的採用，以及政府推動數位學習轉型的強大舉措。北美成熟的創業投資生態系統將繼續透過策略資金籌措和夥伴關係促進人工智慧輔導平台的創新。此外，領先的科技公司和教育出版商的存在正在加速先進人工智慧輔導解決方案的開發和部署。

複合年成長率最高的地區

預計亞太地區在預測期內的複合年成長率最高，這得益於龐大的學生群體和新興經濟體日益成長的數位化舉措。中國和印度等國的政府正在實施全面的數位學習策略，優先發展人工智慧教育技術。此外，該地區的中階正在加大對高階教育服務的投資，這為人工智慧輔導提供者創造了巨大的市場機會。行動網際網路基礎設施和智慧型手機的快速普及，使得人工智慧輔導平台的普及率日益提升，即使在先前服務匱乏的農村地區也是如此。

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  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
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    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

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
    • 二手研究資訊來源
    • 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
  • 技術分析
  • 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

第5章 全球人工智慧輔導市場（按組成部分）

  • 解決方案
    • 基於平台的解決方案
    • Software-as-a-Service (SaaS)
  • 服務
    • 實施與整合
    • 諮詢和培訓
    • 支援和維護

6. 全球人工智慧輔導市場（按部署模式）

  • 雲端基礎
  • 本地

7. 全球人工智慧輔導市場（按技術）

  • 機器學習和預測分析
  • 自然語言處理（NLP）
  • 人工智慧世代
  • 語音辨識
  • 其他

第8章 全球人工智慧輔導市場（按應用）

  • 個別科目指導
  • 考試準備
  • 家庭作業支持
  • 技能發展與提升
  • 自適應評估和評分

第9章 全球人工智慧輔導市場（按最終用戶）

  • K-12教育
  • 高等教育
  • 企業和職業培訓
  • 其他

第10章 全球人工智慧輔導市場（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11章 重大進展

  • 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12章：企業概況

  • Duolingo
  • BYJU'S
  • Chegg
  • Khan Academy
  • Quizlet
  • Pearson
  • Carnegie Learning
  • Squirrel AI Learning
  • Cognii
  • Knewton
  • DreamBox Learning
  • Riiid
  • Century Tech
  • Querium
  • Brainly
Product Code: SMRC30313

According to Stratistics MRC, the Global AI Tutors Market is accounted for $2.03 billion in 2025 and is expected to reach $10.96 billion by 2032 growing at a CAGR of 27.2% during the forecast period. AI tutors are intelligent, software-based systems designed to provide personalized, automated instruction and feedback to learners. Leveraging technologies such as machine learning, natural language processing, and generative AI, these platforms adapt to individual learning styles, pace, and knowledge levels. AI tutors enhance educational outcomes by identifying learning gaps, offering tailored content, and facilitating real-time support. Additionally, they enable scalable and cost-effective learning solutions across various academic disciplines, making education more accessible, efficient, and interactive in both formal and informal settings.

Market Dynamics:

Driver:

Growing digital & mobile access

The proliferation of high-speed internet connectivity and widespread smartphone penetration is fundamentally transforming educational accessibility. This digital transformation enables seamless integration of AI tutoring platforms across diverse geographical locations, eliminating traditional barriers to quality education. Moreover, the surge in mobile learning applications empowers students to access personalized tutoring experiences anytime and anywhere, significantly enhancing learning convenience. Furthermore, educational institutions are increasingly leveraging cloud-based infrastructure to deliver scalable AI tutoring solutions, thereby democratizing access to premium educational resources.

Restraint:

Infrastructure limitations in developing regions

Inadequate technological infrastructure in emerging markets poses significant challenges to widespread AI tutor adoption. Limited bandwidth and unreliable internet connectivity impede the delivery of real-time, interactive AI tutoring experiences in underserved regions. The digital divide creates disparities in educational opportunities, as students in resource-constrained areas lack access to advanced devices necessary for optimal AI tutor functionality. Additionally, high implementation costs associated with establishing robust technological infrastructure restrict educational institutions' ability to deploy comprehensive AI tutoring solutions.

Opportunity:

Ai-powered assessment & real-time feedback

Advanced natural language processing and machine learning algorithms enable AI tutors to provide instantaneous, personalized feedback on student performance. Intelligent assessment systems can identify individual learning gaps and automatically adjust instructional strategies to optimize knowledge retention. Moreover, AI-powered analytics generate comprehensive performance insights, enabling educators to make data-driven decisions about curriculum development and student support strategies. The integration of predictive analytics helps institutions proactively identify at-risk students and implement targeted interventions before academic performance deteriorates.

