Product Code: SR112023A3650
Abstract
The global data monetization market size reached US$ 2.9 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 8.3 Billion by 2028, exhibiting a growth rate (CAGR) of 19.2% during 2022-2028.
Data monetization refers to the process of identifying, utilizing, and marketing data to generate monetary value. It assists in boosting profitability, reducing operating costs, improving customer experience, and optimizing the use of data, extracting insights for the businesses, customers, and partners. Besides this, data monetization is also used to mitigate risks, create new opportunities for growth and maximize the value of products and services. Consequently, data monetization is gaining immense traction across the globe.
Data monetization is utilized in different organizations for planning, improving collaborations and sharing data amongst internal and external stakeholders. It also plays a vital role in selling services, reducing churn and supporting customer care. Thus, the growing number of business organizations across the globe represents one of the significant factors bolstering the market growth. Besides this, data monetization offers numerous commercial opportunities for business intelligence support, including mobile marketing. Additionally, the introduction of advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI) and big data, have encouraged companies from different industry verticals to focus on data monetization. Other factors contributing to an increase in the adoption of data monetization include the rising shift towards cloud and cloud-based technology solutions on account of the huge computing and storage power over the physical storage mediums. Apart from this, the rising enterprise data volume, in confluence with the growing awareness about data monetization around the world, is anticipated to fuel the market growth.
Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global data monetization market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on method, organization size and end use.
Breakup by Method:
Data as a Service
Insight as a Service
Analytics-enabled Platform as a Service
Embedded Analytics
Breakup by Organization Size:
Large Enterprises
Small and Medium Enterprises
Breakup by End Use:
BFSI
E-commerce and Retail
IT and Telecommunications
Manufacturing
Healthcare
Energy and Utilities
Others
Breakup by Region:
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being 1010DATA (Advance Communication Corp.), Accenture Plc, Adastra Corporation, Comviva (Tech Mahindra), Infosys Limited, International Business Machines Corporation, Monetize Solutions Inc., Optiva Inc., Paxata Inc. (Datarobot Inc.), Reltio, SAP SE, Thales Group and TIBCO Software Inc.
Key Questions Answered in This Report
- 1. What was the size of the global data monetization market in 2022?
- 2. What is the expected growth rate of the global data monetization market during 2023-2028?
- 3. What has been the impact of COVID-19 on the global data monetization market?
- 4. What are the key factors driving the global data monetization market?
- 5. What is the breakup of the global data monetization market based on the method?
- 6. What is the breakup of the global data monetization market based on the organization size?
- 7. What is the breakup of the global data monetization market based on the end use?
- 8. What are the key regions in the global data monetization market?
- 9. Who are the key players/companies in the global data monetization market?
Table of Contents
1 Preface
2 Scope and Methodology
- 2.1 Objectives of the Study
- 2.2 Stakeholders
