全球微學習市場規模按組件、部署類型、組織規模、最終用戶產業、區域範圍和預測分類：

微學習市場規模及預測

2024 年微學習市場規模價值 22.6 億美元，預計到 2032 年將達到 57.4 億美元，2026 年至 2032 年的複合年成長率為 12.34%。

• 微學習是一種教育策略，它將知識以小而集中的部分呈現，以便人們可以快速輕鬆地掌握。這涉及將複雜的教育材料分解成可以在短時間內（通常在幾秒鐘或幾分鐘內）訪問和處理的較小部分。這項策略滿足了現代學習者快速、隨時隨地學習的願望，同時透過專注於特定主題和能力來提高記憶力和參與度。
• 微學習正在被各行各業所採用，包括企業培訓，以提高員工的技能和知識，而無需讓他們承受長時間的學習負擔。它還透過提供即時資訊和強化概念來幫助教育。
• 隨著人工智慧和行動學習平台等技術的進步，微學習有望得到發展，這些技術可以客製化和最佳化學習體驗。隨著對適應性強、高效的學習解決方案的需求不斷成長，微學習將不斷發展並與新技術和工具相結合，以滿足更廣泛的教育需求。

全球微學習市場動態

影響全球微學習市場的關鍵市場動態是：

關鍵市場促進因素

• 行動學習正在興起：隨著智慧型手機和平板電腦的興起，微學習變得越來越流行。據 Statista 稱，預計到 2025 年全球智慧型手機用戶數量將達到 73.3 億。行動裝置的普及增加了對微學習解決方案的需求，因為學習者現在可以隨時隨地存取簡短的內容。
• 企業對技能為基礎的學習的需求不斷增加：企業越來越意識到員工持續強化學習的重要性。根據 LinkedIn Learning 的報告，94% 的員工願意留在一家投資於他們的學習和發展的公司。這一趨勢正在推動公司利用能夠有效提供有針對性的、基於技能的學習材料的微學習平台。
• 更重視個人化學習：微學習平台經常使用人工智慧和機器學習來提供個人化的學習體驗。根據德勤的一項民意調查，77% 的學習和發展專業人士表示個人化學習對於員工敬業度至關重要。這種對個人化學習的重視推動了可以根據個人學習者的需求和偏好進行客製化的微學習解決方案的使用。

主要挑戰

• 內容品質和相關性：維持微學習資訊的高品質和相關性是一個巨大的挑戰。微學習模組非常短，必須將複雜的知識濃縮成簡潔、相關的區塊。為了確保真實性和相關性，內容創作者必須在深度和簡潔性之間取得平衡。如果內容過於膚淺，可能無法提供必要的學習，從而導致知識差距和無效的學習體驗。
• 使用者參與度和積極性：讓使用者參與微學習可能是一個挑戰。微學習的有效性取決於它在短時間內吸引學習者的能力。如果沒有有趣的內容或互動方面，學習者可能很快就會失去興趣。開發引人入勝、充滿活力的微學習體驗，不斷激勵和吸引用戶，需要內容開發人員不斷創新和創造力。
• 客製化和個人化：微學習的挑戰之一是提供個人化的學習體驗。每個學生都有不同的需求、興趣和學習風格。設計易於自訂和個性化的微學習內容以適應這些個人特徵需要先進的技術和設計方法，並且實現這一點既費時又困難。
• 對科技的依賴：微學習嚴重依賴技術，這可能有益，也可能有害。雖然技術使得微學習內容的傳遞和可訪問性成為可能，但它也增加了技術風險，例如系統故障、相容性問題和安全漏洞。為了避免這些風險並確保學習過程順利進行，需要強大的技術支援和穩定的基礎設施。

主要趨勢

• 提高行動可近性：行動裝置的成長對微學習市場產生了重大影響。隨著智慧型手機和平板電腦變得越來越普及，學生可以隨時隨地存取微學習課程。這一趨勢凸顯了針對行動最佳化的學習材料的重要性，這些學習材料適合小型顯示器，並使用推播通知和基於位置的學習等移動功能來改善學習體驗和可訪問性。
• 人工智慧和數據分析：微學習擴大利用人工智慧和數據分析。人工智慧演算法可以評估學習者的行為、偏好和表現，並提供見解和提案以改善內容和學習體驗。資料分析可以幫助您監控有效性、識別模式並做出數據驅動的決策，以改善您的微學習策略。
• 整合社會學習：社會學習正日益融入微學習系統。討論論壇、同儕審查和協作任務等功能使學生能夠相互聯繫、共用想法和相互學習，從而增強了學習體驗。此舉將促進更緊密聯繫和協作的學習方式，並鼓勵合作和知識交流。

目錄

第1章 引言

• 市場定義
• 市場區隔
• 調查方法

第2章執行摘要

• 主要發現
• 市場概覽
• 市場亮點

第3章市場概述

• 市場規模和成長潛力
• 市場趨勢
• 市場促進因素
• 市場限制
• 市場機會
• 波特五力分析

第4章 微學習市場（按組件）

• 解決方案
• 服務

第5章 微學習市場（依部署類型）

• 本地
• 雲

第6章 微學習市場（依組織規模）

• 小型企業
• 主要企業

第7章 微學習市場（依最終用戶產業分類）

• 零售
• 製造/物流
• 銀行、金融服務和保險（BFSI）
• 通訊/IT
• 醫療保健和生命科學

第8章區域分析

• 北美洲
• 美國
• 加拿大
• 墨西哥
• 歐洲
• 英國
• 德國
• 法國
• 義大利
• 亞太地區
• 中國
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中東和非洲
• 南非
• 沙烏地阿拉伯
• 阿拉伯聯合大公國

第9章市場動態

• 市場促進因素
• 市場限制
• 市場機會
• COVID-19 市場影響

第10章 競爭格局

• 主要企業
• 市場佔有率分析

第11章 公司簡介

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

第12章 市場展望市場展望與機會

• 新興技術
• 未來市場趨勢
• 投資機會

第13章 附錄

• 簡稱列表
• 來源和參考文獻

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