Threat:

Privacy and data security concerns

Educational institutions face mounting pressure to protect sensitive student data while complying with stringent privacy regulations such as FERPA and GDPR. The collection and analysis of personal learning data raise concerns about potential misuse by technology providers or unauthorized third-party access. Moreover, cybersecurity vulnerabilities in AI tutoring platforms could expose confidential academic records and behavioral patterns to malicious actors. Furthermore, parents and students increasingly demand transparency regarding data collection practices, creating potential resistance to AI tutor adoption if adequate security measures are not implemented.

Covid-19 Impact:

The Covid-19 pandemic significantly accelerated AI tutor adoption as educational institutions rapidly shifted to remote learning modalities. Schools and universities implemented AI-powered platforms to maintain educational continuity during lockdowns, driving unprecedented market growth. Moreover, the crisis highlighted the critical importance of scalable, technology-driven educational solutions capable of supporting millions of students simultaneously. The pandemic fundamentally transformed educational expectations, establishing AI tutors as essential tools for future-ready learning environments.

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

The cloud-based segment is expected to account for the largest market share during the forecast period due to its superior scalability, cost-effectiveness, and accessibility advantages. Cloud deployment enables educational institutions to rapidly implement AI tutoring solutions without substantial infrastructure investments, significantly reducing time-to-market. Moreover, cloud-based platforms facilitate seamless updates and feature enhancements, ensuring students consistently access cutting-edge AI tutoring capabilities. Furthermore, the inherent flexibility of cloud architecture allows institutions to dynamically scale resources based on student enrollment fluctuations and seasonal demand variations.

The generative AI segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the generative AI segment is predicted to witness the highest growth rate, driven by breakthrough capabilities in creating personalized learning content and interactive educational experiences. Generative AI technologies enable the development of sophisticated conversational tutors that can engage students through natural language interactions, significantly enhancing learning engagement. These advanced systems can automatically generate customized practice problems, explanations, and study materials tailored to individual learning preferences and proficiency levels. Furthermore, the integration of generative AI with existing educational platforms creates unprecedented opportunities for adaptive content creation and dynamic curriculum personalization.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by robust technological infrastructure and substantial EdTech investments. The region benefits from early AI adoption in educational institutions and strong government initiatives promoting digital learning transformation. North America's mature venture capital ecosystem continues to fuel innovation in AI tutoring platforms through strategic funding and partnerships. Furthermore, the presence of leading technology companies and educational publishers accelerates the development and deployment of advanced AI tutoring solutions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by massive student populations and increasing digitalization initiatives across emerging economies. Governments in countries like China and India are implementing comprehensive e-learning strategies that prioritize AI-powered educational technologies. Moreover, the region's growing middle class is increasingly investing in premium educational services, creating substantial market opportunities for AI tutoring providers. The rapid expansion of mobile internet infrastructure and smartphone penetration is democratizing access to AI tutoring platforms across previously underserved rural communities.

Key players in the market

Some of the key players in AI Tutors Market include Duolingo, BYJU'S, Chegg, Khan Academy, Quizlet, Pearson, Carnegie Learning, Squirrel AI Learning, Cognii, Knewton, DreamBox Learning, Riiid, Century Tech, Querium, and Brainly.

Key Developments:

In January 2025, Pearson the world's lifelong learning company has launched AI-powered Digital Language Tutor specifically designed to help businesses improve English proficiency at scale and unlock employee potential. English is the global language of business, yet only 48% of employees learning it feel confident speaking at work creating significant barriers to productivity, collaboration, and innovation. Pearson's Digital Language Tutor addresses this gap by leveraging advanced AI and patented technology.

In January 2025, Duolingo the world's leading mobile learning platform, today announces the expansion of Video Call to Android devices. The innovative AI conversation partner for language learning is now also available in five additional languages. Video Call is Duolingo's most advanced offering to prepare learners for real-world conversations.

In June 2023, BYJU'S, the world's leading edtech company, has announced the launch of BYJU'S WIZ, an innovative suite of three cutting-edge artificial intelligence (AI) transformer models - BADRI, MathGPT, and TeacherGPT.

