Report Content
Chapter 1 Methodology & Scope
1.1 Scope & definitions
1.2 Methodology & forecast parameters
1.3 COVID-19 impact
1.3.1 North America
1.3.2 Europe
1.3.3 Asia Pacific
1.3.4 Latin America
1.3.5 MEA
1.4 Data sources
1.4.1 Secondary
1.4.2 Primary
Chapter 2 Executive Summary
2.1 Private tutoring industry 360º synopsis, 2017 - 2027
2.1.1 Business trends
2.1.2 Regional trends
2.1.3 Type trends
2.1.4 Mode trends
2.1.5 End user trends
2.1.6 Payment model trends
Chapter 3 Private Tutoring Industry Insights
3.1 Industry segmentation
3.2 Impact of coronavirus (COVID-19) pandemic
3.2.1 Global outlook
3.2.2 Regional outlook
3.2.2.1 North America
3.2.2.2 Europe
3.2.2.3 Asia Pacific
3.2.2.4 Latin America
3.2.2.5 MEA
3.2.3 Industry value chain
3.2.3.1 Research and development
3.2.3.2 Marketing
3.2.3.3 Supply
3.2.4 Competitive landscape
3.2.4.1 Strategy
3.2.4.2 Distribution network
3.2.4.3 Business growth
3.3 Industry ecosystem analysis
3.3.1 Private tutoring service providers
3.3.2 Technology providers
3.3.3 Distribution Network
3.3.4 Vendor matrix
3.3.4.1 Private tutoring service providers
3.3.4.2 Technology providers
3.3.4.3 Distribution Network
3.4 Technological & innovation landscape
3.4.1 Augmented Reality (AR) and Virtual Reality (VR)
3.4.2 E-learning
3.5 Regulatory landscape
3.5.1 North America
3.5.2 Europe
3.5.3 Asia Pacific
3.5.4 Latin America
3.5.5 MEA
3.6 Industry impact forces
3.6.1 Growth drivers
3.6.1.1 Increasing demand from corporates professionals enrolling in private tutoring programs in North America
3.6.1.2 Growing higher education sector in Europe
3.6.1.3 Rising number of private schools, universities, and colleges in Asia Pacific
3.6.1.4 Increasing awareness regarding the education in Latin America
3.6.1.5 Supportive government initiatives in MEA
3.6.2 Industry pitfalls & challenges
3.6.2.1 High cost restricting the use in underdeveloped countries
3.6.2.2 Slow internet connection and poor network
3.7 Growth potential analysis
3.8 Porter’s analysis
3.8.1 Supplier power
3.8.2 Buyer power
3.8.3 Threat of new entrants
3.8.4 Threat of substitutes
3.8.5 Internal rivalry
3.9 PESTEL analysis
3.9.1 Political
3.9.2 Economic
3.9.3 Social
3.9.4 Technological
3.9.5 Environmental
3.9.6 Legal
Chapter 4 Competitive Landscape,
4.1 Introduction
4.2 Competitive analysis of major players
4.2.1 BYJU’S
4.2.2 Chegg
4.2.3 Pearson Plc
4.2.4 Club Z! Inc.
4.2.5 Tal Academy
4.2.6 John Wiley & Sons Inc.
4.2.7 Kaplan
4.3 Competitive analysis of other prominent players
4.3.1 Varisty tutors
4.3.2 Preply
4.3.3 iTutorGroup
4.3.4 Skooli
4.3.5 Wyzant
4.3.6 Khan Academy
4.4 Vendor matrix adoption
Chapter 5 Private Tutoring Market, By Type
5.1 Private tutoring market share, by type, 2020 & 2027
5.2 Curriculum-based learning
5.2.1 Market estimates and forecast, 2017 - 2027
5.3 Test preparation
5.3.1 Market estimates and forecast, 2017 – 2027
Chapter 6 Private Tutoring Market, By Mode
6.1 Private tutoring market share, by type, 2020 & 2027
6.2 Online Tutoring
6.2.1 Market estimates and forecast, 2017 - 2027
6.3 Offline Tutoring
6.3.1 Market estimates and forecast, 2017 - 2027
Chapter 7 Private Tutoring Market, By End user
7.1 Private tutoring market share, by end user, 2020 & 2027
7.2 K-12 students
7.2.1 Market estimates and forecast, 2017 - 2027
7.3 Higher education
7.3.1 Market estimates and forecast, 2017 - 2027
Chapter 8 Private Tutoring Market, By Payment Model
