46 datasets found
  1. Gross tertiary enrollment ratio in South Africa 1970-2022

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). Gross tertiary enrollment ratio in South Africa 1970-2022 [Dataset]. https://www.statista.com/statistics/1261626/south-africa-gross-tertiary-school-enrollment-ratio/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    The gross tertiary enrollment ratio in South Africa amounted to ***** percent in 2022. Between 1970 and 2022, the gross tertiary enrollment ratio rose by ***** percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

  2. Share of student participation in South Africa 2022, by population group

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Share of student participation in South Africa 2022, by population group [Dataset]. https://www.statista.com/statistics/1115545/student-participation-rates-in-south-africa-by-population-group/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    As of 2022, 5.5 percent of Black Africans aged 18 to 29 were enrolled at a higher education institution in South Africa, which marks an increase of 2.6 percentage points compared to 2002. And while Black Africans constituted the majority of young adult students in numbers, the participation rate of this population group continued to be lower compared to the Indian/Asians at 19.6 percent and the white population group at 17.7 percent.

  3. F

    Ratio of Female to Male Tertiary School Enrollment for South Africa

    • fred.stlouisfed.org
    json
    Updated Oct 24, 2024
    + more versions
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    (2024). Ratio of Female to Male Tertiary School Enrollment for South Africa [Dataset]. https://fred.stlouisfed.org/series/SEENRTERTFMZSZAF
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 24, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    South Africa
    Description

    Graph and download economic data for Ratio of Female to Male Tertiary School Enrollment for South Africa (SEENRTERTFMZSZAF) from 1988 to 2022 about enrolled, South Africa, ratio, females, tertiary schooling, males, and education.

  4. Forecast: Higher Education Expenditure on R&D in South Africa 2022 - 2026

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Higher Education Expenditure on R&D in South Africa 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/9ac5724dd02637b55fa0d529e15746dddc4bd346
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    Dataset updated
    Apr 7, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    South Africa
    Description

    Forecast: Higher Education Expenditure on R&D in South Africa 2022 - 2026 Discover more data with ReportLinker!

  5. T

    South Africa - School Enrollment, Tertiary (% Gross)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 1, 2013
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    TRADING ECONOMICS (2013). South Africa - School Enrollment, Tertiary (% Gross) [Dataset]. https://tradingeconomics.com/south-africa/school-enrollment-tertiary-percent-gross-wb-data.html
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Sep 1, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    School enrollment, tertiary (% gross) in South Africa was reported at 27.17 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - School enrollment, tertiary (% gross) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  6. Gender parity ratio in tertiary education enrollment in South Africa...

    • statista.com
    Updated Jul 30, 2025
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    Statista (2025). Gender parity ratio in tertiary education enrollment in South Africa 1988-2022 [Dataset]. https://www.statista.com/statistics/1261629/gender-parity-index-for-tertiary-school-enrollment-in-south-africa/
    Explore at:
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    The Gender Parity Index (GPI) for gross enrollment in tertiary education in South Africa was **** points in 2022. Between 1988 and 2022, the Gender Parity Index (GPI) rose by **** points, though the increase followed an uneven trajectory rather than a consistent upward trend.

  7. Forecast: Higher Education Researchers in South Africa 2022 - 2026

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Higher Education Researchers in South Africa 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/dc358669b212d206fd4838dd5e0aac82b5d0b240
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    Dataset updated
    Apr 8, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    South Africa
    Description

    Forecast: Higher Education Researchers in South Africa 2022 - 2026 Discover more data with ReportLinker!

  8. Share of youth attending educational institutions in South Africa 2022, by...

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Share of youth attending educational institutions in South Africa 2022, by province [Dataset]. https://www.statista.com/statistics/1114303/share-of-youth-attending-educational-institutions-in-south-africa-by-province/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    In 2022, approximately 76 percent of individuals aged 7 to 24 years attended educational institutions in South Africa. While Mpumalanga experienced a slight increase of 0.1 percentage points over that period, other provinces like the Northern Cape, Western Cape, and Free State experienced higher increases of 7.3, 6.4, and 5.4 percentage points, respectively.

