R code and data for a landscape scan of data services at academic libraries. Original data is licensed CC By 4.0, data obtained from other sources is licensed according to the original licensing terms. R scripts are licensed under the BSD 3-clause license. Summary This work generally focuses on four questions:

Which research data services does an academic library provide? For a subset of those services, what form does the support come in? i.e. consulting, instruction, or web resources? Are there differences in support between three categories of services: data management, geospatial, and data science? How does library resourcing (i.e. salaries) affect the number of research data services?

Approach Using direct survey of web resources, we investigated the services offered at 25 Research 1 universities in the United States of America. Please refer to the included README.md files for more information.

For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

Financial Data Services Market size was valued at USD 23.3 Billion in 2023 and is projected to reach USD 42.6 Billion by 2031, growing at a CAGR of 8.1% during the forecast period 2024-2031.Global Financial Data Services Market DriversThe market drivers for the Financial Data Services Market can be influenced by various factors. These may include:The need for real-time analytics is growing: Real-time analytics are becoming more and more necessary in the financial sector due to the acceleration of data consumption. To reduce risks, make wise decisions, and enhance customer service, organizations need quick insights. Stakeholders are giving priority to solutions that enable quick data processing and analysis due to the increase in market volatility and complexity. The need for sophisticated analytical skills is driving providers of financial data services to modernize their products. As companies come to realize that using real-time data is crucial for keeping a competitive edge in a fast-paced financial climate, the competition among them to provide timely insights also boosts market growth.Growing Machine Learning and AI Adoption: Data analysis has been profoundly changed by the incorporation of AI and machine learning technology into financial data services. By enabling predictive analytics, these technologies help financial organizations make better decisions and reduce risk. Businesses can find trends that were previously invisible by automating data processing operations. This leads to more precise forecasts and improved investment plans. Furthermore, sophisticated algorithms are flexible enough to adjust to shifting circumstances, keeping organizations flexible. The increasing intricacy of financial markets necessitates the use of AI and machine learning, which in turn drives demand for sophisticated financial data services and promotes innovation in the sector.Global Financial Data Services Market RestraintsSeveral factors can act as restraints or challenges for the Financial Data Services Market. These may include:Difficulties in Regulatory Compliance: Regulations controlling data management, privacy, and financial transactions place heavy restrictions on the financial data services market. Regulations like the GDPR, CCPA, and banking industry standards like Basel III and SOX must all be complied with by organizations. Complying with these requirements frequently necessitates a significant investment in staff and compliance systems, which can be taxing, especially for smaller businesses. Regulations are dynamic, and different locations have different needs, which adds to the complexity and expense. Noncompliance not only results in monetary fines but also has the potential to harm an entity's image, so impeding market expansion.Dangers to Data Security: Threats to data security are a major impediment to the financial data services market. Because they manage sensitive data, financial institutions are often the targets of cyberattacks. Breach can lead to significant monetary losses, legal repercussions, and long-term harm to one's image. Although they can greatly increase operating expenses, investments in strong security measures like encryption, safe access protocols, and continual monitoring are crucial. Moreover, the dynamic strategies employed by cybercriminals need continuous adjustment, placing a burden on resources and detracting from the main operations of businesses. The evolution of security threats poses a challenge to preserving consumer trust, hence impeding industry expansion.

Market Size statistics on the Financial Data Service Providers industry in the US

Data Subscription Service Market Outlook

The global data subscription service market size was valued at approximately USD 45 billion in 2023 and is expected to reach about USD 120 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. This impressive growth is driven by the increasing reliance on data-driven decision-making across various industries. Businesses and individuals are increasingly subscribing to data services to gain insights, optimize operations, and drive innovation, which in turn fuels market expansion.

Several factors contribute to the robust growth of the data subscription service market. First, the exponential increase in data generation and the need for real-time analytics are primary drivers. In today’s digital age, vast amounts of data are generated every second through various channels such as social media, IoT devices, and e-commerce platforms. Organizations require sophisticated data services to analyze and interpret this data, drawing actionable insights that can enhance their business strategies, optimize operations, and improve customer experiences. Therefore, the demand for data subscription services is soaring, leading to significant market expansion.

Second, the growing adoption of artificial intelligence (AI) and machine learning (ML) technologies is a pivotal growth factor. Data subscription services are integral to the functioning of AI and ML systems as they provide the necessary data inputs for training and refining algorithms. As these technologies become more prevalent across industries such as healthcare, finance, and retail, the reliance on high-quality data services increases. Companies are investing more in data subscription services to harness the full potential of AI and ML, thereby driving market growth.

