This record is for Approval for Access product AfA345.

The Environment Agency's (EA) Spatial Flood defences layer is the only comprehensive and up-to-date dataset in England that shows flood defences currently owned, managed or inspected by the EA.

Flood defences can be structures, buildings or parts of buildings. Typically these are earth banks, stone and concrete walls, or sheet-piling that is used to prevent or control the extent of flooding.

A defence is any asset that provides flood defence or coastal protection functions. This includes both man-made and natural defences. Natural defences may include man-made elements to make them more effective or protect them from erosion. Normally a number of assets will be used together to manage the risk in a particular area, working in combination within a risk management system.

PLEASE NOTE: This data is updated daily. This is a large dataset and depending on the chosen download format, it may take 7-8 minutes to download the full national dataset.

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e

This dataset is not suitable for identifying whether an individual property will flood. GIS layer showing the extent of flooding from surface water that could result from a flood with a 1% chance of happening in any given year. The flood depth is grouped into 6 bands. This dataset is one output of our Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water (uFMfSW). It is one of a group of datasets previously available as the uFMfSW Complex Package. Further information on using these datasets can be found at the Resource Locator link below. Information Warnings: Risk of Flooding from Surface Water is not to be used at property level. If the Content is displayed in map form to others we recommend it should not be used with basemapping more detailed than 1:10,000 as the data is open to misinterpretation if used as a more detailed scale. Because of the way they have been produced and the fact that they are indicative, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment of risk in relation to flooding at any scale without further supporting studies or evidence.

Government Open Data Management Platform Market Outlook

The global government open data management platform market size was valued at USD 2.5 billion in 2023 and is projected to reach USD 6.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. The rising emphasis on transparency, accountability, and citizen engagement by governments worldwide is a significant driving factor for this market's growth.

The proliferation of digital governance initiatives is one of the primary growth factors for the government open data management platform market. Governments across the globe are increasingly adopting digital platforms to improve public service delivery, enhance citizen engagement, and increase operational efficiency. By providing open access to data, these platforms enable better decision-making and foster innovation among various stakeholders, including businesses, researchers, and the general public. This trend is further accelerated by the growing demand for data-driven governance and public policies that are more responsive and accountable.

Moreover, advancements in data analytics and artificial intelligence (AI) are significantly contributing to the growth of the government open data management platform market. Modern open data platforms are increasingly incorporating sophisticated analytics tools and AI capabilities to offer more insightful and actionable data. These technological advancements enable governments to leverage large datasets for predictive analytics, enhancing their ability to anticipate and respond to public needs effectively. Additionally, the integration of AI in data management platforms helps in automating data processing tasks, thereby improving efficiency and reducing operational costs.

The increasing focus on smart city initiatives is another critical factor driving the demand for government open data management platforms. Smart cities rely heavily on data to optimize urban planning, improve traffic management, enhance public safety, and provide efficient public services. Open data platforms play a crucial role in these initiatives by providing a centralized repository for diverse data sets collected from various sensors and systems across the city. This data can be accessed and analyzed by different stakeholders to develop innovative solutions that address urban challenges and improve the quality of life for citizens.

Government Software plays a pivotal role in the development and implementation of open data management platforms. These software solutions are designed to meet the specific needs of government agencies, providing robust tools for data collection, analysis, and dissemination. By leveraging government software, agencies can ensure data accuracy, enhance transparency, and improve public service delivery. The integration of advanced features such as data visualization, predictive analytics, and machine learning within government software allows for more informed decision-making and policy formulation. As governments continue to prioritize digital transformation, the demand for specialized government software solutions is expected to rise, driving further growth in the open data management platform market.

From a regional perspective, North America holds a significant share of the government open data management platform market, driven by the early adoption of digital governance solutions and the presence of major technology providers in the region. Europe is also a prominent market, with several countries implementing open data policies to promote transparency and citizen participation. The Asia Pacific region is expected to witness substantial growth during the forecast period, supported by increasing government initiatives to digitize public services and the rising adoption of smart city projects. Latin America, the Middle East, and Africa are also anticipated to show promising growth, although at a comparatively slower pace due to varying levels of technological infrastructure and government investment in these regions.

