The global GPU database market is predicted to reach USD 0.65 billion in 2024 and USD 1.67 billion by 2029, growing at a CAGR of 20.7% during the forecast period.
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 databases handle 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.
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 their consumers' buying behavior, understand market dynamics and trends, forecast demand and supply, and identify service issues, bottlenecks, and performance concerns in the service chain.
GPU databases can offer businesses a significant advantage by facilitating their supply chain operations and enabling them to optimize them 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.
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 databases 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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REPORT METRIC |
DETAILS |
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Market Size Available |
2023 to 2029 |
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Base Year |
2023 |
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Forecast Period |
2024 to 2029 |
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CAGR |
20.7% |
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Segments Covered |
By Tool, Deployment, Application, Vertical, and Region |
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Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
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Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
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Market Leaders Profiled |
IBM Corporation, Fair Isaac Corporation, Pegasystems Inc., Oracle, Broadcom, Red Hat Inc., SparklingLogic, OpenText Corp, Software AG, SAS Institute Inc., and ACTICO GmbH are some of the main competitors currently operating in the systems market. Newgen Software Technologies Limited, FUJITSU, Intellileap Solutions, Signavio, Agiloft Inc., Decisions LLC, Business Rule Solutions LLC., Experian Information Solutions Inc., TIBCO Software Inc., SAP SE, Robert Bosch GmbH, InRule Technology Inc., and Others. |
The market is segmented into GPU-accelerated databases and GPU-accelerated analytics.
The GPU database is segmented on-premises and in the cloud.
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.
The global market is segmented into BFSI, Retail and e-commerce, Healthcare, IT and telecommunications, Transportation and logistics, Government, Aerospace and defense, and Others.
Based on 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 and 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 and the widespread awareness of these solutions in the region should help the region 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 and new technologies in weather forecasting. Banking sectors in countries like India, Japan, and China. There is a 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.
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.
By Tools
By Application
By Deployment Mode
By Vertical
By Region
Frequently Asked Questions
The main advantages include significantly faster query performance, the ability to handle large-scale data analytics and machine learning workloads, reduced time-to-insight, and improved efficiency in processing complex computational tasks.
Industries such as finance, healthcare, retail, telecommunications, and tech companies benefit significantly from GPU databases. These industries often require real-time data processing, complex analytics, and large-scale machine learning capabilities.
GPU databases can outperform traditional CPU-based databases by an order of magnitude in certain tasks, particularly those involving large-scale data processing and complex analytics. The parallel processing power of GPUs allows them to handle multiple operations simultaneously, resulting in faster query execution times.
Yes, there are open-source GPU database options available. One notable example is OmniSci (formerly MapD), which offers an open-source version of its GPU-accelerated analytics platform. These options can be a cost-effective way for organizations to explore GPU databases before committing to commercial solutions.
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