  9. T

    South Africa - School Enrollment, Tertiary, Male (% Gross)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 7, 2017
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    TRADING ECONOMICS (2017). South Africa - School Enrollment, Tertiary, Male (% Gross) [Dataset]. https://tradingeconomics.com/south-africa/school-enrollment-tertiary-male-percent-gross-wb-data.html
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jun 7, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    School enrollment, tertiary, male (% gross) in South Africa was reported at 20.33 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - School enrollment, tertiary, male (% gross) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  10. Distance Learning Market Analysis North America, Europe, APAC, Middle East...

    • technavio.com
    pdf
    Updated Nov 20, 2023
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    Technavio (2023). Distance Learning Market Analysis North America, Europe, APAC, Middle East and Africa, South America - US, Canada, China, UK, Germany - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/distance-learning-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    China, Germany, United Kingdom, United States, Canada
    Description

    Snapshot img

    Distance Learning Market Size 2024-2028

    The distance learning market size is forecast to increase by USD 149.23 billion at a CAGR of 9.65% between 2023 and 2028.

    The growing demand for distance learning, fueled by the continuous development of technology, is a key driver of the distance learning market. As technology improves, online education becomes more accessible, engaging, and effective, allowing students to learn remotely with ease. The integration of advanced tools such as video conferencing, AI-driven assessments, and interactive content is further enhancing the appeal of distance learning.
    In North America, the market is experiencing significant growth due to the integration of advanced technologies and shifting educational preferences. With a growing emphasis on flexible, personalized learning experiences, including self-paced e-learning, institutions are increasingly offering distance learning programs that cater to diverse student needs. This trend is expected to continue, contributing to the market's expansion in the region.
    

    What will be the Size of the Distance Learning Market During the Forecast Period?

    Request Free Sample

    The market is experiencing significant growth due to the increasing adoption of remote learning solutions among K-12 students and higher education students. Online assessments, video conferencing sessions, and virtual schools are becoming popular flexible education options for students who require flexibility in their learning schedules. Website-based mediums and application-based mediums, such as e-learning platforms, are increasingly being used to deliver educational programs. Internet access is essential for distance learning, making online learning platforms an indispensable tool for universities and colleges.
    

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.

    Type
    
      Traditional
      Online
    
    
    Method
    
      Synchronous distance learning
      Asynchronous distance learning
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        China
    
    
      Middle East and Africa
    
    
    
      South America
    

    By Type Insights

    The traditional segment is estimated to witness significant growth during the forecast period. The market encompasses various methods and technologies, including gamification, personalized learning pathways, educational environments, and remote learning techniques. Traditional distance learning, characterized by asynchronous online courses, pre-recorded lecture books, and minimal instructor interaction, remains a significant revenue contributor. This approach caters to a broad audience, particularly those with limited access to digital devices or high-internet connectivity. Academic institutions and the government sector continue to offer traditional distance learning programs, such as those provided by the Open University in the UK via mail. However, corporate blended learning, online education solutions, and personalized learning solutions are gaining popularity due to their interactive and technologically advanced nature.

    These methods include learning management systems, virtual classrooms, mobile e-learning platforms, and cloud-based e-Learning platforms. Moreover, the use of intranet connection, computers, tutorials, podcasts, recorded lectures, e-books, and machine learning technology enhances the learning experience. The market also serves academic users and corporate users through service providers and content providers. The increasing literacy rate, internet penetration, and the need for continuous skill upgrading further fuel the market's growth.