Component Analysis

The government open data management platform market is segmented by component into software and services. Software components include the core data management platforms, which facilitate the collection, storage, and dissemination of open data. These software solutions are designed to handle large volumes of data and provide various functionalities such as data analytics, visualization, and integration. The increasi

Autonomous Data Platform Market size was valued at USD 1.95 Billion in 2024 and is projected to reach USD 9.63 Billion by 2032, growing at a CAGR of 22.10% from 2026 to 2032.

Global Autonomous Data Platform Market Drivers

Increasing Volume and Complexity of Data: The exponential increase in data volume and complexity is one of the main factors propelling the market for autonomous data platforms. Traditional data management systems find it difficult to handle the data explosion caused by the spread of digital devices, Internet of Things sensors, social media, and other data-generating sources. Large, complex datasets can be handled with extreme efficiency by autonomous data platforms because they use artificial intelligence (AI) and machine learning (ML) to automate data management processes including data integration, cleansing, and transformation. These platforms are being used by organizations more and more to process and analyze data in real-time, giving them the ability to gain actionable insights and stay ahead of the competition.

Need for Real-Time Analytical Data: The market for autonomous data platforms is also being driven by the increased need for real-time analytics. Making judgments based on data rapidly is essential in the fast-paced corporate world of today. Organizations may process and analyze data as it is generated with the help of autonomous data platforms, which offer real-time insights that can be utilized to improve customer experiences, streamline operations, and spur corporate expansion. Real-time analytics is especially important for sectors like banking, healthcare, retail, and telecommunications since it allows these businesses to quickly identify abnormalities, track trends, and make well-informed decisions. One of the main factors influencing autonomous data platforms' adoption across a variety of industries is their capacity to facilitate real-time data processing and analytics.

Developments in Machine Learning and Artificial Intelligence: Technological developments in AI and ML are essential to the market expansion for autonomous data platforms. Autonomous data platforms rely on these technologies to automate labor-intensive data management processes that were previously labor-intensive and required human interaction. Over time, as AI and ML algorithms continue to learn from data, the platform's accuracy and efficiency will increase. Because of this, there is less need for manual intervention, which lowers operating expenses and lowers the possibility of human error. Predictive analytics is made possible by the integration of AI and ML into data systems, which enables businesses to foresee patterns, project results, and take proactive measures in decision-making. In the upcoming years, the adoption of autonomous data platforms is anticipated to increase due to the continued development of these technologies, which will further improve their capabilities.

The Automotive Data Service Platform market is experiencing robust growth, driven by the increasing adoption of connected vehicles, the proliferation of data-driven services, and the rising demand for enhanced vehicle safety and efficiency. The market's expansion is fueled by several key factors, including the development of advanced driver-assistance systems (ADAS), the need for real-time vehicle diagnostics, and the emergence of new business models centered around data monetization. Key players like Solifi, Otonomo, and Wejo are actively shaping this landscape, investing in innovative solutions to collect, process, and analyze automotive data. Furthermore, the increasing integration of artificial intelligence (AI) and machine learning (ML) algorithms within these platforms promises to unlock even greater opportunities for predictive maintenance, personalized driving experiences, and improved fleet management. The market is segmented by service type (e.g., diagnostics, telematics, infotainment), vehicle type (passenger cars, commercial vehicles), and region, each exhibiting unique growth trajectories. While data privacy and security concerns pose challenges, the overall market outlook remains positive, anticipating significant expansion over the next decade. The forecast period from 2025 to 2033 suggests substantial growth potential for the Automotive Data Service Platform market. A conservative estimate, assuming a moderate CAGR of 15% (a figure adjusted for the various factors driving the market), would see a substantial increase in market value. This growth is underpinned by ongoing technological advancements, regulatory changes favoring data-driven services, and the increasing sophistication of connected car ecosystems. The competitive landscape is dynamic, with established players and emerging startups vying for market share. Strategic partnerships, acquisitions, and technological innovations will play a crucial role in shaping the market's future. The market's geographic segmentation reveals varying levels of adoption across different regions, influenced by factors such as infrastructure development, consumer adoption rates, and government regulations. North America and Europe are expected to maintain a strong market presence, but Asia-Pacific is poised for significant growth in the coming years.

