Big
data include the massive volume of data which can be structured directly to
accumulate into a database without processing. It also refers to information
technology or IT offering which can be used for data mining techniques such as
predictive modeling & text mining. It helps the telecom service providers
to obtain real time actionable insights. It also assist in business decision
making and the Big data & analytics including data benefits and the
information mining followed by enhancing the customer
experience, innovating the business models, cost saving and maximizing profit
for telecom industries and many others.
According
to study, “Global Big Data and Analytics in
Telecom Market Size study, by Organization Type (Large Enterprise, Small and
Medium Enterprises), by Deployment Mode (On-Premises, Cloud) and Regional
Forecasts 2018-2025”
some of the major companies that are currently working in the global big data
& analytics in telecom market are Accenture, EMC Corp., Splunk Inc.,
Hewlett Packard Co., Couchbase Inc., Cisco Systems, Google Inc., Salesforce,
Amazon Web Services Inc., SAP AG, Couchbase Inc., Microsoft Corp., Oracle
Corp., IBM Corp., Cloudera Inc., Teradata Corp., SAS Institute, Adobe,
Centrifuge Systems, Ayata, Alteryx, Hitachi Ventara, Century Link, Maroon.ai, Informatica,
CISCO Systems, Clear Story Data, Datameer, Microstrategy, Datameer, Conductrics,
DueDil, RapidMiner, Hortonworks, China Mobile Ltd., Dell, Pentaho, Chain of
Things, Tableau Software, FICO, MapR, MapD Technologies, Anodot, Deutsche
Telekom AG, TIBCO, HP, VMware, Guavus, Qlik, Infogix, SiSense, Pivotal, Palantir,
OpenSignal, Verizon Communications Inc., SQream, Telefonica S.A., ShareThis, Vodafone
Group plc.
Based
on the type, the global big data & analytics in telecom market are
segmented into text analytics, data mining, predictive analysis and statistical
analysis. Based on the organization type, the market is segmented into small
& medium enterprises and large enterprises. Based on the deployment model,
market is segmented into cloud and on-premises. Based on data type, market is
defined as structured data, semi-structured data and unstructured data. Based
on the technologies, the market is segmented into HIVE, MapReduce, Hadoop,
Hortonworks and NoSQL Databases.
The
global big data and analytics in telecom market is driven by the increasing advancement
of big data & analytics, followed by increasing adoption of internet of
things or IoT, failure of traditional systems, competitive advantage, large
variation of data, potential for new insights and reduced cost. However, lack
of big data strategy and low availability of the skilled personnel are some of
the factors restraining the market development. Additionally, some of the key
market opportunities such as technological advancements, effective marketing,
customer satisfaction, improvement skills and reduce operational costs. Moreover,
an increased demands for the agile data analytics adding to the biggest trend to
the market.
North
American region is adding to the significant provisions to the market owing to the
huge growth in IT industries & growing awareness adding to the profits adding
to the big data & analytics in the telecom sector. During the forecast
period the Asia-Pacific region is projected register a higher CAGR due to
increase in adoption of the cloud-based solutions, aided by the enhancement of
communication technologies moreover it is estimated that the global big data
& analytics in telecom market to grow at a fast pace owing to the increase
in adoption of IoT.
For more information on the research report, refer to
below link:-
Contact Us:-
Ken Research
Ankur Gupta, Head Marketing & Communications
Sales@kenresearch.com
+91-9015378249
Ken Research
Ankur Gupta, Head Marketing & Communications
Sales@kenresearch.com
+91-9015378249
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