Over half of the surveyed companies list increasing security and improving efficiency as main drivers for the modernization of their legacy applications and data in 2023. Cost reduction, better integration with modern technologies and increased agility and flexibility are not far behind, being mentioned by nearly 50 percent of the respondents as well. Although regulatory compliance was the least popular driver in the list, it has been claimed as driver for nearly 20 percent of the surveyed companies.

About 34 percent of real estate firms had mostly converted to modernized systems, according to a 2023 survey among 750 CFOs at major companies worldwide. Additionally, five percent had fully modernized core systems that could easily incorporate emerging digital technologies. Conversely, four percent shared that they were dependent on legacy systems that have difficulty interfacing with emerging digital technologies.

The Enforcement and Compliance History Online (ECHO) data sets have been compiled for access to larger sets of national data to ensure that ECHO meets your data retrieval needs: data from the Air Facility System (AFS) Data Set for Clean Air Act stationary sources previous to October 17, 2014.

The statistic shows the sense of security that American IT professionals have in cloud computing services, compared to legacy systems, according to a Clutch.co survey conducted in December 2015. As of December 2015, 64 percent of respondents rated cloud infrastructure as somewhat or much more secure than legacy systems.

The backend data store for the National Disability Determination Service System (NDDSS). This data is rolled up from the data collected by the DDS legacy systems (IronData, MIDAS, Nebraska and NY systems).

Crime incident reports are provided by Boston Police Department (BPD) to document the initial details surrounding an incident to which BPD officers respond. This is a dataset containing records from a legacy crime incident report system, which includes multiple fields capturing when, where, and how the incident occurred, as well as who was involved. The records span from July 2012 to August of 2015.

Legacy management information system for Title XVI initial claims.

LCIA and LCC data for legacy and updated systems under various scenarios. This dataset is associated with the following publication: Morelli, B., S. Cashman, C. Ma, J. Garland, J. Turgeon, L. Fillmore, D. Bless, and M. Nye. Effect of Nutrient Removal and Resource Recovery on Life Cycle Cost and Environmental Impacts of a Small Scale Water Resource Recovery Facility. Sustainability. MDPI AG, Basel, SWITZERLAND, 10(10): 1-19, (2018).

Geospatial Environmental Mapping System (GEMS) provides geospatial layers and access to dynamic mapping and environmental monitoring data for LM sites. Analytical chemistry data, groundwater depths and elevations, well logs, well construction data, georeferenced boundaries, sampling locations and photo's are available via GEMS.

System Operation and Analysis at Remote Sites (SOARS) used by LM scientists, regulators and stakeholders; providing real-time data for evaluating progress of groundwater remediation at distant project sites. Data collected from flow meters, water level meters, pressure sensors, unsaturated zone water-flux meters, moisture sensors, water quality instruments and meterological instruments.

***On September 15, 2017, the City-Parish switched to a new system to track all purchase order processing. This dataset contains data through 9/14/2017. For data from 9/15/2017 onward visit: https://data.brla.gov/Government/Purchase-Orders-and-Contracts/2ung-w7t4 Listing of all purchase orders issued to procure goods and/or services within City-Parish. In the City-Parish Purchasing system, a purchase order (PO) is made up of two components: a header and one or many detail items that comprise the overarching PO. The header contains information that pertains to the entire PO. This includes, but is not limited to, the total amount of the PO, the department requesting the purchase and the vendor providing the goods or services. The detail item(s) contain information that is specific to the individual item ordered or service procured through the Purchase Order. The item/service description, item/service quantity and the cost of the item is located within the Purchase Order details. There may be one or many detail items on an individual Purchase Order. For example, a Purchase Order for a computer equipment may include three items: the computer, the monitor and the base software package. Both header information and detail item information are included in this dataset in order to provide a comprehensive view of the purchase order data. The Record Type field indicates whether the record is a header record (H) or detail item record (D). In the computer purchase example from above, the system would display 4 records – one header record and 3 detail item records. It should be noted header information will be duplicated on all detail items. No detail item information will be displayed on the header record.

SSA-831 file is a collection of initial and reconsideration adjudicative level DDS disability determinations. (A few hearing level cases are also present, but the SSA-831 should not be considered the main repository for this data.)These determinations are processed by the DDS's legacy systems and passed to the NDDSS.