    Get a glance at the market share of various segments Request Free Sample

    The traditional segment accounted for USD 152.29 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Insights

    North America is estimated to contribute 34% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions Request Free Sample

    The market in North America is experiencing significant growth due to the integration of advanced technologies and shifting educational preferences. With the rise of gamification, personalized learning pathways, and educational environments, online education solutions have become increasingly popular. Academic institutions and the government sector are expanding their digital services, offering distance learning programs through Learning Management Systems and cloud-based e-Learning platforms. Remote learning methods, such as pre-recorded lectures, tutorials, podcas

  11. Cloud-based content management services Market For Higher Education Sector...

    • technavio.com
    pdf
    Updated Apr 30, 2024
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    Technavio (2024). Cloud-based content management services Market For Higher Education Sector Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Canada, China, Germany, UK - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/cloud-based-content-management-services-market-for-higher-education-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Apr 30, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    Canada, United Kingdom, United States
    Description

    Snapshot img

    Cloud-based content management services Market for higher education sector Size 2024-2028

    The cloud-based content management services market for higher education sector size is forecast to increase by USD 3.02 billion at a CAGR of 22.14% between 2023 and 2028.

    The cloud-based content management services market for the higher education sector is experiencing significant growth, driven by several key trends. One notable trend is the integration of artificial intelligence (AI) and machine learning (ML) technologies, which enhance the functionality and effectiveness of these services. Another trend is the emergence of gamification and interactive learning, which increase student engagement and improve learning outcomes. However, data security and privacy concerns remain a challenge for the adoption of cloud-based content management services in higher education. Institutions must ensure that their data is securely stored and accessed only by authorized personnel to mitigate potential risks. Overall, the market is expected to continue growing as institutions seek to provide their students with more efficient, effective, and engaging learning experiences.
    

    What will be the Size of the Cloud-based content management services Market for higher education sector During the Forecast Period?

    Request Free Sample

    The cloud-based content management services market for the higher education sector is experiencing significant growth as educational institutions increasingly adopt digital solutions to enhance the learning environment for students and staff. This market encompasses a range of offerings, including cloud management software for multi-cloud administration, advanced technology such as machine learning and artificial intelligence for content organization and workflow automation, and document storage solutions. Legacy Enterprise Content Management (ECM) solutions are being replaced with cloud-based alternatives, enabling easier access to academic content and administrative data from both online and offline environments. Video conferencing technologies are also integrated into these systems, facilitating remote learning and collaboration.
    Hybrid cloud solutions cater to the unique needs of higher education institutions, offering a balance between security and flexibility. Retail service providers are entering this market, offering scalable and cost-effective solutions for educational institutions. Overall, the higher education market's shift to cloud computing technology is driving the demand for centralized content management systems that can effectively manage the vast amounts of data generated in this sector.
    

    How is this Cloud-based content management services for higher education sector Industry segmented and which is the largest segment?

    The market report provides comprehensive data (region-wise segment analysis), with Market forecasting and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Solution
    
      Content management systems
      Web content management systems
    
    
    Type
    
      Hybrid cloud
      Private cloud
      Public cloud
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        China
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Solution Insights

    The content management systems segment is estimated to witness significant growth during the market forecast period.
    

    Higher education institutions produce an extensive volume of digital content, consisting of academic materials, research documents, multimedia resources, and administrative data. Cloud-based Content Management Systems (CMS) facilitate the organization and centralization of this content, enhancing accessibility and manageability for students, faculty, and staff. CMS platforms offer collaborative learning environments through features such as document sharing, version control, discussion forums, and group workspaces, fostering interactive experiences and peer-to-peer collaboration in traditional and online courses. Furthermore, these systems enable personalized learning by delivering customized content and resources based on students' learning styles, progress, and performance. Advanced technologies like Multi-Cloud Administration, Machine Learning, and Hybrid Clouds contribute to the effectiveness of CMS platforms In the higher education market. CMS platforms also ensure data security, compliance checks, and scalability, making them an essential component of the higher education environment.

