DataOps Platform Market Outlook from 2024 to 2034

The global DataOps platform market size is estimated to reach US$ 4.0 billion in 2024. A CAGR of 23.3% is expected from the market in the forecast period 2024 to 2034. The market is projected to attain a valuation of US$ 32.7 billion by 2034.

Key DataOps Platform Market Trends

  • The development of DataOps as a Service line is rising as companies are looking to streamline data management and adopt cloud-based tools without investing in external infrastructure.
  • The integration of DataOps solutions with MLOps and DevOps technologies is expected to result in the creation of end-to-end processes.
  • Companies are investing in the development of novel data integration platforms aiming to address the challenges of specific industries, such as manufacturing, finance, and healthcare.
  • Companies are offering novel DataOps solutions equipped with features such as data lineage tracking and strong governance to ensure regulatory adherence & high data quality.
  • The evolution of DataOps platforms is anticipated amid the surging adoption of edge computing, thereby enabling real-time decision-making and insights in collaborative spaces.
Attributes Key Insights
DataOps Platform Market Estimated Size (2024E) US$ 4.0 billion
Projected DataOps Platform Market Valuation (2034F) US$ 32.7 billion
Value-based DataOps Platform Market CAGR (2024 to 2034) 23.3%

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Significant Drivers in the Global DataOps Platform Market Research Report

  • Rising demand for real-time data analytics and processing solutions
  • High complexity of data integration and environment challenges
  • Increasing demand for data reliability and quality assurance in quick decision-making processes
  • Increasing awareness of data pipeline orchestration tools in enhancing the company’s agility and operational efficiency
  • Growing demand for agile data management solutions among organizations with ongoing expansion of hybrid cloud and cloud computing solutions

2019 to 2023 DataOps Platform Market Growth Outlook Vs. 2024 to 2034 Forecast

The global DataOps platform market exhibited a CAGR of about 27.8% in the historical period. It is estimated to showcase a 23.3% CAGR in the forecast period. The market attained a valuation of US$ 3.2 billion in 2023.

Historical CAGR (2019 to 2023) 27.8%
Historical Valuation (2023) US$ 3.2 billion

Companies often relied on conventional data management solutions in the past. These mainly revolved around siloed approaches to data analysis, processing, and storage. These solutions lacked scalability, were time-consuming, and were manual.

The need for a more collaborative and superior software solution deployment & development process emerged in the early 2000s. This gave rise to the DevOps movement for the continuous integration of data and automation.

Data quality management in DataOps began to gain momentum in the mid-2010s when companies started following the principles of DevOps. The new platform helped with the application of automated, collaborative, and agile practices to data storage & management processes. This further enabled companies to prevent issues such as low-quality data, slow time-to-insights, and data silos.

Sudip Saha
Sudip Saha

Principal Consultant

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Semi-annual DataOps Platform Market Analysis

The table provides information about significant variations in growth rates and dynamic trends in the DataOps platform market. Readers can gain insights into changing consumer tastes and evolving market dynamics throughout an array of different periods. The table offers an explanation of growth potential, scrutinizing the role that actual numbers and predictions have in determining the future path of the market.

Details CAGR
H1 (2023 to 2033) 22.8%
H2 (2023 to 2033) 23.1%
H1 (2024 to 2034) 23.7%
H2 (2024 to 2034) 23.2%

Country-wise Insights

The section below highlights the CAGRs of the leading countries in the DataOps platform market. The three main countries pushing DataOps platform demand include Japan, the United Kingdom, and China.

According to the analysis, Japan is set to lead the DataOps platform market by showcasing a CAGR of 24.4% in the forecast period. The country is anticipated to be followed by the United Kingdom and China, with CAGRs of 24.2% and 23.9%, respectively.

