Global Data Monetization Market is valued approximately at USD 1.9 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 21.7% over the forecast period 2020-2027. Data monetization generates high revenue from available data sources or real-time streamed data by storage, analysis, dissemination, and use of that data. It helps organization to convert raw/aggregated data based on multiple data sources into something valuable, to make right business decisions. The increase in volume of data generation and lower cost of data storage, rapid adoption of advanced analytics and visualization, increase in use of external data sources, growth in the adoption of data-driven decision-making and rise in business data volume and variety are the factors responsible for the growth of the market over the forecast period. Furthermore, the introduction of new products and services and other strategic alliance by market key players will create a lucrative demand for this market. For instance: on 11th July 2019, Microsoft corporation launched Microsoft Azure service which helps organizations in sharing their internal data and focuses on providing the service for its customers to share data to comply with regulations and privacy policies. Also, In October 2019, Oracle introduced cloud-native deployment option for BRM to support emerging 5G-enabled use cases for CSPs. This will further expand the deployment model offering of a modern monetization solution to capture market position. However, varying structure of regulatory policies and lack of organizational capabilities and cultural barriers is the major factor restraining the growth of global Data Monetization market during the forecast period.

The regional analysis of global Data Monetization Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. Asia Pacific is the leading/significant region across the world in terms of market share owing to the advanced and dynamic adoption of new technologies and commercialization of big data, AI, and IoT technologies and the need for further advancements to leverage these technologies to the best are expected to drive the adoption of data monetization tools and services in the region.

Major market player included in this report are:
Microsoft Corporation, inc.
Oracle Corporation
SAS Institute
TIBCO Software Inc.
International Business Machines Corporation (IBM)
Domo Inc.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

Deployment Mode:

By Organization Size:
Small and Medium-sized Enterprises (SMEs)
Large Enterprises

By Data Type:
Consumer data
Product data
Financial data
Supplier data

By Business Function:
Sales and marketing
Supply chain management

By Vertical:
Banking, Financial Services, and Insurance (BFSI)
Consumer Goods and Retail
Information Technology (IT)
Media and Entertainment
Transportation and Logistics
Energy and Utilities

By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027

Target Audience of the Global Data Monetization Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers