In UK Data Governance Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision-making and business growth.

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Data Governance Market Size 2024-2028

The data governance market size is forecast to increase by USD 5.39 billion at a CAGR of 21.1% between 2023 and 2028. The market is experiencing significant growth due to the increasing importance of informed decision-making in business operations. With the rise of remote workforces and the continuous generation of data from various sources, including medical devices and IT infrastructure, the need for strong data governance policies has become essential. With the data deluge brought about by the Internet of Things (IoT) device implementation and remote patient monitoring, ensuring data completeness, security, and oversight has become crucial. Stricter regulations and compliance requirements for data usage are driving market growth, as organizations seek to ensure accountability and resilience in their data management practices. companies are responding by launching innovative solutions to help businesses navigate these complexities, while also addressing the continued reliance on legacy systems. Ensuring data security and compliance, particularly in handling sensitive information, remains a top priority for organizations. In the healthcare sector, data governance is particularly crucial for ensuring the security and privacy of sensitive patient information.

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Data governance refers to the overall management of an organization's information assets. In today's digital landscape, ensuring secure and accurate data is crucial for businesses to gain meaningful insights and make informed decisions. With the increasing adoption of digital transformation, big data, IoT technologies, and healthcare industries' digitalization, the need for sophisticated data governance has become essential. Policies and standards are the backbone of a strong data governance strategy. They provide guidelines for managing data's quality, completeness, accuracy, and security. In the context of the US market, these policies and standards are essential for maintaining trust and accountability within an organization and with its stakeholders.

Moreover, data volumes have been escalating, making data management strategies increasingly complex. Big data and IoT device implementation have led to data duplication, which can result in data deluge. In such a scenario, data governance plays a vital role in ensuring data accuracy, completeness, and security. Sensitive information, such as patient records in the healthcare sector, is of utmost importance. Data governance policies and standards help maintain data security and privacy, ensuring that only authorized personnel have access to this information. Medical research also benefits from data governance, as it ensures the accuracy and completeness of data used for analysis.

Furthermore, data security is a critical aspect of data governance. With the increasing use of remote patient monitoring and digital health records, ensuring data security becomes even more important. Data governance policies and standards help organizations implement the necessary measures to protect their information assets from unauthorized access, use, disclosure, disruption, modification, or destruction. In conclusion, data governance is a vital component of any organization's digital strategy. It helps ensure high-quality data, secure data, and meaningful insights. By implementing strong data governance policies and standards, organizations can maintain trust and accountability, protect sensitive information, and gain a competitive edge in today's data-driven market.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Risk management
  Incident management
  Audit management
  Compliance management
  Others


Deployment

  On-premises
  Cloud-based


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Sweden


  APAC

    India
    Singapore


  South America



  Middle East and Africa

By Application Insights

The risk management segment is estimated to witness significant growth during the forecast period. Data governance is a critical aspect of managing data in today's business environment, particularly in the context of wearables and remote monitoring tools. With the increasing use of these technologies for collecting and transmitting sensitive health and personal data, the risk of data breaches and cybersecurity threats has become a significant concern. Compliance regulations such as HIPAA and GDPR mandate strict data management practices to protect this information. To address these challenges, advanced data governance solutions are being adopted.

This Data Access Agreement (DAA) is freely available to use and is intended for use where data is accessed within a Trusted Research Environment (TRE) for the purposes of research and development for the public good. The DAA has been developed by the TRE Legal Toolkit Action Force of the Pan UK Data Governance Steering Group. The Pan UK Data Governance Steering Group is a working Group of the UK Health Data Research Alliance representing data custodians and policymakers across the four nations. The Steering Group is focused on simplifying and streamlining data access governance processes. The DAA terms and conditions should not be modified. The annexes are customisable to allow for differences between TREs. New with Version 6.0 we are providing a Personal Data and a Non-Personal Data template The latter intended for use only where the data accessed in the TRE and the Data Output are both not considered Personal Data or Confidential Patient Information (CPI) from the perspective of the Approved User and their Approved User Organisation who are accessing the data on behalf of the Sponsor Organisation. If research will involve access to Data that is Personal Data or CPI, or the creation of Data Outputs that are likely to become Personal Data or CPI in the hands of the intended recipients, the Personal Data version must be used. We wish to encourage widespread adoption of this template and it is freely available to use. If you do plan to adopt this template or would like to discuss any queries please get in touch with: Rachel Brophy, Head of Information and Research Governance, HDR UK (rachel.brophy@hdruk.ac.uk) cc: informationgovernance@hdruk.ac.uk Please see version control document for details of changes.

