The global data warehouse as a service (DWaaS) market size was USD XX Mn in 2022 and is likely to reach USD XX Mn by 2031, expanding at a CAGR of XX % during 2023–2031. The market growth is attributed to the rising need for business intelligence to formulate business strategies with the help of informed decisions.
Huge silos of data are generated every day across various platforms in a structured and unstructured format. Data analytics helps businesses to structure the data into purposeful, insightful, and relevant information to amplify business intelligence and leverage it to build competitive agility.
Data Warehouse as a Service (DWaaS) is a central repository system where a business or public entity can manage data for strategic use in a managed environment. Data-driven systems help insight-driven organizations deliver operational excellence by providing objectified insights to improve internal processes involved in corporate governance and service delivery mechanisms.
Private and public organizations opt for data warehouse services to outsource data management services to obtain valuable insights with the help of big data analytics. Data analytics helps organizations to achieve strategic goals by using data to obtain past, present, and future implications of business operations including manufacturing processes, supply chain, sales & marketing, and customer service.
Intelligence-led decision-making facilitated by data-analytics systems helps organizations to optimize workflows, formulate efficient business processes, and reduce operational risks. Data warehousing provide offer innovative tools, systems, and mechanisms to assist organizations in converting data from diverse sources into actionable intelligence.
Data Warehouse as a Service (DWaaS) Market Dynamics
Drivers
Rising need for business intelligence to drive business value and efficiency improvements is anticipated to boost the market. Data warehousing helps businesses build capabilities with the help of authentic, trusted, and relevant data.
Restraints
The high cost of hiring skilled professionals to implement and manage data warehousing systems and complex interface of the data warehousing applications is likely to hinder the market. The data warehouse systems comprise advanced hardware and algorithms embedded in it. The cost of designing the hardware and writing the algorithms is relatively high.
Opportunities
Rising number of insight-driven organizations that leverage data for improving the business outcomes is expected to create multiple opportunities in the market. Data-driven digital transformation assists the public and private entities to correlate the information obtained through data warehouses to improve corporate governance and by extension business value.
Scope of the Data Warehouse as a Service (DWaaS) Market Report
The market report includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.
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Attributes
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Details
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Report Title
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Data Warehouse as a Service (DWaaS) Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast
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Base Year
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2022
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Historic Data
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2016–2021
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Forecast Period
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2023–2031
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Segmentation
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Application (Data Mining, Analytics, Reporting, and Others), Deployment (Public, Private, and Hybrid), Vertical (Finance, Life Sciences, IT & Telecom, BFSI, Government, Media & Entertainment, and Travel), and Organizational Size( Small, Medium, and Large Enterprises)
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Regional Scope
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Asia Pacific, North America, Latin America, Europe, and Middle East & Africa
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Report Coverage
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Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, Market Trends, and Revenue Forecast
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Key Players Covered in the Report
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Oracle; Teradata; Microsoft; IBM Corporation; Dell Inc.; SAP SE; Google LLC; and Amazon Web Services
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Market Segment Insights
Based on application, the data warehouse as a service (DWaaS) market is divided into data mining, analytics, reporting, and others. The analytics segment is expected to expand at a significant growth rate during the projection period owing to the need for extracting the data from unstructured format and structure it as per the business requirement. Analytics helps businesses to obtain useful information from disparate sources and use it as an actionable intelligence.
On the basis of deployment, the global market is segregated into public, private, and hybrid. The public segment is projected to register a considerable CAGR during the forecast period due to the ability of data warehouse systems to provide valuable insights to bring efficiency and transparency in the public sector. The public sector deals with large stacks of data that is being collected throughout the years. Data warehouse provides actionable insights to public sector organizations to help achieve strategic goals on a large scale.
Based on vertical, the global market is segregated into finance, life sciences, IT & telecom, BFSI, government, media & entertainment, and travel. The BFSI segment is projected to register a considerable CAGR during the forecast period owing to need for managing large amount of customer data to expand customer base and detect frauds. The BFSI sector deals with large unstructured data obtained from various sources for acquisition of new customers and retention of existing ones.
In terms of organizational size, the global market is segregated into small, medium, and large enterprises. The large enterprises segment is projected to register a considerable CAGR during the forecast period due to large amounts of data generated by the large enterprises. Large enterprises rely on huge amounts of data to formulate relevant business policies to accelerate growth, thus fueling the segment.
Based on region, the global data warehouse as a service (DWaaS) market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America is expected to dominate the market during the projection period owing to the rising number of insight-driven organizations and easily accessible technologically advanced data warehouse infrastructure in the region. The growth of the market in the region is characterized by the adoption of analytics solutions and feature-rich services provided by cloud solution providers.
Segments
The data warehouse as a service (DWaaS) market has been segmented on the basis of
Application
- Data Mining
- Analytics
- Reporting
- Others
Deployment
Vertical
- Finance
- Life Sciences
- IT & Telecom
- BFSI
- Government
- Media & Entertainment
- Travel
Organizational Size
- Small
- Medium
- Large Enterprises
Region
- Asia Pacific
- North America
- Latin America
- Europe
- Middle East & Africa
Key Players
- Oracle
- Teradata
- Microsoft
- Dell Inc.
- IBM Corporation
- SAP SE
- Google LLC
- Amazon Web Services
Competitive Landscape
Key players competing in the global data warehouse as a service (DWaaS) market are Oracle; Teradata; Microsoft; IBM Corporation; Dell Inc.; SAP SE; Google LLC; and Amazon Web Services.
These companies use strategies including partnerships, collaboration, and product launches to expand their consumer base worldwide. For instance,
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In November 2022, Teradata partnered with Vcinity to help organizations leverage data for gaining valuable insights for improving business operations. The alliance is aimed at increasing performance, speed, and deployment flexibility over long network distances in on-premises, hybrid or cloud environments.
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