Countries CAGR (2024 to 2034)
United States 23.5%
United Kingdom 24.2%
China 23.9%
Japan 24.4%
South Korea 23.8%

Japan-based Firms Use DataOps Tools to Ensure Smooth Data Management

Japan’s DataOps platform market is expected to rise at a CAGR of 24.4% from 2024 to 2034. The country is projected to reach a valuation of around US$ 3.4 billion by 2034. Factors pushing growth in Japan are:

  • Japan-based companies are facing issues with the extraction and management of data from several data sets. This is leading to the increasing use of data pipeline orchestration tools to ensure data reliability, handle complicated environments, and manage data smoothly.
  • Digital transformation across several industries in Japan is projected to push the demand for DataOps platforms to facilitate decision-making, boost time-to-insights, and propel agile developments.
  • The high demand for AI-driven insights and advanced analytics in Japan is set to drive the need for DataOps platforms to offer the functionalities necessary for unique model deployment, data analytics, and processing.
  • Japan-based firms are likely to focus on productivity and efficiency enhancements, which are anticipated to accelerate DataOps platform demand to maximize collaborations and automate manual operations.

Data Governance in DataOps Helps the United Kingdom Fight Cyberattacks

The United Kingdom is anticipated to attain a value of about US$ 1.3 billion by 2034. The country is likely to expand at a CAGR of 24.2% in the assessment period. Key factors driving the growth of the DataOps platform market in the country are:

  • Companies headquartered in the United Kingdom are striving to support quick decision-making, improve agility, and enhance data management solutions. Hence, they are looking for DataOps platforms to move smoothly through post-Brexit challenges.
  • Increasing concerns related to data compliance and sovereignty amid norms, including the General Data Protection Regulation (GDPR), are expected to push companies in the United Kingdom to invest in DataOps platforms to comply with these norms.
  • Ongoing innovations in InsurTech and FinTech across the United Kingdom are projected to support the adoption of DataOps platforms to improve customer experiences, enhance risk management, and optimize data processes.
  • The high frequency of cyberattacks in the United Kingdom has led to the surging demand for DataOps platforms. These are projected to be utilized to help companies strengthen their data systems.

China Adopts Cloud-based DataOps Platforms with High Government Funds

China’s DataOps platform market is expected to showcase a CAGR of 23.9% through 2034. A value of US$ 5.1 billion is anticipated for China by 2034. Demand for DataOps platforms in the country is projected to be augmented by:

  • Sales of DataOps platforms are anticipated to surge amid rising government investments in advanced technologies. The government’s funds are expected to lead to the development of data analytics and infrastructure capabilities, thereby driving the need for DataOps platforms.
  • With the presence of a well-established technology industry, China is anticipated to augment the start-up ecosystem. These start-ups are set to require novel data analytics and management functionalities to gain a competitive edge.
  • China-based firms are aiming to expand their presence by opening new hubs outside of the country. Innovative DataOps platforms are expected to help them evaluate and manage information across several departments and regions.
  • The growing adoption of machine learning and AI technologies in China is projected to drive the demand for advanced data management features, thereby pushing the requirement for DataOps platforms.

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Category-wise Insights

The below section shows the global trends in the DataOps platform industry in terms of type and components. The agile development segment is expected to lead the DataOps platform market based on type.

It is set to showcase a CAGR of around 23.1% from 2024 to 2034. Based on the component, the platform segment is anticipated to exhibit a dominant CAGR of 22.8% through 2034.

Segment Value CAGR (2024 to 2034)
Platform (Component) 22.8%
Agile Development (Type) 23.1%

Data Collaboration Platforms to Gain Impetus by 2034 Compared to Services

In terms of components, the platform segment is projected to showcase a CAGR of around 22.8% from 2024 to 2034. The segment is expected to generate a significant DataOps platform market share due to the following factors:

  • As compared to data orchestration services, DataOps platforms offer standardized workflows, processes, and tools to help ensure repeatability and consistency in data operations.
  • DataOps platforms provide pay-as-you-go pricing and subscription models, thereby reducing the requirement for high investments in maintaining and constructing customized solutions.
  • The ability of DataOps platforms to integrate with new technologies, tools, and data points is expected to help companies fulfill their data analytics and management needs.
  • Companies are using DataOps platforms to help comply with government norms in terms of data compliance, security, and governance.

