USD 3.5 billion
Report ID:
SQMIG45C2059 |
Region:
Global |
Published Date: September, 2024
Pages:
157
|Tables:
95
|Figures:
76
Data Monetization Market size was valued at USD 3.5 billion in 2023 and is poised to grow from USD 4.18 billion in 2024 to USD 17.13 billion by 2032, growing at a CAGR of 19.3% during the forecast period (2025-2032).
Increasing popularity of digital technology at industrial scale, rising interest for cloud-based data monetization software, growing demand for enhanced supply chain, and the demand for advanced customer relation management is increasing the data monetization market growth. But insufficient IT infrastructure in developing countries and increases in security privacy issues are slowing development of data monetization market. Market growth is anticipated to be driven by a number of factors including increased volume of enterprise data, awareness of data monetization, and external data sources. In addition, increasing acceptance of data processing and artificial intelligence, implementation of data-driven decision methods, and development of big data analytics are predicted to drive the growth during the projected period.
Large number of organizations have been leaning towards data monetization as it can be used to optimize data use, maintain customer loyalty, lower operating costs, increase compliance, increase profitability, improve relationships, and increasing customer experience and satisfaction. As well, data monetization delivers maximum value for products and services, facilitates planning and decision-making processes, enhances collaboration and data sharing between internal and external stakeholders and facilitates the taking of targeted product/service propositions and marketings.
Market snapshot - 2025-2032
Global Market Size
USD 3.5 billion
Largest Segment
Large Enterprises
Fastest Growth
SMEs
Growth Rate
19.3% CAGR
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Global Data Monetization Market is segmented by Component, Data Type, Business Function, Deployment Type, Organization Size, Industry Vertical and region. Based on Component, the market is segmented into Tools and Services. Based on Data Type, the market is segmented into Customer Data, Product Data, Financial Data and Supplier Data. Based on Business Function, the market is segmented into Sales And Marketing, Supply Chain Management, Operations, Finance and Others. Based on Deployment Type, the market is segmented into Cloud and On-Premises. Based on Organization Size, the market is segmented into Large Enterprises and Small And Medium-Sized Enterprises. Based on Industry Vertical, the market is segmented into BFSI, Telecommunication, Consumer Goods And Retail, Information Technology, Healthcare, Manufacturing, Media And Entertainment, Transportation And Logistics, Energy And Utilities and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Based on method, the analytics-enabled platform as a service segment is dominating the market with the largest data monetization market share. Analytics enabled platform as a service has high market demand due to the capacity of the technique to provide customers with flexible data monetization. This methodology is enabled with BI and analytics capabilities and deployed to provide customers real time insights, as well as high versatility. Moreover, it is cloud-agnostic, supports large data sets with diverse data formats and can be deployed on-premises or in the cloud. As a result, demand for this method is expected to remain high as more enterprises invest in cloud-based solutions. However, the only challenge of this method is that analytics enabled platform as a service requires expert assistance to achieve maintenance and installation.
The embedded analytics segment is expected to witness significant demand growth during the forecast period. Embedded analytics can combine existing applications with new abilities such as data visualization, dashboard reporting, and analytics. This paradigm speeds time to market, enables customized embedded analytics solutions, and reduces TCO. Also, embedded analytics builds external and internal data sources using analytics to generate data insights. This approach can work with datasets and give businesses access to real time data for spontaneous insights. With the help of this information companies can make better informed decisions to increase the efficiency of the supply chain and increase customer satisfaction.
Based on organization size, large enterprises segment is dominating the data monetization market. The data monetization market involves various key participants who are well established in the retail, BFSI, and telecom verticals. In addition, global customers are embedded in the value chain for large corporations, as well as across the borders of their whole business. They have adequate technical expertise, business strategies, and capital. There is an increasing demand for advanced technologies, i.e., cloud computing and Artificial Intelligence (AI), in the market. Such emerging technologies can be easily financed by big corporates to ensure business continuity.
As per data monetization market analysis, SMEs segment is expected to be the fastest growing segment. With the increasing use of data monetization by small and medium enterprises (SMEs) to compete in the market, the growth of the segment is expected to be driven by this trend during the forecast period. Also, SMEs are anticipated to suffer from resource constraints leading to business intricacies and the demand to optimise the costs more. Currently, the growing number of cloud-based data monetization solutions is poised to play a key role in not only minimizing operations costs and improving efficiency but, ultimately, boosting the expansion of the segment.
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North America is dominating with the largest data monetization market share. North America demand can be attributed to the large volume of data generated in the region owing to the high internet penetration. In addition, the region's development is strongly driven by investment and adoption of the newest technologies, including those of the cloud computing, big data and analytics, by companies situated in the US and Canada. Growing advancements in big data analytics and continued digital transformation across various industries and industry verticals, including retail, banking, IT telecom, and hospitality, are some of the key factors contributing to the growth of the regional market.
Asia Pacific region is anticipated to witness the highest growth during the data monetization market forecast period. The increasing using of cloud, data analytics and big data solutions in the region are forecasted to drive the market in the region. Also, Asia Pacific is experiencing market expansion for reasons including the fast conversion of businesses to digital, deployment of 5G networks, the rise of IT startup businesses, as is the expansion of data volume. With the growing acceptance of Industry 4.0 in China and the development of a variety of digital technologies such as AI, ML and IoT in hardware and software, market representation is being significantly enriched in China.
