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Enterprise Data Warehouse Market by Offering (Solution, Services), Organization Size, Deployment Mode, End-use Industry (IT & Telecommunication, Healthcare, Retail & E-commerce, BFSI, Manufacturing), and Geography—Global Forecast to 2030
Report ID: MRICT - 1041041 Pages: 230 Aug-2024 Formats*: PDF Category: Information and Communications Technology Delivery: 24 to 72 Hours Download Free Sample ReportThe Enterprise Data Warehouse Market (EDW) is projected to reach $8.15 billion by 2030, at a CAGR of 14.4% during the forecast period of 2024 to 2030. The growth of this market is driven by the increasing role of business intelligence and data analytics in enterprise management and the rising importance of data-driven decision-making to improve business performance. However, the complex utilization of data warehouse services restrains the growth of this market. Furthermore, the growing deployment of large-scale cloud data warehouses and the rising adoption of virtual data warehousing to boost the data access process are expected to create market growth opportunities. However, managing data structure and optimizations is a major challenge for the players operating in this market. The latest trend in the enterprise data warehouse market is the increasing use of machine learning and artificial intelligence. AI in data warehousing automates tasks, improves data processing, and enhances analytics. It optimizes storage, aids in decision-making, and enables dynamic adaptation for efficient information management within the warehouse.
Data-driven decision-making is crucial for enhancing business performance as it allows organizations to make their strategies based on accurate insights. By analyzing data, organizations can identify trends, customer preferences, and operational efficiencies that help to make informed and effective decisions. This approach minimizes risks, improves resource allocation, and helps to achieve business goals. To make better data-driven decisions, several organizations are adapting to enterprise data warehouse solutions (EDWs). EDWs integrate data from diverse systems and provide a cohesive and consistent dataset. This integration ensures that decision-makers are working with accurate and up-to-date information. EDWs consolidate data from various sources into a centralized repository. The solution allows decision-makers to access a comprehensive set of data without silos and enables a holistic understanding of the business. Enterprise data warehouse solutions empower organizations by providing a reliable and comprehensive foundation for data-driven decision-making, promoting efficiency, accuracy, and strategic insight across all levels of the business. Thus, the rising importance of data-driven decision-making to improve business performance helps to increase the demand for enterprise data warehouses during the forecast period.
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Based on offering, the solutions segment is projected to register the highest CAGR during the forecast period. The rising adoption of virtual data warehousing to boost the data access process, the growing need to protect the existing and prospective customers’ information, the rising need to track and modify marketing campaigns for faster and more accurate evaluation, and the increasing role of business intelligence and data analytics in enterprise management are expected to support the growth of this segment.
Based on organization size, the small & medium-sized enterprises segment is projected to register the highest CAGR during the forecast period. The increasing adoption of improved analytics and reporting capabilities that empower smaller enterprises to make data-driven decisions, the growing need to enhance efficiency in operations and scalability, the growing need to improve data quality management, and the rising adoption of EDW to streamline data management and improve insights for better decision-making are expected to support the growth of this segment.
Based on deployment mode, the cloud-based deployment segment is projected to register the highest CAGR during the forecast period. The rising adoption of cloud-based EDW for automatic updates and maintenance, the increasing use to handle large volumes of data and faster processing speed, the growing deployment of large-scale cloud data warehouses, and the rising need for advanced security measures, encryption, access control, and compliance certifications are expected to support the growth of this segment.
Based on end-use industry, the healthcare segment is projected to register the highest CAGR during the forecast period. The increasing use of solutions for predictive analysis for disease outbreaks, patient trends, and resource needs, the rising need to streamline administrative tasks, billing, and inventory management, the growing use for data exchange between different healthcare systems, and the increasing adoption of EDW solutions to aggregate patient records, medical histories, and diagnostic reports are expected to support the growth of this segment.
Healthcare data warehouse (healthcare DWH) is a digital repository of data that has been gathered from multiple sources and prepared for analysis. It contains entries from medical records, insurance claims, lab tests, pharmacy prescriptions, and population-wide research. A DWH is usually an integral part of well-designed healthcare analytics software. The growing adoption of data warehouses in healthcare to collect data from disparate sources which is siloed and fragmented. By bringing together this data from sources such as CRMs, medical records, etc., and storing them in a single and standardized format to ensure consistency and accuracy. The enterprise data warehouse is increasingly used in healthcare to remove all errors and inconsistencies.
