Service Oriented Architecture (SOA) Market Outlook

The global Service Oriented Architecture (SOA) market size is projected to grow from $X billion in 2023 to $Y billion by 2032, at a CAGR of Z%. The driving factors behind this robust growth include the increasing adoption of cloud services, the growing demand for agility and scalability in business operations, and the continuous advancements in IT infrastructure.

One of the primary growth drivers of the SOA market is the rising adoption of cloud-based solutions. Businesses across various sectors are increasingly migrating their operations to the cloud to benefit from its scalability, cost-efficiency, and flexibility. SOA plays a crucial role in enabling seamless integration of diverse cloud services, facilitating smooth business processes, and increasing operational efficiency. The interoperability provided by SOA is also essential for businesses looking to leverage multiple cloud environments, thus further driving market growth.

Another significant growth factor is the need for enhanced agility and responsiveness in business operations. In today's fast-paced business environment, organizations must quickly adapt to changing market conditions and customer demands. SOA allows businesses to create modular, reusable services that can be easily reconfigured to meet new requirements. This helps organizations respond more swiftly to market changes, launch new products faster, and improve overall customer satisfaction, thereby contributing to the SOA market's expansion.

The continuous advancements in IT infrastructure and the increasing complexity of enterprise IT environments are also propelling the SOA market forward. As businesses grow, their IT systems become more intricate, requiring efficient integration and management of various applications, databases, and services. SOA provides a robust framework for managing these complexities, enabling seamless communication and data exchange between different systems. This capability is crucial for large enterprises with extensive IT ecosystems, thereby driving the demand for SOA solutions.

Regionally, North America dominates the SOA market due to its advanced IT infrastructure, high adoption of cloud services, and the presence of major technology players. Europe follows closely, with significant growth driven by digital transformation initiatives and increasing investments in IT modernization. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by the rapid digitalization of economies, the growing number of SMEs, and the rising demand for cloud-based solutions. Latin America and the Middle East & Africa are also showing promising growth prospects, driven by increasing IT investments and government initiatives to promote digital transformation.

Component Analysis

The components of the SOA market are broadly categorized into software, hardware, and services. The software segment is the backbone of SOA, encompassing various platforms and tools required for developing, deploying, and managing SOA applications. This includes middleware, integration software, and development tools that facilitate the creation of modular services and their seamless integration into business processes. The continuous evolution of software technologies, such as microservices architecture and containerization, is driving the innovation and adoption of SOA software solutions, thus contributing significantly to market growth.

Hardware components, though a smaller segment compared to software and services, play a critical role in supporting SOA applications. This includes servers, storage devices, and networking equipment required to host and manage SOA environments. With the increasing adoption of cloud-based SOA solutions, the demand for on-premises hardware may see a relative decline. However, in sectors with stringent data privacy and security requirements, such as BFSI and healthcare, the demand for robust and secure hardware solutions remains strong. This ensures that the hardware segment continues to contribute to the overall SOA market.

The services segment encompasses a wide range of offerings, including consulting, implementation, integration, and maintenance services. Consulting services help organizations understand the benefits of SOA and develop a strategic roadmap for its implementation. Implementation and integration services ensure the seamless deployment and integration of SOA solutions into existing IT environments. Maintenance services provide ongoing support to ensure the opt

Supporting data for CRACMMv1, including the SPECIATE database mapped to CRACMM, input to the Speciation Tool, profile files output from Speciation Tool for input to SMOKE, python code for mapping species to CRACMM, chemical mechanism, and mechanism metadata is available at https://github.com/USEPA/CRACMM. Specific analyses and scripts used in the manuscript "Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 1.0" such as the 2017 U.S. species-level inventory and code for figures is available here.