Third, the rise of remote work and digital transformation initiatives has further augmented the demand for data subscription services. With the shift towards remote and hybrid work models, organizations are increasingly leveraging cloud-based data services to ensure seamless access to vital information regardless of location. Additionally, digital transformation efforts are pushing companies to modernize their data infrastructure, thereby increasing the uptake of subscription-based data services. These trends are expected to continue, contributing significantly to the growth of the market.

Regionally, North America holds the lion’s share of the market, driven by the early adoption of advanced technologies and a strong presence of key industry players. The region's technological infrastructure and focus on innovation make it a fertile ground for the proliferation of data subscription services. However, the Asia Pacific region is projected to witness the highest growth rate, fueled by rapid digitalization, increasing internet penetration, and growing investments in AI and ML technologies. European markets are also notable, with a strong emphasis on regulatory compliance and data privacy driving the adoption of sophisticated data management solutions.

Type Analysis

The data subscription service market can be segmented by type into individual and corporate subscriptions. Individual subscriptions are generally tailored for personal use, providing users with access to specific datasets, market reports, or analytics tools that assist in personal projects, research, or small business operations. As digital literacy increases and more consumers become data-savvy, the demand for individual data subscription services is on the rise. These services are often more affordable and offer flexible payment options, making them accessible to a broader audience.

On the other hand, corporate subscriptions command a significant share of the market due to their comprehensive service offerings and value propositions tailored for businesses. Corporate subscriptions often include access to a vast array of datasets, advanced analytics tools, and dedicated support services. These subscriptions are critical for enterprises looking to enhance their data-driven decision-making processes, optimize operations, and gain a competitive edge. The complexity and volume of data required by corporations necessitate robust data subscription services, driving significant market demand in this segment.

A notable trend in the corporate segment is the increasing preference for customized data solutions. Businesses are seeking subscription services that can be tailored to their unique needs and industry-specific requirements. This customization trend is prompting servi

This graph presents the results of a survey, conducted by BARC in 2014/15, into the current and planned use of technology for the analysis of big data. At the beginning of 2015, ** percent of respondents indicated that their company was already using a big data analytical appliance for big data.

Records from operating a customer call center or service center providing services to the public. Services may address a wide variety of topics such as understanding agency mission-specific functions or how to resolve technical difficulties with external-facing systems or programs. Includes:rn- incoming requests and responsesrn- trouble tickets and tracking logs rn- recordings of call center phone conversations with customers used for quality control and customer service trainingrn- system data, including customer ticket numbers and visit tracking rn- evaluations and feedback about customer servicesrn- information about customer services, such as “Frequently Asked Questions” (FAQs) and user guidesrn- reports generated from customer management datarn- complaints and commendation records; customer feedback and satisfaction surveys, including survey instruments, data, background materials, and reports.

The Big Data Services market is experiencing explosive growth, with a market size of $57.40 billion in 2025 and a projected Compound Annual Growth Rate (CAGR) of 55.18% from 2025 to 2033. This rapid expansion is driven by several key factors. Firstly, the increasing volume and complexity of data generated across various industries necessitates sophisticated solutions for data storage, processing, and analysis. The BFSI (Banking, Financial Services, and Insurance), Telecom, and Retail sectors are leading adopters, leveraging big data analytics for improved customer experience, risk management, and operational efficiency. Furthermore, advancements in cloud computing, artificial intelligence (AI), and machine learning (ML) are fueling the adoption of big data services, enabling more efficient and insightful data analysis. Finally, the growing demand for real-time data processing and advanced analytics is creating new opportunities for service providers. The market is segmented by component (solutions and services) and end-user (BFSI, Telecom, Retail, and Others), with North America currently holding a significant market share, followed by Europe and APAC. The competitive landscape is characterized by a mix of established technology giants (e.g., Microsoft, IBM, Oracle) and specialized big data solution providers. These companies are employing various strategies, including mergers and acquisitions, strategic partnerships, and product innovation, to gain market share and maintain a competitive edge. While the market exhibits significant growth potential, challenges remain, including the high cost of implementation, the need for skilled professionals, and concerns related to data security and privacy. Despite these restraints, the long-term outlook for the big data services market remains extremely positive, with continued expansion driven by technological advancements and increasing data volumes across all sectors. The forecast period of 2025-2033 promises even greater market expansion as organizations increasingly recognize the value of extracting actionable insights from their data.

