Global Data Mesh Market Size, Share & Trends Analysis Report By Offering (Solution, By Solution Type, By Approach, By Application, By Business Function, By Vertical, By Regional Outlook and Forecast, 2023 - 2030

Global Data Mesh Market Size, Share & Trends Analysis Report By Offering (Solution, By Solution Type, By Approach, By Application, By Business Function, By Vertical, By Regional Outlook and Forecast, 2023 - 2030

The Global Data Mesh Market size is expected to reach $3.6 billion by 2030, rising at a market growth of 16.5% CAGR during the forecast period.

Data mesh’s decentralized nature aligns well with supply chain operations distributed and dynamic nature. Consequently, the operations and supply chain segment would acquire nearly 15% of the total market share by 2030. Data mesh enables the creation of data domains specifically tailored to the unique requirements of different supply chain functions. Thus, owing to these factors, the segment will witness an increased demand in the upcoming years.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, Two news of any two random companies apart from leaders and key innovators. For instance, in December, 2023, Informatica Inc. signed an integration partnership with Databricks. Under the partnership, the two companies would combine Informatica’s no-code data ingestion and transformation pipelines with Databricks-validated Unity Catalog integrations to facilitate better data onboarding and preparation. Moreover, in October, 2023, Monte Carlo Data, Inc. announced a partnership with Alation, to provide solutions for data discovery and verification. The two companies would achieve the aim by integrating Monte Carlo’s end-to-end data observability capabilities with Alation’s Data Intelligence Platform.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the Market. In October, 2023, Microsoft Corporation joined hands with Domino’s Pizza, Inc., an American multinational pizza restaurant chain. Under this collaboration, the companies enhanced the Azure OpenAI and Microsoft Cloud Services to improve customer experiences through a personalized and simplified ordering process. Companies such as Oracle Corporation, IBM Corporation and Informatica Inc. are some of the key innovators in Market.

Market Growth Factors

The distribution of data ownership empowers individual teams or business units by granting them control over their specific data products. In addition, when individual teams own their data, they can make decisions more rapidly. This is because they deeply understand their specific domain's context, requirements, and nuances. Thus, these aspects will boost the demand for this mesh in the coming years.

Treating data as a strategic asset involves acknowledging its value in driving business outcomes. When managed strategically, organizations realize that data can provide a competitive advantage, support decision-making processes, and fuel innovation. Moreover, by treating data as valuable products, businesses aim to provide teams with the information they need for informed decision-making. Therefore, the market will grow rapidly in the upcoming years.

Market Restraining Factors

Adopting a decentralized mesh approach often encounters resistance within traditional organizational structures, primarily due to the fundamental shift it necessitates in mindset, roles, and responsibilities. Additionally, the decentralization proposed by this mesh challenges established norms, suggesting that individual teams or domains should take ownership of their data products. Hence, these factors will reduce the demand for this mesh in the future.

By Offering Analysis

Based on offering, the market is segmented into solution and services. The services segment acquired a 20% revenue share in the market in 2022. As organizations adopt this mesh model, there is a need for specialized services to help them implement and transition to this new paradigm. Consulting, training, and implementation services would be in demand. Since this mesh involves a shift in mindset and practices, organizations might have a skills gap. Service providers offering training and upskilling programs could see increased demand. Therefore, the segment will grow rapidly in the upcoming years.

By Approach Analysis

On the basis of approach, the market is divided into fine-grained, hybrid federated mesh, value chain-aligned mesh, and coarse-grained. The fine-grained segment recorded a 30% revenue share in the market in 2022. Fine-grained data can be more closely aligned with specific business domains. If there is a growing emphasis on domain-oriented data ownership within the this mesh framework, this could drive demand for solutions that cater to fine-grained data.

By Application Analysis

Based on application, the market is divided into customer experience management, data privacy management, chatbots/ virtual assistants, campaign management & IoT monitoring, and others. In 2022, the data privacy management segment witnessed a 20% revenue share in the market. Various teams or domains share data in this mesh architecture. This increased sharing underscores the importance of implementing effective data privacy measures to ensure that sensitive information is appropriately handled and protected. Therefore, there will be enhanced growth in the segment.

