GVR Report cover U.S. Hadoop Market Size, Share & Trends Report

U.S. Hadoop Market (2019 To 2025) Size, Share & Trends Analysis Report By Technology, By Application, Regional Outlook, Competitive Strategies, And Segment Forecasts

The U.S. hadoop market is expected to witness considerable growth over the next few years owing to the growing volume of raw, structured & unstructured data coupled with increasing demand for big data analytics. The technology provides fast as well as cost-effective data processing services, which is expected to fuel market growth over the next few years. Further, the need to maintain inventory, analyze consumer behavior, target marketing strategies on the basis of consumer preferences are some of the key factors expected to spur market demand. Social media proliferation has necessitated the need to manage a huge amount of data efficiently and effectively, which is also expected to drive market growth over the forecast period.

Hadoop is a distributed processing technology, mainly used in big data analytics. The technology is used across several application areas including healthcare BFSI, retail, media & entertainment, government, telecommunication, and life science. The surge in demand from several SMEs along with the availability of cost-effective cloud services is also expected to drive the U.S. hadoop market growth. Furthermore, the need to provide flexibility as well as agility to businesses provides opportunities for market growth. However, data privacy and distributed computing pose a serious threat to the market growth. Lack of technical expertise and awareness among consumers is also expected to hinder the market growth. The prevalence of numerous hadoop providers and technology vendors in the U.S. is expected to fuel the regional market growth over the forecast period.

Key Industry participants of the U.S. hadoop market include Teradata Corporation, Pentaho Corporation, MapR Technologies, Karmasphere Inc., Hortonworks Inc., Datameer Inc., Cloudera Inc., Cisco Systems, MarkLogic and Amazon Web Services.

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