Data-as-a-Service (DaaS) Market Snapshot (2023 to 2033)

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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Data as a Service (DaaS) Demand Analysis (2018 To 2022) Vs Market Outlook (2023 To 2033)

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.

Which Drivers Underpin Data as a Service (DaaS) Industry Expansion?

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.

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Sudip Saha

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What are the Challenges Faced by Data as a Service (DaaS) Industry?

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.

Region-wise Insights

Will North America Hold a Significant Position in the Global Data as a Service (DaaS) Market?

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.

How Will the Growth of the European Data as a Service (DaaS) Market unfold?

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.

How is the APAC region Bolstering the Demand for Data as a Service (DaaS)?

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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Category-wise Insights

By End-user type, Which Data as a Service (DaaS) Category Will Remain Prominent?

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.

The Startup Ecosystem

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.

  • Founded in 2016, Aiven is a cloud-based managed DBaaS, open-source database, and messaging solutions. The platform provides the ability to scale services to the same cloud as the deployments and migrate between cloud providers. The system can be integrated with ElasticSearch, Kafta, PostgreSQL, Grafana, Cassandra, InfluxDB, and Redis. Their solutions include open-source database and messaging products available for AWS, GCP, and Azure. Clients include Toyota, Sphero, Reserve, Match, TokenMarket, Peakon, and Johnson Controls. The company is based out of Helsinki (Finland) and garnered funding of US$ 421 million.
  • Launched in 2011, Qubole is a provider of a cloud-based data lake platform. The product offered by the company is a unified interface for connecting various data sources and querying them on the chosen technology and infrastructure. The platform uses machine learning to create and manage automated pipelines, and infrastructure optimization. It can also be used for ad-hoc querying, BI workloads, and application workloads. The clients of the company include GANNETT, KFC, Gaia, etc. Since its launch, the company has collected funding of US$ 75 million and is headquartered in Santa Clara.
  • Founded in 2018, Planetscale is a NewSQL-based database-as-a-service platform. It enables organizations to spin out multi-cluster without the operational overhead and allows businesses to protect, access, and drive insights from their data. The features of the platform include auto failover & backups, cluster configuration, and the facility to manage shards. The company is located in Mountain View (United States) and captured funding of nearly US$ 105 million.
  • Founded in 2010, Tesora, previously known as Plastic, offers an open database as-a-Service platform based on OpenStack called Trove, administrators can go beyond computing and storage to offer users self-service, managed DB service for MySQL, and other leading databases like MongoDB, CouchDB, Redis, etc. the firm is based out of Cambridge (United States) and captured overall funding of US$ 16 million.

Competitive Landscape

What are the Leading Players in the Data as a Service (DaaS) Market Up to?

  • In December 2021, The European Commission approved unconditionally, under the EU Merger Regulation, the proposed acquisition of Nuance Communications, Inc. (‘Nuance') by Microsoft Corporation (‘Microsoft'). The Commission concluded that the transaction would raise no competition concerns in the European Economic Area (‘EEA').
  • In March 2022, Google LLC signed a definitive agreement to acquire Mandiant, Inc., a leader in dynamic cyber defense and response, for $ 23.00 per share, in an all-cash transaction valued at approximately $ 5.4 billion, inclusive of Mandiant’s net cash. Upon the close of the acquisition, Mandiant will join Google Cloud.
  • In May 2021, Amazon and MGM entered into a definitive merger agreement under which Amazon will acquire MGM for a purchase price of $8.45 billion. MGM has nearly a century of filmmaking history and complements the work of Amazon Studios, which has primarily focused on producing TV show programming.

Recent Developments

  • January 2023: Google Cloud Platform announces the public release of BigQuery Omni, a new tool that lets organizations examine data between on-premises and cloud data sources.
  • February 2023: Amazon Web Services introduced the debut of Amazon Managed Data Warehouse for SQL Server, a completely managed solution.
  • March 2023: Microsoft introduced the public release of Azure Data Lake Analytics Gen2, a new version of its cloud-based data lake analytics service that promises increased speed, scalability, and security.

Report Scope

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
  • Pricing Model
  • Deployment type
  • End-user
  • Region
Regions Covered
  • North America
  • Latin America
  • Europe
  • The Asia Pacific
  • The Middle East and Africa
Key Countries Profiled
  • The USA
  • Canada
  • Brazil
  • Mexico
  • Germany
  • The UK
  • France
  • Spain
  • Italy
  • China
  • Japan
  • South Korea
  • Malaysia
  • Singapore
  • Australia
  • New Zealand
  • GCC
  • South Africa
  • Israel
Key Companies Profiled
  • Microsoft Corporation
  • Google Inc.
  • Amazon Web Services
  • HP Enterprise Services (HP Enterprise strategic business unit)
  • IBM Corporation
  • Oracle Corporation
  • EMC Corporation
  • SAP SE
  • SAS Institute, Inc.
  • Teradata Corporation.

Key Segments Covered in the Data as a Service (DaaS) Industry Analysis

Data as a Service (DaaS) Market by Pricing Model:

  • Volume-based model
  • Data type-based model
  • Quantity-based pricing
  • Pay-as-per-use

Data as a Service (DaaS) Market by Deployment Type:

  • Public cloud
  • Private Cloud
  • Hybrid cloud

Data as a Service (DaaS) Market by End User:

  • SMEs
  • Large enterprises

Data as a Service (DaaS) Market by Region:

  • North America Data as a Service (DaaS) Market
  • Latin America Data as a Service (DaaS) Market
  • Europe Data as a Service (DaaS) Market
  • Asia Pacific Data as a Service (DaaS) Market
  • The Middle East & Africa Data as a Service (DaaS) Market

Frequently Asked Questions

How Big is the DaaS Market?

The market is valued at US$ 10,429.0 million in 2023.

What is the Trend in the DaaS Industry?

Cloud-based infrastructure and services, enterprise data syndication, and consumer services trends focused on XaaS are gaining popularity.

What Hinders the Growth in the Data as a Service (DAAS) Market?

Increasing adoption of dedicated databases is expected to hinder market growth.

What is North America’s Position in the Data as a Service (DAAS) Market?

North America holds a significant market share in the Data as a Service (DAAS) market. It had a 32.6% share in 2022.

By End-user type, Which Data as a Service (DAAS) Category Will Remain Prominent?

Based on the end-user type segment, the small & medium enterprises segment captures the highest market share volume in the global data.

Table of Content

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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