Personalized Learning Market - Forecast(2019 - 2024)

Report Code: EDU 0012 Report Format: PDF + Excel Database
The Global Personalized Learning market is estimated to surpass $2 billion by 2024, growing at an estimated rate of around 29% during 2018 to 2024, majorly driven by the on-job skill development programs featuring real-time competency analysis and online courses. Further the growing technological advancements in cyber space and gadgets is also set to lift the market growth in the future. Also, leveraging Big Data and Data Science for behavior analysis will further prosper the market.  

The market for personalized learning is at boom and is set to show an exponential rise for the forecasted period. Currently, the market is majorly led by education-technology companies followed by online courses, and in the forecasted period education institutes are estimated to gain a significant market share. From students to corporate professionals, most of them are favoring learning through a self-driven pursuit. 

What is Personalized Learning?
Personalized learning is a teaching approach, which caters to individual educational needs with constant feedback regarding progress. It is a computer based teaching assistance, having the application software connected to cloud or a particular system. The platform presents the interactive content with real time performance analysis of the learner, which results in modification of the content and course timeline for efficient learning. It uses the computer or mobile application software to interact and learners are assessed through computerized tests that are adjusted based on individual skills. So, personalized learning is a blended learning that progress at the rate of learners’ learning ability. 

Personalized learning platform challenges traditional teaching practices, by implementing model of learning by doing and blended learning based on individual understanding and accordingly optimizes the timeline. This teaching approach is appreciated in corporate learning to up-skill resources efficiently, and adopted by the professionals for whom time management and commuting is the big issue. This blended learning approach uses modern technologies like artificial intelligence, which perform human behavior analysis to structure the content. 
The education institutes including schools and colleges are showing great interest towards personalized learning, especially primary education, where young minds understand things easily by content visualization and practical approach. This has made leading universities to deliver their courses to distant learners more efficiently.

This report incorporates an in-depth assessment of Personalized Learning market by integration, technologies, applications, end users and geography.

What are the major applications for Personalized Learning?
The various applications assessed for personalized learning includes feedback, where the computerized system automatically generates a report highlighting the strong and weak areas of a learner, which can be used by teachers for improvement. Another application is live screen monitoring where mentors can share the work screens of students to see the problem solving approach deployed by them to frame out guidance based on individual needs. And also a creative application of interactive content by advancing learning by gamification to make learning more enjoyable; speech synthesis for language courses to learn and improve pronunciation. Audio & Video content to develop listening and visual concentration of learners, and various other blended learning applications. According to the National Education Technology Plan (NETP) issued in 2010 by the U.S Department of Education, personalized learning puts learners at the center and empowers them to take control of their own learning by providing flexibility on various dimensions. 



Market Research and Market Trends of Personalized Learning’s Ecosystem
  • With constantly changing technological sector, corporate training has emerged as one of the most significant end-user segment having enormous potential to fuel the upcoming industrial revolution.
  • Cloud based data storage is estimated to dominate the personalized learning platform with a share of around 65%, thus crediting a value in excess of $214.23 million in 2017. The market is forecast to witness a growth of nearly 29% projecting to around $2080 million by 2024, which is mainly attributed to the growing demand from the end user segments such as ed-tech companies and online courses.
  • Software companies are developing many mobile applications and web-based interfaces with improved algorithms for various end-users. As per IndustryARC recent analysis, the global personalized learning is estimated to plunge by 29% by 2024 with exponential increase in usage by corporates and self-learners. 

Who are the Major Players in Personalized Learning market?
The companies referred to in the market research report includes D2L CORPORATION (Canada), DREAMBOX LEARNING (U.S.), KNEWTON, Inc. (U.S.), WOLTERS KLUWER (The Netherlands), SMART SPARROW PTY LTD (Australia) and other major players and startups.

What is our report scope?
The report incorporates in-depth assessment of the competitive landscape, product market sizing, product benchmarking, market trends, product developments, financial analysis, strategic analysis and so on to gauge the impact forces and potential opportunities of the market. Apart from this the report also includes a study of major developments in the market such as product launches, agreements, acquisitions, collaborations, mergers and so on to comprehend the prevailing market dynamics at present and its impact during the forecast period 2018-2023.

All our reports are customizable to your company needs to a certain extent, we do provide 20 free consulting hours along with purchase of each report, and this will allow you to request any additional data to customize the report to your needs.

