Ontario, CA -- (SBWIRE) -- 04/10/2020 -- Hadoop is an open source software platform developed by Apache Software Foundation for scalable and distributed computing of large volume of data. It provides high performance and cost effective analysis of Big Data generated by the enterprises through digital platforms. Big Data is large amount of data set whose size or type is beyond the ability to be processed traditionally. It consist of three types of data sets namely saturated data, Semi-structured data and unsaturated data. Big Data comprises of three main components such as volume, velocity and variety. Data sets corresponds to the contents of single database table or single statistical data matrix. It can be in Terabytes and Petabytes. In Hadoop market, the enterprises use Hadoop's open source component to store, process and analyze the large amount of data generated through digitally to remain, competent in market as well as forecast the market with end users to increase the business activity.

In 2018, the global Hadoop Market size was 1761.94 million US$ and it is expected to reach 6589.47 million US$ by the end of 2025, with a CAGR of 20.76% during 2019-2025.

Apache Hadoop is an open source of framework written in Java which allows operation on large datasets stored in distributed file system. The data generated extremely in large quantity from single or multiple sources at high pace is known as Big Data. Big Data represents next generation in data analytics and visualization. It provides the organization with large amount of data sets which can be used for analysis, Optimization and implementation of new strategy to move to next level. Hadoop consist of four main components such as MapReduce, HDFS, Hadoop common and Hadoop YARN. As the name suggest MapReduce does mapping of the data where the data set is broken down into value pairs and then that data is passed on to reduce where the output from map task is further broken down in value pairs and reduce task was performed. The Hadoop distributed file system (HDFS) which allows the data to be stored in accessible format across large number of linked storage devices. Hadoop common is a set of services used by other Hadoop components.

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Segment by Key players:
- Cloudrea
- Hortonworks
- MapR Tech
- Dell/EMC/Pivotal
- IBM
- Microsoft
- Amazon Web Services

Segment by Type:
- Cloud-based Hadoop
- On-premises Hadoop

Segment by Application:
- Manufacturing
- Retail
- Financial
- Government
- Others

Segment by Regions:
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East & Africa

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Table of Content:

1. Executive Summary

2. Assumptions and Acronyms Used

3. Research Methodology

4. Hadoop Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Hadoop Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Hadoop Market - Supply Chain
4.5. Global Hadoop Market Forecast
4.5.1. Hadoop Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Hadoop Market Size (000' Units) and Y-o-Y Growth
4.5.3. Hadoop Market Absolute $ Opportunity

5. Global Hadoop Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Hadoop Market Size and Volume Forecast by Type
5.3.1. Fabricated Frame
5.3.2. Tube and Coupler
5.3.3. Mobile
5.3.4. Pole
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type

6. Global Hadoop Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Hadoop Market Size and Volume Forecast by Application
6.3.1. Personal Decoration
6.3.2. Commercial Decoration
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application

7. Global Hadoop Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Hadoop Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel

8. Global Hadoop Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Hadoop Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Hadoop Demand Share Forecast, 2019-2029

Continued……

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