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教育領域的人工智慧：2023 年至 2028 年的預測
市場調查報告書
商品編碼
1410227

教育領域的人工智慧：2023 年至 2028 年的預測

Artificial Intelligence in Education - Forecasts from 2023 to 2028
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

2021年教育人工智慧市場規模達43.51億美元。預計到 2028 年，其複合年成長率將達到 33.91%，市場規模將達到 336.01 億美元。

在人工智慧教育領域，人工智慧驅動的解決方案和服務可用於傳遞知識，根據學生的表現對學生進行評估和分類，並實施智慧型輔導系統，以增強學生和教育工作者的學習旅程。各種角色。人工智慧在很大程度上依賴深度學習、機器學習和高級分析。此外，這些解決方案還提供量身定做的學習體驗，確保一流的教育質量，並鼓勵學習者在現有知識和技能的基礎上繼續發展。

教育人工智慧市場具有整合性強、競爭激烈的特性。主要參與者在區域和全球市場開展業務，並採取多種策略來增加市場佔有率。該產業的主要競爭對手包括 IBM、微軟和谷歌。

由於智慧型設備的普及和各領域的數位化趨勢，人工智慧在教育環境中的日益採用。此外，人工智慧解決方案可適應個人用戶的需求並提供量身定做的學習體驗。它預測學習者的路徑，提案學習軌跡，識別薄弱領域，並允許學習者評估需要改進的領域，最終提高學習者的表現。

人工智慧投資增加推動市場成長

對人工智慧的投資正在推動基於人工智慧的學習平台的成長。這些投資支持開發先進、個人化和有效的教育解決方案，以滿足對高效和客製化學習體驗不斷成長的需求。人工智慧主導的學習平台正在再形成教育，提供終身學習機會，反映人工智慧在教育領域的變革力量。根據 Niti Aayog 的《2021 年人工智慧國家戰略報告》，各國正加緊努力塑造未來的人工智慧勞動力。例如，英國的目標是到 2025 年創建 1000 多個政府支持的博士後研究職位，並為早期人工智慧研究員推出了圖靈獎學金。同時，中國推出了一項為期五年的大學計劃，培養至少 500 名教育工作者和 5,000 名專門從事人工智慧技術的學生。值得注意的是，不僅政府，企業也認知到人工智慧的重要性和潛力，並承諾對其進行投資。

市場促進因素

根據《我們的數據世界》2022年數據顯示，企業對人工智慧的投資大幅增加，私人投資大幅增加850.5億美國。其次是 771.7 億美元的併購，以及 57.4 億美元的首次公開發行。少數股權投資額達 75.7 億美元，凸顯了該公司對利用人工智慧技術潛力（特別是透過私人融資）的堅定承諾。

此外，人工智慧驅動的教育遊戲的整合預計將推動這些解決方案在 K-12 教育領域的採用。這種互動式學習方法增強了學生體驗，並幫助教育工作者提供更好的學習體驗。在最近的事態發展中，美國教育部發起了一項重大舉措，以加強 K-12 網路安全彈性。這包括成立政府協調委員會（GCC）以及出版三份K-12數位基礎設施簡報，其中包括旨在幫助改善K-12教育的K-12數位基礎設施簡報，旨在加強網路安全彈性社群並彙聚各行各業的相關人員。

預計北美市場佔有最大佔有率

由於公共和商業部門對人工智慧和教育科技的投資增加以及教育娛樂普及率不斷上升等因素，北美教育領域對人工智慧 (AI) 的需求不斷成長。全球教育對人工智慧的需求也受到技術創新的推動。

智慧內容在學校和其他教育機構中越來越受歡迎，因為它可以幫助教師更好地了解學習平台，從而在教育過程中發揮重要作用。對人工智慧支援的個人化教育解決方案的需求也是推動市場成長的因素之一。透過更了解學生、他們的興趣、教育背景和學術目標，這些解決方案有助於創造個人化體驗。

人工智慧在教育中的應用改善了學生和教師的學習環境。提高可訪問性、輔導、自動化評分和管理以及簡化流程只是人工智慧可以帶來的一些好處。根據國家教育統計中心的數據，在美國，私立營利性機構參加四年制學位課程遠端教育的大學部學生比例最高，為 71%，而公立和私立非營利組織的比例均為 20%。機構..