Key Takeaways from this Report
  • Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level – for product types, end use applications and by different industry verticals.
  • Understand the different dynamics influencing the market – key driving factors, challenges and hidden opportunities.
  • Get in-depth insights on your competitor performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT and more.
  • Analyze the sales and distribution channels across key geographies to improve top-line revenues.
  • Understand the industry supply chain with a deep-dive on the value augmentation at each step, in order to optimize value and bring efficiencies in your processes. 
  • Get a quick outlook on the market entropy – M&A’s, deals, partnerships, product launches of all key players for the past 4 years. 
  • Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than top 20 countries globally for the market. 
1. Personalized Learning Market Overview
2. Executive Summary
3. Personalized Learning Market Landscape
   3.1. Market Share Analysis
   3.2. Comparative Analysis 
      3.2.1. Product Benchmarking
      3.2.2. End User profiling
      3.2.3. Patent Analysis
      3.2.4. Top 5 Financials Analysis
4. Personalized Learning Market Forces
   4.1. Market Drivers
   4.2. Market Constraints
   4.3. Market Challenges
   4.4. Attractiveness of the Industry
      4.4.1. Power of Suppliers
      4.4.2. Power of Customers
      4.4.3. Threat of New entrants
      4.4.4. Threat of Substitution
      4.4.5. Degree of Competition
5. Personalized Learning Market – Strategic Analysis
   5.1. Value Chain Analysis
   5.2. Pricing Analysis
   5.3. Opportunities Analysis
   5.4. Product/Market Life Cycle Analysis
   5.5. Suppliers and Distributors
6. Personalized Learning Market – By Integration
   6.1. Cloud
   6.2. On-Premise
7. Personalized Learning Market – By Application
   7.1. Feedback
   7.2. Live screen monitoring
   7.3. Interactive Content
      7.3.1. Gamification
      7.3.2. Speech Synthesis
      7.3.3. Audio & Video
      7.3.4. Others
   7.4. Others  
8. Personalized Learning Market – By Technology
   8.1. Artificial Intelligence
   8.2. Deep Learning
   8.3. Machine Learning
   8.4. Virtual Reality
   8.5. Natural Language Processing (NLP)
   8.6. Others
9. Personalized Learning Market – By End User
   9.1. Education-Technology Companies 
   9.2. Education Institutes
   9.3. Corporate Training
   9.4. Online Courses
   9.5. Others
10. Personalized Learning Market - By Geography
   10.1. North America
      10.1.1. U.S.
      10.1.2. Canada
      10.1.3. Mexico
   10.2. South America
      10.2.1. Brazil
      10.2.2. Argentina
      10.2.3. Chile
      10.2.4. Others
   10.3. Europe
      10.3.1. Benelux
      10.3.2. U.K.
      10.3.3. Germany
      10.3.4. Nordic Region
      10.3.5. Italy
      10.3.6. Spain
      10.3.7. France
      10.3.8. Russia
      10.3.9. Eastern Europe
      10.3.10. Switzerland
      10.3.11. Others
   10.4. APAC
      10.4.1. Singapore
      10.4.2. ANZ
      10.4.3. Japan
      10.4.4. China
      10.4.5. Hong Kong
      10.4.6. India
      10.4.7. South Korea
      10.4.8. Taiwan
      10.4.9. South East Asia
      10.4.10. Others
   10.5. Middle East
      10.5.1. U.A.E.
      10.5.2. Israel
      10.5.3. Saudi Arabia
      10.5.4. Others
   10.6. Africa
      10.6.1. South Africa
      10.6.2. Egypt
      10.6.3. Nigeria
      10.6.4. Others
11. Market Entropy
   11.1. New Product Launches
   11.2. M&As, Collaborations, JVs, Partnership
12. Company Profiles
   12.1. D2L CORPORATION (Canada)
   12.2. DREAMBOX LEARNING (U.S.)
   12.3. KNEWTON, Inc. (U.S.)
   12.4. WOLTERS KLUWER (The Netherlands)
   12.5. SMART SPARROW PTY LTD (Australia)
   12.6. Company 6
   12.7. Company 7
   12.8. Company 8
   12.9. Company 9
*More than 10 Companies are profiled in this Research Report*
"*Financials would be provided on a best efforts basis for private companies"
13. Appendix
   13.1. Abbreviations
   13.2. Sources
   13.3. Research Methodology
   13.4. Bibliography
   13.5. Compilation of Expert Insights   
   13.6. Disclaimer