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2169425

人工智慧 (AI) 技能培訓市場預測至 2034 年——按培訓類型、交付方式、培訓提供者、應用、最終用戶和地區分類的全球分析

Artificial Intelligence Skills Training Market Forecasts to 2034 - Global Analysis By Training Type, Training Delivery Mode, Training Provider, 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，預計到 2026 年，全球人工智慧技能培訓市場規模將達到 83 億美元，並在預測期內以 11.9% 的複合年成長率成長，到 2034 年將達到 203 億美元。

人工智慧技能培訓是指旨在為個人提供開發、部署和管理人工智慧系統所需技術技能和實踐知識的系統化教育專案和學習平台。這些項目涵蓋從基礎知識到高級應用的廣泛主題，包括機器學習演算法、深度學習架構、自然語言處理、電腦視覺、生成式人工智慧模型以及負責任的人工智慧實踐。這些課程透過線上課程、講師指導的虛擬課堂、混合式學習模式以及實踐練習等多種方式進行授課，使學員能夠使用行業標準工具和框架獲得實踐經驗。

企業對人工智慧應用的需求以及員工對技能再培訓的需求。

隨著人工智慧在各行各業的加速應用，企業紛紛尋求將人工智慧能力融入運營，而現有員工也需要掌握新的技術技能，這導致技能再培訓的需求日益迫切。人工智慧技能培訓透過提供結構化的課程來應對這項挑戰，使專業人員能夠熟練機器學習、生成式人工智慧以及人工智慧系統的實施。這有助於企業從人工智慧投資中實現生產力提升，並降低因人才短缺而導致轉型進程延誤的風險。

內容快速過時

人工智慧技術的快速發展為培訓機構帶來了持續的挑戰。涉及特定模型、框架和工具的課程內容可能在發布幾個月內就過時。課程開發週期難以跟上新模型的發布、API 的變更以及不斷演進的最佳實踐，導致維護最新內容的成本增加，並可能削弱學員對課程相關性的信心。這種與內容生命週期相關的壓力迫使培訓機構持續投資於課程更新和教師再培訓，從而擠壓了各種規模培訓機構的利潤空間。

人工智慧驅動的個人化學習平台

人工智慧 (AI) 為培訓機構提供了巨大的機遇，使其能夠透過 AI 平台提供個人化學習路徑、自適應技能評估和預測性能力差距分析。透過分析學習者的表現、參與模式和職位要求，這些系統可以提案有針對性的措施，從而有效地彌補特定的技能差距。 Coursera 的「Project Helix」預計將於 2027 年全面推出，它正是這一趨勢的體現，利用 AI 技術實現學習路徑的個人化，並將培訓成果與業務成果聯繫起來。

透過免費和低成本替代方案展開競爭

來自技術供應商、開放原始碼社群和平台產生資源的大量免費教育內容對商業培訓機構構成了重大威脅。 Google、微軟和英偉達都透過各種課程提供豐富的免費培訓資源，例如Google的人工智慧研究基礎課程、微軟的「微軟學習」平台以及英偉達的深度學習學院開放課件中心。這些免費內容為付費課程的定價帶來了壓力，並縮小了加值服務的市場，尤其對培訓預算有限的個人學習者和小規模組織而言更是如此。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了線上和遠距學習的轉變，從而即時催生了對能夠支持分散學習者的數位化培訓平台的需求。這項轉變擴大了全球人工智慧技能培訓的涵蓋範圍，同時也加劇了線上培訓機構之間的競爭，並使靈活的自主學習模式成為常態。在後疫情時代人才培養結構轉變為混合模式的過程中，數位化平台已融入企業學習策略，促進了企業對線上人工智慧技能培訓的持續投資，而傳統課堂培訓的相對重要性則持續下降。

在預測期內，機器學習訓練領域預計將佔據最大的市場規模。

預計在預測期內，機器學習培訓領域將佔據最大的市場佔有率。這是因為機器學習能力在幾乎所有人工智慧應用和工作中都發揮著基礎性作用，而企業對能夠構建、訓練和部署預測模型的專家的需求，正推動著個人學習者和企業培訓項目的報名人數持續成長，進一步鞏固了機器學習作為主要培訓類別的地位。

