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市場調查報告書
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2093014

人工智慧（AI）教育市場預測至2034年－全球分析（按組成部分、教育程度、學習形式、課程類型、最終用戶和地區分類）

Artificial Intelligence Education Market Forecasts to 2034 - Global Analysis By Component (Software Platforms, Content, and Services), Education Level, Learning Mode, Course Type, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人工智慧教育市場規模將達到 97 億美元，並在預測期內以 34.5% 的複合年成長率成長，到 2034 年將達到 1046 億美元。

人工智慧教育是指透過專用軟體平台、內容和服務，教授人工智慧概念、機器學習、神經網路、自然語言處理、電腦視覺及相關技術。該市場涵蓋人工智慧學習平台、程式設計環境、教育內容、課程材料、教師培訓、認證計畫和專業發展服務。市場目標群包括K-12教育、高等教育、企業培訓和職業教育等各個層面。各產業對人工智慧技能日益成長的需求、政府加強對人工智慧教育的扶持力度，以及人們對人工智慧對勞動市場變革性影響的認知不斷提高，是推動市場擴張的主要因素。

全球對人工智慧技能和人才的需求日益成長。

各行各業對人工智慧技能的快速成長需求是人工智慧教育市場的主要驅動力。為了保持競爭優勢，各組織都在尋求具備機器學習、資料科學、自然語言處理和人工智慧開發等專業知識的人才。人工智慧技能缺口龐大，需求遠超供給，這使得教育計畫和培訓變得特別迫切。政府和教育機構正在擴展人工智慧課程，以幫助學生為人工智慧主導的職業做好準備。企業培訓計畫也正在投資提升人工智慧技能，以應對人才短缺問題。隨著人工智慧不斷改變商業營運和工作要求，各教育階段和各領域對人工智慧教育的需求都在持續成長。

人工智慧教育資源和技術基礎設施高成本

人工智慧教育資源、軟體平台和技術基礎設施的高昂成本是限制市場成長的主要因素。人工智慧教育需要專門的軟體、運算資源，通常還需要雲端服務來提供實踐學習體驗。教育機構可能難以投資必要的技術基礎設施和平台授權。教師培訓和專業發展也會增加實施成本。開發人工智慧課程內容需要專業知識。在發展中地區，預算限制制約了人工智慧專案的發展。這些成本障礙阻礙了人工智慧教育的普及，尤其是在資源匱乏的學校和教育機構，影響了人工智慧教育機會的公平取得。

線上和混合式人工智慧學習平台的擴展

線上和混合式學習平台的蓬勃發展為人工智慧教育市場帶來了巨大的成長機會。線上人工智慧課程、互動式程式設計環境和虛擬實驗室使得人工智慧教育擺脫了地理限制，實現了擴充性且易於獲取。自主學習平台能夠滿足不同學習者的時間安排和技能水準。人工智慧驅動的個人化指導和個人化學習路徑的整合提升了教育成果。對於企業和職業培訓人員而言，靈活的線上學習選項有助於他們平衡工作和學習。遠距和混合式學習模式的擴展正在加速數位化人工智慧教育資源的普及。隨著線上平台的日益完善，人工智慧教育的覆蓋範圍不斷擴大，為市場創造了巨大的成長潛力。

人工智慧技術的快速發展和課程的過時

人工智慧的快速發展及其導致的課程過時，對人工智慧教育市場構成重大威脅。人工智慧技術、框架和最佳實踐都在快速演進，新的工具和調查方法層出不窮。如果教育計畫不持續更新，就有可能過時，這需要投入大量精力進行教師培訓和內容修訂。雇主可能會質疑那些未能及時更新的人工智慧教育計畫所頒發的資格證書的有效性。如何在基礎概念和最新工具之間取得平衡，也讓課程設計變得更加複雜。快速變化可能導致教育機構放緩專案開發速度，進而影響市場成長。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了人工智慧教育市場的成長，遠距學習和數位轉型成為優先事項。向線上教育的轉變增加了對數位化學習平台和資源的需求。疫情也凸顯了技術技能對於員工韌性和業務永續營運的重要性。隨著企業適應遠距辦公，用於提升人工智慧技能的企業培訓投資也隨之增加。政府推廣數位化技能的措施也加速推進。這場危機再次印證了人工智慧對經濟競爭力的戰略重要性。疫情後，對混合式和遠距學習模式的需求持續成長，人工智慧教育仍是整個教育領域的重點發展方向。

