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Global Non-Relational Databases 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 Non-Relational Databases Market Size Growth Rate by Type (2014-2025)
      • 1.4.2 On-Premise
      • 1.4.3 Cloud-Based
    • 1.5 Market by Application
      • 1.5.1 Global Non-Relational Databases Market Share by Application (2019-2025)
      • 1.5.2 SME (Small and Medium Enterprises)
      • 1.5.3 Large Enterprise
    • 1.6 Study Objectives
    • 1.7 Years Considered

    2 Global Growth Trends

    • 2.1 Non-Relational Databases Market Size
    • 2.2 Non-Relational Databases Growth Trends by Regions
      • 2.2.1 Non-Relational Databases Market Size by Regions (2019-2025)
      • 2.2.2 Non-Relational Databases 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 Non-Relational Databases Market Size by by Players
      • 3.1.1 Global Non-Relational Databases Revenue by by Players (2014-2019)
      • 3.1.2 Global Non-Relational Databases Revenue Market Share by by Players (2014-2019)
      • 3.1.3 Global Non-Relational Databases Market Concentration Ratio (CR5 and HHI)
    • 3.2 Non-Relational Databases Key Players Head office and Area Served
    • 3.3 Key Players Non-Relational Databases Product/Solution/Service
    • 3.4 Date of Enter into Non-Relational Databases Market
    • 3.5 Mergers & Acquisitions, Expansion Plans

    4 Breakdown Data by Type and Application

    • 4.1 Global Non-Relational Databases Market Size by Type (2014-2019)
    • 4.2 Global Non-Relational Databases Market Size by Application (2014-2019)

    5 North America

    • 5.1 North America Non-Relational Databases Market Size (2014-2019)
    • 5.2 Non-Relational Databases Key Players in North America
    • 5.3 North America Non-Relational Databases Market Size by Type
    • 5.4 North America Non-Relational Databases Market Size by Application

    6 Europe

    • 6.1 Europe Non-Relational Databases Market Size (2014-2019)
    • 6.2 Non-Relational Databases Key Players in Europe
    • 6.3 Europe Non-Relational Databases Market Size by Type
    • 6.4 Europe Non-Relational Databases Market Size by Application

    7 China

    • 7.1 China Non-Relational Databases Market Size (2014-2019)
    • 7.2 Non-Relational Databases Key Players in China
    • 7.3 China Non-Relational Databases Market Size by Type
    • 7.4 China Non-Relational Databases Market Size by Application

    8 Japan

    • 8.1 Japan Non-Relational Databases Market Size (2014-2019)
    • 8.2 Non-Relational Databases Key Players in Japan
    • 8.3 Japan Non-Relational Databases Market Size by Type
    • 8.4 Japan Non-Relational Databases Market Size by Application

    9 Southeast Asia

    • 9.1 Southeast Asia Non-Relational Databases Market Size (2014-2019)
    • 9.2 Non-Relational Databases Key Players in Southeast Asia
    • 9.3 Southeast Asia Non-Relational Databases Market Size by Type
    • 9.4 Southeast Asia Non-Relational Databases Market Size by Application

    10 India

    • 10.1 India Non-Relational Databases Market Size (2014-2019)
    • 10.2 Non-Relational Databases Key Players in India
    • 10.3 India Non-Relational Databases Market Size by Type
    • 10.4 India Non-Relational Databases Market Size by Application

    11 Central & South America

    • 11.1 Central & South America Non-Relational Databases Market Size (2014-2019)
    • 11.2 Non-Relational Databases Key Players in Central & South America
    • 11.3 Central & South America Non-Relational Databases Market Size by Type
    • 11.4 Central & South America Non-Relational Databases Market Size by Application