This dataset is not suitable for identifying whether an individual property will flood.This dataset is one output of our Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water (uFMfSW). It is one of a group of datasets previously available as the uFMfSW Complex Package. Further information on using these datasets can be found at through the DEFRA Data Services Platform link below.Information Warnings: Risk of Flooding from Surface Water is not to be used at property level. If the Content is displayed in map form to others we recommend it should not be used with basemapping more detailed than 1:10,000 as the data is open to misinterpretation if used as a more detailed scale.Because of the way they have been produced and the fact that they are indicative, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment of risk in relation to flooding at any scale without further supporting studies or evidence. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.Additional Links:DEFRA Data Services Platform- containing download linksRisk of flooding from Surface Water Extent 0.1% WMS

Big Data Platform And Tools Market Outlook

The global Big Data Platform and Tools market size was valued at approximately $72 billion in 2023 and is projected to reach around $210 billion by 2032, growing at a CAGR of 12.5% during the forecast period. The market growth is primarily driven by the increasing adoption of data-driven decision-making processes across various industries. Organizations are leveraging big data analytics to gain insights, improve operational efficiency, and create new business models, thereby fostering market expansion.

One of the major growth factors for the Big Data Platform and Tools market is the exponential increase in data generation across different sectors. With the proliferation of IoT devices, social media platforms, and various digital channels, the volume, velocity, and variety of data have surged significantly. Companies are increasingly investing in big data platforms to manage and analyze this data, which helps in making informed decisions and gaining a competitive edge. Additionally, advancements in artificial intelligence and machine learning are enhancing the capabilities of big data tools, further driving market growth.

Another crucial factor contributing to the market growth is the rising need for compliance and regulatory requirements. Industries such as BFSI, healthcare, and government are subject to stringent data regulations and privacy laws. Big data platforms provide the necessary tools to ensure data security, governance, and compliance, thereby minimizing the risk of data breaches and regulatory penalties. This has led to a higher adoption rate of big data solutions in these sectors, significantly contributing to the market's expansion.

The increasing focus on enhancing customer experience is also propelling the growth of the Big Data Platform and Tools market. Businesses are utilizing big data analytics to understand customer behavior, preferences, and trends. This information helps in personalizing marketing strategies, improving customer service, and developing new products tailored to customer needs. The ability to provide a superior customer experience is becoming a critical differentiator in highly competitive markets, thereby driving the demand for big data solutions.

Regionally, North America holds the largest share of the Big Data Platform and Tools market, driven by the presence of major technology companies, high adoption of advanced technologies, and substantial investments in R&D. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. Factors such as rapid digitalization, the proliferation of smart devices, and the increasing need for data-driven decision-making in emerging economies like China and India are fueling the market growth in this region. Additionally, government initiatives promoting digital transformation are further boosting the adoption of big data solutions in the Asia Pacific.

Component Analysis

When analyzing the Big Data Platform and Tools market by component, it is evident that both software and services play a crucial role in the market dynamics. The software segment encompasses various big data tools and platforms designed for data processing, analytics, and visualization. These tools are essential for extracting meaningful insights from vast amounts of data, enabling organizations to make data-driven decisions. Key software solutions include Hadoop, Spark, NoSQL databases, and data integration tools. The continuous advancements in these software solutions, such as enhanced processing speed and real-time analytics capabilities, are driving their adoption across various industries.

The services segment, which includes consulting, implementation, and support services, is equally vital for the successful deployment and utilization of big data platforms. Consulting services help organizations identify the right big data strategy and select appropriate tools based on their specific needs. Implementation services ensure the seamless integration of big data solutions into existing IT infrastructure, while support services provide ongoing maintenance and troubleshooting. The growing complexity of big data environments necessitates specialized expertise, making the services segment a critical component of the market.

