Chapter 1. PERSONALIZED LEARNING MARKET – Scope & Methodology

1.1. Market Segmentation

1.2. Assumptions

1.3. Research Methodology

1.4. Primary Sources

1.5. Secondary Sources

Chapter 2. PERSONALIZED LEARNING MARKET – Executive Summary

2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)

2.2. Key Trends & Insights

2.3. COVID-19 Impact Analysis

      2.3.1. Impact during 2023 – 2030

      2.3.2. Impact on Supply – Demand

Chapter 3. PERSONALIZED LEARNING MARKET – Competition Scenario

3.1. Market Share Analysis

3.2. Product Benchmarking

3.3. Competitive Strategy & Development Scenario

3.4. Competitive Pricing Analysis

3.5. Supplier - Distributor Analysis

Chapter 4. PERSONALIZED LEARNING MARKET - Entry Scenario

4.1. Case Studies – Start-up/Thriving Companies

4.2. Regulatory Scenario - By Region

4.3 Customer Analysis

4.4. Porter's Five Force Model

       4.4.1. Bargaining Power of Suppliers

       4.4.2. Bargaining Powers of Customers

       4.4.3. Threat of New Entrants

       4.4.4. Rivalry among Existing Players

       4.4.5. Threat of Substitutes

Chapter 5. PERSONALIZED LEARNING MARKET - Landscape

5.1. Value Chain Analysis – Key Stakeholders Impact Analysis

5.2. Market Drivers

5.3. Market Restraints/Challenges

5.4. Market Opportunities

Chapter 6. PERSONALIZED LEARNING MARKET – By Type

6.1.  Online Courses

6.2. Software and APP

6.3. Offline Guide

6.4. Other

Chapter 7. PERSONALIZED LEARNING MARKET – By Application

7.1. Personal

7.2. Commercial

Chapter 8. PERSONALIZED LEARNING MARKET – By Region

8.1. North America

8.2. Europe

8.3. The Asia Pacific

8.4. Latin America

8.5. Middle-East and Africa

Chapter 9. PERSONALIZED LEARNING MARKET  – Company Profiles – (Overview, Product Portfolio, Financials, Developments)

9.1. Company 1

9.2. Company 2

9.3. Company 3

9.4. Company 4

9.5. Company 5

9.6. Company 6

9.7. Company 7

9.8. Company 8

9.9. Company 9

9.10. Company 10