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As per Intent Market Research, the Data Monetization Market was valued at USD 2.8 billion in 2023 and will surpass USD 9.0 billion by 2030; growing at a CAGR of 18.4% during 2024 - 2030.
The report focuses on estimating the current market potential in terms of the total addressable market for all the segments, sub-segments, and regions. In the process, all the high-growth and upcoming technologies were identified and analysed to measure their impact on the current and future market. The report also identifies the key stakeholders, their business gaps, and their purchasing behaviour. This information is essential for developing effective marketing strategies and creating products or services that meet the needs of the target market. The report also covers a detailed analysis of the competitive landscape which includes major players, their recent developments, growth strategies, product benchmarking, and manufacturing operations among others. Also, brief insights on start-up ecosystem and emerging companies are also included as part of this report.
The report will help you answer some of the most critical questions in the Data Monetization Market. A few of them are as follows:
Report Features |
Description |
Market Size (2023) |
USD 2.8 billion |
Forecasted Value (2030) |
USD 9.0 billion |
CAGR (2024 – 2030) |
18.4% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Data Monetization Market By Component (Software, Services), By Deployment (On-Premises, Cloud), By Enterprise Size (Large Enterprise, Small and Medium Sized Enterprise), By Data Type (Customer Data, Product Data, Financial Data, Supplier Data), By Industry Vertical (BFSI, IT and Telecommunication, Retail and E-Commerce, Healthcare, Manufacturing, Media and Entertainment, Transportation and Logistics, Energy and Utilities) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy & Rest of Europe), Asia Pacific (China, Japan, South Korea, India, and Rest of Asia Pacific), Latin America (Brazil, Argentina, & Rest of Latin America), Middle East & Africa (Saudi Arabia, South Africa, United Arab Emirates, & Rest of MEA) |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3.Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Data Monetization Market, By Component (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Software |
4.2. Services |
5. Data Monetization Market, By Deployment (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. On-Premises |
5.2. Cloud |
6. Data Monetization Market, By Enterprise Size (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Large Enterprise |
6.2. Small and Medium Sized Enterprise |
7. Data Monetization Market, By Data Type (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. Customer Data |
7.2. Product Data |
7.3. Financial Data |
7.4. Supplier Data |
8. Data Monetization Market, By Industry Vertical (Market Size & Forecast: USD Million, 2022 – 2030) |
8.1. BFSI |
8.2. IT and Telecommunication |
8.3. Retail and E-Commerce |
8.4. Healthcare |
8.5. Manufacturing |
8.6. Media and Entertainment |
8.7. Transportation and Logistics |
8.8. Energy and Utilities |
8.9. Others |
9. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
9.1. Regional Overview |
9.2. North America |
9.2.1. Regional Trends & Growth Drivers |
9.2.2. Barriers & Challenges |
9.2.3. Opportunities |
9.2.4. Factor Impact Analysis |
9.2.5. Technology Trends |
9.2.6. North America Data Monetization Market, by Component |
9.2.7. North America Data Monetization Market, by Deployment |
9.2.8. North America Data Monetization Market, by Enterprise Size |
9.2.9. North America Data Monetization Market, by Data Type |
9.2.10. North America Data Monetization Market, by Industry Vertical |
9.2.11. By Country |
9.2.11.1. US |
9.2.11.1.1. US Data Monetization Market, by Component |
9.2.11.1.2. US Data Monetization Market, by Deployment |
9.2.11.1.3. US Data Monetization Market, by Enterprise Size |
9.2.11.1.4. US Data Monetization Market, by Data Type |
9.2.11.1.5. US Data Monetization Market, by Industry Vertical |
9.2.11.2. Canada |
9.2.11.3. Mexico |
*Similar segmentation will be provided for each region and country |
9.3. Europe |
9.4. Asia-Pacific |
9.5. Latin America |
9.6. Middle East & Africa |
10. Competitive Landscape |
10.1. Overview of the Key Players |
10.2. Competitive Ecosystem |
10.2.1. Level of Fragmentation |
10.2.2. Market Consolidation |
10.2.3. Product Innovation |
10.3. Company Share Analysis |
10.4. Company Benchmarking Matrix |
10.4.1. Strategic Overview |
10.4.2. Product Innovations |
10.5. Start-up Ecosystem |
10.6. Strategic Competitive Insights/ Customer Imperatives |
10.7. ESG Matrix/ Sustainability Matrix |
10.8. Manufacturing Network |
10.8.1. Locations |
10.8.2. Supply Chain and Logistics |
10.8.3. Product Flexibility/Customization |
10.8.4. Digital Transformation and Connectivity |
10.8.5. Environmental and Regulatory Compliance |
10.9. Technology Readiness Level Matrix |
10.10. Technology Maturity Curve |
10.11. Buying Criteria |
11. Company Profiles |
11.1. DOMO |
11.1.1. Company Overview |
11.1.2. Company Financials |
11.1.3. Product/Service Portfolio |
11.1.4. Recent Developments |
11.1.5. IMR Analysis |
*Similar information will be provided for other companies |
11.2. IBM |
11.3. Infosys |
11.4. LOOKER (GOOGLE) |
11.5. Microsoft |
11.6. Oracle |
11.7. QLIK |
11.8. Salesforce |
11.9. SAS Institute |
11.10. Sisense |
11.11. ThoghtSpot |
12. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Data Monetization Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Data Monetization Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the data monetization ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Data Monetization Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.