Furthermore, the rising trend of outsourcing big data services to third-party providers is contributing to the growth of the services segment. Many organizations prefer to rely on external experts for managing their big data initiatives, allowing them to focus on core bus

Content Services Platforms Market Outlook

The global content services platforms market has experienced significant growth, with the market size reaching approximately $45 billion in 2023, and it is projected to expand further at a robust CAGR of 15% from 2024 to 2032, anticipating a market size of nearly $121 billion by the end of 2032. This growth is fueled by the increasing digital transformation initiatives across industries, the rising need for efficient content management solutions, and the growing demand for enhanced collaboration tools among enterprises. As organizations continue to digitize their operations and workflows, the adoption of content services platforms is anticipated to accelerate, further driving market expansion.

One of the primary growth factors for the content services platforms market is the escalating volume of digital content being generated across various industries. The proliferation of digital communication channels, social media platforms, and mobile applications has resulted in an exponential increase in data and content production. This surge in content creation necessitates robust platforms that can efficiently manage, store, and disseminate information, thereby driving the demand for content services platforms. Furthermore, the shift towards remote work environments and hybrid work models has highlighted the need for seamless access to content and collaboration tools, further boosting market growth. Organizations are seeking solutions that offer secure access to content from any location, ensuring business continuity and productivity.

Another significant growth driver is the integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) into content services platforms. AI and ML capabilities enhance the functionality of these platforms by automating content categorization, improving search capabilities, and providing insights through data analytics. This technological evolution enables organizations to extract more value from their content, optimize workflows, and make data-driven decisions. As businesses increasingly recognize the benefits of AI-powered content services platforms, their adoption is expected to surge, propelling market growth over the forecast period. Additionally, the rising focus on compliance and data security regulations is compelling organizations to adopt content services platforms that offer robust security features and ensure data governance.

The integration capabilities of content services platforms with existing enterprise systems also play a crucial role in their market expansion. Businesses are increasingly prioritizing solutions that can seamlessly integrate with their existing IT infrastructure, including CRM, ERP, and other business applications. This integration allows for better data flow, improved operational efficiency, and enhanced user experience, thereby driving the adoption of content services platforms. Moreover, the customization and scalability offered by these platforms make them suitable for organizations of all sizes and across different industry verticals, further contributing to market growth. As companies continue to prioritize digital transformation and improve their content management strategies, the demand for content services platforms is expected to witness sustained growth.

Component Analysis

The content services platforms market is bifurcated into two primary components: solutions and services. Solutions encompass the software platforms themselves, which include a range of functionalities from content management and storage to search and retrieval capabilities. These solutions are integral to organizations as they provide the core infrastructure needed to manage the lifecycle of digital content effectively. The demand for comprehensive solutions is increasing as businesses look for platforms that can handle diverse content types, including documents, images, videos, and more. This has led to the development of feature-rich solutions that offer advanced analytics, collaboration tools, and workflow automation, enhancing overall organizational efficiency.

Services, on the other hand, include consulting, implementation, integration, and support services that help organizations deploy and optimize content services platforms. The services segment is crucial as it ensures that the platforms are tailored to meet the specific needs of each organization. Consulting services guide businesses in selecting the right platform based on their requirements, while implementation services assist in smooth deployment and integration with existing systems. The increasing complexity of content managem

Content Services Platform Market Outlook

According to our latest research, the global Content Services Platform (CSP) market size reached USD 52.4 billion in 2024, demonstrating robust expansion driven by digital transformation initiatives across industries. The market is projected to grow at a CAGR of 15.8% during the forecast period, reaching USD 150.8 billion by 2033. This impressive growth trajectory is fueled by increasing demands for secure document management, workflow automation, and regulatory compliance, as organizations worldwide accelerate their adoption of advanced content management solutions.

One of the primary growth factors propelling the Content Services Platform market is the exponential rise in enterprise content volume, fueled by remote work models and digital business processes. Organizations are increasingly seeking innovative solutions to manage, store, and retrieve vast amounts of unstructured data, such as documents, emails, and multimedia files. The proliferation of cloud computing, mobile devices, and collaboration tools has further accentuated the need for integrated content services platforms that can seamlessly connect disparate data sources and provide unified access to business-critical information. This trend is particularly pronounced in sectors like BFSI, healthcare, and government, where data security, compliance, and operational efficiency are paramount.

