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Microlearning Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2019-2029F

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    Report

  • 182 Pages
  • November 2024
  • Region: Global
  • TechSci Research
  • ID: 6022839
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The Microlearning Market was valued at USD 3.25 billion in 2023, and is projected to reach USD 6.75 billion by 2029, rising at a CAGR of 12.78%.

The microlearning market refers to the segment of the e-learning and education industry focused on delivering short, targeted learning experiences designed for quick consumption and retention. Microlearning content is typically bite-sized, ranging from a few seconds to a few minutes, and is designed to teach specific skills or concepts in a highly focused manner.

This form of learning is often delivered via digital platforms such as mobile apps, learning management systems (LMS), or online video platforms, making it accessible to users anytime and anywhere. Microlearning's appeal lies in its ability to accommodate modern learners' shrinking attention spans, providing just-in-time learning that is both engaging and easily digestible. Organizations across various industries, including corporate training, education, and professional development, are adopting microlearning to enhance employee performance, improve knowledge retention, and support continuous learning.

Key Market Drivers

Growing Demand for Personalized Learning Experiences

The increasing demand for personalized learning experiences is a significant driver for the growth of the global microlearning market. Modern learners, particularly in corporate environments and higher education, are seeking customized content that addresses their unique needs and learning preferences. Microlearning, by design, delivers bite-sized, easily digestible learning modules that can be tailored to individual learners. This aligns with the growing preference for flexible, on-demand learning solutions that can be consumed at any time and on any device. Personalization is increasingly becoming a key component in employee training programs as organizations aim to enhance productivity, skill development, and retention rates.

Traditional, one-size-fits-all training methods are becoming less effective in engaging today’s learners, especially with the rapid digital transformation reshaping industries. Microlearning allows organizations to create learning paths that are relevant and specific to job roles, improving employee engagement and ensuring that learners can quickly apply their knowledge in real-world scenarios. Furthermore, artificial intelligence (AI) and machine learning (ML) technologies are enabling more sophisticated personalization in microlearning platforms, helping organizations deliver the right content at the right time, based on learner behavior and performance data. This shift towards personalized learning experiences is driving greater adoption of microlearning solutions across various sectors, including corporate training, education, and professional development, positioning the market for substantial growth.

Increased Use of Mobile Learning Platforms

The widespread adoption of mobile devices and increased access to the internet are fueling the demand for mobile learning platforms, which in turn is driving the growth of the global microlearning market. Mobile learning, or m-learning, provides the flexibility to access learning content from anywhere, at any time, making it an ideal format for microlearning modules. With employees and students increasingly relying on smartphones and tablets for daily tasks, the convenience and accessibility of mobile learning platforms have become a critical factor in the success of microlearning strategies.

The use of mobile apps in corporate training programs and educational institutions allows learners to engage with short, focused lessons that fit into their busy schedules, enhancing retention and knowledge application. Additionally, mobile learning is particularly beneficial for industries with dispersed or remote workforces, such as retail, healthcare, and logistics, where continuous learning and upskilling are essential but face logistical challenges. The integration of interactive multimedia elements, such as videos, quizzes, and gamified content, on mobile platforms enhances the learner’s engagement and motivation, leading to higher completion rates and improved performance. As organizations prioritize mobile-first learning approaches to cater to the evolving needs of learners, the microlearning market is expected to witness significant growth, driven by the increasing use of mobile devices for education and professional development.

Shift Toward Continuous Learning and Development

The global shift towards continuous learning and development, particularly in the corporate sector, is driving the expansion of the global microlearning market. As industries face rapid technological advancements and shifting market dynamics, organizations are under pressure to ensure their employees remain competitive by acquiring new skills and updating existing ones. Traditional learning methods, such as lengthy seminars or classroom-based training, are often time-consuming and costly, making them less feasible for ongoing employee development.

Microlearning, with its focus on short, targeted learning sessions, offers a scalable solution for continuous learning, allowing organizations to provide just-in-time training that aligns with evolving business needs. The need for agility in learning, especially in sectors like IT, finance, and healthcare, where regulations and best practices frequently change, has made microlearning a preferred method for skills development and compliance training.

Moreover, the increasing emphasis on upskilling and reskilling initiatives, driven by automation and digital transformation, has accelerated the demand for continuous learning platforms that deliver relevant, practical knowledge in small, manageable portions. The shift towards lifelong learning is also reflected in the growing popularity of microlearning among professionals seeking to advance their careers by acquiring new certifications or competencies in emerging fields. As companies and individuals prioritize continuous learning as a means of staying relevant and competitive, the demand for microlearning solutions is set to rise, propelling the market’s growth.

