Data Warehouse as a Service Market – Global Industry Analysis and Forecasts (2022-2029)

Data Warehouse as a Service Market was valued at US$ 4.62 Bn. in 2021 and is expected to reach US$ 22.26 Bn. by 2029, at a CAGR of 21.7% during a forecast period.
Data Warehouse as a Service Market Overview:
Data Warehouse as a Service Market was valued at US$ 3.8 Bn. in 2021. A data warehouse is also called as an enterprise data warehouse (EDW). This is the process of creating and deploying a data warehouse in which a relational database is used to evaluate and process inquiries. It is typically employed by businesses due to the vast amount of data that can be stored in these warehouses. The warehouse is also used to store data retrieved from previous transactions. The benefits of DWaaS are comparable to those of any software-as-a-service (SaaS) solution, such as greater ease of use (especially for proof of concepts) and avoidance of new release management requirements. The service provider makes the data warehouse available to the consumer via the Internet using application programming interfaces.

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COVID19 impact on Data Warehouse as a Service Market:
The growth of numerous industries and companies throughout the COVID-19 illness period is expected to drive Data Warehouse as a Service Market Growth. Companies all over the world kept working to deliver the greatest solutions on the market. However, the enforcement of the lockdown had a significant impact on the supply chain, which hindered the shipping of electronic equipment. However, firms are constantly extending their operations, which is why the Data Warehouse as a Service Industry will grow at an exponential rate.
Data Warehouse as a Service Market Dynamics:
Some important driving factors, such as increased cloud system use, will contribute to rapid growth in the Data Warehouse as a Service Market. Furthermore, as worries about data manageability and complexity grow, the growth of data warehousing will rise. With the growing requirement for corporate intelligence, there will be an even greater demand for high-speed analytics.
• Anatomy of Data Warehouse-as-a-Service:
Some of the main components of a cloud-based data warehouse are comparable to those of an on-premise data warehouse and they are just supplied as a service through the Internet or a private network.

• Integrations with source systems: The data does not originate in the warehouse and it is derived from all of the IT systems firm employs. A data warehouse is a set of links and data feeds to source systems that enable a company to pull (or push) data into the warehouse.

• Warehouse database: Once data has been added to the warehouse, it must be saved for further processing. Most businesses store data in several databases at various levels of refinement, ranging from raw source data to highly selected analytics and reports.

• Administration services: Company data is an asset that must be handled in order to maximize its worth. The data warehouse contains a set of tools that allow a corporation to manage both the warehouse system's technical design and the data contained within it.

• Analytics capabilities: The value of the company's data is not understood until it is employed in the operations. The set of analytics capabilities provided by the data warehouse is one of the most essential aspects of it - this comprises both classic business intelligence and reporting solutions as well as new technology such as AI and Machine Learning.

The above all elements are common to all data warehouses. Cloud data warehouses and data warehouse-as-a-service differ in how these functionalities are delivered. Companies are increasingly requesting IT services and capabilities that employ scalable cloud-based infrastructure and are managed by a service provider rather to an owned system built and maintained by a company's IT department.
• Data Warehouse-as-a-Service – the Easy Choice:
Purchasing a data warehouse system is a substantial investment for any company. Data is a valuable corporate asset that must be managed and converted into meaningful insights that add value to the operations. DWaaS provides the functionality and that need to succeed in a package that is easy to deploy, simple to use, and low-cost to maintain. It provides all of the features your business demands, including the performance benefits of a cloud service and the flexibility to grow and contract as the firm's needs change.

Actian Avalanche is the cloud data warehousing solution of the future. This Data Warehouse-as-a-Service product combines the robust capabilities of Actian's on-premise solutions, such as Data Connect and Vector, with a cloud deployment architecture tailored to the demands of modern businesses. Avalanche is built to interact with the most recent business intelligence, advanced analytics, machine learning, and artificial intelligence capabilities to provide your firm with the comprehensive business insights it requires to compete in today's market.
• Benefits of Data Warehouse-as-a-Service:
• Cost: A cost model that is in line with the requirements of current organisations. Avoid initial hardware costs, wasted capacity, and maintenance costs. Pay for the services and capacity require only when the need is more. Data Warehouse-as-a-Service Service allows to take advantage of economies of scale from service providers who have established methods for managing huge data centres and providing services to various organisations.

• Performance: Make use of contemporary infrastructure platforms that are constantly upgraded to deliver better performance. Accelerating the time it takes to transform raw data into meaningful insights immediately benefits business agility and operational process performance. To optimise the processing performance of complex queries, workloads should be dispersed among locations and clusters.

