Data Mesh Market Share, Size, Trends, Industry Analysis Report, By Offering; By Business Function; By Approach; By Application; By Vertical; By Region; Segment Forecast, 2024 - 2032
The data mesh market size is expected to reach USD 3.94 Billion by 2032, according to a new study by Polaris Market Research. The report “Data Mesh Market Share, Size, Trends, Industry Analysis Report, By Offering; By Business Function; By Approach; By Application; By Vertical; By Region; Segment Forecast, 2024 - 2032” gives a detailed insight into current market dynamics and provides analysis on future market growth.
The adoption of Data Mesh principles has emerged as a transformative framework in the rapidly changing landscape of data management in the Data Mesh market. Data Mesh market development is a new approach to organizing and scaling data infrastructure that emphasizes decentralized ownership and domain-driven data architecture. This paradigm shift recognizes the challenges that traditional, centralized data architectures present and seeks to address them using the principles of domain-oriented decentralized data ownership, data as a product, and self-service data infrastructure.
The effective implementation of a data mesh architecture is heavily dependent on the invaluable assistance of expert consulting and advisory services. These services include strategic planning, feasibility studies, and the creation of a custom roadmap tailored to an organization's specific context. Specialized professional services in data governance and security are critical in developing strong policies and structures. These measures are intended to ensure data security while adhering to regulatory standards. Identity management, access controls, auditing, compliance checks, and measures to protect data privacy and ethical usage standards are all critical components.
A typical data mesh market solution includes a powerful data catalog system that enhances discoverability and enables efficient data delivery across decentralized domains. This catalog is a comprehensive inventory of available data assets, including metadata, ownership details, and data lineage information. Any data mesh solution must have secure, scalable, and resilient storage and security solutions as its foundation. These systems ensure that data is available, reliable, and protected from breaches or loss.
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In the ever-changing landscape of data mesh architecture, federated computational governance is an important consideration, indicating a transformative shift in how organizations manage and regulate their distributed data. In contrast to a centralized approach, this approach advocates for a decentralized model in which governance is distributed across various data domains and specialized areas within the organization. The federated computational governance framework aims to improve collaboration and decision-making while maintaining security, compliance, and quality standards across interconnected data domains.
Data Mesh Market Report Highlights
The data integration and delivery segment accounted for the largest market share in 2023. Companies are increasingly adopting decentralized architectures, in which data is treated as a product and managed by teams in specific domains.
The managed services segment witnessed the fastest growth in 2023. As companies are increasingly adopting decentralized data architectures, the demand for data mesh principles has increased.
Asia-Pacific has witnessed the fastest growth in the market in 2023, as the companies in the region are adopting data mesh principles in large numbers to navigate the complex data ecosystem.
The key market players include Amazon Web Services (AWS), Denodo, Global IDs, Google, Hewlett Packard Enterprise (HPE), IBM, Informatica, K2view, Microsoft, Monte Carlo, NetApp Oracle, Radiant Logic, SAP, Snowflake, Talend, and Teradata.
Polaris Market Research has segmented the data mesh market report based on offering, business function, approach, application, vertical, and country:
Data Mesh, Offering Outlook (Revenue - USD Billion, 2019 - 2032)
Solution
- Data Integration and Delivery
ETL (Extract, Transform, Load)
Data Pipeline and Workflow Management
Data Mapping and Transformation
- Federated Data Governance
Metadata Management
Data Quality and Security
Compliance and Regulatory Tools
Monitoring and Observability
Data Cataloging and Discovery
Data Lifecycle Management
- Data Transformation and Orchestration
Schema Evolution
Data Orchestration and Synchronization Platforms
Solutions by Deployment Mode
Services
Consulting and Implementation
Support and Maintenance
Training and Education
Advisory and Strategy
Implementation and Deployment
Governance and Security
Data Mesh, Business Function Outlook (Revenue - USD Billion, 2019 - 2032)
Finance & Accounting
Sales & Marketing
Research & Development
Operations & Supply Chain
HR
ITSM
Data Mesh, Approach Outlook (Revenue - USD Billion, 2019 - 2032)
Fine-grained
- Fully Federated Mesh
- Fully Governed Mesh
Hybrid federated mesh
Value chain-aligned mesh
Coarse-grained
- Aligned Mesh
- Governed Mesh
Data Mesh, Application Outlook (Revenue - USD Billion, 2019 - 2032)
Customer Experience Management
Data Privacy Management
Chatbots/ Virtual Assistants
Campaign Management
IoT Monitoring
Other Applications
Data Mesh, Vertical Outlook (Revenue - USD Billion, 2019 - 2032)
BFSI
Healthcare & Life Sciences
Telecom
Retail & E-Commerce
Government & Public Sector
Energy & Utilities
IT/ITeS
Transportation & Logistics
Manufacturing
Other Vertical
Data Mesh, Regional Outlook (Revenue - USD Billion, 2019 - 2032)
North America
Europe
- Germany
- UK
- France
- Italy
- Spain
- Russia
- Netherlands
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Indonesia
- Australia
- Malaysia
- Rest of Asia Pacific
Latin America
- Argentina
- Brazil
- Mexico
- Rest of Latin America
Middle East & Africa
- UAE
- Saudi Arabia
- Israel
- South Africa
- Rest of Middle East & Africa