Online Code Learning

Online Code Learning Comprehensive Study by Type (Intermediate, Primary, Senior), Application (School, Collage, Individual, Others), End Users (Adult, Teenagers, Child), Programing Language (Python, Java, JavaScript, Ruby, C++, Others) Players and Region - Global Market Outlook to 2027

Online Code Learning Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Online Code Learning
Online Code Learning is online learning platform or academy which is teach the coding or programing language which is java , python , JavaScript, Ruby, SQL, C++, HTML, and CSS. Online Code Learning is the learning method of coding through online education platform with out in academy joining. The online code learning tech the code formation and coding using different software. Due to online code learning the learner learn the code in her home and using her pc or laptop. Coding entails using a computer programming language to communicate and give instructions for various actions we want our computers to perform. Programming languages such as JavaScript, Java, C/C++, or Python serve as a bridge between humans and machines.

AttributesDetails
Study Period2017-2027
Base Year2021
UnitValue (USD Million)


The Global market of Online Code Learning is included more number of player which are provide high number of services so the global market are less competition. In worldwide market of Online Code Learning the presented companies follow the new launch or innovation of product for increasing their revenue and growth. Analyst at AMA Research estimates that United States Vendors will contribute the maximum growth to Global Online Code Learning market throughout the forecasted period. Established and emerging Vendors should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Codecademy (United States), Udemy (United States), Freecodecamp (United States), Coursera (United States), Edx (United States), Skillsoft (United States), W3schools (Norway), Shaw Academy (Ireland), Code.Org (United States) and Treehouse (United States) are some of the key players that are part of study coverage. Additionally, the Vendors which are also part of the research coverage are Codewars (United States), Udacity (United States) and Envato Tuts+ (Australia).

Segmentation Overview
AMA Research has segmented the market of Global Online Code Learning market by Type (Intermediate, Primary and Senior), Application (School, Collage, Individual and Others) and Region.



On the basis of geography, the market of Online Code Learning has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by End Users, the sub-segment i.e. Adult will boost the Online Code Learning market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Programing Language , the sub-segment i.e. Python will boost the Online Code Learning market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Online Code Learning Market Dynamics:
AttributesDetails
Growth Drivers
  • Growing Acceptance of Online Code Learning In Parent for Theirs Kids
  • Mounting Petition for Build the Prototypes
  • Upward Adoption of Online Code Learning For Enhancing the Problem Solving Skill
Influencing Trends
  • Rapid Urbanization and Digital Revolution Rises Demand of Coding Program
Restraints
  • High Cost of Online Coding Program
  • No Guaranteed Success
Road Blocks / Challenges
  • Internet Connection Speed
  • Hard To Performing Evaluations
  • Hard To Reducing Instances of Cheating
  • Risk of Safety of System
Gaps & Opportunities
  • Opportunity to Learn To Develops Logic and Creativity
  • Occasion to Become Software Application Developer


Market Leaders and their expansionary development strategies
On 5 April 2022 Skillsoft Completes Acquisition of Codecademy. Skillsoft Corp. a global leader in corporate digital learning, announced today the completion of its acquisition of Codecademy, a leading online technical learning platform. The acquisition opens up significant cross-selling opportunities and is expected to immediately boost Skillsoft's bookings, revenue growth, and gross margins. In the coming weeks, the company expects to begin offering an integrated solution to enterprise customers. The addition of Codecademy's innovative and popular learning platform to Skillsoft's existing offering adds scalable, interactive courses and hands-on learning and addresses deep user needs for modern technical skills in 14 coding languages as well as cloud, cybersecurity, and data science
