Data Monetization Market Overview, Growth Rate, Demands, Size, and Top Companies - Microsoft Corporation (US), Oracle(US), Salesforce(US), SAS (US), TIBCO (US), IBM (US), Qlik (US), SAP (Germany)

This Data Monetization Market report provides market segmentation in the most-detailed pattern. A high-level market analysis of major segments has been performed in the report and opportunities are identified. The market report not only deals with major industrial categories but also different associated segments such as services, technologies, & applications. What is more, the global Data Monetization Marketresearch report provides market data in such a way that it also considers new product development from beginning to launch.

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The data monetization market size is expected to grow from USD 2.9 billion in 2022 to USD 7.3 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 19.5% during the forecast period.

The report profiles the following key vendors:

Microsoft Corporation (US)
Oracle(US)
Salesforce(US)
SAS (US)
TIBCO (US)
IBM (US)
Qlik (US)
SAP (Germany)
Looker (US)
ThoughtSpot (US)
Sisense (US)
Domo (US)
Virtusa (US)
Infosys (India)
1010Data(US)

The increase in volume of data generation and lower cost of data storage, rapid adoption of advanced analytics and visualization are a few factors driving the growth of the data monetization market.

The services can help organizations reduce costs by applying effective data maintenance strategies

Services form an integral part of the data monetization software life cycle. Services assist the software functionalities, ranging from its deployment to management, such as implementation and integration, training and consultation, product upgradation, and support and maintenance. The complex nature of data monetization tools and solutions is expected to boost the demand for data monetization services. The services covered in this section are consulting, support and maintenance, and implementation. These services assist organizations in easily deploying data monetization tools on their premises or cloud.

The capability to capture emerging opportunities to generate new revenue and profit streams using consulting services is the major factor driving the adoption of consulting data monetization services

Service providers offer consulting services to help their clients in implementing new methodologies for recognizing additional revenue streams from the existing data. Thus, clients can use massive data sets to build a foundation for new products that they can then sell at a profit to other companies, which would benefit from data intelligence

Data monetization tools enable companies to determine their revenue and profitability and analyze their business segments.

Financial data constitutes of historical and current data related to financial transactions of enterprises. These transactions include income, expenses, bank balance, contracts, and other financial data. The increasing amount of valuable financial data through internal and external sources and special online transactions is expected to boost the adoption of financial data monetization.

The increasing need to launch data-driven marketing campaigns to improve brand equity is the major factor driving the data monetization market growth

Data provides a way to evaluate the performance of marketing campaigns, content, programs, and employees, among others. Surface-level data such as sales figures is capable of providing product performance. Companies can utilize sales and marketing data to make decisions about exiting a product from a particular market and developing new products in the market. Data is the epicenter of every department in an organization. It facilitates immediate decision-making and paves the way for innovative products.

Cloud-based data monetization tools offer quick implementation, which is expected to drive the adoption of cloud-based data monetization tools.

In recent times, due to the increased adoption of data-driven decision-making and advanced analytics, organizations have started to adopt data monetization solutions. SMEs are majorly moving toward the adoption of the cloud deployment type, due to its major benefits such as lower costs, no requirement of manpower for hardware maintenance, faster and efficient results, and complete flexibility and scalability, which result in reduced Operational Expenditure (OPEX) and CAPEX.

The need for government compliance and regulatory requirements related to managing organizational data would increase the adoption of data monetization among SMEs.

The intense competitive market scenario has encouraged the SMEs to invest in data monetization tools and services, and derive insights from a large pool of data for their business growth. As compared to large enterprises, the SMEs face resource crunch and require cost-effective methods to solve complexities for better cost optimization of their assets and requirements.

Data monetization in the media and entertainment industry has a specific importance in the overall business operations and is expected to deliver a higher RoI

The media and entertainment industry vertical is witnessing a dramatic shift from the traditional content-centric world to the customer-centric world. Thus, understanding customer preferences and anticipating customers' demand have become important for efficient content management, financial performance, and profitability. The industry players are changing their solution offering patterns, from subscription services to multi-channel availability, to cater to customers' convenience. Thus, in such cases, a comprehensive understanding of customers' media preferences and related behavior is the key to succeed in the market. Data monetization tools and services help media and entertainment organizations identify new market opportunities, provide personalized user experience, and meet the emerging customer needs.

North America to dominate the data monetization market in 2022

The presence of two major economies in North America: the US and Canada are expected to boost the adoption of data monetization tools in the region. Moreover, the end-use industries in the region such as BFSI and retail are focusing on improving customer experience and reducing sales cycle, which is expected to drive the market during the forecast period.The adoption of the data monetization solution is expected to be the highest in North America due to the rapid adoption of data monetization tools and services among insight-intensive enterprises in this region as compared to other regions. The region is an early adopter and host to innovative initiatives for advanced analytics solutions and practices, such as big data, machine learning, information science, and high-performance computing. Most of data monetization vendors, including major players, have direct or indirect presence in this region via system integrators, distributors, and resellers.