The Public Safety Records Management System (RMS) market is experiencing robust growth, driven by the increasing need for efficient data management and improved interoperability within law enforcement agencies. The market's expansion is fueled by the escalating volume of data generated by various public safety departments, coupled with the imperative for enhanced security and streamlined workflows. Technological advancements, such as cloud-based solutions and AI-powered analytics, are further propelling market expansion. Integration with other public safety systems, such as Computer-aided Dispatch (CAD) and Jail Management Systems (JMS), is also a significant driver, enabling seamless information sharing and collaboration across agencies. While precise market size data is unavailable, considering the substantial investments in public safety technology and the projected growth in related sectors, a reasonable estimate for the 2025 market size could be around $3 billion USD. Assuming a conservative Compound Annual Growth Rate (CAGR) of 8% over the forecast period (2025-2033), the market is poised to reach approximately $6 billion USD by 2033. This growth, however, could be tempered by challenges such as data security concerns, the complexity of integrating legacy systems, and budgetary constraints faced by some public safety organizations. The competitive landscape is characterized by a mix of established players and emerging technology providers. Major vendors like IBM, Motorola Solutions, and Axon are leveraging their existing market presence and technological capabilities to offer comprehensive RMS solutions. Smaller companies are focusing on niche applications and innovative features, fostering healthy competition and driving innovation. Regional variations in technology adoption and regulatory frameworks influence market penetration. North America is expected to remain the largest market segment due to its advanced technological infrastructure and significant investments in public safety. However, substantial growth opportunities exist in developing regions like Asia-Pacific and the Middle East & Africa as these regions prioritize modernization of their public safety systems. Overall, the Public Safety RMS market is poised for continued expansion driven by a compelling mix of technological advancements, regulatory pressures, and the critical need for improved efficiency and interoperability within public safety organizations.

According to Cognitive Market Research, the global Structured Data Archiving And Application Retirement Market size is USD 6848.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 9.80% from 2024 to 2031.

North America held the major market, accounting for more than 40% of global revenue. With a market size of USD 2739.28 million in 2024, it will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 2054.46 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 1575.09 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.8% from 2024 to 2031.
The Latin American market will account for more than 5% of global revenue and have a market size of USD 342.41 million in 2024. It will grow at a compound annual growth rate (CAGR) of 9.2% from 2024 to 2031.
The Middle East and Africa held the major markets, accounting for around 2% of the global revenue. The market was USD 136.96 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.5% from 2024 to 2031.
The Cloud-based held the highest Structured Data Archiving And Application Retirement Market revenue share in 2024.

Market Dynamics of Structured Data Archiving And Application Retirement Market

Key Drivers for Structured Data Archiving And Application Retirement Market

Data Lifecycle Management to Increase the Demand Globally

Data Lifecycle Management (DLM) is poised to significantly increase the demand for structured data archiving and application retirement solutions globally. As organizations grapple with unprecedented volumes of data generated from various sources, the need to effectively manage the entire lifecycle of this data becomes paramount. DLM encompasses processes for data creation, storage, utilization, archiving, and retirement, ensuring that data is managed efficiently from inception to disposition. With regulatory requirements becoming more stringent and data governance practices evolving, organizations are increasingly turning to DLM solutions to ensure compliance, mitigate risks, and optimize resource utilization.

Data Accessibility and Retrieval to Propel Market Growth

Data accessibility and retrieval are poised to drive significant market growth in the structured data archiving and application retirement sector. As organizations accumulate vast amounts of data, ensuring easy access to historical information becomes crucial for decision-making, compliance, and analytics purposes. Structured data archiving solutions provide mechanisms for efficient data retrieval, allowing organizations to access archived data quickly and securely whenever needed. Moreover, with increasing regulatory requirements and the growing importance of data-driven insights, the ability to retrieve and analyze archived data becomes essential for maintaining compliance and gaining competitive advantages. As organizations prioritize data accessibility and retrieval capabilities, the demand for structured data archiving and application retirement solutions is expected to surge.

Restraint Factor for the Structured Data Archiving And Application Retirement Market

Complexity of Legacy Systems to Limit the Sales

The complexity of legacy systems presents a significant challenge that may limit sales in the structured data archiving and application retirement market. Legacy systems often feature outdated technology, proprietary formats, and intricate interdependencies, making the process of data archiving and retirement complex and costly. Organizations may hesitate to invest in solutions due to concerns about compatibility, data integrity, and the potential disruption to existing operations. Moreover, the longer migration times and higher implementation costs associated with legacy systems can deter organizations from adopting structured data archiving and retirement solutions, particularly when considering the perceived risks and uncertainties involved.

