The data virtualization cloud market is capturing a valuation of US$ 1,139 million in 2023 and is predicted to reach US$ 10,778.7 million by 2033. The market is registering a CAGR of 25.2% during the forecast period.
Business resilience and cost optimization have emerged as key influencers of IT investment decisions and virtualized data center architecture in the cloud. Especially, Infrastructure as a service (IaaS) is developed by hybrid data virtualization cloud to enable both.
AI and ML in Data Virtualization Cloud - An Emerging Trend in Data Center Virtualization Cloud Market
Artificial intelligence (AI) will transform the way businesses operate as well as the way people work, which will help to liberate creativity and potential. In addition, AI and machine learning (ML) will increase labor efficiency, and make chatbots smarter and marketing wiser.
However, applying AI to data preparation in data virtualization is still in its early days and is tougher than applying it in more generalized use cases, as training data sets are more restricted. As such, more extensive application of ML to data virtualization in cloud computing is anticipated to emerge in the coming days.
| Attributes | Details |
|---|---|
| Data Virtualization Cloud Market Share (2022) | US$ 913.5 million |
| Data Virtualization Cloud Market Size Value (2023) | US$ 1,139 million |
| Data Virtualization Cloud Market Size Value (2033) | US$ 10,778.7 million |
| Data Virtualization Cloud Market Growth Rate (2023 to 2033) | 25.2% |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
As per the earlier reports of FMI, the total valuation of total data virtualization cloud services adopted in the year 2015 was US$ 210.5 million. During the following years, from 2015 to 2022, the market registered a CAGR of 22.8% finally culminating at US$ 913.5 million.
The pandemic spurred the adoption of cloud solutions with both digital service providers and conventional IT organizations rendering the market a higher CAGR in the post-pandemic period.
| Market Segments by Component | Standalone Software |
|---|---|
| Value in 2023 | US$ 569.4 million |
| CAGR (2023 to 2033) | 22.7% |
| Market Segments by Component | Data Integration Tools |
|---|---|
| Value in 2023 | US$ 381.4 million |
| CAGR (2023 to 2033) | 25.9% |
| Market Segments by Component | Application Tool Solution |
|---|---|
| Value in 2023 | US$ 188.2 million |
| CAGR (2023 to 2033) | 30.5% |
Standalone software is integral for companies having a strong focus on all specific domains such as HR, or finance. These solutions help leverage every core and more advanced functionality that all domains require making it the leading segment based on component. Furthermore, the standalone data virtualization cloud market segment is preferred more for staving off the fear of getting lost in additional unnecessary data from other departments.
| Market Segments by Data Consumer | Business Intelligence Tools |
|---|---|
| Value in 2023 | US$ 576.5 million |
| CAGR (2023 to 2033) | 24.1% |
| Market Segments by Data Consumer | Enterprise Allocation |
|---|---|
| Value in 2023 | US$ 262.2 million |
| CAGR (2023 to 2033) | 31.8% |
| Market Segments by Data Consumer | Mobile and Web Applications |
|---|---|
| Value in 2023 | US$ 300.2 million |
| CAGR (2023 to 2033) | 20.6% |
With various tech giants and start-ups bringing up business intelligence (BI) tools, BI continues to march into every industry going from ‘nice-to-have’ to ‘absolute-must-have’. A key benefit of data virtualization cloud solutions in BI tools is streamlining of existing business ecosystems.
| Market Segments by Deployment model | Public Cloud Data Virtualization |
|---|---|
| Value in 2023 | US$ 600.1 million |
| CAGR (2023 to 2033) | 22.1% |
| Market Segments by Deployment model | Hybrid Cloud Data Virtualization |
|---|---|
| Value in 2023 | US$ 237.1 million |
| CAGR (2023 to 2033) | 25.8% |
| Market Segments by Deployment model | Private Cloud Data Virtualization |
|---|---|
| Value in 2023 | US$ 174.9 million |
| CAGR (2023 to 2033) | 28.8% |
| Market Segments by Deployment model | Multi-cloud Data Virtualization |
|---|---|
| Value in 2023 | US$ 126.9 million |
| CAGR (2023 to 2033) | 31.9% |
Among various deployment models, public data virtualization cloud solutions continue to define stakeholders’ bottom lines. According to a survey, 31% of enterprises depend on the public cloud, as relatively cost-effective compared to private and hybrid models.
