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

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    Report

  • 190 Pages
  • February 2024
  • Region: Europe
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5945816
Description Jump to:
The Europe Data Mesh Market would witness market growth of 16.1% CAGR during the forecast period (2023-2030).

In the financial sector, this mesh can streamline processes related to customer transactions, risk management, and regulatory compliance. Individual financial products or services can be treated as distinct data products, with teams responsible for their specific domain, enabling quicker response to market dynamics and regulatory changes. Likewise, manufacturing industries leverage this mesh for optimizing supply chain operations, predictive maintenance, and quality control.

Furthermore, e-commerce platforms with vast and diverse datasets benefit from the mesh principles by empowering teams to independently manage product data, customer behavior analytics, and inventory information. This decentralized approach ensures that each business unit can tailor its data strategies to meet the unique requirements of its product line or market segment.

As per the data from the Government of the United Kingdom, the retail industry is an integral part of the economy, comprising 5.2% of the UK's gross domestic product (GDP) in 2020, and sales volume reached £403 billion in 2020. Additionally, as per the Eurostat data, primary energy production within the EU in 2021 accounted for 25 020 petajoules (PJ), 4.3 % higher than in 2020. Renewable energies accounted for the highest share in primary energy production in the EU in 2021 (40.8 %), followed by nuclear heat (31.2 %), solid fossil fuels (15.2 %), natural gas (6.4 %), oil and petroleum products (3.4 %), and non-renewable waste (2.3 %). Hence, the growing retail and energy sectors in Europe will boost the demand in the region.

The Germany market dominated the Europe Data Mesh Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $231.3 million by 2030. The UK market is exhibiting a CAGR of 15% during (2023 - 2030). Additionally, The France market would experience a CAGR of 17% 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 Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

