This data is purely random and created for learning purpose.

In situations where data is not readily available but needed, you'll have to resort to building up the data yourself. There are many methods you can use to acquire this data from web scraping to APIs. But sometimes, you'll end up needing to create fake or “dummy” data. Dummy data can be useful in times where you know the exact features you’ll be using and the data types included but, you just don’t have the data itself.

Features Description

• ID — a unique string of characters to identify each user.
• Gender — string data type of three choices.
• Subscriber — a binary True/False choice of their subscription status.
• Name — string data type of the first and last name of the user.
• Email —string data type of the email address of the user.
• Last Login — string data type of the last login time.
• Date of Birth — string format of year-month-day.
• Education — current education level as a string data type.
• Bio — short string descriptions of random words.
• Rating — integer type of a 1 through 5 rating of something.

Note - This Data is Purely Random (Dummy Data). if you wish, you can perform some data visualization and model building part into it.

Reference - https://towardsdatascience.com/build-a-your-own-custom-dataset-using-python-9296540a0178

The number of 5G mobile data subscriptions in Italy was forecast to reach almost ** million in 2024, with the vast majority of connections using 4G mobile networks.

The dataset is composed of a CSV file with 93605 rows and 11 columns. The data source is Azure Cost Analysis, and the dataset contains costs from the last 4 months for a subscription.

The columns of the dataset are as follows:

• "InvoiceSectionName": anonymized
• "Date": the date when the cost was recorded
• "MeterCategory": the category of the resource type that generated the cost
• "CostInBillingCurrency": the cost of the resource in the billing currency
• "MeterSubCategory": the subcategory of the resource type that generated the cost
• "MeterName": the name of the resource type that generated the cost
• "SubscriptionName": anonymized
• "ResourceGroup": anonymized
• "ConsumedService": the service that was consumed
• "ResourceLocation": the location of the resource
• "ResourceName": anonymized

In addition to categorical data, the dataset contains the "Date" column for dates and "CostInBillingCurrency" for costs. The "CostInBillingCurrency" column will be the attribute to analyze to find an efficient forecasting strategy.

Using this dataset for forecasting can be highly beneficial for businesses and organizations that want to understand and manage their costs. Forecasting can help predict future costs based on historical trends and patterns, which can help organizations make better financial decisions and plan more effectively.

The total number of mobile data subscriptions in Chad was forecast to reach ** million in 2024, with the number of ** connections rising to *** million.

The number of mobile data subscriptions in Slovakia was forecast to reach **** million in 2024, with the majority of connections using ** mobile networks.

Dataset

This dataset was created by Mohammad Al-Azawi

Contents

Ref https://data.gov.om/OMC

This dataset contains Iowa households by presence and type of internet subscriptions for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B28002.

Internet presence includes the following: Total, Yes, and No.

Internet subscription type includes the following: Total; All Subscriptions; Broadband - Cable Fiber Optic/DSL; Satellite Internet Service; Other Service, No Other Type; Broadband - Any Type; No Subscription; Broadband - Cable Fiber Optic/DSL, No Other Type; Cellular Data Plan; No Internet Access; Satellite Internet Service, No Other Type; Dial-up, No Other Type; and Cellular Data Plan, No Other Type.

Publishing and Subscriptions Software Market Outlook

The global publishing and subscriptions software market size is projected to grow significantly from USD 5.7 billion in 2023 to USD 12.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 9.3% during the forecast period. This impressive growth can be attributed to the increasing adoption of digital solutions by businesses and individuals, aiming to streamline their operations and enhance user engagement through advanced content management and subscription models.

One of the primary growth factors for the publishing and subscriptions software market is the rapid digital transformation across various industries. With the surge in internet penetration and the proliferation of smartphones and other smart devices, there has been a significant shift from traditional print media to digital platforms. This shift is creating a substantial demand for robust software solutions that can manage digital subscriptions, automate publishing processes, and provide comprehensive analytics to track user engagement and content performance. Additionally, the increasing consumption of online content, accelerated by the COVID-19 pandemic, has further boosted the need for sophisticated publishing and subscription software.

Another crucial driver is the rising need for personalized content experiences. Modern users expect content that is tailored to their preferences and behaviors. Publishing and subscriptions software equipped with advanced analytics and AI-driven insights enable content creators and publishers to deliver highly personalized experiences. By analyzing user data and behavior patterns, these software solutions can recommend relevant content, thereby increasing user satisfaction and retention rates. This trend is particularly evident in sectors such as media and entertainment, where competition for user attention is fierce, and personalized content can be a key differentiator.

Moreover, the growing emphasis on data security and compliance is propelling the adoption of publishing and subscriptions software. With the increasing volume of sensitive user data being processed and stored, organizations need robust software solutions that ensure data privacy and comply with stringent regulatory standards. Modern publishing and subscriptions software come with built-in security features and compliance tools that help organizations safeguard user data and adhere to regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). This aspect is especially crucial for industries like education and government, where data security is paramount.

