Big Data Marketing Snapshot
Big data is a field that offers ways to analyze and systematically extract information from sources. It also helps users to deal with data sets that are too complex or large to be dealt with via traditional data-processing application software. Market Research Future (MRFR) has published a research report about the global Big Data Marketing that weighs increase for this market at 13.35% CAGR during the forecast period between 2018 and 2023. By value, the market has been figured to be worth the $ 81,500 Mn by the end of the forecast period.
The exceptional market driving factor for the Big Data Marketing is its growing use in the various enterprise application. Other factors enabling the market growth include technological advancement and investment by enterprises in the technology to streamline their operations. Big data analytics enables the development of data-driven applications that are meant to improve business agility.
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Cisco Systems Inc., IBM Corporation, Microsoft Corporation, Dell Technologies, Amazon Web Services, Oracle Corporation, Cloudera Inc., Hitachi Ltd., Teradata Corporation, SAP SE, Accenture PLC, Tableau Software, Fair Isaac Corporation, Hewlett Packard Enterprise Company, Splunk Inc.
The Big Data Marketing growth is expected to remain influenced by micro and macroeconomic factors, government support and industry development. Investing in R&D pipeline will benefit players in the long run. Innovation and awareness about technological developments will be crucial for maintaining a competitive edge.
The report covers the development strategies adopted by the companies between 2015 to 2018.
Big Data Marketing: Segmental Analysis
The Big Data Marketing segmentation has segmented the market into component, deployment, end-user, technology, organization size, and region. The component-based segmentation is segmenting this market into hardware, software, and service. Hardware has been sub-segmented into network equipment, server, and storage. The software has been sub-segmented into analytics, data discovery & visualization, data management & Hadoop distribution products, and tools. Services have been segmented into analytics as a service, consulting services, data as a service, Hadoop as a service, and deployment & integration service.
Based on deployment, the market is being segmented into on-premise deployment and on-cloud deployment. As per the segmentation based on end-users, the market has been segmented into Banking, financial services and insurance (BFSI), energy & utilities, government, manufacturing, healthcare, information technology (IT), retail, telecommunications, transportation, and others.
In the context of technology, the market has been segmented into Hadoop, machines learning & data mining, MPAD, natural language processing, NoSQL, predictive analytics, and stream processing. Regarding organization size, the market has been segmented into large enterprises and small & medium enterprise (SMEs).
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Global Big Data Market: Regional Outlook
The global big data market has been segmented, by region, into North America, Europe, Asia-Pacific, and the rest of the world.. Currently, North America leads the global big data market and is likely to maintain its position throughout the assessment period. During the forecast period, the market is North America is expected to register a CAGR of 12.4%. The strong position of region can be attributed to factors such as the fast adoption of advanced information technologies and focus towards big data application in countries such as the U.S. and Canada. Moreover, presence of leading market players such as oracle corporation, IBM corporation, Microsoft corporation, Amazon among others support the market growth in the region.
Latest Industry News
- Google is planning to acquire big-data company Looker for USD 2.6 bn. 6 JUNE 2019
- United Nations Children’s Fund (UNICEF) is using Big Data for its School Mapping Project. 4 JUNE 2019
TABLE OF CONTENTS
1 Executive Summary
2 Market Introduction
2.2 Scope Of The Study
2.3 List Of Assumptions
2.4 Market Structure
3 Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
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