In 2021 Zero Code launches online program with internship for coding. An online certification boot camp has been launched to meet the increasing demand for quality and quick programmers for the country's ongoing "digital revolution." The special 10-day boot-camp created by Zero Code Innovation, an emerging IT company based in Hyderabad, is a no-code technology platform that will teach students how to develop software without writing any code. According to Zero Code Innovation, the outcome of this course would be that any learner could build enterprise-grade apps on mobile or web without any prior knowledge


Key Target Audience
Online Code Learning provider, Investor, New Entrance, Government Bodies, Corporate Entities and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Intermediate
  • Primary
  • Senior
By Application
  • School
  • Collage
  • Individual
  • Others
By End Users
  • Adult
  • Teenagers
  • Child

By Programing Language
  • Python
  • Java
  • JavaScript
  • Ruby
  • C++
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Growing Acceptance of Online Code Learning In Parent for Theirs Kids
      • 3.2.2. Mounting Petition for Build the Prototypes
      • 3.2.3. Upward Adoption of Online Code Learning For Enhancing the Problem Solving Skill
    • 3.3. Market Challenges
      • 3.3.1. Internet Connection Speed
      • 3.3.2. Hard To Performing Evaluations
      • 3.3.3. Hard To Reducing Instances of Cheating
      • 3.3.4. Risk of Safety of System
    • 3.4. Market Trends
      • 3.4.1. Rapid Urbanization and Digital Revolution Rises Demand of Coding Program
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Online Code Learning, by Type, Application, End Users, Programing Language and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Online Code Learning (Value)
      • 5.2.1. Global Online Code Learning by: Type (Value)
        • 5.2.1.1. Intermediate
        • 5.2.1.2. Primary
        • 5.2.1.3. Senior
      • 5.2.2. Global Online Code Learning by: Application (Value)
        • 5.2.2.1. School
        • 5.2.2.2. Collage
        • 5.2.2.3. Individual
        • 5.2.2.4. Others
      • 5.2.3. Global Online Code Learning by: End Users (Value)
        • 5.2.3.1. Adult
        • 5.2.3.2. Teenagers
        • 5.2.3.3. Child
      • 5.2.4. Global Online Code Learning Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global Online Code Learning (Price)
      • 5.3.1. Global Online Code Learning by: Type (Price)
  • 6. Online Code Learning: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Codecademy (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Udemy (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Freecodecamp (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Coursera (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Edx (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Skillsoft (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. W3schools (Norway)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Shaw Academy (Ireland)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Code.Org (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Treehouse (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Online Code Learning Sale, by Type, Application, End Users, Programing Language and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Online Code Learning (Value)
      • 7.2.1. Global Online Code Learning by: Type (Value)
        • 7.2.1.1. Intermediate
        • 7.2.1.2. Primary
        • 7.2.1.3. Senior
      • 7.2.2. Global Online Code Learning by: Application (Value)
        • 7.2.2.1. School
        • 7.2.2.2. Collage
        • 7.2.2.3. Individual
        • 7.2.2.4. Others
      • 7.2.3. Global Online Code Learning by: End Users (Value)
        • 7.2.3.1. Adult
        • 7.2.3.2. Teenagers
        • 7.2.3.3. Child
      • 7.2.4. Global Online Code Learning Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global Online Code Learning (Price)
      • 7.3.1. Global Online Code Learning by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Online Code Learning: by Type(USD Million)
  • Table 2. Online Code Learning Intermediate , by Region USD Million (2016-2021)
  • Table 3. Online Code Learning Primary , by Region USD Million (2016-2021)
  • Table 4. Online Code Learning Senior , by Region USD Million (2016-2021)
  • Table 5. Online Code Learning: by Application(USD Million)
  • Table 6. Online Code Learning School , by Region USD Million (2016-2021)
  • Table 7. Online Code Learning Collage , by Region USD Million (2016-2021)
  • Table 8. Online Code Learning Individual , by Region USD Million (2016-2021)
  • Table 9. Online Code Learning Others , by Region USD Million (2016-2021)
  • Table 10. Online Code Learning: by End Users(USD Million)
