Data Warehousing Market Size is Estimated to Reach USD 51.18 Billion by 2028 at a CAGR of 10.7% | Valuates Reports

BANGALORE, India, June 24, 2021 /PRNewswire/ -- The Data Warehousing Market is Segmented by Type by Type of Offering (Extraction, Transportation & Loading (ETL) Solutions, Statistical Analysis, Data Mining, and Others), Type of Data (Unstructured and Semi-Structured & Structured), Deployment (On-Premise, Cloud, and Hybrid), Organization Size (Small & Medium Sized Enterprises and Large Enterprises), and Industry Vertical (BFSI, Telecom & IT, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast 2020 - 2028.  It is published by Valuates Reports in the Data Management Category.

The global data warehousing market size was valued at USD 21.18 Billion in 2019, and is projected to reach USD 51.18 Billion by 2028, growing at a CAGR of 10.7% from 2020 to 2028.

Major factors driving the growth of the data warehousing market are:

• Increase in need for a dedicated storage system with analytical querying capabilities on large volumes of data that are continuously surging.
• Rise in demand for column-oriented data warehouse solutions to perform advanced analytics is boosting the data warehousing market.
• The surge in need for low-latency, real-time view, and analytics on operational data.

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TRENDS INFLUENCING THE GROWTH OF THE DATA WAREHOUSING MARKET

Data warehousing is critical for enterprises to utilize the growing inflow of data streams from various sources in innovative ways and for the adoption of modern business intelligence tools. This in turn is expected to increase the adoption and thereby drive the data warehousing market growth.

The emerging trend of adopting virtual data warehousing is expected to drive the data warehousing market. The development of a virtual data warehouse is due to its features such as being faster, cost-efficient, and less chance of data loss. It is a schema-free model that is unaffected by IT strategy. If modifications are made in the business, it can readily accommodate them. After implementing virtual data warehousing, changing the models and redeveloping the views from the virtual mart or store can be done in a fraction of the time. 

The surge in the Application of AI in Data warehouses is expected to increase the growth of the data warehousing market size. The application of AI and ML allows for the creation of a smart data warehouse that uses machine learning to automatically optimize and modify data to meet user needs. Enterprises are using these technologies in order to eventually attain the ability to iteratively and continually convert data into value, which is expected to set them apart from their competitors and make them more nimble and innovative. As a result, the adoption of these technologies for data warehousing solutions is likely to provide significant market growth possibilities over the forecast period.

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DATA WAREHOUSING MARKET SHARE ANALYSIS

Based on type, the ETL solutions segment is expected to hold the largest market share during the forecast period.

This is due to an increase in the demand for complicated data management, operational resilience, enhanced data profiling, and cleansing, which are all projected to fuel market growth in the near future.

Based on deployment type the On-Premise is projected to be the most lucrative segment.

Based on region, North America is expected to hold the largest market share during the forecast period.

Growth in demand for automated analytics for consumer behavior analytics, fraud, and risk identification, and improved decision-making for productivity and business improvement are some of the primary reasons driving the North American market. However, due to an increase in data storage and analytics requirements of organizations in various industry verticals like BFSI, IT & telecom, government, and others, Asia-Pacific is predicted to develop at a high rate throughout the projection period.

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DATA WAREHOUSING MARKET SEGMENTATION

By Type of Offering

• ETL Solutions
• Statistical Analysis
• Data Mining
• Others

By Data Type

• Unstructured Data
• Semi-Structured & Structured Data

By Deployment Model

• On-Premise
• Cloud
• Hybrid

By Enterprise Size

• Large Enterprises
• Small & Medium Enterprises

By Industry Vertical

• BFSI
• IT & Telecom
• Government
• Manufacturing
• Retail
• Healthcare
• Media & Entertainment
• Others

By Region

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Italy
• Rest of Europe
• Asia-Pacific
• China
• Japan
• India
• South Korea
• Australia
• Rest of Asia-Pacific
• LAMEA
• Latin America
• Middle East
• Africa

Key Companies Covered in this report are

• Actian Corporation
• Amazon.com. Inc.
• Cloudera, Inc.
• Google Inc.
• IBM Corporation
• Microsoft Corporation
• Oracle Corporation
• SAP SE
• Snowflake, Inc.
• Teradata Corporation

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SIMILAR REPORTS

-  The global Data Warehouse as a Service (DWaaS) market is projected to reach USD 3218.6 Million by 2027, from USD 1287 Million in 2020, at a CAGR of 13.5% during 2021-2027.Data warehousing as a service (DWaaS) is an outsourcing model in which a service provider configures and manages the hardware and software resources required for a data warehouse, while the client supplies the data and pays for the managed service.

-  The global Data Warehouse Management Software market is projected to reach USD 2071.3 Million by 2026, from USD 1894.7 Million in 2020, at a CAGR of 8.6%% during 2021-2026. With the support of big data analytics software and data visualisation software, data warehouse software acts as a single central store of integrated data from numerous different sources, providing business insights.

-  Cloud Data Warehouse Market is segmented by Type Cluster Cloud Architecture, Serverless Cloud Architecture, by Application SMEs, Large Enterprises and by various regions.

-  ETL Software Market is segmented by Type Cloud based, On premise, by Application Large Enterprises(1000+ Users), Medium-Sized Enterprise(499-1000 Users), Small Enterprises(1-499 Users) and by various regions.

-  Data Mining Software is software that helps analysts to use the intersection of artificial intelligence, machine learning, statistics, and databases to mine data values in relatively large data sets.

-  Structured Data Management Software Market - Structured data is organised in a table with relationships between the rows and columns. Structured data depends on the existence of a data model – a model of how data can be stored, processed and accessed.

-  Data Warehouse Software market - Data warehouse software is a critical part of a company's or department's data ecosystem, since it retrieves, aggregates, and stores data from internal and external data sources for analysis and reporting.

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