El tamaño del mercado de bases de datos de GPU se valoró en 388,81 millones de dólares estadounidenses en 2022 y se espera que crezca a una tasa compuesta anual del 19,1 % durante 2022-2028.
Una base de datos de GPU utiliza unidades de procesamiento de gráficos (GPU) para realizar operaciones de base de datos. Una GPU es un procesador programable diseñado para renderizar rápidamente imágenes y vídeos de alta resolución. La base de datos de GPU procesa enormes volúmenes de datos de forma más rápida y eficaz que las CPU porque funcionan en paralelo en lugar de en secuencia. Por lo tanto, las bases de datos de GPU suelen ser más rápidas y están orientadas a análisis que son más flexibles a la hora de procesar muchos tipos diferentes de datos o cantidades de datos mucho mayores. Ha surgido una nueva generación de bases de datos impulsadas por GPU, impulsadas por la digitalización y el análisis de datos. Las CPU tradicionales han superado a las GPU en cuanto a tareas repetidas con una gran cantidad de datos. Con el aumento de los volúmenes de generación de datos, crece la necesidad de llevar a cabo servicios informáticos de alto rendimiento para permitir que las aplicaciones se ejecuten de manera eficiente. Esto ha aumentado la demanda de bases de datos GPU. Las bases de datos utilizan GPU para realizar determinadas operaciones, como big data, aprendizaje automático e inteligencia artificial.
El auge de la digitalización y las tecnologías modernas ha provocado un enorme aumento de los volúmenes de datos en las organizaciones. La transformación digital en la atención sanitaria, la manufactura, el comercio minorista y otras industrias durante la pandemia probablemente impulsará la generación de datos durante el período de pronóstico. Así, los volúmenes de datos estructurados y no estructurados están creciendo exponencialmente. Los factores clave que impulsan el crecimiento del mercado de bases de datos GPU incluyen un aumento significativo en la generación de datos a través de los sectores BFSI, banca, medios y entretenimiento. Además, el uso de bases de datos de GPU para gobernanza, riesgo y cumplimiento (GRC), detección y control de fraudes. Se prevé que la evitación, la inteligencia de amenazas, la gestión de la cadena de suministro (SCM) y la gestión de la experiencia del cliente (CEM) den forma a las tendencias de la industria para la adopción de bases de datos GPU en los próximos años. Por lo tanto, la aplicación de amplio alcance de herramientas y bases de datos aceleradas por GPU en agencias de seguros, bancos y otras instituciones financieras acelerará la demanda de bases de datos GPU, lo que ayudará a impulsar el mercado durante el período de pronóstico.
Perspectivas estratégicas
Impacto de la pandemia de COVID-19 en el crecimiento del mercado de bases de datos de GPU
El brote de COVID-19 afectó dramáticamente a la economía global durante su pico en 2020 en sus primeros días. La pandemia obstaculizó las actividades comerciales en las industrias comerciales y de TI. La crisis económica posterior a la pandemia provocó un retraso significativo en el lanzamiento comercial de las tecnologías de próxima generación. Las pequeñas y medianas empresas son la columna vertebral de los proveedores de tecnología y han sido testigos de una fuerte caída de ingresos desde la pandemia en 2020. La pandemia de covid-19 afectó el análisis de la cadena de valor y afectó financieramente a ciertas empresas. Sin embargo, el brote de COVID-19 influyó positivamente en el mercado de bases de datos de GPU, ya que aceleró la adopción de inteligencia artificial y aprendizaje automático en todos los sectores verticales de la industria. La nube está ganando impulso y las empresas están trabajando para optimizar su red, almacenamiento y agilidad y lograr un mayor ancho de banda, donde la base de datos de GPU ha resultado ser la solución perfecta.
regiones lucrativas: base de datos de GPU Cuota de mercado
Perspectiva del mercado: Mercado de bases de datos de GPU
Creciente demanda de informática de alto rendimiento en diversas industrias con uso intensivo de datos
La base de datos de GPU ofrece un mayor rendimiento que una computadora de escritorio o estación de trabajo típica para resolver grandes problemas de ciencia, ingeniería o negocios. Uno de los tipos más conocidos de informática de alto rendimiento es la supercomputadora. La supercomputadora consta de miles de nodos informáticos que trabajan juntos para completar una o más tareas, lo que también se denomina procesamiento paralelo. La adopción de tecnologías avanzadas, como IoT, IA e imágenes tridimensionales, está aumentando más rápidamente; Además, el tamaño y la cantidad de datos con los que las organizaciones tienen que trabajar están creciendo exponencialmente. Además, la capacidad de procesar dichos datos en tiempo real se está convirtiendo en un desafío para propósitos como transmitir un evento deportivo en vivo, probar nuevos productos, rastrear una tormenta en desarrollo y analizar tendencias bursátiles. Por lo tanto, para superar estos desafíos, la adopción de bases de datos GPU se está acelerando entre las organizaciones, reforzando la dinámica del mercado en los próximos años. Las industrias informáticas de alto rendimiento más destacadas incluyen la modelización meteorológica, la transmisión de un evento deportivo en directo, las simulaciones de petróleo y gas, el diseño de semiconductores, la genómica, las finanzas y la ingeniería.
