Global Graphics Processing Units (GPU) Database Market, By Component (Tools, Services), Deployment (Cloud, On-Premises), Application (Governance, Risk, and Compliance; Threat Intelligence; Customer Experience Management; Fraud Detection and Prevention; Supply Chain Management; Others), End User (BFSI, Retail and E-Commerce, Telecommunications and IT, Transportation and Logistics, Healthcare and Pharmaceuticals, Government and Defence, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028
Market Analysis and Insights : Global Graphics Processing Units (GPU) Database Market
Graphics processing units (GPU) database market is expected to reach USD 1,022.20 million by 2028 witnessing market growth at a rate of 19.10% in the forecast period of 2021 to 2028. Data Bridge Market Research report on graphics processing units (GPU) database market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecast period while providing their impacts on the market’s growth.
GPU database head large volumes of data faster and more efficiently than CPUs because they work in parallel, instead of sequence. GPUs accelerate analytics, machine learning, and AI based on location and in-memory. It is possible to perform functions in parallel, using brute force to solve complex analytics operations that conventional databases struggle with, with thousands of processing cores easily accessible on a single card.
Increasing data generation across BFSI, retail, and media and entertainment industries, rising popularity of GPU accelerated databases and tools in banks, insurance firms, and many other financial institutions, easy availability of open source solutions and their growing applications areas, increasing adoption of artificial intelligence and machine learning are some of the major as well as vital factors which will likely to augment the growth of the graphics processing units (GPU) database market in the projected timeframe of 2021-2028. On the other hand, rising demand for high-performance computing in various data-intensive industries along with increasing need for analysis of large volumes of data which will further contribute by generating massive opportunities that will lead to the growth of the graphics processing units (GPU) database market in the above mentioned projected timeframe.
Lack of sufficient technical expertise and domain knowledge along with lack of adequate data security measure which will likely to act as market restraints factor for the growth of the graphics processing units (GPU) database in the above mentioned projected timeframe. Limited capabilities of available GPU databases to perform crucial operations in analytics which will become the biggest and foremost challenge for the growth of the market.
This graphics processing units (GPU) database market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on graphics processing units (GPU) database market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Graphics Processing Units (GPU) Database Market Scope and Market Size
Graphics processing units (GPU) database market is segmented on the basis of component, deployment, application and end user. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- Graphics processing units (GPU) database market on the basis of component has been segmented as tools, and services. Tools have been further segmented into GPU-accelerated databases, and GPU-accelerated analytics. Services have been further segmented into consulting, support and maintenance.
- On the basis of deployment, the graphics processing units (GPU) database market has been segmented into cloud, and on-premises.
- On the basis of application, the graphics processing units (GPU) database market has been segmented into governance, risk, and compliance; threat intelligence; customer experience management; fraud detection and prevention; supply chain management; and others. Others have been further segmented into network management and campaign management.
- Graphics processing units (GPU) database has also been segmented on the basis of end user into BFSI, retail and E-commerce, telecommunications and IT, transportation and logistics, healthcare and pharmaceuticals, government and defence, and others. Others have been further segmented into energy and utilities, oil and gas, media and entertainment, and manufacturing.
Graphics Processing Units (GPU) Database Market Country Level Analysis
Graphics processing units (GPU) database market is analysed and market size, volume information is provided by country, component, deployment, application and end user as referenced above.
The countries covered in the graphics processing units (GPU) database market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America will dominate the graphics processing units (GPU) database market due to the early adoption of GPU-accelerated solutions along with increasing need for analysis of large volumes of data while Asia-Pacific region will expect to grow in the forecast period of 2021-2028 due to the prevalence of various market players in the region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Graphics Processing Units (GPU) Database Market Share Analysis
Graphics processing units (GPU) database market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to graphics processing units (GPU) database market.
The major players covered in the graphics processing units (GPU) database market report are OmniSci, Inc.; SQream Technologies; Kinetica DB Inc.; Neo4j, Inc.; NVIDIA Corporation; Brytlyt; Jedox Inc.; Blazegraph; BlazingSQL, Inc.; Zilliz.; HeteroDB; H2O.ai.; FASTDATA; Fuzzy Logix, Inc; Graphistry; Anaconda Inc.; GIGA-BYTE Technology Co., Ltd; SAPPHIRE Technology Limited; EVGA Corporation; ASUSTEK COMPUTER INC.; among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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