
Europe Data Monetization Market Size, Share & Trends Analysis Report By Organization Size (Large Enterprises, and SMEs), By Method, By Vertical, By Component, By Country and Growth Forecast, 2024 - 2031
Description
The Europe Data Monetization Market would witness market growth of 23.9% CAGR during the forecast period (2024-2031).
The Germany market dominated the Europe Data Monetization Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $1,009.4 million by 2031. The UK market is exhibiting a CAGR of 22.7% during (2024 - 2031). Additionally, The France market would experience a CAGR of 24.9% during (2024 - 2031).
This wealth of information, when harnessed effectively, unlocks opportunities for revenue generation, competitive differentiation, and innovation. The market is not limited to tech giants or data-centric firms; companies in sectors like retail, healthcare, finance, manufacturing, and telecommunications are all finding ways to capitalize on their data assets.
The applications of data monetization are diverse and span multiple industries, reflecting the versatility of data as a resource. One of the most prominent applications is in personalized marketing. Companies use customer data—such as purchase history, browsing behaviour, and preferences—to deliver targeted advertisements, tailored product recommendations, and customized promotions.
The European market is experiencing robust growth, driven by increasing industrial production, rising adoption of AI technologies, and significant investments in artificial intelligence (AI). As industries generate vast amounts of operational, transactional, and consumer data, businesses leverage data analytics, AI, and cloud-based solutions to convert raw data into valuable insights and revenue streams. The growing digital transformation across European enterprises further fuels the demand for these monetization strategies. The rise in industrial production across the EU is a major factor contributing to the growth of the market. Industrial production increased by 8% in 2021 and maintained its upward trajectory with a 5% rise in 2022. In nominal terms, the value of sold production surged by 19% from €5,209 billion in 2021 to €6,179 billion in 2022. This expansion is generating massive volumes of operational and supply chain data. Manufacturers are increasingly adopting predictive analytics, AI-powered optimization, and IoT-driven automation to enhance efficiency and reduce costs. By monetizing industrial data, companies can create new revenue models, improve production planning, and drive innovation in smart manufacturing. In conclusion, the steady rise in industrial production, increasing AI adoption, and significant AI investments are propelling the growth of the market in Europe.
Based on Organization Size, the market is segmented into Large Enterprises, and SMEs. Based on Method, the market is segmented into Analytics-enabled Platform as a Service, Embedded Analytics, Insight as a Service, and Data as a Service. Based on Vertical, the market is segmented into BFSI, Telecommunications & IT, Manufacturing, E-commerce & Retail, Energy & Utilities, Healthcare, and Other Vertical. Based on Component, the market is segmented into Tools, Implementation & Integration, Services, Consulting, Supporting & Maintenance, and Research & Development. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
List of Key Companies Profiled
By Organization Size
The Germany market dominated the Europe Data Monetization Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $1,009.4 million by 2031. The UK market is exhibiting a CAGR of 22.7% during (2024 - 2031). Additionally, The France market would experience a CAGR of 24.9% during (2024 - 2031).
This wealth of information, when harnessed effectively, unlocks opportunities for revenue generation, competitive differentiation, and innovation. The market is not limited to tech giants or data-centric firms; companies in sectors like retail, healthcare, finance, manufacturing, and telecommunications are all finding ways to capitalize on their data assets.
The applications of data monetization are diverse and span multiple industries, reflecting the versatility of data as a resource. One of the most prominent applications is in personalized marketing. Companies use customer data—such as purchase history, browsing behaviour, and preferences—to deliver targeted advertisements, tailored product recommendations, and customized promotions.
The European market is experiencing robust growth, driven by increasing industrial production, rising adoption of AI technologies, and significant investments in artificial intelligence (AI). As industries generate vast amounts of operational, transactional, and consumer data, businesses leverage data analytics, AI, and cloud-based solutions to convert raw data into valuable insights and revenue streams. The growing digital transformation across European enterprises further fuels the demand for these monetization strategies. The rise in industrial production across the EU is a major factor contributing to the growth of the market. Industrial production increased by 8% in 2021 and maintained its upward trajectory with a 5% rise in 2022. In nominal terms, the value of sold production surged by 19% from €5,209 billion in 2021 to €6,179 billion in 2022. This expansion is generating massive volumes of operational and supply chain data. Manufacturers are increasingly adopting predictive analytics, AI-powered optimization, and IoT-driven automation to enhance efficiency and reduce costs. By monetizing industrial data, companies can create new revenue models, improve production planning, and drive innovation in smart manufacturing. In conclusion, the steady rise in industrial production, increasing AI adoption, and significant AI investments are propelling the growth of the market in Europe.