In 2021, 45 percent of respondents from the United States and United Kingdom stated investing in analytics tools is a goal of their unstructured data management strategy. Further, avoiding costs and aiming for better visibility rank second and third in terms of goals. Among the challenges are an effective tiering strategy.

Used to monitor underlying stocks that form part of some funds. No commercial or personal information. Used to monitor the risk (such as use of child labour, association with tobacco, etc.) associated with actual and potential investments.

This statistic displays the performance management efficiency benefits as a result of Big Data in the United Kingdom (UK) from 2015 to 2020, by industry. It was estimated that manufacturing would benefit most from improved performance management due to Big Data implementation. In contrast to the **** billion British pounds in benefits of that sector, the estimated benefits of the insurance sector amounted to ** million British pounds.

During the first half of 2024, 84.4 percent of requests for user data issued to Facebook by the government of the United Kingdom (UK) resulted in some data being shared. In the first half of 2021, the share of user data requests where some data was produced to the government agencies peaked at 92 percent.

Anonymised results of an international survey of Research Data Services provided by academic libraries.The survey was distributed Feb-April 2018 in the following countries: Australia, Canada, Germany, Ireland, Netherlands, New Zealand, UK, USA - primarily by direct invitation to a library director.A similar survey was distributed in 2014.Supports the following articles:-Cox, A., Kennan, M., Lyon, L., Pinfield, S. and Sbaffi, L. (2019), "Maturing research data services and the transformation of academic libraries", Journal of Documentation, Vol. 75 No. 6, pp. 1432-1462. https://doi.org/10.1108/JD-12-2018-0211Cox, A., Kennan, M., Lyon, L., Pinfield, S. and Sbaffi, L. "Progress in Research Data Services: An international survey of university libraries (2019), VOL 14 NO 1 (2019) http://www.ijdc.net/article/view/595

United Kingdom UK: Government Effectiveness: Estimate data was reported at 1.414 NA in 2017. This records a decrease from the previous number of 1.602 NA for 2016. United Kingdom UK: Government Effectiveness: Estimate data is updated yearly, averaging 1.648 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 1.933 NA in 1998 and a record low of 1.414 NA in 2017. United Kingdom UK: Government Effectiveness: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WGI: Country Governance Indicators. Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

The UK enterprise data management sector is projected to exceed USD 2.99 billion by 2030, supported by the increasing necessity for data governance and digital transformation.

This statistic illustrates the share of companies that implemented identity and access management as a data loss prevention in the United Kingdom (UK) from 2010 to 2015. In 2015, ** percent of organisations in the UK use identity and access management to prevent data loss.

During the first half of 2024, Facebook received 10,648 requests from the United Kingdom (UK) government for user data. These requests included emergency requests as well as requests for data needed for legal processes.

UK: Women Business and the Law Index Score: scale 1-100 data was reported at 97.500 NA in 2023. This stayed constant from the previous number of 97.500 NA for 2022. UK: Women Business and the Law Index Score: scale 1-100 data is updated yearly, averaging 82.500 NA from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 97.500 NA in 2023 and a record low of 51.875 NA in 1972. UK: Women Business and the Law Index Score: scale 1-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Governance: Policy and Institutions. The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each index (Mobility, Workplace, Pay, Marriage, Parenthood, Entrepreneurship, Assets and Pension), with 100 representing the highest possible score.;World Bank: Women, Business and the Law. https://wbl.worldbank.org/;;1. For the reference period, WDI and Gender Databases take the data coverage years instead of reporting years used in WBL (https://wbl.worldbank.org/). For example, the data for YR2020 in WBL (report year) corresponds to data for YR2019 in WDI and Gender Databases. 2. The 2024 Women, Business and the Law (WBL) report has introduced two distinct datasets, labeled as 1.0 and 2.0. The WBL data in the Gender database is based on the dataset 1.0. This dataset maintains consistency with the indicators used in previous WBL reports from 2020 to 2023. In contrast, the WBL 2.0 dataset includes new areas of childcare and safety. For those interested in exploring the WBL 2.0 dataset, it is available on the WBL website at https://wbl.worldbank.org.

