The Veterans Health Administration (VHA) is increasingly dependent upon data. Most of its employees generate and use vast amounts of data on a daily basis. To improve our capacity for data analysis while providing the most efficient and the highest quality health care to our Veteran patients, VHA, working with the VA Office of Information and Technology, implemented a health data warehouse. Central to this plan is consolidating data from disparate sources into a coherent single logical data model. The Corporate Data Warehouse (CDW) is the physical implementation of this logical data model at the enterprise level for VHA. Although the CDW initially began to store data as early as 2006, a renewed effort began in 2010 to accelerate CDW's content by including more subject areas from Veterans Health Information Systems and Technology Architecture (VistA) and content from other existing national data systems. CDW supports fully developed subject areas in its production environment as well as supporting rapid prototyping by extracting data directly from source systems with very minor data transformations. The Regional Data Warehouses and the Veterans Integrated Service Network (VISN) Data Warehouses share content from CDW and allow for greater reporting flexibility at the local level throughout the VHA organization.

This report contains details of Environment Agency corporate property - including address, postcode, grid reference, current use and status. April 2016

The amount of corporate data stored in the cloud has increased in recent years and is predicted to surpass 60 percent by 2022. This is a significant rise from 2015 when only 30% of corporate data was stored in the cloud. This trend is expected to continue in the future.

What is driving the adoption of cloud technology?

The global public cloud services market is expected to grow by approximately 22 percent in 2023, which equates to around 600 billion U.S. dollars. As businesses expand, their data storage and IT infrastructure needs become increasingly challenging to meet with on-premises storage servers and hardware alone. This growth creates a crucial need for scalability, which can only be efficiently and cost-effectively managed through cloud-based services. Additionally, companies are moving towards cloud technology to enhance their security, reliability, and business agility.

The four major players in the cloud market

Amazon, Google, Microsoft, and Alibaba are known as the big four in cloud technology, controlling over two-thirds of the global cloud market. Amazon Web Services (AWS) has held the majority of the market share for several years, with 32% of the entire market. Microsoft is the closest competitor, growing its market share year on year. Its suite of Office products offered on the cloud for enterprises and consumers worldwide has contributed to their success.

The Cloud Data Warehouse Market is projected to grow at 25.6% CAGR, reaching $28.82 Billion by 2029. Where is the industry heading next? Get the sample report now!

Around 63 percent of IT security practitioners stated that they used the cloud to store customer information, making it the most common type of corporate data stored in the cloud. Customer information, alongside payment information, also ranked among the riskiest types of data stored in the cloud, with nearly half of respondents placing the data type amongst their top two riskiest data types.

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Enterprise Data Warehouse Market Size 2024-2028

The enterprise data warehouse market size is forecast to increase by USD 39.24 billion, at a CAGR of 30.08% between 2023 and 2028. The market is experiencing significant growth due to the data explosion across various industries. With the increasing volume, velocity, and variety of data, businesses are investing heavily in EDW solutions and data warehousing to gain insights and make informed decisions. A key growth driver is the spotlight on innovative solution launches, designed with cutting-edge features and functionalities to keep pace with the ever-evolving demands of modern businesses.

However, concerns related to data security continue to pose a challenge in the market. With the increasing amount of sensitive data being stored in EDWs, ensuring its security has become a top priority for organizations. Despite these challenges, the market is expected to grow at a strong pace, driven by the need for efficient data management and analysis.

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

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An enterprise data warehouse (EDW) is a centralized, large-scale database designed to collect, store, and manage an organization's valuable business information from multiple sources. The EDW acts as the 'brain' of an organization, processing and integrating data from various physical recordings, flat files, and real-time data sources. Data engineering plays a crucial role in the EDW, responsible for data ingestion, cleaning, and digital transformation. Business units across the organization rely on Business Intelligence (BI) tools like Tableau, PowerBI, Qlik, and data visualization tools to extract insights from the EDW. The EDW is a collection of databases, including Teradata, Netezza, Exadata, Amazon Redshift, and Google BigQuery, which serve as the backbone for data-driven decision-making.

Moreover, the cloud has significantly impacted the EDW market, enabling cost-effective and scalable solutions for businesses of all sizes. BI tools and data visualization tools enable departments to access and analyze data, improving operational efficiency and driving innovation. The EDW market continues to grow, with organizations recognizing the importance of a centralized, integrated data platform for managing their valuable assets.