美國普通醫學科學研究所 (NIGMS) 正在部署自然語言處理 (NLP) 和機器學習 (ML)，以自動津貼撥款申請和內部查詢。這項新策略可確保高效且一致的津貼申請轉介，使專案經理免於耗時且繁瑣的轉介程序。

市場主要發展

  • 2023 年 8 月，專門從事 K-5 數學和閱讀的線上家教課程提供者 eSpark 宣布推出 Choice Texts，這是一種革命性的個體化閱讀教學方法。這種開創性的方法利用人工智慧讓學生能夠做出獨立選擇並探索他們在閱讀領域的獨特興趣。
  • 2023 年 8 月，Meta 發布了 SeamlessM4T，這是一種用於語音和文字翻譯的多模式 AI 模型。它可以執行多達 100 種語言的語音到文字、語音到語音、文字到文字和文字到文字翻譯，具體取決於具體任務。這些進步凸顯了人工智慧在教育、滿足多元需求和改善學習體驗方面的作用不斷擴大。
  • 2023年6月，微軟宣布了AI技能計劃，旨在使世界和社群能夠利用AI的潛力。該計劃包括與 LinkedIn 合作開發的免費課程以及與 data.org 的津貼挑戰，以培育創新方法來培訓、提高和再培訓員工的生成式 AI 待辦事項。
  • 2023年9月，安永斥資14億美元推出EY.ai平台。透過將人類專業知識與人工智慧相結合，該平台使客戶能夠自信且負責任地將人工智慧融入其業務轉型中。 EY.ai利用安永先進的技術平台、人工智慧能力以及在策略、交易、轉型、風險、保障、稅務等方面的豐富經驗，並由強大的人工智慧生態系統提供支援。
  • 2023 年 9 月，IBM 承諾在未來三年內為 200 萬人提供人工智慧培訓。 IBM 將透過與大學的全球合作、培訓 AI 成人學習者的夥伴關係以及在 IBM SkillsBuild 中引入創新的生成式 AI 課程來實現這一目標。
  • 2020 年 5 月，Jenzabar Unity 平台是一個整合的、高度擴充性的平台即服務(iPaaS) 解決方案，旨在提高營運效率並減少跨校園應用程式連接的技術障礙。 Jenzabar 是一家領先的高等教育創新公司，為新生提供服務。 Jenzabar Unity 平台使企業能夠使用集中、安全、雲端基礎的平台和不斷擴展的開箱即用 (OOB) 連接器集來建立自訂應用程式介面 (API)。
  • 2023 年 4 月，提供學生優先的連網型學習平台的 Chegg, Inc. 表示，OpenAI 的尖端模型 GPT-4 用於開發 CheggMate，這是一種新的人工智慧驅動的學習服務。 CheggMate 是一款 AI 對話式學習伴同性，利用 Chegg 業界領先的個人化學習平台、專有資料集以及 GPT4-4 的尖端問題解決能力，幫助學生變得比以往更有效率和準確。我們讓學習成為可能即時的。

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

第2章調查方法

  • 研究設計
  • 調查資料
  • 檢驗

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
  • 產業價值鏈分析

第5章：透過提供：教育領域的人工智慧市場

  • 介紹
  • 解決方案
  • 服務

第6章 依科技分類​​：教育領域的人工智慧市場

  • 介紹
  • 深度學習
  • 機器學習
  • 自然語言處理

第 7 章：按最終用戶分類：教育領域的人工智慧市場

  • 介紹
  • 學術學習
    • K-12教育
    • 高等教育
  • 企業學習

第8章 按地區分類：教育人工智慧市場

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 義大利
    • 其他
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 韓國
    • 印度
    • 台灣
    • 泰國
    • 印尼
    • 其他

第9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
  • 供應商競賽矩陣

第10章 公司簡介

  • IBM Corporation
  • Amazon Web Services Inc.
  • Microsoft
  • Google LLC
  • AI Brain Inc.
  • Cognizant
  • Nuance Communications, Inc.
  • Dailo
  • Cognii, Inc
簡介目錄
Product Code: KSI061612924

Artificial intelligence in the education market was worth US$4.351 billion in 2021. It is projected to exhibit a remarkable CAGR of 33.91%, reaching a market value of US$33.601 billion by 2028.