Key Market Challenges

Content Fragmentation and Quality Control

One of the primary challenges facing the global microlearning market is content fragmentation and maintaining consistent quality control. Microlearning, by its very nature, is designed to deliver information in small, digestible modules. While this approach increases accessibility and engagement, it also introduces risks associated with the fragmentation of content. Companies developing microlearning solutions often face the challenge of ensuring that the knowledge presented across multiple modules is coherent and comprehensive. Fragmented content can lead to a lack of depth in learning, where learners grasp individual concepts in isolation but struggle to integrate them into a broader understanding.

This issue is particularly problematic in industries where learners need to understand complex, interrelated topics - such as finance, healthcare, and technology - where small gaps in knowledge can lead to significant errors. Furthermore, the decentralized nature of microlearning content creation, where multiple authors or contributors may develop modules independently, exacerbates the challenge. Quality control measures, such as standardized guidelines and rigorous content review processes, must be implemented to ensure consistency, but this can be both time-consuming and costly.

In a rapidly evolving market, striking a balance between speed to market and quality is crucial, and companies often face resource constraints in maintaining the desired level of rigor. Additionally, learners may have varying levels of prior knowledge, which complicates the process of designing microlearning modules that are both comprehensive and accessible to all. Addressing this challenge requires robust instructional design strategies, the integration of adaptive learning technologies, and ongoing monitoring of learner outcomes to ensure the effectiveness of microlearning programs.

Scalability and Integration with Traditional Learning Systems

Another significant challenge for the global microlearning market is the scalability of its solutions and their integration with traditional learning and development (L&D) systems. Microlearning has gained popularity due to its flexibility and ability to deliver targeted, bite-sized lessons that cater to the needs of modern learners, especially those in fast-paced industries. However, scaling microlearning solutions across larger organizations or educational institutions presents numerous logistical challenges. Traditional L&D systems often rely on structured, long-form learning programs, making it difficult to integrate microlearning content seamlessly.

Many organizations are deeply entrenched in learning management systems (LMS) that are designed for delivering full-length courses, certifications, and compliance training, which are not optimized for microlearning modules. This misalignment often results in technical incompatibilities, as many microlearning platforms are designed to be agile and mobile-first, while legacy LMS platforms may struggle to support such formats. Additionally, scaling microlearning solutions often requires significant customization to align with an organization's specific training needs, adding complexity and cost.

There is also the issue of learner resistance to adopting microlearning as the primary learning method, particularly among individuals who are more accustomed to traditional, comprehensive educational models. Integrating microlearning with more conventional approaches requires a well-thought-out change management process to ensure that learners and stakeholders are on board. To address these challenges, organizations must invest in technologies that support interoperability between microlearning platforms and traditional LMS. This includes integrating microlearning into a blended learning strategy, where short, focused modules complement longer, in-depth training sessions, ensuring that microlearning can scale effectively across diverse learning environments.

Key Market Trends

Rising Adoption of Microlearning for Employee Training and Upskilling

One of the key trends in the global microlearning market is the growing adoption of microlearning solutions for employee training and upskilling across various industries. Companies are recognizing the value of providing bite-sized, easily digestible training modules that can be accessed anytime and anywhere. Microlearning is particularly effective for training employees in industries with rapid technological advancements, such as IT, healthcare, and manufacturing, where continuous learning is crucial. By breaking down complex concepts into smaller, focused learning units, microlearning enables employees to learn at their own pace, leading to better retention and application of knowledge.

Additionally, the rise of remote work and hybrid work models has accelerated the need for flexible learning solutions, making microlearning a preferred method for delivering just-in-time training. Employers are increasingly integrating microlearning into their learning management systems (LMS), using it for onboarding, compliance training, and skill development. This trend is expected to grow as companies strive to enhance employee performance, foster a culture of continuous learning, and stay competitive in an ever-evolving business landscape.

Growing Demand for Mobile-First Microlearning Solutions

The increasing use of mobile devices for learning is another key trend shaping the global microlearning market. With the widespread adoption of smartphones and tablets, learners now expect to access training content on the go. Microlearning is naturally suited for mobile delivery due to its short, focused format, making it easy for learners to engage with content during breaks, commutes, or downtime. As a result, there is a growing demand for mobile-first microlearning platforms that are optimized for small screens and offer a seamless user experience. These platforms often include features such as push notifications, offline access, and gamification to enhance learner engagement and motivation.

