Archival Data Storage Market Outlook

The global archival data storage market size was valued at approximately USD 5 billion in 2023 and is projected to reach around USD 10 billion by 2032, growing at a CAGR of 8%. The growth of this market is driven by the increasing need for data preservation, compliance requirements, and the exponential growth of digital content across various industries.

One of the primary growth factors for the archival data storage market is the burgeoning volume of data generated by businesses and consumers alike. With the advent of the digital era, enterprises are creating and collecting massive amounts of data that must be stored securely for long periods. This data encompasses everything from customer records to legal documents and multimedia content. The necessity to store this data efficiently drives the demand for advanced archival solutions that ensure data integrity and accessibility over time. Additionally, regulatory standards and compliance mandates necessitate the retention of specific data types, further propelling market growth.

Another significant factor contributing to the market's expansion is the growing awareness of data security and disaster recovery. Organizations are increasingly recognizing the importance of protecting their data from potential threats, including cyberattacks, hardware failures, and natural disasters. Archival data storage solutions provide robust security features and redundancy measures that safeguard critical information, thus becoming an integral part of an organization's overall data management strategy. The heightened focus on data protection is encouraging investments in advanced storage technologies and services, thereby fueling market growth.

Moreover, technological advancements in storage media and infrastructure are also playing a crucial role in the market's growth. Innovations such as high-capacity magnetic tapes, advanced optical storage solutions, and solid-state drives (SSDs) are enhancing the efficiency and reliability of archival storage systems. These advancements are making it easier for organizations to scale their storage capabilities to meet growing data demands. The continuous development of storage technologies, coupled with decreasing costs, is expected to drive further adoption of archival storage solutions across various industry verticals.

From a regional perspective, North America is poised to dominate the archival data storage market, driven by the presence of numerous large enterprises and technological advancements in the region. The Asia Pacific region is also expected to witness significant growth due to the rapid digital transformation of businesses and increasing investments in data infrastructure. The growing need for data protection and compliance with regulatory standards in Europe further contributes to the market's expansion. Overall, the global archival data storage market is expected to exhibit robust growth across various regions, supported by technological advancements and increasing awareness of data management best practices.

Storage Type Analysis

Cloud storage is one of the most dynamic sub-segments within the archival data storage market. As businesses increasingly shift their operations to the digital realm, the demand for scalable and cost-effective storage solutions has surged. Cloud storage offers unparalleled flexibility, allowing organizations to scale their storage needs up or down based on demand. It also provides features such as remote access, disaster recovery, and data redundancy. These attributes make cloud storage an attractive option for enterprises looking to manage their archival data efficiently. The market is further propelled by the growing adoption of hybrid cloud models, where businesses leverage the benefits of both on-premises and cloud storage, ensuring better control and security over sensitive data.

On-premises storage remains a vital segment, particularly for industries requiring stringent data security and compliance. Financial institutions, healthcare providers, and government agencies often prefer on-premises storage solutions to maintain direct control over their data. These sectors deal with highly sensitive information that necessitates robust security measures, which on-premises storage can offer. Moreover, technological advancements in on-premises storage solutions, such as high-capacity magnetic tapes and advanced SSDs, are enhancing their efficiency and reliability. Despite the rise of cloud storage, the on-premises segment continues to hold significant market share due to its ability to meet spe

Discover the latest insights from Market Research Intellect's Archival Data Storage Market Report, valued at USD 5.5 billion in 2024, with significant growth projected to USD 10.2 billion by 2033 at a CAGR of 8.1% (2026-2033).

