Report Scope & Overview:
The Data Monetization Market was estimated to be worth USD 2.8 billion in 2022, and it is anticipated to reach USD 12.11 billion by 2030, growing at a CAGR of 20.1% from 2023 to 2030.
Data Monetization is the term for the exchange of data between firms. It involves using data to create revenue or establish new revenue streams. Direct and indirect monetization are the two types of data monetization. One method of direct data monetization is the sale of raw data. Businesses profit in this scenario by selling the data directly. Examples of direct data monetization include trading or bartering data, selling a company's analysis, and developing one or more APIs.
Businesses use their data to monetize indirectly in ways that can be measured. Businesses gain from indirect monetization in a variety of ways, including cost-cutting, enhanced productivity and efficiency, the development of new products or services, and the discovery of untapped markets or industry niches.
Since it optimizes data usage, fosters customer loyalty, lowers operating costs, improves compliance, increases profitability, fortifies partnerships, and improves customer experience and comprehension, many businesses are leaning toward data Monetization. Similarly, to that, data Monetization raises the value of goods and services, accelerates planning and decision-making processes, fosters better communication and data sharing between internal and external stakeholders, and expands targeted product/service marketing and proposals.
Market Dynamics
Drivers
Businesses should generate and collect more data in order to fuel market expansion.
Adoption of data-driven decision-making is increasing
Businesses gather a variety of data kinds, which are then further analyzed to produce business insights. Some businesses also sell the data that has been analyzed as a service. Competitors and partners are primarily given the data to strategically expand their alliances and explore new business opportunities.
However, the collected data is useless without the aid of analytical tools and systematic application. Maintaining a secure data governance program and the ability to foster a culture that is data-driven makes it easier to handle data and use it to its fullest potential.
Restrains
Cultural constraints and a lack of organizational capacities
The biggest obstacles to utilizing big data in an organization are organizational competencies and culture. Implementing data Monetization tools is anticipated to be hampered by obstacles like insufficient roles and responsibilities, ineffective organizational processes, a lack of management focus and support, and a lack of procedures and quality measurements. An appropriate culture that can adequately support the development of new offers is necessary for data Monetization. This culture must also include a certain set of processes, resources, and capabilities.
Since data Monetization is all about developing a new line of business, having a clear business strategy, a capable team, and a strong business unit leader are urgently needed. Giving staff the appropriate data set and useful tools is insufficient. Additionally, it's important to inform them of the organizational culture, structure, necessary skills, procedures, and behaviors to support the chosen data Monetization business model.
Opportunities
Increasing the use of AI in data processing
Challenges
A rise in data structure complexity
Impact Of covid-19:
Globally, the emergence of COVID-19 has had a significant impact on numerous industries. Industries like aviation, automotive, tourism, oil & gas, education, and manufacturing have seen a decline in market share as a result of lockdowns and limitations under Covid-19. Many governments and FinTech industries have turned their attention to the market for data Monetization as a result of the decline in COVID-19 pandemic cases. This includes the ongoing growth of enterprise data, technological advancements in big data and analytics solutions, an increase in the importance of creating new revenue streams, and security and privacy concerns, among other factors. Opportunities for the expansion of the data Monetization sector are presented by rising consumer awareness of the potential advantages of data Monetization and the rising adoption of data Monetization among service providers. Each aspect does, however, clearly have an impact on the market.
Key Market Segmentation
The Data Monetization Market is segmented into five types on the basis of by Component, by Deployment Type, by Data Type, by Enterprise Size and by Vertical.
by Component
Tools
Services
by Deployment Type
On-Premises
Cloud
by Data Type
Customer Data
Financial Data
by Enterprise Size
Large Enterprises
Small and Medium-Sized Enterprises
by Vertical
BFSI
E-commerce & Retail
Telecommunications & IT
Manufacturing
Healthcare
Energy & Utilities
Others
Regional Analysis
The global market was dominated by North America. Due to the presence of important players in the area, this has occurred. Furthermore, the U.S. has a significant impact on the region's growth. Companies operating in the US and Canada are investing in and quickly implementing cutting-edge technology like analytics, big data, and cloud computing. As a result, North America gained the upper hand. Additionally, increased enterprise demand for automated decision-making processes, reduced infrastructure costs, and technological advancements have had a big impact on regional growth.
