Data-Warehouse-as-a-Service Market Research Report by Type, Organization Size, Deployment Model, Industry Vertical, Application, Usage, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19

The Global Data-Warehouse-as-a-Service Market size was estimated at USD 2,033.33 million in 2021 and expected to reach USD 2,311.51 million in 2022, and is projected to grow at a CAGR 13.85% to reach USD 4,429.92 million by 2027.

Market Statistics:
The report provides market sizing and forecast across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.

Market Segmentation & Coverage:
This research report categorizes the Data-Warehouse-as-a-Service to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Type, the market was studied across Enterprise Data Warehouse as a Service and Operational Data Storage.

Based on Organization Size, the market was studied across Large Enterprises and Small and Medium-Sized Enterprises.

Based on Deployment Model, the market was studied across Hybrid Cloud, Private Cloud, and Public Cloud.

Based on Industry Vertical, the market was studied across Banking, Financial Services, and Insurance, Government and Public Sector, Healthcare and Pharmaceuticals, Manufacturing, Media and Entertainment, Retail and Ecommerce, Telecommunications and IT, and Travel and Hospitality.

Based on Application, the market was studied across Asset Management, Customer Analytics, Fraud Detection and Threat Management, Risk and Compliance Management, and Supply Chain Management.

Based on Usage, the market was studied across Analytics, Data Mining, and Reporting.

Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Data-Warehouse-as-a-Service market considering the current update on the conflict and its global response.

Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Data-Warehouse-as-a-Service Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Data-Warehouse-as-a-Service Market, including 1010data, Accur8 Software, Actian, Atscale, AWS, Cloudera, Google, Hortonworks, IBM, Lux, Marklogic, Memsql, Micro Focus, Microsoft, Netavis Software, Oracle, Panoply, Pivotal, SAP, Snowflake, Solver, Teradata Corporation, Transwarp, Veeva Systems, and Yellowbrick.

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast of the Global Data-Warehouse-as-a-Service Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Data-Warehouse-as-a-Service Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Data-Warehouse-as-a-Service Market?
4. What is the competitive strategic window for opportunities in the Global Data-Warehouse-as-a-Service Market?
5. What are the technology trends and regulatory frameworks in the Global Data-Warehouse-as-a-Service Market?
6. What is the market share of the leading vendors in the Global Data-Warehouse-as-a-Service Market?
7. What modes and strategic moves are considered suitable for entering the Global Data-Warehouse-as-a-Service Market?

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Rapid adoption of cloud-based solutions and focus on real-time data analysis
5.1.1.2. Strict government regulations and increase in volume of data
5.1.1.3. Rising demand for low latency and high speed analytics in an enterprise management
5.1.2. Restraints
5.1.2.1. Lack of standardization
5.1.3. Opportunities
5.1.3.1. Rise in adoption of data warehouse-as-service among SMEs
5.1.3.2. Growing penetration of cloud technology in various industry vertical
5.1.4. Challenges
5.1.4.1. Scarcity of skilled personnel and cloud data security
5.2. Cumulative Impact of COVID-19

6. Data-Warehouse-as-a-Service Market, by Type
6.1. Introduction
6.2. Enterprise Data Warehouse as a Service
6.3. Operational Data Storage

7. Data-Warehouse-as-a-Service Market, by Organization Size
7.1. Introduction
7.2. Large Enterprises
7.3. Small and Medium-Sized Enterprises

8. Data-Warehouse-as-a-Service Market, by Deployment Model
8.1. Introduction
8.2. Hybrid Cloud
8.3. Private Cloud
8.4. Public Cloud

9. Data-Warehouse-as-a-Service Market, by Industry Vertical
9.1. Introduction
9.2. Banking, Financial Services, and Insurance
9.3. Government and Public Sector
9.4. Healthcare and Pharmaceuticals
9.5. Manufacturing
9.6. Media and Entertainment
9.7. Retail and Ecommerce
9.8. Telecommunications and IT
9.9. Travel and Hospitality

