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The enterprise data warehouse (EDW) market size is forecast to increase by USD 39.24 billion, at a CAGR of 30.08% between 2024 and 2028. The expansion of the Enterprise Data Warehouse (EDW) market hinges on various factors. These encompass the proliferation of information across industries, the heightened uptake of cloud-based EDWs, and the growing emphasis on enterprise mobility for enhanced efficiency. With the exponential growth of data across sectors, organizations seek robust EDW solutions to effectively manage and analyze vast volumes of information. Concurrently, the shift towards cloud-based EDWs offers scalability, flexibility, and cost-effectiveness, driving their widespread adoption. Additionally, the rising prevalence of enterprise mobility underscores the need for seamless access to data and analytics, prompting investments in EDWs that support mobile integration. Together, these factors fuel the growth of the EDW market, empowering businesses to leverage data-driven insights for improved decision-making and competitive advantage. It also includes an in-depth analysis of market trends and analysis, market growth analysis and challenges. Furthermore, the report includes historic market data from 2018 - 2022.
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In the realm of enterprise data management, the brain of operations lies within the Enterprise Data Warehouse (EDW), where physical recordings from various data sources are transformed into actionable insights. Traditional methods such as flat files have evolved into sophisticated structures, integrating BI tools and data engineering to streamline processes. The ingestion layer acts as a gateway, facilitating the seamless collection of data from multiple sources into a centralized collection of databases. This organized approach enables businesses to harness the full potential of their valuable assets, empowering each business unit and department with tailored data visualization tools like Tableau, PowerBI, and Qlik. Modern EDWs leverage cloud-based solutions such as Amazon Redshift and Google BigQuery, alongside legacy systems like Netezza and Exadata, ensuring scalability and flexibility to adapt to the dynamic needs of organizations in today's data-driven landscape. Our researchers analyzed the market research and growth data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
Data explosion across industries is a key factor driving the growth of the market share. The volume of information generated by industries is increasing across the world. The global volume is approximately 2.50 zettabytes, and 2.10 exabytes are generated every day. For example, 100 terabytes are uploaded on Facebook daily. Walmart handles more than one million transactions per hour and stores them in its database. Most organizations capture and store financial and non-financial transactions. The digitization of organizations increases the complexity and diversity of these sets. The use of advanced and diverse machines and devices in business processes also makes them diverse and complex.
Moreover, the use of advanced technologies, such as IoT, in industries is also increasing the volume of information. Further, the world's most recognized streaming platform, Netflix, has nearly 93 million active users per month. The pipeline of Netflix collects more than 500 billion user events per day. This comprises several things, such as error logs, video viewing activities, performance reports, and others. The storage of this needs a storage space of around 1.3 Petabytes per day. The use of enterprise warehouse solutions in all the above-mentioned applications helps to improve the processing and analysis. Therefore, information explosion across industries will drive the growth of the global EDW market.
Native machine data generation is the primary trend in the global market growth. The volume of information generated is increasing across the world. The rising adoption of echo state networks (ESN), ML, and IoT is increasing the volume of information generated by organizations. By using artificial intelligence (AI) and ML, smart systems can learn and accomplish tasks without the need to be programmed for every task. Advanced devices and sensors will eventually create native machines for their own machine-to-machine (M2M) communication and collaboration.
However, legacy systems cannot manage such a process. With the introduction of advanced sensors and IoT, is expected to become more accessible and usable in the future. Hence, enterprise warehouse software solutions are expected to witness a transformation. They are expected to be redesigned and remodeled to incorporate the consumption of native machines to improve analytics and process efficiency and support critical business systems.
Data security concerns are a major challenge to the growth of the global market. Over the years, storage solutions have become more secure currently after taking necessary precautions to safeguard user information. Despite this, there are still chances that such solutions can be affected. Distributed denial-of-service (DDoS) attacks, breaches, unsecured application programming interfaces (APIs), information loss, and account hijacking are the main security-related threats faced by the global EDW market. Backup account credentials can be easily hijacked by phishing, cross-site scripting, or social engineering techniques.
