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Global Storage in Big Data Market Size, Status and Forecast 2019-2025

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Table of Contents

    1 Report Overview

    • 1.1 Study Scope
    • 1.2 Key Market Segments
    • 1.3 Players Covered
    • 1.4 Market Analysis by Type
      • 1.4.1 Global Storage in Big Data Market Size Growth Rate by Type (2014-2025)
      • 1.4.2 Hardware
      • 1.4.3 Software
      • 1.4.4 Service
    • 1.5 Market by Application
      • 1.5.1 Global Storage in Big Data Market Share by Application (2019-2025)
      • 1.5.2 BFSI
      • 1.5.3 IT and Telecommunications
      • 1.5.4 Transportation
      • 1.5.5 Logistics & Retail
      • 1.5.6 Healthcare and Medical
      • 1.5.7 Others
    • 1.6 Study Objectives
    • 1.7 Years Considered

    2 Global Growth Trends

    • 2.1 Storage in Big Data Market Size
    • 2.2 Storage in Big Data Growth Trends by Regions
      • 2.2.1 Storage in Big Data Market Size by Regions (2019-2025)
      • 2.2.2 Storage in Big Data Market Share by Regions (2014-2019)
    • 2.3 Industry Trends
      • 2.3.1 Market Top Trends
      • 2.3.2 Market Drivers
      • 2.3.3 Market Challenges
      • 2.3.4 Porter’s Five Forces Analysis

    3 Market Share by Key Players

    • 3.1 Storage in Big Data Market Size by by Players
      • 3.1.1 Global Storage in Big Data Revenue by by Players (2014-2019)
      • 3.1.2 Global Storage in Big Data Revenue Market Share by by Players (2014-2019)
      • 3.1.3 Global Storage in Big Data Market Concentration Ratio (CR5 and HHI)
    • 3.2 Storage in Big Data Key Players Head office and Area Served
    • 3.3 Key Players Storage in Big Data Product/Solution/Service
    • 3.4 Date of Enter into Storage in Big Data Market
    • 3.5 Mergers & Acquisitions, Expansion Plans

    4 Breakdown Data by Type and Application

    • 4.1 Global Storage in Big Data Market Size by Type (2014-2019)
    • 4.2 Global Storage in Big Data Market Size by Application (2014-2019)

    5 North America

    • 5.1 North America Storage in Big Data Market Size (2014-2019)
    • 5.2 Storage in Big Data Key Players in North America
    • 5.3 North America Storage in Big Data Market Size by Type
    • 5.4 North America Storage in Big Data Market Size by Application

    6 Europe

    • 6.1 Europe Storage in Big Data Market Size (2014-2019)
    • 6.2 Storage in Big Data Key Players in Europe
    • 6.3 Europe Storage in Big Data Market Size by Type
    • 6.4 Europe Storage in Big Data Market Size by Application

    7 China

    • 7.1 China Storage in Big Data Market Size (2014-2019)
    • 7.2 Storage in Big Data Key Players in China
    • 7.3 China Storage in Big Data Market Size by Type
    • 7.4 China Storage in Big Data Market Size by Application

    8 Japan

    • 8.1 Japan Storage in Big Data Market Size (2014-2019)
    • 8.2 Storage in Big Data Key Players in Japan
    • 8.3 Japan Storage in Big Data Market Size by Type
    • 8.4 Japan Storage in Big Data Market Size by Application

    9 Southeast Asia

    • 9.1 Southeast Asia Storage in Big Data Market Size (2014-2019)
    • 9.2 Storage in Big Data Key Players in Southeast Asia
    • 9.3 Southeast Asia Storage in Big Data Market Size by Type
    • 9.4 Southeast Asia Storage in Big Data Market Size by Application

    10 India

    • 10.1 India Storage in Big Data Market Size (2014-2019)
    • 10.2 Storage in Big Data Key Players in India
    • 10.3 India Storage in Big Data Market Size by Type
    • 10.4 India Storage in Big Data Market Size by Application

    11 Central & South America

    • 11.1 Central & South America Storage in Big Data Market Size (2014-2019)
    • 11.2 Storage in Big Data Key Players in Central & South America
    • 11.3 Central & South America Storage in Big Data Market Size by Type
    • 11.4 Central & South America Storage in Big Data Market Size by Application