Additionally, healthcare data often uses different terminologies and coding systems within each source system. A healthcare data warehouse standardizes these formats and ensures consistency and seamless exchange across diverse data points. Several companies are providing healthcare data warehouse solutions to measure quality and consistency such as completeness, accuracy, and timeliness. These metrics can then be used to monitor and improve data quality. For instance, in July 2022, Hewlett Packard Enterprise (U.S.) partnered with Catharina Hospital (Netherlands) to build a cloud-native analytics and data lake house to provide more accurate diagnosis, early detection, and injury prevention for patients. Such growing developments help to increase the growth of this market during the forecast period.
In 2024, North America is expected to account for the largest share of the enterprise data warehouse market, followed by Europe, Asia-Pacific, Latin America, and the Middle East & Africa. However, Asia-Pacific is slated to record the highest growth rate during the forecast period. The increasing adoption of data warehouse solutions by various departments such as healthcare and IT telecommunication, the growing demand for data integration tools and software, the rising importance of data-driven decision-making to improve business performance, and the rising growth in E-commerce along with technological innovation in countries such as China, India, and South Korea contribute to the rapid growth of this regional market.
The report includes a competitive landscape based on an extensive assessment of the key growth strategies adopted by the leading market participants in the enterprise data warehouse market in the last three to four years. The key players operating in the enterprise data warehouse market include Accur8 Software (U.S.), Virtusa Corporation (U.S.), International Business Machines Corporation (U.S.), Microsoft Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Snowflake Inc. (U.S.), HCL Technologies Ltd. (India), Amitech Solutions, Inc. (U.S.), Fusion Consulting AG (Switzerland), Micro Focus International Limited (U.K.) (A Subsidiary of OpenText Corporation), Health Catalyst, Inc. (U.S.), AtScale (U.S.), CitiusTech Inc. (U.S.), and Cloudera, Inc. (U.S.).
Particular |
Details |
Number of Pages |
230 |
Format |
|
Forecast Period |
2024-2030 |
Base Year |
2021 |
CAGR |
14.4% |
Estimated Market Size (Value) |
$8.15 billion by 2030 |
Segments Covered |
By Offering
By Organization Size
By Deployment Mode
By End-use Industry
|
Countries Covered |
North America (U.S., Canada), Europe (Germany, France, U.K., Italy, Spain, RoE), Asia-Pacific (China, Japan, India, Singapore, South Korea, RoAPAC), Latin America, and the Middle East & Africa. |
Key Companies |
Accur8 Software (U.S.), Virtusa Corporation (U.S.), International Business Machines Corporation (U.S.), Microsoft Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Snowflake Inc. (U.S.), HCL Technologies Ltd. (India), Amitech Solutions, Inc. (U.S.), Fusion Consulting AG (Switzerland), Micro Focus International Limited (U.K.) (A Subsidiary of OpenText Corporation), Health Catalyst, Inc. (U.S.), AtScale (U.S.), CitiusTech Inc. (U.S.), and Cloudera, Inc. (U.S.). |
Key questions answered in the report:
The enterprise data warehouse market is projected to reach $8.15 billion by 2030 at a CAGR of 14.4% during the forecast period.
Which end-use industry segment held the major share of the enterprise data warehouse market in 2024?
In 2024, the IT & telecommunications segment is expected to account for the largest share of the enterprise data warehouse market. The large market share of this segment is attributed to the increasing adoption of EDW to enable a comprehensive view of customer behaviors, network performance, and operational insights; the rising use for proactive maintenance, capacity planning, and the identification of potential issues; and the rising adoption of virtual data warehousing to boost data access process.
The growth of this market is driven by the increasing role of business intelligence and data analytics in enterprise management and the rising importance of data-driven decision-making to improve business performance. Furthermore, the growing deployment of large-scale cloud data warehouses and the rising adoption of virtual data warehousing to boost the data access process are expected to create market growth opportunities.
The key players operating in the enterprise data warehouse market include Accur8 Software (U.S.), Virtusa Corporation (U.S.), International Business Machines Corporation (U.S.), Microsoft Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Snowflake Inc. (U.S.), HCL Technologies Ltd. (India), Amitech Solutions, Inc. (U.S.), Fusion Consulting AG (Switzerland), Micro Focus International Limited (U.K.) (A Subsidiary of OpenText Corporation), Health Catalyst, Inc. (U.S.), AtScale (U.S.), CitiusTech Inc. (U.S.), and Cloudera, Inc. (U.S.).
Published Date: Oct-2024
Published Date: Oct-2024
Published Date: Apr-2024
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