Impact of Covid-19 on the Structured Data Archiving And Application Retirement Market

The Covid-19 pandemic has had a mixed impact on the Structured Data Archiving And Application Retirement Market. While the initial phases of the pandemic led to uncertainties and budget constraints for many organizations, prompting them to defer non-essential IT projects, the crisis also underscored the impor...

For IT staff and IT security leaders worldwide, the most important barrier to adopting passwordless authentication was that legacy systems and applications did not support the technology. By contrast, the main obstacle for non-IT security leaders when implementing passwordless authentication in 2022 was that they were satisfied with their current password authentication process.

Analysis of ‘Legacy Purchase Orders’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5f1dba0c-f219-4c39-a35a-439d37fb1bac on 12 February 2022.

--- Dataset description provided by original source is as follows ---

***On September 15, 2017, the City-Parish switched to a new system to track all purchase order processing. This dataset contains data through 9/14/2017. For data from 9/15/2017 onward visit: https://data.brla.gov/Government/Purchase-Orders-and-Contracts/2ung-w7t4

Listing of all purchase orders issued to procure goods and/or services within City-Parish.

In the City-Parish Purchasing system, a purchase order (PO) is made up of two components: a header and one or many detail items that comprise the overarching PO. The header contains information that pertains to the entire PO. This includes, but is not limited to, the total amount of the PO, the department requesting the purchase and the vendor providing the goods or services. The detail item(s) contain information that is specific to the individual item ordered or service procured through the Purchase Order. The item/service description, item/service quantity and the cost of the item is located within the Purchase Order details. There may be one or many detail items on an individual Purchase Order. For example, a Purchase Order for a computer equipment may include three items: the computer, the monitor and the base software package.

Both header information and detail item information are included in this dataset in order to provide a comprehensive view of the purchase order data. The Record Type field indicates whether the record is a header record (H) or detail item record (D). In the computer purchase example from above, the system would display 4 records – one header record and 3 detail item records.

It should be noted header information will be duplicated on all detail items. No detail item information will be displayed on the header record.

--- Original source retains full ownership of the source dataset ---

Contracts and modifications awarded by the City of Chicago since 1993. This data is currently maintained in the City’s Financial Management and Purchasing System (FMPS), which is used throughout the City for contract management and payment. Legacy System Records: Purchase Order/Contract Numbers that begin with alpha characters identify records imported from legacy systems. Records with a null value in the Contract Type field were imported from legacy systems. "Comptroller-Other" Contract Type: Some records where the Contract Type is "COMPTROLLER-OTHER" are ordinance-based agreements and may have start dates earlier than 1993. Depends Upon Requirements Contracts: If the contract Award Amount is $0, the contract is not cancelled, and the contract is a blanket contract, then the contract award total Depends Upon Requirements. A Depends Upon Requirements contract is an indefinite quantities contract in which the City places orders as needed and the vendor is not guaranteed any particular contract award amount.

Blanket vs. Standard Contracts: Only blanket contracts (contracts for repeated purchases) have FMPS end dates. Standard contracts (for example, construction contracts) terminate upon completion and acceptance of all deliverables. These dates are tracked outside of FMPS.

Negative Modifications: Some contracts are modified to delete scope and money from a contract. These reductions are indicated by negative numbers in the Award Amount field of this dataset.

Data Owner: Procurement Services. Time Period: 1993 to present. Frequency: Data is updated daily.

In the summer of 2024, the District of Columbia migrated its FOIA records management to a new system. This dataset houses the archived Freedom of Information Act (FOIA) requests to DC Government by various organizations and individuals -received beginning September 2, 2014 through June 14, 2024. FOIA request that did not close prior to June 14, 2024 were migrated to the new system in July 2024. Their original dates and status remain the same within this archive. Updated information for any outstanding migrated FOIA requests can be cross-referenced in the FOIA Legacy Crossover dataset that is also found on Open Data DC.

Approvals for permits, maps, agreements, and other applications processed by Development Services Department’s current cloud-based permitting system. Approval types began migrating to the current system in 2018. Data from the legacy system can be found in this dataset. A permit is required for projects such as new construction, additions, remodeling, or repairs to electrical, mechanical, and plumbing systems. A full list of the available record types is available within the metadata.