The Asia Pacific region's market expansion is anticipated to be further fueled throughout the course of the forecast year by the region's expanding usage of cloud, IoT, and big data solutions. The rapid growth of e-commerce, rising manufacturing, the expansion of the automobile industry, and increased regulatory requirements have all had a favorable impact on regional growth.
In the regional analysis study of the regions of North America, Europe, Asia Pacific middle east, and Africa.
REGIONAL COVERAGE:
North America
USA
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Europe
Asia-Pacific
Japan
South Korea
China
India
Australia
Rest of Asia-Pacific
The Middle East & Africa
Israel
UAE
South Africa
Rest of the Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
Recent development
Data Prosper, which offers services including data list administration, data prosper, data brokerage, and data Monetization, among others, was acquired by Inbounds.com in January 2023. This acquisition led to improvements in inbound data analytics and an increase in the client's return on investment, both of which helped the client's business development.
Wipro introduced the Wipro Data Intelligence Suite in December 2022. This product offers cutting-edge functionality for Monetization and cloud modernization. The organization wanted to accelerate digital transformation and foster corporate growth with the added cloud assistance.
Key Players:
The prominent players of the market are Optiva, Inc., Adstra, Accenture Plc, Cisco Systems, Inc., Reltio, Gemalto NV, IBM Corporation, Infosys Limited, Comviva, Microsoft Corporation, Monetize, SAP SE, Virtusa Corporation, and others in the final report.
| Report Attributes | Details |
| Market Size in 2022 | US$ 2.8 Bn |
| Market Size by 2030 | US$ 12.11 Bn |
| CAGR | CAGR of 20.1% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Tools and Services) • By Deployment Type (On-Premises, Cloud) • By Data Type (Customer Data, Financial Data) • By Enterprise Size (Large Enterprises, Small and Medium Sized Enterprises) • By Vertical (BFSI, E-commerce & Retail, Telecommunications & IT, Manufacturing, Healthcare, Energy & Utilities, Others) |
| Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | Optiva, Inc., Adstra, Accenture Plc, Cisco Systems, Inc., Reltio, Gemalto NV, IBM Corporation, Infosys Limited, Comviva, Microsoft Corporation, Monetize, SAP SE, Virtusa Corporation |
| Key Drivers | • Businesses should generate and collect more data in order to fuel market expansion. • Adoption of data-driven decision-making is increasing |
| Market Opportunities | • Increasing the use of AI in data processing |
The CAGR of the Data Monetization Market for the forecast period 2022-2030 is 20.1 %.
The market is expected to grow to USD 12.11 billion by the forecast period of 2030.
The major worldwide key players in the Data Monetization Market are Optiva, Inc., Adstra, Accenture Plc, Cisco Systems, Inc., Reltio, Gemalto NV, IBM Corporation, Infosys Limited, Comviva, Microsoft Corporation, Monetize, SAP SE, Virtusa Corporation, and others in the final report.
USD 2.8 billion in 2022 is the market share of the Data Monetization Market.
• Businesses should generate and collect more data in order to fuel market expansion.