The Services Oriented Architecture (SOA) Middleware market is experiencing robust growth, driven by the increasing need for flexible, scalable, and interoperable IT systems across diverse industries. While precise market size figures for 2025 are unavailable, considering the growth trajectory of related technologies and the sustained demand for SOA solutions, a reasonable estimate places the market value at approximately $15 billion in 2025. This market is projected to experience a Compound Annual Growth Rate (CAGR) of 8% between 2025 and 2033, indicating continued expansion and adoption of SOA middleware. Key drivers include the need for improved application integration, enhanced business agility through microservices architectures, and the rise of cloud computing, which often relies on SOA principles for efficient resource management and deployment. The market is fragmented, with a range of established players including IBM, Oracle, SAP, and Microsoft, alongside smaller, specialized vendors. Trends such as the adoption of API management tools, increased focus on security and governance within SOA deployments, and the exploration of serverless architectures are shaping the future of this market. However, certain factors restrain the market's growth. The complexity associated with SOA implementation and the need for specialized expertise can present challenges for organizations with limited resources or technical capabilities. Furthermore, the legacy systems prevalent in many businesses require significant investment in modernization and integration efforts before effective SOA implementation can be achieved. Despite these challenges, the long-term prospects for SOA Middleware remain positive, fuelled by the ongoing digital transformation initiatives undertaken by businesses across the globe. The shift toward cloud-native architectures and the continued adoption of microservices will further propel growth in the coming years. Organizations are increasingly recognizing the value proposition of SOA in terms of cost savings, enhanced efficiency, and improved business process automation.

The Software Architecture Analysis market is experiencing robust growth, driven by the increasing complexity of software systems and the rising need for efficient and secure applications. The market's expansion is fueled by several key factors. Firstly, the proliferation of cloud-native applications and microservices architectures necessitates thorough analysis to ensure scalability, maintainability, and security. Secondly, the growing adoption of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines emphasizes the importance of understanding software architecture to streamline development and deployment processes. Thirdly, regulatory compliance mandates, especially in sectors like finance and healthcare, require stringent scrutiny of software architecture to meet security and data privacy standards. Finally, the rise of AI and machine learning further complicates software systems, increasing the demand for sophisticated analysis tools and expertise. We estimate the 2025 market size to be around $2.5 billion, considering typical growth rates in related software sectors and the observed adoption trends. A conservative CAGR of 15% over the forecast period (2025-2033) is projected, reflecting the continued maturation of the market and potential for market consolidation. The market segmentation reveals significant opportunities across various application areas. The enterprise segment holds the largest share, driven by large organizations' need for robust software systems to support their critical business operations. The municipal sector shows promising growth potential, fueled by increasing government investments in digital infrastructure and smart city initiatives. Regarding architectural types, distributed architectures are witnessing the highest adoption, reflecting the industry's shift towards microservices and cloud-native deployments. While monolithic architectures still hold a sizable share, this is expected to gradually decline as organizations adopt more flexible and scalable architectures. Competitive intensity is high, with established players and emerging startups vying for market share. Strategic partnerships, acquisitions, and continuous innovation in analysis technologies will shape the market landscape in the coming years. Geographical expansion into emerging economies, particularly in Asia-Pacific, presents significant growth opportunities.

Abstract Introduction Brazilian Telehealth Program was instituted by the Ministry of Health in 2007. Its initial structure was composed by nine telehealth centers administered by public higher education institutions. No standards, processes, applications or quality indicators had been defined since its creation. All this, combined with the decentralization of the centers, led each one of them to develop their own system, with different programming languages and architectures. The lack of regulation and integration of the information with the Ministry of Health made it difficult to evaluate the program. In this context, this paper describes the specification, implementation and validation of an architecture, entitled SMART, to integrate the various telehealth platforms developed by the centers. Such architecture aims to standardize information so that the Ministry of Health can monitor and evaluate the results of Telehealth actions. Methods SMART’s architecture consists of four main components: a web tool for data manipulation; a web service to receive the center’s production data; a component responsible for converting the received data into decision support data; and a component that collects data from external sources to compose the data warehouse. Results The architecture was validated with performance tests, which were executed under extreme workloads. The results of the experiments were summarized in order to attest SMART’s effectiveness. Conclusion The analysis of the results obtained on real data shows that the project’s performance remained stable under the workloads and its high quality was proven due to the absence of errors during the experiments.

