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Data Warehouse as a Service Market Size, Share & Trends 2031
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Data Warehouse as a Service Market Size, Share & Trends 2031

Segments - Data Warehouse as a Service (DWaaS) Market by Application (Data Mining, Analytics, Reporting, and Others), Deployment (Public, Private, and Hybrid), Vertical (Finance, Life Sciences, IT & Telecom, BFSI, Government, Media & Entertainment, and Travel), Organizational Size (Small, Medium, and Large Enterprises), and Region (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2023 – 2031

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Author : Raksha Sharma
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Fact-checked by : V. Chandola
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Editor : Shruti Bhat

Upcoming | Report ID :ICT-SE-5145 | 4.1 Rating | 76 Reviews | 195 Pages | Format : PDF Excel PPT

Report Description


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 Market Outlook

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

Data Warehouse as a Service 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.

Attributes

Details

Report Title

Data Warehouse as a Service (DWaaS) Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2022

Historic Data

2016–2021

Forecast Period

2023–2031

Segmentation

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)

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, Market Trends, and Revenue Forecast

Key Players Covered in the Report

Oracle; Teradata; Microsoft; IBM Corporation; Dell Inc.; SAP SE; Google LLC; and Amazon Web Services

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. 

Data Warehouse as a Service Market Application

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.

Data Warehouse as a Service Market Vertical

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

  • Public
  • Private
  • Hybrid

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,

  • 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.    