• Adoption of data-driven decision-making is increasing
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Data Monetization Market Segmentation, by Component
8.1 Tools
8.2 Services
9. Data Monetization Market Segmentation, by Deployment Type
9.1 On-Premises
9.2 Cloud
10. Data Monetization Market Segmentation, by Data Type
10.1 Customer Data
10.2 Financial Data
11. Data Monetization Market Segmentation, by Enterprise Size
11.1 Large Enterprises
11.2 Small and Medium-Sized Enterprises
12. Data Monetization Market Segmentation, by Vertical
12.1 BFSI
12.2 E-commerce & Retail
12.3 Telecommunications & IT
12.4 Manufacturing
12.5 Healthcare
12.6 Energy & Utilities
12.7 Others
13.Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America Data Monetization Market by country
13.2.2North America Data Monetization Market by Component
13.2.3 North America Data Monetization Market by Deployment Type
13.2.4 North America Data Monetization Market By Data Type
13.2.5 North America Data Monetization Market by Enterprise Size
13.2.6 North America Data Monetization Market by Vertical
13.2.7 USA
13.2.7.1 USA Data Monetization Market by Component
13.2.7.2 USA Data Monetization Market by Deployment Type
13.2.7.3 USA Data Monetization Market by Data Type
13.2.7.4 USA Data Monetization Market by Enterprise Size
13.2.7.5 USA Data Monetization Market by Vertical
13.2.8 Canada
13.2.8.1 Canada Data Monetization Market by Component
13.2.8.2 Canada Data Monetization Market by Deployment Type
13.2.8.3 Canada Data Monetization Market by Data Type
13.2.8.4 Canada Data Monetization Market by Enterprise Size
13.2.8.5 Canada Data Monetization Market by Vertical
13.2.9 Mexico
13.2.9.1 Mexico Data Monetization Market by Component
13.2.9.2 Mexico Data Monetization Market by Deployment Type
13.2.9.3 Mexico Data Monetization Market by Data Type
13.2.9.4 Mexico Data Monetization Market by Enterprise Size
13.2.9.5 Mexico Data Monetization Market by Vertical
13.3 Europe
13.3.1 Europe Data Monetization Market by Country
13.3.2 Europe Data Monetization Market by Component
13.3.3 Europe Data Monetization Market by Deployment Type
13.3.4 Europe Data Monetization Market by Data Type
13.3.5 Europe Data Monetization Market by Enterprise Size
13.3.6 Europe Data Monetization Market by Vertical
13.3.7 Germany
13.3.7.1 Germany Data Monetization Market by Component
13.3.7.2 Germany Data Monetization Market by Deployment Type
13.3.7.3 Germany Data Monetization Market By Data Type
13.3.7.4 Germany Data Monetization Market by Enterprise Size
13.3.7.5 Germany Data Monetization Market by Vertical
13.3.8 UK
13.3.8.1 UK Data Monetization Market by Component
13.3.8.2 UK Data Monetization Market by Deployment Type
13.3.8.3 UK Data Monetization Market By Data Type
13.3.8.4 UK Data Monetization Market by Enterprise Size
13.3.8.5 UK Data Monetization Market by Vertical
13.3.9 France
13.3.9.1 France Data Monetization Market by Component
13.3.9.2 France Data Monetization Market by Deployment Type
13.3.9.3 France Data Monetization Market By Data Type
13.3.9.4 France Data Monetization Market by Enterprise Size
13.3.9.5 France Data Monetization Market by Vertical
13.3.10 Italy
13.3.10.1 Italy Data Monetization Market by Component
13.3.10.2 Italy Data Monetization Market by Deployment Type
13.3.10.3 Italy Data Monetization Market By Data Type
13.3.10.4 Italy Data Monetization Market by Enterprise Size
13.3.10.5 Italy Data Monetization Market by Vertical
13.3.11 Spain
13.3.11.1 Spain Data Monetization Market by Component
13.3.11.2 Spain Data Monetization Market by Deployment Type
13.3.11.3 Spain Data Monetization Market By Data Type
13.3.11.4 Spain Data Monetization Market by Enterprise Size
13.3.11.5 Spain Data Monetization Market by Vertical