Data Orchestration Tools to Find Extensive Usage in Agile Data Operations

Based on type, the agile development category is anticipated to rise at a CAGR of 23.1% in the forecast period in the DataOps platform industry. This growth is attributed to the following factors:

  • DataOps platforms are set to be used to initiate partnerships between significant stakeholders, analysts, and data engineers to promote agility & teamwork.
  • The ability of novel DataOps platforms to allow for the continuous integration and deployment (CI/CD) of analytics and data pipeline applications is expected to push their adoption.
  • Data operation platforms are projected to be utilized among teams to help them work efficiently and autonomously, thereby reducing bottlenecks and dependencies in the data pipeline.
  • The ability of DataOps platforms to optimize data deployment, processing, and integration for initiating the quick delivery of real-time solutions is anticipated to drive demand.

Competitive Landscape

Leading companies in the DataOps platform market are focusing on the constant innovation of their in-house platforms to provide new features, including high data volume management, automated workflows, real-time monitoring, machine learning capabilities, and AI tools.

They are also engaging in collaborations with consulting firms and technology providers to provide customized solutions & help clients use complementary technologies. At the same time, they are focusing on offering smooth troubleshooting, customization, and onboarding processes to clients by investing in customer support.

For instance

  • In December 2023, Translab Technologies Pvt Ltd, a Bengaluru-based software company, unveiled its Tantor Data Platform. The company aims to transform the way firms evolve, manage, and use data.
  • In September 2023, the Big Data London conference witnessed the launch of ‘Data Products for Dummies,’ a new book by DataOps.live. The book is expected to be the go-to resource for those looking to expand the value of their data assets, both personally and professionally.
  • In June 2023, DataOps.live introduced its latest DataOps platform. The DataOps.live platform is uniquely positioned to offer observability throughout the duration of a data product's lifespan.

Key Companies Profiled in the DataOps Platform Market

  • Microsoft
  • IBM
  • Oracle
  • AWS
  • Informatica
  • Teradata
  • Wipro

DataOps Platform Market Outlook by Category

By Type:

  • Agile Development
  • DevOps
  • Lean Manufacturing

By Component:

  • Platform
  • Services

By Application:

  • Cloud
  • On-premises

By Region:

  • North America
  • Latin America
  • Western Europe
  • Eastern Europe
  • South Asia and Pacific
  • East Asia
  • Middle East and Africa

Frequently Asked Questions

How big is the DataOps platform market?

The DataOps platform market is set to reach US$ 32.7 billion by 2034.

What is a DataOps platform?

Data teams employ a single command center called a DataOps platform to coordinate data pipelines.

What is DataOps vs DevOps?

Product development is the primary focus of DevOps, but DataOps aim to shorten the time between data requirement and data success.

What are the two main roles of tests in DataOps?

Automated deployment and validation are the two key roles of tests in DataOps.

At what CAGR is the DataOps platform market expected to rise?

The DataOps platform market is set to rise at a 23.3% CAGR from 2024 to 2034.

What would be the DataOps platform market value by 2024?

The DataOps platform market is anticipated to reach US$ 4.0 billion by 2024.