The global archival data storage market is experiencing robust growth, driven by the exponential increase in data generated across various sectors. The market, valued at approximately $25 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by several key factors, including the rising adoption of cloud-based solutions offering scalability and cost-effectiveness, stringent data compliance regulations necessitating long-term data retention, and the increasing demand for disaster recovery and business continuity solutions. The BFSI, healthcare, and government sectors are major contributors to market expansion, owing to their substantial data generation and stringent regulatory requirements for data archiving. Furthermore, technological advancements like advancements in storage technologies (like object storage and tape libraries) and improved data management tools are streamlining archival processes and boosting market adoption. The market segmentation reveals a strong preference for cloud-based solutions over on-premise deployments, reflecting the advantages of scalability, reduced infrastructure costs, and enhanced accessibility. While North America currently holds the largest market share, driven by early adoption and technological advancements, the Asia-Pacific region is poised for significant growth in the coming years due to increasing digitalization and data generation in rapidly developing economies like India and China. However, challenges such as data security concerns, the high initial investment associated with cloud migration, and the complexity of managing large-scale archival data remain potential restraints on market growth. Key players like Google, IBM, and Amazon Web Services are heavily investing in research and development to overcome these challenges and further solidify their market positions.

Archival data

Archival Descriptions from the National Archives Catalog data set provides archival descriptions of the permanent holdings of the federal government in the custody of the National Archives and Records administration. The archival descriptions include information on traditional paper holdings, logical data records (electronic records), and artifacts.

This database table contains the list German ROSAT All-Sky Survey observations which were obtained during the ROSAT All-Sky Survey phase (1990 July 30 to 1991 Jan 25) and which have become available to the public. These data were obtained in scanning mode and therefore an individual dataset covers a much larger area of the sky than do pointed moded observations. In addition all these data were obtained with PSPC-C, while all pointed mode observations after the end of the All-Sky Survey were obtained with PSPC-B. For each observation listed in this database table, the instrument used, processing site, and coordinates of the field center are given, as well as the ROSAT observation request number (ROR), actual exposure time, date the observation took place, and more. For details about the ROSAT instruments, consult the ROSAT Mission Description (NASA Research Announcement for ROSAT, Appendix F and its addendum) and the ROSAT GSFC GOF website at http://heasarc.gsfc.nasa.gov/docs/rosat/rosgof.html for more information. For more information about the ROSAT All Sky Survey, see the ROSAT All Sky Survey page at http://www.xray.mpe.mpg.de/cgi-bin/rosat/rosat-survey. This database table was created at the HEASARC in March 2002, based on information provided by Max-Planck-Institut fuer extraterrestrische Physik at http://wave.xray.mpe.mpg.de/. This is a service provided by NASA HEASARC .

Global Archival Data Storage market size 2025 was XX Million. Archival Data Storage Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

Data Archiving Software Market size was valued at USD 8.29 Billion in 2023 and is projected to reach USD 14.36 Billion by 2031, growing at a CAGR of 11.6% during the forecast period 2024-2031.

Global Data Archiving Software Market Drivers

The market drivers for the Data Archiving Software Market can be influenced by various factors. These may include:

Regulatory Compliance: Regulatory compliance is a significant driver in the data archiving software market due to the increasing number of laws and guidelines that mandate proper data management and retention. Organizations across various industries, such as finance, healthcare, and legal sectors, must adhere to stringent regulations like GDPR, HIPAA, and Sarbanes-Oxley. These regulations require businesses to maintain accurate records, make data easily accessible for audits, and protect sensitive information. Non-compliance can result in hefty fines and legal repercussions, thus creating a robust demand for data archiving solutions that facilitate regulatory adherence. Data archiving software offers features like tamper-proof storage, data encryption, audit trails, and compliance reporting, ensuring that organizations can meet regulatory standards effectively and efficiently. As regulations continue to evolve and become more complex, the need for sophisticated, reliable data archiving solutions will only increase, driving further growth in the market.

Data Growth: Exponential data growth is another crucial driver for the data archiving software market. With the proliferation of digital technologies, social media, IoT devices, and advanced analytics, the volume of data generated by organizations is skyrocketing. Managing this vast amount of data presents a significant challenge. Companies need efficient ways to store, organize, and retrieve data not only for operational needs but also for historical reference, legal requirements, and business analytics. Data archiving software helps organizations tackle this challenge by systematically storing infrequently accessed or inactive data, thereby freeing up primary storage systems and optimizing overall data management. The software ensures that archived data remains accessible and secure over time while also enabling organizations to meet long-term data retention policies. As data generation continues to accelerate, the demand for efficient data archiving solutions that can handle large volumes of diverse data types will continue to rise.