    12 International Players Profiles

    • 12.1 IBM
      • 12.1.1 IBM Company Details
      • 12.1.2 Company Description and Business Overview
      • 12.1.3 Non-Relational Databases Introduction
      • 12.1.4 IBM Revenue in Non-Relational Databases Business (2014-2019))
      • 12.1.5 IBM Recent Development
    • 12.2 FileMaker
      • 12.2.1 FileMaker Company Details
      • 12.2.2 Company Description and Business Overview
      • 12.2.3 Non-Relational Databases Introduction
      • 12.2.4 FileMaker Revenue in Non-Relational Databases Business (2014-2019)
      • 12.2.5 FileMaker Recent Development
    • 12.3 Oracle
      • 12.3.1 Oracle Company Details
      • 12.3.2 Company Description and Business Overview
      • 12.3.3 Non-Relational Databases Introduction
      • 12.3.4 Oracle Revenue in Non-Relational Databases Business (2014-2019)
      • 12.3.5 Oracle Recent Development
    • 12.4 Neo4j
      • 12.4.1 Neo4j Company Details
      • 12.4.2 Company Description and Business Overview
      • 12.4.3 Non-Relational Databases Introduction
      • 12.4.4 Neo4j Revenue in Non-Relational Databases Business (2014-2019)
      • 12.4.5 Neo4j Recent Development
    • 12.5 InterSystems
      • 12.5.1 InterSystems Company Details
      • 12.5.2 Company Description and Business Overview
      • 12.5.3 Non-Relational Databases Introduction
      • 12.5.4 InterSystems Revenue in Non-Relational Databases Business (2014-2019)
      • 12.5.5 InterSystems Recent Development
    • 12.6 Microsoft
      • 12.6.1 Microsoft Company Details
      • 12.6.2 Company Description and Business Overview
      • 12.6.3 Non-Relational Databases Introduction
      • 12.6.4 Microsoft Revenue in Non-Relational Databases Business (2014-2019)
      • 12.6.5 Microsoft Recent Development
    • 12.7 AWS
      • 12.7.1 AWS Company Details
      • 12.7.2 Company Description and Business Overview
      • 12.7.3 Non-Relational Databases Introduction
      • 12.7.4 AWS Revenue in Non-Relational Databases Business (2014-2019)
      • 12.7.5 AWS Recent Development
    • 12.8 Google
      • 12.8.1 Google Company Details
      • 12.8.2 Company Description and Business Overview
      • 12.8.3 Non-Relational Databases Introduction
      • 12.8.4 Google Revenue in Non-Relational Databases Business (2014-2019)
      • 12.8.5 Google Recent Development
    • 12.9 Datastax(Aurelius)
      • 12.9.1 Datastax(Aurelius) Company Details
      • 12.9.2 Company Description and Business Overview
      • 12.9.3 Non-Relational Databases Introduction
      • 12.9.4 Datastax(Aurelius) Revenue in Non-Relational Databases Business (2014-2019)
      • 12.9.5 Datastax(Aurelius) Recent Development
    • 12.10 Sparsity Technologies
      • 12.10.1 Sparsity Technologies Company Details
      • 12.10.2 Company Description and Business Overview
      • 12.10.3 Non-Relational Databases Introduction
      • 12.10.4 Sparsity Technologies Revenue in Non-Relational Databases Business (2014-2019)
      • 12.10.5 Sparsity Technologies Recent Development
    • 12.11 Teradata

    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

      Non-relational databases do not use the rows/columns table format of relational databases. They have different and varying frameworks of storing and modeling data. By relaxing certain rules these databases provide increased scalability and availability. The term “non-relational database” is sometimes used synonymously with NoSQL databases. Document-oriented databases, key-value databases, object databases and graph databases are non-relational databases.
      In 2018, the global Non-Relational Databases 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 Non-Relational Databases status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Non-Relational Databases development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

      The key players covered in this study
      IBM
      FileMaker
      Oracle
      Neo4j
      InterSystems
      Microsoft
      AWS
      Google
      Datastax(Aurelius)
      Sparsity Technologies
      Teradata

      Market segment by Type, the product can be split into
      On-Premise
      Cloud-Based

      Market segment by Application, split into
      SME (Small and Medium Enterprises)
      Large Enterprise

      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 Non-Relational Databases status, future forecast, growth opportunity, key market and key players.
      To present the Non-Relational Databases 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 Non-Relational Databases 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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