Based on Organization Size, the market is segmented into Large Enterprises, and SMEs. Based on Method, the market is segmented into Analytics-enabled Platform as a Service, Embedded Analytics, Insight as a Service, and Data as a Service. Based on Vertical, the market is segmented into BFSI, Telecommunications & IT, Manufacturing, E-commerce & Retail, Energy & Utilities, Healthcare, and Other Vertical. Based on Component, the market is segmented into Tools, Implementation & Integration, Services, Consulting, Supporting & Maintenance, and Research & Development. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
List of Key Companies Profiled
- Accenture PLC
- Cisco Systems, Inc.
- Salesforce, Inc.
- IBM Corporation
- Infosys Limited
- SAP SE
- Oracle Corporation
- Google LLC (Alphabet Inc.)
- Microsoft Corporation
- Siemens AG
By Organization Size
- Large Enterprises
- SMEs
- Analytics-enabled Platform as a Service
- Embedded Analytics
- Insight as a Service
- Data as a Service
- BFSI
- Telecommunications & IT
- Manufacturing
- E-commerce & Retail
- Energy & Utilities
- Healthcare
- Other Vertical
- Tools
- Implementation & Integration
- Services
- Consulting
- Supporting & Maintenance
- Research & Development
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Table of Contents
170 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Europe Data Monetization Market, by Organization Size
- 1.4.2 Europe Data Monetization Market, by Method
- 1.4.3 Europe Data Monetization Market, by Vertical
- 1.4.4 Europe Data Monetization Market, by Component
- 1.4.5 Europe Data Monetization 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 Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
- Chapter 4. Competition Analysis - Global
- 4.1 KBV 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, 2023
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
- 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2023, Mar – 2025, Mar) Leading Players
- 4.5 Porter Five Forces Analysis
- Chapter 5. Europe Data Monetization Market by Organization Size
- 5.1 Europe Large Enterprises Market by Country
- 5.2 Europe SMEs Market by Country
- Chapter 6. Europe Data Monetization Market by Method
- 6.1 Europe Analytics-enabled Platform as a Service Market by Country
- 6.2 Europe Embedded Analytics Market by Country
- 6.3 Europe Insight as a Service Market by Country
- 6.4 Europe Data as a Service Market by Country
- Chapter 7. Europe Data Monetization Market by Vertical
- 7.1 Europe BFSI Market by Country
- 7.2 Europe Telecommunications & IT Market by Country
- 7.3 Europe Manufacturing Market by Country
- 7.4 Europe E-commerce & Retail Market by Country
- 7.5 Europe Energy & Utilities Market by Country
- 7.6 Europe Healthcare Market by Country
- 7.7 Europe Other Vertical Market by Country
- Chapter 8. Europe Data Monetization Market by Component
- 8.1 Europe Tools Market by Country
- 8.2 Europe Implementation & Integration Market by Country
- 8.3 Europe Services Market by Country
- 8.4 Europe Consulting Market by Country
- 8.5 Europe Supporting & Maintenance Market by Country
- 8.6 Europe Research & Development Market by Country
- Chapter 9. Europe Data Monetization Market by Country
- 9.1 Germany Data Monetization Market
- 9.1.1 Germany Data Monetization Market by Organization Size
- 9.1.2 Germany Data Monetization Market by Method
- 9.1.3 Germany Data Monetization Market by Vertical
- 9.1.4 Germany Data Monetization Market by Component
- 9.2 UK Data Monetization Market
- 9.2.1 UK Data Monetization Market by Organization Size
- 9.2.2 UK Data Monetization Market by Method
- 9.2.3 UK Data Monetization Market by Vertical
- 9.2.4 UK Data Monetization Market by Component
- 9.3 France Data Monetization Market
- 9.3.1 France Data Monetization Market by Organization Size
