Summary

Data Monetization Market Growth & Trends

The global data monetization market size is expected to reach USD 16.05 billion by 2030, registering a CAGR of 25.6% from 2023 to 2030, according to a study conducted by Grand View Research, Inc. Data monetization is a strategy used by several organizations to increase their revenue. It is the process of utilizing data to obtain quantifiable economic benefits. There are two types of data monetization techniques, direct data monetization, and indirect data monetization.

There are several types of data monetization methods wherein organizations use data to discover new customers and business opportunities. These data monetization methods are data as a service, insight as a service, analytics-enabled platform as service, and embedded analytics. The analytics-enabled platform as a service method is anticipated to witness significant growth as it provides real-time access to data on the cloud along with consistent triggers/alerts.

Data monetization is expected to be a catalyst for several brands as it enables them towards becoming a pioneer in data-driven principles. It creates new revenue streams for organizations. Additionally, it also promotes companies to reduce operating costs and overall general expenses and enables them to take adequate actions in improving their sales. Several end-use industries have leveraged the benefits of data monetization, and many more are moving towards data monetization.

For instance, data monetization offers geofencing and geotargeting in the retail and tourism industries. For the healthcare sector, government, and advertisement agencies, it ensures density planning and traffic flow. Similarly, it provides fraud detection for credit card companies and financial institutes. It offers smart targeting, Internet of Things (IoT), click-stream insights for digital and brand advertisers, and several other companies. Such factors are anticipated to power market growth over the forecast period.

However, factors such as data security and privacy, rising complexities in data structures, and varying regulatory policies are anticipated to hinder the market growth over the forecast period. Nevertheless, data monetization is capable of identifying and mitigating risk, improving compliance, streamlining planning and decision making, and creating a competitive advantage in the market. It has significantly shadowed market hindering factors and has enabled organizations to take adequate measures.

Data Monetization Market Report Highlights

• SMEs are anticipated to expand at a CAGR of over 29.3% from 2023 to 2030. Rising demand for BI has significantly impacted the adoption of data monetization amongst SMEs

• The analytics-enabled platform as a service segment accounted for the largest revenue share of around 37.7% in 2022 and is also expected to grow at the fastest CAGR of 27.5% over the forecast period.

• For instance, in the automotive industry, data monetization ensures several benefits, such as tracking in case of real-time diagnostics and predictive maintenance. Technological advancements and increased digitalization resulted in easy tracking of vehicle performance. The implementation of IoT, telematics, and automation is also expected to increase the market demand in the industry

