Global Data Monetization Market to reach USD 9.1 billion by 2027

Global Data Monetization Market Size study by Component (Tools and Services), by Deployment Mode (On-Premises and Cloud), by Organization Size (Large Enterprises and Small and Medium-Sized Enterprises), by Data Type (Consumer data, Product data, Financial data and Supplier data), by Business Function (Sales and marketing, Supply chain management, Operations and Finance), by Vertical (Banking, Financial Services, and Insurance (BFSI), Telecommunication, Consumer Goods and Retail, Information Technology (IT), Healthcare, Manufacturing, Media and Entertainment, Transportation and Logistics and Energy and Utilities) and Regional Forecasts 2020-2027
Product Code:  IACTBAC_40581931
Chapter 1.	Executive Summary 
1.1.	Market Snapshot
1.2.	Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Billion)
1.2.1.	Data Monetization Market, by Region, 2018-2027 (USD Billion)
1.2.2.	Data Monetization Market, by Component, 2018-2027 (USD Billion)
1.2.3.	Data Monetization Market, by Deployment Mode, 2018-2027 (USD Billion)
1.2.4.	Data Monetization Market, by Organization Size, 2018-2027 (USD Billion)
1.2.5.	Data Monetization Market, by Data Type, 2018-2027 (USD Billion)
1.2.6.	Data Monetization Market, by Business Function, 2018-2027 (USD Billion)
1.2.7.	Data Monetization Market, by vertical, 2018-2027 (USD Billion)
1.3.	Key Trends
1.4.	Estimation Methodology
1.5.	Research Assumption
Chapter 2.	Global Data Monetization Market Definition and Scope 
2.1.	Objective of the Study
2.2.	Market Definition & Scope
2.2.1.	Scope of the Study
2.2.2.	Industry Evolution
2.3.	Years Considered for the Study
2.4.	Currency Conversion Rates
Chapter 3.	Global Data Monetization Market Dynamics	
3.1.	Data Monetization Market Impact Analysis (2018-2027)
3.1.1.	Market Drivers
3.1.2.	Market Challenges
3.1.3.	Market Opportunities
Chapter 4.	Global Data Monetization Market Industry Analysis
4.1.	Porter’s 5 Force Model
4.1.1.	Bargaining Power of Suppliers
4.1.2.	Bargaining Power of Buyers
4.1.3.	Threat of New Entrants
4.1.4.	Threat of Substitutes
4.1.5.	Competitive Rivalry
4.1.6.	Futuristic Approach to Porter’s 5 Force Model (2017-2027)
4.2.	PEST Analysis
4.2.1.	Political 
4.2.2.	Economical
4.2.3.	Social 
4.2.4.	Technological 
4.3.	Investment Adoption Model
4.4.	Analyst Recommendation & Conclusion
Chapter 5.	Global Data Monetization Market, by Component          
5.1.	Market Snapshot 
5.2.	Global Data Monetization Market by Component, Performance - Potential Analysis
5.3.	Global Data Monetization Market Estimates & Forecasts by Component 2017-2027 (USD Billion)
5.4.	Data Monetization Market, Sub Segment Analysis
5.4.1.	 Tools 
5.4.2.	Services
Chapter 6.	Global Data Monetization Market, by Deployment Mode          
6.1.	Market Snapshot 
6.2.	Global Data Monetization Market by Deployment Mode, Performance - Potential Analysis
6.3.	Global Data Monetization Market Estimates & Forecasts by Deployment Mode 2017-2027 (USD Billion)
6.4.	Data Monetization Market, Sub Segment Analysis
6.4.1.	 On-Premises 
6.4.2.	Cloud
Chapter 7.	Global Data Monetization Market, by Organization Size          
7.1.	Market Snapshot 
7.2.	Global Data Monetization Market by Organization Size, Performance - Potential Analysis
7.3.	Global Data Monetization Market Estimates & Forecasts by Organization Size 2017-2027 (USD Billion)
7.4.	Data Monetization Market, Sub Segment Analysis
7.4.1.	 Large Enterprises
7.4.2.	Small and Medium-Sized Enterprises