Another significant driver is the surge in regulatory and compliance requirements across various industries. With stringent data protection laws such as GDPR in Europe, HIPAA in the United States, and similar mandates in other regions, enterprises are compelled to adopt content services platforms that offer robust governance, audit trails, and data lifecycle management. These platforms not only ensure compliance but also reduce the risk of data breaches and enhance transparency in business operations. The integration of artificial intelligence and machine learning capabilities within CSPs is further enhancing their ability to automate content classification, extraction, and policy enforcement, thus streamlining compliance processes and reducing manual intervention.

The growing emphasis on digital customer experiences and business agility is also shaping the Content Services Platform market. Companies are leveraging CSPs to enable seamless collaboration across teams, automate repetitive workflows, and deliver personalized content to customers and stakeholders. This transformation is especially evident in industries such as retail, manufacturing, and IT & telecommunications, where real-time access to information and agile decision-making are competitive differentiators. The shift towards cloud-based deployment models is enabling organizations to scale their content services infrastructure rapidly, integrate with other enterprise applications, and reduce total cost of ownership, further accelerating market adoption.

From a regional perspective, North America continues to lead the global Content Services Platform market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The region's dominance can be attributed to early technology adoption, a mature digital ecosystem, and the presence of leading CSP vendors. However, Asia Pacific is expected to witness the fastest growth during the forecast period, driven by rapid digitalization, expanding IT infrastructure, and increasing investments in enterprise content management solutions. Latin America and the Middle East & Africa are also emerging as promising markets, fueled by growing enterprise awareness and government-led digital initiatives.

Component Analysis

The Content Services Platform market by component is primarily segmented into Solutions and Services. Solutions encompass the core software platforms that facilitate document management, workflow automation, and content governance, while services include consulting, integration, support, and managed serv

Market Size and Growth Potential: The global library services platform market is estimated to be valued at over USD X million in 2025, with a CAGR of around XX% during the forecast period from 2025 to 2033. The increasing adoption of digital technologies in libraries, rising demand for personalized library experiences, and growing government initiatives to promote literacy are key drivers of this market growth. Segmentation and Competitive Landscape: By application, the market is segmented into school libraries, public libraries, and others. Cloud-based and local deployment are the two main types of library services platforms. Key players in the market include Ex Libris, SirsiDynix, Innovative Interfaces, Capita, Infor, PTFS, OCLC, EOS, Auto Graphics, LAT, TLC, PrimaSoft, Equinox Software, Libsys, and Book Systems. North America and Europe are the dominant regional markets, with Asia Pacific expected to witness significant growth due to the expansion of library infrastructure and digital literacy initiatives.

One-stop location shop - Improve your agility and scalability through easy access to location data and algorithms from a network of providers.

High-quality data - Utilize enterprise grade data with a single global schema, consistent tile structure & topology-attribution model.

Global applicability - Keep your total cost of ownership (TCO) down by building once and then operating at scale with a global footprint.

Market Overview: The global Smart Tourism Big Data Service Platform market is projected to reach a valuation of $9.1 billion by 2033, exhibiting a robust CAGR of 15.4% over the forecast period 2025-2033. This growth is driven by the increasing adoption of data analytics in the tourism industry, growing demand for personalized travel experiences, and the proliferation of mobile devices and IoT sensors. The market is segmented based on type (cloud-based, on-premises) and application (individual, group, others), with the cloud-based segment dominating due to its cost-effectiveness and flexibility. North America currently holds the largest market share, followed by Europe and Asia Pacific. Key Trends and Challenges: Prominent trends shaping the market include the rise of artificial intelligence and machine learning, enabling personalized recommendations and predictive analytics. Additionally, the integration of blockchain technology is enhancing data security and transparency. However, challenges such as data privacy concerns, fragmented data sources, and the need for skilled professionals may hinder market growth. Despite these challenges, advancements in data analytics and the growing importance of data-driven decision-making in the tourism sector are expected to drive sustained market expansion in the coming years.

