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.
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Ankur Gupta, Head Marketing & Communications