According to a survey of young healthcare professionals worldwide carried out in 2020, ** percent of respondents reported that training on how to use new technologies would enable them to use digital patient data effectively. Furthermore, over half of the healthcare workers surveyed reported that support staff for either data management or data entry would allow them to use patient digital data efficiently.

snapshot-tab-pane Data Analytics Market Size 2026-2030The data analytics market size is valued to increase by USD 375.6 billion, at a CAGR of 16.4% from 2025 to 2030. Increasing adoption of data-driven decision making across various industries will drive the data analytics market.Major Market Trends & InsightsNorth America dominated the market and accounted for a 32.6% growth during the forecast period.By Component - Services segment was valued at USD 207.6 billion in 2024By Deployment - Cloud segment accounted for the largest market revenue share in 2024Market Size & ForecastMarket Opportunities: USD 523.6 billionMarket Future Opportunities: USD 375.6 billionCAGR from 2025 to 2030 : 16.4%Market SummaryThe data analytics market is defined by its critical role in converting raw data into strategic intelligence. A primary driver is the enterprise-wide shift toward data-driven decision-making, where organizations use business intelligence tools for everything from supply chain optimization to enhancing the personalized customer experience.Key trends include the integration of machine learning algorithms for predictive modeling and the expansion of cloud-native analytics, which provide scalable and flexible data warehousing solutions.For instance, a retail firm can now use real-time data processing to instantly adjust inventory levels based on live sales data and simultaneously launch targeted marketing campaigns, a process that improves operational efficiency by over 30%.However, the industry faces challenges related to data governance frameworks and a persistent shortage of professionals with skills in advanced statistical analysis, which can hinder the adoption of more complex technologies like natural language processing and federated learning.What will be the Size of the Data Analytics Market during the forecast period? Get Key Insights on Market Forecast (PDF) Get Free SampleHow is the Data Analytics Market Segmented?The data analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD billion" for the period 2026-2030, as well as historical data from 2020-2024 for the following segments.ComponentServicesSoftwareHardwareDeploymentCloudOn-premisesApplicationSupply chain managementDatabase managementEnterprise resource planningOthersGeographyNorth AmericaUSCanadaMexicoEuropeGermanyUKFranceAPACChinaJapanIndiaMiddle East and AfricaSaudi ArabiaUAESouth AfricaSouth AmericaBrazilArgentinaColombiaRest of World (ROW)By Component InsightsThe services segment is estimated to witness significant growth during the forecast period.The services segment is integral to the data analytics market, encompassing professional consulting, platform deployment, and managed support. Organizations increasingly rely on these services to design and implement embedded analytical frameworks and navigate complex multi-cloud analytics environments.Service providers offer expertise in establishing robust data governance frameworks, which are critical for ensuring regulatory compliance reporting and managing data as a strategic asset.By leveraging specialized consulting for algorithmic decision-making and creating semantic data layers, firms can accelerate their data-driven decision-making capabilities.Partnering with managed service providers has been shown to reduce implementation risks associated with hybrid cloud analytics by up to 40%, ensuring a smoother transition and faster time-to-value. Get Free SampleThe Services segment was valued at USD 207.6 billion in 2024 and showed a gradual increase during the forecast period. Get Free SampleRegional AnalysisNorth America is estimated to contribute 32.6% 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. See How Data Analytics Market Demand is Rising in North America Get Free SampleThe geographic landscape of the data analytics market is characterized by mature, high-value adoption in North America and rapid, scalable growth in APAC.North America leads in deploying advanced data warehousing solutions and embedded analytical frameworks, with a strong focus on regulatory compliance reporting and data security protocols. The region benefits from robust infrastructure supporting real-time data processing for edge computing analytics.In contrast, APAC is the fastest-growing region, expanding at a rate nearly 2% higher than North America, driven by mobile-first economies and massive investments in data pipeline automation.This expansion is fueling demand for marketing campaign optimization and tools that turn data into a strategic asset. Both regions show a strong trend toward cloud-native

The Knight Alzheimer Disease Research Center (ADRC) Data Freeze Ending 2025-03-31 is a longitudinal compilation of harmonized, processed research data collected from August 1, 1979 through March 31, 2025. This Data Freeze represents a fixed, versioned snapshot of curated datasets maintained by the ADRC and is intended to support reproducible secondary analyses under approved data use agreements.