Enterprise Data Warehouse Market Segmentation

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

Product Type

  Information and analytical processing
  Data mining


Deployment

  Cloud based
  On-premises


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    India


  Middle East and Africa



  South America

By Product Type

The information and analytical processing segment is estimated to witness significant growth during the forecast period. The market is witnessing significant growth due to the increasing data requirements of various industries such as IT, BFSI, education, healthcare, and retail. The primary function of an EDW system is to extract, transform, and load data from source systems into a central repository for data integration and analysis. This process enables businesses to gain timely insights and make informed decisions based on historical data and real-time analytics. EDW systems are designed to be scalable to cater to the data processing needs of the largest organizations. The use of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes in data warehousing has become a popular trend to address processing bottlenecks and ensure Service Level Agreements (SLAs) are met.

Furthermore, business users increasingly rely on these systems for business intelligence and data analytics. Big Data technologies like Hadoop MapReduce and Apache Spark are being integrated with ETL tools to enable the processing of large volumes of data. Precisely, as a pioneer in data integration, offers solutions that cater to the needs of various business teams and departments. Data visualization tools like Tableau, PowerBI, Qlik, Teradata, Netezza, Exadata, Amazon Redshift, Google BigQuery, Snowflake, and Data virtualization are being used to gain insights from the data in the EDW. The history of transactions and multiple users accessing the data make the need for data warehousing more critical than ever.

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The information and analytical processing segment was valued at USD 3.65 billion in 2018 and showed a gradual increase during the forecast period.

Regional Insights

APAC is estimated to contribute 32% to the growt

The Data Warehouse As A Service Market is projected to grow at 21.1% CAGR, reaching $18.38 Billion by 2029. Where is the industry heading next? Get the sample report now!

The Data Warehousing Market is projected to grow at 16.6% CAGR, reaching $69.64 Billion by 2029. Where is the industry heading next? Get the sample report now!

The Converged Registries Solution (CRS) has been replaced by the Veterans Integrated Registries Platform (VIRP). The information contained in this entry discusses the CRS prior to its replacement. The Converged Registries platform was a hardware and software architecture designed to host individual patient registries and eliminate duplicative development effort while maximizing VAs ability to create new patient registries. The common platform included a relational database, software classes, security modules, extraction services and other components. The Converged Registries obtained data from the Corporate Data Warehouse (CDW), directly from the Veterans Health Information Systems and Technology Architecture (VistA) as well as by direct user input. Registries Projects - Embedded Fragment Registry (EFR), Eye Injury Data Store, Traumatic Brain Injury (TBI) Registry and Veterans Implant Tracking and Alert System (VITAS).

Geographic variability in use of different indicators of homelessness.

Explore the top companies and key players in the Cloud Data Warehouse Market with our detailed report. Get insights on key players, market strategies and learn about their market positions and contributions to the industry.

The size of the Data Warehouse as a Service Market was valued at USD 57.21 Billion in 2023 and is projected to reach USD 228.82 Billion by 2032, with an expected CAGR of 21.9% during the forecast period. Data Warehouse as a Service (DWaaS) is displaying rapid growth as the market becomes flooded with a significantly increased request for scalable, cost-effective, cloud storage and analytics. Storage and analysis of vast structured and unstructured data by businesses is offered by DWaaS without the need for any kind of on-premise structural background. DWaaS is diversified into a number of applications such as finance, healthcare, retail, and IT. This is because it helps streamline data management and improves business intelligence for fast-in-time decisions. Key drivers for the market include cloud computing adoption at significant speed, an awakening of data-driven strategies, and advancement in big data analytics, and artificial intelligence. The increasing importance of disaster recovery and backup solutions and the need for operational efficiency add to the market's favor. Emerging markets actively involved in investment in IT and more digital transformation would give impetus to the ever-flourishing market. Recent developments include: June 2022: Amazon Web Services has a partnership with HCL Technologies. HCL can provide enterprise data warehousing solutions that are scalable, economical, secure, and high-performing thanks to AWS. HCL Technologies receives data-driven business insights from Amazon Redshift that are supported by cutting-edge AI/ML capabilities to enhance operational effectiveness, decision-making, and accelerate time to market., January 2022: Firebolt’s data warehouse firm secured $100 million at a valuation of USD 1.4 billion to offer speedier, less expensive analytics on enormous data volumes. It planned to use the money to expand its business and hire more skilled employees to better serve the data warehousing industry while also continuing to invest in its technology infrastructure., June 2022: Yellow Brick, a US company located in California, has debuted the most recent iteration of their data warehouse technology. The yellow brick cloud-native elastic data warehouse expands to meet growing business data demands, works both on-premises and in the cloud, and has a clear pricing structure with predictable costs.. Key drivers for this market are: Big Data Analytics Data-Driven Decision Making Operational Efficiency. Potential restraints include: Service Provider Dependency High Costs Integration Challenges. Notable trends are: Growing Expansion of Cloud Computing to boost the market growth.