  • Table 11. Online Code Learning Adult , by Region USD Million (2016-2021)
  • Table 12. Online Code Learning Teenagers , by Region USD Million (2016-2021)
  • Table 13. Online Code Learning Child , by Region USD Million (2016-2021)
  • Table 14. South America Online Code Learning, by Country USD Million (2016-2021)
  • Table 15. South America Online Code Learning, by Type USD Million (2016-2021)
  • Table 16. South America Online Code Learning, by Application USD Million (2016-2021)
  • Table 17. South America Online Code Learning, by End Users USD Million (2016-2021)
  • Table 18. South America Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 19. Brazil Online Code Learning, by Type USD Million (2016-2021)
  • Table 20. Brazil Online Code Learning, by Application USD Million (2016-2021)
  • Table 21. Brazil Online Code Learning, by End Users USD Million (2016-2021)
  • Table 22. Brazil Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 23. Argentina Online Code Learning, by Type USD Million (2016-2021)
  • Table 24. Argentina Online Code Learning, by Application USD Million (2016-2021)
  • Table 25. Argentina Online Code Learning, by End Users USD Million (2016-2021)
  • Table 26. Argentina Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 27. Rest of South America Online Code Learning, by Type USD Million (2016-2021)
  • Table 28. Rest of South America Online Code Learning, by Application USD Million (2016-2021)
  • Table 29. Rest of South America Online Code Learning, by End Users USD Million (2016-2021)
  • Table 30. Rest of South America Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 31. Asia Pacific Online Code Learning, by Country USD Million (2016-2021)
  • Table 32. Asia Pacific Online Code Learning, by Type USD Million (2016-2021)
  • Table 33. Asia Pacific Online Code Learning, by Application USD Million (2016-2021)
  • Table 34. Asia Pacific Online Code Learning, by End Users USD Million (2016-2021)
  • Table 35. Asia Pacific Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 36. China Online Code Learning, by Type USD Million (2016-2021)
  • Table 37. China Online Code Learning, by Application USD Million (2016-2021)
  • Table 38. China Online Code Learning, by End Users USD Million (2016-2021)
  • Table 39. China Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 40. Japan Online Code Learning, by Type USD Million (2016-2021)
  • Table 41. Japan Online Code Learning, by Application USD Million (2016-2021)
  • Table 42. Japan Online Code Learning, by End Users USD Million (2016-2021)
  • Table 43. Japan Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 44. India Online Code Learning, by Type USD Million (2016-2021)
  • Table 45. India Online Code Learning, by Application USD Million (2016-2021)
  • Table 46. India Online Code Learning, by End Users USD Million (2016-2021)
  • Table 47. India Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 48. South Korea Online Code Learning, by Type USD Million (2016-2021)
  • Table 49. South Korea Online Code Learning, by Application USD Million (2016-2021)
  • Table 50. South Korea Online Code Learning, by End Users USD Million (2016-2021)
  • Table 51. South Korea Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 52. Taiwan Online Code Learning, by Type USD Million (2016-2021)
  • Table 53. Taiwan Online Code Learning, by Application USD Million (2016-2021)
  • Table 54. Taiwan Online Code Learning, by End Users USD Million (2016-2021)
  • Table 55. Taiwan Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 56. Australia Online Code Learning, by Type USD Million (2016-2021)
  • Table 57. Australia Online Code Learning, by Application USD Million (2016-2021)
  • Table 58. Australia Online Code Learning, by End Users USD Million (2016-2021)
  • Table 59. Australia Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 60. Rest of Asia-Pacific Online Code Learning, by Type USD Million (2016-2021)
  • Table 61. Rest of Asia-Pacific Online Code Learning, by Application USD Million (2016-2021)
  • Table 62. Rest of Asia-Pacific Online Code Learning, by End Users USD Million (2016-2021)
  • Table 63. Rest of Asia-Pacific Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 64. Europe Online Code Learning, by Country USD Million (2016-2021)
  • Table 65. Europe Online Code Learning, by Type USD Million (2016-2021)
  • Table 66. Europe Online Code Learning, by Application USD Million (2016-2021)
  • Table 67. Europe Online Code Learning, by End Users USD Million (2016-2021)
  • Table 68. Europe Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 69. Germany Online Code Learning, by Type USD Million (2016-2021)
