[Informe de investigación] Se prevé que el mercado de estructuras de datos alcance los 2.466,12 millones de dólares en 2028, desde los 1.241,04 millones de dólares de 2021; se estima que registrará una tasa compuesta anual del 10,3 % durante 2021-2028.
Creciente uso de Internet y aumento de varios dispositivos conectados, como teléfonos inteligentes, portátiles, tabletas y ordenadores. , aumente directamente la cantidad y variedad de datos comerciales. Por ejemplo, las cámaras y sensores se utilizan con fines de seguimiento y recopilan datos de ubicación continuamente. La creciente necesidad de obtener información significativa a partir de los datos recopilados impulsa la adopción del análisis de datos entre las empresas. Para fines analíticos, los datos se extraen de la estructura de datos.
Además, mientras analiza, la estructura de datos integra datos de conjuntos de datos estructurados, semiestructurados y no estructurados. La variedad de datos comerciales y la cantidad de conjuntos de datos aumentan diariamente debido a la evolución de la digitalización en varias organizaciones comerciales. Por ejemplo, según los datos del octavo año de Domo, los consumidores gastan 1 millón de dólares en línea, realizan 1,4 millones de videollamadas y llamadas de voz, comparten 150.000 mensajes en Facebook y transmiten 404.000 horas de vídeos en Netflix. Por tanto, los datos colectivos que es necesario gestionar son una gran cantidad. Por lo tanto, el tejido de datos se utiliza para la gestión de datos. Data Fabric ayuda a integrar datos de diversas fuentes, almacenar grandes cantidades de datos y analizarlos sin problemas en un solo lugar. Por lo tanto, la demanda de tejido de datos está creciendo para recopilar información empresarial.
Perspectivas estratégicas
Impacto de la pandemia de COVID-19 en el mercado de tejido de datos
La pandemia de COVID-19 ha estado afectando a la mayor parte del negocio a nivel mundial. El continuo crecimiento del número de pacientes infectados por el virus obligó a los gobiernos a imponer restricciones al transporte de personas y mercancías. La imposición del bloqueo ha resultado en una menor producción de materias primas, bienes y servicios. Fabricación, automoción, semiconductores y otros sectores. Electrónica, aceite y amp; El gas, la minería, la aviación y otras industrias han sido testigos de una disminución en sus operaciones debido al cierre temporal de actividades.
La pandemia de COVID-19 ha obligado a las empresas a buscar nuevas alternativas para una pronta recuperación y atención a la urgente necesidad de acceder a suficientes datos en tiempos de crisis. Además, los bancos han hecho la transición a equipos de ventas y servicios remotos y han lanzado un servicio de comunicación digital con los clientes para hacer arreglos de pago flexibles para préstamos e hipotecas. Las tiendas de comestibles han pasado a realizar pedidos y entregas en línea como su negocio principal. Las escuelas de muchos lugares han adoptado el aprendizaje en línea y las aulas digitales. Estos enfoques han dado como resultado un aumento de la cantidad y variedad de datos comerciales. Por lo tanto, la creciente necesidad de agilidad empresarial y accesibilidad a los datos y la creciente demanda de análisis de streaming en tiempo real se encuentran entre los factores que contribuyen al crecimiento del mercado de tejido de datos.
Lucrativo Regiones para el mercado de Data Fabric
Perspectivas del mercado de Data Fabric
Demanda creciente de análisis en tiempo real
En los últimos años, el análisis de big data se ha convertido en un importante interés de investigación entre profesionales e investigadores. Las inversiones públicas y privadas en la aplicación de análisis de big data han aumentado hasta millones de dólares en todo el mundo. Un rápido crecimiento en el volumen y la complejidad de los datos debido al creciente tráfico de datos móviles y la computación en la nube y el creciente desarrollo y adopción de tecnologías, como la inteligencia artificial (IA) y el Internet de las cosas (IoT), impulsan la demanda de big data. tecnologías analíticas. Estas tecnologías tienen un enorme potencial para transformar el negocio por completo. Las plataformas de big data analizan eficazmente enormes conjuntos de datos estructurados y no estructurados. La industria BFSI es una de las industrias más grandes que gasta una cantidad significativa en tecnología de análisis y big data. Las regiones potenciales, como América del Norte y Europa, son muy activas en la implementación de estas tecnologías. Además, los gobiernos de estas regiones están ejecutando varios proyectos para implementar big data en diversas industrias. Por ejemplo, el Proyecto Big Data Europe de 2015-2017 recibió financiación del programa de investigación e innovación Horizonte 2020 de la Unión Europea. El proyecto diseñó prototipos de aplicaciones de big data en varios sectores que pueden ofrecer una gran cantidad de conjuntos de datos y avanzar hacia enfoques de soluciones basadas en datos. Por lo tanto, los datos se recopilan de una estructura de datos con fines de análisis en tiempo real.
La tecnología de análisis de big data es uno de los impulsores importantes en el mercado de la estructura de datos, que ayuda a obtener información útil a partir de la cantidad de datos estructurados y masivos disponibles en datos no estructurados de diversas fuentes, como la web y las redes sociales. La información obtenida del análisis de big data ayuda a las empresas a mejorar numerosas áreas, como la retención de clientes, el descubrimiento de nuevos mercados, el servicio al cliente optimizado, la retención de empleados y la mejora de la fidelidad de los clientes. Por lo tanto, la creciente demanda de análisis en tiempo real ayuda al crecimiento del mercado de tejido de datos.
Información de mercado basada en la implementación
Basado en la implementación, El mercado de tejido de datos se divide en nube y local. En 2020, el segmento de la nube lideró el mercado y representó una mayor participación de mercado.