在預測期內，線上培訓領域預計將呈現最高的複合年成長率。

在預測期內，線上培訓領域預計將呈現最高的成長率。這主要歸功於學習者偏好靈活、自主地存取人工智慧驅動的課程，以及數位平台在覆蓋全球受眾方面所具備的擴充性優勢。隨著企業擴大採用訂閱式學習解決方案進行人才培養，這種模式將在所有地區加速普及，使線上培訓成為成長最快的培訓形式。

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。這主要得益於領先的人工智慧技術公司在該地區的集中、成熟的企業培訓預算以及美國各地公司對人工智慧技能發展項目的廣泛採用。 Coursera、Udemy 和 Pluralsight 等領先的平台供應商總部均設在該地區，而對人工智慧教育新創企業的積極風險投資也正在推動創新和市場擴張。

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、跨產業人工智慧應用的不斷擴展，以及印度、中國和東南亞各國政府為提升人工智慧素養而採取的各項舉措。印度在全球生成式人工智慧課程參與人數方面位居榜首，達到1,400萬人，反映出該地區對人工智慧技能發展的巨大需求。企業對員工技能再培訓的強勁需求也進一步加速了該地區的成長。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 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
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

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）技能培訓市場：按培訓類型分類

  • 機器學習訓練
  • 深度學習訓練
  • 自然語言處理（NLP）訓練
  • 電腦視覺訓練
  • 生成式人工智慧訓練
  • 人工智慧程式設計和開發培訓
  • 人工智慧倫理與負責任的人工智慧培訓
  • 其他訓練類型

第6章：全球人工智慧（AI）技能培訓市場：依培訓交付方式分類

  • 線上培訓
  • 面授培訓
  • 混合式培訓
  • 講師指導的虛擬培訓
  • 自主學習訓練

第7章 全球人工智慧（AI）技能培訓市場：按培訓提供者分類

  • 教育機構
  • 線上學習平台
  • 企業培訓提供者
  • 科技公司
  • 專業認證機構

第8章 全球人工智慧（AI）技能培訓市場：按應用領域分類

  • 員工技能發展與再培訓
  • 專業資格和職業發展
  • 人工智慧軟體開發
  • 資料科學與分析
  • 業務流程自動化

第9章 全球人工智慧（AI）技能培訓市場：按最終用戶分類

  • 資訊科技/通訊
  • 銀行、金融服務和保險（BFSI）
  • 衛生保健
  • 製造業
  • 零售與電子商務
  • 其他最終用戶

第10章：全球人工智慧（AI）技能培訓市場：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

  • Coursera, Inc.
  • Udemy, Inc.
  • edX（2U, Inc.）
  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • IBM Corporation
  • NVIDIA Corporation
  • DataCamp, Inc.
  • Udacity, Inc.
  • Simplilearn Solutions Pvt. Ltd.
  • Pluralsight, LLC
  • Skillsoft Corporation
  • LinkedIn Corporation
  • DeepLearning.AI
  • Great Learning
  • 365 Data Science
Product Code: SMRC40805

According to Stratistics MRC, the Global Artificial Intelligence Skills Training Market is accounted for $8.3 billion in 2026 and is expected to reach $20.3 billion by 2034 growing at a CAGR of 11.9% during the forecast period. Artificial intelligence skills training refers to structured educational programmes and learning platforms designed to equip individuals with the technical competencies and practical knowledge required to develop, deploy, and manage AI systems. These programmes cover foundational and advanced topics including machine learning algorithms, deep learning architectures, natural language processing, computer vision, generative AI models, and responsible AI practices. They are delivered through online courses, instructor-led virtual sessions, blended learning formats, and hands-on labs that provide practical experience with industry-standard tools and frameworks.

Market Dynamics:

Driver:

Enterprise AI Adoption and Workforce Reskilling Demand

The accelerating adoption of artificial intelligence across industries has created urgent demand for workforce reskilling, as organizations seek to integrate AI capabilities into their operations while their existing employees require new technical competencies. Artificial intelligence skills training addresses this challenge by delivering structured curricula that enable professionals to develop proficiency in machine learning, generative AI, and AI system deployment, which in turn helps enterprises realize productivity gains from AI investments and reduces the risk of talent shortages slowing transformation initiatives.