在預測期內，「軟體平台」細分市場預計將佔據最大的市場佔有率。

在預測期內，軟體平台領域預計將佔據最大的市場佔有率，這主要得益於人工智慧開發環境、學習平台和支援軟體在人工智慧教育中發揮的關鍵作用。軟體平台包括整合開發環境、雲端人工智慧實驗室、互動式編碼平台、模擬工具和學習管理系統。該領域受益於對易於獲取且擴充性的工具的需求，這些工具能夠支援人工智慧的實踐學習。教育機構正在投資平台訂閱和許可，以便為學生提供實務經驗。雲端平台和人工智慧驅動的教育工具的日益普及也推動了該領域的成長。隨著人工智慧教育的擴展，軟體平台仍然是一項重要的投資，預計將繼續保持其最大的市場佔有率。

預計在預測期內，企業學習領域將實現最高的複合年成長率。

在預測期內，企業學習領域預計將呈現最高的成長率，這主要得益於各行業人工智慧應用的加速以及員工技能發展和再培訓的迫切需求。企業正在投資人工智慧培訓，以應對人才短缺並建立內部人工智慧能力。企業人工智慧教育涵蓋開發人員、資料科學家和工程師的技術培訓，以及高階主管的人工智慧素養提升專案。與教育科技提供者和人工智慧平台的合作正在擴大企業學習的覆蓋範圍。隨著人工智慧對業務營運和競爭優勢的重要性日益凸顯，企業人工智慧教育正經歷著該領域內最快的成長。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其對人工智慧教育的早期應用、強大的技術基礎設施以及對教育技術的大量投資。該地區擁有眾多領先的人工智慧研究機構和推動人工智慧教育創新的大型科技公司。政府為促進人工智慧教育和人才培養而採取的措施也為該計畫的擴展提供了支持。科技、金融及其他行業的企業對人工智慧培訓的大力投資正在催生巨大的市場需求。憑藉完善的人工智慧教育計畫和持續的投資，北美預計將在整個預測期內保持其市場主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位轉型、政府主導的人工智慧舉措以及中國、印度、日本和澳洲等國龐大的學生群體。該地區各國政府正加大對人工智慧教育和人才培育的投入，以提升其經濟競爭力。該地區龐大的科技人才庫和蓬勃發展的創業生態系統，正在創造對人工智慧技能的巨大需求。企業對人工智慧培訓投入的增加以及大學課程的拓展，都在推動市場成長。隨著人工智慧教育的普及和數位轉型的推進，亞太地區正經歷著全球成長最快的人工智慧教育市場之一。

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  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 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
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧（AI）教育市場：按組件分類

  • 軟體平台
  • 內容
  • 服務

第6章：全球人工智慧（AI）教育市場：依教育程度分類

  • K-12教育
  • 高等教育
  • 企業培訓
  • 職業教育

第7章 全球人工智慧（AI）教育市場：依學習模式分類

  • 線上
  • 離線
  • 混合

第8章：全球人工智慧（AI）教育市場：按課程類型分類

  • 機器學習
  • 深度學習
  • 自然語言處理
  • 電腦視覺
  • 人工智慧世代
  • 人工智慧倫理
  • 其他課程類型

第9章：全球人工智慧（AI）教育市場：按最終用戶分類

  • 學校
  • 學院和高等教育機構
  • 公司
  • 政府機構
  • 培訓機構

第10章：全球人工智慧（AI）教育市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services Inc.
  • IBM Corporation
  • Oracle Corporation
  • NVIDIA Corporation
  • Coursera Inc.
  • Udacity Inc.
  • DataCamp Inc.
  • Simplilearn Solutions Pvt. Ltd.
  • edX LLC
  • Pluralsight LLC
  • DeepLearning.AI
  • OpenAI, Inc.
  • Pearson plc
  • Skillsoft Corporation
  • Instructure Holdings Inc.
  • Anthropic PBC
Product Code: SMRC38184