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Data Monetization Market Drivers
Increasing Implementation of Data Driven Decision
Organisations are taking the step to use data to make decisive decisions. Organizations using business intelligence software/tools have realized that these processes can enhance profitability and facilitate way to make an improved strategic choice. The growing pressure to provide answers to business inquiries using usable data in different industry sectors is a key motivation behind research in analytics. Data monetization offers tools and techniques for data analysis and processing with the objective of enabling the generation of actionable insights that lead to intelligent decision-making.
Growing Volume of Data Generation
Exponential data production by companies and individuals is dramatically opening opportunities to monetize this data. Increasing amount of data is available across platforms such as transactions, social media, and IoT devices. With this growing volume of data, there are higher opportunities for monetizing and creating business models. With companies eager to take advantage of these data assets, the market for data monetization is set to expand rapidly.
Data Monetization Market Restraints
High Security Concerns Related to the Data Platforms
Security risks and data platform fraud present major hurdles to the market share achieved by the data monetization market. Due to the high cost and the nature of data assets, they experience a multitude of possible risks, such as cyber-attacks, data leaks, data fraud, data loss and exploitation. Robust data security and privacy are essential for successful data monetization.
Lack of Organizational Structure and Regulations
Constraints expected to limit the use of data monetization tools are expected to include barriers related to deficiency of appropriate roles and responsibilities, poor organizational processes, lack of management emphasis and support, and the absence of procedures and quality metrics. It is not enough to give employees a correct data set and the suitable tools. They also need to be informed about organizational culture and structure, necessary skills, process and routine required to ensure the success of the selected data monetization business model.
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The global data monetization industry is in the growth phase and the market is concentrated. There has been a tremendous market opportunity in big data, and data segmentation industries. Global business enterprises are investing in alliances, collaborations, mergers, and acquisitions of portfolio data monetization solutions for their own strategic needs. Due to stringent environmental regulations and related legal issues concerning data privacy, mergers in this market for data monetization is almost non-existent. Each data monetization company owns its own exclusive data and database which differs from other providers and hence, a smaller number of alternative service providers are available in the market.
SkyQuest's ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, growing digitisation and exponentially increasing generation of data will lead to a growing need for data monetization on a global scale. In addition, cloud migration technological evolution in SMEs, and continuous evolution of workforce management strategy in the developing countries are contributing factors to the market growth. However, data format diversity and data complexity are expected to make the data monetization demand perspective less appealing in the short term. Moreover, key players are also paying attention to improve their efficiency and operations to be competitive on the market and this is expected to offer profitable chances for increasing the data monetization market size during the forecast period.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 3.5 billion |
Market size value in 2032 | USD 17.13 billion |
Growth Rate | 19.3% |
Base year | 2024 |
Forecast period | 2025-2032 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Data Monetization Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Data Monetization Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Data Monetization Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Data Monetization Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Data Monetization Market size was valued at USD 7.53 Billion in 2023 and is poised to grow from USD 8.34 Billion in 2024 to USD 18.8 Billion by 2032, growing at a CAGR of 10.70% during the forecast period (2025-2032).
The global data monetization industry is in the growth phase and the market is concentrated. There has been a tremendous market opportunity in big data, and data segmentation industries. Global business enterprises are investing in alliances, collaborations, mergers, and acquisitions of portfolio data monetization solutions for their own strategic needs. Due to stringent environmental regulations and related legal issues concerning data privacy, mergers in this market for data monetization is almost non-existent. Each data monetization company owns its own exclusive data and database which differs from other providers and hence, a smaller number of alternative service providers are available in the market. 'Microsoft (US) ', 'Oracle (US) ', 'Salesforce (US) ', 'SAS (US) ', 'TIBCO Software (US) ', 'IBM (US) ', 'Qlik (US) ', 'SAP (Germany) ', 'ThoughtSpot (US) ', 'Sisense (US) ', 'Domo (US) ', 'Accenture (Ireland) ', 'Infosys (India) ', '1010data (US) ', 'Reltio (US) ', 'DataRobot (US) ', 'NETSCOUT (US) ', 'Adastra (Canada) ', 'Optiva (Canada) ', 'Comviva (India)'
Organisations are taking the step to use data to make decisive decisions. Organizations using business intelligence software/tools have realized that these processes can enhance profitability and facilitate way to make an improved strategic choice. The growing pressure to provide answers to business inquiries using usable data in different industry sectors is a key motivation behind research in analytics. Data monetization offers tools and techniques for data analysis and processing with the objective of enabling the generation of actionable insights that lead to intelligent decision-making.
Implementation of AI and ML for Data Processing: Due to the generation of huge quantities of data and the real-time requirement for processing this data, organizations have been driven to implement new technologies including AI, IoT, machine learning and deep learning. Companies are increasingly leaning toward using BI tools since they are very useful in the collection and processing of massive amounts of data. Data monetization solutions can handle tremendous amount of data with the help of BI tools and make it possible to extract useful information.
North America is dominating with the largest data monetization market share. North America demand can be attributed to the large volume of data generated in the region owing to the high internet penetration. In addition, the region's development is strongly driven by investment and adoption of the newest technologies, including those of the cloud computing, big data and analytics, by companies situated in the US and Canada. Growing advancements in big data analytics and continued digital transformation across various industries and industry verticals, including retail, banking, IT telecom, and hospitality, are some of the key factors contributing to the growth of the regional market.
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Report ID: SQMIG45C2059
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