8.1 Private tutoring market share, by payment model, 2020 & 2027
8.2 Subscription based
8.2.1 Market estimates and forecast, 2017 - 2027
8.3 Pay per hour
8.3.1 Market estimates and forecast, 2017 - 2027
Chapter 9 Private Tutoring Market, By Region
9.1 Private tutoring market share, by region, 2020 & 2027
9.2 North America
9.2.1 Market estimates and forecast, 2017 - 2027
9.2.2 Market estimates and forecast, by type, 2017 – 2027
9.2.3 Market estimates and forecast, by mode, 2017 – 2027
9.2.4 Market estimates and forecast, by end user, 2017 – 2027
9.2.5 Market estimates and forecast, by payment model, 2017 – 2027
9.2.6 U.S.
9.2.6.1 Market estimates and forecast, 2017 - 2027
9.2.6.2 Market estimates and forecast, by type, 2017 – 2027
9.2.6.3 Market estimates and forecast, by mode, 2017 – 2027
9.2.6.4 Market estimates and forecast, by end user, 2017 – 2027
9.2.6.5 Market estimates and forecast, by payment model, 2017 - 2027
9.2.7 Canada
9.2.7.1 Market estimates and forecast, 2017 - 2027
9.2.7.2 Market estimates and forecast, by type, 2017 – 2027
9.2.7.3 Market estimates and forecast, by mode, 2017 – 2027
9.2.7.4 Market estimates and forecast, by end user, 2017 – 2027
9.2.7.5 Market estimates and forecast, by payment model, 2017 - 2027
9.3 Europe
9.3.1 Market estimates and forecast, 2017 - 2027
9.3.2 Market estimates and forecast, by type, 2017 – 2027
9.3.3 Market estimates and forecast, by mode, 2017 – 2027
9.3.4 Market estimates and forecast, by end user, 2017 – 2027
9.3.5 Market estimates and forecast, by payment model, 2017 – 2027
9.3.6 UK
9.3.6.1 Market estimates and forecast, 2017 - 2027
9.3.6.2 Market estimates and forecast, by type, 2017 – 2027
9.3.6.3 Market estimates and forecast, by mode, 2017 – 2027
9.3.6.4 Market estimates and forecast, by end user, 2017 – 2027
9.3.6.5 Market estimates and forecast, by payment model, 2017 - 2027
9.3.7 Germany
9.3.7.1 Market estimates and forecast, 2017 - 2027
9.3.7.2 Market estimates and forecast, by type, 2017 – 2027
9.3.7.3 Market estimates and forecast, by mode, 2017 – 2027
9.3.7.4 Market estimates and forecast, by end user, 2017 – 2027
9.3.7.5 Market estimates and forecast, by payment model, 2017 - 2027
9.3.8 France
9.3.8.1 Market estimates and forecast, 2017 - 2027
9.3.8.2 Market estimates and forecast, by type, 2017 – 2027
9.3.8.3 Market estimates and forecast, by mode, 2017 – 2027
9.3.8.4 Market estimates and forecast, by end user, 2017 – 2027
9.3.8.5 Market estimates and forecast, by payment model, 2017 - 2027
9.3.9 Italy
9.3.9.1 Market estimates and forecast, 2017 - 2027
9.3.9.2 Market estimates and forecast, by type, 2017 – 2027
9.3.9.3 Market estimates and forecast, by mode, 2017 – 2027
9.3.9.4 Market estimates and forecast, by end user, 2017 – 2027
9.3.9.5 Market estimates and forecast, by payment model, 2017 - 2027
9.3.10 Spain
9.3.10.1 Market estimates and forecast, 2017 - 2027
9.3.10.2 Market estimates and forecast, by type, 2017 – 2027
9.3.10.3 Market estimates and forecast, by mode, 2017 – 2027
9.3.10.4 Market estimates and forecast, by end user, 2017 – 2027
9.3.10.5 Market estimates and forecast, by payment model, 2017 - 2027
9.3.11 Russia
9.3.11.1 Market estimates and forecast, 2017 - 2027
9.3.11.2 Market estimates and forecast, by type, 2017 – 2027
9.3.11.3 Market estimates and forecast, by mode, 2017 – 2027
9.3.11.4 Market estimates and forecast, by end user, 2017 – 2027
9.3.11.5 Market estimates and forecast, by payment model, 2017 – 2027