In the process of determining and verifying the market size for several segments and sub segments gathered through secondary research, extensive primary interviews were conducted with the key people. The breakup of the profiles of the primary participants as follows:

By Company Type: Tier I:28%, Tier II: 20%, and Tier III:52%
By Designation: C-Level:40%, D-Level:29%,and Others:31%
By Region: North America:42%, Europe:35%, APAC: 15%, Row: 8%

Research Coverage

The report segments the data monetization market by component(tools and services), data types, business function, deployment type(on-premises, cloud), organization size (SMEs, large enterprises), vertical, and regions.The component segment includes tools and services. Based on services, the market is segmented into support and maintenance, consulting, integration and implementation. Based on data types, the market is segmented intocustomer, financial, product, supplier data. Based on business function, the market is segmented into sales and marketing, supply chain management, operations, finance, and others. Based on deployment type, the market is segmented into on-premises and cloud. The market is segmented based on organization size as SMEs and large enterprises. Different Vertical using data monetization tools include BFSI, telecommunication, media and entertainment, energy and utilities, transportation and logistics, IT, retail and consumer goods, media and entertainment, healthcare and life sciences, and manufacturing and other industry vertical.

The geographic analysis of the data monetization market is spread across five major regions: North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in the data monetization market with information on the closest approximations of the revenue numbers for the overall data monetization market and the sub segments. The report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

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Table Of Contents

1 Introduction
1.1 Objectives Of The Study
1.2 Market Definition
1.2.1 Inclusions And Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.3.3 Years Considered For The Study
1.4 Currency Considered
Table 1 United States Dollar Exchange Rate, 2019-2021
1.5 Stakeholders
1.6 Summary Of Changes

2 Research Methodology
2.1 Research Data
Figure 1 Data Monetization Market: Research Design
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup Of Primary Profiles
Figure 2 Breakup Of Primary Interviews: By Company Type, Designation, And Region
2.1.2.2 Key Industry Insights
2.2 Market Breakup And Data Triangulation
Figure 3 Data Triangulation
2.3 Market Size Estimation
Figure 4 Market: Top-Down And Bottom-Up Approaches
Figure 5 Market Size Estimation Methodology - Approach 1 (Supply Side): Revenue Of Data Monetization From Vendors
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach (Supply Side): Collective Revenue Of Data Monetization Vendors
Figure 7 Market Size Estimation Methodology - Approach 2 (Demand Side): Data Monetization Market
Figure 8 Market Size Estimation Methodology - (Supply Side): Illustration Of Vendor Revenue Estimation
2.4 Company Evaluation Matrix Methodology
Figure 9 Company Evaluation Matrix: Criteria Weightage
2.5 Startup/Sme Evaluation Matrix Methodology
Figure 10 Startup/Sme Evaluation Matrix: Criteria Weightage
2.6 Assumptions For The Study
2.7 Limitations Of The Study

3 Executive Summary
Figure 11 Data Monetization Market: Global Snapshot, 2020-2027
Figure 12 Top-Growing Segments In The Market
Figure 13 Tools Segment To Account For A Larger Market Size During The Forecast Period
Figure 14 Integration And Implementation Service To Hold The Largest Market Size During The Forecast Period
Figure 15 Finance Segment To Hold A Larger Market Size During The Forecast Period
Figure 16 On-Premises Segment To Hold A Larger Market Size During The Forecast Period
Figure 17 Customer Data Segment To Hold The Largest Market Size During The Forecast Period
Figure 18 Large Enterprises Segment To Hold The Largest Market Size During The Forecast Period
Figure 19 Telecommunication Industry Vertical To Hold The Largest Market During The Forecast Period
Figure 20 North America To Account For The Largest Market Share During The Forecast Period

4 Premium Insights
4.1 Brief Overview Of Data Monetization Market
Figure 21 Increasing Use Of External Data Sources To Drive The Growth Of The Market During The Forecast Period
4.2 Market, By Component, 2022 Vs. 2027
Figure 22 Tools Segment To Account For A Larger Market Share By 2027
4.3 Market, By Services, 2022 Vs. 2027
Figure 23 Integration And Implementation Service To Account For The Highest Market Share By 2027
4.4 Market, By Data Type, 2022 Vs. 2027
Figure 24 Customer Data Segment To Account For The Highest Market Share By 2027
4.5 Market, By Deployment Type, 2022 Vs. 2027
Figure 25 On-Premises Segment To Account For A Larger Market Share By 2027
4.6 Market, By Organization Size, 2022 Vs. 2027
Figure 26 Large Enterprises Segment To Account For A Larger Market Share By 2027
4.7 Data Monetization Market, By Business Function, 2022 Vs. 2027
Figure 27 Finance Segment To Account For A Larger Market Share By 2027
4.8 Market, By Industry Vertical, 2022 Vs. 2027
Figure 28 Telecomunication Vertical To Account For A Larger Market Share By 2027
4.9 Market-Investment Scenario
Figure 29 Asia Pacific To Emerge As The Best Market For Investment In Next Five Years

