PUBLISHER: Grand View Research | PRODUCT CODE: 1493437
PUBLISHER: Grand View Research | PRODUCT CODE: 1493437
The global data monetization market size is expected to reach USD 16.05 billion by 2030, registering a CAGR of 25.8% during the forecast period, according to a new report 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.