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市場調査レポート
商品コード
1628982
教育・学習アナリティクスの市場規模、シェア、成長分析、コンポーネント別、展開モード別、分析タイプ別、エンドユーザー別、用途別、地域別 - 産業予測、2025~2032年Education and Learning Analytics Market Size, Share, Growth Analysis, By Component (Software, Services), By Deployment Mode (On-Premises, Cloud-Based), By Analytics Type, By End-User, By Application, By Region - Industry Forecast 2025-2032 |
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教育・学習アナリティクスの市場規模、シェア、成長分析、コンポーネント別、展開モード別、分析タイプ別、エンドユーザー別、用途別、地域別 - 産業予測、2025~2032年 |
出版日: 2025年01月08日
発行: SkyQuest
ページ情報: 英文 312 Pages
納期: 3~5営業日
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教育・学習アナリティクスの世界市場規模は2023年に355億米ドルと評価され、予測期間(2025-2032年)のCAGRは23.3%で、2024年の437億7,000万米ドルから2032年には2,338億3,000万米ドルに成長する見通しです。
世界の教育・学習アナリティクス市場は、特に高等教育機関やMOOCプロバイダーにおいて、テーラーメイドの教育体験、学生の定着率、成績向上に対する需要の高まりに後押しされ、急速な拡大を遂げています。教育機関では、教育手法の強化、学生の学習状況のモニタリング、課題の特定にデータを活用する動きが加速しています。この成長は、教育の近代化に焦点を当てた政府の重要なイニシアチブによってさらに促進されています。しかし、教育機関の間でデータ衛生慣行やアナリティクスの標準が理解されていないなどの課題も残っています。さらに、データプライバシーに関する懸念とともに、アナリティクスソリューションに関する誤解が市場成長の障害となっています。注目すべきは、AIと機械学習の統合が新たな機会をもたらす一方で、遠隔学習の台頭やクラウドベースのアナリティクスの採用といった動向がこの分野を形成し続けていることです。
Global Education and Learning Analytics Market size was valued at USD 35.5 billion in 2023 and is poised to grow from USD 43.77 billion in 2024 to USD 233.83 billion by 2032, growing at a CAGR of 23.3% during the forecast period (2025-2032).
The global Education and Learning Analytics Market is experiencing rapid expansion, particularly in higher education and MOOC providers, driven by the increasing demand for tailored educational experiences, student retention, and performance improvement. Educational institutions are increasingly leveraging data to enhance teaching methodologies, monitor student progress, and identify challenges. This growth is further fueled by significant government initiatives focused on educational modernization. However, challenges persist, including a lack of understanding of data hygiene practices and analytics standards among institutions. Additionally, misconceptions about analytics solutions, alongside data privacy concerns, pose obstacles to market growth. Notably, the integration of AI and machine learning presents new opportunities, while trends such as the rise of remote learning and the adoption of cloud-based analytics continue to shape the sector.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Education And Learning Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Education And Learning Analytics Market Segmental Analysis
Global Education and Learning Analytics Market is segmented by Component, Deployment Mode, Analytics Type, End-User, Application and region. Based on Component, the market is segmented into Software and Services. Based on Deployment Mode, the market is segmented into On-Premises and Cloud-Based. Based on Analytics Type, the market is segmented into Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. Based on End-User, the market is segmented into Academic Institutions, Corporate and Government Agencies. Based on Application, the market is segmented into People Acquisition and Retention, Curriculum Development and Intervention, Performance Management, Budget and Finance Management and Operations Management. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Education And Learning Analytics Market
The Global Education and Learning Analytics market is poised for significant growth driven by rapid advancements in the education sector. As educational institutions increasingly adopt e-learning tools, they generate vast amounts of data on student performance, courses, and faculty effectiveness. This wealth of information allows organizations to implement innovative strategies to engage current and prospective students while enabling informed, data-driven decisions on student retention, graduation rates, and faculty productivity. Governments worldwide are recognizing the value of education and learning analytics, launching initiatives to enhance educational outcomes and accessibility. For instance, Ontario's investment of $50 million in educational technology exemplifies the trend towards supporting data-driven educational strategies, further fueling market expansion.
Restraints in the Global Education And Learning Analytics Market
The Global Education and Learning Analytics market faces significant challenges that could impede its growth, primarily due to security threats. The processes of collecting, storing, and analyzing data are pivotal, yet any compromise in this data could lead to serious implications. To develop accurate models, access to high-quality and diverse data that extends beyond typical learner data is essential. Furthermore, analytics must be adaptable to various academic fields rather than applied universally across institutions. This necessitates a tailored approach that addresses specific environments, contributing to the ongoing obstacles the Educational and Learning Analytics market will encounter throughout the projected growth period.
Market Trends of the Global Education And Learning Analytics Market
The Global Education and Learning Analytics market is experiencing robust growth, fueled by the booming education sector and the increasing integration of machine learning technologies. Key drivers include the adoption of software-based systems such as virtual learning environments (VLEs), learning management systems (LMS), and student information systems, which enhance educational delivery and engagement. The proliferation of e-learning tools has further allowed students to access knowledge more efficiently within traditional frameworks. Additionally, advancements in digital platforms that aggregate and analyze student performance data are propelling market demand. As awareness of the benefits of education analytics for developing effective training programs rises, the market is poised for continued expansion.