Chapter 8.	Global Data Monetization Market, by Data Type          
8.1.	Market Snapshot 
8.2.	Global Data Monetization Market by Data Type, Performance - Potential Analysis
8.3.	Global Data Monetization Market Estimates & Forecasts by Data Type 2017-2027 (USD Billion)
8.4.	Data Monetization Market, Sub Segment Analysis
8.4.1.	 Consumer data
8.4.2.	Product data
8.4.3.	Financial data
8.4.4.	Supplier data
Chapter 9.	Global Data Monetization Market, by Business Function          
9.1.	Market Snapshot 
9.2.	Global Data Monetization Market by Business Function, Performance - Potential Analysis
9.3.	Global Data Monetization Market Estimates & Forecasts by Business Function 2017-2027 (USD Billion)
9.4.	Data Monetization Market, Sub Segment Analysis
9.4.1.	 Sales and marketing
9.4.2.	Supply chain management
9.4.3.	Operations
9.4.4.	Finance
Chapter 10.	Global Data Monetization Market, by vertical          
10.1.	Market Snapshot 
10.2.	Global Data Monetization Market by vertical, Performance - Potential Analysis
10.3.	Global Data Monetization Market Estimates & Forecasts by vertical 2017-2027 (USD Billion)
10.3.1.	Banking, Financial Services, and Insurance (BFSI)
10.3.2.	Telecommunication
10.3.3.	Consumer Goods and Retail
10.3.4.	Information Technology (IT)
10.3.5.	Healthcare
10.3.6.	Manufacturing
10.3.7.	Media and Entertainment
10.3.8.	Transportation and Logistics
10.3.9.	Energy and Utilities
Chapter 11.	Global Data Monetization Market, Regional Analysis
11.1.	Data Monetization Market, Regional Market Snapshot 
11.2.	North America Data Monetization Market 
11.2.1.	U.S. Data Monetization Market	 Component breakdown estimates & forecasts, 2017-2027	Deployment Mode breakdown estimates & forecasts, 2017-2027	Organization Size breakdown estimates & forecasts, 2017-2027	Data Type breakdown estimates & forecasts, 2017-2027	Business Function breakdown estimates & forecasts, 2017-2027	vertical breakdown estimates & forecasts, 2017-2027
11.2.2.	Canada Data Monetization Market
11.3.	Europe Data Monetization Market Snapshot
11.3.1.	U.K. Data Monetization Market 
11.3.2.	Germany Data Monetization Market
11.3.3.	France Data Monetization Market
11.3.4.	Spain Data Monetization Market
11.3.5.	Italy Data Monetization Market
11.3.6.	Rest of Europe Data Monetization Market
11.4.	Asia-Pacific Data Monetization Market Snapshot
11.4.1.	China Data Monetization Market 
11.4.2.	India Data Monetization Market 
11.4.3.	Japan Data Monetization Market
11.4.4.	Australia Data Monetization Market
11.4.5.	South Korea Data Monetization Market
11.4.6.	Rest of Asia Pacific Data Monetization Market
11.5.	Latin America Data Monetization Market Snapshot
11.5.1.	Brazil Data Monetization Market
11.5.2.	Mexico Data Monetization Market
11.6.	Rest of The World Data Monetization Market

Chapter 12.	Competitive Intelligence
12.1.	Top Market Strategies
12.2.	Company Profiles
12.2.1.	Microsoft Corporation	Key Information	Overview	Financial (Subject to Data Availability)	Product Summary	Recent Developments
12.2.2., inc.
12.2.3.	Oracle Corporation
12.2.4.	SAP
12.2.5.	SAS Institute
12.2.6.	Sisense
12.2.7.	TIBCO Software Inc.
12.2.8.	International Business Machines Corporation (IBM)
12.2.9.	Qlik
12.2.10.	Domo Inc.
Chapter 13.	Research Process
13.1.	Research Process
13.1.1.	Data Mining
13.1.2.	Analysis
13.1.3.	Market Estimation
13.1.4.	Validation
13.1.5.	Publishing
13.2.	Research Attributes
13.3.	Research Assumption

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

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