The South & Central America data mesh market was valued at US$ 48.97 million in 2023 and is expected to reach US$ 131.33 million by 2031; it is estimated to register a CAGR of 13.1% from 2023 to 2031.
DODA enables domain teams to assume complete responsibility for their data, including collection, storage, processing, and sharing, bringing data management closer to domain expertise. This framework also allows business domains to view their data as a product. This approach encourages teams to prioritize data quality, usability, and value for consumers, which increases the adoption among data scientists and engineers to improve the quality, relevance, and usability of data products by saving time. For instance, the adoption of DODA supports e-commerce companies to appropriately manage daily tasks such as customer management, inventory, orders, and marketing. This allows e-commerce companies to build autonomous units capable of managing their data. Following are the implementations and use cases of DODA:
Security Aspects - Security in a DODA system requires consideration at the domain and centralized levels. This includes establishing access rules, guaranteeing data privacy, preserving data lineage, and implementing encryption and other security best practices. Implementing a data lakehouse environment can improve security by centralizing some parts of data security and management while allowing individual domains to control their data effectively.
Performance - The DODA system increases performance by dispersing workloads across several domains and exploiting domain-specific team experience. However, performance improvement may necessitate careful coordination to ensure that data pipelines and processing activities do not overlap or clash. Integrating DODA with a data lakehouse might assist potential performance bottlenecks by centralizing data management functions, such as metadata and schema management.
Significant benefits provided by DODA to businesses, such as fostering collaboration among teams and domains, maintaining decentralized control of complex data, allowing seamless data sharing, and establishing and maintaining common data standards and practices across domains, are expected to boost the market during the forecast period.
Furthermore, Oracle is actively collaborating with organizations across Brazil to facilitate their secure migration to the cloud, ensuring compliance with data sovereignty regulations. This strategic move by Oracle reflects the evolving landscape of data management and cloud adoption in Brazil, including the integration of data mesh principles within the country's technological ecosystem.
Based on solution, the South & Central America data mesh market is segmented into data integration and delivery, federated data governance, data operations, data transformation and orchestration, and others. The data integration and delivery segment held the largest market share in 2023.
In terms of deployment, the South & Central America data mesh market is bifurcated into on-premise and cloud. The cloud segment held a larger market share in 2023.
By application, the South & Central America data mesh market is segmented into customer experience engagement, data privacy management, IOT monitoring, and others. The data privacy management segment held the largest market share in 2023.
By industry vertical, the South & Central America data mesh market is segmented into BFSI, retail and e-commerce, IT and telecom, healthcare, government and utilities, and others. The BFSI segment held the largest market share in 2023.
By country, the South & Central America data mesh market is segmented into Brazil, Argentina, and the Rest of South & Central America. Brazil dominated the South & Central America data mesh market share in 2023.
Microsoft Corp; Alphabet Inc; Oracle Corp; International Business Machines Corp; Amazon.com Inc; QlikTech International AB; Confluent Inc; Hitachi Vantara Corp; Dremio Corp; SAP SE; Snowflake Inc; K2view Ltd; Denodo Technologies, Inc; Informatica Corp; Estuary Technologies, Inc.; Databricks Inc; Cisco Systems Inc; TIBCO Software Inc.; Autodesk Inc; and Adobe Inc are some of the leading companies operating in the South & Central America data mesh market.
Demand for Domain-Oriented Data Architecture Fuels South & Central America Data Mesh Market
Domain-oriented data architecture (DODA) is an architectural strategy that organizes data around business domains rather than traditional functions, and it acknowledges each business domain with its distinct data demands, requirements, and characteristics. DODA organizes data around domains, allowing domain teams to own and manage their data, making them more flexible and responsive to changing business needs. This strategy better aligns data management with the unique needs and functions of the company.DODA enables domain teams to assume complete responsibility for their data, including collection, storage, processing, and sharing, bringing data management closer to domain expertise. This framework also allows business domains to view their data as a product. This approach encourages teams to prioritize data quality, usability, and value for consumers, which increases the adoption among data scientists and engineers to improve the quality, relevance, and usability of data products by saving time. For instance, the adoption of DODA supports e-commerce companies to appropriately manage daily tasks such as customer management, inventory, orders, and marketing. This allows e-commerce companies to build autonomous units capable of managing their data. Following are the implementations and use cases of DODA:
Security Aspects - Security in a DODA system requires consideration at the domain and centralized levels. This includes establishing access rules, guaranteeing data privacy, preserving data lineage, and implementing encryption and other security best practices. Implementing a data lakehouse environment can improve security by centralizing some parts of data security and management while allowing individual domains to control their data effectively.
