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Global Data Warehouse as a service (DWaaS) Market Growth, Demand, Size, Share, Analysis and Forecast, 2023-2030

  • Report ID: 64319
  • Date: May, 2023
  • Pages: 110
  • Category: ICT & Media

Global Data Warehouse as a service (DWaaS) Market Analysis and Forecast, 2023-2030

The global data warehouse as a service (DWaaS) market is expected to grow at a CAGR of 20.5% over the forecast period of 2023-2030.

Market Scope & Overview

The global data warehouse as a service (DWaaS) market study by Altus Market Research comprises comprehensive market analysis and insights across the key market segments and geography. The market report analyzes the global market for the historical period of 2019-2022 and the forecast period of 2023-2030 based on the product installed base, key forecasting factors impacting the market conditions, and major market developments happening in the market throughout the analysis period. Altus Market Research practices primary and secondary research for conducting an insightful market study. Various market parameters such as macroeconomic conditions, market environment, government policies, and competitive landscape are thoroughly studied and taken into account while analyzing the market.

The global data warehouse as a service (DWaaS) market report also covers value chain and supply chain analysis that provides in-depth information about the value addition at each stage of the product. Market dynamics incorporated in the market study include drivers, restraints/challenges, trends, and their impact on the market throughout the analysis period.


The global data warehouse as a service (DWaaS) market includes a market share analysis and market structure overview with detailed company profiling of leading players with their financials, product offerings, major developments, etc. This enables, clients and report buyers to make strong, precise, and timely decisions.

State of Global Economy, COVID-19 Outbreak, and the Russo-Ukraine War Impact

The global economy experienced heavy headwinds, throughout 2019-2022, as some countries witnessed subdue growth, while other countries continued to grapple with economic slowdowns. Also, intensifying tension between the US and Iran along with the tightening sanctions on Venezuela by the US further hampered global economic growth in 2019. Moreover, the heightened trade war between the US and China and the rising trade uncertainty continued to exert adverse effects on the global economy. Amid all these, the COVID-19 outbreak at the end of the year 2019 in Wuhan, China further deteriorated global economic growth.

The COVID-19 pandemic has levied undue pressure across the majority of industries globally and has caused a major economic crisis in the US, India, Italy, the UK, Germany, India, Japan, South Korea, the UK, and many others. Many of these countries had announced partial or complete nationwide lockdowns. The governments of several nations have called on people to shelter in place at home, travel restrictions, shut down local businesses, and prohibited social gatherings.

The rapid spread of the virus in the early month of 2020 followed by a second wave of COVID-19 caused a significant change in management strategies of the leading industries which have affected the market or industry at a significant level. Besides, the exit of the UK from the European Union earlier in 2020 and the Russo-Ukraine war in 2022 exacerbated the ever-heightened global uncertainty.

Key Market Segmentation and Companies

Altus Market Research has segmented the global data warehouse as a service (DWaaS) market based on type, deployment model, organization size, vertical, application, and region.
• By Type
o Enterprise DWaaS
o Operational data storage
• By Deployment Model
o Public Cloud
o Private Cloud
• By Organization Size
o Large Enterprises
o SME’s
• By Vertical
o BFSI
o Energy and utilities
o Government and public sector
o Healthcare and life sciences
o IT and ITeS
o Manufacturing
o Media and Entertainment
o Retail and consumer goods
o Telecommunications
o Others
• By Application
o Business Intelligence
o Customer Analytics
o Data Modernization
o Operational Analytics
o Predictive Analytics
• By Region
o North America
 US
 Canada
o Latin America
 Brazil
 Mexico
 Rest of Latin America
o Western Europe
 Germany
 UK
 France
 Spain
 Italy
 Benelux
 Nordic
 Rest of Western Europe
o Eastern Europe
 Russia
 Poland
 Rest of Eastern Europe
o Asia Pacific
 China
 Japan
 India
 South Korea
 Australia
 ASEAN (Indonesia, Vietnam, Malaysia, etc.)
 Rest of Asia Pacific
o Middle East & Africa
 GCC
 South Africa
 Turkey
 Rest of the Middle East & Africa


•
Leading Companies and Market Players


o AWS(US)
o IBM(US)
o Microsoft(US)
o Google(US)
o Oracle (US)
o SAP(Germany)
o Snowflake (US)
o Micro Focus(UK)
o Teradata(US)
o 1010Data(US)
o Cloudera (US)
o Pivotal (US)
o Yellowbrick(US)
o Veeva Systems(US)
o Actian(US)
o Marklogic(US)
o Netavis Software (Austria)
o Solver(US)
o Accur8 Software (US)
o AtScale(US), Panoply(US)
o SingleStore (US)
o Transwarp(China)