Restraint:

Rapid Content Obsolescence

The extraordinarily fast pace of AI technology evolution creates a persistent challenge for training providers, as course content covering specific models, frameworks, and tools can become outdated within months of publication. Curriculum development cycles struggle to keep pace with new model releases, changing APIs, and evolving best practices, which increases the cost of maintaining current content and can undermine learner confidence in programme relevance. This content lifecycle pressure requires continuous investment in curriculum refresh and instructor retraining, constraining margins for providers of all sizes.

Opportunity:

AI-Powered Personalized Learning Platforms

Artificial intelligence presents a substantial opportunity for training providers to deliver personalized learning pathways, adaptive skill assessments, and predictive competency gap analysis through AI-enabled platforms. By analysing learner performance, engagement patterns, and job role requirements, these systems can recommend targeted interventions that close specific skill gaps efficiently. Coursera's Project Helix, expected to be broadly available in 2027, exemplifies this trend by using AI to personalize learning paths and connect training outcomes with business results.

Threat:

Competition from Free and Low-Cost Alternatives

The proliferation of free educational content from technology vendors, open-source communities, and platform-generated resources poses a significant threat to commercial training providers. Google, Microsoft, and NVIDIA all offer extensive free training resources through initiatives such as Google's AI Research Foundations curriculum, Microsoft Learn, and NVIDIA's Deep Learning Institute open courseware hub . This free content pressures pricing for paid programmes and reduces the addressable market for premium offerings, particularly among individual learners and smaller organizations with limited training budgets.

Covid-19 Impact:

The Covid-19 pandemic accelerated the shift toward online and remote learning delivery, creating immediate demand for digital training platforms capable of supporting distributed learners. While this transition expanded access to AI skills training globally, it also intensified competition among online providers and normalized expectations for flexible, self-paced learning formats. Post-pandemic, the structural shift toward hybrid workforce development has embedded digital platforms within corporate learning strategies, driving sustained investment in online AI skills training while traditional classroom-based delivery continues to decline in relative importance.

The machine learning training segment is expected to be the largest during the forecast period

The machine learning training segment is expected to account for the largest market share during the forecast period, due to the foundational role that machine learning competencies play across virtually all AI applications and job roles, while enterprise demand for professionals capable of building, training, and deploying predictive models drives sustained enrolment across both individual learners and corporate training programmes, which in turn reinforces machine learning as the dominant training category.

The online training segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the online training segment is predicted to witness the highest growth rate, owing to learner preference for flexible, self-paced access to AI curricula and the scalability advantages that digital platform offer for reaching global audiences, as enterprises increasingly adopt subscription-based learning solutions for workforce development, which in turn accelerates adoption across all geographies and positions online delivery as the fastest-growing training mode.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by the concentration of leading AI technology companies, mature corporate training budgets, and widespread enterprise adoption of AI skills development programmes across the United States. Major platform providers including Coursera, Udemy, and Pluralsight are headquartered in the region, while strong venture investment in AI education startups sustains innovation and market expansion.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, propelled by rapid digital transformation, expanding AI adoption across industries, and government initiatives promoting AI literacy across India, China, and Southeast Asia. India ranks first globally in generative AI course consumption with 14 million enrolments, reflecting the region's enormous demand for AI skills development . Strong corporate demand for workforce reskilling further accelerates growth in this region.

Key players in the market

Some of the key players in Artificial Intelligence Skills Training Market include Coursera, Inc., Udemy, Inc., edX (2U, Inc.), Google LLC, Microsoft Corporation, Amazon Web Services, Inc., IBM Corporation, NVIDIA Corporation, DataCamp, Inc., Udacity, Inc., Simplilearn Solutions Pvt. Ltd., Pluralsight, LLC, Skillsoft Corporation, LinkedIn Corporation, DeepLearning.AI, Great Learning, and 365 Data Science.

