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市场调查报告书
商品编码
1846019

自我调整学习软体市场,2024-2031:按组件、公司规模、应用、最终用户和地区划分

Adaptive Learning Software Market By Component, Enterprise Size, Application, End-User, & Region for 2024-2031

出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格
简介目录

自我调整学习软体市场评估 - 2024-2031

对个人化学习解决方案的需求不断增长、对数位学习平台的日益接受度以及对具有成本效益和可扩展性的教育解决方案的需求不断增长,这些都可能推动自适应学习软体市场的发展。根据 Verified Market Research 分析师的预测,自我调整学习软体市场到 2031 年的估值将达到 199.3722 亿美元,低于 2024 年的约 38.5547 亿美元。

随着企业和教育机构越来越多地使用机器学习和人工智慧等新兴技术来创造个人化的学习体验,从而提高参与度和保留率,自我调整学习软体市场预计将大幅增长,推动市场在 2024 年至 2031 年期间的复合年增长率达到 22.8%。

自适应学习软体市场定义/概述

自我调整学习软体是一种技术主导的教育策略,它利用演算法和人工智慧来个人化学习体验,根据每个学生的表现和需求客製化内容和考试。这些程式不断探索学习者的理解和技能,提供针对特定知识差距的客製化资源和练习,并根据学习者自身的节奏调整学习进度。自我调整学习软体广泛应用于K-12教育、高等教育和企业培训等各个领域。在教育领域,它可以支持差异化教学,使教师能够有效地满足学生的多样化需求。

推动自我调整学习软体市场成长的关键因素是什么?

教育数位化的日益普及是自我调整学习软体市场的主要驱动力。根据EDUCAUSE《2023年地平线报告》,目前95%的高等教育机构提供某种形式的线上学习。美国教育部的数据表明,2019年至2023年间,至少参加一门数位学习课程的K-12学生人数增加了323%。数位学习平台的日益普及为自我调整学习软体的应用提供了理想的环境。

针对特定学生需求的个人化教育需求推动了自适应学习软体的使用。根据美国国家教育统计中心 (NCES) 的数据,71% 的教师表示,科技使他们能够针对不同学习需求的学生进行差异化教学。盖兹基金会的一份报告发现,使用个人化学习环境的学生在数学和阅读方面的表现比在标准学习环境中的同龄人高出约 3 个百分点。

此外,教育机构越来越多地使用自我调整学习软体来提高学生参与度并改善学习成果。根据麦格劳-希尔的一项民意调查,87% 的学生表示使用自我调整学习技术来提高成绩。发表在《npj学习科学》杂誌上的一项研究发现,使用自我调整学习平台的学生的考试成绩比使用传统学习方法的学生高出 15%。

自适应学习软体的广泛应用有哪些潜在障碍?

教育工作者和机构对自我调整学习软体的优势和功能缺乏了解和理解,是一大障碍。许多教育工作者不愿意使用此类技术,因为他们不完全了解它如何促进个人化学习体验。这种知识的缺乏导致现有资源利用不足,最终限制了市场的成长潜力。

另一个缺点是实施自我调整学习软体的成本高昂。许多教育机构,尤其是新兴国家的教育机构,难以为这项尖端技术拨款足够的资金。许可、员工培训和软体维护相关的高昂成本阻碍了教育机构对自我调整学习解决方案的投资,从而限制了该领域的市场成长。

此外,良好的教师培训需求是成功应用自我调整学习软体的一大障碍。教育工作者需要接受适当的培训,才能有效地使用这些工具并将其融入教学方法。如果没有适当的培训,自我调整学习的潜在优势就无法充分发挥,导致教育机构对这些技术的应用效率低下,并降低其兴趣。

目录

第一章 引言

  • 市场定义
  • 市场区隔
  • 调查方法

第二章执行摘要

  • 主要发现
  • 市场概况
  • 市集亮点

第三章 市场概况

  • 市场规模和成长潜力
  • 市场趋势
  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析

第四章 自适应学习软体市场(依部署模式)

  • 云端基础
  • 本地部署

第五章 自适应学习软体市场(按应用)

  • K-12
  • 高等教育
  • 公司

第六章自我调整学习软体市场:依其他细分市场

  • 内容类型
  • 功能
  • 目标受众

第七章区域分析

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 澳洲
  • 拉丁美洲
  • 巴西
  • 阿根廷
  • 智利
  • 中东和非洲
  • 南非
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国

第八章市场动态

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • COVID-19 市场影响

第九章 竞争态势

  • 主要企业
  • 市占率分析

第十章:公司简介

  • Smart Sparrow
  • Knewton(acquired by Wiley)
  • McGraw-Hill Education
  • DreamBox Learning
  • Pearson Education
  • D2L(Desire2Learn)
  • K12 Inc.
  • Cognii
  • DreamBox Learning
  • Kaltura

第十一章 市场展望与机会

  • 新兴技术
  • 未来市场趋势
  • 投资机会

第十二章 附录

  • 简称列表
  • 来源和参考文献
简介目录
Product Code: 54817

Adaptive Learning Software Market Valuation - 2024-2031

The rising demand for individualized learning solutions, increased acceptance of digital learning platforms, and a growing need for cost-effective and scalable education solutions are likely to boost the adaptive learning software market. According to the analyst from Verified Market Research, the adaptive learning software market is estimated to reach a valuation of USD 19937.22 Million by 2031 over the forecast subjugating around USD 3855.47 Million valued in 2024.

The market for adaptive learning software is expected to grow significantly as businesses and educational institutions increasingly use modern technology like machine learning and artificial intelligence to create individualized learning experiences that increase engagement and retention. It enables the market to grow at a CAGR of 22.8% from 2024 to 2031.

Adaptive Learning Software Market: Definition/ Overview

Adaptive Learning Software is a technology-driven educational strategy that personalizes learning experiences by using algorithms and artificial intelligence to tailor content and exams to each student's performance and needs. This program continuously examines a learner's comprehension and skills, allowing it to give tailored resources and exercises that target specific knowledge gaps or develop their learning at their speed. Adaptive learning software has a wide range of applications in K-12 education, higher education, and corporate training, where it improves student engagement and involvement by providing personalized learning routes. In educational settings, it can support differentiated instruction, allowing teachers to efficiently meet the diverse requirements of their students.

What are the Key Factors Propelling the Growth of the Adaptive Learning Software Market?

The growing digitalization of education is a major driver of the adaptive learning software market. According to the EDUCAUSE Horizon Report 2023, 95% of higher education institutions now provide some type of online learning. According to the US Department of Education, between 2019 and 2023, the number of K-12 pupils enrolled in at least one digital learning course climbed by 323 percent. The increased usage of digital learning platforms provides an ideal environment for the application of adaptive learning software.

The demand for personalized education tailored to specific student needs is driving the use of adaptive learning software. According to the National Center for Education Statistics (NCES), 71% of instructors say that technology enables them to differentiate instruction for students with varying learning needs. Also, according to a Gates Foundation report, pupils in personalized learning environments improved in mathematics and reading by around 3 percentile points more than their classmates in standard learning contexts.

Furthermore, educational institutions are increasingly using adaptive learning software to boost student engagement and improve learning outcomes. According to a McGraw Hill poll, 87% of students reported using adaptive learning technologies to boost their grades. Also, a study published in the journal npj Science of Learning discovered that students who used adaptive learning platforms performed 15% better on tests than those who used traditional learning methods.

What are the Potential Barriers Hindering the Widespread Adoption of Adaptive Learning Software?

The lack of knowledge and comprehension among educators and institutions regarding the advantages and features of adaptive learning software is one major barrier. Many educators are hesitant to utilize these technologies because they might not fully comprehend how they boost personalized learning experiences. This lack of knowledge leads to underutilization of available resources, ultimately limiting the market's potential for growth.

The high installation costs of adaptive learning software present another difficulty. Many educational institutions, particularly in developing countries, struggle to devote adequate funding for these latest technologies. The high cost of obtaining licenses, training people, and maintaining software discourages institutions from investing in adaptive learning solutions, limiting market growth in such sectors.

Furthermore, the necessity for good teacher training is a major impediment to the successful application of adaptive learning software. Educators need proper training to use these tools efficiently and integrate them into their teaching methods. Without adequate training, the potential benefits of adaptive learning are not completely realized, resulting in ineffective use and decreased interest in these technologies among educational institutions.

Category-Wise Acumens

How Does the Comprehensive Functionality of Solutions Contribute to Market Expansion?

According to VMR Analysis, the solution segment is estimated to hold the largest market share of the market during the forecast period. Adaptive learning solutions provide a comprehensive set of capabilities, including content distribution, evaluation tools, learning analytics, and personalization algorithms. This all-in-one strategy appeals to educational institutions and corporate training departments looking to apply adaptive learning without having to integrate many independent systems, resulting in higher adoption rates for full-featured solutions.

Solution providers provide cloud-based platforms that can be readily scaled to accommodate larger numbers of users. This scalability, combined with the flexibility to serve several institutions or departments with a single implementation, makes solutions less expensive for large-scale deployments than specialized services, adding to their market domination.

Furthermore, solution suppliers are always improving their solutions with new features, smarter algorithms, and larger content libraries. This continual development means that institutions have access to the most recent advances in adaptive learning technology without incurring major additional costs, making solutions a more appealing and future-proof alternative than one-time service engagements.

What are the Main Factors Driving Integrated Learning Management System (LMS) in the Market?

The integrated learning management system (LMS) segment is estimated to dominate the adaptive learning software market during the forecast period. Integrated LMS systems offer a unified platform for adaptive learning, course management, content delivery, assessment tools, and administrative tasks. This all-in-one strategy makes deployment and management easier for educational institutions and organizations, eliminating the need for numerous distinct systems and streamlining the overall learning experience for both instructors and students.

Integrated LMS systems have powerful analytics capabilities, combining data from numerous learning activities to provide full insights into student performance and engagement. This data-rich environment allows institutions to make more informed decisions about curriculum design, resource allocation, and targeted interventions, resulting in better learning outcomes and operational efficiency.

Furthermore, integrated LMS systems are intended to integrate seamlessly with an institution's existing IT infrastructure and third-party instructional tools. This interoperability lowers implementation obstacles, enables gradual adoption of adaptive learning features, and maximizes the value of existing educational technology investments, making it a desirable alternative for a wide spectrum of educational institutions and corporate training departments.

Country/Region-wise Acumens

What are the Factors Contributing to the Dominance of North America in the Market?

According to VMR Analyst, North America is estimated to dominate the adaptive learning software market during the forecast period. North America, particularly the United States, has seen a surge in the use of digital learning technology. According to the National Center for Education Statistics (NCES), by 2021, 99% of public schools in the United States had high-speed internet connectivity, making adaptive learning software easier to use. Also, according to a poll conducted by the Consortium for School Networking (CoSN), 90% of K-12 school districts in the United States adopted some form of digital learning platform by 2023, indicating a substantial market for adaptive learning solutions.

North America leads in educational technology investment, which is fueling the growth of the adaptive learning software market. According to EdTech Magazine, the US K-12 education technology market was worth $35.8 billion in 2023, with an annual growth rate of 18.5% expected through 2028. This considerable investment fosters the development and implementation of innovative adaptive learning systems.

Furthermore, North American higher education institutions are increasingly emphasizing personalized learning experiences, increasing demand for adaptive learning software. According to an EDUCAUSE study, 78% of North American higher education institutions perceive adaptive learning technologies to be strategically crucial for their future. Also, the Online Learning Consortium reports that 71% of US schools and universities use adaptive learning technology to improve student results and retention rates.

