Big Data

Big Data Analytics in Manufacturing Industry Market Size and Latest Trends Analysis Forecast by Growing Status of Top Key Players 2021-2024


Big Data Analytics in Manufacturing Industry

Our new report on “Big Data Analytics in Manufacturing Industry Market” provides elaborated market overview with drivers and restraints, market segmentation, and competitive landscape of industry. The report gives facts about market investment policies, regional trends with top manufacturers outlook. The Big Data Analytics in Manufacturing Industry market report delivers growth opportunities by companies, types and applications, end-user industry and by regions. Top key players are profiles with qualitative insights of sales data, historical and future assessment, market valuation and revenue prediction over the forecast period.

Big Data Analytics in Manufacturing Industry Market Segmentation by Top Key Players:

  • Fair Isaac Corporation
  • Angoss Software Corporation
  • Alteryx Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Tibco Software Inc. (Alpine Data)
  • SAS Institute Inc.
  • SAP SE
  • Oracle Corporation
  • RapidMiner Inc.
  • MicroStrategy Incorporated
  • Knime AG

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    Big Data Analytics in Manufacturing Industry Market Dynamics: –

    • Drivers: (Developing regions and growing markets)
    • Limitations: (Regional, Key Player facing Issues, Future Barriers for growth)
    • Opportunities: (Regional, Growth Rate, Competitive, Consumption)

    Market Overview:

  • The Big Data Analytics In Manufacturing Industry Market is expected to register a CAGR of over 30.9% during the forecast period 2019 – 2024. With the high rate of adoption of sensors and connected devices and the enabling of M2M communication, there has been a massive increase in the data points that are generated in the manufacturing industry. These data points could be of various types, ranging from a metric detailing the time taken for a material to pass through one process cycle or a more complex one, such as the calculation of the material stress capability in the automotive industry.
  • Manufacturing is a crucial component of a company’s end-to-end supply chain. The value chain participants, like Raw material suppliers, Inventory managers, and Manufacturers have moved from manual product, tracking to the use of barcode scanners and investing in technologies, like RFID and sensors to monitor the stock, production processes, and ascertain when maintenance is required and to take action before the production quality is affected. Such technology adoption was made to monitor aging manufacturing equipment, in order to avoid production downtime, which could be as high as EUR 180 billion (for Britain’s manufacturers, according to Oneserve, the field service management company).
  • In addition to monitoring the asserts, these technologies are being used to gain information about the location of raw materials and finished products within the production facility, to know the status of the availability status (both volume and location data). In addition, advancement in UHF technology has made creating RFID systems more efficient and evolved in such a way that they are able to identify raw material/product specifications like SKU, color, and type thus improving the traceability throughout the supply chain.
  • Manufacturing is one of the most targeted industries by cyber attackers owing to the presence of vital data related to company and government. According to EEF (formerly the Engineering Employers’ Federation), over 45% of the manufacturers have been subjected to a cybersecurity incident.
  • With the increasing integration of technological advancements in the manufacturing industry, the security concerns are also ascending at a significant pace.
  • Scope of the Report:

    The manufacturing industry has evolved since the last industrial revolution. Technology has played a critical role in shaping the modern manufacturing industry. With the introduction of Industry 4.0, the production establishments took a step forward and implemented many IoT and IIoT solutions to get live feedback from factories and working environments. With the implementation of Machine to Machine services and telematics solutions in production establishments, the industry has moved from the traditional value chain to technology, asset, and engineering-oriented value chain

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    Key Insights of Big Data Analytics in Manufacturing Industry Market:

    • Complete in-depth analysis of the Big Data Analytics in Manufacturing Industry
    • Important changes in market dynamics.
    • Segmentation analysis of the market.
    • Emerging segments and regional markets.
    • Historical, on-going, and projected market analysis based on volume and esteem.
    • Assessment of niche industry players.
    • Market share analysis.
    • Key strategies of major players

    The report provides key statistics on the market status of the Big Data Analytics in Manufacturing Industry Market manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the Big Data Analytics in Manufacturing Industry.

    Some Questions Covered in the Report:

    • What is the size of the overall Big Data Analytics in Manufacturing Industry market and its segments?
    • What are the key segments and sub-segments in the market?
    • What are the key drivers, restraints, opportunities and challenges of the Big Data Analytics in Manufacturing Industry market and how they are expected to impact the market?
    • What are the attractive investment opportunities within the Big Data Analytics in Manufacturing Industry market?
    • What is the Big Data Analytics in Manufacturing Industry market size at the regional and country-level?
    • Who are the key market players and their key competitors?
    • What are the strategies for growth adopted by the key players in Big Data Analytics in Manufacturing Industry market?
    • What are the recent trends in Big Data Analytics in Manufacturing Industry market? (M&A, partnerships, new product developments, expansions)?
    • What are the challenges to the Big Data Analytics in Manufacturing Industry market growth?
    • What are the key market trends impacting the growth of Big Data Analytics in Manufacturing Industry market?

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    Big Data Analytics in Manufacturing Industry Market Report Highlights:

    • The Big Data Analytics in Manufacturing Industry market report provides deep insights into demand forecasts, market trends, and micro and macro indicators.
    • In addition, the Big Data Analytics in Manufacturing Industry market report provides insights into the factors that are driving and restraining the demand for the application security market. Moreover, the study highlights current market trends and offers a forecast.
    • The market report also has highlighted future trends in the application security market that will impact the demand during the forecast period.
    • Moreover, the competitive analysis of the application security market brings insight into the product usability profiles of the leading players.
    • Additionally, this report analysis highlights features & pricing, informant reviews of the key products in the market.

    Big Data Analytics in Manufacturing Industry Market Report Covers Following Points in TOC:

    • Chapter 1: Big Data Analytics in Manufacturing Industry Market Definition
    • Chapter 2: Research Methodology of Big Data Analytics in Manufacturing Industry Market
    • Chapter 3: Big Data Analytics in Manufacturing Industry Market Executive Summary
    • Chapter 4: Big Data Analytics in Manufacturing Industry Market Overview Includes Current Market Scenario, Porter’s Five Forces Analysis, Bargaining Power of Suppliers and Consumers, Threat of New Entrants and Substitute Product and Services
    • Chapter 5: Market Dynamics Covers Drivers, Restraints, Opportunities and Challenges
    • Chapter 6: Big Data Analytics in Manufacturing Industry Market Segmentation by Types, End-User, and Applications Forecast to 2024
    • Chapter 7: Big Data Analytics in Manufacturing Industry Market Segmentation by Geographical Regions
    • Chapter 8: Competitive Landscape of Big Data Analytics in Manufacturing Industry Market Includes Mergers & Acquisition Analysis, Agreements, Collaborations, and Partnerships, New Products Launches
    • Chapter 9: Key Players for Big Data Analytics in Manufacturing Industry Market

    For Detailed TOC Click Here

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