Informe del mercado de software de Big Data por tipo de software (base de datos, análisis de datos y herramientas, gestión de datos, aplicaciones de datos, tecnologías centrales), tipo de implementación (en las instalaciones, en la nube), industria (banca, fabricación discreta, servicios profesionales, fabricación de procesos, gobierno federal/central y otros), uso final (grandes empresas, pymes) y región 2024-2032

Informe del mercado de software de Big Data por tipo de software (base de datos, análisis de datos y herramientas, gestión de datos, aplicaciones de datos, tecnologías centrales), tipo de implementación (en las instalaciones, en la nube), industria (banca, fabricación discreta, servicios profesionales, fabricación de procesos, gobierno federal/central y otros), uso final (grandes empresas, pymes) y región 2024-2032

Report Format: PDF+Excel | Report ID: SR112024A14465
Year End sale Buy Now

Panorama del mercado:

El tamaño del mercado global de software de big data alcanzó los 191,8 mil millones de dólares en 2023. De cara al futuro, IMARC Group espera que el mercado alcance los 410,5 mil millones de dólares para 2032, exhibiendo una tasa de crecimiento anual compuesta (CAGR) del 8,6% durante el período 2024-2032.

Atributo del informe Estadísticas clave
Año base
2023
Años de pronóstico
2024-2032
Años históricos
2018-2023
Tamaño del mercado en 2023 191.800 millones de dólares
Previsión de mercado en 2032 410.500 millones de dólares
Tasa de crecimiento del mercado 2024-2032 8,6%


El software de big data es un conjunto de aplicaciones diseñadas para gestionar, procesar y analizar grandes volúmenes de datos estructurados y no estructurados. Este software suele abarcar diversas funcionalidades, como el almacenamiento de datos, la minería de datos, el análisis, la visualización de datos y los algoritmos de aprendizaje automático. Estas soluciones de software son fundamentales para gestionar datos demasiado grandes, complejos o dinámicos para las bases de datos tradicionales. Entre las ventajas de utilizar software de big data se incluyen la capacidad de extraer información procesable de los datos, la mejora de la toma de decisiones, el análisis en tiempo real y una comprensión más completa del comportamiento de los clientes y las tendencias del mercado. Las empresas ven cada vez más el software de big data como una herramienta crucial para impulsar la eficiencia operativa, mejorar la experiencia del cliente y obtener una ventaja competitiva en el panorama actual impulsado por los datos. Algunos de los tipos más comunes de software de big data son los almacenes de datos, las herramientas de Business Intelligence, las plataformas de Big Data y los motores de análisis.

Mercado de software de Big Data

El mercado mundial está impulsado principalmente por el aumento exponencial de la generación de datos en diversos sectores de uso final, desde la sanidad y las finanzas hasta el comercio electrónico y las telecomunicaciones. Además, la enorme cantidad de datos que se genera requiere herramientas avanzadas para su gestión y análisis eficaces. Además, la creciente adopción de soluciones basadas en la nube está facilitando el acceso al software de big data, incluso para las pequeñas y medianas empresas. Por otra parte, la incorporación generalizada de la Inteligencia Artificial y las capacidades de aprendizaje automático en las plataformas de Big Data es otro factor que influye positivamente en el mercado. Estas tecnologías ayudan a mejorar el análisis de datos, el modelado predictivo y la automatización, lo que hace que el software sea más eficiente y robusto. Aparte de esto, las iniciativas gubernamentales que apoyan la transformación digital y el análisis de datos, junto con la creciente necesidad de análisis de datos en tiempo real para la toma oportuna de decisiones, están impulsando aún más el crecimiento del mercado. Además, la transición en curso hacia un entorno de trabajo más remoto y digital, acelerado por la pandemia COVID-19, está aumentando la demanda de soluciones de big data seguras y escalables.

Segmentación clave del mercado:

IMARC Group proporciona un análisis de las tendencias clave en cada subsegmento del informe del mercado mundial de software de big data, junto con las previsiones a nivel mundial, regional y nacional de 2024-2032. Nuestro informe ha categorizado el mercado en función del tipo de software, el tipo de despliegue, la industria y el uso final.

Desglose por tipo de software:

  • Base de datos
  • Análisis de datos y herramientas
  • Gestión de datos
  • Aplicaciones de datos
  • Tecnologías básicas
     

Desglose por tipo de despliegue:

  • En las instalaciones
  • Nube
     

Distribución por sectores:

  • Banca
  • Fabricación discreta
  • Servicios profesionales
  • Fabricación por procesos
  • Gobierno federal/central
  • Otros
     

Desglose por uso final:

  • Grandes empresas
  • PYME
     

Distribución por regiones:

  • Norteamérica
    • Estados Unidos
    • Canadá
  • Europa
    • Reino Unido
    • Alemania
    • Italia
    • España
    • Francia
    • Rusia
    • Otros
  • Asia-Pacífico
    • China
    • Japón
    • India
    • Corea del Sur
    • Australia
    • Vietnam
    • Otros
  • América Latina
    • Brasil
    • México
    • Argentina
    • Colombia
    • Chile
    • Otros
  • Oriente Medio y África
    • Arabia Saudí
    • Emiratos Árabes Unidos
    • Sudáfrica
    • Otros
       

Panorama competitivo:

También se ha examinado el panorama competitivo de la industria con algunos de los principales actores como AWS, Cloudera, Hortonworks, IBM, Informatica, Microsoft, Oracle, Palantir, SAP, SAS y Splunk.

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Informe del mercado de software de Big Data por tipo de software (base de datos, análisis de datos y herramientas, gestión de datos, aplicaciones de datos, tecnologías centrales), tipo de implementación (en las instalaciones, en la nube), industria (banca, fabricación discreta, servicios profesionales, fabricación de procesos, gobierno federal/central y otros), uso final (grandes empresas, pymes) y región 2024-2032
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