Global Data Warehouse as a Service Market trends and forecast 2022-2028
Businesses may automate time-consuming administrative, managerial, and tuning processes by using data warehouse as a service (DWAAS). Additionally, there is an increasing need to integrate data, both structured and unstructured, as data quantities in enterprises are expanding swiftly.
Global Data Warehouse as a Service Market size was valued at USD 3.26 billion in 2021 and is projected to reach USD 12.10 billion by 2028, growing at a CAGR of 20.6% from 2022 to 2028.
Businesses may automate time-consuming administrative, managerial, and tuning processes by using data warehouse as a service (DWAAS). Additionally, there is an increasing need to integrate data, both structured and unstructured, as data quantities in enterprises are expanding swiftly. DWAAS is the most practical and economical option for businesses. Additionally, the cloud-based data warehouse enables businesses to develop a distinct analytical capabilities quickly and easily. Data is transformed into information that people can immediately access and utilise to make changes using data warehouse as a service. Many benefits come with data warehouse-as-a-service, including lower costs, improved performance, better scalability, flexibility, and a quicker time to value.
The market is being driven by a growth in data volume, and governmental policies are being strengthened by the usage of column-oriented data warehousing platforms and private cloud services. The market for data warehouses as services has expanded significantly over the years as critical data storage has become a crucial factor for major corporations that deal with a large amount of data that must be accessible by the organisation. During the forecasted period, the market is anticipated to expand in important regions.
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The Major Players in The Global Data Warehouse as a Service Market:
- Oracle Corporation
- SAP SE
- Microsoft Corporation
- Action Corporation
- Amazon Web Services
- Mark Logic Corporation
- Micro Focus
- Netavis GmbH
- Teradata Corporation
- Veeva Systems Inc
Market has segmented the Global Data Warehouse as a Service Market on the basis of type, application, and region:
- Enterprise Data Warehouse (EDW)
- Operational Data Store (ODS)
- Data Mart
By Application :
- Business Intelligence
- Customer Analytics
- Data Modernization
- Operational Analytics
- Predictive Analytics
By Regional Outlook (Revenue, USD Billion, 2022 – 2028)
- North America (U.S., Canada, Mexico)
- Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, Southeast Asia, Rest of APAC)
- Middle East & Africa (GCC Countries, South Africa, Rest of MEA)
- South America (Brazil, Argentina, Rest of South America)
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Covid-19 Impact and Recovery Analysis on Industry:
The Covid-19 outbreak and the subsequent lockdown restrictions enforced by governments worldwide have had a severe effect on capital investments in several different industries. As a result, the global market for DWaaS (Data warehouse as a service) has experienced slow development. Since the majority of businesses operating in various industries had to close their operational and manufacturing facilities. The market has steadily grown since the global financial crisis as a result of enhanced digital transformation. On the plus side, businesses everywhere are embracing cutting-edge technology like cloud computing and moving to cloud data warehouses as a result of the virus's spread.
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- Visualize the composition of the Global Data Warehouse as a Service Market products in terms of Product and application highlighting the critical commercial assets and players.
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- PDF report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.
Table of Content:
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Deployment
3.3 By Application
To be continued…….
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