The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering ~99% of England at 1m spatial resolution.The DTM (Digital Terrain Model) is produced from the last or only laser pulse returned to the sensor. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface. Produced by the Environment Agency in 2022, the DTM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged. The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.DEFRA Data Services Platform Metadata URLDefra Network WMS server provided by the Environment Agency

The statistic shows a revenue forecast of the competitive public cloud data services market worldwide, from 2013 to 2019. In 2016, cloud data services for the public Platform as a Service (PaaS) market are forecast to generate 4.7 billion U.S. dollars globally.

Big Data Platform Software Market Outlook

The global Big Data Platform Software market size was valued at approximately USD 70 billion in 2023 and is projected to reach around USD 250 billion by 2032, growing at a compound annual growth rate (CAGR) of 15%. The substantial growth in this market can be attributed to the increasing volume and complexity of data generated across various industries, along with the rising need for data analytics to drive business decision-making.

One of the key growth factors driving the Big Data Platform Software market is the explosive growth in data generation from various sources such as social media, IoT devices, and enterprise applications. The proliferation of digital devices has led to an unprecedented surge in data volumes, compelling businesses to adopt advanced Big Data solutions to manage and analyze this data effectively. Additionally, advancements in cloud computing have further amplified the capabilities of Big Data platforms, enabling organizations to store and process vast amounts of data in a cost-efficient manner.

Another significant driver of market growth is the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies. Big Data platforms equipped with AI and ML capabilities can provide valuable insights by analyzing patterns, trends, and anomalies within large datasets. This has been particularly beneficial for industries such as healthcare, finance, and retail, where data-driven decision-making can lead to improved operational efficiency, enhanced customer experiences, and better risk management.

Moreover, the rising demand for real-time data analytics is propelling the growth of the Big Data Platform Software market. Businesses are increasingly seeking solutions that can process and analyze data in real-time to gain immediate insights and respond swiftly to market changes. This demand is fueled by the need for agility and competitiveness, as organizations aim to stay ahead in a rapidly evolving business landscape. The ability to make data-driven decisions in real-time can provide a significant competitive edge, driving further investment in Big Data technologies.

From a regional perspective, North America holds the largest share of the Big Data Platform Software market, driven by the early adoption of advanced technologies and the presence of major market players. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to the increasing digital transformation initiatives and the rising awareness about the benefits of Big Data analytics across various industries. Europe also presents significant growth opportunities, driven by stringent data protection regulations and the growing emphasis on data privacy and security.

Component Analysis

The Big Data Platform Software market can be segmented by component into Software and Services. The software segment encompasses the various Big Data platforms and tools that enable data storage, processing, and analytics. This includes data management software, data analytics software, and visualization tools. The demand for Big Data software is driven by the need for organizations to handle large volumes of data efficiently and derive actionable insights from it. With the growing complexity of data, advanced software solutions that offer robust analytics capabilities are becoming increasingly essential.

The services segment includes consulting, implementation, and support services related to Big Data platforms. These services are crucial for the successful deployment and management of Big Data solutions. Consulting services help organizations to design and strategize their Big Data initiatives, while implementation services ensure the seamless integration of Big Data platforms into existing IT infrastructure. Support services provide ongoing maintenance and troubleshooting to ensure the smooth functioning of Big Data systems. The growing adoption of Big Data solutions is driving the demand for these ancillary services, as organizations seek expert guidance to maximize the value of their Big Data investments.

Within the software segment, data analytics software is witnessing significant demand due to its ability to process and analyze large datasets to uncover hidden patterns and insights. This is particularly important for industries such as healthcare, finance, and retail, where data-driven insights can lead to improved decision-making and operational efficiency. Additionally, data management software plays a critical role in ensuring the integrity, securit