Mobile microlearning also supports the trend toward just-in-time learning, where employees can access specific information or training modules when they need them most, directly from their mobile devices. This flexibility is particularly valuable for industries with dispersed or frontline workforces, such as retail, healthcare, and logistics, where employees may not have regular access to desktop computers. As mobile technology continues to evolve, the demand for mobile-first microlearning solutions is expected to increase, driven by the need for flexible, accessible, and on-demand learning experiences.

Segmental Insights

Organization Size Insights

The large enterprises segment held the largest Market share in 2023. The adoption of microlearning in the large enterprises segment is driven by several factors, primarily the need for efficient, flexible, and scalable employee training solutions. Large enterprises often have a global workforce, making it challenging to deliver standardized training across various geographies, languages, and time zones. Microlearning addresses these challenges by offering short, focused learning modules that can be accessed anytime, anywhere, via digital platforms, promoting on-demand learning and enhancing accessibility for employees.

The increasing complexity of job roles and the rapid pace of technological advancements also necessitate continuous upskilling and reskilling. Microlearning supports this by breaking down complex information into bite-sized lessons, allowing employees to learn at their own pace without disrupting their day-to-day tasks. The format’s high retention rate and ability to cater to diverse learning styles make it an attractive option for large enterprises seeking to maximize training effectiveness. The growing emphasis on employee engagement and satisfaction further drives demand for microlearning, as it provides a personalized, interactive, and engaging learning experience, which helps improve knowledge retention and application in real-world scenarios. The cost-efficiency of microlearning is a significant factor for large enterprises, which often face budget constraints in training large numbers of employees.

Microlearning reduces costs associated with traditional training, such as travel, venue, and instructor fees, and its digital nature enables companies to easily update content, ensuring it remains relevant and up-to-date. The integration of microlearning with advanced technologies like artificial intelligence (AI) and analytics allows large enterprises to track employee progress, customize learning paths, and make data-driven decisions to improve training outcomes. As large organizations increasingly adopt remote and hybrid work models, the need for flexible, digital learning solutions has accelerated, making microlearning an ideal fit for the evolving workplace landscape.

Regulatory compliance is another driver, as large enterprises must ensure that their employees meet industry standards and certifications, which can be efficiently managed through microlearning platforms. The rising focus on corporate social responsibility (CSR) and sustainability also influences the adoption of microlearning, as it reduces the environmental impact associated with physical training materials and in-person sessions. In addition, large enterprises recognize the importance of developing leadership and soft skills within their workforce, and microlearning offers tailored programs that focus on these areas, helping to foster a culture of continuous learning and professional development. The demand for microlearning in large enterprises is set to grow, driven by the need for agile, cost-effective, and scalable training solutions that enhance employee engagement, productivity, and organizational competitiveness in a rapidly changing business environment.

Regional Insights

Asia-Pacific region held the largest market share in 2023. The microlearning market in the Asia Pacific region is being driven by several key factors that are fostering its rapid growth. The increasing adoption of digital learning platforms and the rise in mobile internet penetration across countries such as China, India, Japan, and Southeast Asian nations are significantly influencing the demand for microlearning solutions. The region’s growing population of tech-savvy millennials and Gen Z, who favor short, engaging, and easily accessible content, further accelerates the market.

Organizations in the Asia Pacific are progressively recognizing the benefits of microlearning, especially its ability to deliver bite-sized, focused learning modules that enhance employee engagement and knowledge retention. This is particularly important as businesses in the region are shifting towards upskilling and reskilling initiatives to stay competitive in the face of rapidly evolving technology and market demands. Governments in countries like Singapore, India, and South Korea are promoting digital learning and skill development initiatives, providing a conducive environment for microlearning adoption.

The rise of e-learning platforms and learning management systems tailored to regional languages and cultural preferences also plays a pivotal role in expanding the microlearning market. The post-pandemic shift toward remote and hybrid work models has prompted organizations to seek flexible and scalable learning solutions, making microlearning a critical component of corporate training strategies. Industries such as IT, healthcare, and BFSI in the Asia Pacific are increasingly implementing microlearning to facilitate quick and efficient learning, especially as they navigate complex regulations and evolving industry standards.

The growing preference for continuous learning and the need to address shorter attention spans among learners have also pushed educational institutions and corporations to integrate microlearning into their programs. This trend is complemented by advancements in artificial intelligence, machine learning, and data analytics, enabling more personalized and adaptive microlearning experiences. The Asia Pacific region's robust smartphone penetration and mobile app usage further support the proliferation of mobile-based microlearning platforms, providing users with on-the-go access to learning materials.