13.3.12 The Netherlands
13.3.12.1 Netherlands Data Monetization Market by Component
13.3.12.2 Netherlands Data Monetization Market by Deployment Type
13.3.12.3 Netherlands Data Monetization Market By Data Type
13.3.12.4 Netherlands Data Monetization Market by Enterprise Size
13.3.12.5 Netherlands Data Monetization Market by Vertical
13.3.13 Rest of Europe
13.3.13.1 Rest of Europe Data Monetization Market by Component
13.3.13.2 Rest of Europe Data Monetization Market by Deployment Type
13.3.13.3 Rest of Europe Data Monetization Market By Data Type
13.3.13.4 Rest of Europe Data Monetization Market by Enterprise Size
13.3.13.5 Rest of Europe Data Monetization Market by Vertical
13.4 Asia-Pacific
13.4.1 Asia Pacific Data Monetization Market by country
13.4.2 Asia Pacific Data Monetization Market by Component
13.4.3 Asia Pacific Data Monetization Market by Deployment Type
13.4.4Asia Pacific Data Monetization Market By Data Type
13.4.5Asia Pacific Data Monetization Market by Enterprise Size
13.4.6 Asia Pacific Data Monetization Market by Vertical
13.4.7 Japan
13.4.7.1 Japan Data Monetization Market by Component
13.4.7.2 Japan Data Monetization Market by Deployment Type
13.4.7.3 Japan Data Monetization Market By Data Type
13.4.7.4 Japan Data Monetization Market by Enterprise Size
13.4.7. 5Japan Data Monetization Market by Vertical
13.4.8South Korea
13.4.8.1 South Korea Data Monetization Market by Component
13.4.8.2 South Korea Data Monetization Market by Deployment Type
13.4.8.3 South Korea Data Monetization Market By Data Type
13.4.8.4 South Korea Data Monetization Market by Enterprise Size
13.4.8.5 South Korea Data Monetization Market by Vertical
13.4.9 China
13.4.9.1 China Data Monetization Market by Component
13.4.9.2 China Data Monetization Market by Deployment Type
13.4.9.3 China Data Monetization Market By Data Type
13.4.9.4 China Data Monetization Market by Enterprise Size
13.4.9.5 China Data Monetization Market by Vertical
13.4.10 India
13.4.10.1 India Data Monetization Market by Component
13.4.10.2 India Data Monetization Market by Deployment Type
13.4.10.3 India Data Monetization Market By Data Type
13.4.10.4 India Data Monetization Market by Enterprise Size
13.4.10.5 India Data Monetization Market by Vertical
13.4.11 Australia
13.4.11.1 Australia Data Monetization Market by Component
13.4.11.2 Australia Data Monetization Market by Deployment Type
13.4.11.3 Australia Data Monetization Market By Data Type
13.4.11.4 Australia Data Monetization Market by Enterprise Size
13.4.11.5 Australia Data Monetization Market by Vertical
13.4.12 Rest of Asia-Pacific
13.4.12.1 APAC Data Monetization Market by Component
13.4.12.2 APAC Data Monetization Market by Deployment Type
13.4.12.3 APAC Data Monetization Market By Data Type
13.4.12.4 APAC Data Monetization Market by Enterprise Size
13.4.12.5 APAC Data Monetization Market by Vertical
13.5 The Middle East & Africa
13.5.1 The Middle East & Africa Data Monetization Market by country
13.5.2 The Middle East & Africa Data Monetization Market by Component
13.5.3 The Middle East & Africa Data Monetization Market by Deployment Type
13.5.4The Middle East & Africa Data Monetization Market By Data Type
13.5.5 The Middle East & Africa Data Monetization Market by Enterprise Size
13.5.6The Middle East & Africa Data Monetization Market by Vertical
13.5.7 Israel
13.5.7.1 Israel Data Monetization Market by Component
13.5.7.2 Israel Data Monetization Market by Deployment Type
13.5.7.3 Israel Data Monetization Market By Data Type
13.5.7.4 Israel Data Monetization Market by Enterprise Size
13.5.7.5 Israel Data Monetization Market by Vertical
13.5.8 UAE
13.5.8.1 UAE Data Monetization Market by Component
13.5.8.2 UAE Data Monetization Market by Deployment Type