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Table of Contents

Table of Contents

Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.1.1. Method
1.1.2. Enterprise size
1.1.3. Vertical
1.1.4. Regional scope
1.1.5. Estimates and forecast timeline
1.2. Research Methodology
1.3. Information Procurement
1.3.1. Purchased database
1.3.2. GVR’s internal database
1.3.3. Secondary sources
1.3.4. Primary research
1.3.5. Details of primary research
1.4. Information or Data Analysis
1.5. Market Formulation & Validation
1.6. Model Details
1.7. List of Secondary Sources
1.8. List of Primary Sources
1.9. Objectives
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.2.1. Method outlook
2.2.2. Enterprise size outlook
2.2.3. Vertical outlook
2.2.4. Regional outlook
2.3. Competitive Insights
Chapter 3. Data Monetization Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.2. Industry Value Chain Analysis
3.3. Market Dynamics
3.3.1. Market driver analysis
3.3.2. Market restraint analysis
3.3.3. Market opportunity analysis
3.4. Data Monetization Market Analysis Tools
3.4.1. Industry Analysis – Porter’s
3.4.1.1. Supplier power
3.4.1.2. Buyer power
3.4.1.3. Substitution threat
3.4.1.4. Threat of new entrant
3.4.1.5. Competitive rivalry
3.4.2. PESTEL Analysis
3.4.2.1. Political landscape
3.4.2.2. Technological landscape
3.4.2.3. Economic landscape
Chapter 4. Data Monetization Market: Method Estimates & Trend Analysis
4.1. Data Monetization Market: Key Takeaways
4.2. Data Monetization Market: Movement & Market Share Analysis, 2022 & 2030
4.3. Data as a service
4.3.1. Data as a service market estimates and forecasts, 2018 to 2030 (USD Million)
4.4. Insight as a service
4.4.1. Insight as a service market estimates and forecasts, 2018 to 2030 (USD Million)
4.5. Analytics-enabled platform as a service
4.5.1. Analytics-enabled platform as a service market estimates and forecasts, 2018 to 2030 (USD Million)
4.6. Embedded analytics
4.6.1. Embedded analytics market estimates and forecasts, 2018 to 2030 (USD Million)
Chapter 5. Data Monetization Market: Enterprise Size Estimates & Trend Analysis
5.1. Data Monetization Market: Key Takeaways
5.2. Data Monetization Market: Movement & Market Share Analysis, 2022 & 2030
5.3. Large Enterprises
5.3.1. Large enterprises market estimates and forecasts, 2018 to 2030 (USD Million)
5.4. SMEs
5.4.1. SMEs market estimates and forecasts, 2018 to 2030 (USD Million)
Chapter 6. Data Monetization Market: Vertical Estimates & Trend Analysis
6.1. Data Monetization Market: Key Takeaways
6.2. Data Monetization Market: Movement & Market Share Analysis, 2022 & 2030
6.3. BFSI
6.3.1. BFSI market estimates and forecasts, 2018 to 2030 (USD Million)
6.4. E-commerce & Retail
6.4.1. E-commerce & Retail market estimates and forecasts, 2018 to 2030 (USD Million)
6.5. Telecommunications & IT
6.5.1. Telecommunications & IT market estimates and forecasts, 2018 to 2030 (USD Million)
6.6. Manufacturing
6.6.1. Manufacturing market estimates and forecasts, 2018 to 2030 (USD Million)
6.7. Healthcare
6.7.1. Healthcare market estimates and forecasts, 2018 to 2030 (USD Million)
6.8. Energy & Utilities
6.8.1. Energy & utilities market estimates and forecasts, 2018 to 2030 (USD Million)
6.9. Others
6.9.1. Others market estimates and forecasts, 2018 to 2030 (USD Million)
Chapter 7. Data Monetization Market: Regional Estimates & Trend Analysis
7.1. Regional Outlook
7.2. Data Monetization Market by Region: Key Takeaway
7.3. North America
7.3.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.3.2. U.S.
7.3.2.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.3.3. Canada
7.3.3.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.4. Europe
7.4.1. UK
7.4.1.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.4.2. Germany
7.4.2.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.4.3. France
7.4.3.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.5. Asia Pacific
7.5.1. Japan
7.5.1.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.5.2. China
7.5.2.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.5.3. India
7.5.3.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.5.4. Australia
7.5.4.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.5.5. South Korea
7.5.5.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.6. Latin America
7.6.1. Brazil
7.6.1.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.6.2. Mexico
7.6.2.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.7. MEA
7.7.1. Saudi Arabia
7.7.1.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.7.2. South Africa
7.7.2.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
7.7.3. UAE
7.7.3.1. Market estimates and forecasts, 2018 to 2030 (Revenue, USD Million)
Chapter 8. Competitive Landscape
8.1. Recent Developments & Impact Analysis, By Key Market Participants
8.2. Market Participant Categorization
8.2.1. Accenture
8.2.1.1. Company overview
8.2.1.2. Financial performance
8.2.1.3. Product benchmarking
8.2.1.4. Strategic initiatives
8.2.2. Adstra
8.2.2.1. Company overview
8.2.2.2. Financial performance
8.2.2.3. Product benchmarking
8.2.2.4. Strategic initiatives
8.2.3. Cisco Systems, Inc.
8.2.3.1. Company overview
8.2.3.2. Financial performance
8.2.3.3. Product benchmarking
8.2.3.4. Strategic initiatives
8.2.4. Gemalto NV
8.2.4.1. Company overview
8.2.4.2. Financial performance
8.2.4.3. Product benchmarking
8.2.4.4. Strategic initiatives
8.2.5. IBM Corporation
8.2.5.1. Company overview
8.2.5.2. Financial performance
8.2.5.3. Product benchmarking
8.2.5.4. Strategic initiatives
8.2.6. Infosys Limited
8.2.6.1. Company overview
8.2.6.2. Financial performance
8.2.6.3. Product benchmarking
8.2.6.4. Strategic initiatives
8.2.7. Comviva
8.2.7.1. Company overview
8.2.7.2. Financial performance
8.2.7.3. Product benchmarking
8.2.7.4. Strategic initiatives
8.2.8. Monetize
8.2.8.1. Company overview
8.2.8.2. Financial performance
8.2.8.3. Product benchmarking
8.2.8.4. Strategic initiatives
8.2.9. Reltio
8.2.9.1. Company overview
8.2.9.2. Financial performance
8.2.9.3. Product benchmarking
8.2.9.4. Strategic initiatives
8.2.10. SAP SE
8.2.10.1. Company overview
8.2.10.2. Financial performance
8.2.10.3. Product benchmarking
8.2.10.4. Strategic initiatives
8.2.11. Domo, Inc.
8.2.11.1. Company overview
8.2.11.2. Financial performance
8.2.11.3. Product benchmarking
8.2.11.4. Strategic initiatives
8.2.12. Revelate Data Monetization Corp.
8.2.12.1. Company overview
8.2.12.2. Financial performance
8.2.12.3. Product benchmarking
8.2.12.4. Strategic initiatives