  • Table 70. Germany Online Code Learning, by Application USD Million (2016-2021)
  • Table 71. Germany Online Code Learning, by End Users USD Million (2016-2021)
  • Table 72. Germany Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 73. France Online Code Learning, by Type USD Million (2016-2021)
  • Table 74. France Online Code Learning, by Application USD Million (2016-2021)
  • Table 75. France Online Code Learning, by End Users USD Million (2016-2021)
  • Table 76. France Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 77. Italy Online Code Learning, by Type USD Million (2016-2021)
  • Table 78. Italy Online Code Learning, by Application USD Million (2016-2021)
  • Table 79. Italy Online Code Learning, by End Users USD Million (2016-2021)
  • Table 80. Italy Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 81. United Kingdom Online Code Learning, by Type USD Million (2016-2021)
  • Table 82. United Kingdom Online Code Learning, by Application USD Million (2016-2021)
  • Table 83. United Kingdom Online Code Learning, by End Users USD Million (2016-2021)
  • Table 84. United Kingdom Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 85. Netherlands Online Code Learning, by Type USD Million (2016-2021)
  • Table 86. Netherlands Online Code Learning, by Application USD Million (2016-2021)
  • Table 87. Netherlands Online Code Learning, by End Users USD Million (2016-2021)
  • Table 88. Netherlands Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 89. Rest of Europe Online Code Learning, by Type USD Million (2016-2021)
  • Table 90. Rest of Europe Online Code Learning, by Application USD Million (2016-2021)
  • Table 91. Rest of Europe Online Code Learning, by End Users USD Million (2016-2021)
  • Table 92. Rest of Europe Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 93. MEA Online Code Learning, by Country USD Million (2016-2021)
  • Table 94. MEA Online Code Learning, by Type USD Million (2016-2021)
  • Table 95. MEA Online Code Learning, by Application USD Million (2016-2021)
  • Table 96. MEA Online Code Learning, by End Users USD Million (2016-2021)
  • Table 97. MEA Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 98. Middle East Online Code Learning, by Type USD Million (2016-2021)
  • Table 99. Middle East Online Code Learning, by Application USD Million (2016-2021)
  • Table 100. Middle East Online Code Learning, by End Users USD Million (2016-2021)
  • Table 101. Middle East Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 102. Africa Online Code Learning, by Type USD Million (2016-2021)
  • Table 103. Africa Online Code Learning, by Application USD Million (2016-2021)
  • Table 104. Africa Online Code Learning, by End Users USD Million (2016-2021)
  • Table 105. Africa Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 106. North America Online Code Learning, by Country USD Million (2016-2021)
  • Table 107. North America Online Code Learning, by Type USD Million (2016-2021)
  • Table 108. North America Online Code Learning, by Application USD Million (2016-2021)
  • Table 109. North America Online Code Learning, by End Users USD Million (2016-2021)
  • Table 110. North America Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 111. United States Online Code Learning, by Type USD Million (2016-2021)
  • Table 112. United States Online Code Learning, by Application USD Million (2016-2021)
  • Table 113. United States Online Code Learning, by End Users USD Million (2016-2021)
  • Table 114. United States Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 115. Canada Online Code Learning, by Type USD Million (2016-2021)
  • Table 116. Canada Online Code Learning, by Application USD Million (2016-2021)
  • Table 117. Canada Online Code Learning, by End Users USD Million (2016-2021)
  • Table 118. Canada Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 119. Mexico Online Code Learning, by Type USD Million (2016-2021)
  • Table 120. Mexico Online Code Learning, by Application USD Million (2016-2021)
  • Table 121. Mexico Online Code Learning, by End Users USD Million (2016-2021)
  • Table 122. Mexico Online Code Learning, by Programing Language USD Million (2016-2021)
  • Table 123. Online Code Learning: by Type(USD/Units)
  • Table 124. Company Basic Information, Sales Area and Its Competitors
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Online Code Learning: by Type(USD Million)
  • Table 135. Online Code Learning Intermediate , by Region USD Million (2022-2027)
  • Table 136. Online Code Learning Primary , by Region USD Million (2022-2027)
  • Table 137. Online Code Learning Senior , by Region USD Million (2022-2027)
