DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Global Big Data Infrastructure Market 2016-2020" report to their offering.
The global big data infrastructure market is projected to grow at a CAGR of 33.15% during the period 2016-2020.
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.
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.
Key vendors:
- Dell
- IBM
- HP
- Fusion-io
- NetApp
- Cisco
Key Topics Covered:
PART 01: Executive summary
PART 02: Scope of the report
PART 03: Market research methodology
PART 04: Introduction
PART 05: Market landscape
PART 06: Market segmentation by product
PART 07: Geographical segmentation
PART 08: Market drivers
PART 09: Impact of drivers
PART 10: Market challenges
PART 11: Impact of drivers and challenges
PART 12: Market trends
PART 13: Vendor landscape
For more information visit http://www.researchandmarkets.com/research/m3hljg/global_big_data