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Data Warehousing Market Size 2025-2029

The data warehousing market size is forecast to increase by USD 32.3 billion, at a CAGR of 14% between 2024 and 2029.

The market is experiencing significant growth, driven by the shift from traditional on-premises solutions to cloud-based Software-as-a-Service (SaaS) offerings. Advanced storage technologies, such as columnar databases and in-memory storage, are also fueling market expansion. However, data privacy and security risks continue to pose challenges, necessitating strong security measures. Companies must prioritize data protection and compliance with regulations like GDPR and HIPAA to mitigate risks and maintain customer trust. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) technologies is transforming technology, enabling advanced analytics and insights. Overall, these trends and challenges are shaping the future of the market, offering opportunities for innovation and growth.

What will be the Size of the Market During the Forecast Period?

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The market encompasses the provision of storage systems and related services for managing and analyzing data from various operational and analytical processes. These data and component repositories facilitate statistical analysis, data mining, import export analysis, and other forms of advanced data processing. Virtual and meta data inventory solutions enable real-time views of data from multiple sources, including unstructured, semi-structured, and structured data. Middleware and ETL (Extract, Transform, Load) solutions facilitate data integration from diverse data sources.
Emerging economies and legacy applications continue to drive market growth, as businesses seek to leverage data for competitive advantage. AI and ML technologies are increasingly integrated into systems to enhance data analysis capabilities. The IT & telecom and healthcare industries are significant end-users, with growing demand for solutions in sectors such as finance, retail, and manufacturing.

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

The research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  On-premises
  Hybrid
  Cloud-based


Type

  Structured and semi-structured data
  Unstructured data


End-user

  BFSI
  Healthcare
  Retail and e-commerce
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan
    South Korea


  Middle East and Africa



  South America

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

The on-premises market caters to organizations that prefer installing and managing solutions on their own servers. This model's appeal is due to factors like data security, control, and end-to-end quality control. On-premises solutions offer workflow streamlining, reporting, and faster response times. The data's security is a significant concern, and the complete ownership and management by the buyer organization ensure its protection.

Key drivers for this segment include the need for data governance, compliance, and the ability to integrate various data sources seamlessly. Additionally, industries such as finance, healthcare, and manufacturing, where data security is paramount, often opt for on-premises solutions. These systems enable advanced analytics, business intelligence, and real-time data processing, providing valuable insights for strategic decision-making.

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The on-premises segment was valued at USD 11.33 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 50% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market continues to thrive due to the region's early adoption of advanced technologies in industries such as manufacturing, retail, and banking, financial services, and insurance (BFSI). The presence and penetration of leading companies In these sectors fuel market growth. With several advanced economies in North America, the requirement for data warehousing, including data processing, outsourcing, and Internet services and infrastructure, is significant.

Additionally, the integration of cloud-based services, automation solutions, and AI with operational and supply chain processes

The Cloud Data Warehouse Market Report is Segmented by Offerings (DWaaS, Data Storage), by Deployment (Public Cloud, Private Cloud, Hybrid Cloud), by End-User (BFSI, IT and Telecom, Government, Healthcare, Retail, Other End-Users), by Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Data source, codes, and descriptions for defining housing instability in Veterans Health Administration medical records.