• Time-to-value: The data warehouse may be fitted in minutes and that helps to put into production the moment of data is imported. In comparison to the purchase and setup time for on-premise infrastructure, Data Warehouse-as-a-Service gives benefits nearly instantly, rather than waiting weeks or months to build an on-premise data warehouse.

One of the biggest restrictions for the Data Warehouse as a Service Market is the widespread worry about data security and privacy. Because of the use of cloud computing, data transmission among systems may be subject to privacy violations. Furthermore, the increasing number of cyber-attacks may discourage businesses from implementing data warehouse solutions.
Data Warehouse as a Service Market Segment Analysis:
Based on Type, Enterprise Data Warehouse as a Service segment held largest market share of xx% in 2021. Company data warehouses provide decision-making support across the enterprise and give an integrated method to describing and organising data. These solutions can categorise data and provide access based on the divisions. The cloud data warehouse can quickly access data and give meaningful and actionable information.

Based on Verticals, BFSI segment held largest market share of xx% in 2021. As a result of dealing with massive amounts of client data gathered on a regular basis Organizations in the BFSI industry are efficiently managing their data scattered across many departments and regions due to the market availability of established cloud-based solutions. Furthermore, cloud-based data warehouses offer a viable alternative to the industry's widespread on-premises legacy data warehouses, allowing enterprises to leverage the cloud to reduce operational costs.
Data Warehouse as a Service Market Regional Insight:
North America region held largest market share of xx% in 2021. Because of the availability of cutting-edge data warehousing infrastructure. The presence of large demand for managing operational data, as well as the rising availability of cloud solution providers, US firms are higher users of analytics solutions across numerous sectors and are regarded the leading country in the industry. as a result of the rapid adoption of data warehousing as a service, as well as critical actions taken by industry participants in the form of partnerships with many technological giants in the region The United States and Canada are significant North American markets that are seeing a robust uptake of innovative technologies such as cloud data warehousing solutions.

The objective of the report is to present a comprehensive analysis of the Data Warehouse as a Service 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 have 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 report also helps in understanding the Data Warehouse as a Service market dynamics, structure by analyzing the market segments and projects the Data Warehouse as a Service market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Data Warehouse as a Service market make the report investor’s guide.
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Data Warehouse as a Service Market


Report Coverage
Details


Base Year:
2021
Forecast Period:
2022-2029


Historical Data:
2017 to 2021
Market Size in 2021:
US $ 4.62 Bn.


Forecast Period 2022 to 2029 CAGR:
21.7 %
Market Size in 2029:
US $ 22.26 Bn.


 Segments Covered:
by Type
•  Enterprise Data Warehouse as a Service
• Operational Data Storage


by Deployment Model
• Public Cloud
• Private Cloud
• Hybrid Cloud


by Organization Size
• Small and Medium-Sized Enterprises
• Large Enterprises


by Application
• Customer Analytics
• Asset Management
• Fraud Detection & Threat Management
• Supply Chain Management
• Risk & Compliance Management
• Others


by Verticals
• BFSI
• Retail & Ecommerce
• Healthcare & Pharmaceuticals
• Telecom & IT
• Government & Public Sector
• Others



Data Warehouse as a Service Market, by Region
• North America
• Europe
• Asia Pacific
• Middle East and Africa
• South America
Data Warehouse as a Service Market Key Players
• IBM
• Google
• Microsoft
• Snowflake
• Teradata
• SAP
• Micro Focus
• Hortonworks
• Cloudera
• Actian
• 1010data
• Pivotal Software
• Solver
• Yellowbrick
• Panoply
• MarkLogic
• MemSQL
• Netavis
• LUX Fund Technology & Solutions
• Transwarp Technology
• Accur8 Software
• AtScale
• Veeva
• AWS
Frequently Asked Questions:
1. Which region has the largest share in Data Warehouse as a Service Market?
Ans: North America region holds the highest share in 2021.

2. What is the growth rate of Data Warehouse as a Service Market?
Ans: The Data Warehouse as a Service Market is growing at a CAGR of 21.7 % during forecasting period 2022-2029.

3. What segments are covered in Data Warehouse as a Service market?
Ans: Data Warehouse as a Service Market is segmented into type, deployment model, organization size, application, verticals and region.

4. Who are the key players in Data Warehouse as a Service market?
Ans: The important key players in the Data Warehouse as a Service Market are – IBM, Google, Microsoft, Snowflake, Teradata, SAP, Micro Focus, Hortonworks, Cloudera, Actian, 1010data, Pivotal Software, Solver, Yellowbrick, Panoply, MarkLogic, MemSQL, Netavis, LUX Fund Technology & Solutions.

5. What is the study period of this market?
Ans: The Data Warehouse as a Service Market is studied from 2021 to 2029.