The growing emphasis on employee well-being and work-life balance is encouraging companies to adopt microlearning, which allows learners to complete modules at their own pace without disrupting their workflow. Microlearning offers an attractive and cost-effective alternative to traditional learning methods, catering to the dynamic and fast-paced work environments prevalent across the Asia Pacific. This confluence of technological, cultural, and economic drivers is expected to continue propelling the microlearning market in the region over the coming years, with significant opportunities for growth in both corporate training and academic education sectors.

Key Players Profiled in this Microlearning Market Report

  • IBM Corporation
  • LTIMindtree Limited
  • SwissVBS AG
  • Axonify Inc.
  • Brainshark, Inc.
  • John Wiley & Sons, Inc.
  • ELB Learning (Plato eLearning, LLC)
  • Epignosis Software

Report Scope:

In this report, the Global Microlearning Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Microlearning Market, By Component:

  • Solution
  • Services

Microlearning Market, By Organization Size:

  • Large Enterprises
  • Small & Medium-Sized Enterprises

Microlearning Market, By Deployment Mode:

  • On-Premises
  • Cloud

Microlearning Market, By End-User:

  • Retail
  • Manufacturing
  • Banking
  • Financial Services
  • Insurance
  • Telecom and IT

Microlearning Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Kuwait
  • Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Microlearning Market.

Available Customizations:

Global Microlearning Market report with the given Market data, the publisher offers customizations according to a company's specific needs. The following customization options are available for the report.

Company Information

  • Detailed analysis and profiling of additional Market players (up to five).