    Get a glance at the Cloud-based content management services for higher education sector Industry report of share of various segments Request Free Sample

    The content management systems segment was valued at USD 417.65 million in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 42%
    
  12. Data from: A flexible model to reconstruct education-specific fertility...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Aug 11, 2023
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    Dilek Yildiz; Dilek Yildiz; Arkadiusz Wiśniowski; Arkadiusz Wiśniowski; Zuzanna Brzozowska; Zuzanna Brzozowska; Afua Durowaa-Boateng; Afua Durowaa-Boateng (2023). A flexible model to reconstruct education-specific fertility rates: Sub-saharan Africa case study [Dataset]. http://doi.org/10.5281/zenodo.6645336
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    Dataset updated
    Aug 11, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Dilek Yildiz; Dilek Yildiz; Arkadiusz Wiśniowski; Arkadiusz Wiśniowski; Zuzanna Brzozowska; Zuzanna Brzozowska; Afua Durowaa-Boateng; Afua Durowaa-Boateng
    Area covered
    Sub-Saharan Africa, Africa
    Description

    A flexible model to reconstruct education-specific fertility rates: Sub-saharan Africa case study

    The fertility rates are consistent with the United Nation World Population Prospects (UN WPP) 2022 fertility rates.

    The Bayesian model developed to reconstruct the fertility rates using Demographic and Health Surveys and the UN WPP is published in a working paper.

    Abstract

    The future world population growth and size will be largely determined by the pace of fertility decline in sub-Saharan Africa. Correct estimates of education-specific fertility rates are crucial for projecting the future population. Yet, consistent cross-country comparable estimates of education-specific fertility for sub-Saharan African countries are still lacking. We propose a flexible Bayesian hierarchical model to reconstruct education-specific fertility rates by using the patchy Demographic and Health Surveys (DHS) data and the United Nations’ (UN) reliable estimates of total fertility rates (TFR). Our model produces estimates that match the UN TFR to different extents (in other words, estimates of varying levels of consistency with the UN). We present three model specifications: consistent but not identical with the UN, fully-consistent (nearly identical) with the UN, and consistent with the DHS. Further, we provide a full time series of education-specific TFR estimates covering five-year periods between 1980 and 2014 for 36 sub-Saharan African countries. The results show that the DHS-consistent estimates are usually higher than the UN-fully-consistent ones. The differences between the three model estimates vary substantially in size across countries, yielding 1980-2014 fertility trends that differ from each other mostly in level only but in some cases also in direction.

    Funding

    The data set are part of the BayesEdu Project at Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna) funded from the “Innovation Fund Research, Science and Society” by the Austrian Academy of Sciences (ÖAW).

    We provide education-specific total fertility rates (ESTFR) from three model specifications: (1) estimated TFR consistent but not identical with the TFR estimated by the UN (“Main model (UN-consistent)”; (2) estimated TFR fully consistent (nearly identical) with the TFR estimated by the UN ( “UN-fully -consistent”, and (3) estimated TFR consistent only with the TFR estimated by the DHS ( “DHS-consistent”).

    For education- and age-specific fertility rates that are UN-fully consistent, please see https://doi.org/10.5281/zenodo.8182960

    Variables

    Country: Country names

    Education: Four education levels, No Education, Primary Education, Secondary Education and Higher Education.

    Year: Five-year periods between 1980 and 2015.

    ESTFR: Median education-specific total fertility rate estimate

    sd: Standard deviation

    Upp50: 50% Upper Credible Interval

    Lwr50: 50% Lower Credible Interval

    Upp80: 80% Upper Credible Interval

    Lwr80: 80% Lower Credible Interval

    Model: Three model specifications as explained above and in the working paper. DHS-consistent, Main model (UN-consistent) and UN-fully consistent.

    List of countries:

    Angola, Benin, Burkina Faso, Burundi, Cote D'Ivoire, Cameroon, Central African Republic, Chad, Comoros, Congo, Democratic Republic of Congo, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mozambique, Namibia, Niger, Nigeria, Rwanda, Senegal, Sierra Leone, South Africa, Tanzania, Togo, Uganda, Zambia, Zimbabwe

  13. Registered voters considering emigration from South Africa 2022, by...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Registered voters considering emigration from South Africa 2022, by education [Dataset]. https://www.statista.com/statistics/1407558/share-of-registered-voters-considering-emigration-from-south-africa-by-education-level/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2022
    Area covered
    South Africa
    Description

    As of 2022, around ** percent of registered voters who attained an education level of university and higher, were considering emigrating from South Africa. Among those respondents who had no schooling, 100 percent stated that they did not consider emigrating.

