查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1574173

教育領域人工智慧市場－2024年至2029年預測

Artificial Intelligence in Education Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 117 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

2024年教育領域人工智慧市場規模將達102.48億美元。預計2029年市場規模將達434.67億美元，複合年成長率高達33.51%。

基於人工智慧的解決方案和服務在教育領域有多種應用。其範圍從提供知識到根據每個學生的表現量身定做學習體驗。此外，人工智慧可用於策略性部署自適應輔導系統，以改善學習解決方案，並為教育領域的教育工作者和學生付加更好的價值。人工智慧主要與深度學習、機器學習和分析一起使用。此外，這些解決方案為所有學習者提供互動式學習體驗，確保教育品質並支持學習者當前知識和技能的提升。

教育領域的人工智慧市場高度分散，大多數產業參與者在創新上處於領先地位。主要參與者正在採取一切策略來擴大其在區域和全球市場的影響力並佔領大部分市場。這些市場參與者包括IBM、微軟、Google等。

以智慧型設備的使用和各行業數位化標誌的數位技術的興起，是人工智慧教育多元化的根本驅動力。此外，人工智慧解決方案提供個人化的學習體驗，以滿足每個使用者的需求。它預測學生的路徑，提供學習軌跡，找出弱點，並允許學習者評估需要改進的領域。這將有助於增強學生的能力，並有望在預測期內推動人工智慧在教育市場的成長。

教育領域人工智慧市場促進因素：

  • 人工智慧投資的增加預計將推動全球教育人工智慧市場的成長。

基於人工智慧的學習平台與教育領域的人工智慧投資直接相關。這項投資將有助於使教育更加複雜和個人化，隨著學習中的個人主義變得越來越有效，這是必要的。人工智慧正在透過人工智慧主導的學習平台改變人們的學習方式。人工智慧主導的教育平台將重塑教育，創造終身學習的潛力，並開始證明人工智慧在教育領域的成長潛力。

這些努力包括加強各國對增強未來人工智慧勞動力能力的承諾，這與 Niti Aayog 國家人工智慧戰略報告一致。例如，英國設定了在 2025 年培養 1000 多名政府支持的博士的目標，並宣佈為早期人工智慧研究人員提供圖靈獎學金。同時，中國於 2018 年 4 月啟動了一項為期五年的大學計劃，為至少 500 名教職人員和 5,000 名學生提供人工智慧技術教育。此外，政府和企業正在認知到人工智慧的重要性，並積極投資其潛力。

教育領域人工智慧市場地域展望：

  • 北美地區預計將在教育領域的人工智慧市場中佔據主要佔有率。

北美教育市場對人工智慧的需求受到高教育娛樂滲透率以及公共和商業部門對人工智慧和教育科技投資增加的推動。此外，科技創新也促進了全球教育領域對人工智慧的需求。將人工智慧應用於教育將提高學者和教師的學習水平。它提供了諸如更好的可訪問性、指導、自動評分和管理以及簡化流程等優點。

此外，北美國家，特別是美國，擴大在學校和教育機構中利用智慧內容，因為它能夠提供對教育部門至關重要的學習平台的見解。對人工智慧支援的個人化教育解決方案的需求進一步加劇了這種成長。這些解決方案有助於更深入地了解學生的興趣、教育背景、未來的學術目標等，從而無法提供個人化服務。

為什麼要購買這份報告？

  • 精闢的分析：
  • 。競爭格局：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶群、政府政策、社會經濟因素、消費者偏好、產業和其他子區隔：
  • 市場促進因素與未來趨勢：
  • 可行的建議：
  • 迎合廣泛的受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業來說有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 區域收益成長和預測分析，包括細分市場和國家
  • 公司概況（特別是關鍵市場開拓）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章 教育領域人工智慧市場：依技術分類

  • 介紹
  • 深度學習
  • 機器學習
  • 自然語言處理
  • 電腦視覺

第6章 教育領域人工智慧市場：依發展分類

  • 介紹
  • 雲
  • 本地

第7章 教育領域人工智慧市場：按解決方案

  • 介紹
  • 軟體
  • 服務
  • 硬體

第8章 教育領域人工智慧市場：依最終用戶分類

  • 介紹
  • 車
  • 溝通
  • 製造業
  • 衛生保健
  • 其他

第9章 教育領域人工智慧市場：分地區

  • 介紹
  • 北美洲
    • 依技術
    • 按發展
    • 按解決方案
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 依技術
    • 按發展
    • 按解決方案
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 依技術
    • 按發展
    • 按解決方案
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 依技術
    • 按發展
    • 按解決方案
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 依技術
    • 按發展
    • 按解決方案
    • 按最終用戶
    • 按國家/地區

第10章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第11章 公司簡介

  • Intel Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • IBM Corporation
  • NVIDIA Corporation
  • People.ai Inc
  • Cisco Systems
  • Verint Systems
  • Salesforce
  • Siemens AG
簡介目錄
Product Code: KSI061612924

Artificial intelligence in the education market is worth US$10.248 billion in 2024. It is projected to exhibit a remarkable CAGR of 33.51%, reaching a market value of US$43.467 billion by 2029.

