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Odds ratios of being digitally excluded by various characteristics in January to March 2020, using data from the Labour Force Survey with geographical coverage of the UK.
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This study challenges the current ‘utopian’ discourse in digital inclusion rhetoric by providing insights into the complexity of digital inclusion initiative provision as a multilevel phenomenon, against a backdrop of digitalisation and digital-by-default policy. The aim of this study is to investigate digital inclusion initiative provision in the context of UK rural communities. Underpinned by the philosophy of critical realism, the study employs an exploratory qualitative case study that provides a critical discussion of digital inclusion initiative provision and a granular analysis of the dynamics, processes, experiences, and behaviours of those involved in the phenomenon. More specifically the study explores digital inclusion initiative provision from a multilevel perspective, from digital inclusion stakeholders that operate nationally across the UK; intermediaries delivering digital inclusion training and support in three specific rural regions of the UK with populations at increased risk of digital exclusion; and individuals who have received digital inclusion support within those three specific rural locations. Data collection involved semi-structured interviews, focus groups, observations, complemented by a brief document review. Activity Theory was utilised as an analytical framework to provide guidance from data collection through to empirical data analysis to help investigate digital inclusion initiative provision as a multilevel phenomenon. Key findings reveal digital inclusion initiative provision is a complicated process that is fraught with challenges and contradictions, that hamper the realisation of the digital inclusion agenda. Digital inclusion training and support is provided to individuals from ‘all walks of life’, not just the digitally excluded, and not everyone has beneficial outcomes. Importantly, the study reveals the bridging role of human intermediation, and the need for rural communities to be considered in UK government digital policy. Contributions of this study include new insights into the understanding digital inclusion initiative provision and the inherent challenges in that process, the usefulness of Activity Theory to help unravel the complexity of digital inclusion initiatives as a multilevel phenomenon; and recommendations for change in the provision of digital inclusion initiatives that have implications for policy and practice.
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TwitterBarnet, Brent, Kensington and Chelsea, Southwark and Westminster have come together with LOTI and the GLA to map digital exclusion across London.
The project has created a number of deliverables:
A new story map has been developed to help organisations identify areas where services to help older people access digital services might be most needed.
https://cdn.datapress.cloud/london/img/dataset/08fa1d51-b389-498e-b522-e31e1fa109d3/2025-06-21T09%3A57%3A32/unnamed.png" alt="unnamed.png" />
For organisations that have their own GIS (Geographic Information System), we've also shared the cleaned data used in the Story Map.
With thanks to Helen at MapItOut.
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BackgroundThe covid-19 pandemic has accelerated the use of digital tools within health and social care services. However, for a range of different reasons, across the UK there continue to be people who are digitally excluded. People living with a disability have been identified as being more likely to be digitally excluded and many of these people, including people with severe mental illness (SMI) already experience health inequalities. Therefore, understanding the perceived impact digital exclusion has on health and potential facilitators of increased inclusion is an important area for research. This study had two aims: 1. To understand experiences of digital exclusion and the impact on health in people with SMI. 2. To explore the influences and mechanisms which would increase engagement with digital health tools.MethodsThis was an observational qualitative study, conducting focus groups (with the option of a 1:1 interview for those uncomfortable in groups) with nine people with severe mental illness.ResultsParticipant’s responses were themed in to four key areas in relation to digital exclusion and impact on health: 1. Reduced social connectedness, 2. The impact on wider determinants of health 3. Negative perception of self, 4. Disempowerment. Key facilitators for increased engagement with digital tools included, local digital skills support with mental health lived experience involvement in the delivery, digitally engaged social referents, access to digital tools and data, personalised and straightforward digital tools. In addition, increasing health and social care staff’s awareness of digital exclusion was also viewed as important in promoting inclusion.ConclusionThe research findings suggest that digital inclusion should be viewed as a wider determinant of health. Many of the identified consequences of exclusion are particularly important in relation to mental health and mental health recovery. This research suggests that identifying and addressing digital exclusion should be viewed as a priority for mental health services.