Screenshot of the Alaska data acquisition plan dashboard, this image will be used in a gallery card on the website: https://agc-coastal-soa-dnr.hub.arcgis.com/ & link to the Alaska Partner Finding Tool Alaska Partner Finding tool uses IOCM spatial priorities study results to inform users of potential collaborators for ocean and coastal mapping priorities

The Software Architecture Analysis market is experiencing robust growth, driven by the increasing complexity of software systems and the rising demand for secure and efficient applications. The market, valued at approximately $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. The shift towards microservices and cloud-native architectures necessitates sophisticated analysis tools to manage dependencies, identify vulnerabilities, and ensure overall system health. Furthermore, stringent regulatory compliance requirements in industries like finance and healthcare are driving the adoption of robust software architecture analysis solutions to mitigate risks and ensure data security. The growing adoption of DevOps and Agile methodologies also contributes to market growth, as these practices necessitate continuous monitoring and analysis of software architecture throughout the development lifecycle. The market is segmented by architecture type (Distributed, SOA, Monolithic) and application (Enterprise, Municipal), with the enterprise segment currently dominating due to its higher adoption of advanced technologies and greater budget allocation for software development and security. The competitive landscape is marked by a mix of established players and emerging innovators. Major vendors like Synopsys, Broadcom, and Sonatype are leveraging their existing expertise in software security and development tools to expand their offerings in the architecture analysis space. Meanwhile, smaller companies are focusing on niche areas, such as specific architectural styles or integration with DevOps pipelines. Geographic distribution reveals a strong presence in North America and Europe, reflecting the high concentration of technology companies and a greater awareness of software security risks. However, the Asia-Pacific region is poised for rapid growth, driven by increasing digitalization and a growing demand for robust software solutions. The market's future trajectory will be influenced by technological advancements like AI-powered analysis tools, the expanding adoption of cloud computing, and the evolving needs of different industries. Maintaining a competitive edge requires vendors to continuously innovate and adapt to the changing needs of the market.

Continuous flash suppression (CFS) has become a popular tool for studying unconscious processing, but the level at which unconscious processing of visual stimuli occurs under CFS is not clear. Response priming is a robust and well-understood phenomenon, in which the prime stimulus facilitates overt responses to targets if the prime and target are associated with the same response. We used CFS to study unconscious response priming of shape: arrows with left or right orientation served as primes and targets. The prime was presented near the limen of consciousness and each trial was followed by subjective rating of visibility and a forced-choice response concerning the orientation of the prime in counterbalanced order. In trials without any reported awareness of the presence of the prime, discrimination of the prime’s orientation was at chance level. However, priming was elicited in such unconscious trials. Unconscious priming was not influenced by the prime-target onset-asynchrony (SOA)/prime duration, whereas conscious processing, as indicated by the enhanced discriminability of the prime’s orientation and conscious priming, increased at the longest SOAs/prime durations. These results show that conscious and unconscious processes can be dissociated with CFS and that CFS-masking does not completely suppress unconscious visual processing of shape.

Contract variances complicate academic medical center accounts receivables because they are one driver of ambiguity when calculating future free cash flows FFCF [1].

UC Health provides leadership and strategic direction for UC's five academic medical centers and 18 health professional schools. Contract variations within 1 (one) medical center has a multiplier effect in the consolidated annual financial reporting.

In December 2017 we created an internal project charter [2] to consolidate contracts financial accounts receivables activity (including system optimisation) within a revenue cycle operations department. Importantly, this project charter integrated managed care contracts built is a second Epic application (Tapestry). Prior to this, information technology IT staff made systems changes (in the Resolute application only). This work was driven by direct communications from the contract negotiation functions at UCSD Health.

In April 2018, we started a collaboration with the University of California San Francisco Medical Center.

At the highest level, the collaboration was intended to address a fragmented finance and contracts management landscape built up over time. These campuses share an electronic medical records system (Epic) which benefits from standardised exchanges of contract language and data structure definitions.