The statistic presents the leading financial data service companies in the United States in 2015, by revenue. In that year, Visa was ranked second with the revenue of approximately 13.88 billion U.S. dollars.

The size of the Satellite Data Services Market was valued at USD 9.39 USD Billion in 2023 and is projected to reach USD 16.30 USD Billion by 2032, with an expected CAGR of 8.20% during the forecast period. Satellite data services involve the collection, processing, and dissemination of data obtained from satellites orbiting the Earth. These services offer various types of data, including imagery, signals, and measurements related to weather, environmental conditions, and Earth observation. Key features include high-resolution imaging, real-time data acquisition, and global coverage. Types of satellite data services include Earth observation, which monitors land and sea conditions; weather monitoring, providing climate and atmospheric information; and communication services, facilitating data transfer and broadcasting. Applications span multiple fields, such as disaster management, agriculture, urban planning, and defense, enhancing decision-making and operational efficiency by providing timely and accurate information from a global perspective. Key drivers for this market are: Various Upgradations in Existing Naval Guns and Ammunition to Aid Market Growth . Potential restraints include: Stringent Regulations Surrounding Flight Control Systems to Stifle Market Growth. Notable trends are: The development of Digital Radiography Technology for X-ray inspection is the Latest Market Trend.

This session will focus on the baseline of skills that Data Liberation Initiative (DLI) Contacts should have and the corresponding training to achieve these skills. Introducing newcomers to the language of statistics and data is one of the important tasks of the orientation. Acquiring a technical language often poses a barrier to newcomers. To overcome this hurdle, newcomers must grasp both the meaning of new concepts and its abbreviated language of acronyms. Should we expect the orientation to offer all of the baseline skills or is other instruction needed? Do different local environments result in varying uses of DLI resources? Are the same skills needed among differing environments? How much attention should be paid during the orientation to different models of data service? For example, should the implications of buying services from elsewhere (e.g., Sherlock, IDLS, CHASS, Queen’s, etc.) be covered? What kind of distinctions need to be made for the levels of support for instructional and research uses of data? What about the reference uses of data, that is, using data to answer reference questions? Are there additional skills required of those supporting DLI data for research and reference uses? If there are, what are they and how should they be introduced?

The AI Data Service market size is projected to grow from USD 10,318 million in 2025 to USD 24,273 million by 2033, at a CAGR of 11.9% during the forecast period. The market is driven by the increasing adoption of AI in various industries, the growing demand for data for training AI models, and the need for high-quality data for AI applications. The increasing use of AI in autonomous driving, smart industry, smart security, and other applications is creating a substantial demand for AI data services. The training of AI models requires a large amount of data, and the quality of the data has a significant impact on the accuracy and performance of the models. As AI becomes more widely adopted, the demand for high-quality data will continue to grow. The market is fragmented with a number of players offering a variety of services. The key players include Testin Ltd., Appen, Baidu, Amazon Mechanical Turk (MTurk), Alibaba Cloud, JDCloud.com, Tencent, DATATANG, DataOcean AI, and Beijing Anjiezhihe Technology.

The global sports data service market, valued at $1736 million in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 9.4% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing popularity of sports globally, coupled with the rising demand for advanced analytics in sports management and broadcasting, is a major catalyst. Furthermore, technological advancements, particularly in data collection and processing, are enabling the development of sophisticated data services catering to diverse needs within the industry. The rise of fantasy sports and esports further contributes to market growth, as these sectors heavily rely on accurate and timely sports data. The market is segmented by application (Professional Clubs, State Management Agencies, Others) and type of service (Sports Data Collection Service, Sports Data Analysis Service, Others). Professional clubs and sports data analysis services currently dominate, but other segments are poised for significant growth driven by increased adoption in emerging markets and the expanding use of data for fan engagement and player development. Market restraints primarily involve data privacy concerns and the competitive landscape. Stringent regulations regarding data usage and player information necessitate robust security protocols, increasing operational costs. Simultaneously, the market is characterized by intense competition amongst established players and new entrants vying for market share. This competition leads to pricing pressure, making innovation and differentiation crucial for sustainable growth. North America currently holds a significant market share due to a well-established sports infrastructure and advanced technological capabilities. However, rapidly growing interest in sports and increasing digital penetration in Asia-Pacific and other regions indicate a promising expansion potential for these markets in the forecast period. Successful companies in this space are adapting to these factors by focusing on data security, providing personalized and niche services, and forging strategic partnerships to expand their reach and maintain a competitive edge.