    Data Warehouse as a Service Market Key Players

Table Of Content

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Data Warehouse as a Service Market Overview
  4.1. Introduction
     4.1.1. Market Taxonomy
     4.1.2. Market Definition
  4.2. Macro-Economic Factors
     4.2.1. Industry Outlook
  4.3. Data Warehouse as a Service Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. Data Warehouse as a Service Market - Supply Chain
  4.5. Global Data Warehouse as a Service Market Forecast
     4.5.1. Data Warehouse as a Service Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. Data Warehouse as a Service Market Size (000’ Units) and Y-o-Y Growth
     4.5.3. Data Warehouse as a Service Market Absolute $ Opportunity
5. Global Data Warehouse as a Service Market Analysis and Forecast by Applications
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by Applications
     5.2.2. Y-o-Y Growth Projections by Applications
  5.3. Data Warehouse as a Service Market Size and Volume Forecast by Applications
     5.3.1. Data Mining
     5.3.2. Analytics
     5.3.3. Reporting
     5.3.4. Others
  5.4. Absolute $ Opportunity Assessment by Applications
  5.5. Market Attractiveness/Growth Potential Analysis by Applications
6. Global Data Warehouse as a Service Market Analysis and Forecast by Region
  6.1. Market Trends
  6.2. Introduction
     6.2.1. Basis Point Share (BPS) Analysis by Region
     6.2.2. Y-o-Y Growth Projections by Region
  6.3. Data Warehouse as a Service Market Size and Volume Forecast by Region
     6.3.1. North America
     6.3.2. Latin America
     6.3.3. Europe
     6.3.4. Asia Pacific
     6.3.5. Middle East and Africa (MEA)
  6.4. Absolute $ Opportunity Assessment by Region
  6.5. Market Attractiveness/Growth Potential Analysis by Region
  6.6. Global Data Warehouse as a Service Demand Share Forecast, 2019-2026
7. North America Data Warehouse as a Service Market Analysis and Forecast
  7.1. Introduction
     7.1.1. Basis Point Share (BPS) Analysis by Country
     7.1.2. Y-o-Y Growth Projections by Country
  7.2. North America Data Warehouse as a Service Market Size and Volume Forecast by Country
     7.2.1. U.S.
     7.2.2. Canada
  7.3. Absolute $ Opportunity Assessment by Country
  7.4. North America Data Warehouse as a Service Market Size and Volume Forecast by Applications
     7.4.1. Data Mining
     7.4.2. Analytics
     7.4.3. Reporting
     7.4.4. Others
  7.5. Basis Point Share (BPS) Analysis by Applications
  7.6. Y-o-Y Growth Projections by Applications
  7.7. Market Attractiveness/Growth Potential Analysis
     7.7.1. By Country
     7.7.2. By Product Type
     7.7.3. By Application
  7.8. North America Data Warehouse as a Service Demand Share Forecast, 2019-2026
8. Latin America Data Warehouse as a Service Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
     8.1.3. Latin America Average Pricing Analysis
  8.2. Latin America Data Warehouse as a Service Market Size and Volume Forecast by Country
      8.2.1. Brazil
      8.2.2. Mexico
      8.2.3. Rest of Latin America
   8.3. Absolute $ Opportunity Assessment by Country
  8.4. Latin America Data Warehouse as a Service Market Size and Volume Forecast by Applications
     8.4.1. Data Mining
     8.4.2. Analytics
     8.4.3. Reporting
     8.4.4. Others
  8.5. Basis Point Share (BPS) Analysis by Applications
  8.6. Y-o-Y Growth Projections by Applications
  8.7. Market Attractiveness/Growth Potential Analysis
     8.7.1. By Country
     8.7.2. By Product Type
     8.7.3. By Application
  8.8. Latin America Data Warehouse as a Service Demand Share Forecast, 2019-2026
9. Europe Data Warehouse as a Service Market Analysis and Forecast
  9.1. Introduction
     9.1.1. Basis Point Share (BPS) Analysis by Country
     9.1.2. Y-o-Y Growth Projections by Country
     9.1.3. Europe Average Pricing Analysis
  9.2. Europe Data Warehouse as a Service Market Size and Volume Forecast by Country
     9.2.1. Germany
     9.2.2. France
     9.2.3. Italy
     9.2.4. U.K.
     9.2.5. Spain
     9.2.6. Russia
     9.2.7. Rest of Europe
  9.3. Absolute $ Opportunity Assessment by Country
  9.4. Europe Data Warehouse as a Service Market Size and Volume Forecast by Applications
     9.4.1. Data Mining
     9.4.2. Analytics
     9.4.3. Reporting
     9.4.4. Others
  9.5. Basis Point Share (BPS) Analysis by Applications
  9.6. Y-o-Y Growth Projections by Applications
  9.7. Market Attractiveness/Growth Potential Analysis
     9.7.1. By Country
     9.7.2. By Product Type
     9.7.3. By Application
  9.8. Europe Data Warehouse as a Service Demand Share Forecast, 2019-2026
10. Asia Pacific Data Warehouse as a Service Market Analysis and Forecast
  10.1. Introduction
     10.1.1. Basis Point Share (BPS) Analysis by Country
     10.1.2. Y-o-Y Growth Projections by Country
     10.1.3. Asia Pacific Average Pricing Analysis
  10.2. Asia Pacific Data Warehouse as a Service Market Size and Volume Forecast by Country
     10.2.1. China
     10.2.2. Japan
     10.2.3. South Korea
     10.2.4. India
     10.2.5. Australia
     10.2.6. Rest of Asia Pacific (APAC)
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Asia Pacific Data Warehouse as a Service Market Size and Volume Forecast by Applications
     10.4.1. Data Mining
     10.4.2. Analytics
     10.4.3. Reporting
     10.4.4. Others
  10.5. Basis Point Share (BPS) Analysis by Applications
  10.6. Y-o-Y Growth Projections by Applications
  10.7. Market Attractiveness/Growth Potential Analysis
     10.7.1. By Country
     10.7.2. By Product Type
     10.7.3. By Application
  10.8. Asia Pacific Data Warehouse as a Service Demand Share Forecast, 2019-2026
11. Middle East & Africa Data Warehouse as a Service Market Analysis and Forecast
  11.1. Introduction
     11.1.1. Basis Point Share (BPS) Analysis by Country
     11.1.2. Y-o-Y Growth Projections by Country
     11.1.3. Middle East & Africa Average Pricing Analysis
  11.2. Middle East & Africa Data Warehouse as a Service Market Size and Volume Forecast by Country
     11.2.1. Saudi Arabia
     11.2.2. South Africa
     11.2.3. UAE
     11.2.4. Rest of Middle East & Africa (MEA)
  11.3. Absolute $ Opportunity Assessment by Country
  11.4. Middle East & Africa Data Warehouse as a Service Market Size and Volume Forecast by Applications
     11.4.1. Data Mining
     11.4.2. Analytics
     11.4.3. Reporting
     11.4.4. Others
  11.5. Basis Point Share (BPS) Analysis by Applications
  11.6. Y-o-Y Growth Projections by Applications
  11.7. Market Attractiveness/Growth Potential Analysis
     11.7.1. By Country
     11.7.2. By Product Type
     11.7.3. By Application
  11.8. Middle East & Africa Data Warehouse as a Service Demand Share Forecast, 2019-2026
12. Competition Landscape
  12.1. Global Data Warehouse as a Service Market: Market Share Analysis
  12.2. Data Warehouse as a Service Distributors and Customers
  12.3. Data Warehouse as a Service Market: Competitive Dashboard
  12.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
     12.4.1. Oracle
     12.4.2. Teradata
     12.4.3. Microsoft
     12.4.4. IBM Corporation
     12.4.5. Dell Inc.
     12.4.6. SAP SE
     12.4.7. Google LLC
     12.4.8. Amazon Web Services

Methodology

Our Clients

General Electric
Siemens Healthcare
sinopec
Deloitte
Pfizer
Microsoft
The John Holland Group
FedEx Logistics