Cost Reduction: Cost reduction is a compelling driver in the adoption of data archiving software. Storing vast amounts of data on high-performance primary storage systems can be prohibitively expensive. Data archiving software allows organizations to move less frequently accessed data to more cost-effective, long-term storage solutions without compromising accessibility or data integrity. This process not only frees up valuable primary storage resources for more critical applications but also significantly reduces overall storage costs. Additionally, it helps minimize the need for frequent hardware upgrades and lowers data management overheads. By streamlining data storage and optimizing storage infrastructure, companies can achieve substantial savings while ensuring that valuable data is preserved and remains retrievable. In an economic environment where cost-efficiency is paramount, the financial benefits provided by data archiving solutions are a strong incentive for their adoption.

Disaster Recovery: Disaster recovery is a fundamental driver for the data archiving software market. Organizations must be prepared for unexpected events such as data breaches, natural disasters, or system failures that can result in data loss or corruption. Effective disaster recovery strategies require that critical data is stored in secure, redundant locations and can be quickly restored to maintain business continuity. Data archiving software plays a vital role in these strategies by ensuring that historical and essential data is preserved in a secure, off-site location, often in the cloud. This redundancy ensures that a copy of the organization’s valuable data is always available, facilitating quick recovery in the event of a disaster. The software’s ability to support regular backups, data integrity checks, and rapid restoration processes enhances an organization’s resilience against data loss incidents. With increasing threats to data from both cyber-attacks and environmental factors, robust disaster recovery capabilities are becoming a top priority, driving the need for advanced data archiving solutions.

Data Management and Analytics: Enhanced data management and analytics capabilities for historical data. Cloud Adoption: Growing adoption of cloud-based archiving solutions for scalability and flexibility. Technological Advancements: Advancements in data archiving technologies and integration capabilities

This database table contains the list of all Röntgen Satellite (ROSAT) X-Ray Telescope (XRT) pointing-mode observations for which data sets are available, i.e., it excludes the ROSAT All-Sky Survey observations. Users should consult the RASSMASTER database table for those XRT observations which were made in scanning mode during the ROSAT All-Sky Survey (RASS) phase (30 July 1990 to 25 January 1991, and 3 August 1991 to 13 August 1991). For each observation listed in this table, parameters such as the focal-plane instrument used, the data processing site, and the target name and coordinates are given, as well as the ROSAT Observation Request (ROR) number, the actual and requested exposure times, the date(s) on which the observation took place, etc. For details about the ROSAT instruments, consult the ROSAT Guest Observer Facility (GOF) website at https://heasarc.gsfc.nasa.gov/docs/rosat/. A list of the available online ROSAT documentation can be found at https://heasarc.gsfc.nasa.gov/docs/rosat/rosdocs.html. This table was created by the HEASARC in July 2004 by combining the data from two long-standing HEASARC Browse tables into one master table. It was updated by the HEASARC in March 2022 to add start and end times for the 157 sequence IDs which did not already have start and end times. This is a service provided by NASA HEASARC .

In 2023, the information archiving market was worth nearly eight billion U.S. dollars globally. The enterprise information archiving market can be segregated into different verticals, such as banking, financial services, government, defense, education, research, healthcare, manufacturing, media and entertainment, IT, insurance, and others. The adoption of enterprise information archiving solutions utilizes benefits such as improving enterprise efficiency. Growth within this market can be attributed to an increase of data use across organizations.

Health Data Archiving Market size is expected to be worth around USD 3.4 Billion by 2033 from USD 1.4 Billion in 2023

Open access and open data are becoming more prominent on the global research agenda. Funders are increasingly requiring grantees to deposit their raw research data in appropriate public archives or stores in order to facilitate the validation of results and further work by other researchers.