Global Data Warehouse as a service (DWaaS) Market Analysis and Forecast 2023-2030

Table of Contents

1. Market Introduction
1.1. Scope of Study
1.2. Problem Statement
1.3. Market Segmentation
2. Assumptions and Acronyms
3. Executive Summary
3.1. Global Market in 2023
3.2. Analyst Insights & Recommendations
3.3. Growth Opportunities and Key Strategies
3.4. Supply-side and Demand-side Trends
4. Research Methodology
5. Analysis of COVID-19 Impact and Road Ahead
6. Market Indicators and Background
6.1. Macro-Economic Factors
6.2. Forecasting Factors
6.3. Supply Chain & Value Chain Analysis
6.4. Industry SWOT Analysis
6.5. PESTLE Analysis
6.6. Porter’s Five Forces Analysis
7. Government Laws and Industry Regulations
8. Global and Regional Market Dynamics
8.1. Drivers
8.2. Restraints
8.3. Trends
8.4. Opportunities
9. Global Data Warehouse as a service (DWaaS) Market: Key Investment Analysis
9.1. By Leading Service Providers
9.2. By Region
9.3. By Type
9.4. By Deployment Model
9.5. M&A Activities
Robust assessment of major investments made by various industry players along with key application areas, technological assessment, and key application areas
10. Parent Market Overview: Global ICT Market
11. Segmental Analysis
11.1. Global Data Warehouse as a service (DWaaS) Market by Type
11.1.1. Segment Overview
11.1.1.1. Enterprise DWaaS
11.1.1.2. Operational data storage
11.2. Global Data Warehouse as a service (DWaaS) Market by Deployment Model
11.2.1. Segment Overview
11.2.1.1. Public Cloud
11.2.1.2. Private Cloud
11.3. Global Data Warehouse as a service (DWaaS) Market by Organization Size
11.3.1. Segment Overview
11.3.1.1. Large Enterprises
11.3.1.2. SME’s
11.4. Global Data Warehouse as a service (DWaaS) Market by Vertical
11.4.1. Segment Overview
11.4.1.1. BFSI
11.4.1.2. Energy and utilities
11.4.1.3. Government and public sector
11.4.1.4. Healthcare and life sciences
11.4.1.5. IT and ITeS
11.4.1.6. Manufacturing
11.4.1.7. Media and Entertainment
11.4.1.8. Retail and consumer goods
11.4.1.9. Telecommunications
11.4.1.10. Others
11.5. Global Data Warehouse as a service (DWaaS) Market by Application
11.5.1. Segment Overview
11.5.1.1. Business Intelligence
11.5.1.2. Customer Analytics
11.5.1.3. Data Modernization
11.5.1.4. Operational Analytics
11.5.1.5. Predictive Analytics
11.6. Global Data Warehouse as a service (DWaaS) Market by Region
11.6.1. North America
11.6.2. Latin America
11.6.3. Western Europe
11.6.4. Eastern Europe
11.6.5. Asia Pacific
11.6.6. Middle East & Africa
12. Regional Analysis
12.1. North America Data Warehouse as a service (DWaaS) Market Analysis and Forecast 2023-2030
12.1.1. Regional Market Overview and Key Takeaways
12.1.2. North America Data Warehouse as a service (DWaaS) Market by Type
12.1.3. North America Data Warehouse as a service (DWaaS) Market by Deployment Model
12.1.4. North America Data Warehouse as a service (DWaaS) Market by Organization Size
12.1.5. North America Data Warehouse as a service (DWaaS) Market by Vertical
12.1.6. North America Data Warehouse as a service (DWaaS) Market by Application
12.1.7. North America Data Warehouse as a service (DWaaS) Market by Country
12.1.7.1. US
12.1.7.2. Canada
12.2. Latin America Data Warehouse as a service (DWaaS) Market Analysis and Forecast 2023-2030
12.2.1. Regional Market Overview and Key Takeaways
12.2.2. Latin America Data Warehouse as a service (DWaaS) Market by Type
12.2.3. Latin America Data Warehouse as a service (DWaaS) Market by Deployment Model
12.2.4. Latin America Data Warehouse as a service (DWaaS) Market by Organization Size
12.2.5. Latin America Data Warehouse as a service (DWaaS) Market by Vertical
12.2.6. Latin America Data Warehouse as a service (DWaaS) Market by Application
12.2.7. Latin America Data Warehouse as a service (DWaaS) Market by Country
12.2.7.1. Brazil
12.2.7.2. Mexico
12.2.7.3. Rest of Latin America
12.3. Western Europe Data Warehouse as a service (DWaaS) Market Analysis and Forecast 2023-2030
12.3.1. Regional Market Overview and Key Takeaways