By itself, executed contracts and several of the Epic recommended design and contracts management tools can be inadequate in terms of language, content, medium, and design.

Operational challenges created by incomplete contracts specifications, long cycle times and poor 'fit' between the data and the build almost always add to aggravated operational issues. Rather than enablers of business success, contracts become obstacles [3].

Our collaboration has four main purposes:

First

to resolve or at least alleviate the problems of dysfunctional contract communication.

Second

to enable the exchange of pertinent, solution oriented legal, data and analytic information among different UC medical center revenue cycle organisations.

Third

to intensify and expand efforts to simplifying contracts, especially in fundamental areas like naming, ordering and sharing test data.

Fourth

to raise awareness that simplifying contracts and pre and post contract data might prompt a new cluster for applied intra- and interdisciplinary research for reducing cash expenses from fixed and variable costs in time CE.

References

1

Grzegorz M 11 2008. A portfolio management approach in accounts receivable management. Journal South East European Journal of Economics and Business, Vol. 3, No. 2, pp. 89-96. DOI: 10.2478/v10033-008-0018-4

2

Ahl S, Felker C and Thurman P 12 2017. UCSD Health internal document. Hospital, Professional, Managed Care contract performance operational lead re location to revenue cycle patient financial services / Hospital, Professional, Managed Care contract contract maintenance setup and support / Contract maintenance co operative strategy with other UC medical centers .

This is identified in a consolidated revenue cycle data catalog

3

Swiss Re Centre for Global Dialogue 2016. International conference on contract simplification. <http://bit.ly/2GvLqOK>. See especially, Kilgour S and Unsworth R. Swiss Re Managing the complexity: text mining analytics. <http://bit.ly/2uIqChP> last accesed 2018 04 03.

UC San Diego Health converts its contracts into Oasis Legal XML [4]. This conversion yields important analytic and information governance results.

We adopted a (Epic) system capable naming convention for the data structure. We developed a brief Adobe Spark on the job training manual, a data catalog for the individual contracts and lines. We hope to make this a sharable UC standard available to all UC medical center campus partners (here on Dash).

Certain features in JMP 13 are very useful for exploring this unstructured text data. JMP Pro 13 helps cluster terms and phrases and use text in predictive models. Some of the capabilities required for text analysis are analogous to those required for tabular data. Text analytics is like general multivariate analysis. Topic analysis is like factor analysis. Singular value decomposition (SVD) is like principal component analysis.

The Lanczos SVD handles messy data well and yields more meaningful factors necessary for naming and ordering specific contract lines in Epic.

See 2016. JMP 13 Preview: New text analytics in JMP Pro <http://bit.ly/2H6UQgV> last accesed 2018 04 03.

4

See OASIS Advancing open standards for the information society <http://bit.ly/2EhrDww> last accesed 2018 04 03. OASIS is a not for profit consortium that brings people together to agree on intelligent ways to exchange information over the Internet and within their organisations.

This data set was created for ADEC and public access to location, status and database information on contaminated sites. The database is primarily used by CSP staff as a management tool for Leaking Underground Storage Tank (LUST) and non-LUST cleanup projects.

Operative volume.

Cloud-Enabling Technologies Market Outlook

The global cloud-enabling technologies market size was valued at approximately USD 13.5 billion in 2023 and is projected to reach USD 33.9 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 10.8% during the forecast period. Key growth factors driving this market include the increasing adoption of cloud-based solutions across various industries, the rising demand for scalable and flexible IT infrastructure, and advancements in cloud technology that enable seamless integration and management of services. The surge in digital transformation initiatives and the growing need for cost-effective IT resources further bolster the expansion of this market globally.

The growth of the cloud-enabling technologies market is significantly driven by the burgeoning demand for virtualization solutions that allow organizations to optimize their existing IT infrastructure. Virtualization, as a key technology type, provides the ability to run multiple operating systems on a single physical machine, leading to enhanced resource allocation, improved energy efficiency, and reduced hardware costs. This flexibility is particularly attractive to businesses looking to minimize capital expenditure while maintaining high levels of productivity and performance. Additionally, the ongoing trend of businesses migrating to cloud environments to leverage remote access and collaboration tools has further intensified the demand for virtualization technology, creating a positive outlook for market growth.

