Global Data Marketplace

There are several major problems in the current global data landscape. Mainly, data lacks sufficient detail, is compromised, incomplete or too narrow in its scope.

Thereby, current monetization models revolve around pay-per-click, lead generation, and other ways - all of which are limited by the quality of the data that can be generated.

The opportunity to create advanced data assets would allow for a massively expanded total addressable market. Namely, previous data monetization attempts mostly fail to acknowledge the data's potential as the main component for AI models.

The ability to gather high-quality and advanced data can be monetized in a lucrative way, thanks to the additional value new AI models over the upcoming decade.

In the next decade, with the continuous development of artificial intelligence technology, new AI models will not only be able to make breakthroughs in the accuracy of processing and analyzing data, but also collect and utilize high-quality data through their unique capabilities, thereby bringing considerable economic benefits. Data has become the core asset of the modern economy, especially in the fields of finance, medical care, retail, etc. The high quality and advancement of data will directly affect the training effect and prediction accuracy of AI models.

The new generation of AI models will be able to more efficiently collect and integrate data from different channels, including Internet of Things (IoT) devices, user behavior data, social network data, and sensor data. These data sources not only contain a large amount of user behavior patterns, market dynamics, and even health information, but also with the continuous optimization of data acquisition technology, future data will be more accurate, comprehensive, and real-time.

AI models can bring added value to enterprises at multiple levels through the analysis and learning of these advanced data. For example, in the financial industry, AI can provide personalized financial services through in-depth analysis of customer transaction behavior; in the medical industry, by analyzing medical record data, it helps doctors diagnose diseases more accurately and even develop new treatment plans. At the same time, the monetization of data also provides companies with data resources with new sources of income, and further realizes profitability by sharing data with other companies or providing data-based services.

Industry	Data asset type	Monetization Model
Smart Finance	Holographic portrait of customer behavior	Dynamic credit pricing engine
Smart Healthcare	Genome + Electronic Medical Records	Precision diagnosis and treatment SaaS
Smart City	Traffic flow data	Municipal planning consulting services
Smart Manufacturing	Equipment vibration data	Predictive Maintenance Subscription

With the development of AI technology and the improvement of data governance systems, the monetization model of data will become more diversified and flexible in the future. Enterprises can not only make profits by directly selling data or services, but also occupy an important position in the entire data ecosystem by providing AI solutions and customized data analysis services to other enterprises.

Under current market conditions, Blexa aims to create a market opportunity for a global data marketplace based on a digital blockchain.