While the rise of open access has fundamentally changed the academic publishing landscape, the policies around data are reigniting the conversation around what universities can and should be doing to protect the assets generated at their institution. The main difference between an open access and open data policy is that there is not already a precedent or status quo of how academia deals with the dissemination of research that is not in the form of a traditional ‘paper’ publication.

As governments and funders of research see the benefit of open content, the creation of recommendations, mandates and enforcement of mandates are coming thick and fast.

Digital objects are used to link born-digital or digitized content of archival collections. The data is collected from an archival management or archival preservation system. The data can be used to assess the extent of digitized content of archival collections. Digital Collections can also be accessed at https://a860-collectionguides.nyc.gov/.

The stream corridor at the Big Spring Run restoration site has been identified as a substantial source of sediment and nutrients to streams due to streambank erosion and floodplain scour of legacy sediment. Three USGS streamgages were installed and water-quality monitoring began in water year 2009, prior to the legacy sediment removal from the restoration area. The legacy sediment was removed from approximately 4.6 acres within the Big Spring Run study area in the fall of 2011. Monitoring has continued in the post-restoration period. This study was conducted in cooperation with the Pennsylvania Department of Environmental Protection, Franklin and Marshall College, and the US Environmental Protection Agency and examines the effects of the legacy sediment removal on nutrients and sediment during the post-restoration monitoring period (Water Years 2012-2015) compared to the pre-restoration monitoring period (Water Years 2009-2011) in the Big Spring Run watershed. The content and connection among files in this product are described in the readme file.

The use of archival sources is understood to be an important tool research tool, but the problems involved have rarely been distinguished from the broader difficulties of interpreting qualitative sources. Attempts to use archival material for hypothesis testing, as opposed to description or theory development, are confounded by the large size and often opaque structure of archives; factors which lead to misinterpretations of evidence and a tendency to confirm the author's expectations. This paper discusses common features of archival materials, shows how they can compound traditional research design problems. It then proposes a set of best practices for avoiding these problems, most notably the use of strong and explicit sampling procedures. These practices are illustrated using a brief discussion of material from the National Archives of India on the 1975 Emergency.

The learning objectives of the presentation are to understand the role and tasks of a data archivist, long-term sustainability of data, and preferred file formats. A trainer should plan at least 15 minutes to cover the presentation. This material is most suitable for train-the-trainer events. Therefore, we encourage reuse and adaptation of the material to suit your specific training needs. This material is part of the FAIRsFAIR-CODATA-RDA Data Steward Training. FAIRsFAIR-CODATA-RDA Data Steward Training is part of the FAIRsFAIR Initiative (https://fairsfair.eu). The project addresses the development and concrete realisation of an overall knowledge infrastructure on academic quality data management, procedures, standards, metrics and related matters based on the FAIR principles. One of its goals is to develop and provide a series of schools in this area and hence FAIRsFAIR is partnering with the CODATA-RDA schools to deliver training along the lines described above. The goal of the training series is to equip data stewards with the foundational skills they will need to enable FAIR data practices.

Many organizations need to preserve data changes over time so that time-sensitive queries can be applied. Multiuser geodatabase archiving gives organizations a way to store such changes over time, without negatively impacting versioning workflows. When data changes occur over time, these changes can be archived by posting updates to the DEFAULT version.After completing this course, you will be able to:Differentiate between transactional and historical versions.Describe the architecture of an archive class.Enable archiving in a versioning workflow.Manage archived data with basic editing workflows.Disable archiving.

