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Cloud Datawarehouse Market Analysis and Forecast to 2032: By Type (Operational data storage and Enterprise DWaaS), Deployment Mode (Public Cloud and Private Cloud), Enterprise Size (Large Enterprises and Small & Medium Enterprises (SMEs)), Industry Vertic

Publisher Global Insight Services
Published Jan 30, 2023
Length 159 Pages
SKU # GIS17762176

Description

A cloud data warehouse is a cloud-based data storage platform that is optimized for data warehousing and analytics workloads. They are designed to provide a cost-effective, scalable, and easy-to-use solution for data warehousing and analytics. A cloud data warehouse can be used to store data from a variety of sources, including relational databases, NoSQL databases, and Hadoop. Cloud data warehouses can be used to process data in a variety of ways, including batch processing, streaming processing, and interactive processing.

Cloud data warehouses are often used in conjunction with a cloud data lake. A cloud data lake is a cloud-based data storage platform that is designed for data lake workloads. Cloud data lakes are often used to store data from a variety of sources, including relational databases, NoSQL databases, and Hadoop.

Key Trends

There are a few key trends in cloud data warehousing technology:
  • More and more businesses are using cloud-based data warehouses instead of traditional on-premises ones. This is because cloud-based data warehouses offer many benefits, such as scalability, flexibility, and cost-effectiveness.
  • With the increase in the amount of data being generated, businesses are increasingly turning to big data solutions for their data warehousing needs. Big data solutions can help businesses make sense of large amounts of data and make better decisions.
  • In today's fast-paced world, businesses need to be able to make decisions quickly and efficiently. As such, many businesses are turning to real-time data solutions for their data warehousing needs. Real-time data solutions can help businesses make decisions based on the most up-to-date information.
  • Serverless architecture is becoming more popular for data warehousing solutions. Serverless architecture can help businesses save on costs and improve scalability.
Key Drivers

There are a few key drivers of the cloud data warehouse market. Firstly, the ever-increasing volume of data being generated is driving organizations to look for more efficient ways to store and analyze this data. Secondly, the need for faster and more flexible data analytics is driving organizations to move away from traditional on-premise data warehouses to cloud-based solutions. Finally, the decreasing cost of cloud storage and computing is making cloud data warehouses more affordable for organizations of all sizes.

Restraints & Challenges

The cloud data warehouse market is still in its early stages of development, and there are a number of key restraints and challenges that need to be addressed in order for it to reach its full potential. One of the main challenges is the lack of standardization around cloud data warehousing solutions. This means that there is a lack of interoperability between different solutions, which can make it difficult for organizations to switch between different vendors or to combine data from multiple sources. Another challenge is the lack of skilled personnel who are able to effectively manage and utilize cloud data warehousing solutions. This is a particular problem for small and medium-sized enterprises who do not have the internal resources to invest in training staff. Finally, the cost of cloud data warehousing solutions can be a barrier for some organizations, particularly those who are not yet using the cloud for other applications.

Key Market SegmentsBy Type
  • Operational data storage
  • Enterprise DWaaS
By Deployment Mode
  • Public Cloud
  • Private Cloud
By Enterprise Size
  • Small & Medium Enterprises (SMEs)
  • Large Enterprises
By Industry Vertical
  • BFSI
  • IT & Telecom
  • Government
  • Manufacturing
  • Retail
  • Healthcare
  • Others
Key Market Players
  • IBM Corporation
  • AWS
  • Microsoft Corporation
  • Oracle
  • SAP SE
  • Google
  • Snowflake
  • Teradata
  • Pivotal
  • Netavis Software
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Table of Contents