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Enterprise Data Management Market Size 2024-2028

The enterprise data management market size is estimated to grow by USD 126.2 billion, at a CAGR of 16.83% between 2023 and 2028. The market is experiencing significant growth, driven by the increasing demand for data integration and visual analytics to support informed business decision-making. Technological developments, such as cloud computing, artificial intelligence, and machine learning, are revolutionizing data management processes, enabling organizations to handle large volumes of data more efficiently. However, integration challenges persist, particularly with unscalable applications and disparate data sources. Addressing these challenges requires strong EDM solutions that ensure data accuracy, security, and accessibility. The market is expected to continue its expansion, fueled by the growing recognition of data as a strategic asset and the need for organizations to derive actionable insights from their data to gain a competitive edge.

What will be the Size of the Enterprise Data Management Market During the Forecast Period?

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Enterprise Data Management Market Segmentation

The enterprise data management market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.

End-user Outlook 

  BFSI
  Healthcare
  Manufacturing
  Retail
  Others





Deployment Outlook 

  On-premise
  Cloud-based





Region Outlook

  North America

    The U.S.
    Canada





  Europe

    U.K.
    Germany
    France
    Rest of Europe





  APAC

    China
    India





  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa


  South America

    Chile
    Brazil
    Argentina

By End User

The market share growth by the BFSI segment will be significant during the forecast period. The BFSI segment dominated the market and will continue to hold a major share of the market during the forecast period. The complete digitization of core processes, the adoption of customer-centric approaches, and the rising volume of data drive the growth of the segment. The enterprise data management market is growing with advancements in data governance, master data management (MDM), and cloud-based data management. Solutions such as data integration, big data management, and data security ensure seamless operations. Enterprise data analytics, data warehousing, and real-time data processing enhance decision-making. With data quality management, business intelligence tools, and data as a service (DaaS), businesses achieve robust insights and efficient data handling.

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The BFSI segment was valued at USD 18.30 billion in 2018. The deployment allows financial institutions to manage data generated from diverse systems and processes such as loan processing, claims management, customer data management, and financial transactions electronically. Hence, it improves customer-centricity. The deployment also allows financial institutions to address sectoral challenges, which range from compliance requirements to data management, data security, transparency, and availability across platforms, time, and geographies. The growth of the BFSI segment is also driven by the need to reduce processing costs, improve operational efficiency, and ensure adherence to compliance standards.

Moreover, solutions such applications provide enterprises with financial planning, budgeting, forecasting, and financial and operational reporting abilities. BFSI companies adopt to streamline their financial planning and budgeting processes in line with their business strategies and plans. The adoption enables funds transfer pricing and provides suitable applications for the accurate calculation of the profitability of the enterprise. Thus, the growth of the BFSI will positively impact enterprise data management market growth during the forecast period.

Regional Analysis

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North America is estimated to contribute 38% to the growth of the global enterprise data management market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. Several industries, especially in the US and Canada, are early adopters of advanced technologies. Hence, the volume of data generated is high, which necessitates its use in North America. The US is the leading market in North America. It is the technological capital of the world and is one of the early adopters of cutting-edge innov

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Data Protection As A Service Market Size 2024-2028

The data protection as a service (DPaaS) market size is forecast to increase by USD 87.57 billion at a CAGR of 46.02% between 2023 and 2028.

The market is experiencing significant growth due to the rising adoption of this solution among various industries in the US. The exponential growth in the volume of data being generated and collected by enterprises necessitates strong data protection measures. Deployment modes like hosted services and hybrid cloud have made DPaaS more accessible and cost-effective for businesses. In-house security teams are increasingly turning to DPaaS to enhance their data security capabilities.
Disaster recovery is another key area where DPaaS is gaining traction, providing businesses with a reliable and efficient backup and recovery solution. Despite its benefits, the high cost of DPaaS remains a challenge for some enterprises. Overall, the DPaaS market is poised for continued growth as more organizations recognize the importance of securing their data in the digital age.