Subsequently, several small and medium-sized businesses are leveraging public cloud services to outsource certain aspects of cyber security to larger providers with better resources.
Despite carrying the benefit of application portability, the majority of multi-cloud deployment models are highly focused on acquirement, risk mitigation, and functionality compared to portability.
| Market Segments by End-use Industry | BFSI |
|---|---|
| Value in 2023 | US$ 336 million |
| CAGR (2023 to 2033) | 22.9% |
| Market Segments by End-use Industry | IT & Telecom |
|---|---|
| Value in 2023 | US$ 241.2 million |
| CAGR (2023 to 2033) | 19.9% |
| Market Segments by End-use Industry | Retail & e-Commerce |
|---|---|
| Value in 2023 | US$ 123.1 million |
| CAGR (2023 to 2033) | 32.6% |
| Market Segments by End-use Industry | Government and Defence |
|---|---|
| Value in 2023 | US$ 149.4 million |
| CAGR (2023 to 2033) | 26.1% |
| Market Segments by End-use Industry | Healthcare |
|---|---|
| Value in 2023 | US$ 151 million |
| CAGR (2023 to 2033) | 30.6% |
| Market Segments by End-use Industry | Manufacturing |
|---|---|
| Value in 2023 | US$ 89.6 million |
| CAGR (2023 to 2033) | 27.7% |
| Market Segments by End-use Industry | Other End-users |
|---|---|
| Value in 2023 | US$ 48.7 million |
| CAGR (2023 to 2033) | 17.6% |
Cloud innovation is rapidly becoming a core driver in worldwide digital disruption and is increasingly gaining more persuasiveness with the BFSI industry.
As financial service customers move from on-premise to cloud ecosystems, costs shift from capital expenses (CAPEX) to operational expenses (OPEX) is a general trend. As per a study, moving back-office operations to cloud-based solutions enables financial institutions to attain savings of about 30-40%.
Principal Consultant
North America currently spearheads global data virtualization in the cloud computing market. Over half of the revenue of leading IaaS public cloud services providers such as Microsoft Corporation, and Google LLC comes from the United States.
| Regional Markets in America | United States |
|---|---|
| Market Value (2023) | US$ 330.4 million |
| CAGR (2023 to 2033) | 20.9% |
| Regional Markets in America | Canada |
|---|---|
| Market Value (2023) | US$ 73.7 million |
| CAGR (2023 to 2033) | 24.4% |
| Regional Markets in America | Brazil |
|---|---|
| Market Value (2023) | US$ 25 million |
| CAGR (2023 to 2033) | 26.5% |
| Regional Markets in America | Mexico |
|---|---|
| Market Value (2023) | US$ 18.8 million |
| CAGR (2023 to 2033) | 29.5% |
| Regional Markets in America | Rest of Latin America |
|---|---|
| Market Value (2023) | US$ 8.5 million |
| CAGR (2023 to 2033) | 19.4% |
| Regional Markets in America | North America |
|---|---|
| Market Value (2023) | US$ 404.1 million |
| CAGR (2023 to 2033) | 21.6% |
| Regional Markets in America | Latin America |
|---|---|
| Market Value (2023) | US$ 52.3 million |
| CAGR (2023 to 2033) | 26.5% |
Such broad factors are projected to drive the data virtualization cloud market in North America. FMI further underlines that the market in the United States is generating revenues nearly 5X compared to that of Canada.
