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GPU Database Market - Global Industry Analysis

GPU Database Market Tools (GPU-Accelerated Databases and GPU-Accelerated Analytics), Application (GRC, CEM, Threat Intelligence, SCM, and Fraud Detection and Prevention): Global Industry Perspective, Comprehensive Analysis and Forecast, 2020 – 2026

Published Date: 28-Sep-2020 Category: Technology & Media Report Format : PDF Pages: 110 Report Code: ZMR-3622 Status : Published

According to the report published by Zion Market Research, global demand for GPU Database market was valued at approximately USD 226.4 Million in 2019, and is expected to generate revenue of around USD 592.1 Million by end of 2026, growing at a CAGR of around 17.4% between 2020 and 2026.

Description

According to the report published by Zion Market Research, global demand for GPU Database market was valued at approximately USD 226.4 Million in 2019, and is expected to generate revenue of around USD 592.1 Million by end of 2026, growing at a CAGR of around 17.4% between 2020 and 2026.

Global GPU Database Market: Overview

GPU database head large volumes of data faster and more efficiently than CPUs because they work in parallel, instead of sequence. GPUs speed up location-based and in-memory analytics, machine learning, and AI. With thousands of processing cores easily available on a single card, it is possible to perform functions in parallel, using brute force to solve complex analytics operations that traditional databases struggle with. Aggregations, sorts, and grouping operations are workload intensive for a CPU, but can work effectively in parallel on a GPU database.

Global GPU Database Market: Growth Factors

The key factors driving the GPU Database market include massive data generation across BFSI, retail, and media and entertainment industries. In addition to this, massive use of GPU database for GRC, fraud identification & prevention, threat intelligence, SCM, and CEM is likely to spur the GPU Database market trends in the coming years. The massive popularity of GPU accelerated databases and tools   in banks, insurance firms, and many other financial institutions will contribute substantially towards GPU Database market revenue in the forthcoming years. With inception of supercomputer, the demand for GPU database is gaining momentum across the world for effective data analytics and achieving accurate outcomes.

Launching of GPU-accelerated tools has eased operations, thereby enabling speedy data processing operations and real-time analytics. These tools help firms in performing risky computations as well as simulations in real-time. Parallel computing with GPU applications is projected to help firms monitor irregularities in different streams of transactions and log data. All these aforementioned factors are likely to further steer the growth trajectory of GPU Database market in the years ahead.

Global GPU Database Market: Segmentation

The global GPU Database market can be divided based on application and tools. Based on the application, the GPU Database market can be sectored into GRC, CEM, Threat Intelligence, SCM, and Fraud Detection and Prevention. On the basis of tools, the market can be segmented into GPU-accelerated databases and GPU-accelerated analytics,

Region-wise, the global market is segregated into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

Global GPU Database Market: Regional Analysis

Based on regions, the global GPU Database market can be divided into five main regions: North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America GPU Database market is expected to account for the highest global market share, due to the early adoption of GPU- accelerated tools as well as prominent initiatives taken by the industry players in the form of partnerships with different technology players to offer rapid analytics and data processing solutions. The huge presence of GPU database vendors in countries such as the U.S. as well as the widespread awareness about these solutions in the region is expected to help the region retain its largest market share during the forecast period.

Asia Pacific GPU Database market is also likely to record lucrative growth over the next few years, subject to massive use of supercomputers for weather forecasting, and massive use of new technologies in banking sectors in countries such as India, Japan, and China along with growing need for secured solutions in myriad financial institutions across these emerging economies. Countries such as Germany and the UK are expected to drive the growth of Europe GPU Database market in the years ahead.