By Business Function Analysis

By business function, the market is segmented into finance & accounting, sales & marketing, research & development, operations & supply chain, HR, ITSM, and others. The finance and accounting segment procured a 20% revenue share in the market in 2022. As companies in the finance sector adopt the mesh principles, they are better positioned to harness the power of their data for informed decision-making, compliance, and strategic planning. The mesh architectures' modular and scalable nature allows seamless integration with existing finance and accounting systems, facilitating a smoother transition towards a more data-driven and efficient ecosystem. Thus, these aspects will boost the demand in the segment.

By Vertical

On the basis of vertical, the market is divided into BFSI, healthcare & life sciences, IT & telecom, retail & e-commerce, government & defense, energy & utilities, IT/ITeS, transportation & logistics, manufacturing, and others. In 2022, the IT and telecom segment acquired a 20% revenue share in the market. The telecom industry generates massive amounts of data due to the increasing use of mobile devices and IoT devices and the overall growth in network traffic. The mesh principles might be attractive for telecom companies to manage and utilize this data effectively.

By Regional Analysis

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured 25% revenue share in the market in 2022. The increasing complexity and volume of data in North America drive organizations to explore more scalable and decentralized approaches like this mesh. The mesh emphasizes the creation of cross-functional, autonomous data teams. In North America, organizations are increasingly adopting agile methodologies and seeking ways to empower teams.

Recent Strategies Deployed in the Market

• Sep-2023: Oracle Corporation announced an integration partnership with Microsoft, an American technology corporation. The partnership would involve the integration of Oracle Database with Microsoft Azure for better workload flexibility. Additionally, the integration would lead to better cloud purchasing and management between the two services.
• Aug-2023: IBM Corporation partnered with Salesforce, an American cloud software company, to improve customer, partner, and employee experiences along with protecting their data. The two companies would expand the applications of AI across CRM applications to achieve the aim.
• Dec-2023: Ataccama launched ONE AI, a SaaS offering that aids data leader in routine task automation and trusted data accessibility. The features of the software include AI-driven data quality, AI-powered data governance, Assisted user experience, and SQL Generation.
• Dec-2023: IBM Corporation acquired webMethods and StreamSets, both of them being Super iPaaS (integration platform-as-a-service) developed by Software AG, a German software corporation. The acquisition augments the IBM Watson platform by adding data ingestion capabilities to it.
• May-2022: Oracle Corporation partnered with Informatica, an American software company, to provide solutions for better cloud data management and governance. The two companies would achieve the aim by integrating Oracle Cloud Infrastructure (OCI) with Informatica’s data integration and governance products.

List of Key Companies Profiled

• IBM Corporation
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• SAP SE
• Oracle Corporation
• Informatica Inc.
• Teradata Corporation
• Microsoft Corporation
• Monte Carlo Data, Inc.
• Ataccama group
• Nexla, Inc.

Global Data Mesh Market Report Segmentation

By Offering

• Solution
• Solution Deployment Type

 Cloud

 On-premise

• Solution Type

 Data Integration & Delivery

 Data Transformation & Orchestration

 Data Operations

 Others

• Services

By Approach

• Coarse-grained
• Fine-grained
• Hybrid federated mesh
• Value chain-aligned mesh

By Application

• Customer Experience Management
• Data Privacy Management
• Chatbots/ Virtual Assistants
• Campaign Management & IoT Monitoring
• Others

By Business Function

• Sales & Marketing
• Finance & Accounting
• Operations & Supply Chain
• HR
• ITSM
• Research & Development
• Others

By Vertical

• BFSI
• Government & Defense
• Energy & Utilities
• Healthcare & Lifesciences
• Transportation & Logistics
• Manufacturing
• Retail & eCommerce
• IT & Telecom
• Others

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA

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