| Regional Markets in Europe | Germany |
|---|---|
| Market Value (2023) | US$ 120.4 million |
| CAGR (2023 to 2033) | 19.7% |
| Regional Markets in Europe | France |
|---|---|
| Market Value (2023) | US$ 37.7 million |
| CAGR (2023 to 2033) | 22.3% |
| Regional Markets in Europe | Italy |
|---|---|
| Market Value (2023) | US$ 14.5 million |
| CAGR (2023 to 2033) | 24.9% |
| Regional Markets in Europe | Spain |
|---|---|
| Market Value (2023) | US$ 10.8 million |
| CAGR (2023 to 2033) | 26.7% |
| Regional Markets in Europe | United Kingdom |
|---|---|
| Market Value (2023) | US$ 41.6 million |
| CAGR (2023 to 2033) | 29.7% |
| Regional Markets in Europe | Benelux |
|---|---|
| Market Value (2023) | US$ 20.5 million |
| CAGR (2023 to 2033) | 18.4% |
| Regional Markets in Europe | Russia |
|---|---|
| Market Value (2023) | US$ 26.1 million |
| CAGR (2023 to 2033) | 22.1% |
| Regional Markets in Europe | Rest of Europe |
|---|---|
| Market Value (2023) | US$ 4.7 million |
| CAGR (2023 to 2033) | 15.5% |
| Regional Markets in Europe | Europe |
|---|---|
| Market Value (2023) | US$ 276.4 million |
| CAGR (2023 to 2033) | 22.4% |
Driven by government regulations, 80% of businesses in the United Kingdom are required to back up their data for a certain period of time. Some European Union (EU) initiatives such as GAIA-X and GDPR, along with the 'cloud tax' in France, are offering huge impetus for European enterprises to store data locally.
Such trends are also likely to propel the adoption of data virtualization cloud solutions in Germany, which holds about 45% of regional market revenue. Apart from Germany, France, and the United Kingdom capture double-digit revenue share in the global market.
With technologies contributing significantly to strategic initiatives driving enterprise innovation in the Asia Pacific region, it is emerging as a key market in recent years. Furthermore, with cost-effective synergies among businesses, public cloud services could be key revenue generators of data virtualization cloud market in East Asia.
| Regional Markets in Asia Pacific | China |
|---|---|
| Market Value (2023 | US$ 147.6 million |
| CAGR (2023 to 2033) | 29.9% |
| Regional Markets in Asia Pacific | Japan |
|---|---|
| Market Value (2023 | US$ 50.6 million |
| CAGR (2023 to 2033) | 27% |
| Regional Markets in Asia Pacific | South Korea |
|---|---|
| Market Value (2023 | US$ 37.4 million |
| CAGR (2023 to 2033) | 23.8% |
| Regional Markets in Asia Pacific | India |
|---|---|
| Market Value (2023 | US$ 49.6 million |
| CAGR (2023 to 2033) | 37.5% |
| Regional Markets in Asia Pacific | Thailand |
|---|---|
| Market Value (2023 | US$ 14.2 million |
| CAGR (2023 to 2033) | 33.3% |
| Regional Markets in Asia Pacific | Malaysia |
|---|---|
| Market Value (2023 | US$ 9.3 million |
| CAGR (2023 to 2033) | 29% |
| Regional Markets in Asia Pacific | Indonesia |
|---|---|
| Market Value (2023 | US$ 17.2 million |
| CAGR (2023 to 2033) | 26.3% |
| Regional Markets in Asia Pacific | Australia & New Zealand |
|---|---|
| Market Value (2023 | US$ 26.2 million |
| CAGR (2023 to 2033) | 30.6% |
| Regional Markets in Asia Pacific | Rest of South Asia & Pacific |
|---|---|
| Market Value (2023 | US$ 13.5 million |
| CAGR (2023 to 2033) | 22.6% |
| Regional Markets in Asia Pacific | East Asia |
|---|---|
| Market Value (2023 | US$ 235.6 million |
| CAGR (2023 to 2033) | 28.4% |
| Regional Markets in Asia Pacific |
South Asia & Pacific |
|---|---|
| Market Value (2023 | US$ 130 million |
| CAGR (2023 to 2033) | 32.3% |
While China remains a key market, Japan and South Korea collectively account for nearly 40% share. Interestingly, India is the up-and-coming market with a higher demand for data virtualization cloud services owing to its budding services sector.