13.5.8.3 UAE Data Monetization Market By Data Type
13.5.8.4 UAE Data Monetization Market by Enterprise Size
13.5.8.5 UAE Data Monetization Market by Vertical
13.5.9South Africa
13.5.9.1 South Africa Data Monetization Market by Component
13.5.9.2 South Africa Data Monetization Market by Deployment Type
13.5.9.3 South Africa Data Monetization Market By Data Type
13.5.9.4 South Africa Data Monetization Market by Enterprise Size
13.5.9.5 South Africa Data Monetization Market by Vertical
13.5.10 Rest of Middle East & Africa
13.5.10.1 Rest of Middle East & Asia Data Monetization Market by Component
13.5.10.2 Rest of Middle East & Asia Data Monetization Market by Deployment Type
13.5.10.3 Rest of Middle East & Asia Data Monetization Market By Data Type
13.5.10.4 Rest of Middle East & Asia Data Monetization Market by Enterprise Size
13.5.10.5 Rest of Middle East & Asia Data Monetization Market by Vertical
13.6 Latin America
13.6.1 Latin America Data Monetization Market by country
13.6.2 Latin America Data Monetization Market by Component
13.6.3 Latin America Data Monetization Market by Deployment Type
13.6.4 Latin America Data Monetization Market By Data Type
13.6.5Latin America Data Monetization Market by Enterprise Size
13.6.6 Latin America Data Monetization Market by Vertical
13.6.7 Brazil
13.6.7.1 Brazil Data Monetization Market by Component
13.6.7.2 Brazil Africa Data Monetization Market by Deployment Type
13.6.7.3Brazil Data Monetization Market By Data Type
13.6.7.4 Brazil Data Monetization Market by Enterprise Size
13.6.7.5 Brazil Data Monetization Market by Vertical
13.6.8 Argentina
13.6.8.1 Argentina Data Monetization Market by Component
13.6.8.2 Argentina Data Monetization Market by Deployment Type
13.6.8.3 Argentina Data Monetization Market By Data Type
13.6.8.4 Argentina Data Monetization Market by Enterprise Size
13.6.8.5 Argentina Data Monetization Market by Vertical
13.6.9 Rest of Latin America
13.6.9.1 Rest of Latin America Data Monetization Market by Component
13.6.9.2 Rest of Latin America Data Monetization Market by Deployment Type
13.6.9.3 Rest of Latin America Data Monetization Market By Data Type
13.6.9.4 Rest of Latin America Data Monetization Market by Enterprise Size
13.6.9.5 Rest of Latin America Data Monetization Market by Vertical
14. Company Profile
14.1 Optiva, Inc.
14.1.1 Market Overview
14.1.2 Financials
14.1.3 Product/Services/Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 Adstra, Accenture Plc.
14.2.1 Market Overview
14.2.2 Financials
14.2.3 Product/Services/Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 Cisco Systems, Inc.
14.3.1 Market Overview
14.3.2 Financials
14.3.3 Product/Services/Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 Reltio.
14.4.1 Market Overview
14.4.2 Financials
14.4.3 Product/Services/Offerings
14.4.4 SWOT Analysis
14.4.5 Gemalto NV
14.5 Dell EMC
14.5.1 Market Overview
14.5.2 Financials
14.5.3 Product/Services/Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 IBM Corporation.
14.6.1 Market Overview
14.6.2 Financials
14.6.3 Product/Services/Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Infosys Limited
14.7.1 Market Overview
14.7.2 Financials
14.7.3 Product/Services/Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 Comviva
14.8.1 Market Overview
14.8.2 Financials
14.8.3 Product/Services/Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 Microsoft Corporation
14.9.1 Market Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 SAP SE.
14.10.1 Market Overview
14.10.2 Financials
14.10.3 Product/Services/Offerings
14.10.4 SWOT Analysis
14.10.5 The SNS View
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
16. USE Cases and Best Practices
17. Conclusion
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