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Data Warehousing Market: By Data Type (Unstructured Data, Semi-Structured & Structured Data), By Offering Type (ETL Solutions, Statistical Analysis, Data Mining), By Deployment Mode (On-Premise, Cloud, Hybrid), By Organization Size (SMEs, Large Enterprises), By Industry Vertical (BFSI, IT & Telecom, Government, Manufacturing, Retail, Healthcare, Media & Entertainment), And Region - Global Analysis of Market Size, Share & Trends For 2019-2021 And Forecasts To 2031
[170+ Pages Research Report] Data Warehousing Market to surpass USD 70.3 billion by 2031 from USD 23.4 billion in 2021 at a CAGR of 11.6% throughout the forecast period 2021-31.
Data warehousing is a method of creating a data warehouse that stores data from a variety of heterogeneous data sources. Furthermore, a data warehouse is being used by a variety of enterprises to increase data quality and decision-making capabilities. Furthermore, data housed in a data warehouse aids firms in providing increased business intelligence solutions to end users and gaining a competitive edge in the market. Data warehousing tools and Database Management Systems (DBMS) are used by businesses to access data stored on warehouse servers in order to support operational decisions.
Global Data Warehousing Market is expected to project a notable CAGR of 11.6% by 2031
Global Data Warehousing Market to surpass USD 70.3 billion by 2031 from USD 23.4 billion in 2021 at a CAGR of 11.6% in the coming years, i.e., 2021-2031. The market is being pushed by factors such as the growing importance of business intelligence and data analytics in enterprise management, the growing reliance on data-driven decision-making to improve business performance, and the need for regulatory governance and security. To obtain meaningful insights from the exponential expansion of data, excellent data analytics is required. BI solutions are heavily used to assist firms with improved data classifications and reporting, which has an impact on market growth.
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The ETL Solutions segment is expected to grow with the highest CAGR during 2021-31
On the basis of Offering Type, the global Data Warehousing Market is fragmented into ETL Solutions, Statistical Analysis, Data Mining, and Others. Owing to the growing demand for complicated data management, operational resilience, advanced data profiling, and cleansing, the ETL solutions segment has dominated the market in recent years and is expected over the projection period as well. The data mining segment, on the other hand, is predicted to develop at the fastest rate during the forecast period, owing to an increase in the demand for data mining solutions among the enterprises for identification of diverse data patterns to increase sales and profit.
The BFSI segment is expected to grow with the highest CAGR during 2021-31
Global Data Warehousing Market is classified on the basis of Industry Vertical into BFSI, IT & Telecom, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others. During the projection period, the BFSI segment is expected to rise rapidly. The extensive use of data mining and also big data analytics in BFSI companies has boosted the implementation of data warehousing solutions. In addition to data warehousing, these organizations are increasingly using solutions for predictive fraud analytics, credit risk monitoring, detecting bogus insurance claims, and ensuring government compliance.
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The Growing Amount of Data Produced by Enterprises
The increasing volume of data generated by businesses and the growing requirement for Business Intelligence (BI) to obtain a competitive advantage are driving the data warehousing market. The massive amounts of data generated by many business verticals are putting a strain on existing company resources, prompting them to turn to data warehousing solutions for effective, flexible, and scalable storage. Advanced data mining and BI technologies can be used to extract useful business insights from this data, allowing users to improve operational efficiency, make better decisions, strengthen client retention, and increase income streams.
Higher Use of AI in Data Warehouses
Artificial intelligence (AI) and machine learning (ML) technology are disrupting data warehousing solutions. A smart data warehouse powered by AI and machine learning automatically optimises and converts data to match user needs. Businesses are using these technologies to gain the ability to translate data into value in a consistent and repeatable manner, which is expected to set them apart from their opponents and make them more dexterous and innovative.
Lack of Expertise and Resources
Companies need employees that understand cloud architecture, technical expertise of integrating data systems, and cloud security and governance to manage a successful cloud data warehouse. As a result, the market's demand for data warehouse services is anticipated to be affected by a scarcity of trained resources.
Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis
Global Data Warehousing Market is segmented based on regional analysis into five major regions: North America, Latin America, Europe, Asia Pacific and the Middle East and Africa. In the APAC area, there is a growing need for cloud data warehouses that are both cloud-driven and cloud-supported, leading in increased expenditures and technological breakthroughs across a variety of industries. Manufacturing, retail, and e-commerce are the most important industry verticals in the APAC area, followed by BFSI. Lower operational costs and improved productivity have become important problems for local manufacturers as a result of global competition, and they must be addressed swiftly to remain competitive in the market.
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Businesses are experiencing new challenges due to COVID-19 pandemic and the growth of remote work (work from home). The current economic recession, which has been worsened by COVID-19, highpoints the need for different business systems. The adoption of cloud computing and migration to cloud data warehouses has become critical for enterprises. This will assist firms in maintaining a stable company situation in the short term while aiming for long-term growth and expansion.
Report Attribute |
Details |
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Market size value in 2021 |
USD 23.4 billion |
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Revenue forecast in 2031 |
USD 70.3 billion |
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Growth Rate |
CAGR of 11.6% from 2021 to 2031 |
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Base year for estimation |
2020 |
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Quantitative units |
Revenue in USD million and CAGR from 2021 to 2031 |
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Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
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Segments covered |
Data Type, Offering Type, Deployment Mode, Organization Size, Industry Vertical, and Region |
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Regional scope |
North America, Europe, Asia Pacific, Latin America, Middle East & Africa (MEA) |
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Key companies profiled |
Actian Corporation, Amazon.com, Inc., Cloudera, Inc., GOOGLE LLC, INTERNATIONAL BUSINESS MACHINES CORPORATION, MICROSOFT CORPORATION, ORACLE CORPORATION, SAP SE, Snowflake Inc., TERADATA CORPORATION, and Other Prominent Players. |
Data Warehousing Market size was estimated at USD 23.4 billion in 2021 and is expected to reach USD 70.3 billion in 2031.
Databases provide real-time data, whereas warehouses hold data that may be used in large-scale analytical queries. A data warehouse is an OLAP system, or online database query answering system.
The ETL Solutions segment accounted for the largest Data Warehousing Market share.
Key players in the Data Warehousing Market include Actian Corporation, Amazon.com, Inc., Cloudera, Inc., GOOGLE LLC, INTERNATIONAL BUSINESS MACHINES CORPORATION, MICROSOFT CORPORATION, ORACLE CORPORATION, SAP SE, Snowflake Inc., TERADATA CORPORATION, and Other Prominent Players.
The industry's growth is being fueled by the growing demand for next-generation business intelligence and the growing volume of data generated by businesses.
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