12.3.2. Western Europe Data Warehouse as a service (DWaaS) Market by Type
12.3.3. Western Europe Data Warehouse as a service (DWaaS) Market by Deployment Model
12.3.4. Western Europe North America Data Warehouse as a service (DWaaS) Market by Organization Size
12.3.5. Western Europe Data Warehouse as a service (DWaaS) Market by Vertical
12.3.6. Western Europe Data Warehouse as a service (DWaaS) Market by Application
12.3.7. Western Europe Data Warehouse as a service (DWaaS) Market by Country
12.3.7.1. Germany
12.3.7.2. UK
12.3.7.3. France
12.3.7.4. Spain
12.3.7.5. Italy
12.3.7.6. Benelux
12.3.7.7. Nordic
12.3.7.8. Rest of Western Europe
12.4. Eastern Europe Data Warehouse as a service (DWaaS) Market Analysis and Forecast 2023-2030
12.4.1. Regional Market Overview and Key Takeaways
12.4.2. Eastern Europe Data Warehouse as a service (DWaaS) Market by Type
12.4.3. Eastern Europe Data Warehouse as a service (DWaaS) Market by Deployment Model
12.4.4. Eastern Europe Data Warehouse as a service (DWaaS) Market by Organization Size
12.4.5. Eastern Europe Data Warehouse as a service (DWaaS) Market by Vertical
12.4.6. Eastern Europe Data Warehouse as a service (DWaaS) Market by Application
12.4.7. Eastern Europe Data Warehouse as a service (DWaaS) Market by Country
12.4.7.1. Russia
12.4.7.2. Poland
12.4.7.3. Rest of Eastern Europe
12.5. Asia Pacific Data Warehouse as a service (DWaaS) Market Analysis and Forecast 2023-2030
12.5.1. Regional Market Overview and Key Takeaways
12.5.2. Asia Pacific Data Warehouse as a service (DWaaS) Market by Type
12.5.3. Asia Pacific Data Warehouse as a service (DWaaS) Market by Deployment Model
12.5.4. Asia Pacific Data Warehouse as a service (DWaaS) Market by Organization Size
12.5.5. Asia Pacific Data Warehouse as a service (DWaaS) Market by Vertical
12.5.6. Asia Pacific Data Warehouse as a service (DWaaS) Market by Application
12.5.7. Asia Pacific Data Warehouse as a service (DWaaS) Market by Country
12.5.7.1. China
12.5.7.2. Japan
12.5.7.3. India
12.5.7.4. South Korea
12.5.7.5. Australia
12.5.7.6. ASEAN
12.5.7.7. Rest of Asia-Pacific
12.6. Middle East & Africa Data Warehouse as a service (DWaaS) Market Analysis and Forecast 2023-2030
12.6.1. Regional Market Overview and Key Takeaways
12.6.2. Middle East & Africa Data Warehouse as a service (DWaaS) Market by Type
12.6.3. Middle East & Africa Data Warehouse as a service (DWaaS) Market by Deployment Model
12.6.4. Middle East & Africa Data Warehouse as a service (DWaaS) Market by Organization Size
12.6.5. Middle East & Africa Data Warehouse as a service (DWaaS) Market by Vertical
12.6.6. Middle East & Africa Data Warehouse as a service (DWaaS) Market by Application
12.6.7. Middle East & Africa Data Warehouse as a service (DWaaS) Market by Country
12.6.7.1. GCC
12.6.7.2. South Africa
12.6.7.3. Turkey
12.6.7.4. Rest of the Middle East & Africa
13. Competitive Landscape
13.1. Competition Dashboard
13.1.1. Global and Regional Market Share Analysis
13.1.2. Market Structure
13.2. Competitive Benchmarking
13.3. Key Strategy Analysis
13.4. Company Profiles
13.4.1. AWS
13.4.1.1. Company Overview
13.4.1.2. Product/Service Offerings
13.4.1.3. Financials
13.4.1.4. Recent Developments
13.4.2. IBM
13.4.2.1. Company Overview
13.4.2.2. Product/Service Offerings
13.4.2.3. Financials
13.4.2.4. Recent Developments
13.4.3. Microsoft
13.4.3.1. Company Overview
13.4.3.2. Product/Service Offerings
13.4.3.3. Key Financials
13.4.3.4. Recent Developments
13.4.4. Google
13.4.4.1. Company Overview
13.4.4.2. Product/Service Offerings
13.4.4.3. Key Financials
13.4.4.4. Recent Developments
13.4.5. Oracle
13.4.5.1. Company Overview
13.4.5.2. Product/Service Offerings
13.4.5.3. Financials
13.4.5.4. Recent Developments
13.4.6. SAP
13.4.6.1. Company Overview
13.4.6.2. Product/Service Offerings
13.4.6.3. Financials
13.4.6.4. Recent Developments
13.4.7. Snowflake
13.4.7.1. Company Overview
13.4.7.2. Product/Service Offerings
13.4.7.3. Financials
13.4.7.4. Recent Developments
13.4.8. Microfocus
13.4.8.1. Company Overview
