In the dynamic landscape of data management, organizations are embracing a paradigm shift with the emergence of the the mesh. This revolutionary approach redefines how large enterprises handle, share, and govern data. This mesh advocates for a decentralized model wherein ownership and responsibility for data are distributed across different teams or domains within an organization. This shift aligns with the principles of domain-oriented decentralized architecture, promoting autonomy and accountability among individual teams for their specific data products.
In addition, the applications of this mesh are multifaceted, spanning various industries and organizational domains. From healthcare and finance to manufacturing and e-commerce, the principles of this mesh find relevance in addressing the unique challenges faced by different sectors. In healthcare, the mesh principles can be applied to manage patient records, medical imaging data, and research datasets. Decentralized data ownership allows different healthcare units to manage their data autonomously, facilitating more efficient and secure collaboration between medical professionals and researchers.
As per the data from the International Trade Administration, Mexico’s National Power System Development Program (Programa de Desarrollo del Sistema Eléctrico Nacional or PRODESEN) reported a total of 340713 GWh of power generation in 2022, from which 31.2 percent corresponded to clean energy sources (renewable and non-renewable such as nuclear and efficient cogeneration), and 68.8 percent corresponded to fossil fuels. Additionally, Canada's growing BFSI (Banking, Financial Services, and Insurance) sector is currently driving an expansion in adopting data mesh strategies. As per the data published in 2023 by the International Trade Administration, Canada’s banking industry contributes 3.6% (or US$55 billion) to Canada’s GDP. Therefore, growing BFSI and energy sectors in North America will help grow the regional market.
The US market dominated the North America Data Mesh Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $957.3 million by 2030. The Canada market is experiencing a CAGR of 18.3% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 17.3% during (2023 - 2030).
Based on Offering, the market is segmented into Solution (Cloud, On-premise), Services. Based on Solution Type, the market is segmented into Data Integration & Delivery, Data Transformation & Orchestration, Data Operations, and Others. Based on Approach, the market is segmented into Coarse-grained, Fine-grained, Hybrid federated mesh, and Value chain-aligned mesh. Based on Application, the market is segmented into Customer Experience Management, Data Privacy Management, Chatbots/ Virtual Assistants, Campaign Management & IoT Monitoring, and Others. Based on Business Function, the market is segmented into Sales & Marketing, Finance & Accounting, Operations & Supply Chain, HR, ITSM, Research & Development, and Others. Based on Vertical, the market is segmented into BFSI, Government & Defense, Energy & Utilities, Healthcare & Lifesciences, Transportation & Logistics, Manufacturing, Retail & eCommerce, IT & Telecom, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
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.
Market Report Segmentation
By Offering- Solution
- Solution Deployment Type
- Cloud
- On-premise
- Solution Type
- Data Integration & Delivery
- Data Transformation & Orchestration
- Data Operations
- Others
- Services
- Coarse-grained
- Fine-grained
- Hybrid federated mesh
- Value chain-aligned mesh
- Customer Experience Management
- Data Privacy Management
- Chatbots/ Virtual Assistants
- Campaign Management & IoT Monitoring
- Others
- Sales & Marketing
- Finance & Accounting
- Operations & Supply Chain
- HR
- ITSM
- Research & Development
- Others
- BFSI
- Government & Defense
- Energy & Utilities
- Healthcare & Lifesciences
- Transportation & Logistics
- Manufacturing
- Retail & eCommerce
- IT & Telecom
- Others
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
Companies Mentioned
- 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.
Methodology
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