According to Stratistics MRC, the Global Artificial Intelligence Education Market is accounted for $9.7 billion in 2026 and is expected to reach $104.6 billion by 2034 growing at a CAGR of 34.5% during the forecast period. Artificial intelligence education encompasses the teaching of AI concepts, machine learning, neural networks, natural language processing, computer vision, and related technologies through specialized software platforms, content, and services. This market includes AI learning platforms, coding environments, educational content, curriculum materials, teacher training, certification programs, and professional development services. The market serves K-12 education, higher education, corporate learning, and vocational education levels. Growing demand for AI skills across industries, increasing government initiatives promoting AI education, and rising awareness of AI's transformative impact on the workforce are key drivers of market expansion.

Market Dynamics:

Driver:

Increasing global demand for AI skills and talent

The rapidly growing demand for AI skills across all industries is a primary driver for the AI education market. Organizations are seeking professionals with expertise in machine learning, data science, natural language processing, and AI development to maintain competitive advantage. The AI skills gap, with demand significantly exceeding supply, has created urgency for educational programs and training. Governments and educational institutions are expanding AI curricula to prepare students for AI-driven careers. Corporate learning programs are investing in AI upskilling to address talent shortages. As AI continues transforming business operations and job requirements, demand for AI education continues rising across all education levels and sectors.

Restraint:

High costs of AI education resources and technology infrastructure

The significant costs associated with AI education resources, software platforms, and technology infrastructure represent major restraints for market growth. AI education requires specialized software, computing resources, and often cloud services for hands-on learning experiences. Educational institutions may struggle to invest in necessary technology infrastructure and platform licenses. Faculty training and professional development add to implementation costs. Content development for AI curricula requires specialized expertise. In developing regions, limited educational funding restricts AI program availability. These cost barriers limit adoption, particularly in under-resourced schools and institutions, affecting equitable access to AI education opportunities.

Opportunity:

Expansion of online and hybrid AI learning platforms

The growth of online and hybrid learning platforms presents significant opportunities for the AI education market. Online AI courses, interactive coding environments, and virtual labs enable scalable, accessible AI education without geographic limitations. Self-paced learning platforms accommodate diverse learner schedules and skill levels. Integration of AI-powered tutoring and personalized learning paths enhances educational outcomes. Corporate and vocational learners benefit from flexible online options that balance work and education. The expansion of remote and hybrid learning models has accelerated adoption of digital AI education resources. As online platforms become more sophisticated, AI education accessibility expands, creating substantial market growth opportunities.

Threat:

Rapidly evolving AI technologies and curriculum obsolescence

The rapid pace of AI advancement and resulting curriculum obsolescence poses significant threats to the AI education market. AI technologies, frameworks, and best practices evolve quickly, with new tools and methodologies emerging regularly. Educational programs risk becoming outdated if not continuously updated, requiring substantial faculty development and content revision. Employers may question the relevance of AI education credentials from programs not maintaining currency. The challenge of balancing fundamental concepts with current tools creates complexity for curriculum design. Rapid change may lead institutions to delay program development, affecting market growth.

Covid-19 Impact:

The COVID-19 pandemic accelerated AI education market growth as remote learning and digital transformation became priorities. The shift to online education increased demand for digital learning platforms and resources. The pandemic highlighted the importance of technology skills for workforce resilience and business continuity. Corporate learning investments in AI upskilling increased as organizations adapted to remote operations. Government initiatives promoting digital skills gained momentum. The crisis reinforced AI's strategic importance for economic competitiveness. Post-pandemic, hybrid and remote learning models have sustained increased demand, with AI education remaining a priority across education sectors.