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Table of Contents

1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1. Secondary Research
2.5.2. Primary Research
2.6. Approach for the Market Study
2.6.1. The Bottom-Up Approach
2.6.2. The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1. Data Triangulation & Validation
3. Executive Summary4. Voice of Customer
5. Global Microlearning Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Component (Solution, Services)
5.2.2. By Organization Size (Large Enterprises, Small & Medium-Sized Enterprises)
5.2.3. By Deployment Mode (On-Premises, Cloud)
5.2.4. By End-User (Retail, Manufacturing, Banking, Financial Services, Insurance, and Telecom and IT)
5.2.5. By Company (2023)
5.2.6. Market Map
6. North America Microlearning Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component
6.2.2. By Organization Size
6.2.3. By Deployment Mode
6.2.4. By End-User
6.2.5. By Country
6.3. North America: Country Analysis
6.3.1. United States Microlearning Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Component
6.3.1.2.2. By Organization Size
6.3.1.2.3. By Deployment Mode
6.3.1.2.4. By End-User
6.3.2. Canada Microlearning Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Component
6.3.2.2.2. By Organization Size
6.3.2.2.3. By Deployment Mode
6.3.2.2.4. By End-User
6.3.3. Mexico Microlearning Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Component
6.3.3.2.2. By Organization Size
6.3.3.2.3. By Deployment Mode
6.3.3.2.4. By End-User
7. Europe Microlearning Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Organization Size
7.2.3. By Deployment Mode
7.2.4. By End-User
7.2.5. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Microlearning Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Organization Size
7.3.1.2.3. By Deployment Mode
7.3.1.2.4. By End-User
7.3.2. United Kingdom Microlearning Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Organization Size
7.3.2.2.3. By Deployment Mode
7.3.2.2.4. By End-User
7.3.3. Italy Microlearning Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Organization Size
7.3.3.2.3. By Deployment Mode
7.3.3.2.4. By End-User
7.3.4. France Microlearning Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Component
7.3.4.2.2. By Organization Size
7.3.4.2.3. By Deployment Mode
7.3.4.2.4. By End-User
7.3.5. Spain Microlearning Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Component
7.3.5.2.2. By Organization Size
7.3.5.2.3. By Deployment Mode
7.3.5.2.4. By End-User
8. Asia-Pacific Microlearning Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Organization Size
8.2.3. By Deployment Mode
8.2.4. By End-User
8.2.5. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Microlearning Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Organization Size
8.3.1.2.3. By Deployment Mode
8.3.1.2.4. By End-User
8.3.2. India Microlearning Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Organization Size
8.3.2.2.3. By Deployment Mode
8.3.2.2.4. By End-User
8.3.3. Japan Microlearning Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Organization Size
8.3.3.2.3. By Deployment Mode
8.3.3.2.4. By End-User
8.3.4. South Korea Microlearning Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Organization Size
8.3.4.2.3. By Deployment Mode
8.3.4.2.4. By End-User
8.3.5. Australia Microlearning Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Organization Size
8.3.5.2.3. By Deployment Mode
8.3.5.2.4. By End-User
9. South America Microlearning Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Organization Size
9.2.3. By Deployment Mode
9.2.4. By End-User
9.2.5. By Country
9.3. South America: Country Analysis
9.3.1. Brazil Microlearning Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Organization Size
9.3.1.2.3. By Deployment Mode
9.3.1.2.4. By End-User
9.3.2. Argentina Microlearning Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Organization Size
9.3.2.2.3. By Deployment Mode
9.3.2.2.4. By End-User
9.3.3. Colombia Microlearning Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Organization Size
9.3.3.2.3. By Deployment Mode
9.3.3.2.4. By End-User
10. Middle East and Africa Microlearning Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Organization Size
10.2.3. By Deployment Mode
10.2.4. By End-User
10.2.5. By Country
10.3. Middle East and Africa: Country Analysis
10.3.1. South Africa Microlearning Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Organization Size
10.3.1.2.3. By Deployment Mode
10.3.1.2.4. By End-User
10.3.2. Saudi Arabia Microlearning Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Organization Size
10.3.2.2.3. By Deployment Mode
10.3.2.2.4. By End-User
10.3.3. UAE Microlearning Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Organization Size
10.3.3.2.3. By Deployment Mode
10.3.3.2.4. By End-User
10.3.4. Kuwait Microlearning Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Component
10.3.4.2.2. By Organization Size
10.3.4.2.3. By Deployment Mode
10.3.4.2.4. By End-User
10.3.5. Turkey Microlearning Market Outlook
10.3.5.1. Market Size & Forecast
10.3.5.1.1. By Value
10.3.5.2. Market Share & Forecast
10.3.5.2.1. By Component
10.3.5.2.2. By Organization Size
10.3.5.2.3. By Deployment Mode
10.3.5.2.4. By End-User
11. Market Dynamics
11.1. Drivers
11.2. Challenges
12. Market Trends & Developments
13. Company Profiles
13.1. IBM Corporation
13.1.1. Business Overview
13.1.2. Key Revenue and Financials
13.1.3. Recent Developments
13.1.4. Key Personnel/Key Contact Person
13.1.5. Key Product/Services Offered
13.2. LTIMindtree Limited
13.2.1. Business Overview
13.2.2. Key Revenue and Financials
13.2.3. Recent Developments
13.2.4. Key Personnel/Key Contact Person
13.2.5. Key Product/Services Offered
13.3. SwissVBS AG
13.3.1. Business Overview
13.3.2. Key Revenue and Financials
13.3.3. Recent Developments
13.3.4. Key Personnel/Key Contact Person
13.3.5. Key Product/Services Offered
13.4. Axonify Inc.
13.4.1. Business Overview
13.4.2. Key Revenue and Financials
13.4.3. Recent Developments
13.4.4. Key Personnel/Key Contact Person
13.4.5. Key Product/Services Offered
13.5. Brainshark, Inc.
13.5.1. Business Overview
13.5.2. Key Revenue and Financials
13.5.3. Recent Developments
13.5.4. Key Personnel/Key Contact Person
13.5.5. Key Product/Services Offered
13.6. John Wiley & Sons, Inc.
13.6.1. Business Overview
13.6.2. Key Revenue and Financials
13.6.3. Recent Developments
13.6.4. Key Personnel/Key Contact Person
13.6.5. Key Product/Services Offered
13.7. ELB Learning (Plato eLearning, LLC)
13.7.1. Business Overview
13.7.2. Key Revenue and Financials
13.7.3. Recent Developments
13.7.4. Key Personnel/Key Contact Person
13.7.5. Key Product/Services Offered
13.8. Epignosis Software
13.8.1. Business Overview
13.8.2. Key Revenue and Financials
13.8.3. Recent Developments
13.8.4. Key Personnel/Key Contact Person
13.8.5. Key Product/Services Offered
14. Strategic Recommendations15. About the Publisher & Disclaimer

Companies Mentioned

The leading companies in the Microlearning market, which are profiled in this report include:
  • IBM Corporation
  • LTIMindtree Limited
  • SwissVBS AG
  • Axonify Inc.
  • Brainshark, Inc.
  • John Wiley & Sons, Inc.
  • ELB Learning (Plato eLearning, LLC)
  • Epignosis Software

Table Information