Global GPU Database Market: Competitive Players

Some main participants of the GPU Database market are Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, Jedox, HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, Anaconda, and Graphistry

GPU Database Market: Regional Segment Analysis

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1.Preface
    • 1.1.Report Description
    • 1.1.Report Scope
  • Chapter 2.Research Methodology
    • 2.1.Research Methodology
    • 2.2.Secondary Research
    • 2.3.Primary Research
    • 2.4.Models
      • 2.4.1.Company Share Analysis Model
      • 2.4.2.Revenue Based Modeling
    • 2.5.Research Limitations
  • Chapter 3.Executive Summary
    • 3.1.Global GPU Database Market, 2016 – 2026 (USD Million)
    • 3.2.Global GPU Database Market: Snapshot
  • Chapter 4.GPU Database Market – Industry Analysis
    • 4.1.Introduction
    • 4.2.Market Drivers
      • 4.2.1.Driving Factor 1 Analysis
      • 4.2.2.Driving Factor 2 Analysis:
    • 4.3.Market Restraints
      • 4.3.1.Restraining Factor Analysis
    • 4.4.Market Opportunities
      • 4.4.1.Market Opportunity & Use-case Anaysis
      • 4.4.2.Use – Cases for GPU Database
    • 4.5.Porter’s Five Forces Analysis
    • 4.6.COVID 19 Impact Analysis
      • 4.6.1.1.Impact on Product Development and Technology Adoption
      • 4.6.1.2.Gap Analysis
  • Chapter 5.Investment Proposition Analysis
    • 5.1.Global GPU Database Market Attractiveness, By Touls
    • 5.2.Global GPU Database Market Attractiveness, By Application
    • 5.3.Global GPU Database Market Attractiveness, By Region
  • Chapter 6.Competitive Landscape
    • 6.1.Company Market Share Analysis - 2019
      • 6.1.1.Global GPU Database Market: Company Market Share, 2019
    • 6.2.Strategic Developments
    • 7.1.Global GPU Database Market Overview: by Touls
      • 7.1.1.Global GPU Database Market Revenue Share, by Touls, 2019 & 2026
    • 7.2.Global GPU Database Market Analysis/Overview – By Touls
      • 7.2.1.GPU-Accelerated Databases – Overview/Analysis
      • 7.2.2.GPU-Accelerated Analytics – Overview/Analysis
    • 7.3.GPU-Accelerated Databases
      • 7.3.1.Global GPU Database Market for GPU-Accelerated Databases, Revenue (USD Million) 2016 - 2026
    • 7.4.GPU-Accelerated Analytics
      • 7.4.1.Global GPU Database Market for GPU-Accelerated Analytics, Revenue (USD Million) 2016 - 2026
    • 8.1.Global GPU Database Market Overview: by Application
      • 8.1.1.Global GPU Database Market Revenue Share, by Application, 2019 & 2026
    • 8.2.Global GPU Database Market Analysis/Overview – By Application
      • 8.2.1.GRC – Overview/Analysis
      • 8.2.2.CEM – Overview/Analysis
      • 8.2.3.Threat Intelligence – Overview/Analysis
      • 8.2.4.SCM – Overview/Analysis
      • 8.2.5.Fraud Detection and Prevention – Overview/Analysis
    • 8.3.GRC
      • 8.3.1.Global GPU Database Market for GRC, Revenue (USD Million) 2016 - 2026
    • 8.4.CEM
      • 8.4.1.Global GPU Database Market for CEM, Revenue (USD Million) 2016 - 2026
    • 8.5.Threat Intelligence
      • 8.5.1.Global GPU Database Market for Threat Intelligence, Revenue (USD Million) 2016 - 2026
    • 8.6.SCM
      • 8.6.1.Global GPU Database Market for SCM, Revenue (USD Million) 2016 - 2026
    • 8.7.Fraud Detection and Prevention
      • 8.7.1.Global GPU Database Market for Fraud Detection and Prevention, Revenue (USD Million) 2016 - 2026
  • Chapter 9.GPU Database Market – Regional Analysis
    • 9.1.Global GPU Database Market: Regional Overview
      • 9.1.1.Global GPU Database Market Revenue Share, by Region, 2019 & 2026
      • 9.1.2.Global GPU Database Market Revenue, by Region, 2016 – 2026 (USD Million)
    • 9.2.North America
      • 9.2.1.North America GPU Database Market Revenue, 2016 - 2026 (USD Million)
      • 9.2.2.North America GPU Database Market Revenue, by Country, 2016 – 2026 (USD Million)