In the realm of AI in education, AI-powered solutions and services serve diverse roles, including delivering knowledge, assessing and categorizing students based on their performance, and deploying intelligent tutorial systems to enhance the learning journey for both students and educators. Artificial intelligence relies significantly on deep learning, machine learning, and advanced analytics. Moreover, these solutions deliver a tailored learning experience, ensuring top-notch education quality and facilitating learners in building upon their existing knowledge and skills.

Artificial intelligence in the education market is characterized by strong consolidation and intense competition. Key players operate both in regional and global markets and employ diverse strategies to expand their market share. Some of the prominent competitors in the industry include IBM, Microsoft, Google, and others.

The increasing adoption of artificial intelligence in education can be attributed to several factors driven by the widespread use of smart devices and the growing trend of digitization across various sectors. In addition, AI solutions offer tailored learning experiences, adapting to individual user needs. They predict student paths, suggest learning trajectories, identify areas of weakness, and empower learners to assess their improvement areas, ultimately enhancing their capabilities

Rising investment in artificial intelligence is fueling the market growth

The Investment in artificial intelligence is a catalyst for the growth of AI-based learning platforms. These investments empower the development of advanced, personalized, and effective educational solutions, meeting the rising demand for efficient and tailored learning experiences. AI-driven learning platforms are reshaping education, providing lifelong learning opportunities, and reflecting the transformative power of AI in education. Countries are intensifying their commitment to shaping the AI workforce of the future, in line with the Niti Aayog National Strategy for Artificial Intelligence report from 2021. For example, the U.K. aims to establish more than 1,000 government-backed PhD researchers by 2025 and is initiating a Turing fellowship for early AI fellows. Meanwhile, China has launched a five-year university initiative to educate a minimum of 500 educators and 5,000 students focused on AI technologies. Notably, not only national governments but also corporations are increasingly recognizing the significance and potential of AI and have pledged investments.

Market drivers

According to the Our World in Data in 2022, the data indicates a substantial corporate investment in artificial intelligence, with private investments leading at a significant 85.05 billion US dollars. This is closely followed by mergers and acquisitions at 77.17 billion, while public offerings represent a smaller share at 5.74 billion. Minority stakes round out the investment types at 7.57 billion, emphasizing the strong commitment of corporations to harness the potential of AI technologies, particularly through private funding.

Additionaly, the integration of AI-powered educational games is anticipated to drive the adoption of these solutions in the K-12 education sector. This interactive learning approach enhances the student experience and assists educators in providing better learning experiences. In a recent development, the U.S. Department of Education has launched key initiatives to enhance K-12 cybersecurity resilience. These include the establishment of a Government Coordinating Council (GCC) and the release of three K-12 Digital Infrastructure briefs, such as "K-12 Digital Infrastructure Brief: Defensible and Resilient." These efforts aim to strengthen cybersecurity resilience in the K-12 education community and bring together stakeholders from various sectors.

North America is predicted to hold the largest market share for the market

The need for artificial intelligence (AI) in education in the North American region is being driven by factors including rising investments in AI and EdTech by the public and commercial sectors, as well as rising edutainment penetration. The need for AI in education globally is also being fueled by technological innovation.

Smart content is gaining popularity in schools and other educational institutions because it helps teachers better understand learning platforms, which in turn plays a significant role in the teaching process. The demand for personalized education solutions supported by AI is another factor driving market growth. By aiding in a better understanding of students, their interests, educational history, and academic objectives, these solutions help to produce a personalized experience.

The use of AI in education improves the learning environment for both students and teachers. Improved accessibility, coaching, automated grading and administration, and simplified processes are just a few advantages it provides. According to the National Center for Education Statistics, the percentage of undergraduate students in the USA who participated in distance education for 4-year degree programs was highest for private for-profit organizations which made up 71%, whereas for both public and private non-profit organizations was 20%.

