ID: MRFR/ICT/5875-HCR | February 2021 | Region: Global | 100 pages
Global GPU database market was valued at USD 195.3 million in 2017 and is expected to reach USD 562.3 million by the end of forecast period with a CAGR of 19.28%.
With the large volumes of data generation, there is increasing need for high performance computing for running the applications efficiently. This has created the demand for GPU (graphics processing unit) database. The GPU, a programmable processor, helps in providing high resolution images and videos. GPUs have parallel processing capabilities which can process enormous data in a very less timeframe. GPU databases use GPUs for performing database operations. These are used for big data, artificial intelligence (AI), and machine learning. CPUs are not applicable for deep learning tasks as they require a number of cores for running simple calculations in parallel which tends to be cost prohibitive. There is a high demand for GPU as it solves the challenge of parallel processing and is also cost efficient. Other factors such as need for cyber security, fraud detection and real-time data insights are also boosting up the growth of this market. GPU databases makes it easy to work with large or extremely fast data sets which are generated from sources such as IoT and business transactions. The advanced computing of GPU eases the process of dealing with complex queries.
The market players are focusing on collaboration and product launches to tap the growing demand of GPU databases market. For instance, in October 2018, NVIDIA introduced an open source GPU-acceleration software platform for machine learning and data science. It provides data scientists with tools to run data science pipeline on GPUs. Also, in April 2018, OmniSci launched a SaaS offering of GPU-accelerated analytics called MapD Cloud. It helps its users to access the fastest open source SQL engine and visual analytics platform.
By component, the market is segmented into tools and services. The tools segment is further bifurcated into GPU-accelerated databases and GPU-accelerated analytics. The services segment is further segmented into consulting services, and support and maintenance services.
By deployment, GPU database is segmented into on-premise and cloud. By application, the market is segmented into governance, risk, and compliance, threat intelligence, customer experience management, fraud detection and prevention, predictive maintenance, supply chain management, and others. By vertical, the market is segmented into BFSI, retail and ecommerce, healthcare, IT and telecommunications, transportation and logistics, government, aerospace and defense, and others.
The global market for GPU database is estimated to grow at a significant rate during the forecast period from 2018 to 2023. The geographical analysis of GPU database market is studied for North America, Europe, Asia-Pacific, and the rest of the world (including the Middle East, Africa, and Latin America). Among the regions mentioned, North America is expected to dominate the GPU database market. Increasing need for analysis of large volumes of data along with rapid growth of artificial intelligence and machine learning in this region contributes to its largest share. Moreover, presence of leading market players such as Nvidia, Kinetica, and Omnisci is boosting the growth of GPU database market in this region. North America is followed by Europe in the GPU database market. Asia-Pacific region is expected to grow at the highest CAGR during the forecast period.
The global GPU database market was valued at USD 195.3 million in 2017 and is expected to reach USD 562.3 million by the end of the forecast period with a CAGR of 19.28%.
The key players in the GPU database market are identified across all the major regions based on their country of origin, presence across different regions, recent key developments, product diversification, and industry expertise. Some of them are – Nvidia Corporation (US), Kinetica DB Inc. (US), OmniSci, Inc. (US), Neo4j, Inc. (US), Brytlyt (UK), BlazingDB, Inc. (US), Zilliz (China), SQream (US), Jedox AG (Germany), and HeteroDB, Inc. (Japan). These players contribute a major share in the growth of GPU database market.
Apart from the top key players, there are other players that contribute to the market growth. These include Blazegraph (US), H2O.ai (US), FASTDATA.io (US), Fuzzy Logix Inc. (US), and Graphistry (US), and others.
|Forecast Units||Value (USD Million)|
|Report Coverage||Revenue Forecast, Competitive Landscape, Growth Factors, and Trends|
|Segments Covered||by Tools, by Services, by Deployment|
|Geographies Covered||North America, Europe, Asia-Pacific, and Rest of the World (RoW)|
|Key Vendors||Nvidia Corporation (US), Kinetica DB Inc. (US), OmniSci, Inc. (US), Neo4j, Inc. (US), Brytlyt (UK), BlazingDB, Inc. (US), Zilliz (China), SQream (US), Jedox AG (Germany), and HeteroDB, Inc. (Japan).|
|Key Market Opportunities||The need to figure out parallel processing problems is expected to restrict the market’s growth.|
|Key Market Drivers||The factors such as need for cyber security, fraud detection and real-time data insights are also boosting up the growth of this market.|
Frequently Asked Questions (FAQ) :
The need to figure out parallel processing problems is expected to restrict the market’s growth.
The support of GPU database in supplementing artificial intelligence (AI), big data, and machine learning is estimated to benefit the market.
USD 562.3 million is expected to be gained by the global market in the course of the forecast period.
Neo4j, Inc. (US), Brytlyt (UK), OmniSci, Inc. (US), SQream (US), BlazingDB, Inc. (US), Jedox AG (Germany) and Zilliz (China) are expected to promote the market in the forecast period.
The North American region is perceived to take control of the market in the forecast period.