  • Table 138. Online Code Learning: by Application(USD Million)
  • Table 139. Online Code Learning School , by Region USD Million (2022-2027)
  • Table 140. Online Code Learning Collage , by Region USD Million (2022-2027)
  • Table 141. Online Code Learning Individual , by Region USD Million (2022-2027)
  • Table 142. Online Code Learning Others , by Region USD Million (2022-2027)
  • Table 143. Online Code Learning: by End Users(USD Million)
  • Table 144. Online Code Learning Adult , by Region USD Million (2022-2027)
  • Table 145. Online Code Learning Teenagers , by Region USD Million (2022-2027)
  • Table 146. Online Code Learning Child , by Region USD Million (2022-2027)
  • Table 147. South America Online Code Learning, by Country USD Million (2022-2027)
  • Table 148. South America Online Code Learning, by Type USD Million (2022-2027)
  • Table 149. South America Online Code Learning, by Application USD Million (2022-2027)
  • Table 150. South America Online Code Learning, by End Users USD Million (2022-2027)
  • Table 151. South America Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 152. Brazil Online Code Learning, by Type USD Million (2022-2027)
  • Table 153. Brazil Online Code Learning, by Application USD Million (2022-2027)
  • Table 154. Brazil Online Code Learning, by End Users USD Million (2022-2027)
  • Table 155. Brazil Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 156. Argentina Online Code Learning, by Type USD Million (2022-2027)
  • Table 157. Argentina Online Code Learning, by Application USD Million (2022-2027)
  • Table 158. Argentina Online Code Learning, by End Users USD Million (2022-2027)
  • Table 159. Argentina Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 160. Rest of South America Online Code Learning, by Type USD Million (2022-2027)
  • Table 161. Rest of South America Online Code Learning, by Application USD Million (2022-2027)
  • Table 162. Rest of South America Online Code Learning, by End Users USD Million (2022-2027)
  • Table 163. Rest of South America Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 164. Asia Pacific Online Code Learning, by Country USD Million (2022-2027)
  • Table 165. Asia Pacific Online Code Learning, by Type USD Million (2022-2027)
  • Table 166. Asia Pacific Online Code Learning, by Application USD Million (2022-2027)
  • Table 167. Asia Pacific Online Code Learning, by End Users USD Million (2022-2027)
  • Table 168. Asia Pacific Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 169. China Online Code Learning, by Type USD Million (2022-2027)
  • Table 170. China Online Code Learning, by Application USD Million (2022-2027)
  • Table 171. China Online Code Learning, by End Users USD Million (2022-2027)
  • Table 172. China Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 173. Japan Online Code Learning, by Type USD Million (2022-2027)
  • Table 174. Japan Online Code Learning, by Application USD Million (2022-2027)
  • Table 175. Japan Online Code Learning, by End Users USD Million (2022-2027)
  • Table 176. Japan Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 177. India Online Code Learning, by Type USD Million (2022-2027)
  • Table 178. India Online Code Learning, by Application USD Million (2022-2027)
  • Table 179. India Online Code Learning, by End Users USD Million (2022-2027)
  • Table 180. India Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 181. South Korea Online Code Learning, by Type USD Million (2022-2027)
  • Table 182. South Korea Online Code Learning, by Application USD Million (2022-2027)
  • Table 183. South Korea Online Code Learning, by End Users USD Million (2022-2027)
  • Table 184. South Korea Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 185. Taiwan Online Code Learning, by Type USD Million (2022-2027)
  • Table 186. Taiwan Online Code Learning, by Application USD Million (2022-2027)
  • Table 187. Taiwan Online Code Learning, by End Users USD Million (2022-2027)
  • Table 188. Taiwan Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 189. Australia Online Code Learning, by Type USD Million (2022-2027)
  • Table 190. Australia Online Code Learning, by Application USD Million (2022-2027)
  • Table 191. Australia Online Code Learning, by End Users USD Million (2022-2027)
  • Table 192. Australia Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 193. Rest of Asia-Pacific Online Code Learning, by Type USD Million (2022-2027)
  • Table 194. Rest of Asia-Pacific Online Code Learning, by Application USD Million (2022-2027)
  • Table 195. Rest of Asia-Pacific Online Code Learning, by End Users USD Million (2022-2027)