Included are the data set used in the LIBER/Second Academic Libraries Follow-Up Assessment, the survey instrument, and an about file are available.

The multimodal data services market, currently valued at $2.957 billion (2025), is projected to experience robust growth, driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) across various sectors. The convergence of different data types—text, images, audio, video—offers richer insights and more effective solutions than unimodal approaches. This is fueling demand for advanced analytics and solutions capable of processing and interpreting this complex data. Key drivers include the need for enhanced customer experiences through personalized services (e.g., chatbots with image recognition), advancements in AI algorithms enabling efficient multimodal data processing, and the rising adoption of cloud-based infrastructure that supports the scalability required for handling large volumes of diverse data. The market is witnessing several trends, including the development of more sophisticated multimodal models, the integration of edge computing for faster processing, and the growing emphasis on data security and privacy within multimodal applications. While challenges like data heterogeneity and the computational complexity of processing diverse data sources exist, the overall market outlook remains positive. The continuous innovation in AI and the expanding applications of multimodal technologies across healthcare, finance, and autonomous systems are expected to drive substantial market growth throughout the forecast period (2025-2033). The market is highly competitive, with major players like Google, IBM, NVIDIA, and OpenAI leading the innovation. Smaller, specialized companies are also making significant contributions, focusing on niche applications and providing tailored solutions. The geographic distribution is likely to reflect established technology hubs, with North America and Europe holding significant market shares initially. However, the rapid growth in AI adoption in regions like Asia-Pacific is anticipated to significantly alter the regional landscape in the coming years, presenting lucrative opportunities for both established and emerging players. The consistent 5.5% CAGR projected through 2033 indicates a steady expansion of the market, fueled by technological advancements and increasing demand across diverse sectors. This growth will likely be propelled by the broader adoption of AI-driven solutions requiring advanced data processing capabilities.

By 2025, the AI basic data service market size in China was estimated to surpass ** billion yuan. Currently, voice, vision and natural language processing segments constituted to much of the AI basic data services.

Archived as of 6/26/2025: The datasets will no longer receive updates but the historical data will continue to be available for download. This dataset provides information related to the major services for patients. It contains information about the total number of patients, total number of claims, and dollar amount paid, grouped by recipient zip code. Restricted to claims with service date between 01/2012 to 12/2017. Service categories considered are: 01 - Inpatient Service 03 - Outpatient Service 06 - Physician Service 11 - Lab Service 12 - X-Ray Service 17 - Clinic Service 26 - Mental Health Service 27 - Dental Service/Child 28 - Dental Service/Adult 31 - Eye Care and Exams 38 - EPSDT Service Provider is billing provider. This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA. Distance between recipient and provider is a straight-line distance calculated and not the physical distance.

311 Service Request Data

Link Function: information

Snapshot img

Subscriber Data Management Market Size 2024-2028

The subscriber data management market size is forecast to increase by USD 4.08 billion at a CAGR of 16.9% between 2023 and 2028.

The market is experiencing significant growth due to the increasing adoption of target advertisement-based streaming apps. This trend is driven by the rising demand for personalized content and services, which necessitates effective management of subscriber data. Furthermore, the proliferation of 5G technology is fueling the need for faster and more secure data processing and transmission. However, this market is not without challenges. Data privacy and security risks continue to pose a significant threat, with subscriber data being a valuable asset for cybercriminals. Companies must invest in security measures to protect sensitive information and maintain customer trust. Additionally, regulatory compliance and data interoperability across multiple platforms are other challenges that market participants must navigate to capitalize on the opportunities presented by this dynamic market. Overall, the market offers significant potential for growth, particularly for those players who can effectively address the evolving needs of subscribers and mitigate the risks associated with managing large volumes of sensitive data.

What will be the Size of the Subscriber Data Management Market during the forecast period?

Request Free SampleThe market in the US is experiencing significant growth due to the increasing number of mobile subscriptions and the shift towards cloud-based solutions. Telecom operators are prioritizing network functions virtualization (NFV) and long-term evolution (LTE) technologies to enhance their mobile networks, leading to an escalating demand for user data repositories and policy management systems. Telecommunication network providers are also focusing on data security to mitigate cyberattacks and ensure data privacy policies are adhered to. Moreover, the proliferation of Voice over LTE (VoLTE) and Volte services, as well as the integration of subscriber data management systems in telecom service providers' customer relationship management (CRM) and identity management solutions, is driving market expansion. The market is expected to continue growing as 5G subscriptions increase, with hybrid solutions gaining popularity among network carriers to optimize their on-premise and cloud-based offerings. The market's size and direction reflect the industry's commitment to delivering secure, efficient, and innovative subscriber data management solutions to meet the evolving needs of mobile subscribers.

