Selbyville, Delaware, Oct. 02, 2019 (GLOBE NEWSWIRE) --

The data warehousing market is expected to witness significant growth from 2019 to 2025 as the technology enables an efficient way of storage and analysis of enterprise big data. The technology is rapidly replacing legacy Business Intelligence (BI) tools and traditional database management systems. Data warehouses facilitate storage of disparate data by transforming and standardizing various data types into one common format. Large volumes of data can be stored and retrieved much quickly from a data warehouse compared to operational systems.

The on-premise data warehousing market will witness a steady growth rate due to enhanced security and low network latency. On-premise data warehouses do not suffer from network lags and offer faster query processing. The on-premise systems offer better data security to enterprises as critical enterprise data is hosted on in-house data centers. Integration of other services with the on-premise data warehouse is easier due to the presence of a single server.

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The manufacturing data warehousing market will witness the CAGR of over 15% due to advent of Industry 4.0 and the increasing trend of cyber-physical systems in production facilities, which also led to the generation of huge data. The manufacturing enterprises are making huge investments in IIoT and integrating production management systems with data warehousing solutions for accurate and data-driven production planning.

The statistical analysis segment in data warehousing market is projected to grow sharply over the forecast timeline. Statistical analysis involves the collection & analysis of quantitative data stored in a data warehouse, to find underlying statistical relationships. The demand for statistical analysis tools will increase as government and research organizations adopt these tools for historic data analysis and determine useful data patterns. The statistical analysis offers high data re-usability (data recycling) for different sets of conditions, facilitating enterprises to build forecast models and predictive analysis algorithms with minimum changes in the data set.

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North America is projected to dominate the data warehousing market in 2025 with a share of above 40% due to high adoption of cloud services, robust ICT infrastructure, and the rising popularity of big data analytics will support market growth. Enterprises in the region are migrating from traditional data warehouse appliances to cloud-based solutions for reducing hardware dependency, increasing scalability, and cost-effectiveness.

The companies operating in the data warehousing market are focusing on offering new products and services to gain market share. As the demand for data warehousing solutions increases, the competitive landscape is expected to become more intense with key vendors focusing more on aggressive pricing and technology development to stay ahead of competition. Some key players include AWS, IBM, Google, Microsoft Corporation, Oracle Corporation, etc.

Browse key industry insights spread across 265 pages with 398 market data tables and 31 figures & charts from the report, “Data Warehousing Market By Data Type (Structured, Unstructured), Deployment Model (On Premise, Cloud, Hybrid), Organization Type (SMEs, Large Enterprises), Offering (Statistical Analysis, Data Mining Tools, ETL Solutions), Application (Retail, Telecom & IT, BFSI, Manufacturing, Healthcare, Government), Industry Analysis Report, Regional Outlook, Competitive Market Share & Forecast 2025” in detail along with the table of contents:

https://www.gminsights.com/industry-analysis/data-warehousing-market

Table of Contents (ToC) of the report:

Chapter 3.   Data Warehousing Industry Insights

3.1.  Introduction

3.2.  Industry segmentation

3.3.  Industry landscape, 2014 – 2025

3.4.  Data warehousing evolution

3.5.  Data warehousing architecture analysis

3.6.  Global industry ecosystem analysis

3.7.  Technology & innovation landscape

3.8.  Regulatory landscape

3.9.  Industry impact forces

3.10.   Porter’s analysis

3.11.   PESTEL analysis

3.12.   Growth potential analysis

Browse Complete Table of Contents (ToC) @

https://www.gminsights.com/toc/detail/data-warehousing-market

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