The global GPU database market is expected to grow at a significant CAGR during the forecast period. The term GPU database stands for graphics processing unit’s database and it is a relational or non-relational operation. The GPU database acts more efficiently, faster and is geared towards analytics, artificial intelligence and machine learning based on location and in-memory segments. This system works in a parallel mode rather than sequence to commit high-performance and functionality over CPUs.
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The massive increase in the data generation rate among BFSI, media & entertainment and retail sectors, increasing demand for GPU accelerated tools and databases across banking, financial institution and insurance firms are the most significant dynamics that are expected to drive the market growth of the global GPU database market during the forecast period.
Furthermore, the growing implementation of machine learning and artificial intelligence propel the demand for GPU databases to enhance performance whereas, rising application area and ease of open source solution availability are anticipated to fuel the market growth of the global GPU database market. The growing mobility trends and rising internet of things (IoT) for better operations and productivity is anticipated to drive the market growth of the global GPU database market. Additionally, among various data-intensive verticals, the demand for large volume data analyzer and high-performance computing solutions are gradually increasing that are augmented to create ample growth opportunities for the global GPU database market and boost its growth during the forecast period.
Market Coverage
- The market number available for – 2020-2027
- Base year- 2020
- Forecast period- 2021-2027
- Segment Covered-
o By Component
o By Deployment
o By Application
o By Industry Vertical
- Competitive Landscape- Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt.
Key questions addressed by the report
- What is the market growth rate?
- Which segment and region dominates the market in base year?
- Which segment and region will project fastest growth in the market?
- How COVID-19 impacted the market?
o Recovery Timeline
o Deviation from pre-COVID forecast
o Most affected region and segment
- Who is the leader in the market?
- How players are addressing challenges to sustain growth?
- Where is the investment opportunity?
Global GPU Database Market by Segment
By Component
- Tools
- Services
By Deployment
- On-Premise
- Cloud
By Application
- Governance
- Risk and Compliance
- Customer Experience Management
- Threat Intelligence
- Fraud Detection and Prevention
- Predictive Maintenance
- Supply Chain Management
- Others
By Industry Vertical
- BFSI
- Retail and Ecommerce
- Healthcare and Pharmaceuticals
- Telecommunications and IT
- Transportation and Logistics
- Government and Defense
- Others
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GPU Database Market– Segment by Region
North America
- United States
- Canada
Europe
- Germany
- United Kingdom
- France
- Spain
- Italy
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
Rest of the World
- Middle East & Africa
- Latin America
Company Profiles
- Kinetica
- OmniSci
- SQream
- Neo4j
- NVIDIA
- Brytlyt
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