Abstract: Building upon the foundation of the traditional“Internet of People,”technological innovations such as the Internet of Things (IoT) have expanded the sources of data beyond consumers to include a broader range of entities throughout the entire lifecycle of products in the real economy. Consumer data encapsulates rich information on preferences, demand tendency, and behavioral patterns. Through in-depth mining and analysis of such data, firms can accurately identify shifting market demands, thereby optimizing resource allocation, adjusting production structures accordingly, and achieving more efficient combinations of production factors -- all of which contribute to enhanced productivity. In contrast, producer data carries critical parameters during the production process, encompassing dimensions such as manufacturing techniques, quality standards, and cost control. By analyzing and leveraging this data, firms can identify potential avenues for product enhancement, drive iterative innovation, and continuously improve product performance and quality. The effective and coordinated use of both consumer and producer data can significantly accelerate economic growth. The magnitude of this growth is contingent upon the degree of synergy between the two types of data. Governments should play an active guiding role by encouraging enterprises to accumulate and utilize producer data, and by promoting the coordinated development and application of both consumer and producer data. Breaking down data barriers and facilitating the efficient flow and integration of data as a production factor within economic activities can substantially enhance the rate of economic growth and improve overall social welfare, thereby fostering high-quality and sustainable economic development.

Key words: consumer data, producer data, economic growth, integration of digital economy and real economy