9.4 Asia Pacific
9.4.1 Market estimates and forecast, 2017 - 2027
9.4.2 Market estimates and forecast, by type, 2017 – 2027
9.4.3 Market estimates and forecast, by mode, 2017 – 2027
9.4.4 Market estimates and forecast, by end user, 2017 – 2027
9.4.5 Market estimates and forecast, by payment model, 2017 – 2027
9.4.6 China
9.4.6.1 Market estimates and forecast, 2017 - 2027
9.4.6.2 Market estimates and forecast, by type, 2017 – 2027
9.4.6.3 Market estimates and forecast, by mode, 2017 – 2027
9.4.6.4 Market estimates and forecast, by end user, 2017 – 2027
9.4.6.5 Market estimates and forecast, by payment model, 2017 - 2027
9.4.7 India
9.4.7.1 Market estimates and forecast, 2017 - 2027
9.4.7.2 Market estimates and forecast, by type, 2017 – 2027
9.4.7.3 Market estimates and forecast, by mode, 2017 – 2027
9.4.7.4 Market estimates and forecast, by end user, 2017 – 2027
9.4.7.5 Market estimates and forecast, by payment model, 2017 - 2027
9.4.8 Japan
9.4.8.1 Market estimates and forecast, 2017 - 2027
9.4.8.2 Market estimates and forecast, by type, 2017 – 2027
9.4.8.3 Market estimates and forecast, by mode, 2017 – 2027
9.4.8.4 Market estimates and forecast, by end user, 2017 – 2027
9.4.8.5 Market estimates and forecast, by payment model, 2017 - 2027
9.4.9 South Korea
9.4.9.1 Market estimates and forecast, 2017 - 2027
9.4.9.2 Market estimates and forecast, by type, 2017 – 2027
9.4.9.3 Market estimates and forecast, by mode, 2017 – 2027
9.4.9.4 Market estimates and forecast, by end user, 2017 – 2027
9.4.9.5 Market estimates and forecast, by payment model, 2017 – 2027
9.4.10 Singapore
9.4.10.1 Market estimates and forecast, 2017 - 2027
9.4.10.2 Market estimates and forecast, by type, 2017 – 2027
9.4.10.3 Market estimates and forecast, by mode, 2017 – 2027
9.4.10.4 Market estimates and forecast, by end user, 2017 – 2027
9.4.10.5 Market estimates and forecast, by payment model, 2017 – 2027
9.4.11 Australia
9.4.11.1 Market estimates and forecast, 2017 - 2027
9.4.11.2 Market estimates and forecast, by type, 2017 – 2027
9.4.11.3 Market estimates and forecast, by mode, 2017 – 2027
9.4.11.4 Market estimates and forecast, by end user, 2017 – 2027
9.4.11.5 Market estimates and forecast, by payment model, 2017 - 2027
9.5 Latin America
9.5.1 Market estimates and forecast, 2017 - 2027
9.5.2 Market estimates and forecast, by type, 2017 – 2027
9.5.3 Market estimates and forecast, by mode, 2017 – 2027
9.5.4 Market estimates and forecast, by end user, 2017 – 2027
9.5.5 Market estimates and forecast, by payment model, 2017 – 2027
9.5.6 Brazil
9.5.6.1 Market estimates and forecast, 2017 - 2027
9.5.6.2 Market estimates and forecast, by type, 2017 – 2027
9.5.6.3 Market estimates and forecast, by mode, 2017 – 2027
9.5.6.4 Market estimates and forecast, by end user, 2017 – 2027
9.5.6.5 Market estimates and forecast, by payment model, 2017 - 2027
9.5.7 Mexico
9.5.7.1 Market estimates and forecast, 2017 - 2027
9.5.7.2 Market estimates and forecast, by type, 2017 – 2027
9.5.7.3 Market estimates and forecast, by mode, 2017 – 2027
9.5.7.4 Market estimates and forecast, by end user, 2017 – 2027
9.5.7.5 Market estimates and forecast, by payment model, 2017 - 2027
9.6 MEA
9.6.1 Market estimates and forecast, 2017 - 2027
9.6.2 Market estimates and forecast, by type, 2017 – 2027
9.6.3 Market estimates and forecast, by mode, 2017 – 2027
9.6.4 Market estimates and forecast, by end user, 2017 – 2027
