The worldwide demand for data demand is estimated at $ 1.3 billion in 2017 and is expected to grow at a CAGR of 16% between 2018 and 2023.
New York, NY -- (SBWIRE) -- 12/15/2018 -- The data monetization market is an overview of ICT industry research and reports provide valuable insight into key drivers, future trends, applications and challenges that experts have determined. The SWOT analysis is a way of telling the market strengths and weaknesses (eg, drivers and restraints) to keep track of what to stick with and avoid, and this report provides not only SWOT analysis, but also changes in the CAGR value of the forecast period.
The diverse benefits of the revenue generating market drive market growth. Our research analysts have identified technology advances and capabilities as one of the key drivers to drive growth in the data monetization market over the next few years.
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Top key player profiled in this report: SAP SE, Accenture, Mahindra Comviva, Adastra, Redknee, Monetize Solutions, Viavi Solutions, Allot, ALC, Reltio
The data monetization market is highly fragmented and is based on new product launches and product clinical results. Key players, therefore, used a variety of strategies, including new product launches, clinical trials, market initiatives, high costs for research and development, and increasing footprint in this market through agreements, joint ventures, partnerships and acquisitions. This report includes data monetization market share in Global, Europe, North America, Asia Pacific and Latin America.
Data monetization is the transformation of an unstructured mass of enterprise information into profitable knowledge bits that drive financial respect or administrative transactions. Includes the use of information resources that create value for your organization. Data monetization can be done in two ways: directly and indirectly. You can bundle massive amounts of information into information items (direct monetization), extract insights (indirect monetization), and help your business choice.
Major market drivers and restraints
- Rapid adoption of advanced analytics and visualization.
- The varying structure of regulatory policies.
- Improper implementation of security protocols may cause data and security theft.
- Increasing use of external data sources.
- Increasing adoption of data-driven decision-making.
- Increasing volume and variety of business data.
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Data monetization can help reduce information stockpiling costs or put resources into the investigation stage, turning unstructured information into valuable knowledge. Data monetization represents a process for prioritizing asset values to generate high earnings. It is a way of transforming vast amounts of unstructured information into a bit of informative knowledge and transforming information into money or mode of trade management.
The goal of data monetization is to sort the unstructured information in a crude way, store the information in a data framework, and output the structured data to all vertical series of organizations. The association also generates income by investing resources into the testing phase, where critical knowledge is gained from unstructured information. Recent trends in data monetization include the emergence of cloud storage and cloud computing, which allows many organizations to protect their data with security protocols.
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Table of Contents
Global Data Monetization Market Research Report
Chapter 1 Data Monetization Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast