全球微学习市场规模按组件、部署类型、组织规模、最终用户产业、区域范围和预测划分：

微学习市场规模及预测

2024 年微学习市场规模价值 22.6 亿美元，预计到 2032 年将达到 57.4 亿美元，2026 年至 2032 年的复合年增长率为 12.34%。

• 微学习是一种教育策略，它将知识以小而集中的部分呈现，以便人们可以快速轻鬆地掌握。这涉及将复杂的教育材料分解成可以在短时间内（通常在几秒钟或几分钟内）访问和处理的较小部分。这项策略满足了现代学习者快速、随时随地学习的愿望，同时透过专注于特定主题和能力来提高记忆力和参与度。
• 微学习正在被各行各业所采用，包括企业培训，以提高员工的技能和知识，而无需让他们承受长时间的学习负担。它还透过提供即时资讯和强化概念来帮助教育。
• 随着人工智慧和行动学习平台等技术的进步，微学习有望得到发展，这些技术可以客製化和优化学习体验。随着对适应性强、高效的学习解决方案的需求不断增长，微学习将不断发展并与新技术和工具相结合，以满足更广泛的教育需求。

全球微学习市场动态

影响全球微学习市场的关键市场动态是：

关键市场驱动因素

• 行动学习正在兴起：随着智慧型手机和平板电脑的兴起，微学习变得越来越流行。据 Statista 称，预计到 2025 年全球智慧型手机用户数量将达到 73.3 亿。行动装置的普及增加了对微学习解决方案的需求，因为学习者现在可以随时随地存取简短的内容。
• 企业对技能为基础的学习的需求不断增加：企业越来越意识到员工持续强化学习的重要性。根据 LinkedIn Learning 的报告，94% 的员工愿意留在一家投资于他们的学习和发展的公司。这一趋势正在推动公司利用能够有效提供有针对性的、基于技能的学习材料的微学习平台。
• 更重视个人化学习：微学习平台经常使用人工智慧和机器学习来提供个人化的学习体验。根据德勤的一项民意调查，77% 的学习和发展专业人士表示个人化学习对于员工敬业度至关重要。这种对个人化学习的重视推动了可以根据个人学习者的需求和偏好进行客製化的微学习解决方案的使用。

主要挑战

• 内容品质和相关性：维持微学习资讯的高品质和相关性是一个巨大的挑战。微学习模组非常短，必须将复杂的知识浓缩成简洁、相关的区块。为了确保真实性和相关性，内容创作者必须在深度和简洁性之间取得平衡。如果内容过于肤浅，可能无法提供必要的学习，从而导致知识差距和无效的学习体验。
• 使用者参与度和积极性：让使用者参与微学习可能是一个挑战。微学习的有效性取决于它在短时间内吸引学习者的能力。如果没有有趣的内容或互动方面，学习者可能很快就会失去兴趣。开发引人入胜、充满活力的微学习体验，不断激励和吸引用户，需要内容开发人员不断创新和创造力。
• 客製化和个人化：微学习的挑战之一是提供个人化的学习体验。每个学生都有不同的需求、兴趣和学习风格。设计易于自订和个性化的微学习内容以适应这些个人特征需要先进的技术和设计方法，并且实现这一点既费时又困难。
• 对科技的依赖：微学习严重依赖技术，这可能有益，也可能有害。虽然技术使得微学习内容的传递和可访问性成为可能，但它也增加了技术风险，例如係统故障、相容性问题和安全漏洞。为了避免这些风险并确保学习过程顺利进行，需要强大的技术支援和稳定的基础设施。

主要趋势

• 提高行动可近性：行动装置的成长对微学习市场产生了重大影响。随着智慧型手机和平板电脑变得越来越普及，学生可以随时随地存取微学习课程。这一趋势凸显了针对行动优化的学习材料的重要性，这些学习材料适合小型显示器，并使用推播通知和基于位置的学习等移动功能来改善学习体验和可访问性。
• 人工智慧和数据分析：微学习越来越多地利用人工智慧和数据分析。人工智慧演算法可以评估学习者的行为、偏好和表现，并提供见解和提案以改善内容和学习体验。资料分析可以帮助您监控有效性、识别模式并做出数据驱动的决策，以改善您的微学习策略。
• 整合社会学习：社会学习正日益融入微学习系统。讨论论坛、同侪审查和协作任务等功能使学生能够相互联繫、共用想法和相互学习，从而增强了学习体验。此举将促进更紧密联繫和协作的学习方式，并鼓励合作和知识交流。

