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3. New product launches and upgradations; and partnerships, agreements, and collaborations have been the majorly adopted strategies by the leading players to innovate their offerings and expand their reach in GPU Database Market

The global GPU database market size is expected to grow from USD 178 million in 2018 to USD 455 million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.7% during the forecast period. Key factors for the GPU database market growth include massive data generation across BFSI, retail, and media and entertainment industries.

Major vendors offering GPU database globally include 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). The study includes an in-depth competitive analysis of the key players in the GPU database market, along with their company profiles, recent developments, and key market strategies. The players in this market have embraced different growth strategies to expand their presence and market shares. New product launches and upgradations; and partnerships, agreements, and collaborations have been the majorly adopted strategies by the leading players to innovate their offerings and expand their reach.

To know about the assumptions considered for the study download the pdf brochure

Kinetica is a privately held company headquartered in California, US. It is a provider of GPU accelerated in-memory database for analytics, advanced analytics and machine learning, visual data discovery, and location-based analytics solutions across verticals, such as finance, advertising, logistics, healthcare, energy, retail, government, and telecommunications. Kinetica is a distributed, in-memory, GPU database platform with advanced filtering, visualization, and aggregation capabilities. It stores and organizes data like a standard Relational Database Management System (RDBMS). Kinetica released a new version of its GPU Database with new geospatial capabilities and enterprise-grade features, such as compression, dictionary encoding, enhanced process management, and security to support real-time applications including location-based analytics, risk and fraud, and Internet of Things (IoT).

SOream is a privately held company headquartered in New York, US with a R&D center in Tel Aviv, Israel. The company provides a GPU-accelerated data warehouse suitable for high-performance computing and catering to multiple verticals, such as retail, telecommunications, finance, genome research, cybersecurity, marketing, and advertising. SQream DB is a fully-featured GPU-accelerated data warehouse suitable for high-performance computing. It can be integrated with standard or customized BI tools through available drivers and connectors, including ODBC, JDBC, Python, Node.JS, Spark, R, Java, and C++. The key features of SQream DB include the ANSI-structured query language (SQL) support, Atomicity, Consistency, Isolation, and Durability (ACID) compliance, AI-assisted auto-compression, advanced SQL support, and optimized for AI and machine learning.

Related Reports:

GPU Database Market by Application (GRC, Threat Intelligence, CEM, Fraud Detection and Prevention, SCM), Tools (GPU-accelerated Databases and GPU-accelerated Analytics), Deployment Model, Vertical, and Region - Global Forecast to 2023

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