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TwitterThis knowledge exchange project is a collaborative intervention in the area of digital inclusion. The project will support Sheffield City Council and Sheffield Homes in addressing a pressing policy need to increase digital engagement among social housing tenants. Providers of social and community services currently face major constraints. Digital technology solutions, such as online payments, have been proposed as routes to major cost savings. Users of social and community services include the bulk of citizens who are currently digitally excluded. Moving services online may further disadvantage these groups. Lack of uptake of digital services by these communities may limit the benefits of digital services. This project will apply knowledge gained from previously funded RC and community projects. The SHU team has a strong knowledge base in the issues of digital exclusion, digital engagement and community collaboration. The collaboration will focus on case studies in target social housing areas with the following stages:
a survey and review of the current levels of digital exclusion; analysis of the data to determine which available strategies might have greatest impact; implementation of one or more interventions; action research based review of the interventions; report to partners on the effectiveness of interventions and community impacts.
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TwitterThis statistic shows the share of digital tech investments in regional clusters in the United Kingdom (UK) excluding London, from 2012 till 2016. ** percent of the total UK digital tech investments were in regions beyond London in 2016.
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A table to download the data will be made available on: http://research.mlabs.org.uk/blog/data-poverty/ .
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IntroductionThis paper aims to theoretically and empirically investigate the concept of digital capital in the Italian context. Digital Capital can be conceived as independent individual capital whose lack within a population can be a cause of digital inequality. Our paper draws from recent works that have measured the Digital Capital as a combination of digital access and digital competences, and have tested this operational definition through an online survey on a UK sample. The results of such research proved the construct validity of the operational definition, thus showing that Digital Capital could be empirically measured. However, a measurement model needs to be tested and validated over time and in different socio-cultural contexts in order to be refined and strengthened, and eventually disseminated on a large scale.MethodThis is the reason why this paper will show the results of a funded research project (named DigiCapItaly) carried out to test the validity of the Digital Capital measure in a different country, i.e., Italy. The data were collected with an online survey using a representative sample (by age, gender and geographical area) of individuals living in Italy aged 18 years or more. The creation of a composite index to measure Digital Capital followed a two-stage Principal Component Analysis approach.ResultsFirst, the paper provides a methodological framework for facing challenges and pitfalls in operationalizing and assessing a complex concept in social research. Secondly, results show that Digital Capital operational definition works in Italy as well as in the UK, thus legitimizing its recognition as an independent capital.
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TwitterFollowing the outbreak of the Covid-19 pandemic, London's adult education sector saw a shift in its approach to teaching and learning, requiring a swift pivot to online delivery methods. In response, the Mayor launched a £9m Skills for Londoners Covid-19 Response Fund. This initiative aimed to bolster the capabilities of adult education providers, ensuring not only the continuation of skills development among Londoners but also addressing the challenge of digital exclusion. To gain a better understanding of the post-pandemic landscape, the Greater London Authority (GLA) commissioned Learning and Work Institute (L&W) to carry out mixed-methods research into the experience of learners in adult education and the quality of adult education provision in London. This report provides an understanding of the impact of the increased use of remote learning following shift to online delivery during the pandemic. This research explored recent trends in remote learning, learner and provider experiences and how policy and best practice can enhance remote learning in the city.
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TwitterFor DCMS sector data, please see: Economic Estimates: Employment and APS earnings in DCMS sectors, January 2023 to December 2023
For Digital sector data, please see: Economic Estimates: Employment in DCMS sectors and Digital sector, January 2022 to December 2022
In the 2021 calendar year, there were approximately 4,270,000 filled jobs in DCMS Sectors (excluding Tourism), 12.9% of the UK total, and a 3.1% increase compared to the preceding 12 months.
Growth in total DCMS sector filled jobs was primarily driven by the Creative Industries and Digital sectors, which increased by 113,000 (5.1%) and 108,000 (6.3%) filled jobs respectively. This was partially offset by decreases in the Civil Society and Sport sectors (4,000, 0.5% and 5,000, 0.9% respectively).
Although there is wide variation between sectors in terms of demographic breakdowns, overall the proportion of filled jobs held by women was lower in the DCMS Sectors (excluding Tourism) (44.5%) than the UK overall (48.1%). DCMS Sectors (excluding Tourism) have a similar share of jobs filled by people from ethnic minority groups (excluding white minorities) or by people with disabilities compared to the UK workforce overall.