The Data Freeze includes data contributed by multiple ADRC Cores, including clinical assessments, cognitive testing, neuropsychological measures, neuroimaging data summaries, fluid biomarker data, neuropathology variables, and related research measures. Modules are compiled, quality controlled, and integrated according to ADRC Data Management and Sharing procedures prior to freeze finalization.

This dataset reflects the full longitudinal structure of ADRC participant data available as of the official cutoff date (March 31, 2025). No data collected after this date are included in this release. Each subsequent Data Freeze constitutes a new versioned dataset with its own DOI.

The purpose of this Data Freeze is to: 1. Provide a stable, citable dataset snapshot for approved secondary analyses 2. Support NIH Data Management and Sharing (DMS) policy compliance 3. Enable transparency, reproducibility, and longitudinal tracking of dataset versions

This repository record provides metadata describing the Data Freeze and assigns a persistent DOI to this version. The underlying human subject data are stored in a secure Research Infrastructure Services (RIS) environment and are not publicly downloadable.

Access to this dataset is controlled and requires submission of a formal data request through the Knight ADRC Request Center. Approved investigators must complete the appropriate Data Use Agreement prior to receiving access. Upon approval, access to the static dataset corresponding to this DOI will be granted through ADRC-managed secure infrastructure.

Investigators using this Data Freeze must cite this dataset DOI in all resulting publications and acknowledge Knight ADRC funding as specified in the Data Use Agreement.

This dataset was generated and curated by the Knight ADRC Data Management and Statistics Core in collaboration with contributing ADRC Cores.

For information about submitting a data request, please visit: https://knightadrc.wustl.edu/professionals-clinicians/request-center-resources/submit-a-request/

The Identity and Access Management (IAM) Professional Service market plays a crucial role in today's digital landscape, where cybersecurity threats and data breaches are on the rise. IAM encompasses policies, processes, and technologies that ensure the right individuals access the right resources at the ri...

Global Professional Services Automation Software market size was $13625.49 million in 2025 and is reach $42590.71 million by 2034, a CAGR of 13.5%.

This study aimed to (1) assess the effectiveness of educational management in Sarasas affiliated area 2 schools, (2) examine factors influencing its effectiveness, and (3) propose improvement guidelines. The sample included 180 teachers and administrators, determined using the G*Power program with a 5% margin of error and a test power of 0.95. Additionally, three school administrators were selected via purposive sampling. Research instruments included questionnaires addressing personal factors, levels of effectiveness in academic, budget, personnel, and general administration, and factors related to administrators, learners, teachers, and school environments. Data were analyzed using descriptive statistics, Pearson’s correlation, stepwise multiple regression, and content analysis. Findings revealed that factors influencing educational management effectiveness were at a high level, ranked as follows: school environment, administrators, teachers, and learners. Educational management effectiveness was also high, with academic administration scoring the highest, followed by general, personnel, and budget administration. Improvement guidelines include promoting student-centered learning and 21st-century skills for learners, enhancing professional development and motivation for teachers, fostering visionary leadership and resource management for administrators, and optimizing school environments to support effective learning and mental well-being.

This study aimed to (1) assess the effectiveness of educational management in Sarasas affiliated area 2 schools, (2) examine factors influencing its effectiveness, and (3) propose improvement guidelines. The sample included 180 teachers and administrators, determined using the G*Power program with a 5% margin of error and a test power of 0.95. Additionally, three school administrators were selected via purposive sampling. Research instruments included questionnaires addressing personal factors, levels of effectiveness in academic, budget, personnel, and general administration, and factors related to administrators, learners, teachers, and school environments. Data were analyzed using descriptive statistics, Pearson’s correlation, stepwise multiple regression, and content analysis. Findings revealed that factors influencing educational management effectiveness were at a high level, ranked as follows: school environment, administrators, teachers, and learners. Educational management effectiveness was also high, with academic administration scoring the highest, followed by general, personnel, and budget administration. Improvement guidelines include promoting student-centered learning and 21st-century skills for learners, enhancing professional development and motivation for teachers, fostering visionary leadership and resource management for administrators, and optimizing school environments to support effective learning and mental well-being.