Performance - The DODA system increases performance by dispersing workloads across several domains and exploiting domain-specific team experience. However, performance improvement may necessitate careful coordination to ensure that data pipelines and processing activities do not overlap or clash. Integrating DODA with a data lakehouse might assist potential performance bottlenecks by centralizing data management functions, such as metadata and schema management.
Significant benefits provided by DODA to businesses, such as fostering collaboration among teams and domains, maintaining decentralized control of complex data, allowing seamless data sharing, and establishing and maintaining common data standards and practices across domains, are expected to boost the market during the forecast period.
South & Central America Data Mesh Market Overview
In response to the growing need for cloud services in Brazil, Oracle has revealed the establishment of the Vinhedo Cloud region in 2021, aimed at meeting the escalating demand from customers. This initiative underscores the company's dedication to supporting the digital transformation endeavors in Brazil, which was expedited by the COVID-19 pandemic.Furthermore, Oracle is actively collaborating with organizations across Brazil to facilitate their secure migration to the cloud, ensuring compliance with data sovereignty regulations. This strategic move by Oracle reflects the evolving landscape of data management and cloud adoption in Brazil, including the integration of data mesh principles within the country's technological ecosystem.
South & Central America Data Mesh Market Revenue and Forecast to 2031 (US$ Million)
South & Central America Data Mesh Market Segmentation
The South & Central America data mesh market is categorized into solution, deployment, application, industry vertical, and country.Based on solution, the South & Central America data mesh market is segmented into data integration and delivery, federated data governance, data operations, data transformation and orchestration, and others. The data integration and delivery segment held the largest market share in 2023.
In terms of deployment, the South & Central America data mesh market is bifurcated into on-premise and cloud. The cloud segment held a larger market share in 2023.
By application, the South & Central America data mesh market is segmented into customer experience engagement, data privacy management, IOT monitoring, and others. The data privacy management segment held the largest market share in 2023.
By industry vertical, the South & Central America data mesh market is segmented into BFSI, retail and e-commerce, IT and telecom, healthcare, government and utilities, and others. The BFSI segment held the largest market share in 2023.
By country, the South & Central America data mesh market is segmented into Brazil, Argentina, and the Rest of South & Central America. Brazil dominated the South & Central America data mesh market share in 2023.
Microsoft Corp; Alphabet Inc; Oracle Corp; International Business Machines Corp; Amazon.com Inc; QlikTech International AB; Confluent Inc; Hitachi Vantara Corp; Dremio Corp; SAP SE; Snowflake Inc; K2view Ltd; Denodo Technologies, Inc; Informatica Corp; Estuary Technologies, Inc.; Databricks Inc; Cisco Systems Inc; TIBCO Software Inc.; Autodesk Inc; and Adobe Inc are some of the leading companies operating in the South & Central America data mesh market.
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- Scrutinize in-depth South & Central America market trends and outlook coupled with the factors driving the South & Central America data mesh market, as well as those hindering it.
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Table of Contents
1. Introduction
2. Executive Summary
3. Research Methodology
4. South & Central America Data Mesh Market Landscape
5. South & Central America Data Mesh Market - Key Market Dynamics
6. Data Mesh Market - South & Central America Analysis
7. South & Central America Data Mesh Market Analysis - by Solution
8. South & Central America Data Mesh Market Analysis - by Deployment
9. South & Central America Data Mesh Market Analysis - by Application
10. South & Central America Data Mesh Market Analysis - by Industry Vertical
11. South & Central America Data Mesh Market - Country Analysis
12. Competitive Landscape
13. Industry Landscape
14. Company Profiles
15. Appendix
LIST OF TABLES
LIST OF FIGURES
Companies Mentioned
Some of the leading companies in the South & Central America Data Mesh Market include:- Microsoft Corp
- Alphabet Inc
- Oracle Corp
- International Business Machines Corp
- Amazon.com Inc
- QlikTech International AB
- Confluent Inc
- Hitachi Vantara Corp
- Dremio Corp
- SAP SE
- Snowflake Inc
- K2view Ltd
- Denodo Technologies, Inc
- Informatica Corp
- Estuary Technologies, Inc.
- Databricks Inc
- Cisco Systems Inc
- TIBCO Software Inc.
- Autodesk Inc
- Adobe Inc
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 151 |
Published | February 2025 |
Forecast Period | 2023 - 2031 |
Estimated Market Value in 2023 | 48.97 Million |
Forecasted Market Value by 2031 | 131.33 Million |
Compound Annual Growth Rate | 13.1% |
No. of Companies Mentioned | 21 |