The global Data-as-a-Service (DaaS) market size is expected to be valued at US$ 10,429.0 million in 2023. The increasing adoption of cloud services in developing countries is expected to drive market growth. The overall demand for Data as a Service (DaaS) is projected to grow at a CAGR of 23.4% between 2023 and 2033, totaling around 85,619.0 million by 2033.
| Data Points | Key Statistics |
|---|---|
| Data as a Service (DaaS) Market Value 2023 | US$ 10,429.0 million |
| Data as a Service (DaaS) Market Projected Value (2033) | US$ 85,619.0 million |
| Data as a Service (DaaS) Market CAGR (2023 to 2033) | 23.4% |
Data as a Service (DaaS) is a cloud service leveraged to ensure the availability of critical data in a convenient, cost-effective manner to businesses. DaaS model works on the principle of offloading the load and risks associated with Data Management to a third-party Cloud-based provide
DaaS enables users to access specified useful data on demand, regardless of any organization’s structural and geographical barriers.
DaaS eliminates redundancy and streamlines operational costs by integrating critical data of business at a particular location, thus enabling multiple users to use and modify the data through a single update point.
The DaaS technology is used in business for applications including Customer Resource Management (CRM), e-commerce, supply chain management systems, customer intelligence, and Enterprise Resource Planning (ERP).
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The global demand for Data as a Service (DaaS) is projected to increase at a CAGR of 23.4% during the forecast period between 2023 and 2033, reaching a total of US$ 85,619.0 million in 2033, according to a report from Future Market Insights (FMI). From 2018 to 2022, sales witnessed significant growth, registering a CAGR of 21.3%.
The increasing adoption of subscription-based models in several developed regions like North America and Europe offers promising growth prospects for the DaaS market. These platforms allow end-users to switch from a capital expenditure-based model to an operating expenses-based model and acquire the latest technology.
Additionally, small and medium enterprises in developing countries are adopting contact-based services for minimizing operational expenses, and increasing efficiency is expected to drive market growth over the years coming by.
With the growth in the use of big data (complicated data sets) in the professional world, DaaS is expected to play a vital role in the development of enterprises across various industries. Cloud-based infrastructure and services, enterprise data syndication, and consumer services trends focused on XaaS (Everything as a Service) are the primary factors expected to pave the way for the DaaS market globally.
The primary drivers for the paradigm shift of data to cloud-based databases, i.e. data-as-a-service include features offered by cloud-based technologies including scalability and enhanced efficiency. Other factors include the ability to smoothly transfer data among different platforms, compatibility among diverse platforms, and reduction in data maintenance and delivery costs.
The market growth is further propelled by the increasing adoption of dedicated databases, performing efficiently one or two tasks such as transaction processing or analytics.
Additionally, the increasing interest of enterprises to leverage the huge amounts of generated data using a set of complex database tools to create potential business opportunities are the other factors contributing to the growth of the market. The DaaS model enables enterprises to test on-site and cloud-based tools and avoid the upfront capital costs of IT infrastructure.
Principal Consultant
Increasing Adoption of Dedicated Databases to Hinder Market Growth
With the growth in the use of big data (complicated data sets) in the professional world, DaaS is expected to play a vital role in the development of enterprises across various industries. Cloud-based infrastructure and services, enterprise data syndication, and consumer services trends focused on XaaS (Everything as a Service) are the primary factors expected to pave the way for the DaaS market globally.
The primary drivers for the paradigm shift of data to cloud-based databases, i.e. data-as-a-service include features offered by cloud-based technologies including scalability and enhanced efficiency. Other factors include the ability to smoothly transfer data among different platforms, compatibility among diverse platforms, and reduction in the overall cost of data maintenance and delivery.
The market growth is further propelled by the increasing adoption of dedicated databases, performing efficiently one or two tasks such as transaction processing or analytics.
Additionally, increasing interest of enterprises to leverage the huge amounts of generated data using a set of complex database tools to create potential business opportunities are the other factors contributing to the growth of the market. The DaaS model enables enterprises to test on-site and cloud-based tools, and avoid the upfront capital costs of IT infrastructure.
Early Adoption of DaaS Platforms to Capture a Governing Share for North America
In terms of regional platforms, North America holds a significant market share in the Data as a Service (DaaS) market. The region is expected to surge to over 32.6% share in 2022. North America is the biggest market for Data as a Service (DaaS) market to ensure compliance with business processes and legal issues.
North America is one of the early adopters of the latest technologies, such as cloud computing, the IoT, and new service models such as device-as-a-service. Prominent IT firms are concentrating on developing state-of-the-art technology to enhance the optimization of high volumes of data.