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
• 市场概览
• 市集亮点

第三章市场概述

• 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 微学习市场（按组件）

• 解决方案
• 服务

第五章 微学习市场（依部署类型）

• 本地
• 云

第六章 微学习市场（依组织规模）

• 小型企业
• 大公司

第七章 微学习市场（依最终用户产业划分）

• 零售
• 製造/物流
• 银行、金融服务和保险（BFSI）
• 通讯/IT
• 医疗保健和生命科学

第八章区域分析

• 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

第九章市场动态

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

第十章 竞争格局

• 主要企业
• 市场占有率分析

第十一章 公司简介

• Mindtree Limited
• IBM Corporation
• SwissVBS
• Axonify Inc.
• Bigtincan
• Saba Software
• Epignosis
• iSpring Solutions

第十二章 市场展望市场展望与机会

• 新兴技术
• 未来市场趋势
• 投资机会

第十三章 附录

• 简称列表
• 来源和参考文献

Microlearning Market Size And Forecast

Microlearning Market size was valued at USD 2.26 Billion in 2024 and is projected to reach USD 5.74 Billion by 2032, growing at a CAGR of 12.34% from 2026 to 2032.

• Microlearning is an instructional strategy that presents knowledge in small, focused pieces that may be consumed fast and effortlessly. It entails breaking down complex material into smaller parts that may be accessed and processed in a short period, which typically ranges from a few seconds to several minutes. This strategy fits the modern learner's desire for rapid, on-the-go learning while also improving retention and engagement by focusing on specific topics or abilities.
• Microlearning is being used in a variety of industries, including corporate training, to improve employee skills and knowledge without overloading them with long sessions. It is also useful in educational settings to offer real-time information or reinforce concepts.
• The microlearning is expected to rise as technology advances, such as AI and mobile learning platforms, which will tailor and optimize learning experiences. As the demand for adaptable and efficient learning solutions develops, microlearning will evolve and integrate with new techniques and tools to satisfy a wide range of educational requirements.

Global Microlearning Market Dynamics

The key market dynamics that are shaping the global microlearning market include:

Key Market Drivers:

• Increasing Adoption of Mobile Learning: Microlearning is gaining popularity as smartphones and tablets become more widely used. According to Statista, the global smartphone user base is predicted to reach 7.33 billion by 2025. The growth of mobile devices allows learners to access bite-sized content at any time and from any location, driving up demand for microlearning solutions.
• Rising Demand for Skill-based Learning in Corporations: Corporations are increasingly understanding the importance of continual, focused learning for their employees. According to a LinkedIn Learning report, 94% of employees would stay with a firm that invested in their learning and development. This trend is driving firms to use microlearning platforms capable of efficiently delivering concentrated, skill-based material.
• Growing Emphasis on Personalized Learning: Microlearning platforms frequently use AI and machine learning to deliver individualized learning experiences. According to a Deloitte poll, 77% of learning and development professionals say individualized learning is essential for employee engagement. This emphasis on personalized material is propelling the use of microlearning solutions that can adjust to individual learner needs and preferences.

Key Challenges:

• Content Quality and Relevance: Ensuring that microlearning information remains high-quality and relevant is a major task. Due to microlearning modules being so short, complicated knowledge must be condensed into concise but relevant chunks. To ensure truth and relevancy, material creators must strike a balance between depth and brevity. If the content is too superficial, it may fail to deliver the necessary learning, resulting in knowledge gaps and a less effective learning experience.
• User Engagement and Motivation: Maintaining user engagement with microlearning might be difficult. Microlearning's effectiveness is determined by its capacity to engage learners in a short period. Without interesting content and interactive aspects, students may rapidly lose interest. Creating captivating and dynamic microlearning experiences that continually motivate and engage users necessitates ongoing innovation and creativity from content developers.
• Customization and Personalization: Customization and Personalization: One of the challenges of microlearning is providing personalized learning experiences. Every student has different needs, interests, and learning styles. Designing microlearning content that is easily customizable or personalized to accommodate these individual characteristics necessitates advanced technology and design methods, which can be time-consuming and difficult to accomplish.
• Technology Dependence: Microlearning is strongly reliant on technology, which can be both beneficial and detrimental. While technology allows for the distribution and accessibility of microlearning content, it also adds technical hazards, such as system failures, compatibility concerns, and security vulnerabilities. To avoid these risks and ensure an effortless learning procedure, strong technical support, and stable infrastructure are required.