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The market refers to the provision of managed data security services through cloud-based solutions. These services enable organizations to safeguard their data from cyberattacks and data breaches, ensuring business continuity and compliance with data protection regulations. In the US, the adoption of DPaaS is on the rise as businesses seek to enhance their IT infrastructure's security and scalability. DPaaS offers several benefits to organizations, including scalability, management, and recovery options. Scalability allows businesses to easily expand their data protection capabilities as they grow, while management simplifies the process of securing data through centralized control. Recovery options ensure that data can be quickly restored in the event of a cyberattack or data loss. Cloud storage is a critical component of DPaaS, providing organizations with secure, offsite data storage. DPaaS providers offer advanced security features, such as encryption, access controls, and intrusion detection, to protect data in the cloud. Data breaches and cyberattacks pose significant risks to organizations, leading to financial losses, reputational damage, and legal consequences.
Moreover, DPaaS helps mitigate these risks by providing strong security measures and real-time threat detection and response. DPaaS can be deployed in various modes, including public, private, and hybrid clouds. The choice of deployment mode depends on the organization's size and specific security requirements. Small and medium-sized businesses may prefer public cloud solutions, while larger enterprises may opt for private or hybrid clouds for enhanced security and control. DPaaS is applicable to various industry verticals, including healthcare, finance, retail, and education. These industries handle sensitive data and are subject to stringent data protection regulations. DPaaS providers offer paid databases with threat intelligence and compliance information to help organizations stay informed and comply with regulatory requirements. Next-Generation Technologies: DPaaS solutions leverage next-generation technologies, such as artificial intelligence (AI) and machine learning (ML), to provide advanced threat detection and response capabilities.
Additionally, these technologies enable DPaaS providers to quickly identify and respond to emerging threats, ensuring that organizations' data remains secure. IT Infrastructure Industry: The IT infrastructure industry is a significant contributor to the growth of the DPaaS market. DPaaS solutions offer businesses a cost-effective and efficient way to enhance their data security capabilities without the need for extensive IT resources or expertise. DPaaS is an essential solution for businesses looking to enhance their data security and ensure business continuity in the face of cyberattacks and data breaches. With its scalability, management, and recovery options, DPaaS offers organizations the flexibility and control they need to protect their data in the cloud. As data security becomes increasingly critical, the adoption of DPaaS is expected to continue growing in the US and beyond.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  STaaS
  BaaS
  DRaaS


Business Segment

  Large
  Small and medium


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  South America



  Middle East and Africa

By Application Insights

The STaaS segment is est

A dataset of all the meta-data for all of the datasets available through the data.gov.uk service. This is provided as a zipped CSV or JSON file. It is published nightly.

Updates: 27 Sep 2017: we've moved all the previous dumps to an S3 bucket at https://dgu-ckan-metadata-dumps.s3-eu-west-1.amazonaws.com/ - This link is now listed here as a data file.

From 13/10/16 we added .v2.jsonl dump, which is set to replace the .json dump (which will be discontinued after a 3 month transition). This is produced using 'ckanapi dump'. It provides an enhanced version of each dataset ('validated', or what you get from package_show in CKAN API v3 - the old json was the unvalidated version). This now includes full details of the organization the dataset is in, rather than just the owner_id. Plus it includes the results of the archival & qa for each dataset and resource, showing whether the link is broken, detected format and stars of openness. It also benefits from being json lines http://jsonlines.org/ format, so you don't need to load the whole thing into memory to parse the json - just a line at a time.

On 12/1/2015 the organizations of the CSV was changed:

• Before this date, each dataset was one line, and resources added as numbered columns. Since a dataset may have up to 300 resources, it ends up with 1025 columns, which is wider than many versions of Excel and Libreoffice will open. And the uncompressed size of 170Mb is more than most will deal with too. It is suggested you load it into a database, ahandle it with a python or ruby script, or use tools such as Refine or Google Fusion Tables.

• After this date, the datasets are provided in one CSV and resources in another. On occasions that you want to join them, you can join them using the (dataset) "Name" column. These are now manageable in spreadsheet software.

You can also use the standard CKAN API if you want to search or get a small section of the data. Please respect the traffic limits in the API: http://data.gov.uk/terms-and-conditions

Table summarising UK and USA funding body, and Australian institution, mandates for data management plans. Includes supporting links and statistics.Data were collected through searching the internet, including internet archives, for evidence of date of implementation of broad DMP mandate.Data were collected in August 2017.

An analysis of the University of Leicester Research Data Management Survey September 2015.