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 2019 to 2023 and Forecast, 2024 to 2034
    4.1. Historical Market Size Value (US$ billion) Analysis, 2019 to 2023
    4.2. Current and Future Market Size Value (US$ billion) Projections, 2024 to 2034
        4.2.1. Y-o-Y Growth Trend Analysis
        4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Type
    5.1. Introduction / Key Findings
    5.2. Historical Market Size Value (US$ billion) Analysis By Type, 2019 to 2023
    5.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Type, 2024 to 2034
        5.3.1. Agile Development
        5.3.2. DevOps
        5.3.3. Lean Manufacturing
    5.4. Y-o-Y Growth Trend Analysis By Type, 2019 to 2023
    5.5. Absolute $ Opportunity Analysis By Type, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Component
    6.1. Introduction / Key Findings
    6.2. Historical Market Size Value (US$ billion) Analysis By Component, 2019 to 2023
    6.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Component, 2024 to 2034
        6.3.1. Platform
        6.3.2. Services
    6.4. Y-o-Y Growth Trend Analysis By Component, 2019 to 2023
    6.5. Absolute $ Opportunity Analysis By Component, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Application
    7.1. Introduction / Key Findings
    7.2. Historical Market Size Value (US$ billion) Analysis By Application, 2019 to 2023
    7.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Application, 2024 to 2034
        7.3.1. Cloud
        7.3.2. On-premises
    7.4. Y-o-Y Growth Trend Analysis By Application, 2019 to 2023
    7.5. Absolute $ Opportunity Analysis By Application, 2024 to 2034
8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
    8.1. Introduction
    8.2. Historical Market Size Value (US$ billion) Analysis By Region, 2019 to 2023
    8.3. Current Market Size Value (US$ billion) Analysis and Forecast By Region, 2024 to 2034
        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 2019 to 2023 and Forecast 2024 to 2034, By Country
    9.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2019 to 2023
    9.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2024 to 2034
        9.2.1. By Country
            9.2.1.1. United States
            9.2.1.2. Canada
        9.2.2. By Type
        9.2.3. By Component
        9.2.4. By Application
    9.3. Market Attractiveness Analysis
        9.3.1. By Country
        9.3.2. By Type
        9.3.3. By Component
        9.3.4. By Application
    9.4. Key Takeaways
10. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
    10.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2019 to 2023
    10.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2024 to 2034
        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 Type
        10.2.3. By Component
        10.2.4. By Application
    10.3. Market Attractiveness Analysis
        10.3.1. By Country
        10.3.2. By Type
        10.3.3. By Component
        10.3.4. By Application
    10.4. Key Takeaways
11. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
    11.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2019 to 2023
    11.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2024 to 2034
        11.2.1. By Country
            11.2.1.1. Germany
            11.2.1.2. United Kingdom
            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 Type
        11.2.3. By Component
        11.2.4. By Application
    11.3. Market Attractiveness Analysis
        11.3.1. By Country
        11.3.2. By Type
        11.3.3. By Component
        11.3.4. By Application
    11.4. Key Takeaways
12. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
    12.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2019 to 2023
    12.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2024 to 2034
        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 Type
        12.2.3. By Component
        12.2.4. By Application
    12.3. Market Attractiveness Analysis
        12.3.1. By Country
        12.3.2. By Type
        12.3.3. By Component
        12.3.4. By Application
    12.4. Key Takeaways
13. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
    13.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2019 to 2023
    13.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2024 to 2034
        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 Type
        13.2.3. By Component
        13.2.4. By Application
    13.3. Market Attractiveness Analysis
        13.3.1. By Country
        13.3.2. By Type
        13.3.3. By Component
        13.3.4. By Application
    13.4. Key Takeaways
14. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
    14.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2019 to 2023
    14.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2024 to 2034
        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 Type
        14.2.3. By Component
        14.2.4. By Application
    14.3. Market Attractiveness Analysis
        14.3.1. By Country
        14.3.2. By Type
        14.3.3. By Component
        14.3.4. By Application
    14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
    15.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2019 to 2023
    15.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2024 to 2034
        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 Middle East & Africa
        15.2.2. By Type
        15.2.3. By Component
        15.2.4. By Application
    15.3. Market Attractiveness Analysis
        15.3.1. By Country
        15.3.2. By Type
        15.3.3. By Component
        15.3.4. By Application
    15.4. Key Takeaways
