A GPU Database is a database, relational or non-relational, that uses a GPU (graphical processing unit) to perform some database operations. Most of the GPU databases tend to focus on analytics, and they’re offering it to a market that was oversold on Hadoop for Big Data analytics. GPU-accelerated databases with their brute force computing power can ingest vast amount of data related to customers from a variety of sources.
The analysts forecast the GPU Database Market is expected to grow worth of USD +455 Million and at a CAGR of +20% over the forecast period 2018-2025.
The report, titled Global GPU Database market defines and briefs readers about its products, applications, and specifications. The research lists key companies operating in the global market and also highlights the key changing trends adopted by the companies to maintain their dominance. By using SWOT analysis and Porter’s five force analysis tools, the strengths, weaknesses, opportunities, and threats of key companies are all mentioned in the report. All leading players in this global market are profiled with details such as product types, business overview, sales, manufacturing base, competitors, applications, and specifications.
Companies Profiled in this report includes:
Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US), BlazingDB (US), Zilliz (US), Jedox (Germany), HeteroDB (Japan), H2O.ai (US), FASTDATA.io (US), Fuzzy Logix
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Researchers throw light on technological advancements that are and will provide an appropriate platform for the global GPU Database market. The prime importance has been given to scrutinizing global regions across the world such as North America, Latin America, Middle East, Africa, Europe, and Asia-Pacific. Various market segments have been examined carefully to understand the subject matter clearly.
The research study throws more light on the competitive landscape of the market across the globe along with product portfolio, company profiles, financial overview, business strategies, SWOT analysis, and gives an understanding into the newest expansions of the key players that have been tinted in the study.
Based on applications, the GPU database market has been segmented as follows:
- Threat Intelligence
- Fraud Detection and Prevention
- Predictive Maintenance
- Others (Network Management and Campaign Management)
Based on components, the GPU database market has been segmented as follows:
- GPU-accelerated Databases
- GPU-accelerated Analytics
Based on verticals, the GPU database market has been segmented as follows:
- Retail and eCommerce
- Healthcare and Pharmaceuticals
- Telecommunications and IT
- Transportation and Logistics
- Government and Defense
- Others (Energy and Utilities, Oil and Gas, Media and Entertainment, and Manufacturing)
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In conclusion, the noteworthy points of the global GPU Database market have been described in the report, which helps to tackle the issues in the businesses and help to make well-informed business decisions. It offers complete understanding of global market.
Table of Content:
Global GPU Database Market Research Report 2018-2025
Chapter 1: Industry Overview
Chapter 2: GPU Database Market International and Global Market Analysis
Chapter 3: Analysis of Revenue by Regions and Applications
Chapter 4: Analysis of GPU Database Market Revenue Market Status.
Chapter 5: Sales Price and Gross Margin Analysis
Chapter 6: Marketing Trader or Distributor Analysis of GPU Database.
Chapter 7: Development Trend of GPU Database Market 2018-2025.
………………Continue to TOC.
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