The Asia Pacific Content Services Platform market is experiencing robust growth, projected to reach a substantial size driven by the increasing digitalization across various sectors and the rising need for efficient data management. The 23.33% CAGR from 2019 to 2024 indicates a significant upward trajectory, a trend expected to continue through 2033. Key drivers include the expanding adoption of cloud-based solutions offering scalability and cost-effectiveness, the growing demand for robust information security and governance in compliance with stringent regulations, and the increasing complexity of managing ever-growing volumes of unstructured data within enterprises. The BFSI, government, and healthcare sectors are significant contributors to market growth, fueled by their need to streamline operations, enhance customer experience, and comply with data privacy regulations. The market is segmented by component (solutions/software encompassing document and records management, data capture, workflow, security, and case management; and services), deployment type (on-premise and cloud), organization size (SMEs and large enterprises), and end-user industry. Competition is fierce, with established players like IBM, Microsoft, and OpenText alongside emerging innovative companies vying for market share. Within the Asia Pacific region, countries like China, India, and Japan are expected to be key growth drivers due to their expanding economies and increasing digital adoption. The shift towards cloud-based solutions is a prominent trend, impacting the market's growth dynamics by offering flexibility, accessibility, and cost optimization. Continued growth will be fueled by advancements in artificial intelligence and machine learning, further automating content management processes and enhancing efficiency. However, challenges like data security concerns, integration complexities with legacy systems, and the need for skilled professionals to manage these platforms could potentially restrain market growth to some extent. To mitigate these, vendors are increasingly focusing on user-friendly interfaces and robust security features, actively addressing the concerns of potential clients. The market's future hinges on the successful navigation of these challenges, leveraging innovative solutions to capitalize on the immense opportunities within the Asia Pacific region's rapidly evolving digital landscape. Strategic partnerships and mergers and acquisitions are anticipated to shape the competitive landscape in the coming years. Recent developments include: April 2022 - Box launched Box Canvas, a part of Box's larger strategy to provide a solution that manages the life cycle of an organization's most crucial information. This contains capabilities for publication, eSignatures, statistics, and many more, in addition to creating content and interaction. The new tool allows customers to communicate graphically in real-time or sequentially while staying within the Box platform., March 2022 - Hyland introduced Content Services and Intelligent Automation product enhancements for the organizations so that they can synchronize end-to-end automating with the completely redesigned Web Manager, which offers improved security, user control, and advanced analytical insights. Key drivers for this market are: Increasing Adoption of SMAC Technologies, Increase of Digital Content Across the Enterprises; Demand for Delivering Contextualized User Experience. Potential restraints include: Increasing Adoption of SMAC Technologies, Increase of Digital Content Across the Enterprises; Demand for Delivering Contextualized User Experience. Notable trends are: The Solution and Software Segment is Expected to Accounted for the Largest Market Share.

PLEASE NOTE: This dataset has been retired. It has been superseded by https://environment.data.gov.uk/dataset/04532375-a198-476e-985e-0579a0a11b47. Links to this data will be removed after April 2025. We encourage users to download this Flood Zones dataset if you would like to retain a comparison ability beyond this date.

The Flood Map for Planning (Rivers and Sea) includes several layers of information. This dataset covers Flood Zone 2 and should not be used without Flood Zone 3. It is our best estimate of the areas of land at risk of flooding, when the presence of flood defences are ignored and covers land between Zone 3 and the extent of the flooding from rivers or the sea with a 1 in 1000 (0.1%) chance of flooding each year. This dataset also includes those areas defined in Flood Zone 3.

This dataset is designed to support flood risk assessments in line with Planning Practice Guidance ; and raise awareness of the likelihood of flooding to encourage people living and working in areas prone to flooding to find out more and take appropriate action.

The information provided is largely based on modelled data and is therefore indicative rather than specific. Locations may also be at risk from other sources of flooding, such as high groundwater levels, overland run off from heavy rain, or failure of infrastructure such as sewers and storm drains.

The information indicates the flood risk to areas of land and is not sufficiently detailed to show whether an individual property is at risk of flooding, therefore properties may not always face the same chance of flooding as the areas that surround them. This is because we do not hold details about properties and their floor levels. Information on flood depth, speed or volume of flow is not included.

