GPU Database Market

Global GPU Database Market Analysis Size & Growth (2021 – 2026)

The global GPU database market is foreseen to develop from $ 254 million in 2019 to $ 655 million in 2025, at a compound annual growth rate (CAGR) of 20.7% during the envisioned period of 2020 to 2025.

The GPU database uses a graphics processing unit to perform database operations, unlike the CPU. These are faster and relatively flexible in handling large volumes and amounts of data. The growing demand for high-performance computing is driving the growth of the global GPU database market. Furthermore, the wide availability of open source solutions further strengthens the market landscape for major players.

GPU database handles large volumes of data faster and more efficiently than processors because they run in parallel, rather than in sequence. GPUs accelerate memory and location scans, machine learning, and artificial intelligence. Aggregation, classification and grouping operations require a lot of workload for a processor, but they can be efficiently run in parallel in a GPU database.

Recent developments:

• In June 2018, Kinetica collaborated with Dell EMC OEM solutions to offer an integrated solution to develop a data platform capable of correlating massive data sets between users, digital objects, and edge devices. The joint solution from Kinetica and Dell EMC enables companies to process large data sets and create actionable insights by combining hardware acceleration with the NVIDIA GPU-accelerated database, machine learning, and display engine.
• In April 2018, OmniSci launched MapD Cloud, a GPU-accelerated analytics SaaS offering. It would help users access the faster open source SQL engine and visual analytics platform.
• In October 2018, NVIDIA launched an open source GPU acceleration software platform for machine learning and data science. Provides data scientists with the tools to run a GPU data science pipeline. Additionally, in April 2018, OmniSci launched a GPU-accelerated SaaS analytics offering called MapD Cloud. It helps its users access the fastest open source SQL engine and visual analytics platform.

Impact of Covid-19 on GPU Database Market:

COVID-19 had a significant impact on the global economy by directly affecting the manufacturing and demand, disruption in supply chain, and financial impact on companies. The COVID-19 outbreak has had an impact in many aspects, such as flight cancellations, travel bans and quarantines, closed restaurants, limited interior events, state of emergency in more than 40 countries, massive recession in the supply chain, stock market volatility, declining business confidence, growing panic among the population and uncertainty about the future.

Growth and Market trends:

The GPU Database Tools segment is further divided into GPU Accelerated Databases and GPU Accelerated Analysis. GPU database market vendors offer a variety of GPU-accelerated databases and analytics tools to meet the diverse data and analytics requirements of organizations across industries and applications. Organizations are looking for data and analytics solutions to effectively use the data generated to increase their operational efficiency and maximize their value proposition to gain an advantage in the highly competitive business environment.

GPU-accelerated databases, with their notable brute-force computing power, can generate a large amount of customer information from various sources. Businesses can analyze this data and gain real-time insight into the buying behavior of their consumers, understand market dynamics and trends, forecast demand and supply, and identify service issues and bottlenecks, and performance concerns in the service chain.

GPU databases can offer a significant advantage to businesses by facilitating their supply chain operations and enabling them to optimize it by providing real-time location information throughout the supply chain. Many companies have digitized their businesses and field operations and are rapidly adopting cutting-edge technologies, including a mobile workforce, fleets equipped with sensors, artificial intelligence-assisted workstations and vehicles and automated drones.

Market Drivers and Restraints:

The prominent aspects of the global GPU database market comprises huge data generation in verticals like BFSI, retail, and media and entertainment sectors. In addition to this, the massive use of GPU Database for GRC, fraud identification and prevention, threat intelligence, SCM, and CEM is likely to drive the market trends for GPU Database in the years to come. The massive popularity of databases and GPU accelerated tools in banks, insurance companies and many other financial institutions will contribute significantly to the GPU database market revenues in the years to come. With the start of the supercomputer, the demand for GPU database is gaining momentum around the world for efficient data analysis and accurate results.

The launch of GPU-accelerated tools has made operations easier, enabling fast data processing operations and real-time analysis. These tools help businesses perform risky calculations and simulations in real time. Parallel computing with GPU applications should help businesses monitor irregularities in different transaction streams and record data. All of these aforementioned factors are likely to further drive the growth trajectory of the global GPU Database market in the coming years.

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GLOBAL GPU DATABASE MARKET REPORT COVERAGE:

Global GPU Database Market segmentation:

Global GPU Database Market By Tools:

 the market is segmented into GPU-accelerated databases and GPU-accelerated analytics.

Global GPU Database Market By deployment:

 the GPU database is segmented on-premises and in the cloud.

Global GPU Database Market By Application:

 the market is segmented into Governance, Risk & Compliance, Threat Intelligence, Customer Experience Management, Fraud Detection and Prevention, Predictive Maintenance, Supply Chain Management, etc. Of these, CEM and SCM segments are foreseen to expand with a considerable CAGR in the foreseen period.

Global GPU Database Market By Vertical:

 the global market is segmented into BFSI, Retail & E-commerce, Healthcare, IT & Telecommunications, Transportation & Logistics, Government, Aerospace & Defense, and Others.

Regional Analysis:

Based on the geography, the global GPU database market can be divided into five major regions: North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Of these, North America dominated the worldwide market because of the early adoption of GPU-accelerated tools, as well as significant initiatives taken by industry players in the form of partnerships with different technology players to offer rapid solutions for data analysis and processing. The strong presence of GPU database vendors in countries like the United States, as well as the widespread awareness of these solutions in the region, should help the region to maintain its largest market share over the forecast period.

The GPU database market in Asia-Pacific is also likely to experience lucrative growth in the coming years, subject to the massive use of supercomputers for weather forecasting and the massive use of new technologies in weather forecasting. banking sectors in countries like India, Japan and China. need for secure solutions in a myriad of financial institutions in these emerging economies. Countries like Germany and the UK are expected to drive growth in the GPU database market in Europe in the predicted years.

Key players in the market:

Major players in the global GPU database market include Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, Jedox, HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, Anaconda, and Graphistry.