Hadoop is a Java-based open source programming framework sponsored by Apache Software Foundation, which enables the processing of large data sets in a distributed computing environment. Hadoop has two main subprojects, namely – MapReduce and Hadoop Distributed File System (HDFS). MapReduce is a framework that assigns work to the clusters in a node, whereas HDFS is a file system used for data storage in a Hadoop cluster. Since its inception in 2009, the global market for Hadoop is growing at a healthy rate as it has emerged as one of the best tools to manage big data. Growing unstructured as well as structured data volume across different end use sectors such as retail, BFSI, healthcare, media and entertainment, and telecommunication among others is augmenting the demand for Hadoop solutions.
As a result of technological advancement, huge volumes of data are being generated by different electronic devices used in various end use segments such as Banking, Financial services and Insurance (BFSI), retail, telecommunication, healthcare, and government and public utilities among others. The data generated in the above mentioned end use segments include office productivity documents, e-mail, and web content along with social media data.
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Most of this data generated is unstructured and thus organizations are looking for a tool that could handle this unstructured data appropriately. Increased corporate spending to manage unstructured data has boosted the adaptation of Hadoop. Furthermore, Hadoop is cost effective and has low maintenance charges compared to other data frameworks such as relational database management system (RDBMS).
In addition, Hadoop has the ability to run on commodity hardware and the time taken to process the data is less. Asia Pacific has the largest number of internet users followed by Europe. In the near future, cell phones with high end internet connectivity are likely to gain more popularity and a healthy percentage of cell phone users are expected to use it for both commercial and personal purposes. Moreover, billions of people conduct different types of online transactions daily contributing to the generation of huge volume of data.
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For a better understanding of the Hadoop market, the key findings have been provided which discusses the various factors affecting the market globally. Furthermore, the market dynamics have also been provided which include the drivers, restraints and opportunities related to the Hadoop market. Furthermore, a porter’s five forces analysis has also been conducted to understand the external environment of the market. In addition, the key players in the market have been profiled on the basis of key developments, product segments, business strategies and financial overview. The leading players in Hadoop market include Cloudera, Inc, Hortonworks Inc, IBM, Pentaho, MapR Technologies, Inc., EMC Corporation, Cisco Systems, Karmasphere Inc., Teradata Corporation and Zettaset, Inc.
The global Hadoop market can be segmented as follows;-
Global Hadoop Market, By Type
Software
Hardware
Services
Global Hadoop Market, By End use Industry
Banking, Financial services and Insurance (BFSI)
Retail
Manufacturing
Telecommunication
Media Entertainment
Natural Resources
Trade and Transport
Government
IT and ITES
Others
Global Hadoop Market, By Geography
North America
U.S.
Canada
Mexico
Europe
U.K.
Germany
France
Italy
Rest of Europe
Asia-Pacific
China
India
Japan
Singapore
Australia
Hong Kong
Rest of Asia Pacific
Rest of the World (RoW)
Middle East
Africa
South America
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