Data Monetization Market, By Component (Tools and Services), By Deployment Type (On-premise and Cloud- based), By Organization Size (SMEs and Large Enterprises), By Vertical (Government & Defense, BFSI, IT & Telecom, Healthcare, Retail, Manufacturing, Energy & Utility, and Others), and by Region (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2020 - 2027

Published In : Dec 2020

Code : CMI4298

Pages :150

Formats :

Excel and PDF

Industry : Information and Communication Technology

Market Challenges And Opportunities

The major factor restraining growth of the global data monetization market is the varying structure of regulatory policies. There is a need to share accurate and collaborated data details with employees in order to generate valuable insights. New policies are implemented by regulatory bodies and all the organization have to follow these regulation and policies. This process is time consuming and authorities must be aware of changed policies For instance, the General Data Protection Regulation (GDPR) is approved by the European Union parliament that has replaced Directive 95/46/EC. After the implementation of GDPR, organizations have to constantly change their data monetization tools to keep up with changing policies. This is expected to hinder the growth of the data monetization market during the forecast period.

Restraints & Challenges:

Varying structure of regulatory policies

The large enterprises segment is expected to drive the market growth during the forecast period.

On the basis of organization size, the large enterprises segment is expected to hold dominant position in the global data monetization market during the forecast period. Large enterprises consist of large corporate networks and can generate large revenue streams. Hence, large volume of data is generated by large enterprises and these organization prefer to implement monetization services on-premise. The on-premise deployment type can help organizations increase profits and maintain confidentiality of data. For instance, Salesforce.com, Inc., an American software company, launched Salesforce data studio, a data sharing platform that is designed to connect data owners with buyers and create new marketing opportunities to securely monetize their data assets and empower data owners to directly provide their data to buyers.