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