  • Table 196. Rest of Asia-Pacific Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 197. Europe Online Code Learning, by Country USD Million (2022-2027)
  • Table 198. Europe Online Code Learning, by Type USD Million (2022-2027)
  • Table 199. Europe Online Code Learning, by Application USD Million (2022-2027)
  • Table 200. Europe Online Code Learning, by End Users USD Million (2022-2027)
  • Table 201. Europe Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 202. Germany Online Code Learning, by Type USD Million (2022-2027)
  • Table 203. Germany Online Code Learning, by Application USD Million (2022-2027)
  • Table 204. Germany Online Code Learning, by End Users USD Million (2022-2027)
  • Table 205. Germany Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 206. France Online Code Learning, by Type USD Million (2022-2027)
  • Table 207. France Online Code Learning, by Application USD Million (2022-2027)
  • Table 208. France Online Code Learning, by End Users USD Million (2022-2027)
  • Table 209. France Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 210. Italy Online Code Learning, by Type USD Million (2022-2027)
  • Table 211. Italy Online Code Learning, by Application USD Million (2022-2027)
  • Table 212. Italy Online Code Learning, by End Users USD Million (2022-2027)
  • Table 213. Italy Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 214. United Kingdom Online Code Learning, by Type USD Million (2022-2027)
  • Table 215. United Kingdom Online Code Learning, by Application USD Million (2022-2027)
  • Table 216. United Kingdom Online Code Learning, by End Users USD Million (2022-2027)
  • Table 217. United Kingdom Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 218. Netherlands Online Code Learning, by Type USD Million (2022-2027)
  • Table 219. Netherlands Online Code Learning, by Application USD Million (2022-2027)
  • Table 220. Netherlands Online Code Learning, by End Users USD Million (2022-2027)
  • Table 221. Netherlands Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 222. Rest of Europe Online Code Learning, by Type USD Million (2022-2027)
  • Table 223. Rest of Europe Online Code Learning, by Application USD Million (2022-2027)
  • Table 224. Rest of Europe Online Code Learning, by End Users USD Million (2022-2027)
  • Table 225. Rest of Europe Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 226. MEA Online Code Learning, by Country USD Million (2022-2027)
  • Table 227. MEA Online Code Learning, by Type USD Million (2022-2027)
  • Table 228. MEA Online Code Learning, by Application USD Million (2022-2027)
  • Table 229. MEA Online Code Learning, by End Users USD Million (2022-2027)
  • Table 230. MEA Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 231. Middle East Online Code Learning, by Type USD Million (2022-2027)
  • Table 232. Middle East Online Code Learning, by Application USD Million (2022-2027)
  • Table 233. Middle East Online Code Learning, by End Users USD Million (2022-2027)
  • Table 234. Middle East Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 235. Africa Online Code Learning, by Type USD Million (2022-2027)
  • Table 236. Africa Online Code Learning, by Application USD Million (2022-2027)
  • Table 237. Africa Online Code Learning, by End Users USD Million (2022-2027)
  • Table 238. Africa Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 239. North America Online Code Learning, by Country USD Million (2022-2027)
  • Table 240. North America Online Code Learning, by Type USD Million (2022-2027)
  • Table 241. North America Online Code Learning, by Application USD Million (2022-2027)
  • Table 242. North America Online Code Learning, by End Users USD Million (2022-2027)
  • Table 243. North America Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 244. United States Online Code Learning, by Type USD Million (2022-2027)
  • Table 245. United States Online Code Learning, by Application USD Million (2022-2027)
  • Table 246. United States Online Code Learning, by End Users USD Million (2022-2027)
  • Table 247. United States Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 248. Canada Online Code Learning, by Type USD Million (2022-2027)
  • Table 249. Canada Online Code Learning, by Application USD Million (2022-2027)
  • Table 250. Canada Online Code Learning, by End Users USD Million (2022-2027)
  • Table 251. Canada Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 252. Mexico Online Code Learning, by Type USD Million (2022-2027)
  • Table 253. Mexico Online Code Learning, by Application USD Million (2022-2027)