Mercado de Data Fabric, por implementación, 2020 y 2028 (%)
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Perspectivas del mercado basadas en componentes
Según los componentes, el mercado de tejido de datos se divide en software y servicios. En 2020, el segmento de software representó una mayor participación de mercado.
Información del mercado basada en soluciones
Según la solución, el mercado de tejido de datos es segmentado en descubrimiento de datos, ingesta de datos, orquestación de datos, acceso a datos de tejido, gestión de datos y gestión de tejido. En 2020, el segmento de gestión de datos representó una mayor cuota de mercado.
Información de mercado basada en el usuario final
Según el usuario final, los datos El mercado de telas está segmentado en BFSI, TI y tecnología. telecomunicaciones, comercio minorista, atención médica y productos farmacéuticos, entre otros. En 2020, el segmento BFSI lideró el mercado de tejido de datos y representó la mayor cuota de mercado.
Los actores que operan en el mercado de tejido de datos adoptan estrategias como fusiones, adquisiciones , e iniciativas de mercado para mantener sus posiciones en el mercado. A continuación se enumeran algunos desarrollos de actores clave:
- En marzo de 2021, Denodo Technologies Inc., líder de la industria en virtualización de datos, presentó Denodo Standard, una nueva solución de integración de datos accesible en destacados mercados de la nube. . El motor de virtualización de datos actual de Denodo se utiliza en la nueva solución para permitir un mayor rendimiento y productividad, permitiendo análisis y servicios de datos en tiempo real sin la necesidad de replicar datos en otro repositorio.
;
- En septiembre de 2020, Denodo Technologies Inc. lanzó una nueva versión de su software de plataforma Denodo. La última versión 8.0 está destinada a mejorar el rendimiento al acelerar la integración híbrida/multinube y automatizar la gestión de datos mediante inteligencia artificial (IA) y aprendizaje automático (ML) con aceleración de consultas inteligentes. La plataforma admite la virtualización de datos en una estructura de datos lógica al proporcionar sugerencias inteligentes, hiperrendimiento y soporte de plataforma como servicio (PaaS).
Por implementación
- Nube
- On-Premises
- Software
- Servicios
- Descubrimiento de datos
- Ingestión de datos
- Orquestación de datos
- Acceso a datos de tejido
- Gestión de datos
- Gestión de tejido
Por componente
Por solución
< ul>Por usuario final
- BFSI
- TI & Telecomunicaciones
- Venta al por menor
- Atención sanitaria y servicios Productos farmacéuticos
- Otros
Por geografía
- América del Norte
- Estados Unidos
- Canadá< /li>
- México
- Europa
- Francia
- Alemania
- Italia
- Reino Unido
- Rusia
- Resto de Europa
- Asia Pacífico (APAC)
- China< /li>
- India
- Corea del Sur
- Japón
- Australia
- Resto de APAC
- Oriente Medio y África África (MEA)
- Sudáfrica
- Arabia Saudita
- EAU
- Resto de MEA
- América del Sur (SAM)
- Brasil
- Argentina
- Resto de SAM
Perfiles de empresas
- Denodo Technologies
- IBM Corporation
- Informatica Corporation
- K2View
- NetApp, Inc.
- Oracle Corporation
- SAP SE
- Software AG
- Teradata
- Hewlett Packard Enterprise Development LP (HPE)
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
Rising Quantity and Variety of Business Data
Growing Demand for Real-Time Analytics
With the growing population, the number of internet users is increasing. For instance, it has been observed that there are 4.66 Million internet users present globally (59% of the global population). From this total, 92.6% (4.32 Million) users accessed internet through mobile devices. A few countries with the highest internet penetration rate globally are Denmark, the UAE, and Sweden. Further, till 2020, APAC had the largest number of online users with over 2.5 Million and Europe was ranked second with almost 728 million internet users. In 2020, China held the leading market share in the world, followed by India and the US. China has more than 854 million internet users and India has around 560 million online users. Still there are a few MEA countries, such as Oman, Qatar, and Kuwait, where the digitalization and internet are in initial phase. The continuous growth in the internet users also let the industries to transform their business to the digital platform. Also, the need for cloud technology has positively impacted the businesses because of the storage and data transfer facilities and cost-effectiveness.
Based on the deployment type, the data fabric market is segmented into cloud and on-premise. The global data fabric market is dominated by cloud segment in 2020, which accounted for 69.1%.
With the digital transformation, the use of the cloud-based platform is increasing due to the simplification of the deployment time and the reduction in the deployment cost. Further, the internet infrastructure has matured in developed countries and is flourishing in several developing countries across the world, which allows Components in these countries access to the cloud-based platform. The adoption of data fabric across several applications is associated with the varying end user requirements. However, technological advancements also play a vital role in enhancing the adoption trend by companies and customers. For instance, many financial institutions use financial analytics to gain insights, ensure optimal performance, and make crucial decisions. Financial analytics helps the banking sector enhance the customer experience and assists in risk management.
A few key companies operating in the data fabric market are Denodo Technologies; IBM Corporation; Informatica Corporation; K2View; NetApp, Inc.; Oracle Corporation; SAP SE; Software AG; Teradata; and Hewlett Packard Enterprise Development LP (HPE). Several other companies are also functioning in the market and are contributing substantial revenues toward the market's growth.
North America held the significant market share in year 2020, along with the notable revenue generation opportunities in Europe and APAC.
The List of Companies - Data Fabric Market
- Denodo Technologies Inc
- Hewlett Packard Enterprise Company
- IBM Corp.
- Informatica Corporation
- K2VIEW
- NetApp, Inc.
- Oracle Corporation
- SAP SE
- Software AG
- Teradata Corporation
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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