The market is expected to grow from USD 2,297 million in 2020 to USD 6,134 million by 2025, at a CAGR of 21.7% during the forecast period. The increase in the volume of data generation and lower cost of data storage is expected to be one of the strongest factors for data monetization tools and services adoption across regions.
Cloud deployment model is expected to grow at a higher CAGR during the forecast period
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.
Telecommunication industry vertical to hold the highest market share in 2020
The telecommunication industry vertical is experiencing increased data generation due to the advancements in technologies such as 3G and 4G. The introduction of 5G technology in the near future is expected to generate a large volume of data. It is a challenge for telecommunication providers to manage this data and retain the existing customers as well as enhance the customer experience.
North America to account for the largest market size during the forecast period
The global data monetization market by region covers 5 major geographic regions, namely, North America, Asia-Pacific (APAC), Europe, Middle East and Africa (MEA), and Latin America. North America is expected to account for the largest market size during the forecast period due to the presence of a large number of data monetization vendors and the increasing adoption of cloud-native technologies.
The focus of governments on adopting big data strategies to predict or identify business potential would drive the adoption of data monetization tools in North America. The US is one of the topmost countries in terms of the adoption of data monetization due to well-developed communication infrastructure, including 5G services. For instance, The US federal government has announced a USD 1.9 million grant to Digital Coaching International that will guide small businesses on technology adoption in businesses.
The data monetization market revenue is primarily classified into revenues from tools and services. Tools revenue is associated with data monetization software and solutions. Further, services revenue is associated with integration and implementation, consulting, and support and maintenance. The market is also segmented on the basis of data type, business function, deployment type, organization size, industry vertical, and region.
The data monetization market comprises major solution providers. The study includes an in-depth competitive analysis of key players in the data monetization market with their company profiles, recent developments, COVID-19 developments, and key market strategies.
Key Topics Covered
1 Introduction 1.1 Introduction to COVID-19 1.2 COVID-19 Health Assessment 1.3 COVID-19 Economic Assessment 1.4 Objectives of the Study 1.5 Market Definition 1.6 Market Scope 1.7 Currency Considered 1.8 Stakeholders 1.9 Summary of Changes
2 Research Methodology
3 Executive Summary
4 Premium Insights 4.1 Attractive Opportunities in the Data Monetization Market 4.2 Market, by Organization Size, 2020 Vs 2025 4.3 Market, by Business Function, 2020 Vs 2025 4.4 Market Investment Scenario, 2020-2025
5 Market Overview 5.1 Introduction 5.2 Market Dynamics 5.2.1 Drivers 220.127.116.11 Increase in Volume of Data Generation and Lower Cost of Data Storage 18.104.22.168 Rapid Adoption of Advanced Analytics and Visualization 22.214.171.124 Increase in Use of External Data Sources 126.96.36.199 Growth in the Adoption of Data-Driven Decision-Making 188.8.131.52 Rise in Business Data Volume and Variety 5.2.2 Restraints 184.108.40.206 Varying Structure of Regulatory Policies 220.127.116.11 Lack of Organizational Capabilities and Cultural Barriers 5.2.3 Opportunities 18.104.22.168 Increasing Need to Create Insights from a Pool of Data 22.214.171.124 Rising Adoption of AI for Data Processing 5.2.4 Challenges 126.96.36.199 Quality of Data Collected by Organizations for Monetization 188.8.131.52 Privacy and Security Concerns 184.108.40.206 Increase in Complexities in Data Structures 5.3 Industry Trends 5.3.1 Case Study Analysis 220.127.116.11 Case Study 1: Telecommunication 18.104.22.168 Case Study 2: Media and Entertainment 22.214.171.124 Case Study 3: Telecommunication 126.96.36.199 Case Study 4: Logistics/Transport 188.8.131.52 Case Study 5: Retail 184.108.40.206 Case Study 6: Energy 220.127.116.11 Case Study 7: Healthcare 18.104.22.168 Case Study 8: Manufacturing 22.214.171.124 Case Study 9: IT 5.4 Average Selling Price: Data Monetization Market 5.5 Value Chain Analysis 5.6 Ecosystem 5.7 Types of Data Monetization 5.7.1 Direct Data Monetization 5.7.2 Indirect Data Monetization 5.8 Data Monetization Technologies 5.8.1 Data as a Service 5.8.2 Insight as a Service 5.8.3 Analytics-Enabled Platform as a Service 5.8.4 Embedded Analytics 5.9 Impact of COVID-19 on Data Monetization Market 5.9.1 Cumulative Growth Analysis 5.10 Patent Analysis
6 Data Monetization Market, by Component 6.1 Introduction 6.2 Tools 6.3 Services
7 Data Monetization Market, by Data Type 7.1 Introduction 7.2 Customer Data 7.3 Product Data 7.4 Financial Data 7.5 Supplier Data
8 Data Monetization Market, by Business Function 8.1 Introduction 8.2 Sales and Marketing 8.3 Supply Chain Management 8.4 Operations 8.5 Finance 8.6 Others
9 Data Monetization Market, by Deployment Type 9.1 Introduction 9.2 Cloud 9.3 On-Premises
10 Data Monetization Market, by Organization Size 10.1 Introduction 10.2 Small and Medium-Sized Enterprises 10.3 Large Enterprises
11 Data Monetization Market, by Industry Vertical 11.1 Introduction 11.2 Banking, Financial Services, and Insurance 11.3 Telecommunication 11.4 Consumer Goods and Retail 11.5 Information Technology 11.6 Healthcare 11.7 Manufacturing 11.8 Media and Entertainment 11.9 Transportation and Logistics 11.10 Energy and Utilities 11.11 Others
12 Data Monetization Market, by Region 12.1 Introduction 12.2 North America 12.3 Europe 12.4 Asia-Pacific 12.5 Middle East and Africa 12.6 Latin America
13 Competitive Landscape 13.1 Market Evaluation Framework 13.2 Market Share Analysis 13.3 Market Ranking 13.4 Historical Revenue Analysis of Leading Players 13.5 Key Market Developments 13.5.1 New Product Launches, Product Enhancements, and Business Expansions 13.5.2 Merger and Acquisitions 13.5.3 Partnerships, Agreements, and Collaborations
14 Company Evaluation Matrix and Company Profiles 14.1 Company Evaluation Matrix 14.1.1 Star 14.1.2 Emerging Leaders 14.1.3 Pervasive 14.2 Company Profiles 14.2.1 Microsoft 14.2.2 Salesforce 14.2.3 Oracle 14.2.4 SAP 14.2.5 SAS 14.2.6 Sisense 14.2.7 Tibco Software 14.2.8 IBM 14.2.9 Qlik 14.2.10 Domo 14.2.11 Accenture 14.2.12 Virtusa 14.2.13 Infosys 14.2.14 1010Data 14.2.15 Infor 14.2.16 Reltio 14.2.17 Paxata 14.2.18 Openwave Mobility 14.2.19 Netscout 14.2.20 Adastra 14.2.21 Optiva 14.2.22 Ness 14.2.23 Comviva 14.2.24 Thoughtspot 14.2.25 Looker 14.2.26 Information Builders 14.3 Startup/SME Evaluation Matrix,2020 14.3.1 Progressive Companies 14.3.2 Responsive Companies 14.3.3 Dynamic Companies 14.3.4 Starting Blocks 14.4 Start-up/SME Profiles 14.4.1 Monetize 14.4.2 Elevondata 14.4.3 EMU Analytics 14.4.4 Narrative