The role of Publishing Software in this evolving landscape cannot be overstated. As businesses and individuals increasingly shift towards digital platforms, the demand for sophisticated publishing software solutions is on the rise. These solutions are designed to streamline the content creation and distribution process, enabling publishers to manage their digital assets efficiently. With features such as automated workflows, real-time collaboration, and integration with various content management systems, publishing software is becoming an essential tool for organizations looking to enhance their digital presence. Moreover, the ability to provide personalized content experiences through advanced analytics and AI-driven insights further underscores the importance of publishing software in today's market.

Regionally, North America is expected to hold the largest market share due to the high adoption rate of digital technologies and the presence of numerous key players in the region. The Asia Pacific region is also anticipated to exhibit significant growth during the forecast period, driven by the rapid digitalization in emerging economies such as China and India, and increasing investments in IT infrastructure. Additionally, Europe is expected to witness steady growth, supported by the growing focus on digital transformation and data privacy regulations. Latin America and the Middle East & Africa are also likely to experience notable growth, albeit at a slower pace compared to other regions.

Component Analysis

The publishing and subscriptions software market is segmented by component into software and services. The software segment includes solutions designed to manage content creation, distribution, and subscription models. This segment is witnessing robust growth due to the increasing need for efficient co

Forecast: Mobile Data Usage Per Mobile Broadband Subscription in Finland 2022 - 2026 Discover more data with ReportLinker!

Number of fixed broadband subscriptions (lines).

Original source

Electronic communications market indicators collected by Commission services, through National Regulatory Authorities, for the Communications Committee (COCOM) - January and July reports.:

http://ec.europa.eu/digital-agenda/about-fast-and-ultra-fast-internet-access

Parent dataset

This dataset is part of of another dataset:

http://digital-agenda-data.eu/datasets/digital_agenda_scoreboard_key_indicators

Forecast: Mobile Data Usage Per Mobile Broadband Subscription in the UK 2022 - 2026 Discover more data with ReportLinker!

Forecast: Mobile Data Usage Per Mobile Broadband Subscription in Spain 2022 - 2026 Discover more data with ReportLinker!

NOTE: To review the latest plan, make sure to filter the "Report Year" column to the latest year. This is a list of civic engagement activities reported by city agencies for the purpose of providing context, spreading awareness, and increasing the use of public data. Details include activity descriptions, date of completion and links to further information on the reported activity. For the historical 2018-2022 data please refer to https://data.cityofnewyork.us/d/keb3-v9xt/

This dataset contains payments made by UK higher education institutions for access to academic journals from ten publishers from 2010-2019. The data was obtained by sending Freedom of Information (FOI) requests to institutions through the website What Do They Know. The requests, and all original source data, can be found at https://www.whatdotheyknow.com/user/stuart_lawson/requests.

The total expenditure with these ten publishers from 2010-2019 was over £982 million. This includes some gaps in the data, so the true figure is almost certainly greater than £1 billion.

The data was originally produced in three stages:

• Data for 2010-14 was published at https://doi.org/10.6084/m9.figshare.1186832

• Data for 2015-16 was published at https://doi.org/10.6084/m9.figshare.4542433

• Data for 2017-19 was published at https://doi.org/10.5281/zenodo.3828461

These three datasets contain direct links to the original FOI requests. The present dataset is a combination of these three datasets and contains no additional data.

The global automated recurring billing market is experiencing robust growth, driven by the increasing adoption of subscription-based business models across diverse sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $45 billion by 2033. This significant expansion is fueled by several key factors. The rise of SaaS (Software as a Service) applications, the booming streaming services industry, and the ever-growing preference for convenient, automated payment solutions are all contributing to this market's upward trajectory. Furthermore, businesses of all sizes are recognizing the efficiency gains and reduced operational costs associated with automated recurring billing systems, making it a strategic investment for enhancing financial management. The market segmentation reveals strong growth across various applications, including telecom, media (newspapers, magazines), fitness (gym memberships), and the rapidly expanding SaaS sector. Several trends are shaping this market landscape. The integration of artificial intelligence (AI) and machine learning (ML) into billing systems is enhancing accuracy and streamlining processes. A growing emphasis on improved customer experience is driving the development of user-friendly billing platforms that offer transparency and personalized payment options. However, challenges remain. Security concerns around sensitive payment data are paramount, and regulatory compliance across diverse geographical regions poses a hurdle for market players. Despite these restraints, the long-term outlook for automated recurring billing remains highly positive, fueled by the sustained adoption of subscription models and continuous technological advancements.

The InSight IDA data bundle consists of IDA data in three collections: science and engineering products in the data_raw_calibrated collection, status, history and parameters products in the data_ancillary collection, and time-lapse video products in the document_video collection (to be included in a future IDA release). The bundle also includes the IDA Software Interface Specification in the IDA document collection.