  14. Online Photography Education in Higher Education Market Analysis North...

    • technavio.com
    pdf
    Updated Jan 2, 2024
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    Technavio (2024). Online Photography Education in Higher Education Market Analysis North America, APAC, Europe, South America, Middle East and Africa - US, Canada, China, Germany, France - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/online-photography-education-market-in-higher-education-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 2, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    United States
    Description

    Snapshot img

    Online Photography Education in Higher Education Market Size 2024-2028

    The online photography education in higher education market size is forecast to increase by USD 846.06 million at a CAGR of 7.87% between 2023 and 2028.

    The growing advantages of e-learning, such as flexibility, accessibility, and affordability, are the key drivers of the online photography education market in higher education. As more students seek flexible, remote learning opportunities, online platforms offer an ideal solution for learning photography skills at their own pace, with access to a wide range of courses and expert instructors.
    In North America, higher education institutions are increasingly embracing digital platforms to deliver photography education. These platforms cater to both enthusiasts looking to explore photography as a hobby and professionals seeking to enhance their skills. The widespread adoption of online learning tools is helping to meet the growing demand for flexible and diverse photography education options in the region.
    

    What will be the Size of the Online Photography Education in Higher Education Market During the Forecast Period?

    Request Free Sample

    The online photography education market has experienced significant growth in recent years, driven by the widespread availability of digital platforms and resources for enthusiasts and professionals alike. This market encompasses a range of offerings, from basic photography skills instruction to advanced techniques in editing and software use. Digital education in photography has become increasingly accessible through internet-enabled devices, education apps, and social networking platforms. 
    

    How is this Online Photography Education in Higher Education Industry segmented and which is the largest segment?

    The online photography education in higher education industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Type
    
      Degree
      Non-degree
    
    
    End-user
    
      Academic institutions
      Individual learners
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      APAC
    
        China
    
    
      Europe
    
        Germany
        France
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Type Insights

    The degree segment is estimated to witness significant growth during the forecast period.
    

    Online photography education in higher education encompasses certificate and degree programs offered at accredited institutions. Students can pursue Bachelor of Arts (BA), Bachelor of Fine Arts (BFA), or Bachelor of Science Photography degrees. These programs teach students essential photography skills, including camera operations, lighting techniques, and Adobe Photoshop editing. Students learn to capture images, apply digital filters, and store photographs on laptops. Advanced courses cover niche photography skills, business practices, and industry trends. Online learning platforms provide hands-on experience, community building, and access to social media platforms for networking.

    Despite skepticism regarding the efficacy of online education, the convenience and affordability of these programs have made them increasingly popular. Key areas of photography, such as sports, events, and digital media, are explored, along with post-production technologies and software use. Internet connectivity and smartphone penetration have expanded opportunities for photography enthusiasts and professionals alike.

    Get a glance at the Online Photography Education in Higher Education Industry report of share of various segments. Request Free Sample

    The degree segment was valued at USD 1.03 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 38% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    Higher education institutions in North America are embracing digital platforms to deliver photography education, catering to both enthusiasts and professionals. With the proliferation of Internet connectivity and the widespread use of digital devices, students can access a wealth of resources for learning basic photography skills and advanced techniques, including editing software use and business practices. Online learning platforms offer hands-on experience through interactive tools such as smart education and virtual classrooms, addressing skepticism regarding the efficacy of digital education. Niche photography areas, such as sports, events, and church directories, can be explored through digital media, blogging, networking, and photo sharing. The phot

  15. T

    South Africa - School Enrollment, Tertiary, Female (% Gross)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). South Africa - School Enrollment, Tertiary, Female (% Gross) [Dataset]. https://tradingeconomics.com/south-africa/school-enrollment-tertiary-female-percent-gross-wb-data.html
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    School enrollment, tertiary, female (% gross) in South Africa was reported at 34.23 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - School enrollment, tertiary, female (% gross) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  16. Distribution of educational attainment for adults in South Africa 2015-2022

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Distribution of educational attainment for adults in South Africa 2015-2022 [Dataset]. https://www.statista.com/statistics/1115589/distribution-of-educational-attainment-in-south-africa/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    Between the years 2015 to 2022, the percentage rate of individuals aged 20 years and older in South Africa who have attained 12th grade has generally been increasing from 28.3 percent to 34.6 percent. Individuals without any school education at all have decreased from five percent to 3.3 percent within the given time period.