The National Institute of General Medical Sciences (NIGMS), has implemented Natural Language Processing (NLP) and Machine Learning (ML) to automate the procedure for receiving and internally referring grant applications. Program Managers are freed from the time-consuming and monotonous referral procedure owing to this new strategy, which guarantees efficient and consistent grant application referrals.

Market Key Developments

  • In August 2023, eSpark, an online supplemental curriculum provider specializing in K-5 math and reading, unveiled Choice Texts, a groundbreaking approach to personalized reading instruction. This pioneering method harnesses artificial intelligence to empower students, enabling them to make independent choices and explore their unique interests in the realm of reading .
  • In August 2023, Meta introduced SeamlessM4T, a Multimodal AI Model for Speech and Text Translations, capable of performing speech-to-text, speech-to-speech, text-to-speech, and text-to-text translations in up to 100 languages, depending on the specific task. These advancements underscore the growing role of AI in the education sector, addressing diverse needs and enhancing the learning experience.
  • In June 2023, Microsoft unveiled its AI Skills Initiative, aimed at enabling global communities to harness the potential of AI. This initiative includes free coursework developed in collaboration with LinkedIn and a grant challenge with data.org, promoting innovative ways to train, upskill, and reskill workers in generative AI.
  • In September 2023, EY introduced the EY.ai platform, backed by a substantial $1.4 billion investment. This platform combines human expertise with artificial intelligence to empower clients to confidently and responsibly integrate AI into their business transformations. EY.ai harnesses advanced EY technology platforms, AI capabilities, and extensive experience in areas such as strategy, transactions, transformation, risk, assurance, and taxation, all fortified by a robust AI ecosystem.
  • In September 2023, IBM has pledged to provide AI training to 2 million individuals over the next three years, with a particular emphasis on underrepresented communities. IBM will achieve this objective through worldwide collaborations with universities, partnerships for AI training among adult learners, and the introduction of innovative generative AI courses within IBM SkillsBuild
  • In May 2020, the Jenzabar Unity Platform was a unified, highly scalable integration platform-as-a-service (iPaaS) solution created to increase operational efficiency and lower the technical barriers involved in connecting campus-wide applications. Jenzabar is a leading technology innovator in higher education serving new students. The Jenzabar Unity Platform gives businesses the ability to create custom application programming interfaces (APIs) using a centralized, secure cloud-based platform and an ever-expanding set of out-of-the-box (OOB) connectors.
  • In April 2023, the most cutting-edge model of OpenAI, GPT-4, was used to create CheggMate, a new AI-enhanced learning service, according to Chegg, Inc., the premier student-first connected learning platform. CheggMate, an AI conversational learning companion, made use of Chegg's industry-leading personalized learning platform, proprietary data set, and GPT4 -4's cutting-edge problem-solving capabilities to empower students to learn in real-time more efficiently and accurately than ever.

Segmentation:

By Offering

  • Solutions
  • Services

By Technology

  • Deep Learning
  • Machine Learning
  • Natural Language Processing

By End-Users

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

By Geography

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

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Data
  • 2.3. Validation

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

5. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY OFFERING

  • 5.1. Introduction
  • 5.2. Solutions
  • 5.3. Services

6. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Deep Learning
  • 6.3. Machine Learning
  • 6.4. Natural Language Processing

7. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY END USERS

  • 7.1. Introduction
  • 7.2. Academic Learning
    • 7.2.1. K-12 Education
    • 7.2.2. Higher Education
  • 7.3. Corporate Learning

8. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET, BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Italy
    • 8.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. South Korea
    • 8.6.4. India
    • 8.6.5. Taiwan
    • 8.6.6. Thailand
    • 8.6.7. Indonesia
    • 8.6.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. IBM Corporation
  • 10.2. Amazon Web Services Inc.
  • 10.3. Microsoft
  • 10.4. Google LLC
  • 10.5. AI Brain Inc.
  • 10.6. Cognizant
  • 10.7. Nuance Communications, Inc.
  • 10.8. Dailo
  • 10.9. Cognii, Inc