The global data mesh market is projected to register a CAGR of 16.4% during the forecast period, reaching USD 2.5 billion by 2028 from an estimated USD 1.2 billion in 2023. Major factors to boost the market growth include the increasing need for data democratization and accessibility, tailored data pipelines driving agility and innovation, increasing adoption of cloud native technologies, and maintaining robust governance and security.
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By solution, Data Integration and Delivery segment to register for the largest market size during the forecast period.
By solutions, data integration and delivery segment is expected to register the largest market size during the forecast period. Companies are increasingly embracing decentralized architectures, where data is treated as a product and managed by domain-specific teams. This shift has spurred the demand for tools and platforms that support seamless integration, governance, and delivery of data across diverse domains. Latest trends indicate a focus on scalable and self-serve data infrastructure, enabling teams to access and utilize data more efficiently.
By services, managed services to register for the highest CAGR during the forecast period.
The services segment of the data mesh market is growing rapidly. The managed services are vital in properly functioning data mesh solutions. The data mesh industry is experiencing a growing demand for managed services. As organizations increasingly adopt decentralized data architectures, the demand for managed services tailored to data mesh principles has surged. Managed services providers are now offering specialized solutions focusing on enabling, maintaining, and optimizing data mesh environments.
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Unique Features in the Data Mesh Market
When ownership of data domains is delegated to specific domain teams or business units, Data Mesh fosters decentralised data ownership. This method instills a sense of ownership and accountability by enabling domain experts to manage and oversee their data.
Instead of using centralised data models, Data Mesh uses a domain-oriented architecture, where data is managed and organised according to business domains. Greater adaptability, speed, and scalability in managing varied data sets across several domains are made possible by this.
Domain-driven design, autonomy, data as a product, and federated governance are some of the guiding concepts of Data Mesh. These guidelines stress the significance of empowering domain teams, creating transparent governance structures, and matching data architecture with business goals.
Domain data platforms, also known as data products, are independent components that are in charge of handling data inside particular domains and make up data mesh architecture. These systems give domain teams the resources and abilities they need to autonomously ingest, store, process, and analyse data.
Federated governance is the model used by Data Mesh, in which domain teams and centralised governance functions share governance duties. This guarantees overall consistency and compliance while ensuring that data governance policies are in line with the particular requirements and context of each domain.
Major Highlights of the Data Mesh Market
In order to develop accountability and alignment with company objectives, Data Mesh facilitates decentralised data ownership by giving domain experts the authority to administer and regulate their data.
Greater flexibility, agility, and scalability are made possible by Data Mesh’s domain-oriented design, which organises data based on business domains rather than centralised models.
Data Mesh uses a federated governance model, which divides governance duties across centralised services and domain teams in order to maintain general compliance and consistency and to guarantee alignment with particular domain requirements.
In order to manage data mesh infrastructure and data products, Data Mesh integrates MeshOps techniques. This allows for streamlined data lifecycle management from ingestion to consumption when combined with DataOps.
By dispersing processing and storage across domain platforms, data mesh architectures are built for scalability and robustness, enabling enterprises to handle massive volumes of data and adjust to changing business requirements.
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Top Key Companies in the Data Mesh Market
Some leading players in the data mesh market include IBM (US), AWS (US), SAP (Germany), Oracle (US), Informatica (US), K2view (US), Talend (US), Denodo (US), HPE (US), NetApp (US), Teradata (US), Monte Carlo (US), Radiant Logic (US), Snowflake (US), Google (US), Microsoft (US), Global IDs (US), Estuary (US), DataKitchen (US), Databricks (US), Cinchy (Canada), Intenda (Netherlands), Atacama (Canada), Alation (US), Collibra (US), Dremio (US), Starburst (US), Nexla (US), NextData (Australia), Hevo Data (US), Atlan (US), CluedIn (Denmark), Iguazio (Israel) and Alex Solutions (Australia). These players have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the data mesh market.
IBM
IBM, a global leader in technology and innovation, stands at the forefront of the data mesh market, leveraging its extensive expertise to redefine sustainable business practices. With a rich legacy in pioneering solutions for the digital era, IBM is committed to driving environmental stewardship and economic efficiency through cutting-edge technologies. In data mesh, IBM plays a pivotal role by offering a suite of advanced solutions designed to optimize resource utilization, minimize waste, and foster a regenerative approach to production and consumption. IBM’s cloud-based offerings, such as IBM Cloud Pak for Data, incorporate capabilities that align with the decentralized and domain-oriented approach advocated by the data mesh model. These platforms often provide tools for data integration, governance, AI/ML, and analytics that can support a more decentralized data architecture like that of a data mesh.
Oracle
In the data mesh market, Oracle offers Oracle GoldenGate Platform which is a streaming data platform. Oracle GoldenGate is widely used in scenarios where organizations require real-time data replication and integration across heterogeneous systems for purposes such as data warehousing, business intelligence, disaster recovery, and ensuring data consistency across different operational environments. Oracle’s cloud services, including Oracle Cloud Infrastructure and Oracle Cloud Applications, have gained significant traction, enabling businesses to modernize their IT infrastructure and drive digital transformation. With a commitment to innovation and customer success, Oracle continues to be a major player in the global technology landscape.
Informatica
Informatica stands out as a major player in the data management and integration domain, particularly excelling in the dynamic field of data mesh. Positioned at the forefront, Informatica has emerged as a leader by offering comprehensive solutions tailored for the decentralized, domain-oriented data architecture prevalent in data mesh frameworks. Their suite of tools spans data integration, governance, quality, and master data management, aligning perfectly with data mesh principles. These tools facilitate self-serve data access, scalability, and the consistent reliability of data across varied domains. Leveraging their expertise, Informatica aids organizations in implementing robust data mesh frameworks, ensuring smooth data flow while upholding crucial aspects of governance, security, and compliance. Their commitment to democratizing data access, empowering domain-specific teams, and fostering collaborative cultures resonates deeply with the fundamental principles of the data mesh approach, making Informatica an invaluable partner for enterprises navigating this transformative era of data management.
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