13.4.8.2. Product/Service Offerings
13.4.8.3. Financials
13.4.8.4. Recent Developments
13.4.9. Teradata
13.4.9.1. Company Overview
13.4.9.2. Product/Service Offerings
13.4.9.3. Financials
13.4.9.4. Recent Developments
13.4.10. 1010Data
13.4.10.1. Company Overview
13.4.10.2. Product/Service Offerings
13.4.10.3. Financials
13.4.10.4. Recent Developments
13.4.11. Cloudera
13.4.11.1. Company Overview
13.4.11.2. Product/Service Offerings
13.4.11.3. Financials
13.4.11.4. Recent Developments
13.4.12. Pivotal
13.4.12.1. Company Overview
13.4.12.2. Product/Service Offerings
13.4.12.3. Financials
13.4.12.4. Recent Developments
13.4.13. Yellowbrick
13.4.13.1. Company Overview
13.4.13.2. Product/Service Offerings
13.4.13.3. Financials
13.4.13.4. Recent Developments
13.4.14. Veeva Systems
13.4.14.1. Company Overview
13.4.14.2. Product/Service Offerings
13.4.14.3. Financials
13.4.14.4. Recent Developments
13.4.15. Actian
13.4.15.1. Company Overview
13.4.15.2. Product/Service Offerings
13.4.15.3. Financials
13.4.15.4. Recent Developments
13.4.16. Marklogic
13.4.16.1. Company Overview
13.4.16.2. Product/Service Offerings
13.4.16.3. Financials
13.4.16.4. Recent Developments
13.4.17. Netavis Software
13.4.17.1. Company Overview
13.4.17.2. Product/Service Offerings
13.4.17.3. Financials
13.4.17.4. Recent Developments
13.4.18. Solver
13.4.18.1. Company Overview
13.4.18.2. Product/Service Offerings
13.4.18.3. Financials
13.4.18.4. Recent Developments
13.4.19. Accur8Software
13.4.19.1. Company Overview
13.4.19.2. Product/Service Offerings
13.4.19.3. Financials
13.4.19.4. Recent Developments
13.4.20. AtScale(US), Panoply(US)
13.4.20.1. Company Overview
13.4.20.2. Product/Service Offerings
13.4.20.3. Financials
13.4.20.4. Recent Developments
13.4.21. SingleStore (US)
13.4.21.1. Company Overview
13.4.21.2. Product/Service Offerings
13.4.21.3. Financials
13.4.21.4. Recent Developments
13.4.22. Transwarp(China)
13.4.22.1. Company Overview
13.4.22.2. Product/Service Offerings
13.4.22.3. Financials
13.4.22.4. Recent Developments
A comprehensive list of Data Warehouse as a service (DWaaS) brands and service providers by country will be provided along with geographical reach, employee count, revenue, product capacities, and their capabilities.
14. Disclaimer




List of Figures

Research methodology is mainly referring to the practical how of any offered piece of research. More specifically, it’s all about how a researcher systematically designs a study in order to assure extremely valid as well as reliable results that ultimately address the targets and objectives of the research.

In any formal research including academic journal, article, dissertation and so on, there will be a special section on a research methodology that mainly describes what, by whom, how to gather as well as how to evaluate the data are provided.

This research methodology has been segmented into following types:

Primary Research:

It is said to be original information that the researchers collect for the crucial purposes of answering the research questions of readers with the help of surveys, observations and experiments.

Secondary Research:

The secondary research is the data that has already been collected by various other researchers in the form of government analysis or scientific studies.

Qualitative Research:

It is descriptive and subjective method irrespective of facts. Both observation and description are essential in this type of research methodology. Its main vision is to analyze knowledge, attitudes, behaviours as well as opinions of people related to the topic of any research. This method has been operated through grounded research, case study and actionable research.

Quantitative Research:

It contains several laboratory experiments, basic surveys, mathematical calculations, simulations and so on. The possible measurement, quantity or amount is considered to be a major factor in the quantitative research methodology.

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