How is this Subscriber Data Management Industry segmented?

The subscriber data management 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. TypeMobile networksFixed networksGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalyUKAPACChinaIndiaJapanMiddle East and AfricaSouth America

By Type Insights

The mobile networks segment is estimated to witness significant growth during the forecast period.The Subscriber Data Management (SDM) market is driven by the mobile networks segment, which accounts for a substantial revenue share. This growth is attributed to the widespread use of mobile devices and the escalating demand for high-speed data services, particularly with the emergence of 5G technology. Mobile networks necessitate advanced SDM solutions to manage the voluminous subscriber data, ensuring uninterrupted service delivery and superior user experiences. The integration of 5G has intensified the need for sophisticated SDM systems due to the complexities introduced in data management, including real-time processing, authentication, and security. Cloud-based SDM solutions with cloud-native design are increasingly popular due to their flexibility, scalability, and ability to handle large volumes of data. Identity management, data integration, and policy management are crucial components of these solutions. The Internet of Things (IoT) and Voice Over IP (VoIP) are additional areas driving the market, as they generate substantial subscriber data that needs to be managed effectively. Data security and privacy are paramount concerns, necessitating the adoption of advanced security solutions and adherence to stringent data privacy policies. Network Carriers, Telecom Operators, and Communication Service Providers (CSPs) are key players in the market, leveraging SDM systems to manage their subscriber data and enhance network performance. Network Functions Virtualization (NFV) and Long-Term Evolution (LTE) are key technologies enabling the deployment of SDM solutions in a hybrid environment, ensuring seamless integration with fixed networks and mobile networks. The market is further

Latest monthly statistics on Learning Disabilities and Autism (LDA) from the Assuring Transformation (AT) collection and Mental Health Services Data Set (MHSDS). There is a slight difference in scope between the two data collections. The MHSDS data is from providers based in England and includes care provided in England but may be commissioned outside England. Whereas the AT dataset is provided by English commissioners with healthcare typically be provided in England, but also includes data on care commissioned in England and provided elsewhere in the UK. There are differences in the inpatient figures between the MHSDS and AT data sets and work has been ongoing to better understand these. NHS Digital are now reviewing the future of the LDSM publication series in terms of content. Further detail on the comparisons can be found in the Resources link below. The release comprises: Assuring Transformation Publication: This statistical release published by NHS Digital makes available the most recent data relating to patients with learning disabilities and/or autistic spectrum disorder receiving inpatient care commissioned by the NHS in England. MHSDS LDA Publication: This publication provides statistics relating to NHS funded secondary mental health, learning disabilities and autism services in England. These statistics are derived from submissions made using version 4.1 of the Mental Health Services Dataset (MHSDS). Prior to May 2018 the LDA service specific statistics were included in the main MHSDS publication. Each publication consists of the following documents: • A report which presents England level analysis of key measures. • A monthly CSV file which presents key measures at England level. • A metadata file to accompany the CSV file, which provides contextual information for each measure. • An easy read version of both main reports highlighting key findings in an easy-to-understand way. A number of changes to NHS organisations were made operationally effective from 1 April 2020. These changes included: 74 former Clinical Commissioning Groups (CCGs) merging to form 18 new CCGs; alterations to commissioning hubs; provider mergers; and the incorporation of Sustainability and Transformation Partnerships (STPs) into the NHS commissioning hierarchy. The Organisation Data Service (ODS) is responsible for publishing organisation and practitioner codes, along with related national policies and standards. A series of ODS data amendments are required to support the introduction of these changes. This would normally result in a number of organisations becoming ‘legally’ closed including the 74 former CCGs. However, to minimise any burden to the NHS during the COVID-19 pandemic and remove any non-critical activity, these organisations remain open within ODS data. ODS aim to both legally and operationally close predecessor organisations involved in April 2020 reconfiguration on 30 September 2020. As all former and current organisations remain legally open, both may be presented within this publication. Activity may be recorded against either former or current organisations, depending on data providers and processors ability to transition to the new organisation codes at this time. The same activity will not be recorded against both former and current organisations. NHS Digital are working to understand the implications of this on how you can interpret these statistics and will provide more information in future editions of this publication series. Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also starting to see some different patterns in the submitted data. For example, fewer patients are being admitted to and discharged from hospital. Therefore, data should be interpreted with care over the COVID-19 period.