Key Developments:

In October 2026, Microsoft Corporation partnered with Great Learning to launch a five-month Agentic AI for Practitioners Program covering Azure AI workflows, multi-agent orchestration, production deployment, and preparation for the Microsoft AI-103 certification.

In October 2026, Google LLC expanded its AI teacher training programme to Bihar, Madhya Pradesh, and Sikkim, reaching over 80,000 educators in India with free self-paced AI curriculum aligned with the National Education Policy 2020.

In August 2026, Coursera, Inc. launched "The AI-Powered Scrum Master," a seven-course specialization developed with Scrum Alliance that blends agile methodologies with responsible AI practices for professional certification.

Training Types Covered:

  • Machine Learning Training
  • Deep Learning Training
  • Natural Language Processing (NLP) Training
  • Computer Vision Training
  • Generative AI Training
  • AI Programming and Development Training
  • AI Ethics and Responsible AI Training
  • Other Training Types

Training Delivery Modes Covered:

  • Online Training
  • Classroom-Based Training
  • Blended Training
  • Instructor-Led Virtual Training
  • Self-Paced Training

Training Providers Covered:

  • Educational Institutions
  • Online Learning Platforms
  • Corporate Training Providers
  • Technology Companies
  • Professional Certification Bodies

Applications Covered:

  • Workforce Upskilling and Reskilling
  • Professional Certification and Career Development
  • AI Software Development
  • Data Science and Analytics
  • Business Process Automation

End Users Covered:

  • IT and Telecommunications
  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare
  • Manufacturing
  • Retail and E-Commerce
  • Other End Users

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 Skills Training Market, By Training Type

  • 5.1 Machine Learning Training
  • 5.2 Deep Learning Training
  • 5.3 Natural Language Processing (NLP) Training
  • 5.4 Computer Vision Training
  • 5.5 Generative AI Training
  • 5.6 AI Programming and Development Training
  • 5.7 AI Ethics and Responsible AI Training
  • 5.8 Other Training Types

6 Global Artificial Intelligence Skills Training Market, By Training Delivery Mode

  • 6.1 Online Training
  • 6.2 Classroom-Based Training
  • 6.3 Blended Training
  • 6.4 Instructor-Led Virtual Training
  • 6.5 Self-Paced Training

7 Global Artificial Intelligence Skills Training Market, By Training Provider

  • 7.1 Educational Institutions
  • 7.2 Online Learning Platforms
  • 7.3 Corporate Training Providers
  • 7.4 Technology Companies
  • 7.5 Professional Certification Bodies

8 Global Artificial Intelligence Skills Training Market, By Application

  • 8.1 Workforce Upskilling and Reskilling
  • 8.2 Professional Certification and Career Development
  • 8.3 AI Software Development
  • 8.4 Data Science and Analytics
  • 8.5 Business Process Automation

9 Global Artificial Intelligence Skills Training Market, By End User

  • 9.1 IT and Telecommunications
  • 9.2 Banking, Financial Services, and Insurance (BFSI)
  • 9.3 Healthcare
  • 9.4 Manufacturing
  • 9.5 Retail and E-Commerce
  • 9.6 Other End Users

10 Global Artificial Intelligence Skills Training 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 Coursera, Inc.
  • 13.2 Udemy, Inc.
  • 13.3 edX (2U, Inc.)
  • 13.4 Google LLC
  • 13.5 Microsoft Corporation
  • 13.6 Amazon Web Services, Inc.
  • 13.7 IBM Corporation
  • 13.8 NVIDIA Corporation
  • 13.9 DataCamp, Inc.
  • 13.10 Udacity, Inc.
  • 13.11 Simplilearn Solutions Pvt. Ltd.
  • 13.12 Pluralsight, LLC
  • 13.13 Skillsoft Corporation
  • 13.13 LinkedIn Corporation
  • 13.15 DeepLearning.AI
  • 13.16 Great Learning
  • 13.17 365 Data Science