Components Covered:

  • Solutions
  • Services

Deployment Modes:

  • Cloud-based
  • On-premise

Technologies Covered:

  • Machine Learning & Predictive Analytics
  • Natural Language Processing (NLP)
  • Generative AI
  • Speech Recognition
  • Other Technologies

Applications Covered:

  • Subject-Specific Tutoring
  • Test Preparation
  • Homework Assistance
  • Skill Development & Upskilling
  • Adaptive Assessments & Grading

End Users Covered:

  • K-12 Education
  • Higher Education
  • Corporate & Vocational Training
  • Other End Users

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 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 AI Tutors Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Platform-based Solutions
    • 5.2.2 Software-as-a-Service (SaaS)
  • 5.3 Services
    • 5.3.1 Implementation & Integration
    • 5.3.2 Consulting & Training
    • 5.3.3 Support & Maintenance

6 Global AI Tutors Market, By Deployment Mode

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

7 Global AI Tutors Market, By Technology

  • 7.1 Introduction
  • 7.2 Machine Learning & Predictive Analytics
  • 7.3 Natural Language Processing (NLP)
  • 7.4 Generative AI
  • 7.5 Speech Recognition
  • 7.6 Other Technologies

8 Global AI Tutors Market, By Application

  • 8.1 Introduction
  • 8.2 Subject-Specific Tutoring
  • 8.3 Test Preparation
  • 8.4 Homework Assistance
  • 8.5 Skill Development & Upskilling
  • 8.6 Adaptive Assessments & Grading

9 Global AI Tutors Market, By End User

  • 9.1 Introduction
  • 9.2 K-12 Education
  • 9.3 Higher Education
  • 9.4 Corporate & Vocational Training
  • 9.5 Other End Users

10 Global AI Tutors Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Duolingo
  • 12.2 BYJU'S
  • 12.3 Chegg
  • 12.4 Khan Academy
  • 12.5 Quizlet
  • 12.6 Pearson
  • 12.7 Carnegie Learning
  • 12.8 Squirrel AI Learning
  • 12.9 Cognii
  • 12.10 Knewton
  • 12.11 DreamBox Learning
  • 12.12 Riiid
  • 12.13 Century Tech
  • 12.14 Querium
  • 12.15 Brainly

List of Tables

  • Table 1 Global AI Tutors Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Tutors Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI Tutors Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI Tutors Market Outlook, By Platform-based Solutions (2024-2032) ($MN)
  • Table 5 Global AI Tutors Market Outlook, By Software-as-a-Service (SaaS) (2024-2032) ($MN)
  • Table 6 Global AI Tutors Market Outlook, By Services (2024-2032) ($MN)
  • Table 7 Global AI Tutors Market Outlook, By Implementation & Integration (2024-2032) ($MN)
  • Table 8 Global AI Tutors Market Outlook, By Consulting & Training (2024-2032) ($MN)
  • Table 9 Global AI Tutors Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 10 Global AI Tutors Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 11 Global AI Tutors Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 12 Global AI Tutors Market Outlook, By On-premise (2024-2032) ($MN)
  • Table 13 Global AI Tutors Market Outlook, By Technology (2024-2032) ($MN)
  • Table 14 Global AI Tutors Market Outlook, By Machine Learning & Predictive Analytics (2024-2032) ($MN)
  • Table 15 Global AI Tutors Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 16 Global AI Tutors Market Outlook, By Generative AI (2024-2032) ($MN)
  • Table 17 Global AI Tutors Market Outlook, By Speech Recognition (2024-2032) ($MN)
  • Table 18 Global AI Tutors Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 19 Global AI Tutors Market Outlook, By Application (2024-2032) ($MN)
  • Table 20 Global AI Tutors Market Outlook, By Subject-Specific Tutoring (2024-2032) ($MN)
  • Table 21 Global AI Tutors Market Outlook, By Test Preparation (2024-2032) ($MN)
  • Table 22 Global AI Tutors Market Outlook, By Homework Assistance (2024-2032) ($MN)
  • Table 23 Global AI Tutors Market Outlook, By Skill Development & Upskilling (2024-2032) ($MN)
  • Table 24 Global AI Tutors Market Outlook, By Adaptive Assessments & Grading (2024-2032) ($MN)
  • Table 25 Global AI Tutors Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global AI Tutors Market Outlook, By K-12 Education (2024-2032) ($MN)
  • Table 27 Global AI Tutors Market Outlook, By Higher Education (2024-2032) ($MN)
  • Table 28 Global AI Tutors Market Outlook, By Corporate & Vocational Training (2024-2032) ($MN)
  • Table 29 Global AI Tutors Market Outlook, By Other End Users (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.