The Enterprise Data Warehouse (EDW) market is experiencing robust growth, projected to reach a market size of $3455.2 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.6% from 2025 to 2033. This expansion is driven by the increasing need for organizations to consolidate data from disparate sources for improved business intelligence, enhanced decision-making, and streamlined operational efficiency. The rising adoption of cloud-based EDW solutions, fueled by scalability, cost-effectiveness, and accessibility, is a significant factor contributing to this growth. Furthermore, the expanding use of advanced analytics techniques, such as data mining and predictive modeling, within EDWs is further boosting market demand across diverse sectors including healthcare, finance, and retail. The market is segmented by deployment type (web-based and server-based) and application (information processing, data mining, and analytical processing), reflecting the diverse functionalities and deployment models available. Key players, including industry giants like Amazon Web Services, Microsoft, and Google, alongside specialized vendors like Teradata and Snowflake, are aggressively innovating to meet the evolving needs of enterprises. The competitive landscape is characterized by both established players and emerging technology providers. The ongoing trend towards data democratization, where access to data and analytics is broadened within organizations, is fostering demand for user-friendly EDW interfaces and tools. While regulatory compliance and data security remain key restraints, the overall market outlook for EDWs remains positive, with substantial growth potential driven by the continuous rise in data volumes, the growing need for real-time analytics, and increasing investments in digital transformation initiatives across industries globally. The North American market currently holds a significant share due to early adoption and technological advancements, but the Asia-Pacific region is projected to witness rapid growth in the coming years due to increased digitalization and technological infrastructure development.

Objective The aim of this study was to develop an accurate regional forecast algorithm to predict the number of hospitalized patients and to assess the benefit of the Electronic Health Records (EHR) information to perform those predictions. Materials and Methods Aggregated data from SARS-CoV-2 and weather public database and data warehouse of the Bordeaux hospital were extracted from May 16, 2020, to January 17, 2022. The outcomes were the number of hospitalized patients in the Bordeaux Hospital at 7 and 14 days. We compared the performance of different data sources, feature engineering, and machine learning models. Results During the period of 88 weeks, 2561 hospitalizations due to COVID-19 were recorded at the Bordeaux Hospital. The model achieving the best performance was an elastic-net penalized linear regression using all available data with a median relative error at 7 and 14 days of 0.136 [0.063; 0.223] and 0.198 [0.105; 0.302] hospitalizations, respectively. Electronic health r..., Aggregated data from 2020-05-16 to 2022-01-17 regarding Bordeaux Hospital EHR. Bordeaux hospital data warehouse was used, during the pandemic, to describe the current state of the epidemic at the hospital level on a daily basis. Those data were then used in the forecast model including: hospitalizations, hospital and ICU admission and discharge, ambulance service notes and emergency unit notes. Concepts related to COVID-19 were extracted from notes by dictionary-based approaches (e.g. cough, dyspnoea, covid-19). Dictionaries were manually created based on manual chart review to identify terms used by practitioners. Then, the number and proportion of ambulance service calls or hospitalization in emergency units mentioning concepts related to covid-19 were extracted. Due to different data acquisition mechanisms, there was a delay between the occurrence of events and the data acquisition. It was of 1 day for EHR data, 5 days for department hospitalizations and RT-PCR, 4 days for weather, 2..., Data are stored in a .rdata file. Please use R (https://www.r-project.org/) software to open the data.

Data Warehouse As A Service (DWaaS) Market size was valued at USD 7.7 Billion in 2023 and is projected to reach USD 23.9 Billion by 2030, growing at a CAGR of 29.4% during the forecast period 2024-2030.

Global Data Warehouse As A Service (DWaaS) Market Drivers

The market drivers for the Data Warehouse As A Service (DWaaS) Market can be influenced by various factors. These may include:

Data Explosion and Complexity: Scalable and adaptable data processing and storage solutions are required due to the growing amount, diversity, and velocity of data produced by enterprises. Solutions from DWaaS providers are capable of effectively managing big and varied datasets.
Cost Efficiency: By removing the requirement for businesses to make significant investments in on-premises equipment, DWaaS can save costs. It provides a pay-as-you-go strategy that enables companies to scale resources in accordance with their present need.
Flexibility and Scalability: DWaaS systems offer flexibility to accommodate expanding data needs. By scaling up or down in response to demand, organisations may make sure they have the resources they need without going overboard.
Concentrate on Core Competencies: Businesses can concentrate on their core competencies by contracting with a serviprovider to handle their data warehouse. Smaller organisations who lack the resources to manage complicated data infrastructure will especially benefit from this.
Emergence of Cloud Computing: DWaaS has been greatly aided by the increasing use of cloud computing. Agility, accessibility, and simplicity of interface with other cloud services are provided by cloud-based data warehousing services.
Business intelligence (BI) and advanced analytics: The need for reliable data warehouse solutions has been fueled by the growing significance of BI and advanced analytics tools. DWaaS solutions frequently interface with analytics software, allowing businesses to extract insightful information from their data.
Globalisation and Remote labour: Accessible and centralised data processing and storage solutions are essential as businesses go global and accept remote labour. Collaboration and data access from any location can be facilitated with DWaaS.
Data Security and Compliance: For organisations, data security and compliance are now top priorities. DWaaS providers solve these issues and help organisations comply with regulations by investing in strong security protocols and compliance certifications.
Technological Developments: One factor driving the expansion of DWaaS is the development of quicker and more effective databases and processing engines. This makes it possible for providers to provide their clients with enhanced capabilities and performance.