16. Key Countries Market Analysis
    16.1. United States
        16.1.1. Pricing Analysis
        16.1.2. Market Share Analysis, 2023
            16.1.2.1. By Type
            16.1.2.2. By Component
            16.1.2.3. By Application
    16.2. Canada
        16.2.1. Pricing Analysis
        16.2.2. Market Share Analysis, 2023
            16.2.2.1. By Type
            16.2.2.2. By Component
            16.2.2.3. By Application
    16.3. Brazil
        16.3.1. Pricing Analysis
        16.3.2. Market Share Analysis, 2023
            16.3.2.1. By Type
            16.3.2.2. By Component
            16.3.2.3. By Application
    16.4. Mexico
        16.4.1. Pricing Analysis
        16.4.2. Market Share Analysis, 2023
            16.4.2.1. By Type
            16.4.2.2. By Component
            16.4.2.3. By Application
    16.5. Germany
        16.5.1. Pricing Analysis
        16.5.2. Market Share Analysis, 2023
            16.5.2.1. By Type
            16.5.2.2. By Component
            16.5.2.3. By Application
    16.6. United Kingdom
        16.6.1. Pricing Analysis
        16.6.2. Market Share Analysis, 2023
            16.6.2.1. By Type
            16.6.2.2. By Component
            16.6.2.3. By Application
    16.7. France
        16.7.1. Pricing Analysis
        16.7.2. Market Share Analysis, 2023
            16.7.2.1. By Type
            16.7.2.2. By Component
            16.7.2.3. By Application
    16.8. Spain
        16.8.1. Pricing Analysis
        16.8.2. Market Share Analysis, 2023
            16.8.2.1. By Type
            16.8.2.2. By Component
            16.8.2.3. By Application
    16.9. Italy
        16.9.1. Pricing Analysis
        16.9.2. Market Share Analysis, 2023
            16.9.2.1. By Type
            16.9.2.2. By Component
            16.9.2.3. By Application
    16.10. Poland
        16.10.1. Pricing Analysis
        16.10.2. Market Share Analysis, 2023
            16.10.2.1. By Type
            16.10.2.2. By Component
            16.10.2.3. By Application
    16.11. Russia
        16.11.1. Pricing Analysis
        16.11.2. Market Share Analysis, 2023
            16.11.2.1. By Type
            16.11.2.2. By Component
            16.11.2.3. By Application
    16.12. Czech Republic
        16.12.1. Pricing Analysis
        16.12.2. Market Share Analysis, 2023
            16.12.2.1. By Type
            16.12.2.2. By Component
            16.12.2.3. By Application
    16.13. Romania
        16.13.1. Pricing Analysis
        16.13.2. Market Share Analysis, 2023
            16.13.2.1. By Type
            16.13.2.2. By Component
            16.13.2.3. By Application
    16.14. India
        16.14.1. Pricing Analysis
        16.14.2. Market Share Analysis, 2023
            16.14.2.1. By Type
            16.14.2.2. By Component
            16.14.2.3. By Application
    16.15. Bangladesh
        16.15.1. Pricing Analysis
        16.15.2. Market Share Analysis, 2023
            16.15.2.1. By Type
            16.15.2.2. By Component
            16.15.2.3. By Application
    16.16. Australia
        16.16.1. Pricing Analysis
        16.16.2. Market Share Analysis, 2023
            16.16.2.1. By Type
            16.16.2.2. By Component
            16.16.2.3. By Application
    16.17. New Zealand
        16.17.1. Pricing Analysis
        16.17.2. Market Share Analysis, 2023
            16.17.2.1. By Type
            16.17.2.2. By Component
            16.17.2.3. By Application
    16.18. China
        16.18.1. Pricing Analysis
        16.18.2. Market Share Analysis, 2023
            16.18.2.1. By Type
            16.18.2.2. By Component
            16.18.2.3. By Application
    16.19. Japan
        16.19.1. Pricing Analysis
        16.19.2. Market Share Analysis, 2023
            16.19.2.1. By Type
            16.19.2.2. By Component
            16.19.2.3. By Application
    16.20. South Korea
        16.20.1. Pricing Analysis
        16.20.2. Market Share Analysis, 2023
            16.20.2.1. By Type
            16.20.2.2. By Component
            16.20.2.3. By Application
    16.21. GCC Countries
        16.21.1. Pricing Analysis
        16.21.2. Market Share Analysis, 2023
            16.21.2.1. By Type
            16.21.2.2. By Component
            16.21.2.3. By Application
    16.22. South Africa
        16.22.1. Pricing Analysis
        16.22.2. Market Share Analysis, 2023
            16.22.2.1. By Type
            16.22.2.2. By Component
            16.22.2.3. By Application
    16.23. Israel
        16.23.1. Pricing Analysis
        16.23.2. Market Share Analysis, 2023
            16.23.2.1. By Type
            16.23.2.2. By Component
            16.23.2.3. By Application
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 Type
        17.3.3. By Component
        17.3.4. By Application
18. Competition Analysis
    18.1. Competition Deep Dive
        18.1.1. Microsoft
            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. IBM
            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. Oracle
            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. AWS
            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. Informatica
            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. Teradata
            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. Wipro
            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. Accenture
            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
            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. Hitachi Vantara
            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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