      • 9.2.3.North America GPU Database Market Revenue, by Touls, 2016 – 2026
      • 9.2.4.North America GPU Database Market Revenue, by Application, 2016 – 2026
      • 9.2.5. U.S.
      • 9.2.6.Canada
    • 9.3.Europe
      • 9.3.1.Europe GPU Database Market Revenue, 2016 - 2026 (USD Million)
      • 9.3.2.Europe GPU Database Market Revenue, by Country, 2016 – 2026 (USD Million)
      • 9.3.3.Europe GPU Database Market Revenue, by Touls, 2016 – 2026
      • 9.3.4.Europe GPU Database Market Revenue, by Application, 2016 – 2026
      • 9.3.5.Germany
      • 9.3.6.France
      • 9.3.7. U.K.
      • 9.3.8.Italy
      • 9.3.9.Spain
      • 9.3.10.Rest of Europe
    • 9.4.Asia Pacific
      • 9.4.1.Asia Pacific GPU Database Market Revenue, 2016 - 2026 (USD Million)
      • 9.4.2.Asia Pacific GPU Database Market Revenue, by Country, 2016 – 2026 (USD Million)
      • 9.4.3.Asia Pacific GPU Database Market Revenue, by Touls, 2016 – 2026
      • 9.4.4.Asia Pacific GPU Database Market Revenue, by Application, 2016 – 2026
      • 9.4.5.China
      • 9.4.6.Japan
      • 9.4.7.India
      • 9.4.8.South Korea
      • 9.4.9.South-East Asia
      • 9.4.10.Rest of Asia Pacific
    • 9.5.Latin America
      • 9.5.1.Latin America GPU Database Market Revenue, 2016 - 2026 (USD Million)
      • 9.5.2.Latin America GPU Database Market Revenue, by Country, 2016 – 2026 (USD Million)
      • 9.5.3.Latin America GPU Database Market Revenue, by Touls, 2016 – 2026
      • 9.5.4.Latin America GPU Database Market Revenue, by Application, 2016 – 2026
      • 9.5.5.Brazil
      • 9.5.6.Mexico
      • 9.5.7.Rest of Latin America
    • 9.6.The Middle-East and Africa
      • 9.6.1.The Middle-East and Africa GPU Database Market Revenue, 2016 - 2026 (USD Million)
      • 9.6.2.The Middle-East and Africa GPU Database Market Revenue, by Country, 2016 – 2026 (USD Million)
      • 9.6.3.The Middle-East and Africa GPU Database Market Revenue, by Touls, 2016 – 2026
      • 9.6.4.The Middle-East and Africa GPU Database Market Revenue, by Application, 2016 – 2026
      • 9.6.5.GCC Countries
      • 9.6.6.South Africa
      • 9.6.7.Rest of Middle-East Africa
  • Chapter 10.Company Profiles
    • 10.1.Kinetica
      • 10.1.1.Company Overview
      • 10.1.2.Financial Overview
      • 10.1.3.Product Portfolio
      • 10.1.4.Business Strategy
      • 10.1.5.Recent Developments
    • 10.2.OmniSci
    • 10.3.SQream
    • 10.4.Neo4j
    • 10.5.NVIDIA
    • 10.6.Brytlyt
    • 10.7.Blazegraph
    • 10.8.BlazingDB
    • 10.9.Zilliz
    • 10.1.Jedox
    • 10.11.HeteroDB
    • 10.12.H2O.ai
    • 10.13.FASTDATA.io
    • 10.14.Fuzzy Logix
    • 10.15.Anaconda
    • 10.16.Graphistry

Methodology


Frequently Asked Questions

The key factors driving the GPU Database market include massive data generation across BFSI, retail, and media and entertainment industries. In addition to this, massive use of GPU database for GRC, fraud identification & prevention, threat intelligence, SCM, and CEM is likely to spur the GPU Database market trends in the coming years.

According to Zion Market Research, global demand for GPU Database market is expected to generate revenue of around USD 592.1 Million by end of 2026, growing at a CAGR of around 17.4% between 2020 and 2026.

North America GPU Database market is expected to account for the highest global market share, due to the early adoption of GPU- accelerated tools as well as prominent initiatives taken by the industry players in the form of partnerships with different technology players to offer rapid analytics and data processing solutions.

Some main participants of the GPU Database market are Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, Jedox, HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, Anaconda, and Graphistry among others.

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