
Cloud Data Warehouse Market Share, Demand and Top Companies 2034
Cloud Data Warehouse Market Growth, Size, Trends Analysis - By Offering, By Organization Size, By Deployment Model, By Application, By Industry Vertical - Regional Outlook, Competitive Strategies and Segment Forecast to 2034
Published: Jun-2025 | Report ID: IACT2588 | Pages: 1 - 251 | Formats*: |
Category : Information & Communications Technology |


- In October 2023, mParticle, Inc. announced the release of ComposeID, an identity resolution service that is interoperable with cloud data warehouse systems. ComposeID is built on the IDSync framework. IDSync is designed to help teams support any identity strategy across any data architecture.
- International Business Machines Corp. (IBM) announced new upgrades to its IBM Db2 Warehouse in July 2023. The next generation of warehouses can include cloud object storage with improved caching, resulting in four times faster query response while reducing storage costs by 34%.
Report Metric | Details |
Market size available for years | 2021-2034 |
Base year considered | 2024 |
Forecast period | 2025-2034 |
Segments covered | By Offering, By Organization Size, By Deployment Model, By Application, By Industry Vertical |
Regions covered | North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa |
Companies Covered | Amazon Web Services, Inc, Cloudera, Inc, Google LLC, International Business Machines Corporation, Microsoft Corporation, OpenText Vertica, Oracle Corporation, SAP SE, Snowflake Inc, Teradata Corporation. |
- Global Cloud Data Warehouse Market Size (FY’2021-FY’2034)
- Overview of Global Cloud Data Warehouse Market
- Segmentation of Global Cloud Data Warehouse Market By Offering (DWaaS, Data Storage)
- Segmentation of Global Cloud Data Warehouse Market By Organization Size (Large Enterprises, SME)
- Segmentation of Global Cloud Data Warehouse Market By Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud)
- Segmentation of Global Cloud Data Warehouse Market By Application (Customer Analytics, Data Modernization, Business Intelligence, Predictive Analytics, Others)
- Segmentation of Global Cloud Data Warehouse Market By Industry Vertical (Healthcare, Government, BFSI, IT & Telecom, Retail & Consumer, Manufacturing & Automotive, Others)
- Statistical Snap of Global Cloud Data Warehouse Market
- Expansion Analysis of Global Cloud Data Warehouse Market
- Problems and Obstacles in Global Cloud Data Warehouse Market
- Competitive Landscape in the Global Cloud Data Warehouse Market
- Details on Current Investment in Global Cloud Data Warehouse Market
- Competitive Analysis of Global Cloud Data Warehouse Market
- Prominent Players in the Global Cloud Data Warehouse Market
- SWOT Analysis of Global Cloud Data Warehouse Market
- Global Cloud Data Warehouse Market Future Outlook and Projections (FY’2025-FY’2034)
- Recommendations from Analyst
- 1.1. Scope of the report
- 1.2. Market segment analysis
- 2.1. Research data source
- 2.1.1. Secondary Data
- 2.1.2. Primary Data
- 2.1.3. SPERs internal database
- 2.1.4. Premium insight from KOLs
- 2.2. Market size estimation
- 2.2.1. Top-down and Bottom-up approach
- 2.3. Data triangulation
- 4.1. Driver, Restraint, Opportunity and Challenges analysis
- 4.1.1. Drivers
- 4.1.2. Restraints
- 4.1.3. Opportunities
- 4.1.4. Challenges