The Master Data Management (MDM) Platform Data Services (PDS) software market is experiencing robust growth, driven by the increasing need for businesses to consolidate and manage their data effectively across diverse sources and applications. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This growth is fueled by several key factors. Firstly, the rise of digital transformation initiatives compels organizations to improve data quality and consistency, leading to increased adoption of MDM PDS solutions. Secondly, the expanding volume and variety of data generated by businesses necessitates sophisticated tools for data integration, governance, and analysis. Finally, the growing preference for cloud-based solutions offers scalability, flexibility, and cost-effectiveness, further driving market expansion. The segmentation reveals that large enterprises currently dominate the market, owing to their higher investment capacity and complex data management needs. However, the medium and small enterprise segments are expected to witness significant growth in the forecast period, driven by the increasing affordability and accessibility of cloud-based MDM PDS solutions. The competitive landscape is highly fragmented, with both established players like Oracle, SAP, and IBM, and specialized vendors like Pimcore and Akeneo vying for market share. Key success factors include the ability to provide seamless integration with existing enterprise systems, robust data quality management capabilities, and a user-friendly interface. Geographical analysis suggests that North America and Europe currently hold the largest market share, due to the high adoption of advanced technologies and established digital infrastructure. However, the Asia-Pacific region is expected to witness substantial growth in the coming years, driven by increasing digitalization and expanding business operations across developing economies. Despite the positive outlook, challenges remain, such as the complexities of data integration across diverse systems and the need for specialized skills to implement and manage MDM PDS solutions. Addressing these challenges will be critical for sustained market growth.

Data Science Platform Market Outlook

The global data science platform market size was valued at approximately USD 49.3 billion in 2023 and is projected to reach USD 174.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.1% during the forecast period. This exponential growth can be attributed to the increasing demand for data-driven decision-making processes, the surge in big data technologies, and the need for more advanced analytics solutions across various industries.

One of the primary growth factors driving the data science platform market is the rapid digital transformation efforts undertaken by organizations globally. Companies are shifting towards data-centric business models to gain a competitive edge, improve operational efficiency, and enhance customer experiences. The proliferation of IoT devices and the subsequent explosion of data generated have further propelled the need for sophisticated data science platforms capable of analyzing vast datasets in real-time. This transformation is not only seen in large enterprises but also increasingly in small and medium enterprises (SMEs) that recognize the potential of data analytics in driving business growth.

Moreover, the advancements in artificial intelligence (AI) and machine learning (ML) technologies have significantly augmented the capabilities of data science platforms. These technologies enable the automation of complex data analysis processes, allowing for more accurate predictions and insights. As a result, sectors such as healthcare, finance, and retail are increasingly adopting data science solutions to leverage AI and ML for personalized services, fraud detection, and supply chain optimization. The integration of AI/ML into data science platforms is thus a critical factor contributing to market growth.

Another crucial factor is the growing regulatory and compliance requirements across various industries. Organizations are mandated to ensure data accuracy, security, and privacy, necessitating the adoption of robust data science platforms that can handle these aspects efficiently. The implementation of regulations such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States has compelled organizations to invest in advanced data management and analytics solutions. These regulatory frameworks are not only a challenge but also an opportunity for the data science platform market to innovate and provide compliant solutions.

Regionally, North America dominates the data science platform market due to the early adoption of advanced technologies, a strong presence of key market players, and significant investments in research and development. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This growth can be attributed to the increasing digitalization initiatives, a growing number of tech startups, and the rising demand for analytics solutions in countries like China, India, and Japan. The competitive landscape and economic development in these regions are creating ample opportunities for market expansion.

Component Analysis

The data science platform market, segmented by components, includes platforms and services. The platform segment encompasses software and tools designed for data integration, preparation, and analysis, while the services segment covers professional and managed services that support the implementation and maintenance of these platforms. The platform component is crucial as it provides the backbone for data science operations, enabling data scientists to perform data wrangling, model building, and deployment efficiently. The increasing demand for customized solutions tailored to specific business needs is driving the growth of the platform segment. Additionally, with the rise of open-source platforms, organizations have more flexibility and control over their data science workflows, further propelling this segment.

On the other hand, the services segment is equally vital as it ensures that organizations can effectively deploy and utilize data science platforms. Professional services include consulting, training, and support, which help organizations in the seamless integration of data science solutions into their existing IT infrastructure. Managed services provide ongoing support and maintenance, ensuring data science platforms operate optimally. The rising complexity of data ecosystems and the shortage of skilled data scientists are factors contributing to the growth of the services segment, as organizations often rely on external expert

Global Public Cloud Platform as a Service (PaaS) Market size worth reach USD 9.12 billion by 2021, growing at a CAGR of 30% during 2016 and 2021.