  • Table 254. Mexico Online Code Learning, by End Users USD Million (2022-2027)
  • Table 255. Mexico Online Code Learning, by Programing Language USD Million (2022-2027)
  • Table 256. Online Code Learning: by Type(USD/Units)
  • Table 257. Research Programs/Design for This Report
  • Table 258. Key Data Information from Secondary Sources
  • Table 259. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Online Code Learning: by Type USD Million (2016-2021)
  • Figure 5. Global Online Code Learning: by Application USD Million (2016-2021)
  • Figure 6. Global Online Code Learning: by End Users USD Million (2016-2021)
  • Figure 7. South America Online Code Learning Share (%), by Country
  • Figure 8. Asia Pacific Online Code Learning Share (%), by Country
  • Figure 9. Europe Online Code Learning Share (%), by Country
  • Figure 10. MEA Online Code Learning Share (%), by Country
  • Figure 11. North America Online Code Learning Share (%), by Country
  • Figure 12. Global Online Code Learning: by Type USD/Units (2016-2021)
  • Figure 13. Global Online Code Learning share by Players 2021 (%)
  • Figure 14. Global Online Code Learning share by Players (Top 3) 2021(%)
  • Figure 15. Global Online Code Learning share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Codecademy (United States) Revenue, Net Income and Gross profit
  • Figure 18. Codecademy (United States) Revenue: by Geography 2021
  • Figure 19. Udemy (United States) Revenue, Net Income and Gross profit
  • Figure 20. Udemy (United States) Revenue: by Geography 2021
  • Figure 21. Freecodecamp (United States) Revenue, Net Income and Gross profit
  • Figure 22. Freecodecamp (United States) Revenue: by Geography 2021
  • Figure 23. Coursera (United States) Revenue, Net Income and Gross profit
  • Figure 24. Coursera (United States) Revenue: by Geography 2021
  • Figure 25. Edx (United States) Revenue, Net Income and Gross profit
  • Figure 26. Edx (United States) Revenue: by Geography 2021
  • Figure 27. Skillsoft (United States) Revenue, Net Income and Gross profit
  • Figure 28. Skillsoft (United States) Revenue: by Geography 2021
  • Figure 29. W3schools (Norway) Revenue, Net Income and Gross profit
  • Figure 30. W3schools (Norway) Revenue: by Geography 2021
  • Figure 31. Shaw Academy (Ireland) Revenue, Net Income and Gross profit
  • Figure 32. Shaw Academy (Ireland) Revenue: by Geography 2021
  • Figure 33. Code.Org (United States) Revenue, Net Income and Gross profit
  • Figure 34. Code.Org (United States) Revenue: by Geography 2021
  • Figure 35. Treehouse (United States) Revenue, Net Income and Gross profit
  • Figure 36. Treehouse (United States) Revenue: by Geography 2021
  • Figure 37. Global Online Code Learning: by Type USD Million (2022-2027)
  • Figure 38. Global Online Code Learning: by Application USD Million (2022-2027)
  • Figure 39. Global Online Code Learning: by End Users USD Million (2022-2027)
  • Figure 40. South America Online Code Learning Share (%), by Country
  • Figure 41. Asia Pacific Online Code Learning Share (%), by Country
  • Figure 42. Europe Online Code Learning Share (%), by Country
  • Figure 43. MEA Online Code Learning Share (%), by Country
  • Figure 44. North America Online Code Learning Share (%), by Country
  • Figure 45. Global Online Code Learning: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • Codecademy (United States)
  • Udemy (United States)
  • Freecodecamp (United States)
  • Coursera (United States)
  • Edx (United States)
  • Skillsoft (United States)
  • W3schools (Norway)
  • Shaw Academy (Ireland)
  • Code.Org (United States)
  • Treehouse (United States)
Additional players considered in the study are as follows:
Codewars (United States) , Udacity (United States) , Envato Tuts+ (Australia)
Select User Access Type

Key Highlights of Report


Aug 2022 237 Pages 97 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Online Code Learning Quantitative research analysis
Online Code Learning Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Codecademy (United States), Udemy (United States), Freecodecamp (United States), Coursera (United States), Edx (United States), Skillsoft (United States), W3schools (Norway), Shaw Academy (Ireland), Code.Org (United States) and Treehouse (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Rapid Urbanization and Digital Revolution Rises Demand of Coding Program" is seen as one of major influencing trends for Online Code Learning Market during projected period 2021-2027.
The Online Code Learning market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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