About Big Data Infrastructure
Big data refers to a wide range of hardware, software, and services required for processing and analyzing enterprise data that is too large for traditional data processing tools to manage. In this report, we have included big data infrastructure, which includes mainly hardware and embedded software. These data are generated from various sources such as mobile devices, digital repositories, and enterprise applications, and their size ranges from terabytes to exabytes. Big data solutions have a wide range of applications such as analysis of conversations in social networking websites, fraud management in the financial services sector, and disease diagnosis in the healthcare sector.
Technavio’s analysts forecast the global big data infrastructure market to grow at a CAGR of 33.15% during the period 2016-2020.
Covered in this report
The report covers the present scenario and the growth prospects of the global big data infrastructure market 2016-2020. To calculate the market size, the report considers the segments of big data infrastructure: storage, server, and networking.
The market is divided into the following segments based on geography:
Technavio Announces the Publication of its Research Report – Global Big Data Infrastructure Market 2016-2020
Technavio recognizes the following companies as the key players in the Global Big Data Infrastructure Market: Dell, IBM, HP, Fusion-io, NetApp, and Cisco.
Other Prominent Vendors in the market are: Intel, Oracle, and Teradata
Commenting on the report, an analyst from Technavio’s team said: “There is an increase in the number of open source big data technologies available in the market. Such technologies may be available free of cost by the enterprises. Some of the major open source big data technology platforms are Apache Hadoop, R, Cascading, Scribe, ElasticSearch, Apache HBase, Cassandra, MongoDB, and Apache CouchDB. Apache Hadoop technology is used for storing huge volumes of unstructured and semi-structured data. It is an open source software and is freely available to enterprises.”
According to the report, big data provides enhanced customer experience. The unstructured information can be converted to derive qualitative and quantitative information, which are valuable for a company. It also helps in identifying idle resources and improving operational efficiency. Also, it helps in predictive analytics and risk management for enterprises
Further, the report states that big data implementation is highly dependent on the application of output from big data on the current business models. Mining big data without proper aim and methodology often leads to futile attempts and a heavy financial burden on the company.
Dell, IBM, HP, Fusion-io, NetApp, Cisco, Intel, Oracle, Teradata