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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. Tremendous increase of data across different application sectors such as retail, BFSI, healthcare, media and entertainment, and telecommunication among others are supporting the growth of Hadoop solutions.
The global Hadoop market was valued at USD 1.5 billion in 2012 and is expected to reach USD 20.9 billion in 2018, at a CAGR of 54.7% from 2012 to 2018. With increase in the massive amount of data generated every day, the global Hadoop market is expected to exhibit healthy growth during the forecast period. Companies such as eBay, Walmart, and J.P. Morgan among others across the globe, store massive amounts of data, which are difficult to handle with the help of other conventional tools such as relational database management systems (RDBMS). Thus, these companies require a tool that will easily retrieve the required data from their data warehouse and utilize it in the best possible manner. Hadoop is gaining popularity as it has emerged as one of the best tools to manage big data.
The demand for Hadoop is increasing globally due to its capability to access data faster and at cheaper cost as compared to RDBMS. Moreover, the exponential increase in the amount of data generated across different application sectors such as retail, BFSI, government and healthcare among others is also fueling the growth of Hadoop solutions. Currently, a major challenge affecting the market growth is unavailability of experienced and qualified work professionals who could handle Hadoop efficiently. Additionally, lower adoption of Hadoop architecture is also restricting the market, primarily in developing regions such as Asia Pacific and RoW.
Hadoop can run on commodity hardware and the time taken to process data is also less. Hadoop costs about USD 4,000 for one terabyte of data, whereas RDBMS may cost about USD 10,000 to USD 14,000 for the same amount of data. In addition to this, maintenance cost may also highly vary between RDBMS and Hadoop. The hourly operational cost for Hadoop is about USD 32 which is much less then than the operational cost associated with RDBMS, i.e., about USD 98.87. In 2012, The Data Warehousing Institute was able to process 10% of its sales data in six weeks by using the old systems before Hadoop, but today the company is able to handle all of its sales in just one day by using Hadoop. Therefore, the demand for Hadoop has been increasing greatly among almost all the application sectors where huge amount of data is generated on a daily basis.
Among the different application sectors, telecommunication is expected to witness fastest growth during the forecasted period and this sector is expected to implement Hadoop primarily for call records. Currently, the government sector is the largest application segment for Hadoop. Government agencies have started using Hadoop in order to handle the huge amount of data generated by them. The retail sector is also expected to witness exponential growth during the forecasted period due to the huge amount of data generated in this sector to analyze and understand consumer preferences. For example, Walmart is dealing with vast amount of data generated through e-commerce systems, marketing-analytics software and inventory systems and have moved completely to Hadoop for handling its big data.
North America is the largest regional market for Hadoop solutions followed by Europe. The region has seen significant growth in the Hadoop services market since its inception. Along with internet players, retail is also contributing greatly to the growth of Hadoop in North America. Government agencies such as Obama Administration Big Data Initiative, U.S. Intelligence Agencies, U.S. Department of Defense, U.S. Civilian Departments and Agencies and other government entities are using Hadoop for analyzing the data generated by these agencies. 
The Hadoop market is dominated by several major players such as Cloudera, Inc. Hortonworks, MapR, IBM, Karmasphere, Greenplum, EMC Greenplum, HP and many more. The leading players of the Hadoop market are acquiring the smaller players to strengthen their product offerings. For example, EMC acquired Greenplum in 2010 to strengthen its position in the market. Such acquisitions and mergers are expected to rise in the estimated period. The players in this market are undertaking acquisitions and mergers in order to expand their market and acquire additional revenue through Hadoop solutions.
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