Global Data Monetization Market Will Hit at a CAGR of 17.6% from 2018 to 2025 - SAP, SQLstream, Inc., Virtusa, Google, IBM, Adastra, CellOS Software Limited, mnubo, NETSCOUT, Monetize Solutions, Inc., NETSCOUT, Openwave Mobility,Paxata, Optiva Inc, Cisco,

The research report entitled “Global Data Monetization Analysis 2018” offers widespread and fundamental research of tipper industry based on the latest trends and development activities in the global market. The report speaks about the key factors driving the market, the growth rate of the Data Monetization in 2025, sales, revenue, opportunities and challenges faced by the manufacturers, distributors, traders and dealers in the global Data Monetization.

The Global Data Monetization Market accounted for USD 1.3 billion in 2017 and is projected to grow at a CAGR of 17.6% the forecast period of 2018 to 2025.

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Global Data Monetization Market, By Component (Tools and Services), By Data Type (Customer data and others), By Business Function (Operations, Finance and others), By Deployment Type (Cloud and On-premises), By Organization Size (Small and Medium-sized Enterprises (SMEs) and Large enterprises), By Industry Vertical (Manufacturing and others) and By Geographical Segments- Industry Trends and Forecast to 2025

Global Key Players of Global Data Monetization Market

The renowned players in data monetization market are

Adastra Group, CellOS Software Ltd, Connectiva Analytics and Insights Ltd., Dawex Systems, Infosys Limited, Mahindra ComViva, Mnubo, Netscout Systems, Inc., Paxata, Inc., Optiva Inc., (Redknee Solutions Inc.), ALC, SAP SE, SQLstream, Inc., Virtusa Corporation, Infosys, Google, IBM, Cisco, 101 data, Accenture, Monetize Solutions, Narrative, NESS, NETSCOUT, Openwave Mobility among others.

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Market Segmentation

The global data monetization market is based on component, data type, business functions, deployment model, organization size, industry vertical and geographical segments.

Based on component, the global data monetization market is segmented into tools and services. The services segment can further be sub segmented into support and maintenance, consulting and implementation.

Based on data type, the market can be segmented into customer data, product data, financial data and supplier data.

Based on business segments, the market can be segmented into sales and marketing, supply chain management, operations, finance and others (R&D, HR, and legal).

Based on deployment model, the market can be segmented into cloud and on premises.

Based on organization size, the market can be segmented into small and medium-sized enterprises (SMES) and large enterprises.

Based on industry vertical, the market can be segmented into banking, financial services, and insurance (BFSI), telecom, consumer goods and retail, media and entertainment, government and defense, manufacturing, transportation and logistics, energy and utilities, healthcare and others (real estate, education, and travel and hospitality).

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Based on geography the data monetization market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific and Middle East & Africa. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.

Competitive Analysis

The global data monetization market is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run. The report includes market shares of data monetization market for global, Europe, North America, Asia Pacific and South America.

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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