DUBLIN--(BUSINESS WIRE)--The "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" report has been added to ResearchAndMarkets.com's offering.
The Global Data-Warehouse-as-a-Service Market size was estimated at USD 2,033.33 million in 2021, USD 2,311.51 million in 2022, and is projected to grow at a Compound Annual Growth Rate (CAGR) of 13.85% to reach USD 4,429.92 million by 2027.
In this report, the years 2019 and 2020 are considered historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered the forecast period.
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.
Cumulative Impact of COVID-19:
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.
Company Usability Profiles:
- 1010data
- Accur8 Software
- Actian
- Atscale
- AWS
- Cloudera
- Hortonworks
- IBM
- Lux
- Marklogic
- Memsql
- Micro Focus
- Microsoft
- Netavis Software
- Oracle
- Panoply
- Pivotal
- SAP
- Snowflake
- Solver
- Teradata Corporation
- Transwarp
- Veeva Systems
- Yellowbrick
Key Topics Covered:
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
5.3. Cumulative Impact of 2022 Russia Ukraine Conflict
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
14. Europe, Middle East & Africa Data-Warehouse-as-a-Service Market
14.1. Introduction
14.2. France
14.3. Germany
14.4. Italy
14.5. Netherlands
14.6. Qatar
14.7. Russia
14.8. Saudi Arabia
14.9. South Africa
14.10. Spain
14.11. United Arab Emirates
14.12. 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
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
For more information about this report visit https://www.researchandmarkets.com/r/zcbf3f