    12 International Players Profiles

    • 12.1 Google
      • 12.1.1 Google Company Details
      • 12.1.2 Company Description and Business Overview
      • 12.1.3 Storage in Big Data Introduction
      • 12.1.4 Google Revenue in Storage in Big Data Business (2014-2019))
      • 12.1.5 Google Recent Development
    • 12.2 Microsoft Corporation
      • 12.2.1 Microsoft Corporation Company Details
      • 12.2.2 Company Description and Business Overview
      • 12.2.3 Storage in Big Data Introduction
      • 12.2.4 Microsoft Corporation Revenue in Storage in Big Data Business (2014-2019)
      • 12.2.5 Microsoft Corporation Recent Development
    • 12.3 Amazon Web Services
      • 12.3.1 Amazon Web Services Company Details
      • 12.3.2 Company Description and Business Overview
      • 12.3.3 Storage in Big Data Introduction
      • 12.3.4 Amazon Web Services Revenue in Storage in Big Data Business (2014-2019)
      • 12.3.5 Amazon Web Services Recent Development
    • 12.4 VMware Inc.
      • 12.4.1 VMware Inc. Company Details
      • 12.4.2 Company Description and Business Overview
      • 12.4.3 Storage in Big Data Introduction
      • 12.4.4 VMware Inc. Revenue in Storage in Big Data Business (2014-2019)
      • 12.4.5 VMware Inc. Recent Development
    • 12.5 IBM Corporation
      • 12.5.1 IBM Corporation Company Details
      • 12.5.2 Company Description and Business Overview
      • 12.5.3 Storage in Big Data Introduction
      • 12.5.4 IBM Corporation Revenue in Storage in Big Data Business (2014-2019)
      • 12.5.5 IBM Corporation Recent Development
    • 12.6 Dell EMC
      • 12.6.1 Dell EMC Company Details
      • 12.6.2 Company Description and Business Overview
      • 12.6.3 Storage in Big Data Introduction
      • 12.6.4 Dell EMC Revenue in Storage in Big Data Business (2014-2019)
      • 12.6.5 Dell EMC Recent Development
    • 12.7 SAS Institute
      • 12.7.1 SAS Institute Company Details
      • 12.7.2 Company Description and Business Overview
      • 12.7.3 Storage in Big Data Introduction
      • 12.7.4 SAS Institute Revenue in Storage in Big Data Business (2014-2019)
      • 12.7.5 SAS Institute Recent Development
    • 12.8 Oracle Corporation
      • 12.8.1 Oracle Corporation Company Details
      • 12.8.2 Company Description and Business Overview
      • 12.8.3 Storage in Big Data Introduction
      • 12.8.4 Oracle Corporation Revenue in Storage in Big Data Business (2014-2019)
      • 12.8.5 Oracle Corporation Recent Development
    • 12.9 SAP SE
      • 12.9.1 SAP SE Company Details
      • 12.9.2 Company Description and Business Overview
      • 12.9.3 Storage in Big Data Introduction
      • 12.9.4 SAP SE Revenue in Storage in Big Data Business (2014-2019)
      • 12.9.5 SAP SE Recent Development
    • 12.10 Teradata Corporation
      • 12.10.1 Teradata Corporation Company Details
      • 12.10.2 Company Description and Business Overview
      • 12.10.3 Storage in Big Data Introduction
      • 12.10.4 Teradata Corporation Revenue in Storage in Big Data Business (2014-2019)
      • 12.10.5 Teradata Corporation Recent Development
    • 12.11 Hewlett Packard Enterprise
    • 12.12 Hitachi Data Systems Corporation
    • 12.13 MemSQL

    13 Market Forecast 2019-2025

    • 13.1 Market Size Forecast by Product (2019-2025)
    • 13.2 Market Size Forecast by Application (2019-2025)
    • 13.3 Market Size Forecast by Regions
    • 13.4 North America
    • 13.5 Europe
    • 13.6 China
    • 13.7 Japan
    • 13.8 Southeast Asia
    • 13.9 India
    • 13.10 Central & South America

    14 Analyst's Viewpoints/Conclusions

      15 Appendix

      • 15.1 Research Methodology
        • 15.1.1 Methodology/Research Approach
          • 15.1.1.1 Research Programs/Design
          • 15.1.1.2 Market Size Estimation
          • 15.1.1.3 Market Breakdown and Data Triangulation
        • 15.1.2 Data Source
          • 15.1.2.1 Secondary Sources
          • 15.1.2.2 Primary Sources
      • 15.2 Disclaimer

      Big data storage is a storage infrastructure that is designed specifically to store, manage and retrieve massive amounts of data, or big data. Big data storage enables the storage and sorting of big data in such a way that it can easily be accessed, used and processed by applications and services working on big data.
      In 2018, the global Storage in Big Data market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

      This report focuses on the global Storage in Big Data status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Storage in Big Data development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

      The key players covered in this study
      Google
      Microsoft Corporation
      Amazon Web Services
      VMware Inc.
      IBM Corporation
      Dell EMC
      SAS Institute
      Oracle Corporation
      SAP SE
      Teradata Corporation
      Hewlett Packard Enterprise
      Hitachi Data Systems Corporation
      MemSQL

      Market segment by Type, the product can be split into
      Hardware
      Software
      Service

      Market segment by Application, split into
      BFSI
      IT and Telecommunications
      Transportation
      Logistics & Retail
      Healthcare and Medical
      Others

      Market segment by Regions/Countries, this report covers
      North America
      Europe
      China
      Japan
      Southeast Asia
      India
      Central & South America

      The study objectives of this report are:
      To analyze global Storage in Big Data status, future forecast, growth opportunity, key market and key players.
      To present the Storage in Big Data development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
      To strategically profile the key players and comprehensively analyze their development plan and strategies.
      To define, describe and forecast the market by product type, market and key regions.

      In this study, the years considered to estimate the market size of Storage in Big Data are as follows:
      History Year: 2014-2018
      Base Year: 2018
      Estimated Year: 2019
      Forecast Year 2019 to 2025
      For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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