The Enterprise Data Warehouse (EDW) market is experiencing robust growth, driven by the increasing need for businesses to consolidate and analyze large volumes of data for improved decision-making. The market, valued at $5075.2 million in 2025, is projected to exhibit significant expansion over the forecast period (2025-2033). While a precise CAGR is unavailable, considering the strong market drivers such as the rising adoption of cloud-based solutions, the growing demand for advanced analytics, and the increasing focus on data-driven strategies across various industries, a conservative estimate of the Compound Annual Growth Rate (CAGR) would fall within the range of 10-15% for the forecast period. This growth is fueled by the transition to cloud-based EDW solutions, offering scalability, cost-effectiveness, and enhanced accessibility compared to on-premise systems. Furthermore, the rising adoption of advanced analytics techniques like machine learning and artificial intelligence is further driving the demand for robust EDW solutions capable of handling and processing massive datasets effectively. The market segmentation reveals a strong preference for web-based solutions and a significant demand across applications like information processing, data mining, and analytical processing. Leading players like Amazon Web Services (AWS), Microsoft, and Snowflake are at the forefront of innovation, constantly introducing new features and capabilities to enhance the functionalities and user experience of their EDW offerings. The geographical distribution of the market shows substantial growth across North America and Europe, driven by higher technology adoption rates and increased investments in digital transformation initiatives. However, Asia-Pacific is anticipated to emerge as a rapidly growing region in the coming years, fueled by rising digitalization and the expanding adoption of EDW solutions among large enterprises and government organizations. The key restraints to market growth include the high initial investment costs associated with implementing EDW systems, the need for specialized skills and expertise for effective management and utilization, and concerns about data security and privacy. However, these challenges are progressively being addressed through the emergence of cost-effective cloud-based solutions and the development of user-friendly interface solutions. The market is expected to witness further consolidation as leading vendors continue to expand their product portfolios and service offerings to cater to the ever-evolving needs of the enterprises.

Active Data Warehousing Market size was valued at USD 15.26 Billion in 2023 and is projected to reach USD 41.5 Billion by 2030, growing at a CAGR of 10.5% during the forecast period 2024-2030.

Global Active Data Warehousing Market Drivers

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

Demand for Real-Time Analytics: By enabling quicker data processing, active data warehousing systems make real-time or almost real-time analytics possible. The ADW industry is mostly driven by the rising need for real-time insights to facilitate quick and data-driven decision-making.

Increasing Data Volumes: More sophisticated data processing and storage solutions are required due to the exponential increase in data created by enterprises, IoT devices, social media, and other sources. Systems for active data warehousing are capable of handling massive data volumes and supporting this kind of analysis with ease.

Needs for Business Intelligence and Reporting: Data-driven insights are becoming more and more important for enterprises to use when making strategic decisions. By enabling advanced analytics, reporting, and business intelligence, active data warehousing enables enterprises to extract valuable insights from their data.

Cloud Adoption: One significant development is the uptake of cloud-based data warehousing systems. Systems for active data warehousing are frequently offered as cloud services, providing scalability, flexibility, and affordability. The market is being driven significantly by this move to the cloud.

Integration with Advanced Technologies: The capabilities of Active Data Warehousing systems are improved through integration with cutting-edge technologies like machine learning, artificial intelligence, and predictive analytics. Companies are eager to use these technologies to obtain a competitive advantage.

Regulatory Compliance: To maintain compliance and safe data handling, enterprises have been investing in strong data warehousing solutions, such as ADW, in response to growing requirements surrounding data management and privacy, such as the General Data Protection Regulation (GDPR).

Demand for Hybrid Data Warehousing: A lot of businesses are merging on-premises and cloud-based data warehousing solutions in a hybrid strategy. Organizations’ changing needs are met by active data warehousing systems that provide seamless interaction across on-premises and cloud settings.

Cost-Effectiveness: When compared to more conventional data warehousing techniques, active data warehousing systems frequently provide higher performance and cost-efficiencies. This element motivates businesses to spend money on ADW in order to reduce the cost of data processing.