9.6.5 Market estimates and forecast, by payment model, 2017 – 2027
9.6.6 UAE
9.6.6.1 Market estimates and forecast, 2017 - 2027
9.6.6.2 Market estimates and forecast, by type, 2017 – 2027
9.6.6.3 Market estimates and forecast, by mode, 2017 – 2027
9.6.6.4 Market estimates and forecast, by end user, 2017 – 2027
9.6.6.5 Market estimates and forecast, by payment model, 2017 – 2027
9.6.7 South Africa
9.6.7.1 Market estimates and forecast, 2017 - 2027
9.6.7.2 Market estimates and forecast, by type, 2017 – 2027
9.6.7.3 Market estimates and forecast, by mode, 2017 – 2027
9.6.7.4 Market estimates and forecast, by end user, 2017 – 2027
9.6.7.5 Market estimates and forecast, by payment model, 2017 – 2027
9.6.8 Saudi Arabia
9.6.8.1 Market estimates and forecast, 2017 - 2027
9.6.8.2 Market estimates and forecast, by type, 2017 – 2027
9.6.8.3 Market estimates and forecast, by mode, 2017 – 2027
9.6.8.4 Market estimates and forecast, by end user, 2017 – 2027
9.6.8.5 Market estimates and forecast, by payment model, 2017 – 2027
Chapter 10 Company Profiles
10.1 BYJU’S
10.1.1 Business Overview
10.1.2 Financial Data
10.1.3 Product Landscape
10.1.4 Strategic Outlook
10.1.5 SWOT Analysis
10.2 Chegg
10.2.1 Business Overview
10.2.2 Financial Data
10.2.3 Product Landscape
10.2.4 Strategic Outlook
10.2.5 SWOT Analysis
10.3 Club Z! Inc.
10.3.1 Business Overview
10.3.2 Financial Data
10.3.3 Product Landscape
10.3.4 Strategic Outlook
10.3.5 SWOT Analysis
10.4 ETutor Pvt.LTD
10.4.1 Business Overview
10.4.2 Financial Data
10.4.3 Product Landscape
10.4.4 Strategic Outlook
10.4.5 SWOT Analysis
10.5 ITutorGroup
10.5.1 Business Overview
10.5.2 Financial Data
10.5.3 Product Landscape
10.5.4 Strategic Outlook
10.5.5 SWOT Analysis
10.6 John Wiley & Sons Inc.
10.6.1 Business Overview
10.6.2 Financial Data
10.6.3 Product Landscape
10.6.4 Strategic Outlook
10.6.5 SWOT Analysis
10.7 Kaplan
10.7.1 Business Overview
10.7.2 Financial Data
10.7.3 Product Landscape
10.7.4 Strategic Outlook
10.7.5 SWOT Analysis
10.8 Khan Academy
10.8.1 Business Overview
10.8.2 Financial Data
10.8.3 Product Landscape
10.8.4 Strategic Outlook
10.8.5 SWOT Analysis
10.9 Pearson Plc
10.9.1 Business Overview
10.9.2 Financial Data
10.9.3 Product Landscape
10.9.4 Strategic Outlook
10.9.5 SWOT Analysis
10.10 Preply
10.10.1 Business Overview
10.10.2 Financial Data
10.10.3 Product Landscape
10.10.4 Strategic Outlook
10.10.5 SWOT Analysis
10.11 Revolution Prep
10.11.1 Business Overview
10.11.2 Financial Data
10.11.3 Product Landscape
10.11.4 Strategic Outlook
10.11.5 SWOT Analysis
10.12 Skooli
10.12.1 Business Overview
10.12.2 Financial Data
10.12.3 Product Landscape
10.12.4 Strategic Outlook
10.12.5 SWOT Analysis
10.13 Tal Group
10.13.1 Business Overview
10.13.2 Financial Data
10.13.3 Product Landscape
10.13.4 Strategic Outlook
10.13.5 SWOT Analysis
10.14 Tutor ME
10.14.1 Business Overview
10.14.2 Financial Data
10.14.3 Product Landscape
10.14.4 Strategic Outlook
10.14.5 SWOT Analysis
10.15 Varisty tutors
10.15.1 Business Overview
10.15.2 Financial Data
10.15.3 Product Landscape
10.15.4 Strategic Outlook
10.15.5 SWOT Analysis
10.16 Vedanta Innovations Pvt. Ltd.
10.16.1 Business Overview
10.16.2 Financial Data
10.16.3 Product Landscape
10.16.4 Strategic Outlook
10.16.5 SWOT Analysis
10.17 Wyzant
10.17.1 Business Overview
10.17.2 Financial Data
10.17.3 Product Landscape
10.17.4 Strategic Outlook
10.17.5 SWOT Analysis