In November 2021, Oracle agreed to acquire Nor1. The acquisition extended Oracle Hospitality’s OPERA cloud Suite by Adding the Nor1 Merchandising platform that enables hotels to provide personalized offers throughout the guest journey using AI and machine learning.
The regional market is also feasible on account of government rules and regulations for startups and large enterprises. These aspects are projected to drive market growth. Mounting demand from IT and telecommunications for the device-as-a-service model and the swelling demand for mobile devices in several industries are also likely to favor the growth of the market.
Integration of Cutting-edge Technologies Like Big Data & AI in Pricing Model to Act as Primary Growth Driver
According to Future Market Insights, Europe is expected to provide immense growth opportunities for Data as a Service (DaaS) and is expected to reach the highest share of 22.7% in 2022. Europe is expected to emerge as the second-largest region, driven by the adoption of data-driven strategies in business processes.
This platform helps the customers to shift the huge cost of procuring the latest technology from a capital expenditure to an operating expense.
The digital revolution in the Europe region is encouraging small and medium enterprises to adopt various systems and models to boost their productivity at a lower cost. European companies want to automate their processes as they are experiencing market challenges, including supply chain disruption and skill shortages.
More frequently, companies will adopt Cloud to create a solid real-time data analysis foundation that supports business agility and resilience. Additionally, several companies are shifting their focus from heavily investing in hardware and software to smartly allocating funds on other core activities while adopting data-as-a-service.
Robust Growth in the IT Sector & Rising Investments to Elevate Regional Growth
As per the recent analysis by Future Market Insights, Asia Pacific is anticipated to be a significantly growing region over the forecast period. The growth in the Asia Pacific will primarily be driven by the increasing concentration of IT, and Telecommunication and retail organizations adopting Data as a Service (DaaS) to enhance workability & and streamline their operational cost. These companies are utilizing cloud-based services to store clients’ data and enhance their functionality.
Recently Salesforce designed a platform that is built on Commerce Cloud by ISV partner XCentium. This new digital portal for wholesale apparel and fashion companies can be used to support pre-season ordering and in-season re-supply. It also initiates fully automated interactions across self-service and sales teams.
The increasing internet penetration rate and the unabated growth of several industries in countries such as China, India, and Japan could also bode well for the regional market's growth.
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The global Data as a Service (DaaS) market is segmented into pricing models, deployment type, end-user type, and regions. Based on the end-user type segment, the small & medium enterprises segment captures the highest volume of market share in the global Data, accounting for more than 60% in 2020.
Device-as-a-service aids enterprises to prioritize their investments by leasing hardware and associated services instead of buying high-cost products. The model minimizes cost and increases profit by tracking expenses daily. These factors, along with the growing awareness of the model, are expected to drive the growth of the segment.
The small and medium enterprise segment is also estimated to expand at the highest growth rate of over 38.0% from 2022 to 2032. Small and medium enterprise owners and IT leaders have a range of tasks, comprising managing inventories and avoiding cyberattacks. Besides, small and medium enterprises prefer the operating expenses business model over capital expenditure owing to the cost and flexibility benefits offered.
These factors lead to the high adoption of the device-as-a-service model in small and medium enterprises. The COVID-19 pandemic has accelerated ongoing digital transformation efforts, further boosting the demand for the device-as-a-service model among small and medium enterprises.
How key Players are Opening Frontiers for Future Growth?
There are many prominent market players in the Data as a Service (DaaS) market, who are working hand-in-hand to provide the best-in-class Data as a Service (DaaS) for enhancing the global analytics arena.
However, many global start-ups in the Data as a Service (DaaS) market are stepping forward in matching the requirements of the Data as a Service (DaaS) domain.
What are the Leading Players in the Data as a Service (DaaS) Market Up to?
Recent Developments
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 23.4% from 2023 to 2033 |
| Market Value in 2023 | US$ 10,429.0 million |
| Market Value in 2033 | US$ 85,619.0 million |
| Base Year for Estimates | 2022 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Revenue in US$ million and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
| Segments Covered |
|
| Regions Covered |
|
| Key Countries Profiled |
|
| Key Companies Profiled |
|
The market is valued at US$ 10,429.0 million in 2023.
Cloud-based infrastructure and services, enterprise data syndication, and consumer services trends focused on XaaS are gaining popularity.
Increasing adoption of dedicated databases is expected to hinder market growth.
North America holds a significant market share in the Data as a Service (DAAS) market. It had a 32.6% share in 2022.
Based on the end-user type segment, the small & medium enterprises segment captures the highest market share volume in the global data.