This dataset contains data and software for the following paper: Hill, Benjamin Mako and Shaw, Aaron. (2015) “Page Protection: Another Missing Dimension of Wikipedia Research.” In Proceedings of the 11th International Symposium on Open Collaboration (OpenSym 2015). ACM Press. doi: 10.1145/2788993.2789846 This is an archival version of the data and software released with the paper. All of these data were (and, at the time of writing, continue to be) hosted at: https://communitydata.cc/wiki-proetection/ Page protection is a feature of MediaWiki software that allows administrators to restrict contributions to particular pages. For example, a page can be “protected” so that only administrators or logged-in editors with a history of good editing can edit, move, or create it. Protection might involve “full protection” where a page can only be edited by administrators (i.e., “sysops”) or “semi-protection” where a page can only be edited by accounts with a history of good edits (i.e., “autoconfirmed” users). Although largely hidden, page protection profoundly shapes activity on the site. For example, page protection is an important tool used to manage access and participation in situations where vandalism or interpersonal conflict can threaten to undermine content quality. While protection affects only a small portion of pages in English Wikipedia, many of the most highly viewed pages are protected. For example, the “Main Page” in English Wikipedia has been protected since February, 2006 and all Featured Articles are protected at the time they appear on the site’s main page. Millions of viewers may never edit Wikipedia because they never see an edit button. Despite it's widespread and influential nature, very little quantitative research on Wikipedia has taken page protection into account systematically. This page contains software and data to help Wikipedia researchers do exactly this in their work. Because a page's protection status can change over time, the snapshots of page protection data stored by Wikimedia and published by Wikimedia Foundation in as dumps is incomplete. As a result, taking protection into account involves looking at several different sources of data. Much more detail can be found in our paper Page Protection: Another Missing Dimension of Wikipedia Research. If you use this software or these data, we would appreciate if you cite the paper.

The service delivers information about lightning discharges in Sweden. Discharge data has been calculated by a lightning information computational server based on observations made by automatic lightning localisation sensors. The Lightning locating system records separate discharges (en.g. “stroke”). What we humans perceive as a lightning. “flash”) may consist of multiple discharges. Discharges with “chi square” >= 10.0 have been excluded from the data set for quality reasons. Note that these data contain some uncertainty and should therefore be used with caution for statistical processing. Data are not homogeneous over time as the lightning localisation system is constantly changing and improving. For example, sensors can be upgraded or system configuration changed. In 2014, SMHI changed the calculation server in the lightning localisation system. Archived discharge data are based on calculations with the previous calculation server (LP2000) up to and including 2014-03-25, then data is based on the current computational server (TLP). This means that, from this point in time, data are not directly comparable with older data. The information delivered is based on the UALF format (Universal ASCII Lightning Format). The 25 fields delivered for each discharge are described in tabular form in the API documentation here: https://opendata.smhi.se/apidocs/lightning/parameters.html

Dataset that collects tweets between December 10th and December 14th in 2018 with Twarc. Twarc is a tool by Documenting the Now: http://www.docnow.io/#tools

The Municipal Archives Laboratory is a biennial event that was created in 2000 and has been consolidated as the professional day of municipal archivists and archivists, organized by the Generalitat de Catalunya, the Diputació de Barcelona, the Town Council of Barcelona and the Association of Archivists-Document Managers of Catalonia. On December 11th, the 10th edition was held, entitled "The data revolution", which took place at the CaixaFòrum in Barcelona.

El 10è Laboratori d’Arxius Municipals: l’11 de desembre al CaixaForum de Barcelona - arxivers https://arxivers.com/el-10e-laboratori-darxius-municipals-l11-de-desembre-al-caixaforum-de-barcelona/

S'acosta el 10è Laboratori d'Arxius Municipals | Comunitat de la Xarxa d'Arxius Municipals http://xam.diba.cat/news/2018/10/31/sacosta-10e-laboratori-darxius-municipals

El Laboratori d’Arxius Municipals arriba a les dues xifres - Arxivers la DaDa http://arxivers.com/ladada/el-laboratori-darxius-municipals-arriba-a-les-dues-xifres/

Ja tenim el tríptic-programa del 10è Laboratori d'Arxius Municipals | Comunitat de la Xarxa d'Arxius Municipals http://xam.diba.cat/news/2018/11/23/ja-tenim-triptic-programa-del-10e-laboratori-darxius-municipals

Hashtags: #10LAM Dates: 2018.12.10-2018.12.14 Number of Tweets: 805 Size (Hydrated): 4,58 megabytes