Hadoop has Become a Leading platform for Big Data Analytics Today

Hadoop has become a leading platform for big data analytics today. Hadoop-based applications are used by enterprises which require real-time analytics from data such as video, audio, email, machine generated data from a multitude of sensors and data from external sources such as social media and the internet. Hadoop-as-a-service enables technical experts of organizations to perform several operations which include big data management, big data analytics and big data storage in a cloud. The HaaS platform enables organizations to use Hadoop technology in a highly cost-effective manner, along with ensuring minimal consumption of time.

Hadoop-as-a-service is being widely accepted across various industries including IT, banking, manufacturing and telecommunication among others. One of the emerging trends in this market is the increased adoption of HaaS by small and medium enterprises (SMEs). In fact, SMEs have been among the earliest adopters of this technology and cloud computing, as this end-user segment is already conversant with the benefits associated with cloud computing. Owing to this, the HaaS providers are looking to capitalize on the increase in demand of this technology from the SME segment.

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One of the prominent factors which are primarily driving the global hadoop-as-a-service market is the increase in demand for cost effective solutions for the management of big data. The ability of Hadoop software to analyze and manage large amount of data effectively, along with the cost-efficient cloud computing technology, enables enterprises to manage big data of any size in a cost-effective manner. Other factors driving this market include decline in prices of cloud-based services, growing demand of HaaS from small and medium enterprises (SMEs), agility and flexibility for businesses. Moreover the need to reduce complexity and enhance technical expertise is boosting the market growth. However, unfamiliarity with the Hadoop technology or lack of awareness about is technology and lack of trained professionals is hindering the growth of the market.

The global Hadoop-as-a-Service market can be segmented on the basis of deployment type into run it yourself (RIY) HaaS and pure play/managed HaaS. The run it yourself deployment type is a more prominently used service in the current scenario in comparison to the pure play type.  On the basis of application, the global market can be bifurcated into various industry verticals including manufacturing, retail, healthcare, media & entertainment, information technology & information technology enabled services (IT & ITES), trade & transportation, banking, financial services and insurance (BFSI), telecommunication and government sector. In addition, the market can be broadly classified into four geographic regions, namely: North America, Europe, Asia Pacific, RoW (including Latin America and Middle East and Africa). In the global HaaS market, North America is the leading region, which is followed by Europe. The market is expected to expand in the developing regions such as Asia Pacific supported by several governments for reconfiguration of networks and effective installation for real time optimization.