The Software Platforms segment is expected to be the largest during the forecast period

The Software Platforms segment is expected to account for the largest market share during the forecast period, driven by the essential role of AI development environments, learning platforms, and supporting software in AI education delivery. Software platforms include integrated development environments, cloud-based AI labs, interactive coding platforms, simulation tools, and learning management systems. The segment benefits from the need for accessible, scalable tools that enable practical AI learning. Institutions invest in platform subscriptions and licenses to provide students with hands-on experience. Growing adoption of cloud-based platforms and AI-powered educational tools supports segment growth. As AI education expands, software platforms remain fundamental investments, securing the largest market share.

The Corporate Learning segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Corporate Learning segment is predicted to witness the highest growth rate, fueled by accelerating AI adoption across industries and the critical need for workforce upskilling and reskilling. Organizations are investing in AI training to address talent shortages and build internal AI capabilities. Corporate AI education includes technical training for developers, data scientists, and engineers, as well as AI literacy programs for business leaders. Partnerships with educational technology providers and AI platforms are expanding corporate learning offerings. As AI becomes integral to business operations and competitive advantage, corporate AI education delivers the fastest segment growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by early AI education adoption, strong technology infrastructure, and significant investment in educational technology. The region hosts leading AI research institutions and major technology companies driving AI education innovation. Government initiatives promoting AI education and workforce development support program expansion. Strong corporate investment in AI training across technology, finance, and other sectors creates substantial demand. With established AI education programs and continued investment, North America maintains its dominant market position throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digital transformation, government AI initiatives, and large student populations across countries including China, India, Japan, and Australia. Governments across the region are investing in AI education and workforce development to support economic competitiveness. The region's large technology workforce and growing startup ecosystem create substantial demand for AI skills. Rising corporate investment in AI training and university program expansion support market growth. As AI education adoption accelerates and digital transformation progresses, Asia Pacific delivers the fastest AI education market growth globally.

Key players in the market

Some of the key players in Artificial Intelligence Education Market include Microsoft Corporation, Google LLC, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, NVIDIA Corporation, Coursera Inc., Udacity Inc., DataCamp Inc., Simplilearn Solutions Pvt. Ltd., edX LLC, Pluralsight LLC, DeepLearning.AI, OpenAI, Inc., Pearson plc, Skillsoft Corporation, Instructure Holdings Inc., and Anthropic PBC.

Key Developments:

In June 2026, Google.org announced a new wave of localized funding at the 2026 ISTE conference to support prominent AI education non-profits like aiEDU, ISTE, and Renaissance Philanthropy, focusing specifically on co-developing district-level K-12 AI readiness blueprints and AI-informed student assessment models.

In June 2026, OpenAI launched its inaugural "ChatGPT Futures Class of 2026," awarding $10,000 grants and advanced frontier model access to 26 student innovators globally who are building AI-driven solutions for blind student accessibility, language preservation, and automated college counseling.

In June 2026, NVIDIA CEO Jensen Huang delivered a keynote at COMPUTEX 2026 in Taipei mapping out the next phase of AI-assisted engineering education, outlining how conversational AI agents and specialized RTX hardware architectures will change how computer science students approach software construction.

In January 2026, Google launched a massive ₹85 crore Google.org grant to Wadhwani AI to build multilingual, voice-enabled AI learning tools across India's public SWAYAM education network, while simultaneously deploying Google Cloud's Gemini Enterprise to pilot the country's first fully AI-integrated state university.

Components Covered:

  • Software Platforms
  • Content
  • Services

Education Levels Covered:

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

Learning Modes Covered:

  • Online
  • Offline
  • Blended

Course Types Covered:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Generative AI
  • AI Ethics
  • Other Course Types

End Users Covered:

  • Schools
  • Colleges and Universities
  • Enterprises
  • Government Organizations
  • Training Institutes

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Artificial Intelligence Education Market, By Component

  • 5.1 Software Platforms
  • 5.2 Content
  • 5.3 Services

6 Global Artificial Intelligence Education Market, By Education Level

  • 6.1 K-12 Education
  • 6.2 Higher Education
  • 6.3 Corporate Learning
  • 6.4 Vocational Education

