The analysts forecast global Hadoop market to grow at a CAGR of 59.37% during the period 2016-2020. The report covers the present scenario and the growth prospects of the global Hadoop market for 2016-2020. To calculate the market size, the report considers revenue generated from the sales of Hadoop solutions with functionalities such as MapReduce, integrated solutions, and services (consultation, training, and maintenance). The revenue generated from after-sales services is not considered.
The following companies are the key players in the global Hadoop market: Cloudera, Hortonworks, MapR, Amazon Web Services, Cisco Systems, Datameer, IBM, Microsoft, Oracle, Pivotal, and Teradata. Other Prominent Vendors in the market are: Altiscale, Cask, Google, HP, Infochimps, Karmasphere, Mortar Data, and Pentaho.
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According to the Hadoop market report a key growth driver is the implementation of Hadoop to ensure optimal use of resources. Organizations offer Hadoop-based data management on a pay-per-use model via the cloud, preventing wastage of infrastructure and ensuring optimized use of storage space and server. With on-premises software, enterprises often pay for resources that they may never or rarely use. HDaaS solutions enable organizations to pay only for what is necessary and what they use. This helps enterprises track down the resources and ascertain the cost involved in managing the resources.
The global Hadoop market analyst said one trend that will boost market growth is the rising need to enhance flexibility and scalability to make operational decisions. Organizations undergo several complex changes such as network infrastructure expansion and growth in employee base. Hadoop solutions need to be scalable to meet the changing requirements of organizations. Scalable Hadoop solutions allow organizations to implement big data without any trouble. Organizations can reduce issues such as the compatibility and integration of large volumes of big data with existing hardware infrastructure with the help of these solutions.
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Global Hadoop Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
The increased amount of data on the internet from various modes such as web logs, online transactions, social media, and video streaming has forced organizations to take proactive measures to store and manage data and derive useful insights. According to analysts, approximately 7 zettabytes of data churned out from enterprises globally in 2015. Out of the total, more than 80% was unstructured data that came from social media platforms, clickstreams, server logs, sensors, and the Internet of Things. Storing useful information and deriving insights from unstructured data and real-time analytics are challenging tasks for organizations.
Hadoop played a pivotal role for enterprises over the past 4-5 years in handling the increase of data. Apache Hadoop is a framework that works on a clustered file system that can share multiple servers simultaneously. It is an open-source software platform that uses MapReduce technology, which is a programming model that allows for processing and generating large data sets with a distributed algorithm on a cluster. The technology involves two steps. The Map step helps control nodes from various sources such as legacy systems and extensible markup language files. In the Reduce step, various smaller work nodes of information are created and distributed across a computing cluster server. This will help perform distributed computations on various hardware servers.
Further, the report states that one challenge that could hamper market growth is a dearth of technical skills which are a barrier during the deployment phase.
Table of Contents
PART 01: Executive summary
PART 02: Scope of the report
PART 03: Market research methodology
PART 04: Introduction
PART 05: Technology landscape
PART 06: Market landscape
PART 07: Market segmentation by application
PART 08: Geographical segmentation
PART 09: Market drivers
PART 10: Impact of drivers
PART 11: Market challenges
PART 12: Impact of drivers and challenges
PART 13: Market trends
PART 14: Vendor landscape
PART 15: Appendix
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