Big Data en la Industria Manufacturera: Análisis y Aplicaciones

Big Data en la Industria Manufacturera: Análisis y Aplicaciones

Fortune Business Insights Market study recently provided a complete review of the globalBig Data en la fabricación market study, which includes product/industry scope, market prognosis, and status. The market study is divided into primary regions that are advancing commercialization. Currently, the market is expanding its footprint. The most recent research on the global Big Data en la fabricación market analysis evaluates market size, trends, and forecasts up to 2032.

Big Data en la fabricación Market Research focuses on critical research evidence and data, with managers, analysts, industry experts, and other key players sharing insights on market trends, growth drivers, opportunities, forthcoming challenges, and rivals. It becomes a useful and accessible resource document. -Surveys can help you understand.

El big data mundial en el tamaño de la industria manufacturera se valoró en 3.220 millones de dólares en 2018 y se prevé que alcance los 21.510 millones de dólares en 2032, exhibiendo una tasa compuesta anual del 12,6% durante el período previsto. Europa dominó el Big Data en la industria manufacturera con una cuota de mercado del 26,70% en 2018.

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Market Overview:

Big data en la industria manufacturera está transformando las operaciones al permitir análisis en tiempo real y mantenimiento predictivo. Esta tecnología optimiza los procesos de producción, mejora el control de calidad e impulsa la eficiencia a través de la toma de decisiones basada en datos.

Market drivers:

Unidades clave:

  • Necesidad creciente de toma de decisiones basada en datos y optimización de procesos.
  • Avances en las tecnologías de IoT e IA que facilitan la adopción de big data.

Factores de restricción:

  • Altos costos de implementación y complejidad de los sistemas de big data.
  • Preocupaciones por la seguridad y privacidad de los datos.

Key market players covered in this report: 

  • Accenture Plc.
  • Alteryx, Inc.
  • Angoss Software Corporation
  • Fair Isaac Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • SAS Institute, Inc.
  • Tibco Software, Inc. (Alpine Data)

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Geographically, detailed analysis of consumption, revenue, market share and growth rate of the following regions:

  • Middle East/Africa (South Africa, Saudi Arabia, United Arab Emirates, Israel, Egypt, etc.)
  • North America (USA, Mexico, Canada)
  • South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
  • Europe (Turkey, Spain, Netherlands, Denmark, Belgium, Switzerland, Germany, Russia, United Kingdom, Italy, France, etc.)
  • Asia Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, South Korea, Thailand, India, Indonesia, Australia).

Main new features :

Junio ??de 2016: Accenture Plc. lanzó siete aplicaciones de análisis avanzado, que ayudarán en la detección de fraude, y fue diseñado para banca, agencias gubernamentales, empresas manufactureras y de telecomunicaciones.

Enero de 2018 – ndash; Datawatch Corporation adquirió Angoss Software Corporation para ampliar la cartera de productos y ofrecer análisis predictivos y prescriptivos exhaustivos para cada aplicación y ayudará a una empresa a descubrir información valiosa.

Big Data en la fabricación Market Research Objectives:

It focuses the key manufacturers to define, establish, and investigate their value, sales, market share, competitive environment, SWOT analysis, and development plans for the coming years.

Provide detailed information on the key variables influencing market growth.

Examine individual future prospects, growth trends, and their impact on the whole market.

Analyze rational market developments including partnerships, expansions, new product launches, and acquisitions.

We deliberately profile significant players and rigorously investigate their growth tactics.

The Machinery industry’s size is thoroughly researched and forecasted in terms of value and volume.

Estimate market share for key segments in the Big Data en la fabricación market.

We examine the global development of the Big Data en la fabricación market.

To analyze and study micro-markets in terms of their contribution to the Big Data en la fabricación market, individual growth prospects and trends.

It offers accurate and useful details on the factors influencing the growth of the Big Data en la fabricación market.

An in-depth assessment of the key business strategies (R&D, collaborations, agreements, partnerships, acquisitions, mergers, new developments, product launches, etc.) employed by leading companies operating in the Big Data en la fabricación market.

Research methods

This study is based on detailed tactics developed by expert data analysts. The study approach include analysts gathering information that is thoroughly researched and sifted to produce crucial market projections throughout the research period. The research method also involves interviews with important market influencers, making the original study more relevant and practical. The secondary method provides direct insight into the supply-demand connection. The market methodology used in the study gives reliable data analysis and a tour of the market. Data was collected using both primary and secondary methodologies. Furthermore, to have a thorough understanding of the market, data analysts consult publically available materials such as annual reports and whitepapers.

Five Forces and PESTLE Analysis:

To better understand the market situation, a five-force analysis is conducted, including the bargaining power of buyers, the bargaining power of suppliers, the threat of new entrants, the threat of substitutes, and the threat of competition.

  • Politics (political stability, trade, finance, fiscal policy)
  • Economic (interest rates, employment/unemployment rates, raw material costs, exchange rates)
  • Social (family demographics, educational level, cultural trends, attitude and lifestyle changes)
  • Technologies (changes in digital or mobile technologies, automation, R&D)
  • Law (employment, consumer, health and safety, trade, and international regulations and prohibitions)
  • Environmental factors (climate, recycling practices, carbon footprint, waste disposal, sustainability)

Global Big Data en la fabricación Market Index Highlights:

Chapter 1 – Big Data en la fabricación Market Overview

Chapter 2 Market Overview

Chapter 3 – Key Elements of Success

Chapter 4 – Global Big Data en la fabricación Market – Price Analysis

Chapter 5 – Background or History of the Global Big Data en la fabricación Market

Chapter 6 – Global Big Data en la fabricación Market Segmentation (Types, Applications, etc.)

Chapter 7 – Global Big Data en la fabricación Market Analysis by Major and Emerging Countries

Chapter 8 – Global Big Data en la fabricación Market Structure and Value Analysis

Chapter 9 – Competitive analysis and challenges of the global Big Data en la fabricación market

Chapter 10 – Assumptions and Acronyms

Chapter 11 – Big Data en la fabricación Market Research Methodology

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