| Regional Markets in MEA | GCC Countries |
|---|---|
| Market Value (2022) | US$ 15.6 million |
| CAGR (2023 to 2033) | 29% |
| Regional Markets in MEA | Türkiye |
|---|---|
| Market Value (2022) | US$ 14.5 million |
| CAGR (2023 to 2033) | 31.7% |
| Regional Markets in MEA | South Africa |
|---|---|
| Market Value (2022) | US$ 6.3 million |
| CAGR (2023 to 2033) | 35.4% |
| Regional Markets in MEA | Rest of MEA |
|---|---|
| Market Value (2022) | US$ 4.3 million |
| CAGR (2023 to 2033) | 24.5% |
| Regional Markets in MEA | Middle East & Africa (MEA) |
|---|---|
| Market Value (2022) | US$ 40.6 million |
| CAGR (2023 to 2033) | 30.6% |
In a similar vein, with North America and Europe, the market is anticipated to see explosive growth in MEA, despite lagging in terms of revenue. The hybrid data virtualization cloud market in the Middle East & African countries is expected to be driven majorly by small- and medium-sized enterprises.
With the colossal volume of data generated every day, organizations are turning to standalone software data virtualization cloud market and solutions nowadays. As such, in order to reach a larger customer base, service providers are equipping data virtualization cloud solutions with distinct features that effectively serve end-user needs. Some of the remarkable advancements in this context include
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
The market is valued at US$ 1,139 million in 2023.
IBM Corporation, Denodo, and Informatica are key data virtualization cloud market players.
BFSI sector is likely to remain prominent through 2033.
The market registered a CAGR of 22.8% from 2018 to 2022.
India, Japan, and China dominate the Asian market.
1. Executive Summary | Data Virtualization Cloud Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Solution
5.3.1.1. Standalone Software
5.3.1.2. Data Integration Solution
5.3.1.3. Application Tool Solution
5.3.2. Services
5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Data Consumer
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Data Consumer, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Data Consumer, 2023 to 2033
6.3.1. Business Intelligence Tools
6.3.2. Enterprise Applications
6.3.3. Mobile and Web Applications
6.4. Y-o-Y Growth Trend Analysis By Data Consumer, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Data Consumer, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Model
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Deployment Model, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Model, 2023 to 2033
7.3.1. Public Cloud
7.3.2. Hybrid Cloud
7.3.3. Private Cloud
7.3.4. Multi-Cloud
7.4. Y-o-Y Growth Trend Analysis By Deployment Model, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Deployment Model, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-use Industry
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By End-use Industry, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-use Industry, 2023 to 2033
8.3.1. BFSI
8.3.2. IT and Telecom
8.3.3. Retail and e-Commerce
8.3.4. Government and Defence
8.3.5. Healthcare
8.3.6. Manufacturing
8.3.7. Others
8.4. Y-o-Y Growth Trend Analysis By End-use Industry, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By End-use Industry, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Europe
9.3.4. South Asia
9.3.5. East Asia
9.3.6. Oceania
9.3.7. MEA
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. The USA
10.2.1.2. Canada
10.2.2. By Component
10.2.3. By Data Consumer
10.2.4. By Deployment Model
10.2.5. By End-use Industry
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By Data Consumer
10.3.4. By Deployment Model
10.3.5. By End-use Industry
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Component
11.2.3. By Data Consumer
11.2.4. By Deployment Model
11.2.5. By End-use Industry
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Data Consumer
11.3.4. By Deployment Model
11.3.5. By End-use Industry
11.4. Key Takeaways
12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. United Kingdom
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Europe
12.2.2. By Component
12.2.3. By Data Consumer
12.2.4. By Deployment Model
12.2.5. By End-use Industry
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Data Consumer
12.3.4. By Deployment Model
12.3.5. By End-use Industry
12.4. Key Takeaways
13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Malaysia
13.2.1.3. Singapore
13.2.1.4. Thailand
13.2.1.5. Rest of South Asia
13.2.2. By Component
13.2.3. By Data Consumer
13.2.4. By Deployment Model
13.2.5. By End-use Industry
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Data Consumer
13.3.4. By Deployment Model
13.3.5. By End-use Industry
13.4. Key Takeaways
14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Component
14.2.3. By Data Consumer
14.2.4. By Deployment Model
14.2.5. By End-use Industry
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By Data Consumer
14.3.4. By Deployment Model
14.3.5. By End-use Industry
14.4. Key Takeaways