10. Data-Warehouse-as-a-Service Market, by Application
10.1. Introduction
10.2. Asset Management
10.3. Customer Analytics
10.4. Fraud Detection and Threat Management
10.5. Risk and Compliance Management
10.6. Supply Chain Management

11. Data-Warehouse-as-a-Service Market, by Usage
11.1. Introduction
11.2. Analytics
11.3. Data Mining
11.4. Reporting

12. Americas Data-Warehouse-as-a-Service Market
12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Data-Warehouse-as-a-Service Market
13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa Data-Warehouse-as-a-Service Market
14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape
15.1. FPNV Positioning Matrix
15.1.1. Quadrants
15.1.2. Business Strategy
15.1.3. Product Satisfaction
15.2. Market Ranking Analysis, By Key Player
15.3. Market Share Analysis, By Key Player
15.4. Competitive Scenario
15.4.1. Merger & Acquisition
15.4.2. Agreement, Collaboration, & Partnership
15.4.3. New Product Launch & Enhancement
15.4.4. Investment & Funding
15.4.5. Award, Recognition, & Expansion

16. Company Usability Profiles
16.1. 1010data
16.1.1. Business Overview
16.1.2. Key Executives
16.1.3. Product & Services
16.2. Accur8 Software
16.2.1. Business Overview
16.2.2. Key Executives
16.2.3. Product & Services
16.3. Actian
16.3.1. Business Overview
16.3.2. Key Executives
16.3.3. Product & Services
16.4. Atscale
16.4.1. Business Overview
16.4.2. Key Executives
16.4.3. Product & Services
16.5. AWS
16.5.1. Business Overview
16.5.2. Key Executives
16.5.3. Product & Services
16.6. Cloudera
16.6.1. Business Overview
16.6.2. Key Executives
16.6.3. Product & Services
16.7. Google
16.7.1. Business Overview
16.7.2. Key Executives
16.7.3. Product & Services
16.8. Hortonworks
16.8.1. Business Overview
16.8.2. Key Executives
16.8.3. Product & Services
16.9. IBM
16.9.1. Business Overview
16.9.2. Key Executives
16.9.3. Product & Services
16.10. Lux
16.10.1. Business Overview
16.10.2. Key Executives
16.10.3. Product & Services
16.11. Marklogic
16.11.1. Business Overview
16.11.2. Key Executives
16.11.3. Product & Services
16.12. Memsql
16.12.1. Business Overview
16.12.2. Key Executives
16.12.3. Product & Services
16.13. Micro Focus
16.13.1. Business Overview
16.13.2. Key Executives
16.13.3. Product & Services
16.14. Microsoft
16.14.1. Business Overview
16.14.2. Key Executives
16.14.3. Product & Services
16.15. Netavis Software
16.15.1. Business Overview
16.15.2. Key Executives
16.15.3. Product & Services
16.16. Oracle
16.16.1. Business Overview
16.16.2. Key Executives
16.16.3. Product & Services
16.17. Panoply
16.17.1. Business Overview
16.17.2. Key Executives
16.17.3. Product & Services
16.18. Pivotal
16.18.1. Business Overview
16.18.2. Key Executives
16.18.3. Product & Services
16.19. SAP
16.19.1. Business Overview
16.19.2. Key Executives
16.19.3. Product & Services
16.20. Snowflake
16.20.1. Business Overview
16.20.2. Key Executives
16.20.3. Product & Services
16.21. Solver
16.21.1. Business Overview
16.21.2. Key Executives
16.21.3. Product & Services
16.22. Teradata Corporation
16.22.1. Business Overview
16.22.2. Key Executives
16.22.3. Product & Services
16.23. Transwarp
16.23.1. Business Overview
16.23.2. Key Executives
16.23.3. Product & Services
16.24. Veeva Systems
16.24.1. Business Overview
16.24.2. Key Executives
16.24.3. Product & Services
16.25. Yellowbrick
16.25.1. Business Overview
16.25.2. Key Executives
16.25.3. Product & Services

17. Appendix
17.1. Discussion Guide
17.2. License & Pricing