Data Warehousing Market: Global Industry Analysis and Forecast (2022-2029)

Data Warehousing Market size was valued at US$ 25.96 Bn. in 2021 and the total revenue is expected to grow at a CAGR of 10.7% from 2022 to 2029, reaching nearly US$ 58.54 Bn.
Data Warehousing Market Overview:
Data Warehousing Market is expected to reach US$ 47.77 Bn. by 2029. Databases give real-time information, whereas warehouses store information that may be used for large-scale analytical queries. An OLAP system, or online database query answering system, is a data warehouse. This report focuses on the different segments of the Data Warehousing market (Offering Type, Data Type, Deployment Mode, Organization Size, Industry Vertical, and Region). This report examines the major market players and regions in depth (North America, Asia Pacific, Europe, Middle East & Africa, and South America). It's a thorough examination of today's quick advances in a variety of sectors. Facts and figures, visualisations, and presentations are utilised to demonstrate the core data analysis from 2017 through 2021. The market drivers, restraints, opportunities, and challenges for Data Warehousing are examined in this report. The MMR report's investment suggestions are based on a thorough examination of the current competitive environment in the Data Warehousing market.To know about the Research Methodology :- Request Free Sample Report

&COVID-19 Impact on the Data Warehousing Market:

The data warehousing market has grown significantly in recent years; however, due to the onset of the COVID-19 pandemic in 2021, the market was experienced a sharp decline. This is due to governments implementing lockdown in the majority of countries and halting travel around the world to prevent the virus from spreading. Following the recovery from the COVID-19 pandemic, the data warehousing market is expected to grow during the forecast period. Various firms around the world have implemented a work-from-home culture for their staff, which is driving demand for cloud-based data warehousing software to manage and analyses crucial data, resulting in significant market growth potential.
Data Warehousing Market Dynamics:
Virtual data warehousing is becoming more popular.

A virtual data warehouse provides a streamlined view of the Meta data inventory. It makes use of middleware to connect to many data sources. It's quick because it allows users to filter the most critical data from a variety of legacy apps. Metadata is stored in virtual data warehousing and is utilised to create a logical corporate data model. Furthermore, developing a virtual data warehouse takes less time and money, and there is less chance of data loss. It's a schema-free model with no bearing on IT strategy. If the business needs to change, it can easily accommodate them. Changing the models and redeveloping the views from the virtual mart or store can be done in a fraction of the time after adopting virtual data warehousing. Furthermore, by removing physical data replication and its accompanying storage and support requirements, data virtualization decreases both time to solution and continuing operational expenses by up to fourfold.

Furthermore, as the volume of unstructured data grows, the data lake is expected to become more popular. Data Lake is a modern technology that saves both structured and unstructured data in its raw form and processes it on demand afterwards. Databases and data warehouses are expected to play an important role during the forecast period.

Increased use of AI in data warehouses.

Data warehousing systems are being disrupted by artificial intelligence (AI) and machine learning (ML) technology. AI and machine learning provide a smart data warehouse that automatically optimises and converts data to meet user requirements. These technologies are being used by businesses to eventually acquire the ability to convert data into value repeatedly and continually, which is expected to set them apart from their competitors and make them more nimble and innovative. It also enables automated knowledge discovery, prediction, and forensic analysis using machine learning, as well as the automatic extraction of latent predictive information from massive databases. As a result, the adoption of these technologies for data warehousing solutions is expected to provide significant market growth opportunities during the forecast period.
Data Warehousing Market Segment Analysis:
The Data Warehousing Market is segmented by Offering Type, Data Type, Deployment Mode, Organization Size, and Industry Vertical.

Based on the Offering Type, the market is segmented into ETL Solutions, Statistical Analysis, Data Mining, and Others. ETL Solutions segment is expected to hold the largest market share of xx% by 2029. This is due to an increase in the demand for complicated data management, operational resilience, advanced data profiling, and cleansing, which are all expected to boost the growth of the market segment during the forecast period 2022-2029.



Data mining segment is expected to grow rapidly at a CAGR of xx% during the forecast period 2022-2029. This is due to an increase in demand for data mining solutions among enterprises for searching diverse patterns of data in order to increase sales and profit.