- 9.3.2 France Data Monetization Market by Method
- 9.3.3 France Data Monetization Market by Vertical
- 9.3.4 France Data Monetization Market by Component
- 9.4 Russia Data Monetization Market
- 9.4.1 Russia Data Monetization Market by Organization Size
- 9.4.2 Russia Data Monetization Market by Method
- 9.4.3 Russia Data Monetization Market by Vertical
- 9.4.4 Russia Data Monetization Market by Component
- 9.5 Spain Data Monetization Market
- 9.5.1 Spain Data Monetization Market by Organization Size
- 9.5.2 Spain Data Monetization Market by Method
- 9.5.3 Spain Data Monetization Market by Vertical
- 9.5.4 Spain Data Monetization Market by Component
- 9.6 Italy Data Monetization Market
- 9.6.1 Italy Data Monetization Market by Organization Size
- 9.6.2 Italy Data Monetization Market by Method
- 9.6.3 Italy Data Monetization Market by Vertical
- 9.6.4 Italy Data Monetization Market by Component
- 9.7 Rest of Europe Data Monetization Market
- 9.7.1 Rest of Europe Data Monetization Market by Organization Size
- 9.7.2 Rest of Europe Data Monetization Market by Method
- 9.7.3 Rest of Europe Data Monetization Market by Vertical
- 9.7.4 Rest of Europe Data Monetization Market by Component
- Chapter 10. Company Profiles
- 10.1 Accenture PLC
- 10.1.1 Company Overview
- 10.1.2 Financial Analysis
- 10.1.3 Segmental Analysis
- 10.1.4 Recent strategies and developments:
- 10.1.4.1 Partnerships, Collaborations, and Agreements:
- 10.1.5 SWOT Analysis
- 10.2 Cisco Systems, Inc.
- 10.2.1 Company Overview
- 10.2.2 Financial Analysis
- 10.2.3 Regional Analysis
- 10.2.4 Research & Development Expense
- 10.2.5 Recent strategies and developments:
- 10.2.5.1 Partnerships, Collaborations, and Agreements:
- 10.2.5.2 Product Launches and Product Expansions:
- 10.2.5.3 Acquisition and Mergers:
- 10.2.6 SWOT Analysis
- 10.3 Salesforce, Inc.
- 10.3.1 Company Overview
- 10.3.2 Financial Analysis
- 10.3.3 Regional Analysis
- 10.3.4 Research & Development Expenses
- 10.3.5 Recent strategies and developments:
- 10.3.5.1 Partnerships, Collaborations, and Agreements:
- 10.3.5.2 Product Launches and Product Expansions:
- 10.3.6 SWOT Analysis
- 10.4 IBM Corporation
- 10.4.1 Company Overview
- 10.4.2 Financial Analysis
- 10.4.3 Regional & Segmental Analysis
- 10.4.4 Research & Development Expenses
- 10.4.5 Recent strategies and developments:
- 10.4.5.1 Partnerships, Collaborations, and Agreements:
- 10.4.6 SWOT Analysis
- 10.5 Infosys Limited
- 10.5.1 Company Overview
- 10.5.2 Financial Analysis
- 10.5.3 Segmental and Regional Analysis
- 10.5.4 Research & Development Expense
- 10.5.5 SWOT Analysis
- 10.6 SAP SE
- 10.6.1 Company Overview
- 10.6.2 Financial Analysis
- 10.6.3 Regional Analysis
- 10.6.4 Research & Development Expense
- 10.6.5 SWOT Analysis
- 10.7 Oracle Corporation
- 10.7.1 Company Overview
- 10.7.2 Financial Analysis
- 10.7.3 Segmental and Regional Analysis
- 10.7.4 Research & Development Expense
- 10.7.5 Recent strategies and developments:
- 10.7.5.1 Acquisition and Mergers:
- 10.7.6 SWOT Analysis
- 10.8 Google LLC (Alphabet Inc.)
- 10.8.1 Company Overview
- 10.8.2 Financial Analysis
- 10.8.3 Segmental and Regional Analysis
- 10.8.4 Research & Development Expenses
- 10.8.5 SWOT Analysis
- 10.9 Microsoft Corporation
- 10.9.1 Company Overview
- 10.9.2 Financial Analysis
- 10.9.3 Segmental and Regional Analysis
- 10.9.4 Research & Development Expenses
- 10.9.5 Recent strategies and developments:
- 10.9.5.1 Partnerships, Collaborations, and Agreements:
- 10.9.5.2 Product Launches and Product Expansions:
- 10.9.6 SWOT Analysis
- 10.10. Siemens AG
- 10.10.1 Company Overview
- 10.10.2 Financial Analysis
- 10.10.3 Segmental and Regional Analysis
- 10.10.4 Research & Development Expense
- 10.10.5 SWOT Analysis
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