Service-oriented architecture (SOA) is another crucial aspect contributing to the growth of the cloud-enabling technologies market. SOA facilitates seamless interoperability between different services and applications, allowing organizations to build modular and flexible IT systems. This architecture is particularly beneficial for enterprises dealing with complex IT processes, as it enhances agility and adaptability to changing business needs. As companies increasingly focus on delivering innovative solutions and enhancing customer experiences, the implementation of SOA becomes vital in supporting real-time data processing and integration, further propelling the adoption of cloud-enabling technologies across various industry verticals.

The rise of automation and management tools within cloud-enabling technologies cannot be overlooked as a substantial growth factor. Automation tools streamline IT operations by reducing manual intervention, minimizing errors, and improving overall efficiency. These tools are essential for managing cloud environments, enabling businesses to effectively monitor and control resources, optimize workload management, and ensure compliance with regulatory requirements. As organizations strive to achieve operational excellence and agility, the integration of automation solutions becomes a strategic priority, driving increased investment in cloud-enabling technologies.

From a regional perspective, North America dominates the cloud-enabling technologies market, with significant contributions from the United States and Canada. The region's advanced IT infrastructure, early adoption of cloud technologies, and the presence of major technology players contribute to its leadership position. Additionally, substantial investments in digital transformation and the proliferation of cloud-based services across sectors such as BFSI, healthcare, and retail are key drivers of market growth in North America. Meanwhile, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by rapid industrialization, increasing adoption of cloud services by small and medium enterprises (SMEs), and government initiatives supporting digital infrastructure development.

Technology Type Analysis

In examining the technology types within the cloud-enabling technologies market, virtualization stands out as a cornerstone for modern IT infrastructure. Virtualization technology allows organizations to efficiently utilize their hardware resources by running multiple virtual instances on a single physical server, thus enhancing resource allocation and reducing operational costs. This technology is vital for businesses seeking to achieve greater flexibility and scalability in their IT operations. The increasing demand for cloud solutions that support remote work and collaboration has accelerated the adoption of virtualization, making it an indispensable component in the cloud-enabling technologies market.

Service-oriented architecture (SOA) is another pivotal technology type that plays a significant role in

Library of Wroclaw University of Science and Technology scientific output (DONA database)

Simulations with the chemistry transport model CHIMERE are compared to measurements performed during the MEGAPOLI (Megacities: Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation) summer campaign in the Greater Paris region in July 2009. The volatility-basis-set approach (VBS) is implemented into this model, taking into account the volatility of primary organic aerosol (POA) and the chemical aging of semi-volatile organic species. Organic aerosol is the main focus and is simulated with three different configurations with a modified treatment of POA volatility and modified secondary organic aerosol (SOA) formation schemes. In addition, two types of emission inventories are used as model input in order to test the uncertainty related to the emissions. Predictions of basic meteorological parameters and primary and secondary pollutant concentrations are evaluated, and four pollution regimes are defined according to the air mass origin. Primary pollutants are generally overestimated, while ozone is consistent with observations. Sulfate is generally overestimated, while ammonium and nitrate levels are well simulated with the refined emission data set. As expected, the simulation with non-volatile POA and a single-step SOA formation mechanism largely overestimates POA and underestimates SOA. Simulation of organic aerosol with the VBS approach taking into account the aging of semi-volatile organic compounds (SVOC) shows the best correlation with measurements. High-concentration events observed mostly after long-range transport are well reproduced by the model. Depending on the emission inventory used, simulated POA levels are either reasonable or underestimated, while SOA levels tend to be overestimated. Several uncertainties related to the VBS scheme (POA volatility, SOA yields, the aging parameterization), to emission input data, and to simulated OH levels can be responsible for this behavior. Despite these uncertainties, the implementation of the VBS scheme into the CHIMERE model allowed for much more realistic organic aerosol simulations for Paris during summertime. The advection of SOA from outside Paris is mostly responsible for the highest OA concentration levels. During advection of polluted air masses from northeast (Benelux and Central Europe), simulations indicate high levels of both anthropogenic and biogenic SOA fractions, while biogenic SOA dominates during periods with advection from Southern France and Spain.