Consequently, such instances can lead to breaches and loss. In these center environments, these management software and security appliances are used to manage the security of stored information as well as to monitor any potential threats. Cyberattacks on enterprises are increasing, and, therefore, vendors are working with enterprises to establish service-level agreements (SLAs) during storage implementation. Therefore, security concerns are expected to adversely affect the global EDW market during the forecast period.
The market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the market growth and trends report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth and forecasting strategies.
Market Customer Landscape
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
The research report also includes detailed analyses of the competitive landscape of the market and information about 20 market companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
The market share growth by the information and analytical processing segment will be significant during the forecast period. A data warehouse facilitates the processing of the information it contains analytically. Basic online analytical processing (OLAP) operations, such as slice-and-dice, drill-down, drill-up, and pivoting, can be used to evaluate the information. Typically, it makes use of both summarized and comprehensive historics. The multidimensional information analysis of the information from the warehouse is the main advantage of online analytical processing over information processing. Therefore, the low-cost construct of information processing and multidimensional analysis is likely to drive the information and analytical processing segment of the global enterprise warehouse market during the forecast period.
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The information and analytical processing segment was valued at USD 3.65 billion in 2018. In 2023, the information processing and analytical processing segment dominated the global market, primarily due to the increasing globalization and the growth of the IT, BFSI, education, healthcare, and retail sectors. Data stored in a warehouse can be processed there. Querying, basic statistical analysis, and reporting using crosstabs, tables, charts, or graphs are all methods for processing the data. The construction of inexpensive web-based accessing tools that are then integrated with web browsers is a current trend in data warehouse information processing. Such factors will increase segment growth
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APAC is estimated to contribute 32% 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. Another region offering significant growth opportunities to companies is North America. Several industries, especially in the US and Canada, are early adopters of advanced technologies. Hence, the volume of data generated is high, which necessitates the use of enterprise data warehouse solutions. The technological maturity of several industries and the presence of many key companies drive the growth of the market in North America. Manufacturing, telecommunications, infrastructure development, BFSI, and retail activities are growing at a rapid pace in the region. Several companies from such industries are adopting solutions to analyze the increasing volume of data generated. Hence, vendors offer specific products that cater to the needs of such industries.
The market research report provides comprehensive data (region wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.
In the dynamic landscape of enterprise data management, the Enterprise Data Warehouse (EDW) serves as the nucleus, orchestrating data flow from diverse source systems to a centralized repository. Through extract, transform, load (ETL) processes and data integration, raw data from data collection efforts is refined into a staging area, ensuring accuracy and quality. The EDW's architecture includes a storage layer for historical transactions and a metadata module for systemic organization. Data marts offer tailored insights to business units, while a sophisticated presentation layer provides intuitive user interfaces for business users. Cutting-edge technologies like Hadoop and Apache Spark mitigate processing bottlenecks, enabling scalable data analytics. With automation driving timely insights and precise decision-making, businesses pioneer in leveraging Big Data through EDWs, benefiting from the expertise of data scientists and ETL tools to optimize YoY spend and operational efficiency across finance and HR departments within the largest organizations.
Industry Scope |
|
Report Coverage |
Details |
Page number |
174 |
Base year |
2023 |
Historic period |
2018 - 2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Accelerate at a CAGR of 30.08% |
Market growth 2024-2028 |
USD 39.23 billion |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
23.2 |
Regional analysis |
North America, Europe, APAC, Middle East and Africa, and South America |
Performing market contribution |
APAC at 32% |
Key countries |
US, China, UK, India, and Germany |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
Key companies profiled |
Accur8 Software, Alphabet Inc., Amazon.com Inc., Amitech Solutions Inc., AtScale Inc., CitiusTech Healthcare Technology Pvt. Ltd., Cloudera Inc., Fusion Consulting AG, HCL Technologies Ltd., Health Catalyst Inc., International Business Machines Corp., Microsoft Corp., Open Text Corporation, Oracle Corp., SAP SE, Snowflake Inc., Solver Inc., Tata Sons Pvt. Ltd., Teradata Corp., and Veeva Systems Inc. |
Market dynamics |
Parent market analysis, Market forecast, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period |
Customization purview |
If our market report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Product Type
7 Market Segmentation by Deployment
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
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