The Core Information Standard defines a set of information that may be shared between systems in different sites and settings, and with professionals and people using services. It is a key enabler of integrated, joined up care.

The information accessed will differ depending on who is accessing it, for what reason and the wishes of the individual receiving care. Its use will be decided locally. NHS England specifies the Core Information Standard as the standard that all shared care records should conform to.

About this standard

The Core Information Standard defines a set of information which should be common to most systems and would be a merge of records drawn from different settings. It sets out what information should be shared between organisations and geographies and could be used to populate shared care records. The expectation is that this information would be read only, at least initially.

The standard will enable health and care professionals to:

• view a consolidated medication record
• run algorithms where there may be gaps in care
• identify individuals at risk
• proactively notify other health and care professionals

Local implementations will need to define different ‘views’ in their shared care record of the information for different professionals and other users, including people who use services, and local use cases based on the information governance framework which will be published by NHS England.

These views should define what information is needed by a professional (or a person) in particular circumstances. How the information is presented to professionals and people in a shared care record will be dependent on the local systems in place, but it should be presented in such a way as to provide maximum benefit for different users (in different roles) in each given use case.

A view of a shared care record conformant with the Core Information Standard has been approved as appropriate and complementary for professionals working in pharmacy, optometry, dentistry, ambulance and community services. The use of a national common core information standard across all services will complement the introduction and expansion of local ICS shared care record developments.

Scope

The Core Information Standard is a thoroughly researched and validated definition of the standard, tested with citizens, patients, carers and health and social care professionals.

• a core set of information relevant for direct care across a variety of settings.
• a set of information that could potentially be shared with professionals depending on their role and circumstances.
• a definition of the information professionals and people who use services have told us they want to see in a Shared Care Record.
• an information set that is readily translatable across clinical settings e.g. mental health to accident and emergency; acute care to social care etc.
• a blueprint for local implementations to draw from for their own local sources depending on local requirements. Local implementers may add to the core information.

The Core Information Standard is not

• a definition of an exhaustive clinical or care record / history.
• a definitive set of information about the person’s current status – no clinical record is this and clinical information needs to be understood by the professional reading it as such.
• a prescriptive definition of what must be included – this will be determined ultimately by local projects and specific use cases.
• a physical data model – FHIR profiles to support interoperability of the data between systems will be commissioned by NHS England.
• a definition of what information professionals should be able to see or change – this will be set out in NHS England’s Information Governance Framework and Role- Based Access Control work.
• a definition of how information should be presented to professionals – what is presented, the depth of history and how the information is viewed/accessed should be defined locally.
• a definition of a shared care record.
• a definition of how the content should be sourced, updated, de-duplicated and normalised i.e. the source data and its processing.
• additions or adjustments needed to successfully implement locally which must be defined in local projects.

How it works

The standard can be seen as a broad set of ‘flexible’ components (or sections), a sub-set of which will be relevant in different situations for different use cases. It has been designed as a generic standard, not for specific use cases. The expectation is that local health and care localities will prioritise their local use cases and build local interoperability informed by the Core Information Standard.

Use of the Core Information Standard in community settings: pharmacy, dentistry, optometry, ambulance and community services (PODAC): PRSB has validated the use of the Core Information Standard for shared care records to professionals working in pharmacy, optometry, dentistry, ambulance and community services, following widespread consultation with clinicians, people using these services and a range of PRSB stakeholders.

This will enable professionals working in these care settings to have access to the right information at the right time to provide clinically safe and effective care, subject to appropriate information governance controls. Using the standard in these settings should improve care and outcomes for people, and it should improve the working lives of professionals who won’t need to create workarounds or log into multiple systems to ensure they have a complete picture of a person’s current and relevant care history, before starting treatment. View the report

The changes made, in April 2026, to the PRSB Core Information Standard relating to sex and gender were undertaken as a response to Professor Alice Sullivans report Independent review of data, statistics and research on sex and gender - GOV.UK, which noted safety issues in data sets and clinical records managed both by NHSE and PRSB. The work was agreed alongside Prof Sullivan herself, and implemented by the PRSB into their core standard earlier this year.