  17. w

    Survey data on student access to online learning resources at Wits...

    • opendata.wits.ac.za
    xlsx
    Updated Jul 7, 2025
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    Mohammed Dangor; Martin Bekker; Estelle Trengove (2025). Survey data on student access to online learning resources at Wits University, 2022, during the COVID_19 lockdown [Dataset]. http://doi.org/10.71796/wits-figshare.29478383.v1
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    xlsxAvailable download formats
    Dataset updated
    Jul 7, 2025
    Dataset provided by
    University of the Witwatersrand, Johannesburg
    Authors
    Mohammed Dangor; Martin Bekker; Estelle Trengove
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains cleaned and anonymised responses from a university-wide survey on student access to online learning resources, conducted at the University of the Witwatersrand (Wits), Johannesburg, South Africa. The purpose of the data collection was to inform a multidimensional analysis of online learning poverty—a term coined in the associated PhD research to capture the layered nature of resource deprivation that inhibits effective participation in online education.The survey was administered online between 10 June and 13 July 2022, during a period of transition out of emergency remote teaching. It targeted all students across all five faculties at Wits. A total of 1,016 valid responses were collected.The dataset includes six binary deprivation indicators:Internet access (whether the student relied on the university’s mobile data provision),Access to a computer (ownership or reliance on loaned devices),Smartphone ownership,Access to grid electricity at the student's primary place of residence,Access to backup electricity (e.g., battery, inverter, generator),Access to a quiet workspace suitable for online learning.Each deprivation indicator is coded as binary (1 = deprived, 0 = not deprived) and reflects the student’s living conditions at the time of the survey. These variables were designed to align with the requirements for constructing a multidimensional poverty index using the Alkire-Foster method, which aggregates deprivations across dimensions using a dual cutoff approach. Descriptive statistics and indicator weights are discussed in the associated thesis and related publications.The dataset also includes three demographic variables: gender, race, and faculty affiliation. All responses have been anonymised, with no personally identifiable information retained. Faculty affiliations are coded using standard abbreviations used in Wits official reporting:EBE = Engineering and the Built EnvironmentCLM = Commerce, Law and ManagementHS = Health SciencesHU = HumanitiesSCI = ScienceEthical clearance was granted by the University of the Witwatersrand Human Research Ethics Committee (Non-Medical), under clearance number H20/06/08, on 19 June 2020. All respondents provided informed consent prior to participation.The file is formatted as an .xlsx workbook with three sheets:Sheet 1: MetadataSheet 2: Cleaned DatasetSheet 3: Anonymised Raw Survey Responses – contains the unprocessed responses to the original survey questions prior to indicator coding. This allows other researchers to recode or interpret the data according to alternative frameworks.This dataset is suitable for reuse in research on development economics, education policy, digital inequality, and multidimensional poverty measurement, particularly in higher education contexts. It supports reproducibility of the Online Learning Poverty Index (OLPI) and allows for further disaggregation or subgroup analysis.

  18. Data from: Education- and age-specific fertility rates for 50 African and...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Aug 10, 2023
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    Afua Durowaa-Boateng; Dilek Yildiz; Dilek Yildiz; Anne Goujon; Afua Durowaa-Boateng; Anne Goujon (2023). Education- and age-specific fertility rates for 50 African and Latin American countries between 1970 and 2020 [Dataset]. http://doi.org/10.5281/zenodo.8182960
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    Dataset updated
    Aug 10, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Afua Durowaa-Boateng; Dilek Yildiz; Dilek Yildiz; Anne Goujon; Afua Durowaa-Boateng; Anne Goujon
    Area covered
    Africa, Latin America
    Description

    Education- and age-specific fertility rates for 50 African and Latin American countries between 1970 and 2020.