According to earnings estimates in the 2021 calendar year, within the DCMS Sectors (excluding Tourism) median hourly gross pay was greater than the UK overall, at £15.68 compared to £13.51. Of the individual sectors, only Gambling and Sport had lower pay than the UK average, while the Creative Industries and Digital sector had the highest median pay.
Within the DCMS Sectors (excluding Tourism), the difference in pay between men and women is estimated to exceed the UK overall (DCMS 23.9%, UK 15.1%), while the disability pay gap was similar (14.7%, 14.6%) and there was great variation in pay by ethnic group.
On Friday 4th November, we removed the following estimates of employment and earnings:
This is because ONS have identified an https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/theimpactofmiscodingofoccupationaldatainofficefornationalstatisticssocialsurveysuk/2022-09-26" class="govuk-link">issue with the way their underlying survey data has been assigned to the refreshed SOC2020 codes that were used to calculate these estimates in this publication. ONS expect to resolve the issue by Spring 2023. No other data in this release is affected.
The employment (number of filled jobs) estimates series is a National Statistic under the Code of Practice for Statistics. It is calculated based on the Office for National Statistics (ONS) Annual Population Survey (APS).
The earnings estimates series is an Experimental Statistic. It is also calculated based on the ONS Annual Population Survey (APS) and was first published in the DCMS Sector National Economics: 2011 to 2020 to provide estimates of earnings with different demographic breakdowns. For headline estimates of earnings, DCMS also publishes estimates using the Annual Survey of Hours and Earnings (ASHE), which are seen as more robust for that purpose.
Additionally, DCMS has published estimates of the Civil Society sector, broken down by Local Authority. This uses pooled data spanning the period 2018 to 2021 to boost sample sizes. It was developed as an “ad hoc” release based on user request and can be found in our ad hoc statistical release page.
In 2020, the ONS conducted a review of the Standard Occupational Classification (SOC) codes to update and revise the classification of occupations to reflect changes within the economy since the previous ‘refresh’, around 2010. As the Creative Industries is defined using the occupation codes which have been determined
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Innovation Labs in cultural heritage institutions emerged in the last years as specialized units which help researchers, artists, entrepreneurs, educators, innovators and any interested citizens and communities to use digital collections in innovative ways. These labs answer two major needs, helping discovery in vast digital collections, and applying new analytic/visualization tools by a wider user base, a process which stirs creative use and reuse of collections and innovation.Most active innovation labs are located in Europe and North America.This dataset was compiled using published reports on innovation labs and internet sources from the public domain between May 2019 and July 2019 by Fidelity Phiri, a visiting researcher at UCL Qatar for projects coordinated by Dr Milena Dobreva. The dataset helps to understand the cultural heritage innovation labs landscape in Africa. While at the time of publishing (20 August 2020) there are no active innovation labs in cultural heritage institutions, one library (Bibliotheca Alexandrina, Egypt) and one museum (Livingstone museum, Zambia) are planning to open such labs. Within this specific setting, the research on Africa aimed to identify stakeholders which can support the setting of innovation labs in cultural heritage institutions. Innovation centres, business incubators and fablabs can play such a role. The rationale for including these institutions is that they could be instrumental for setting up cultural heritage labs on a continent where more work is needed to overcome the digital divide.This map illustrates the dataset. https://www.mapcustomizer.com/map/Innovation labs in Africa
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UK, India, and Mexico EdTech Market size was valued at USD 23,669.18 Million in 2024 and is projected to reach USD 83,500.42 Million by 2031, growing at a CAGR of 17.45% from 2024 to 2031.
UK, India, and Mexico EdTech Market Drivers
Rising Education Expenditure: Governments in these countries are investing more in education, leading to increased spending on EdTech solutions [1, 2, 3]. Growing Internet Penetration: The widespread availability and affordability of internet access are enabling online learning and digital education resources [2, 4]. Demand for Personalized Learning: EdTech solutions offer personalized learning experiences tailored to individual student needs, improving learning outcomes [3, 5].
UK, India, and Mexico EdTech Market Restraints
Digital Divide: Unequal access to technology and the internet can limit the reach of EdTech solutions, particularly in rural areas [1, 3]. Teacher Training and Adoption: Ensuring teachers are equipped with the skills to effectively use EdTech tools can be a challenge [2, 4].