7 Global Artificial Intelligence Education Market, By Learning Mode

  • 7.1 Online
  • 7.2 Offline
  • 7.3 Blended

8 Global Artificial Intelligence Education Market, By Course Type

  • 8.1 Machine Learning
  • 8.2 Deep Learning
  • 8.3 Natural Language Processing
  • 8.4 Computer Vision
  • 8.5 Generative AI
  • 8.6 AI Ethics
  • 8.7 Other Course Types

9 Global Artificial Intelligence Education Market, By End User

  • 9.1 Schools
  • 9.2 Colleges and Universities
  • 9.3 Enterprises
  • 9.4 Government Organizations
  • 9.5 Training Institutes

10 Global Artificial Intelligence Education Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Microsoft Corporation
  • 13.2 Google LLC
  • 13.3 Amazon Web Services Inc.
  • 13.4 IBM Corporation
  • 13.5 Oracle Corporation
  • 13.6 NVIDIA Corporation
  • 13.7 Coursera Inc.
  • 13.8 Udacity Inc.
  • 13.9 DataCamp Inc.
  • 13.10 Simplilearn Solutions Pvt. Ltd.
  • 13.11 edX LLC
  • 13.12 Pluralsight LLC
  • 13.13 DeepLearning.AI
  • 13.14 OpenAI, Inc.
  • 13.15 Pearson plc
  • 13.16 Skillsoft Corporation
  • 13.17 Instructure Holdings Inc.
  • 13.18 Anthropic PBC

List of Tables

  • Table 1 Global Artificial Intelligence Education Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Artificial Intelligence Education Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Artificial Intelligence Education Market Outlook, By Software Platforms (2023-2034) ($MN)
  • Table 4 Global Artificial Intelligence Education Market Outlook, By Content (2023-2034) ($MN)
  • Table 5 Global Artificial Intelligence Education Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global Artificial Intelligence Education Market Outlook, By Education Level (2023-2034) ($MN)
  • Table 7 Global Artificial Intelligence Education Market Outlook, By K-12 Education (2023-2034) ($MN)
  • Table 8 Global Artificial Intelligence Education Market Outlook, By Higher Education (2023-2034) ($MN)
  • Table 9 Global Artificial Intelligence Education Market Outlook, By Corporate Learning (2023-2034) ($MN)
  • Table 10 Global Artificial Intelligence Education Market Outlook, By Vocational Education (2023-2034) ($MN)
  • Table 11 Global Artificial Intelligence Education Market Outlook, By Learning Mode (2023-2034) ($MN)
  • Table 12 Global Artificial Intelligence Education Market Outlook, By Online (2023-2034) ($MN)
  • Table 13 Global Artificial Intelligence Education Market Outlook, By Offline (2023-2034) ($MN)
  • Table 14 Global Artificial Intelligence Education Market Outlook, By Blended (2023-2034) ($MN)
  • Table 15 Global Artificial Intelligence Education Market Outlook, By Course Type (2023-2034) ($MN)
  • Table 16 Global Artificial Intelligence Education Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 17 Global Artificial Intelligence Education Market Outlook, By Deep Learning (2023-2034) ($MN)
  • Table 18 Global Artificial Intelligence Education Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 19 Global Artificial Intelligence Education Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 20 Global Artificial Intelligence Education Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 21 Global Artificial Intelligence Education Market Outlook, By AI Ethics (2023-2034) ($MN)
  • Table 22 Global Artificial Intelligence Education Market Outlook, By Other Course Types (2023-2034) ($MN)
  • Table 23 Global Artificial Intelligence Education Market Outlook, By End User (2023-2034) ($MN)
  • Table 24 Global Artificial Intelligence Education Market Outlook, By Schools (2023-2034) ($MN)
  • Table 25 Global Artificial Intelligence Education Market Outlook, By Colleges and Universities (2023-2034) ($MN)
  • Table 26 Global Artificial Intelligence Education Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 27 Global Artificial Intelligence Education Market Outlook, By Government Organizations (2023-2034) ($MN)
  • Table 28 Global Artificial Intelligence Education Market Outlook, By Training Institutes (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.