Globally, the market was estimated to cover a market value of USD 195.3 million which is expected to extend to USD 462.11 Billion during the GPU database market forecast period ranging from 2030. Moreover, it occupies a CAGR value of 31.10%. With the rise in volumes of data generation, there is a need for carrying out high-performance computing services for allowing the applications to run in an efficient manner. This has increased the demand for GPU databases. It being a programmable processor provides high-resolution videos and certain images. GPU has a special feature majorly a parallel processing capability where enormous data can be processed in very less time.
The databases use GPUs for carrying out certain database operations. These have been used for big data, machine learning purposes, and artificial intelligence. CPUs are not used for deep learning tasks as numerous cores are required for such activity to be performed in a parallel manner. It solves the challenge of parallel processing and is severely cost-efficient. Some of the other factors include the need for cyber security, detection of fraudulent activities and some of the insights about the real-time data encourages up the GPU database market size. These databases are easily accessible to work with fast class datasets which are launched from sources like IoT and certain business transactions. The advanced technology of GPU helps in dealing with complex issues.
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
The outburst of COVID affected the manufacturing of database solutions. The pandemic has affected and has disrupted the supply chain and the GPU database market growth. It affected the value chain analysis and had a financial impact on certain companies. The outbreak had impacted the cancellations of flights, banning travel plans, pertaining to quarantines, closure of restaurants, limitation in the interior events, a massive recession, to the adoption of emergency rate in more than 40 countries, volatility of the stock market, declination in business confidence, creating a panic situation among the population along with uncertainty in future.
Regionally, the global market is estimated to grow at an influential rate during the GPU database market forecast period. From the GPU database market outlook, it was found that geographically the market extended to the regions of North America, some of the European region, the Asia Pacific region, and some regions in the rest of the world. The North American region is expected to dominate the whole of the Nation. The North American region covers a major market share thus owing to the adoption of certain database solutions. Initiatives so taken by certain vendors collaborate with certain technologically based key players. The United region and some Canadian regions are some of the key players adopting verticals across various areas. The rise in the growth of adoption of artificial intelligence along with the rising need for analysis of great volumes of data along with machine learning abilities prompts up the GPU database market size. The presence of certain key vendors like Nvidia, OmniSci, and Kinetics promotes market growth. Some of the North American region followed by the European region is expected to cover a high growth rate. Asia Pacific region is found to grow at a large rate covering a high CAGR value.
Certain key vendors are working on putting certain strategies and playing certain organic growth plans where it launches new products that help in rising up the GPU database market size. The key vendors playing in the market are classified on the basis of origin, based on a different region, some of the recent developments, diversification of product, and experts on industry.
Some of the vendors here are:
Some of the other competitors who help in pushing up GPU database market growth are
These competitors provide certain database solutions against fraud detection, retail and e-commerce units, some time for maintaining supply chain analysis, research on genomics, and many more. Some of the countries of Germany and the United Kingdom have led to the usage of the database.
NVIDIA in October 2018, launched GPU acceleration software for carrying out machine learning and data science projects. It uses data sciences to run science pipelines on GPUs.
OmniSci in April 2018, discovered SaaS and had offered a GPU analytic called NapD cloud. It helps the users to access in a better way and in the fastest way the source SQL engine and the visual analytics platform.
Kinetics in June 2018, in partnership with Dell EMC, has offered certain integrated solutions and developed certain database platforms for correlating the massive database units with digital things. Their joint venture creates datasets and certain actionable insights on combining their so manufactured hardware with a database along with a visualization engine.
The report signifies the market study which aims at estimating the size expansion and rise in growth potential helping in market expansion across various growth segments. The report signifies that the entrepreneurs can analyze the consumer's behavioral aspect. It analyzes high-performance computing ability which is crucial to retail, e-commerce units, telecom, and BFSI units. The report signifies the factors prevalent during the GPU database market forecast period. It signifies the volume of transfer of data in a sequential and in parallel manner. It is very much important to solve the complex analysis in a given period of time. The report gives a detailed analysis about the export-import business, the trade regulations, certain new developments, the market share so covered by the vendors, certain new strategic growth regulations, product approvals, the geographic expansions so made. The report signifies the impacting factors on the GPU database industry. The report signifies the downstream and upstream value chain analysis. The presence of certain global brands and the challenges so faced by the market during the forecast period is analyzed here. It even signifies the different segments playing a major role in the market.
| Report Attribute/Metric | Details |
| Market Size | USD 462.11 Billion |
| CAGR | 31.10% |
| Base Year | 2021 |
| Forecast Period | 2022-2030 |
| Historical Data | 2020 |
| 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. |
GPU Database Market Highlights:
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 USD 462.11 Billion 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.
Senior Research Analyst Ankit gupta is an analyst in market research industry in ict and semi industry. with post-graduation in "telecom and marketing management" and graduation in "electronics and telecommunication" vertical he is well versed with recent development in ict industry as a whole. having worked on more than 150+ reports including consultation for fortune 500 companies such as microsoft and rio tinto in identifying solutions with respect to business problems his opinions are inclined towards mixture of technical and managerial aspects.
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