With the ever-increasing generation of large data volumes from varied sources, the need for faster data processing is rapidly growing to improve and personalize the consumer experience. Data analysis has been in practice for a long time and has significantly empowered the technology industry. As enterprises are struggling to keep up with the speed and scale of data generated by numerous business applications and new varied data sources, machine learning and deep learning have emerged as disruptive technologies enabling enterprises to automate and visualize their data and analytics processes and deep dive into their big data repositories. These technologies significantly add value to the business, reducing the time, technical, and human resources consumed while using traditional tools and methods. The GPUs significantly speed up processing that can be parallelized. They further build arrays of database each on separate servers and then use master node (CPU) to assign queries to each database, thus speeding the entire process.
The application SCM segment is projected to grow at the highest CAGR in the GPU Database Market. The GPU databases can provide a significant advantage to enterprises by facilitating their supply chain operations and enabling them to optimize it by providing real-time, location-based insights across the entire supply chain. Most enterprises have digitalized their enterprise and field operations and are rapidly adopting advanced technologies, including mobile workforce, sensors-equipped fleets, AI-assisted workstations and automated vehicles, and drones. This digitalization has led to the generation of a massive amount of data in different forms and is rapidly exceeding the expectation of enterprises.
The retail and eCommerce vertical is projected to grow at the highest CAGR in the GPU database market. Advanced models, such as predictive analytics, are deployed to understand customers to improve their shopping experience. Retailers are facing challenges from ever-increasing competition. Hence, they are focusing on optimizing their performance. Retailers can maximize their profits by adjusting the price of goods based on real-time inventory levels. Moreover, they can track the real-time sales data at a point of sale (POS) and accordingly can manage the inventory over shelves. Advanced GPU accelerated analytics enables 360° customer profile analyzing customer attributes, such as facial recognition, purchase behavior, visit behavior, lifestyle, and merchants visited at physical locations.