Información basada en segmentos
Según el informe de mercado de bases de datos de GPU, el mercado de bases de datos de GPU se segmenta según el componente, la implementación, la aplicación, la industria vertical y la geografía. Según los componentes, el mercado de bases de datos de GPU GPU se divide en herramientas y servicios. En términos de implementación, el mercado de bases de datos de GPU se segmenta en local y basado en la nube. Según la aplicación, el mercado de bases de datos de GPU se segmenta en detección y detección de fraudes. prevención, gestión de riesgos y gestión cumplimiento (GRC), gestión de la experiencia del cliente, mantenimiento predictivo, gestión de la cadena de suministro, inteligencia sobre amenazas y otros. Según la vertical de la industria, el mercado de bases de datos de GPU se segmenta en BFSI, TI y tecnología. telecomunicaciones, comercio minorista y comercio electrónico, atención médica, transporte y amp; logística, gobierno y defensa y otros. Según la geografía, el mercado de bases de datos de GPU está segmentado en América del Norte, Europa y Asia Pacífico, Medio Oriente y Asia. África y Sudamérica.
Los jugadores que operan en el mercado de bases de datos de GPU se centran principalmente en el desarrollo de productos avanzados y eficientes.
- En septiembre de 2021, Graphistry lanzó Hub Pro (Graphistry Hub for Professionals), la siguiente etapa en su misión de hacer que el análisis de gráficos visuales acelerado por GPU sea accesible para todos. Para individuos, Graphistry Hub Pro aborda problemas de seguridad, costos y mantenimiento. Para los equipos, Hub Organizations pronto estará disponible.
- En diciembre de 2021, H2o.ai lanzó su AI Hybrid Cloud, que permite a los usuarios administrar una plataforma de AI en las instalaciones y en la nube. Con las nuevas características, la compañía lanzó una nube totalmente administrada y la llamó simplemente "H2O AI Cloud". que ayuda a los desarrolladores de aplicaciones y datos a crear rápidamente modelos y aplicaciones de IA proporcionando soluciones integrales para la infraestructura.
Los actores clave perfilados en el estudio de mercado de bases de datos de GPU son BRYTLYT; FUZZY LOGIX, INC; GRAFÍA; H2O.AI; JEDOX; KINETICA DB INC.; NEO4J, INC.; OMNISCI, INC.; SQREAM DB; y ZILLIZ. El informe de mercado proporciona información detallada sobre el mercado, lo que ayuda a los actores clave a elaborar estrategias para el crecimiento en los próximos años.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
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to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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to country scope.
Frequently Asked Questions
Rising preference of enterprises toward AI and machine learning facilitated workloads is creating substantial growth opportunity for the market.
Based on component, the GPU database market is segmented into tool and services segment. The tool segment accounted for the largest share of the GPU database market in 2022. Moreover, the services segment is projected to grow at a faster pace during the forecast period. The growing adoption of AI and ML in data intensive industries is driving the segment growth over the forecast period.
Kinetica DB Inc; HEAVY.AI; Brytlyt; SQream Technologies; and NVIDIA Corporation are the five key players in the Global GPU database Market. These companies have shown consistent growth in revenue and larger volumes of sales. Additionally, the well-established top five players are offering a comprehensive product portfolio and have a prominent presence in terms of share in the global market.
The market is estimated to register a CAGR of 19.1% during the forecast period..
Based on deployment, the GPU database market is segmented into cloud and on premises. The on premise segment accounted for the largest share of the GPU database market in 2021 owing to increasing investment in data intensive industries for handling and processing large amount of data. Moreover, the cloud segment is projected to grow at a faster pace during the forecast period owing to increasing deployment from large enterprises which helps adding more GPUs to a server rather than adding more CPUs is driving the segment’s growth.
The List of Companies - GPU Database Market
- BRYTLYT
- GRAPHISTRY
- H2O.ai
- Jedox
- Kinetica DB Inc.
- Neo4J, INC.
- SQREAM DB
- ZILLIZ
- NVIDIA CORPORATION
- HEAVY.AI
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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