Key Trends:

• Increase in Mobile Accessibility: The growth of mobile devices has had a huge impact on the microlearning market. As smartphones and tablets become increasingly common, students will have access to microlearning courses at any time and from any location. This trend highlights the importance of mobile-optimized material that fits small displays and uses mobile capabilities like push notifications and location-based learning to improve the learning experience and accessibility.
• AI and Data Analytics: AI and data analytics are increasingly being used in microlearning. AI algorithms can assess learner behavior, preferences, and performance to provide insights and recommendations on how to improve content and learning experiences. Data analytics aids in monitoring efficacy, recognizing patterns, and making data-driven decisions to improve microlearning strategies.
• Social Learning Integration: Social learning is increasingly being integrated into microlearning systems. Features such as discussion forums, peer reviews, and collaborative tasks improve the learning experience by allowing students to connect, share thoughts, and learn from one another. This movement promotes a more linked and communal approach to learning, which encourages cooperation and knowledge exchange.

Global Microlearning Market Regional Analysis

Here is a more detailed regional analysis of the global microlearning market:

North America:

• North America, is a major player in the microlearning market, owing to its drive to technological innovation and workforce development. In 2023, U.S. businesses spent an average of $1,296 per person on training and development, with a significant share going toward digital learning platforms. This large investment demonstrates the region's commitment to improving workforce skills and productivity.
• The transition to remote and hybrid work modes has increased microlearning uptake, with 53% of US employees predicted to work in hybrid arrangements in the long run. This desire for flexible, on-demand learning solutions is expected to drive a 14.2% compound annual growth rate (CAGR) for the North American microlearning market from 2024 to 2029.
• The region's leadership in the microlearning sector is reinforced by the concentration of significant technology and content-creation firms. North America is home to over 65% of the world's top 100 tech companies, according to HolonIQ's 2024 Global EdTech 100 ranking. This high concentration of innovation and knowledge continues to drive breakthroughs in microlearning technology and content distribution methods, effectively establishing North America as a global industry leader.

Asia Pacific:

• The Asia Pacific area is experiencing exceptional growth in the microlearning market, due to its big, young workforce and rapid digital transformation. According to the Asian Development Bank (ADB), the region's working-age population will exceed 3.1 billion by 2030, resulting in a significant demand for effective skill development solutions. This demographic advantage, combined with rising internet penetration, is fueling the widespread use of microlearning systems throughout the region. Notably, India's Skill India initiative plans to teach over 400 million people by 2025, while China's State Council aims to have 50% of its population enrolled in vocational training by 2025, both of which are driving up demand for bite-sized learning content.
• Furthermore, the specific linguistic environment of Asia Pacific provides numerous options for localized content development. A 2024 Common Sense Advisory survey found that 76% of online consumers in the region prefer information in their local language, emphasizing the importance of multilingual microlearning content. This need is driving investment in AI-enabled translation and localization solutions.
• This growth rate outpaces all other regions, with the growing smartphone user base-estimated to reach 3.5 billion by 2025 by GSMA Intelligence-supporting extensive access to mobile learning platforms.

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. Microlearning Market, By Component

• Solution
• Services

5. Microlearning Market, By Deployment Type

• On-premises
• Cloud

6. Microlearning Market, By Organization Size

• SMEs
• Large Enterprises

7. Microlearning Market, By Organization Size

• Retail
• Manufacturing and Logistics
• Banking, Financial Services and Insurance (BFSI)
• Telecom and IT
• Healthcare and Life Sciences

8. 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

9. Market Dynamics

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

10 Competitive Landscape

• Key Players
• Market Share Analysis

11. Company Profiles

• Mindtree Limited
• IBM Corporation
• SwissVBS
• Axonify Inc.
• Bigtincan
• Saba Software
• Epignosis
• iSpring Solutions

12. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

13. Appendix

• List of Abbreviations
• Sources and References