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IntroductionThis paper aims to theoretically and empirically investigate the concept of digital capital in the Italian context. Digital Capital can be conceived as independent individual capital whose lack within a population can be a cause of digital inequality. Our paper draws from recent works that have measured the Digital Capital as a combination of digital access and digital competences, and have tested this operational definition through an online survey on a UK sample. The results of such research proved the construct validity of the operational definition, thus showing that Digital Capital could be empirically measured. However, a measurement model needs to be tested and validated over time and in different socio-cultural contexts in order to be refined and strengthened, and eventually disseminated on a large scale.MethodThis is the reason why this paper will show the results of a funded research project (named DigiCapItaly) carried out to test the validity of the Digital Capital measure in a different country, i.e., Italy. The data were collected with an online survey using a representative sample (by age, gender and geographical area) of individuals living in Italy aged 18 years or more. The creation of a composite index to measure Digital Capital followed a two-stage Principal Component Analysis approach.ResultsFirst, the paper provides a methodological framework for facing challenges and pitfalls in operationalizing and assessing a complex concept in social research. Secondly, results show that Digital Capital operational definition works in Italy as well as in the UK, thus legitimizing its recognition as an independent capital.
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Satellite Internet Market Size 2025-2029
The satellite internet market size is forecast to increase by USD 7.61 billion at a CAGR of 19.7% between 2024 and 2029.
The market is experiencing significant growth driven by the increasing number of Internet of Things (IoT) devices and the ongoing deployment of 5G networks. The proliferation of IoT devices is expanding the scope of connectivity beyond traditional terrestrial networks, creating a demand for satellite internet solutions in remote and hard-to-reach areas. Furthermore, the integration of satellite internet with 5G networks is enabling seamless connectivity and enhancing the overall performance of these systems. However, the market is not without challenges. Weather conditions, particularly heavy rain and snow, can significantly impact satellite signal quality and disrupt service. To mitigate this issue, companies are investing in advanced technologies such as adaptive modulation and error correction to improve satellite internet reliability in adverse weather conditions. These investments, along with ongoing technological advancements, present opportunities for companies to capitalize on the growing demand for satellite internet and navigate the challenges effectively. Companies seeking to capitalize on these opportunities should focus on developing and reliable satellite internet solutions, while also addressing the impact of weather conditions on their services.
What will be the Size of the Satellite Internet Market during the forecast period?
Request Free SampleThe market encompasses the provision of high-speed connection networks through geostationary satellites, addressing the global connectivity needs of various industries and communities. This market continues to expand, driven by the digital divide and the growing demand for reliable communication capabilities in remote and underserved areas. With increasing bandwidth capabilities, satellite internet is becoming a viable alternative for businesses and individuals in regions with infrastructure challenges. The market is witnessing significant activity, with satellite operators investing in network management systems and international coordination to enhance service delivery. The satellite communication industry is also responding to the evolving needs of sectors such as education, healthcare, economic development, and social inclusion. Despite these advancements, challenges persist, including the impact of natural disasters on satellite infrastructure and the ongoing efforts to improve affordability and accessibility. Overall, the market is poised for continued growth, offering valuable solutions for enhancing global communication and connectivity.
How is this Satellite Internet Industry segmented?
The satellite internet industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeK-bandX-bandL-bandC-bandEnd-userCommercialNon-commercialGeographyNorth AmericaUSCanadaEuropeFranceGermanyRussiaUKAPACChinaIndiaJapanSouth AmericaBrazilMiddle East and Africa
By Type Insights
The k-band segment is estimated to witness significant growth during the forecast period.The K-band segment leads The market due to its extensive usage in defense, broadcasting, and security applications. The adoption of K-band monolithic microwave integrated circuit (MMIC) technology, which facilitates the production of low-noise amplifiers and K-band power amplifiers at a large scale, with cost efficiency and high durability, is fueling market growth. K-band frequency is primarily utilized for wireless broadband access in remote locations, including local-multipoint distribution systems (LMDS), fixed satellites, and digital point-to-point radio services. This technology addresses the connectivity needs of underserved regions and contributes to bridging the digital divide. The advancements in satellite technology, such as high-capacity satellite constellations and bandwidth capabilities, further boost the market's expansion. Satellite infrastructure plays a crucial role in disaster management, emergency response scenarios, and the delivery of digital services like healthcare and education in remote areas. Ensuring seamless connectivity, high-speed network connectivity, and coverage range are essential factors driving the demand for satellite internet. Additionally, satellite telecommunications providers are continually enhancing their network management systems, international coordination, and service offerings to cater to the evolving needs of businesses and communities.