5 Market Overview And Industry Trends
5.1 Introduction
5.2 Market Dynamics
Figure 30 Drivers, Restraints, Opportunities, And Challenges: Data Monetization Market
5.2.1 Drivers
5.2.1.1 Increase In Volume Of Data Generation And Lower Cost Of Data Storage
5.2.1.2 Rapid Adoption Of Advanced Analytics And Visualization
5.2.1.3 Increase In Use Of External Data Sources
5.2.1.4 Growth In The Adoption Of Data-Driven Decision-Making
5.2.1.5 Rise In Business Data Volume And Variety
5.2.2 Restraints
5.2.2.1 Varying Structure Of Regulatory Policies
5.2.2.2 Lack Of 0rganizational Capabilities And Cultural Barriers
5.2.3 Opportunities
5.2.3.1 Increasing Need To Create Insights From A Pool Of Data
5.2.3.2 Rising Adoption Of Ai For Data Processing
5.2.4 Challenges
5.2.4.1 Quality Of Data Collected By Organizations For Monetization
5.2.4.2 Privacy And Security Concerns
5.2.4.3 Increase In Complexities In Data Structures
5.3 Ecosystem
Figure 31 Data Monetization Market: Ecosystem
5.4 Supply Chain Analysis
Figure 32 Market: Supply Chain
5.5 Types Of Data Monetization
Figure 33 Direct Vs Indirect Data Monetization
5.5.1 Direct Data Monetization
5.5.2 Indirect Data Monetization
5.6 Technological Analysis
5.6.1 Data As A Service
5.6.2 Insight As A Service
5.6.3 Analytics-Enabled Platform As A Service
5.6.4 Embedded Analytics
5.7 Covid-19 Driven Market Dynamics
5.7.1 Drivers And Opportunities
5.7.2 Restraints And Challenges
5.8 Patent Analysis
Figure 34 Number Of Patents Published, 2012-2022
Figure 35 Top Five Patent Owners (Global)
Table 2 Top Ten Patent Applicants (United States)
5.9 Case Study Analysis
5.9.1 Case Study 1: To Improve The Accuracy Of Customer Churn Prediction Through New Models, And Also Improve The Data Monetization Initiative
5.9.2 Case Study 2: To Utilize The Available Data And Gain A Competitive Advantage In The Market
5.9.3 Case Study 3: To Enhance The Safety And Manage The Huge Amount Of Data Generated By Key Performance Indicators (Kpis) Used For Constant Reporting On Safety
5.9.4 Case Study 4: To Provide A Complete View Of Business Performance And Share The Information With Its Employees In Real-Time Across Finance, Hcm, Workforce Management, And Asset Management Departments.
5.9.5 Case Study 5: To Find Out Inefficiencies In The Healthcare Chain On A Per Patient Basis
5.10 Average Selling Price: Data Monetization Market
Table 3 Pricing Analysis: Market
5.11 Tariff And Regulatory Landscape
5.11.1 Regulations
5.11.1.1 North America
5.11.1.2 Europe
5.11.1.3 Asia Pacific
5.11.1.4 Middle East And South Africa
5.11.1.5 Latin America

6 Data Monetization Market, By Component
6.1 Introduction
Figure 36 Services Segment To Grow At A Higher Cagr During The Forecast Period
Table 4 Market, By Component, 2016-2020 (Usd Million)
Table 5 Market, By Component, 2021-2027 (Usd Million)
6.1.1 Component: Market Drivers
6.1.2 Component: Covid-19 Impact
6.2 Tools
Table 6 Tools: Market, By Region, 2016-2020 (Usd Million)
Table 7 Tools: Market, By Region, 2021-2027 (Usd Million)
6.3 Services
Figure 37 Consulting Segment To Grow At The Highest Cagr During The Forecast Period
Table 8 Services: Data Monetization Market Size, By Type, 2016-2020 (Usd Million)
Table 9 Services: Market Size, By Type, 2021-2027 (Usd Million)
Table 10 Services: Market, By Region, 2016-2020 (Usd Million)
Table 11 Services: Market, By Region, 2021-2027 (Usd Million)
6.3.1 Support And Maintenance
Table 12 Support And Maintenance Market Size, By Region, 2016-2020 (Usd Million)
Table 13 Support And Maintenance Market Size, By Region, 2021-2027 (Usd Million)
6.3.2 Consulting
Table 14 Consulting Market Size, By Region, 2016-2020 (Usd Million)
Table 15 Consulting Market Size, By Region, 2021-2027 (Usd Million)
6.3.3 Implementation And Integration
Table 16 Implementation And Integration Market Size, By Region, 2016-2020 (Usd Million)
Table 17 Implementation And Integration Market Size, By Region, 2021-2027 (Usd Million)

7 Data Monetization Market, By Data Type

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