159 Pages
1. Cloud Datawarehouse Market Overview
1.1 Objectives of the Report
1.2 Market Definition and Scope of the Report
1.3 Research Limitations
1.4 Research Methodologies
1.4.1 Secondary Research
1.4.2 Market Size Estimation Technique
1.4.3 Forecasting
1.4.4 Primary Research and Data Validation
2. Executive Summary
2.1 Summary
2.2 Key Findings of the Market
3. Premium Insights on the Market
3.1 Market Attractiveness Analysis, by Region
3.2 Market Attractiveness Analysis, by Type
3.3 Market Attractiveness Analysis, by Deployment Mode
3.4 Market Attractiveness Analysis, by Enterprise Size
3.5 Market Attractiveness Analysis, by Industry Vertical
4. Cloud Datawarehouse Market Outlook
4.1 Market Segmentation
4.2 Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunities
4.3 Porters Five Forces Analysis
4.3.1 Bargaining Power of Buyers
4.3.2 Bargaining Power of Suppliers
4.3.3 Threat of New Entrants
4.3.4 Threat of Substitution
4.3.5 Competitive Rivalry
4.4 PESTLE Analysis
4.5 Value Chain Analysis
4.6 Impact of COVID-19 on the Market
4.7 Impact of the Russia and Ukraine War
5. Cloud Datawarehouse Market by Type
5.1 Overview
5.2 Market Size and Forecast
5.3 Operational Data Storage
5.3.1 Key Market Trends & Opportunity Analysis
5.3.2. Market Size and Forecast, by Region
5.4 Enterprise DWaaS
5.4.1 Key Market Trends & Opportunity Analysis
5.4.2 Market Size and Forecast, by Region
6. Cloud Datawarehouse Market by Deployment Mode
6.1 Overview
6.2 Market Size and Forecast
6.3 Public Cloud
6.3.1 Key Market Trends & Opportunity Analysis
6.3.2 Market Size and Forecast, by Region
6.4 Private Cloud
6.4.1 Key Market Trends & Opportunity Analysis
6.4.2 Market Size and Forecast, by Region
7. Cloud Datawarehouse Market by Enterprise Size
7.1 Overview
7.2 Market Size and Forecast
7.3 Small & Medium Enterprises (SMEs)
7.3.1 Key Market Trends & Opportunity Analysis
7.3.2 Market Size and Forecast, by Region
7.4 Large Enterprises
7.4.1 Key Market Trends & Opportunity Analysis
7.4.2 Market Size and Forecast, by Region
8. Cloud Datawarehouse Market by Industry Vertical
8.1 Overview
8.2 Market Size and Forecast
8.3 BFSI
8.3.1 Key Market Trends & Opportunity Analysis
8.3.2 Market Size and Forecast, by Region
8.4 IT & Telecom
8.4.1 Key Market Trends & Opportunity Analysis
8.4.2 Market Size and Forecast, by Region
8.5 Government
8.5.1 Key Market Trends & Opportunity Analysis
8.5.2 Market Size and Forecast, by Region
8.6 Manufacturing
8.6.1 Key Market Trends & Opportunity Analysis
8.6.2 Market Size and Forecast, by Region
8.7 Retail
8.7.1 Key Market Trends & Opportunity Analysis
8.7.2 Market Size and Forecast, by Region
8.8 Healthcare
8.8.1 Key Market Trends & Opportunity Analysis
8.8.2 Market Size and Forecast, by Region
8.9 Others
8.9.1 Key Market Trends & Opportunity Analysis
8.9.2 Market Size and Forecast, by Region
9. Cloud Datawarehouse Market by Region
9.1. Overview
9.2. North America
9.2.1. Key Market Trends and Opportunities
9.2.2. Market Size and Forecast by Type
9.2.3. Market Size and Forecast by Deployment Mode
9.2.4. Market Size and Forecast by Enterprise Size
9.2.5. Market Size and Forecast by Industry Vertical
9.2.6. Market Size and Forecast by Country
9.2.7. The U.S.
9.2.7.1. Market Size and Forecast by Type
9.2.7.2. Market Size and Forecast by Deployment Mode
9.2.7.3. Market Size and Forecast by Enterprise Size
9.2.7.4. Market Size and Forecast by Industry Vertical
9.2.8. Canada
9.2.8.1. Market Size and Forecast by Type
9.2.8.2. Market Size and Forecast by Deployment Mode
9.2.8.3. Market Size and Forecast by Enterprise Size
9.2.8.4. Market Size and Forecast by Industry Vertical
9.2.9. Mexico
9.2.9.1. Market Size and Forecast by Type
9.2.9.2. Market Size and Forecast by Deployment Mode
9.2.9.3. Market Size and Forecast by Enterprise Size
9.2.9.4. Market Size and Forecast by Industry Vertical
9.3. Europe
9.3.1. Key Market Trends and Opportunities
9.3.2. Market Size and Forecast by Type
9.3.3. Market Size and Forecast by Deployment Mode
9.3.4. Market Size and Forecast by Enterprise Size
9.3.5. Market Size and Forecast by Industry Vertical
9.3.6. Market Size and Forecast by Country
9.3.7. Germany
9.3.7.1. Market Size and Forecast by Type
9.3.7.2. Market Size and Forecast by Deployment Mode