Ireland Number of Internet Subscriptions: Broadband: Cable data was reported at 371,398.000 Unit in Jun 2018. This records a decrease from the previous number of 373,239.000 Unit for Mar 2018. Ireland Number of Internet Subscriptions: Broadband: Cable data is updated quarterly, averaging 223,557.000 Unit from Mar 2004 (Median) to Jun 2018, with 58 observations. The data reached an all-time high of 375,546.000 Unit in Dec 2017 and a record low of 5,200.000 Unit in Mar 2004. Ireland Number of Internet Subscriptions: Broadband: Cable data remains active status in CEIC and is reported by Commission for Communications Regulation. The data is categorized under Global Database’s Ireland – Table IE.TB001: No of Internet, Mobile and Broadcast Subscriptions.

Subscription Management Platform Market Outlook

According to our latest research, the global Subscription Management Platform market size reached USD 8.4 billion in 2024, demonstrating robust expansion fueled by the digital transformation of recurring business models. The market is expected to grow at a CAGR of 16.5% from 2025 to 2033, reaching an estimated USD 35.9 billion by 2033. The primary growth factor for this market is the accelerating shift of enterprises toward subscription-based revenue streams, driven by the need for predictable income, customer retention, and scalable business operations.

One of the most significant growth drivers for the Subscription Management Platform market is the rapid adoption of digital services across various industries. Enterprises are increasingly moving away from traditional one-time sales models to recurring revenue streams, leveraging subscription models for software, content, and even physical goods. This shift is propelled by the proliferation of SaaS (Software-as-a-Service) offerings, the rise of streaming services, and the growing preference among consumers for flexibility and convenience. As organizations scale their subscription offerings, they require robust platforms to automate billing, manage customer lifecycles, and ensure compliance with global tax and data regulations, thus fueling demand for advanced subscription management solutions.

Another critical factor contributing to market growth is the integration of artificial intelligence (AI) and analytics into subscription management platforms. Modern solutions are increasingly leveraging AI to personalize customer experiences, predict churn, optimize pricing strategies, and automate complex billing scenarios. The integration of analytics and reporting tools enables organizations to gain actionable insights into subscriber behavior, forecast revenue, and make data-driven decisions. Additionally, the surge in mobile commerce and digital payment options has necessitated seamless, secure, and scalable platforms that can handle high transaction volumes, further driving the need for sophisticated subscription management solutions.

Regulatory compliance and security concerns are also shaping the evolution of the Subscription Management Platform market. With the expansion of international businesses and the introduction of stringent data privacy laws such as GDPR and CCPA, companies are seeking platforms that offer comprehensive compliance features and robust security protocols. Subscription management vendors are responding by enhancing their platforms with advanced encryption, automated tax calculation, and data residency options. These developments are particularly crucial for sectors like BFSI, healthcare, and education, where regulatory requirements are stringent and the cost of non-compliance is high. As a result, the market is witnessing increased investment in platform upgrades and innovation to meet evolving compliance needs.

As the subscription economy continues to expand, businesses are increasingly exploring innovative ways to enhance customer engagement and streamline operations. One such innovation is the Replenishment Subscription Platform, which automates the process of restocking products for consumers. This platform is particularly beneficial for industries like consumer goods and healthcare, where timely replenishment is crucial for maintaining customer satisfaction and loyalty. By leveraging data analytics and customer preferences, businesses can ensure that products are delivered just in time, reducing the risk of stockouts and enhancing the overall customer experience. The Replenishment Subscription Platform not only simplifies inventory management but also provides a steady revenue stream, making it an attractive proposition for businesses looking to optimize their supply chain and improve customer retention.

From a regional perspective, North America continues to dominate the Subscription Management Platform market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The high adoption rate of digital services, mature IT infrastructure, and presence of leading technology vendors position North America as a leader in this space. Meanwhile, Asia Pacific is experiencing the fastest growth, driven by the digitalization of enterprises, rising internet p

Ireland Number of Internet Subscriptions: Broadband: Others data was reported at 60,754.000 Unit in Jun 2018. This records an increase from the previous number of 54,956.000 Unit for Mar 2018. Ireland Number of Internet Subscriptions: Broadband: Others data is updated quarterly, averaging 10,100.500 Unit from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 60,754.000 Unit in Jun 2018 and a record low of 230.000 Unit in Mar 2005. Ireland Number of Internet Subscriptions: Broadband: Others data remains active status in CEIC and is reported by Commission for Communications Regulation. The data is categorized under Global Database’s Ireland – Table IE.TB001: No of Internet, Mobile and Broadcast Subscriptions.

This is a World Bank Dataset on Mobile Cellular Subscriptions from 1980 to 2019. Source: https://data.worldbank.org/indicator/IT.CEL.SETS?end=2019&start=2000