AI-based solutions and services have various applications in education. These range from delivering knowledge to customizing learning experiences for each student based on their performance. Additionally, AI can be used to strategically deploy adaptive tutorial systems, improving learning solutions and adding better value for both educators and students in the education domain. AI mostly works on deep learning, machine learning, and analytics. Moreover, these solutions provide an interactive learning experience for every learner, guarantee the quality of education, and support learners in advancing their current knowledge and skills.

The market for AI in education is highly fragmented, with most industry players leading with innovations. Key players are expanding their presence in regional and global markets and adopting all strategies to acquire a large portion of the market. These market players include IBM, Microsoft, and Google, among others.

The rise of digital technology, marked by the use of smart devices and digitization across all verticals, is a fundamental driver for this diversification in AI-based education. Furthermore, AI solutions provide individualized learning experiences to meet the requirements of each user. They anticipate students' paths, proffer learning trajectories, pinpoint weaknesses, and leave learners to evaluate their areas in need of improvement. This helps in augmenting student capabilities, which are expected to foster AI in the education market's growth over the forecast period.

ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET DRIVERS:

  • Increasing investment in AI is anticipated to drive the growth of global AI in the education market.

AI-based Learning platforms are directly related to the investment in AI in the education sector. Its investment helps make education much more advanced and personalized, which is necessary with increasingly effective individualism in learning. AI is changing the way people learn using AI-driven learning platforms. The AI-driven educational platforms will start to remake education, create lifelong learning possibilities, and prove to be the positive growing potential of AI in education.

These efforts include increasing the commitments by countries to bolster the future AI workforce, consistent with a report from Niti Aayog National Strategy for Artificial Intelligence. For example, the UK has set a target to deliver more than 1,000 government-supported PhD researchers by 2025 and has announced Turing fellowships for early AI researchers. China, meanwhile, initiated a university project in April 2018 that ran for five years and educated at least 500 teachers and 5,000 students on AI tech. Further, national governments and corporations are realizing how important AI is and actively investing in its potential.

Artificial Intelligence In Education Market Geographical Outlook:

  • The North American region is expected to hold a significant artificial intelligence in education market share.

The demand for artificial intelligence in the education market in the North American region is driven by increased investments in AI and EdTech by the public and commercial sectors, along with high edutainment penetration. Further, technological innovation also contributes to promoting the demand for AI in education worldwide. The application of AI in education increases the learning standard for academics and instructors. It offers better accessibility, coaching, automatic grading and administration, and ease of process, amongst other benefits.

Moreover, countries in North America, especially the United States, are increasingly utilizing smart content in schools and educational institutions due to its capability to give insights about learning platforms, which are vital for the teaching sector. The demand for AI-supported, personalized education solutions further accentuates this growth. These solutions assist in understanding students more profoundly, their interests, educational background, and future academic goals, which makes them unable to provide personalized services.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The Artificial Intelligence In Education market is segmented and analyzed as below:

By Technology

  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Computer Vision

By Deployment

  • Cloud
  • On-premise

By Solution

  • Software
  • Services
  • Hardware

By End-User

  • Automotives
  • Communications
  • Manufacturing
  • Healthcare
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Singapore
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Deep Learning
  • 5.3. Machine Learning
  • 5.4. Natural Language Processing
  • 5.5. Computer Vision

6. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY DEPLOYMENT

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

7. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY SOLUTION

  • 7.1. Introduction
  • 7.2. Software
  • 7.3. Services
  • 7.4. Hardware

8. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY END-USER

  • 8.1. Introduction
  • 8.2. Automotives
  • 8.3. Communications
  • 8.4. Manufacturing
  • 8.5. Healthcare
  • 8.6. Others

9. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Technology
    • 9.2.2. By Deployment
    • 9.2.3. By Solution
    • 9.2.4. By End-User
    • 9.2.5. By Country
      • 9.2.5.1. USA
      • 9.2.5.2. Canada
      • 9.2.5.3. Mexico
  • 9.3. South America
    • 9.3.1. By Technology
    • 9.3.2. By Deployment
    • 9.3.3. By Solution
    • 9.3.4. By End-User
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 9.4. Europe
    • 9.4.1. By Technology
    • 9.4.2. By Deployment
    • 9.4.3. By Solution
    • 9.4.4. By End-User
    • 9.4.5. By Country
      • 9.4.5.1. United Kingdom
      • 9.4.5.2. Germany
      • 9.4.5.3. France
      • 9.4.5.4. Italy
      • 9.4.5.5. Spain
      • 9.4.5.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. By Technology
    • 9.5.2. By Deployment
    • 9.5.3. By Solution
    • 9.5.4. By End-User
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
      • 9.5.5.2. UAE
      • 9.5.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. By Technology
    • 9.6.2. By Deployment
    • 9.6.3. By Solution
    • 9.6.4. By End-User
    • 9.6.5. By Country
      • 9.6.5.1. China
      • 9.6.5.2. Japan
      • 9.6.5.3. India
      • 9.6.5.4. South Korea
      • 9.6.5.5. Australia
      • 9.6.5.6. Singapore
      • 9.6.5.7. Indonesia
      • 9.6.5.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Intel Corporation
  • 11.2. Microsoft Corporation
  • 11.3. Oracle Corporation
  • 11.4. IBM Corporation
  • 11.5. NVIDIA Corporation
  • 11.6. People.ai Inc
  • 11.7. Cisco Systems
  • 11.8. Verint Systems
  • 11.9. Salesforce
  • 11.10. Siemens AG