List of Tables

  • Table 1 Global Artificial Intelligence Skills Training Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Artificial Intelligence Skills Training Market Outlook, By Training Type (2023-2034) ($MN)
  • Table 3 Global Artificial Intelligence Skills Training Market Outlook, By Machine Learning Training (2023-2034) ($MN)
  • Table 4 Global Artificial Intelligence Skills Training Market Outlook, By Deep Learning Training (2023-2034) ($MN)
  • Table 5 Global Artificial Intelligence Skills Training Market Outlook, By Natural Language Processing (NLP) Training (2023-2034) ($MN)
  • Table 6 Global Artificial Intelligence Skills Training Market Outlook, By Computer Vision Training (2023-2034) ($MN)
  • Table 7 Global Artificial Intelligence Skills Training Market Outlook, By Generative AI Training (2023-2034) ($MN)
  • Table 8 Global Artificial Intelligence Skills Training Market Outlook, By AI Programming and Development Training (2023-2034) ($MN)
  • Table 9 Global Artificial Intelligence Skills Training Market Outlook, By AI Ethics and Responsible AI Training (2023-2034) ($MN)
  • Table 10 Global Artificial Intelligence Skills Training Market Outlook, By Other Training Types (2023-2034) ($MN)
  • Table 11 Global Artificial Intelligence Skills Training Market Outlook, By Training Delivery Mode (2023-2034) ($MN)
  • Table 12 Global Artificial Intelligence Skills Training Market Outlook, By Online Training (2023-2034) ($MN)
  • Table 13 Global Artificial Intelligence Skills Training Market Outlook, By Classroom-Based Training (2023-2034) ($MN)
  • Table 14 Global Artificial Intelligence Skills Training Market Outlook, By Blended Training (2023-2034) ($MN)
  • Table 15 Global Artificial Intelligence Skills Training Market Outlook, By Instructor-Led Virtual Training (2023-2034) ($MN)
  • Table 16 Global Artificial Intelligence Skills Training Market Outlook, By Self-Paced Training (2023-2034) ($MN)
  • Table 17 Global Artificial Intelligence Skills Training Market Outlook, By Training Provider (2023-2034) ($MN)
  • Table 18 Global Artificial Intelligence Skills Training Market Outlook, By Educational Institutions (2023-2034) ($MN)
  • Table 19 Global Artificial Intelligence Skills Training Market Outlook, By Online Learning Platforms (2023-2034) ($MN)
  • Table 20 Global Artificial Intelligence Skills Training Market Outlook, By Corporate Training Providers (2023-2034) ($MN)
  • Table 21 Global Artificial Intelligence Skills Training Market Outlook, By Technology Companies (2023-2034) ($MN)
  • Table 22 Global Artificial Intelligence Skills Training Market Outlook, By Professional Certification Bodies (2023-2034) ($MN)
  • Table 23 Global Artificial Intelligence Skills Training Market Outlook, By Application (2023-2034) ($MN)
  • Table 24 Global Artificial Intelligence Skills Training Market Outlook, By Workforce Upskilling and Reskilling (2023-2034) ($MN)
  • Table 25 Global Artificial Intelligence Skills Training Market Outlook, By Professional Certification and Career Development (2023-2034) ($MN)
  • Table 26 Global Artificial Intelligence Skills Training Market Outlook, By AI Software Development (2023-2034) ($MN)
  • Table 27 Global Artificial Intelligence Skills Training Market Outlook, By Data Science and Analytics (2023-2034) ($MN)
  • Table 28 Global Artificial Intelligence Skills Training Market Outlook, By Business Process Automation (2023-2034) ($MN)
  • Table 29 Global Artificial Intelligence Skills Training Market Outlook, By End User (2023-2034) ($MN)
  • Table 30 Global Artificial Intelligence Skills Training Market Outlook, By IT and Telecommunications (2023-2034) ($MN)
  • Table 31 Global Artificial Intelligence Skills Training Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2023-2034) ($MN)
  • Table 32 Global Artificial Intelligence Skills Training Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 33 Global Artificial Intelligence Skills Training Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 34 Global Artificial Intelligence Skills Training Market Outlook, By Retail and E-Commerce (2023-2034) ($MN)
  • Table 35 Global Artificial Intelligence Skills Training Market Outlook, By Other End Users (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.