New York, May 08, 2018: The scope of the report includes a detailed study of global and regional markets for various types of hadoop with the reasons given for variations in the growth of the industry in certain regions.

    Hadoop is open source technology used for storing and organizing data in a bunch of commodity hardware. Hadoop gives very big amount of data storage and it stores any type of data quickly, massive processing power and handle almost infinite parallel jobs or tasks. To store big amount of data commodity hardware is used which is having very low cost and system can be developed by adding additional nodes. In hadoop we store large amount of data when we want and later on decide how to use, this contain unstructured data such as text, graphs, images, audio and video. It automatically stores more copies of all data and protect data from hardware failure. If any node is fail then task is automatically redirected to another node.

    The Hadoop market is expected to exceed more than USD 50.0 Billion by 2022.

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    The hadoop market’s  geographic segmentation covers various regions such as North America, Europe, Asia Pacific, Latin America, Middle East and Africa. Each geography market is further segmented to provide market revenue for select countries such as the U.S., Canada, U.K. Germany, China, Japan, India, Brazil, and GCC countries.

    This report provides:

    1) An overview of the global market for hadoop and related technologies.
    2) Analyses of global market trends, with data from 2015, estimates for 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2022.
    3) Identifications of new market opportunities and targeted promotional plans for hadoop
    4) Discussion of research and development, and the demand for new products and new applications.
    5) Comprehensive company profiles of major players in the industry.

    The major driving factors of Hadoop market are as follows:

    • Quick data processing and cost-effectiveness
    • Huge amount of unstructured data
    • Rising demand for data analytics
    • Fill space between manager and DBMS

    The restraining factors of Hadoop market are as follows:

    • Issues related security
    • Distributed computing
    • Unavailability of skilled persons
    • Lower acceptance of hadoop technology

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    The hadoop market is segmented on the lines of its software, hardware, applications and end user. The hadoop market is segmented on the lines of its software like application software, packaged software, management software and performance monitoring software. Under hardware segmentation it covered servers, storage and network equipment. The hadoop market is segmented on the lines of its service like consulting services, Hadoop training and outsourcing services, integration and deployment services, and middleware and support services The hadoop market is segmented on the lines of its end user like manufacturing, BFSI, government sector, retail, trade and transportation, IT and ITES, media and entertainment, healthcare, hospitality and telecommunication.

    The Hadoop Market has been segmented as below:  

    by Software Analysis

    • Application software
    • Packaged software
    • Management software and
    • Performance monitoring software

    by Hardware Analysis

    • Servers
    • Storage and
    • Network equipment market

    by Services

    • Consulting services
    • Hadoop training and outsourcing services
    • Integration and deployment services
    • Middleware and support services market

    by End User Application

    • Manufacturing
    • BFSI
    • Government sector
    • Retail
    • Trade and transportation
    • IT and ITES
    • Media and entertainment
    • Healthcare
    • Hospitality
    • Telecommunication

    by Regional Analysis

    • North America
    • Europe
    • Asia-Pacific
    • Rest of the World

    Reasons to Buy this Report:

    1) Obtain the most up to date information available on all active and planned hadoop  industry globally.
    2) Identify growth segments and opportunities in the industry.
    3) Facilitate decision making on the basis of strong historic and forecast of hadoop industry and unit capacity data.
    4) Assess your competitor’s refining portfolio and its evolution.

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