1. Executive Summary
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 Pricing Model
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Pricing Model, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Pricing Model, 2023 to 2033
5.3.1. Volume-Based Model
5.3.2. Data Type-Based Model
5.3.3. Quantity-Based Pricing
5.3.4. Pay-As-Per-Use.
5.4. Y-o-Y Growth Trend Analysis By Pricing Model, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Pricing Model, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Type
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Type, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Type, 2023 to 2033
6.3.1. Public cloud
6.3.2. Private Cloud
6.3.3. Hybrid cloud
6.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Deployment Type, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
7.3.1. SMEs
7.3.2. Large enterprises
7.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. U.S.
9.2.1.2. Canada
9.2.2. By Pricing Model
9.2.3. By Deployment Type
9.2.4. By End User
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Pricing Model
9.3.3. By Deployment Type
9.3.4. By End User
9.4. Key Takeaways
10. Latin 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. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Pricing Model
10.2.3. By Deployment Type
10.2.4. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Pricing Model
10.3.3. By Deployment Type
10.3.4. By End User
10.4. Key Takeaways
11. Western Europe 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. Germany
11.2.1.2. U.K.
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Pricing Model
11.2.3. By Deployment Type
11.2.4. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Pricing Model
11.3.3. By Deployment Type
11.3.4. By End User
11.4. Key Takeaways
12. Eastern 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. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Pricing Model
12.2.3. By Deployment Type
12.2.4. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Pricing Model
12.3.3. By Deployment Type
12.3.4. By End User
12.4. Key Takeaways
13. South Asia and Pacific 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. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Pricing Model
13.2.3. By Deployment Type
13.2.4. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Pricing Model
13.3.3. By Deployment Type
13.3.4. By End User
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 Pricing Model
14.2.3. By Deployment Type
14.2.4. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Pricing Model
14.3.3. By Deployment Type
14.3.4. By End User
14.4. Key Takeaways
15. Middle East and Africa 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. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Pricing Model
15.2.3. By Deployment Type
15.2.4. By End User
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Pricing Model
15.3.3. By Deployment Type
15.3.4. By End User
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. U.S.
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Pricing Model
16.1.2.2. By Deployment Type
16.1.2.3. By End User
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Pricing Model
16.2.2.2. By Deployment Type
16.2.2.3. By End User
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Pricing Model
16.3.2.2. By Deployment Type
16.3.2.3. By End User
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Pricing Model
16.4.2.2. By Deployment Type
16.4.2.3. By End User
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Pricing Model
16.5.2.2. By Deployment Type
16.5.2.3. By End User
16.6. U.K.
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Pricing Model
16.6.2.2. By Deployment Type
16.6.2.3. By End User
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Pricing Model
16.7.2.2. By Deployment Type
16.7.2.3. By End User
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Pricing Model
16.8.2.2. By Deployment Type
16.8.2.3. By End User
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Pricing Model
16.9.2.2. By Deployment Type
16.9.2.3. By End User
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Pricing Model
16.10.2.2. By Deployment Type
16.10.2.3. By End User
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Pricing Model
16.11.2.2. By Deployment Type
16.11.2.3. By End User
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Pricing Model
16.12.2.2. By Deployment Type
16.12.2.3. By End User
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Pricing Model
16.13.2.2. By Deployment Type
16.13.2.3. By End User
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Pricing Model
16.14.2.2. By Deployment Type
16.14.2.3. By End User
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Pricing Model
16.15.2.2. By Deployment Type
16.15.2.3. By End User
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Pricing Model
16.16.2.2. By Deployment Type
16.16.2.3. By End User
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Pricing Model
16.17.2.2. By Deployment Type
16.17.2.3. By End User
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Pricing Model
16.18.2.2. By Deployment Type
16.18.2.3. By End User
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Pricing Model
16.19.2.2. By Deployment Type
16.19.2.3. By End User
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Pricing Model
16.20.2.2. By Deployment Type
16.20.2.3. By End User
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Pricing Model
16.21.2.2. By Deployment Type
16.21.2.3. By End User
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2022
16.22.2.1. By Pricing Model
16.22.2.2. By Deployment Type
16.22.2.3. By End User
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2022
16.23.2.1. By Pricing Model
16.23.2.2. By Deployment Type
16.23.2.3. By End User
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Pricing Model
17.3.3. By Deployment Type
17.3.4. By End User
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Microsoft Corporation
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. Google Inc.
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Amazon Web Services
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. HP Enterprise Services (HP Enterprise strategic business unit)
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. IBM Corporation
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Oracle Corporation
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. EMC Corporation
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. SAP SE
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. SAS Institute, Inc.
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Teradata Corporation.
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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Data As A Service (DaaS) Market