9.3.7.3. Market Size and Forecast by Enterprise Size
9.3.7.4. Market Size and Forecast by Industry Vertical
9.3.8. France
9.3.8.1. Market Size and Forecast by Type
9.3.8.2. Market Size and Forecast by Deployment Mode
9.3.8.3. Market Size and Forecast by Enterprise Size
9.3.8.4. Market Size and Forecast by Industry Vertical
9.3.9. The UK
9.3.9.1. Market Size and Forecast by Type
9.3.9.2. Market Size and Forecast by Deployment Mode
9.3.9.3. Market Size and Forecast by Enterprise Size
9.3.9.4. Market Size and Forecast by Industry Vertical
9.3.10. Spain
9.3.10.1. Market Size and Forecast by Type
9.3.10.2. Market Size and Forecast by Deployment Mode
9.3.10.3. Market Size and Forecast by Enterprise Size
9.3.10.4. Market Size and Forecast by Industry Vertical
9.3.11. Italy
9.3.11.1. Market Size and Forecast by Type
9.3.11.2. Market Size and Forecast by Deployment Mode
9.3.11.3. Market Size and Forecast by Enterprise Size
9.3.11.4. Market Size and Forecast by Industry Vertical
9.3.12. Rest of Europe
9.3.12.1. Market Size and Forecast by Type
9.3.12.2. Market Size and Forecast by Deployment Mode
9.3.12.3. Market Size and Forecast by Enterprise Size
9.3.12.4. Market Size and Forecast by Industry Vertical
9.4. Asia-Pacific
9.4.1. Key Market Trends and Opportunities
9.4.2. Market Size and Forecast by Type
9.4.3. Market Size and Forecast by Deployment Mode
9.4.4. Market Size and Forecast by Enterprise Size
9.4.5. Market Size and Forecast by Industry Vertical
9.4.6. Market Size and Forecast by Country
9.4.7. China
9.4.7.1. Market Size and Forecast by Type
9.4.7.2. Market Size and Forecast by Deployment Mode
9.4.7.3. Market Size and Forecast by Enterprise Size
9.4.7.4. Market Size and Forecast by Industry Vertical
9.4.8. India
9.4.8.1. Market Size and Forecast by Type
9.4.8.2. Market Size and Forecast by Deployment Mode
9.4.8.3. Market Size and Forecast by Enterprise Size
9.4.8.4. Market Size and Forecast by Industry Vertical
9.4.9. Japan
9.4.9.1. Market Size and Forecast by Type
9.4.9.2. Market Size and Forecast by Deployment Mode
9.4.9.3. Market Size and Forecast by Enterprise Size
9.4.9.4. Market Size and Forecast by Industry Vertical
9.4.10. South Korea
9.4.10.1. Market Size and Forecast by Type
9.4.10.2. Market Size and Forecast by Deployment Mode
9.4.10.3. Market Size and Forecast by Enterprise Size
9.4.10.4. Market Size and Forecast by Industry Vertical
9.4.11. Rest of APAC
9.4.11.1. Market Size and Forecast by Type
9.4.11.2. Market Size and Forecast by Deployment Mode
9.4.11.3. Market Size and Forecast by Enterprise Size
9.4.11.4. Market Size and Forecast by Industry Vertical
9.5. Rest of the World
9.5.1. Key Market Trends and Opportunities
9.5.2. Market Size and Forecast by Type
9.5.3. Market Size and Forecast by Deployment Mode
9.5.4. Market Size and Forecast by Enterprise Size
9.5.5. Market Size and Forecast by Industry Vertical
9.5.6. Market Size and Forecast by Country
9.5.7. Latin America
9.5.7.1. Market Size and Forecast by Type
9.5.7.2. Market Size and Forecast by Deployment Mode
9.5.7.3. Market Size and Forecast by Enterprise Size
9.5.7.4. Market Size and Forecast by Industry Vertical
9.5.8. The Middle East
9.5.8.1. Market Size and Forecast by Type
9.5.8.2. Market Size and Forecast by Deployment Mode
9.5.8.3. Market Size and Forecast by Enterprise Size
9.5.8.4. Market Size and Forecast by Industry Vertical
9.5.9. Africa
9.5.9.1. Market Size and Forecast by Type
9.5.9.2. Market Size and Forecast by Deployment Mode
9.5.9.3. Market Size and Forecast by Enterprise Size
9.5.9.4. Market Size and Forecast by Industry Vertical
10. Competitive Landscape
10.1 Overview
10.2 Market Share Analysis
10.3 Ranking by Cloud Datawarehouse Market Revenue
10.4 Vendor Benchmarking
10.5 Developmental Strategy Benchmarking
10.5.1. Acquisitions & Mergers
10.5.2. Product Launches & Development
10.5.3. Business Expansions
10.5.4. Partnerships, Joint Ventures, and Collaborations
11. Company Profiles
11.1 Nous
11.1.1 Company Snapshot
11.1.2 Business Performance
11.1.3 Product Offerings
11.1.4 Key Developmental Strategies
11.1.5 SWOT Analysis
11.2 IBM Corporation
11.3 AWS
11.4 Microsoft Corporation
11.5 Oracle
11.6 SAP SE
11.7 Google
11.8 Snowflake
11.9 Teradata
11.10 Pivotal
11.11 Netavis Software

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