    The fertility rates are consistent with the United Nation's World Population Prospects (UN WPP) 2022 fertility rates.

    The Bayesian model developed to reconstruct the fertility rates using Demographic and Health Surveys and the UN WPP is published in a working paper.

    Abstract:

    Consistent and reliable time series of education- and age-specific fertility rates for the past are difficult to obtain in developing countries, although they are needed to evaluate the impact of women’s education on fertility along periods and cohorts. In this paper, we propose a Bayesian framework to reconstruct age-specific fertility rates by level of education using prior information from the birth history module of the Demographic and Health Surveys (DHS) and the UN World Population Prospects. In our case study regions, we reconstruct age- and education-specific fertility rates which are consistent with the UN age specific fertility rates by four levels of education for 50 African and Latin American countries from 1970 to 2020 in five-year steps. Our results show that the Bayesian approach allows for estimating reliable education- and age-specific fertility rates using multiple rounds of the DHS surveys. The time series obtained confirm the main findings of the literature on fertility trends, and age and education specific differentials.

    Funding:

    These data sets are part of the BayesEdu Project at Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna) funded from the “Innovation Fund Research, Science and Society” by the Austrian Academy of Sciences (ÖAW).

    Variables:

    Country: Country names

    Education: Four education levels, No Education, Primary Education, Secondary Education and Higher Education.

    Age group: Five-year age groups between 15-19 and 45-49.

    Year: Five-year periods between 1970 and 2020.

    Median: Median education and age-specific fertility rate estimate

    Upper_CI: 95% Upper Credible Interval

    Lower_CI: 95% Lower Credible Interval

    List of countries:

    Angola

    Benin

    Brazil

    Burkina Faso

    Burundi

    Cameroon

    Central African Republic

    Chad

    Colombia

    Comoros

    Congo

    Côte D'Ivoire

    DR Congo

    Ecuador

    Egypt

    Eswatini

    Ethiopia

    Gabon

    Gambia

    Ghana

    Guatemala

    Guinea

    Honduras

    Kenya

    Lesotho

    Liberia

    Madagascar

    Malawi

    Mali

    Mexico

    Morocco

    Mozambique

    Namibia

    Nicaragua

    Niger

    Nigeria

    Paraguay

    Peru

    Rwanda

    Sao Tome and Principe

    Senegal

    Sierra Leone

    South Africa

    Sudan

    Tanzania

    Togo

    Tunisia

    Uganda

    Zambia

    Zimbabwe

  19. T

    South Africa - Ratio Of Female To Male Tertiary Enrollment

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 30, 2013
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    TRADING ECONOMICS (2013). South Africa - Ratio Of Female To Male Tertiary Enrollment [Dataset]. https://tradingeconomics.com/south-africa/ratio-of-female-to-male-tertiary-enrollment-percent-wb-data.html
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Sep 30, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    School enrollment, tertiary (gross), gender parity index (GPI) in South Africa was reported at 1.4059 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Ratio of female to male tertiary enrollment - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  20. Number of learners in South Africa 2022, by gender

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Number of learners in South Africa 2022, by gender [Dataset]. https://www.statista.com/statistics/1330047/number-of-students-in-south-africa-by-gender/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    The total number of students in South Africa amounted to around **** million in 2022. There were more male enrollees in the schools than female ones, reaching approximately **** million and **** million students, respectively. Moreover, most of the learners were receiving education via public schooling with a share of around ** percent.

Share
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Close
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Statista (2025). Gross tertiary enrollment ratio in South Africa 1970-2022 [Dataset]. https://www.statista.com/statistics/1261626/south-africa-gross-tertiary-school-enrollment-ratio/
Organization logo

Gross tertiary enrollment ratio in South Africa 1970-2022

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 22, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
South Africa
Description

The gross tertiary enrollment ratio in South Africa amounted to ***** percent in 2022. Between 1970 and 2022, the gross tertiary enrollment ratio rose by ***** percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

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