Get a glance at the market report of share of various segments Request Free Sample
The K-band segment was valued at USD 919.00 billion in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America
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Higher Education Market Size 2025-2029
The higher education market size is forecast to increase by USD 117.9 billion, at a CAGR of 18.9% between 2024 and 2029.
The market is experiencing significant shifts driven by advances in educational content delivery methods and the increasing prioritization of AI technology-integrated course offerings. This transformation is fueled by the growing expectation for flexible and accessible learning solutions, as well as the need to accommodate the rising cost of higher education. Institutions are increasingly adopting digital platforms and tools to enhance teaching and learning experiences, enabling students to access course materials and engage with instructors from anywhere, at any time. However, this transition poses challenges, such as ensuring data security and privacy, addressing the digital divide, and maintaining academic rigor in a technology-driven environment.
The market continues to evolve, with dynamic market activities unfolding across various sectors. Student support services, such as continuing education and financial aid, remain crucial in ensuring student success. Curriculum development and research collaboration are key areas of focus for higher education institutions, driving the need for instructor training and campus infrastructure improvements. Digital literacy and educational technology are increasingly integrated into degree programs, from bachelor's degrees to doctoral degrees, with online courses and blended learning becoming more prevalent. Digital archives and online libraries provide essential resources for students and faculty, while research funding and tuition fees shape the financial landscape.
Cybersecurity incidents in education rose by 44% year-over-year in 2023, making data security and privacy critical concerns. Additionally, an estimated 34% of students in low-income or rural areas still lack reliable internet access, highlighting the persistent digital divide. To capitalize on these opportunities and navigate these challenges effectively, higher education institutions must remain agile and innovative, continuously adapting to the evolving needs of students and the market.
Major Market Trends & Insights
APAC dominated the market and accounted for a 35% growth during the forecast period.
The market is expected to grow significantly in North America as well over the forecast period.
By the Learning Method, the Online sub-segment was valued at USD 33.59 billion in 2023
By the End-user, the Private colleges sub-segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 294.62 billion
Future Opportunities: USD 117.9 billion
CAGR : 18.9%
APAC: Largest market in 2023
What will be the Size of the Higher Education Market during the forecast period?
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The higher education market is experiencing rapid transformation, driven by the adoption of digital learning platforms, smart classroom technologies, and cloud-based education management systems. Institutions are increasingly implementing data analytics dashboards and AI-driven learning management systems to personalize student experiences and improve operational efficiency. The growing integration of automation features, predictive analytics, and compliance management tools aligns closely with the EdTech Solutions Market and smart campus market, ensuring streamlined academic processes and resource optimization.
Modern campuses are leveraging building automation and IoT in Education Market to enhance sustainability, energy efficiency, and student safety. Furthermore, virtual learning environments, VR-based simulations, and adaptive assessment tools are reshaping how institutions deliver education, enabling flexibility and scalability. Internal linking opportunities exist with markets like learning management systems, Cloud-Based Property Solutions Market, and Facility Management Software Market, which share synergies in infrastructure optimization and digital administration.
Recent analysis suggests that over 72% of higher education institutions plan to expand technology budgets for e-learning platforms by 2029, reflecting a strong focus on automation, data-driven decision-making, and student-centric solutions for competitive advantage.
Retention rates and graduation rates are essential metrics, with career services and alumni relations playing a crucial role in student engagement and post-graduation success. As of 2023, the average first-year retention rate in U.S. colleges was around 76%, while the six-year graduation rate stood at approximately 64%, highlighting the ongoing need for stronger student engagement and support systems. Personalized learning, gamified learning, and adaptiv
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TwitterThis statistic presents the usage of MP3 /MP4 digital music/digital video players (excluding mobile phones) in Great Britain from 2013 to 2017, by product feature. In 2017, an estimated *** million people used the radio feature.
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Odds ratios of being digitally excluded by various characteristics in January to March 2020, using data from the Labour Force Survey with geographical coverage of the UK.