GPU databases can handle massive amounts of data much more quickly and efficiently than CPU databases because they operate in parallel rather than in sequence. GPUs speed up location-based and in-memory analytics, artificial intelligence, and machine learning. A single graphics card may accommodate thousands of computing cores, allowing for the use of raw force to perform complicated analytical tasks that are difficult for traditional databases to handle.
GPUs are in high demand because they are efficient at solving the issue of parallel processing and are thus more cost-effective. Other factors, such as the necessity for cyber security, the detection of fraud, and the provision of real-time data insight, are also contributing to the expansion of this industry.The increasing use of GPU Databases in the telecommunications and information technology sectors is one of the key reasons fueling the expansion of the worldwide GPU Database market in recent years. Customer loyalty is increased via the use of GPU-accelerated technologies, which are widely utilised in the telecommunications and information technology sectors to decrease churn rate, improve services, and increase customer loyalty.
The worldwide GPU database industry is seeing a fast increase in investment from emerging countries. In the world of GPU Database tools, countries such as India, China, and Japan are among the most active users.It is possible to produce high-resolution pictures and movies with the assistance of a programmable processor, known as a GPU. GPGPUs are capable of parallel processing, allowing them to handle large amounts of data in a short period of time. For the sake of database operations, GPU databases make use of graphics processing units (GPUs). Large amounts of data, artificial intelligence (AI), and machine learning are processed via them.
Request for a sample report: https://whipsmartmi.com/sample/ic0770/GPU-database-Market
Key Driving Factors: Rise in the demand for GPU databases
Massive data production across the BFSI, retail, and media and entertainment sectors are the primary drivers driving the GPU Database industry. Additionally, the widespread use of GPU databases for governance, risk, and compliance, fraud detection and prevention, threat intelligence, supply chain management, and customer experience management is expected to drive the GPU Database market trends in the approaching years. The enormous popularity of GPU-accelerated databases and tools in financial institutions such as banks, insurance companies, and a variety of other financial institutions will contribute significantly to the growth of the GPU Database market in the future years. With the introduction of supercomputers, the need for GPU databases has grown in popularity across the globe, allowing for more effective data analytics and the production of more accurate results.Parallel computing with GPU applications is expected to aid businesses in the monitoring of anomalies in various streams of transactions and log data in the future. All of the aforementioned reasons are expected to have a positive impact on the development trajectory of the GPU Database market in the years to come.
Key Driving Factors: The sector is expected to see considerable expansion in the next few years.
The introduction of GPU-accelerated tools has simplified processes, allowing for faster data processing activities and real-time analyses to be performed. Real-time calculations and simulations are made possible by these technologies, which assist businesses in reducing risk.The increasing use of GPU Databases in the telecommunications and information technology sectors is one of the key reasons fueling the expansion of the worldwide GPU Database market in recent years. Customer loyalty is increased via the use of GPU-accelerated technologies, which are widely utilised in the telecommunications and information technology sectors to decrease churn rate, improve services, and increase customer loyalty. The worldwide GPU database industry is seeing a fast increase in investment from emerging countries. In the world of GPU Database tools, countries such as India, China, and Japan are among the most active users.
This GPU database report offers the major market player’s profiles, such as Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US), BlazingDB (US), Zilliz (China), Jedox (Germany), HeteroDB (Japan), H2O.ai (US), FASTDATA.io (US), Fuzzy Logix (US), Anaconda (US), and Graphistry (US).
Based on application:
Based on application and tools, the worldwide GPU Database market may be segmented. GRC, CEM, Threat Intelligence, SCM, and Fraud Detection and Prevention are some of the applications that the GPU Database market can be divided into. GPU-accelerated databases and GPU-accelerated analytics are two types of technologies that may be used to segment the market. Fraud control and mitigation, governance, risk, and compliance (GRC), customer service management, preventive analytics, operations management, intrusion prevention, and other applications are some of the market's sub-categories of technology.
The GPU database Market report has been categorized as below:
Fraud Detection and Prevention
Retail and eCommerce
Healthcare and Pharmaceuticals
Telecommunications and IT
Transportation and Logistics
Government and Defense
● North America
● Asia Pacific
● Rest of WorldAccess to Full Report Summary: https://whipsmartmi.com/report/gpu-database-market
Published Date : September-2021