The Research begins with the Overview of Global Hadoop Market Analysing Industrial Chain, Sourcing Strategy, and Downstream Buyers. The Research also provide Information about Manufacturers, Market Competition, Cost, Market Effect Factors with Market Forecast (2018-2023). This enables the buyer of the report to gain a telescopic view of the competitive landscape and plan the strategies accordingly.
This report studies the global Hadoop Market status and forecast categorizes the global Hadoop market size (value & volume) by key players, type, application, and region. This report focuses on the top players in North America, Europe, Asia-Pacific, South America, and Middle East & Africa.
Hadoop, the Apache Hadoop developed by Apache Software Foundation, is an open-source software framework for storing data and running applications on clusters of commodity hardware
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It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.
The base Apache Hadoop framework is composed of the following modules:
Hadoop Common – contains libraries and utilities needed by other Hadoop modules
Hadoop Distributed File System (HDFS) – a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster;
Hadoop YARN – a platform responsible for managing computing resources in clusters and using them for scheduling users' applications; and
Hadoop MapReduce – an implementation of the MapReduce programming model for large-scale data processing.
The leading growing market is Asia Pacific, such as China, India, Japan, Korea, SEA, etc. USA and Europe are the mature market with relatively lower growth rate.
North America is the largest Hadoop market in the world these years, and USA is the largest country of Hadoop market in the world in the past few years and it will keep increasing in the next few years. USA market took up about 50% the global market in 2016 (90% of North America Hadoop market), while Europe was about 23.3%, and Asia-Pacific is followed with the share about 14.8%.
Segmentation by product type:
Segmentation by application:
USA is now the most key developers of Hadoop distributions. There are some vendors with poor quality or introduced products, but the Chinese market is still controlled by the abroad vendors.
And the high quality products are mainly supplied by overseas providers.
Cloudrea, Hortonworks, MapR Tech, Dell/EMC/Pivotal, IBM, Microsoft, Amazon Web Services are the key suppliers in the global Hadoop market. Top 3 took up about 56% of the global market in 2016.
Cloudrea, Hortonworks and MapR Tech are the most popular Hadoop distributions in the world.
Over the next five years, projects that Hadoop will register a 33.0% CAGR in terms of revenue, reach US$ 9400 million by 2023, from US$ 1700 million in 2017.
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report:
Amazon Web Services
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In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key manufacturers and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
To study and analyze the global Hadoop consumption (value & volume) by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of Hadoop market by identifying its various subsegments.
Focuses on the key global Hadoop manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Hadoop with respect to individual growth trends, future prospects, and their contribution to the total market.
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Table of Contents
2018-2023 Global Hadoop Market Report (Status and Outlook)
1 Scope of the Report
2 Executive Summary
3 Global Hadoop by Players
4 Hadoop by Regions
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