Based on the Data Type, the market is segmented into Unstructured Data, and Semi-Structured & Structured Data. Unstructured Data type segment is expected to grow rapidly at a CAGR of xx% during the forecast period 2022-2029. The existence of critical underlying information and organisations' use of unstructured data for advanced analytics are two important supporting factors in the growth of the unstructured data warehousing market. Another factor for the unstructured data segment's high growth during the forecast period is the increased adoption of flexible cloud data warehouses with unstructured data.

Based on the Industry Vertical, the market is segmented into BFSI, IT & Telecom, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others. BFSI segment is expected to grow rapidly at a CAGR of xx% during the forecast period 2022-2029. BFSI organisations' extensive usage of data mining and big data analytics has boosted the adoption of data warehousing solutions. Supplementing the data warehousing market requirement, these institutions are progressively employing solutions for predictive fraud analytics, credit risk measurement, recognising bogus insurance claims, and assuring government compliance. With connected devices such as ATMs, mobile banking, and smart credit cards, the Internet of Things has spurred demand for Big Data analytics and data warehousing in the financial services industry.
Data Warehousing Market Regional Insights:
The North American region is expected to dominate the Data Warehousing Market during the forecast period 2022-2029. The North American region is expected to hold the largest market share of xx% by 2029. Growth in demand for automated analytics for consumer behaviour analytics, fraud and risk identification, and improved decision making for productivity and business improvement are among the key factors driving the North American data warehousing market.

Asia Pacific region is expected to grow rapidly at a CAGR of xx% during the forecast period 2022-2029. This is due to an increase in data storage and analytics requirements of organisations in various industry verticals like as BFSI, IT & telecom, government, and others in the Asia-Pacific region.

The objective of the report is to present a comprehensive analysis of the Global Data Warehousing Market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants.

PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market has been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.

The reports also help in understanding the Global Data Warehousing Market dynamic and structure by analyzing the market segments and projecting the Global Data Warehousing Market size. Clear representation of competitive analysis of key players by Distribution Channel, price, financial position, product portfolio, growth strategies, and regional presence in the Data Warehousing Market make the report investor’s guide.
Data Warehousing Market Scope: Inquire before buying



Global Data Warehousing Market


Report Coverage
Details


Base Year:
2021
Forecast Period:
2022-2029


Historical Data:
2017 to 2021
Market Size in 2021:
US $ 25.96 Bn.


Forecast Period 2022 to 2029 CAGR:
10.7%
Market Size in 2029:
US $ 58.54 Bn.


 Segments Covered:
by Offering Type
• ETL Solutions
• Statistical Analysis
• Data Mining
• Others


by Data Type
• Unstructured Data
• Semi-Structured & Structured Data


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
• Others



Data Warehousing Market, by Region
• North America
• Europe
• Asia Pacific
• South America
• Middle East and Africa
Data Warehousing Market Key Players
• AWS
• 1010DATA
• Accur8Software
• Actian Corp
• AtScale, Inc.
• Attunity
• Cloudera, Inc.
• Dell
• Google
• IBM Corporation
• Informatica
• Microfocus
• Microsoft Corporation
• MarkLogic Corporation
• Netavis Software Gmbh
• Oracle Corporation
• Panoply Ltd.
• Pivotal Software, Inc.
• SAP SE
• Sigma Computing
• Snowflake, Inc.
• Teradata
• Talend
• SAS Institute, Inc.

Frequently Asked Questions:

1] Which region is expected to hold the highest share in the Data Warehousing Market?
Ans. North America is expected to hold the highest share in the Data Warehousing Market.

2] Who are the top key players in the Data Warehousing Market?
Ans. AWS, 1010DATA, Accur8Software, Actian Corp, AtScale, Inc., and Attunity are the top key players in the Data Warehousing Market.

3] Which segment is expected to hold the largest market share in the Data Warehousing Market by 2029?
Ans. ETL Solutions segment is expected to hold the largest market share in the Data Warehousing Market by 2029.

4] What is the market size of the Data Warehousing Market by 2029?
Ans. The market size of the Data Warehousing Market is expected to reach US $ 58.54 Bn. by 2029.

5] What was the market size of the Data Warehousing Market in 2021?
Ans. The market size of the Data Warehousing Market was worth US $ 25.96 Bn. in 2021.