Enterprise Service Bus (ESB) Software Market Outlook

The global Enterprise Service Bus (ESB) software market size is projected to grow from $2.3 billion in 2023 to $5.1 billion by 2032, at a compound annual growth rate (CAGR) of 9.3%. The increasing need for seamless data integration and efficient communication between disparate software applications drives the growth of this market. As organizations expand and adopt new technologies, the demand for robust ESB solutions becomes critical to ensure the smooth functioning of complex IT environments.

One of the primary growth factors for the ESB software market is the rising adoption of cloud computing. With businesses increasingly migrating their operations to the cloud, there is a heightened need for integration tools that can manage and facilitate data flow between on-premises and cloud-based applications. ESB software plays a crucial role in this migration by providing a unified platform that ensures data is seamlessly shared across different systems, thereby enhancing operational efficiency and reducing the risk of data silos.

Another significant growth driver is the growing emphasis on digital transformation across various industries. Organizations in sectors such as healthcare, BFSI, retail, and manufacturing are investing heavily in digital technologies to improve customer experience, streamline operations, and gain competitive advantages. ESB software, with its ability to integrate diverse applications and data sources, is a pivotal component of these digital transformation initiatives. By enabling real-time data exchange and process automation, ESB solutions help businesses achieve greater agility and responsiveness.

The increasing complexity of enterprise IT environments further fuels the demand for ESB software. As companies adopt a mix of legacy systems, modern applications, and emerging technologies like IoT and AI, the need for a robust integration framework becomes imperative. ESB software provides a scalable and flexible architecture that facilitates communication between heterogeneous systems, allowing organizations to leverage their existing IT investments while incorporating new technologies seamlessly. This integration capability is essential for maintaining business continuity and operational efficiency.

Service Oriented Architecture (SOA) plays a pivotal role in the integration capabilities of ESB software. By leveraging SOA principles, organizations can design their IT systems as a collection of interoperable services. This approach aligns perfectly with the objectives of ESB solutions, which aim to facilitate seamless communication between disparate applications. SOA provides a framework that allows businesses to break down their processes into modular services, which can be easily integrated and reused across different platforms. This modularity not only enhances the flexibility and scalability of IT systems but also simplifies the integration of new technologies and applications into existing infrastructures. As a result, businesses can achieve greater agility and responsiveness, enabling them to adapt quickly to changing market demands and technological advancements.

From a regional perspective, North America holds the largest market share for ESB software, driven by the presence of major technology companies and early adopters of advanced IT solutions. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid digitalization of economies in countries like China and India, combined with government initiatives to promote smart cities and digital infrastructure, is creating significant opportunities for ESB software vendors. Additionally, the increasing penetration of cloud services and the growing IT outsourcing industry in the region are contributing to the market's expansion.

Component Analysis

The ESB software market is segmented into software and services, each playing a crucial role in the overall functionality and adoption of ESB solutions. The software segment encompasses the core ESB platforms and tools that facilitate the integration of various applications and data sources. These software solutions are designed to manage message routing, data transformation, and protocol mediation, ensuring seamless communication between disparate systems within an enterprise. With the increasing complexity of IT environments and the need for real-time data exchange, the demand for advanced ESB software is on

All public water systems are required to have a sanitary survey every 3 or 5 years, depending on the classification of the water system. This feature layer provides the dates of the most recent sanitary survey and the due date for the next one for all public water systems in Alaska. The layer is intended to be a tool to assist state certified Sanitary Surveyors to identify areas that may need multiple sanitary surveys completed and ultimately cutting down on travel costs associated with completing surveys statewide.This data pulls directly from the SDWIS database and is updated daily.

This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2024 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area-based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 231 MB) Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.