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
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 Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Data Mesh Market, by Offering
1.4.2 Europe Data Mesh Market, by Approach
1.4.3 Europe Data Mesh Market, by Application
1.4.4 Europe Data Mesh Market, by Business Function
1.4.5 Europe Data Mesh Market, by Vertical
1.4.6 Europe Data Mesh Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Opportunities
3.2.3 Market Restraints
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2022
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2019, Jun - 2023, Dec) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Europe Data Mesh Market by Offering
5.1 Europe Solution Market by Country
5.2 Europe Data Mesh Market by Solution Deployment Type
5.2.1 Europe Cloud Market by Country
5.2.2 Europe On-premise Market by Country
5.3 Europe Data Mesh Market by Solution Type
5.3.1 Europe Data Integration & Delivery Market by Country
5.3.2 Europe Data Transformation & Orchestration Market by Country
5.3.3 Europe Data Operations Market by Country
5.3.4 Europe Others Market by Country
5.4 Europe Services Market by Country
Chapter 6. Europe Data Mesh Market by Approach
6.1 Europe Coarse-grained Market by Country
6.2 Europe Fine-grained Market by Country
6.3 Europe Hybrid federated mesh Market by Country
6.4 Europe Value chain-aligned mesh Market by Country
Chapter 7. Europe Data Mesh Market by Application
7.1 Europe Customer Experience Management Market by Country
7.2 Europe Data Privacy Management Market by Country
7.3 Europe Chatbots/ Virtual Assistants Market by Country
7.4 Europe Campaign Management & IoT Monitoring Market by Country
7.5 Europe Others Market by Country
Chapter 8. Europe Data Mesh Market by Business Function
8.1 Europe Sales & Marketing Market by Country
8.2 Europe Finance & Accounting Market by Country
8.3 Europe Operations & Supply Chain Market by Country
8.4 Europe HR Market by Country
8.5 Europe ITSM Market by Country
8.6 Europe Research & Development Market by Country
8.7 Europe Others Market by Country
Chapter 9. Europe Data Mesh Market by Vertical
9.1 Europe BFSI Market by Country
9.2 Europe Government & Defense Market by Country
9.3 Europe Energy & Utilities Market by Country
9.4 Europe Healthcare & Lifesciences Market by Country
9.5 Europe Transportation & Logistics Market by Country
9.6 Europe Manufacturing Market by Country
9.7 Europe Retail & eCommerce Market by Country
9.8 Europe IT & Telecom Market by Country
9.9 Europe Others Market by Country
Chapter 10. Europe Data Mesh Market by Country
10.1 Germany Data Mesh Market
10.1.1 Germany Data Mesh Market by Offering
10.1.1.1 Germany Data Mesh Market by Solution Deployment Type
10.1.1.2 Germany Data Mesh Market by Solution Type
10.1.2 Germany Data Mesh Market by Approach
10.1.3 Germany Data Mesh Market by Application
10.1.4 Germany Data Mesh Market by Business Function
10.1.5 Germany Data Mesh Market by Vertical
10.2 UK Data Mesh Market
10.2.1 UK Data Mesh Market by Offering
10.2.1.1 UK Data Mesh Market by Solution Deployment Type
10.2.1.2 UK Data Mesh Market by Solution Type
10.2.2 UK Data Mesh Market by Approach
10.2.3 UK Data Mesh Market by Application
10.2.4 UK Data Mesh Market by Business Function
10.2.5 UK Data Mesh Market by Vertical
10.3 France Data Mesh Market
10.3.1 France Data Mesh Market by Offering
10.3.1.1 France Data Mesh Market by Solution Deployment Type
10.3.1.2 France Data Mesh Market by Solution Type
10.3.2 France Data Mesh Market by Approach
10.3.3 France Data Mesh Market by Application
10.3.4 France Data Mesh Market by Business Function
10.3.5 France Data Mesh Market by Vertical
10.4 Russia Data Mesh Market
10.4.1 Russia Data Mesh Market by Offering
10.4.1.1 Russia Data Mesh Market by Solution Deployment Type
10.4.1.2 Russia Data Mesh Market by Solution Type
10.4.2 Russia Data Mesh Market by Approach
10.4.3 Russia Data Mesh Market by Application
10.4.4 Russia Data Mesh Market by Business Function
10.4.5 Russia Data Mesh Market by Vertical
10.5 Spain Data Mesh Market
10.5.1 Spain Data Mesh Market by Offering
10.5.1.1 Spain Data Mesh Market by Solution Deployment Type
10.5.1.2 Spain Data Mesh Market by Solution Type
10.5.2 Spain Data Mesh Market by Approach
10.5.3 Spain Data Mesh Market by Application
10.5.4 Spain Data Mesh Market by Business Function
10.5.5 Spain Data Mesh Market by Vertical
10.6 Italy Data Mesh Market
10.6.1 Italy Data Mesh Market by Offering
10.6.1.1 Italy Data Mesh Market by Solution Deployment Type
10.6.1.2 Italy Data Mesh Market by Solution Type
10.6.2 Italy Data Mesh Market by Approach
10.6.3 Italy Data Mesh Market by Application
10.6.4 Italy Data Mesh Market by Business Function
10.6.5 Italy Data Mesh Market by Vertical
10.7 Rest of Europe Data Mesh Market
10.7.1 Rest of Europe Data Mesh Market by Offering
10.7.1.1 Rest of Europe Data Mesh Market by Solution Deployment Type
10.7.1.2 Rest of Europe Data Mesh Market by Solution Type
10.7.2 Rest of Europe Data Mesh Market by Approach
10.7.3 Rest of Europe Data Mesh Market by Application
10.7.4 Rest of Europe Data Mesh Market by Business Function
10.7.5 Rest of Europe Data Mesh Market by Vertical
Chapter 11. Company Profiles
11.1 Monte Carlo Data, Inc.
11.1.1 Company Overview
11.1.2 Recent strategies and developments:
11.1.2.1 Partnerships, Collaborations, and Agreements:
11.1.2.2 Product Launches and Product Expansions:
11.2 Ataccama group
11.2.1 Company Overview
11.2.2 Recent strategies and developments:
11.2.2.1 Product Launches and Product Expansions:
11.3 Nexla, Inc.
11.3.1 Company Overview
11.4 IBM Corporation
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Regional & Segmental Analysis
11.4.4 Research & Development Expenses
11.4.5 Recent strategies and developments:
11.4.5.1 Partnerships, Collaborations, and Agreements:
11.4.5.2 Product Launches and Product Expansions:
11.4.5.3 Acquisition and Mergers:
11.4.6 SWOT Analysis
11.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Segmental Analysis
11.5.4 Recent strategies and developments:
11.5.4.1 Product Launches and Product Expansions:
11.5.5 SWOT Analysis
11.6 SAP SE
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Segmental and Regional Analysis
11.6.4 Research & Development Expense
11.6.5 SWOT Analysis
11.7 Oracle Corporation
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Segmental and Regional Analysis
11.7.4 Research & Development Expense
11.7.5 Recent strategies and developments:
11.7.5.1 Partnerships, Collaborations, and Agreements:
11.7.5.2 Product Launches and Product Expansions:
11.7.6 SWOT Analysis
11.8 Informatica Inc.
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Regional Analysis
11.8.4 Research & Development Expenses
11.8.5 Recent strategies and developments:
11.8.5.1 Partnerships, Collaborations, and Agreements:
11.8.5.2 Acquisition and Mergers:
11.8.6 SWOT Analysis
11.9 Teradata Corporation
11.9.1 Company Overview
11.9.2 Financial Analysis
11.9.3 Segmental & Regional Analysis
11.9.4 Research & Development Expense
11.9.5 Recent strategies and developments:
11.9.5.1 Product Launches and Product Expansions:
11.9.6 SWOT Analysis
11.10. Microsoft Corporation
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Segmental and Regional Analysis
11.10.4 Research & Development Expenses
11.10.5 Recent strategies and developments:
11.10.5.1 Partnerships, Collaborations, and Agreements:
11.10.6 SWOT Analysis

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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About the Data Mesh Market

Data Mesh is a decentralized socio-technical approach to data architecture and organizational design in IT. It emphasizes the importance of creating domain-oriented, self-serve data infrastructure as a product. Within the context of IT Security, Data Mesh prioritizes robust governance, compliance, and security protocols that are embedded into the data platform itself. Unlike traditional centralized data lakes or data warehouses, where security controls can be uniformly applied, Data Mesh involves distributing the responsibility for data stewardship to domain-specific teams. Each team must enforce appropriate access controls, encryption, auditing, and data lineage tracking as part of their domain's data product offerings. The security challenge in a Data Mesh environment is ensuring consistent application of security policies across disparate domains without impeding accessibility and agility. Solutions typically involve a combination of policy-as-code, secure data access patterns, and automated compliance tooling. Continuous monitoring and validation of security practices are also critical in maintaining a strong security posture as the mesh evolves. Several companies provide solutions or contribute to the Data Mesh market with a focus on security. These include: - Zalando (with its Data Mesh implementation) - Thoughtworks (contributing to the concept and methodologies around Data Mesh) - DataStax (offering data management systems that can be adapted to a Data Mesh architecture) - Talend (providing data integration and integrity tools compatible with Data Mesh principles) - Databricks (offering a unified data analytics platform that can support Data Mesh architecture). Show Less Read more

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