15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. Australia
15.2.1.2. New Zealand
15.2.2. By Component
15.2.3. By Data Consumer
15.2.4. By Deployment Model
15.2.5. By End-use Industry
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Component
15.3.3. By Data Consumer
15.3.4. By Deployment Model
15.3.5. By End-use Industry
15.4. Key Takeaways
16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Component
16.2.3. By Data Consumer
16.2.4. By Deployment Model
16.2.5. By End-use Industry
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Component
16.3.3. By Data Consumer
16.3.4. By Deployment Model
16.3.5. By End-use Industry
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Component
17.1.2.2. By Data Consumer
17.1.2.3. By Deployment Model
17.1.2.4. By End-use Industry
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Component
17.2.2.2. By Data Consumer
17.2.2.3. By Deployment Model
17.2.2.4. By End-use Industry
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Component
17.3.2.2. By Data Consumer
17.3.2.3. By Deployment Model
17.3.2.4. By End-use Industry
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Component
17.4.2.2. By Data Consumer
17.4.2.3. By Deployment Model
17.4.2.4. By End-use Industry
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Component
17.5.2.2. By Data Consumer
17.5.2.3. By Deployment Model
17.5.2.4. By End-use Industry
17.6. United Kingdom
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Component
17.6.2.2. By Data Consumer
17.6.2.3. By Deployment Model
17.6.2.4. By End-use Industry
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Component
17.7.2.2. By Data Consumer
17.7.2.3. By Deployment Model
17.7.2.4. By End-use Industry
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Component
17.8.2.2. By Data Consumer
17.8.2.3. By Deployment Model
17.8.2.4. By End-use Industry
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Component
17.9.2.2. By Data Consumer
17.9.2.3. By Deployment Model
17.9.2.4. By End-use Industry
17.10. India
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Component
17.10.2.2. By Data Consumer
17.10.2.3. By Deployment Model
17.10.2.4. By End-use Industry
17.11. Malaysia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Component
17.11.2.2. By Data Consumer
17.11.2.3. By Deployment Model
17.11.2.4. By End-use Industry
17.12. Singapore
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Component
17.12.2.2. By Data Consumer
17.12.2.3. By Deployment Model
17.12.2.4. By End-use Industry
17.13. Thailand
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Component
17.13.2.2. By Data Consumer
17.13.2.3. By Deployment Model
17.13.2.4. By End-use Industry
17.14. China
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Component
17.14.2.2. By Data Consumer
17.14.2.3. By Deployment Model
17.14.2.4. By End-use Industry
17.15. Japan
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Component
17.15.2.2. By Data Consumer
17.15.2.3. By Deployment Model
17.15.2.4. By End-use Industry
17.16. South Korea
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Component
17.16.2.2. By Data Consumer
17.16.2.3. By Deployment Model
17.16.2.4. By End-use Industry
17.17. Australia
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Component
17.17.2.2. By Data Consumer
17.17.2.3. By Deployment Model
17.17.2.4. By End-use Industry
17.18. New Zealand
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Component
17.18.2.2. By Data Consumer
17.18.2.3. By Deployment Model
17.18.2.4. By End-use Industry
17.19. GCC Countries
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Component
17.19.2.2. By Data Consumer
17.19.2.3. By Deployment Model
17.19.2.4. By End-use Industry
17.20. South Africa
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Component
17.20.2.2. By Data Consumer
17.20.2.3. By Deployment Model
17.20.2.4. By End-use Industry
17.21. Israel
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Component
17.21.2.2. By Data Consumer
17.21.2.3. By Deployment Model
17.21.2.4. By End-use Industry
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Component
18.3.3. By Data Consumer
18.3.4. By Deployment Model
18.3.5. By End-use Industry
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. Oracle Corporation
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. SAP
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. Tibco Software
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. Microsoft Corporation
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Cisco Systems, Inc.
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Adaptive Insights
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. Microsoft Corporation
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. Denodo Technologies Inc.
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. OpenLink Software Inc.
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. QlikTech International AB
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
Explore Technology Insights
View Reports
Data Virtualization Cloud Market