- 5.1. SWOT Analysis
- 5.1.1. Strengths
- 5.1.2. Weaknesses
- 5.1.3. Opportunities
- 5.1.4. Threats
- 5.2. PESTEL Analysis
- 5.2.1. Political Landscape
- 5.2.2. Economic Landscape
- 5.2.3. Social Landscape
- 5.2.4. Technological Landscape
- 5.2.5. Environmental Landscape
- 5.2.6. Legal Landscape
- 5.3. PORTERs Five Forces
- 5.3.1. Bargaining power of suppliers
- 5.3.2. Bargaining power of buyers
- 5.3.3. Threat of Substitute
- 5.3.4. Threat of new entrant
- 5.3.5. Competitive rivalry
- 5.4. Heat Map Analysis
- 6.1. Global Cloud Data Warehouse Market Manufacturing Base Distribution, Sales Area, Product Type
- 6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Cloud Data Warehouse Market
- 7.1. DWaaS
- 7.2. Data storage
- 8.1. Large enterprises
- 8.2. SME
- 9.1. Public cloud
- 9.2. Private cloud
- 9.3. Hybrid cloud
- 10.1. Customer analytics
- 10.2. Data modernization
- 10.3. Business intelligence
- 10.4. Predictive analytics
- 10.5. Others
- 11.1. Healthcare
- 11.2. Government
- 11.3. BFSI
- 11.4. IT & Telecom
- 11.5. Retail & consumer
- 11.6. Manufacturing & automotive
- 11.7. Others
- 12.1. Global Cloud Data Warehouse Market Size and Market Share
- 13.1. Asia-Pacific
- 13.1.1. Australia
- 13.1.2. China
- 13.1.3. India
- 13.1.4. Japan
- 13.1.5. South Korea
- 13.1.6. Rest of Asia-Pacific
- 13.2. Europe
- 13.2.1. France
- 13.2.2. Germany
- 13.2.3. Italy
- 13.2.4. Spain
- 13.2.5. United Kingdom
- 13.2.6. Rest of Europe
- 13.3. Middle East and Africa
- 13.3.1. Kingdom of Saudi Arabia
- 13.3.2. United Arab Emirates
- 13.3.3. Qatar
- 13.3.4. South Africa
- 13.3.5. Egypt
- 13.3.6. Morocco
- 13.3.7. Nigeria
- 13.3.8. Rest of Middle-East and Africa
- 13.4. North America
- 13.4.1. Canada
- 13.4.2. Mexico
- 13.4.3. United States
- 13.5. Latin America
- 13.5.1. Argentina
- 13.5.2. Brazil
- 13.5.3. Rest of Latin America
- 14.1. Amazon Web Services, Inc
- 14.1.1. Company details
- 14.1.2. Financial outlook
- 14.1.3. Product summary
- 14.1.4. Recent developments
- 14.2. Cloudera, Inc
- 14.2.1. Company details
- 14.2.2. Financial outlook
- 14.2.3. Product summary
- 14.2.4. Recent developments
- 14.3. Google LLC
- 14.3.1. Company details
- 14.3.2. Financial outlook
- 14.3.3. Product summary
- 14.3.4. Recent developments
- 14.4. International Business Machines Corporation
- 14.4.1. Company details
- 14.4.2. Financial outlook
- 14.4.3. Product summary
- 14.4.4. Recent developments
- 14.5. Microsoft Corporation
- 14.5.1. Company details
- 14.5.2. Financial outlook
- 14.5.3. Product summary
- 14.5.4. Recent developments
- 14.6. OpenText Vertica
- 14.6.1. Company details
- 14.6.2. Financial outlook
- 14.6.3. Product summary
- 14.6.4. Recent developments
- 14.7. Oracle Corporation
- 14.7.1. Company details
- 14.7.2. Financial outlook
- 14.7.3. Product summary
- 14.7.4. Recent developments
- 14.8. SAP SE
- 14.8.1. Company details
- 14.8.2. Financial outlook
- 14.8.3. Product summary
- 14.8.4. Recent developments
- 14.9. Snowflake Inc
- 14.9.1. Company details
- 14.9.2. Financial outlook
- 14.9.3. Product summary
- 14.9.4. Recent developments
- 14.10. Teradata Corporation
- 14.10.1. Company details
- 14.10.2. Financial outlook
- 14.10.3. Product summary
- 14.10.4. Recent developments
- 14.11. Others
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
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