Increasing use of AI and machine learning is expected to drive market expansion soon at a CAGR of 17.00% during the forecast period 2024 to 2032

Market Research Future (MRFR) has published a cooked research report on the “Data Mesh Market” that contains information from 2019 to 2032. The data mesh market is estimated to register a CAGR of 17.00% during the forecast period of 2024 to 2032.

MRFR recognizes the following companies as the key players in the global data mesh market - K2view, AWS, Denodo, Google, HPE, IBM, Informatica, Global IDs, Snowflake, Microsoft, Monte Carlo, Teradata, NetApp Oracle, Radiant Logic, SAP, and Talend.

Data Mesh Market Highlights

The global data mesh market is accounted to register a CAGR of 17.00% during the forecast period and is estimated to reach USD 4.564 billion by 2032.

Data mesh approaches prioritize accessibility by dividing data into manageable self-service domains. This procedure ensures that the information is accessible to and understood by the appropriate parties. The trend toward democratization and increased data accessibility is one of the primary factors propelling the growth of the data mesh industry. It effectively satisfies the changing needs of companies seeking innovation, sound judgment, and adaptability in a data-driven setting.

Segment Analysis

The global data mesh market has been segmented into offering, business function, approach, application, and vertical.

On the basis of offering, the market is segmented into Solution (Data Integration and Delivery, Federated Data Governance, Data Operations, Data Transformation and Orchestration, and Other Solutions) and Services (Professional Services, Managed Services). The solution segment was attributed to holding the largest market share in 2023. Businesses are starting to adopt decentralized architectures, where data is managed by domain-specific teams and considered a product. This shift has increased the need for platforms and solutions that enable the seamless distribution, governance, and integration of data across multiple domains. The latest advancements indicate a focus on scalable and self-serve data architecture, which enables teams to access and utilize data more efficiently.

Based on business function, the global data mesh market has been segmented into Finance & Accounting, Sales & Marketing, Research & Development, Operations & Supply Chain, HR, and ITSM. The HR segment was expected to hold the largest market share in 2023. Due to a number of important variables, HR business operations are developing rapidly, and the rise of data mesh is generating a considerable transition in these areas. A more individualized knowledge of workforce data is required by the increasing emphasis on employee-centric tactics, which has led to the widespread adoption of data mesh frameworks. These frameworks help HR departments handle the complexity of several data sources, such as performance data, talent inventory, employee engagement indicators, and other relevant information.

Based on the approach, the global data mesh market has been segmented into Fine-grained (Fully Federated Mesh, Fully Governed Mesh, Hybrid federated Mesh), Value chain-aligned Mesh, and Coarse-grained (Aligned Mesh, Governed Mesh). The fine-grained segment was expected to hold the largest market share in 2023. In the context of data mesh, this distinct industry is focused on the intricate and careful administration of fine-grained data, meeting the constantly evolving demands of businesses seeking precise control over their data. The need for highly targeted management at the micro-level, coupled with the increasing complexity and diversity of data, has led to a demand for solutions that offer fine-grained mesh capabilities.

Based on application, the global data mesh market has been segmented into Customer Experience Management, Data Privacy Management, Chatbots/ Virtual Assistants, Campaign Management, loT Monitoring, and Other Applications. The data privacy management segment was expected to hold the largest market share in 2023. Data privacy and regulatory compliance have grown critical as firms struggle with handling massive volumes of data dispersed across multiple sources. Regardless of where their data assets are located within the data mesh architecture, data privacy management solutions provide businesses with strong governance, protection, and auditing capabilities through a suite of comprehensive tools and frameworks.

Based on vertical, the global data mesh market has been segmented into BFSI, Healthcare & Life Sciences, Telecom, Retail & E-Commerce, Government & Public Sector, Energy & Utilities, IT/lTeS, Transportation & Logistics, Manufacturing, and Other Vertical. The healthcare & life sciences segment was expected to hold the largest market share in 2023. Patient records, research data, and genetic information are all included in the growing amount of healthcare data. This necessitates cutting-edge fixes like data mesh. Better data integration and analysis from a range of sources is made possible by the decentralized structure of data mesh, which is compatible with the diverse and specialized sectors of healthcare and life sciences.

Regional Analysis

The global data mesh market, based on region, has been divided into North America, Europe, Asia-Pacific, and Rest of the World. North America consists of the US and Canada. The European data mesh market comprises Germany, France, the UK, Italy, Spain, and the rest of Europe. The data mesh market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World data mesh market comprises the Middle East, Africa, and Latin America.

The largest market share for data mesh was maintained by the North American regional sector. In North America, the data mesh market is developing at a rapid technological pace. Due to their understanding of the data mesh strategy's ability to effectively handle complex data problems, local businesses are steadily using it. One significant development is the availability of platforms and tools designed to adhere to data mesh principles.

Moreover, the Europe market has been persistently growing over the forecast period. A growing emphasis on localized data governance frameworks that are adapted to the various regulatory environments found in European nations is one of the major trends reshaping this landscape. Solutions that provide seamless data integration across several domains and guarantee compliance with the region's strict data privacy rules are in high demand.

Additionally, Asia-Pacific is anticipated to experience the quickest growth over the forecast period. Businesses in the Asia-Pacific area are increasingly implementing data mesh concepts to manage complicated data ecosystems. This framework is being influenced by a trend that places more focus on locally tailored data governance frameworks that take into account the various regulatory environments found in Asia-Pacific nations.

Furthermore, the Rest of the World's data mesh market is divided into the Middle East, Africa, and Latin America. The growing demand for superior data management solutions and the region's growing use of digital technologies are driving the rest of the global data mesh market's notable expansion. Scalable and agile data architectures are becoming increasingly important as companies in a variety of industries realize how important it is to use data to make well-informed decisions.

Key Findings of the Study

• The global data mesh market is expected to reach USD 4.564 billion by 2032, at a CAGR of 17.00% during the forecast period.


• The Asia-Pacific region accounted for the fastest-growing global market impacted by a movement that emphasizes the need for regionally specific data governance frameworks that take into consideration the diverse regulatory contexts throughout the Asia-Pacific region.


• Based on application, the data privacy management segment was attributed to holding the largest market in 2023, with an approximate market share of 40%.


• K2view, AWS, Denodo, Google, HPE, IBM, Informatica, Global IDs, Snowflake, Microsoft, Monte Carlo, Teradata, NetApp, Oracle, Radiant Logic, SAP, and Talend are the key market players.