What are the Key Factors Driving the Demand for Adaptive Learning Software in the Asia Pacific Region?

The Asia Pacific region is estimated to exhibit the highest growth within the market during the forecast period. The Asia Pacific region has a large student population, which creates a significant market for adaptive learning software. According to UNESCO, the region accounts for more than half of the global student population, with over 700 million students registered at various levels of education as of 2023. This massive student population, together with rising internet usage and digital literacy, is encouraging the adoption of novel learning tools to meet various educational demands.

Furthermore, many nations in the Asia Pacific region are establishing laws and measures to support digital education, which is boosting the adaptive learning software industry. For example, India's National Education Policy 2020 aspires to achieve 100% literacy among youth and adults through the use of digital technology. Similarly, China's Education Modernization 2035 strategy prioritizes the incorporation of information technology into education. These government-backed efforts are projected to greatly increase the use of adaptive learning software throughout the region.

Competitive Landscape

The competitive landscape of the adaptive learning software market is characterized by rapid innovation and a wide range of services targeted at improving individualized education. Key competitors in this market are working on building advanced algorithms and employing data analytics to offer bespoke learning experiences that adapt in real-time to particular student requirements.

Some of the prominent players operating in the adaptive learning software market include:

Smart Sparrow

Knewton

McGraw-Hill Education

DreamBox Learning

Pearson Education

D2L (Desire2Learn)

K12, Inc.

Cognii

DreamBox Learning

Kaltura

Latest Developments

In June 2024, McGraw Hill announced a strategic relationship with a top AI technology startup to improve its adaptive learning platforms. This cooperation intends to integrate advanced artificial intelligence algorithms that will provide deeper insights into student learning patterns, enabling more effective personalization of educational content and evaluations, and resulting in higher learner engagement and retention rates.

Adaptive Learning Software Market, By Category

  • Component:
  • Solutions
  • Services
  • Enterprise Size:
  • Small and Medium Enterprises (SMEs)
  • Large Enterprises
  • Application:
  • Student Collaboration
  • Analytics and Insights
  • E-learning Authority
  • Integrated Learning Management Systems (LMS)
  • End-User:
  • K-12
  • Education
  • Corporate
  • Private Tutors
  • Others
  • Region:
  • North America
  • Europe
  • Asia-Pacific
  • South America
  • Middle East & Africa

TABLE OF CONTENTS

1. Introduction

  • Market Definition
  • Market Segmentation
  • Research Methodology

2. Executive Summary

  • Key Findings
  • Market Overview
  • Market Highlights

3. Market Overview

  • Market Size and Growth Potential
  • Market Trends
  • Market Drivers
  • Market Restraints
  • Market Opportunities
  • Porter's Five Forces Analysis

4. Adaptive Learning Software Market, By Deployment Model

  • Cloud-based
  • On-premise

5. Adaptive Learning Software Market, By Application

  • K-12
  • Higher education
  • Corporate

6. Adaptive Learning Software Market, Other Segments

  • Content Type
  • Functionality
  • Target Audience

7. Regional Analysis

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • Latin America
  • Brazil
  • Argentina
  • Chile
  • Middle East and Africa
  • South Africa
  • Saudi Arabia
  • UAE

8. Market Dynamics

  • Market Drivers
  • Market Restraints
  • Market Opportunities
  • Impact of COVID-19 on the Market

9. Competitive Landscape

  • Key Players
  • Market Share Analysis

10. Company Profiles

  • Smart Sparrow
  • Knewton (acquired by Wiley)
  • McGraw-Hill Education
  • DreamBox Learning
  • Pearson Education
  • D2L (Desire2Learn)
  • K12 Inc.
  • Cognii
  • DreamBox Learning
  • Kaltura

11. Market Outlook and Opportunities

  • Emerging Technologies
  • Future Market Trends
  • Investment Opportunities

12. Appendix

  • List of Abbreviations
  • Sources and References