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Data Virtualization Cloud Market Introduction

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%

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Global Data Virtualization Cloud Market Historical Analysis (2018 to 2022) Vs. Forecast Outlook (2023 to 2033)

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.

Category-wise Insights

Standalone software Data Virtualization Cloud Market Segment Generates More than Half of the Global Revenue

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.

Business Intelligence Services by Data Virtualization is Evolving the Market

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.

Shifting to Public Cloud Models offers Enterprises a Way to cut down IT operations Expenses.

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.

Banking, Financial Services & Insurance Companies Remain the Key End-User for the Market

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%.

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Sudip Saha

Principal Consultant

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Comparative View of Adjacent Data Virtualization Cloud Market

Data Virtualization Cloud Market:

Attributes Data Virtualization Cloud Market
CAGR (2023 to 2033) 25.2%
Market Value (2023) US$ 1139 million
Growth Factor Advancement in cloud storage solutions
Future Opportunities Requirement of more business intelligence services
Market Trends The global trend is shifting towards Asia Pacific countries

Data as a Service (DaaS) Market:

Attributes Data as a Service (DaaS) Market
CAGR (2023 to 2033) 23.2%
Market Value (2023) US$ 10,548.9 million
Growth Factor Rise in the IT service sector
Future Opportunities Evolving business models and strategies
Market Trends Online customer based business are the major end-users

Cloud systems Management Software Market:

Attributes Cloud systems Management Software Market
CAGR (2023 to 2033) 24%
Market Value (2023) US$ 20.2 billion
Growth Factor Need for high capacity and costly servers
Future Opportunities Early adoption by SMEs and new entrepreneurs
Market Trends Large enterprises make the bulk of the demand

Country-wise Insights

United States based Data Virtualization Cloud Service Giants to Set the Global Trends

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.

Regulatory Framework for Data Virtualization Cloud Services are Forecasted to Tighten in European Countries

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.

Strategic Initiatives by Asian Businesses to Heighten the Demand for Data Virtualization

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.

Middle East & African Countries to Garner Higher Traction by Overseas Market Players

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.

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Data Center Virtualization Cloud Market Companies and Competitive Intelligence

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

  • IBM Corporation has made advancements in the new version of Cloud Pak for Data Virtualization. The updated versions provide support for Red Hat OpenShift Container Storage and Red Hat® OpenShift® Container Platform (Version 4.3). It is expected to enable customers to deploy their applications on scalable and secure resources. In addition, Cloud Pak for Data Virtualization features various new services, improved auditing capabilities, and several updates to legacy services.
  • Denodo has developed a data virtualization cloud that provides multi-location architecture deployment of its Denodo Platform on public clouds such as Microsoft Azure. Amazon Web Services (AWS) Cloud and Google Cloud Platform (GCP) are some of the other hybrid cloud and private cloud ecosystems. It integrates without compromising security, performance, and governance. The solution has been specially developed to offer location transparency, reducing the cost-intensive movement of data across multi-cloud or hybrid cloud ecosystems.
  • Informatica has designed its data virtualization solution - PowerCenter - that focuses on enterprises that need innovative data conversion capabilities. The solution allows customers to test and audit converted data without the need to jot down code. In addition, PowerCenter supports various add-on packages such as B2B Data Exchange, Data Integration Hub, and PowerExchange for Cloud Applications.

Key Companies Profiled in the Market Report

  • IBM Corporation
  • Denodo Technologies
  • Informatica Inc.
  • Oracle Corporation, SAP
  • Tibco Software
  • Microsoft Corporation
  • Datometry
  • VMware, Inc.

Data Virtualization Cloud Market Report: Scope

  • Forecast Period for 2023 to 2033
  • Historical Data Available for -2017 to 2022
  • Market Analysis - US$ Million for value
  • Key Regions Covered -North America, Latin America, Europe, South Asia and Pacific, East Asia, and Middle East & Africa (MEA)
  • Key Countries Covered -United States, Canada, Brazil, Mexico, Germany, United Kingdom, France, Italy, Spain, BENELUX, China, Japan, South Korea, India, ASEAN, Australia, New Zealand, GCC Countries, Turkey, Northern Africa, Israel, South Africa
  • Key Segments Covered -Component, Data Consumer, Deployment Model, End-use Industry, and Region
  • Report Coverage- Market Forecast, brand share analysis, competition intelligence, DROT analysis, Market Dynamics and Challenges, Strategic Growth Initiatives
  • Customization & Pricing - Available upon Request

Key Segments Covered by the Data Virtualization Cloud Industry Analysis Report

Market Segments by Component:

  • Standalone Software
  • Data Integration Tools
  • Application Tool Solution
  • Other Components

Industry Segments by Data Consumer:

  • Business Intelligence Tools
  • Enterprise Applications
  • Mobile and Web Applications
  • Other Consumers

Market Segments by Deployment Model:

  • Public Cloud
  • Hybrid Cloud
  • Private Cloud
  • Multi-Cloud

Market Segments by End-use Industry:

  • Banking, Financial Services, and Insurance (BFSI)
  • IT and Telecom Industry
  • Retail and e-Commerce Industry
  • Government and Defense Industry
  • Healthcare Industry
  • Manufacturing Industry
  • Other Industries

Market Segments by Regional Outlook:

  • North America (United States, Canada)
  • Latin America (Brazil, Mexico)
  • Europe (Germany, United Kingdom, Russia, France, Italy)
  • South Asia & Pacific (India, ASEAN, and Oceania)
  • East Asia (China, Japan, and South Korea)
  • Middle East & Africa (MEA) (Turkey, GCC Countries, and South Africa)

Frequently Asked Questions

How Big is the Data Virtualization Cloud Market?

The market is valued at US$ 1,139 million in 2023.

Who are the Key Data Virtualization Cloud Market Players?

IBM Corporation, Denodo, and Informatica are key data virtualization cloud market players.

Which is the Key Segment by Application Type?

BFSI sector is likely to remain prominent through 2033.

How was the Historical Performance of the Market?

The market registered a CAGR of 22.8% from 2018 to 2022.

Which are the Key Asian Countries in the Data Virtualization Cloud Market?

India, Japan, and China dominate the Asian market.

Table of Content

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

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