- 2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
- 2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
- 2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
- 4.1 Overview
- 4.2 Key Industry Trends
5 Global Data Monetization Market
- 5.1 Market Overview
- 5.2 Market Performance
- 5.3 Impact of COVID-19
- 5.4 Market Forecast
6 Market Breakup by Method
- 6.1 Data as a Service
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
- 6.2 Insight as a Service
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
- 6.3 Analytics-enabled Platform as a Service
- 6.3.1 Market Trends
- 6.3.2 Market Forecast
- 6.4 Embedded Analytics
- 6.4.1 Market Trends
- 6.4.2 Market Forecast
7 Market Breakup by Organization Size
- 7.1 Large Enterprises
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
- 7.2 Small and Medium Enterprises
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
8 Market Breakup by End Use
- 8.1 BFSI
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
- 8.2 E-commerce and Retail
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
- 8.3 IT and Telecommunications
- 8.3.1 Market Trends
- 8.3.2 Market Forecast
- 8.4 Manufacturing
- 8.4.1 Market Trends
- 8.4.2 Market Forecast
- 8.5 Healthcare
- 8.5.1 Market Trends
- 8.5.2 Market Forecast
- 8.6 Energy and Utilities
- 8.6.1 Market Trends
- 8.6.2 Market Forecast
- 8.7 Others
- 8.7.1 Market Trends
- 8.7.2 Market Forecast
9 Market Breakup by Region
- 9.1 North America
- 9.1.1 United States
- 9.1.1.1 Market Trends
- 9.1.1.2 Market Forecast
- 9.1.2 Canada
- 9.1.2.1 Market Trends
- 9.1.2.2 Market Forecast
- 9.2 Asia-Pacific
- 9.2.1 China
- 9.2.1.1 Market Trends
- 9.2.1.2 Market Forecast
- 9.2.2 Japan
- 9.2.2.1 Market Trends
- 9.2.2.2 Market Forecast
- 9.2.3 India
- 9.2.3.1 Market Trends
- 9.2.3.2 Market Forecast
- 9.2.4 South Korea
- 9.2.4.1 Market Trends
- 9.2.4.2 Market Forecast
- 9.2.5 Australia
- 9.2.5.1 Market Trends
- 9.2.5.2 Market Forecast
- 9.2.6 Indonesia
- 9.2.6.1 Market Trends
- 9.2.6.2 Market Forecast
- 9.2.7 Others
- 9.2.7.1 Market Trends
- 9.2.7.2 Market Forecast
- 9.3 Europe
- 9.3.1 Germany
- 9.3.1.1 Market Trends
- 9.3.1.2 Market Forecast
- 9.3.2 France
- 9.3.2.1 Market Trends
- 9.3.2.2 Market Forecast
- 9.3.3 United Kingdom
- 9.3.3.1 Market Trends
- 9.3.3.2 Market Forecast
- 9.3.4 Italy
- 9.3.4.1 Market Trends
- 9.3.4.2 Market Forecast
- 9.3.5 Spain
- 9.3.5.1 Market Trends
- 9.3.5.2 Market Forecast
- 9.3.6 Russia
- 9.3.6.1 Market Trends
- 9.3.6.2 Market Forecast
- 9.3.7 Others
- 9.3.7.1 Market Trends
- 9.3.7.2 Market Forecast
- 9.4 Latin America
- 9.4.1 Brazil
- 9.4.1.1 Market Trends
- 9.4.1.2 Market Forecast
- 9.4.2 Mexico
- 9.4.2.1 Market Trends
- 9.4.2.2 Market Forecast
- 9.4.3 Others
- 9.4.3.1 Market Trends
- 9.4.3.2 Market Forecast
- 9.5 Middle East and Africa
- 9.5.1 Market Trends
- 9.5.2 Market Breakup by Country
- 9.5.3 Market Forecast
10 SWOT Analysis
- 10.1 Overview
- 10.2 Strengths
- 10.3 Weaknesses
- 10.4 Opportunities
- 10.5 Threats
11 Value Chain Analysis
12 Porters Five Forces Analysis
- 12.1 Overview
- 12.2 Bargaining Power of Buyers
- 12.3 Bargaining Power of Suppliers
- 12.4 Degree of Competition
- 12.5 Threat of New Entrants
- 12.6 Threat of Substitutes
13 Price Analysis
14 Competitive Landscape
- 14.1 Market Structure
- 14.2 Key Players
- 14.3 Profiles of Key Players
- 14.3.1 1010DATA (Advance Communication Corp.)
- 14.3.1.1 Company Overview
- 14.3.1.2 Product Portfolio
- 14.3.2 Accenture Plc
- 14.3.2.1 Company Overview
- 14.3.2.2 Product Portfolio
- 14.3.2.3 Financials
- 14.3.2.4 SWOT Analysis
- 14.3.3 Adastra Corporation
- 14.3.3.1 Company Overview
- 14.3.3.2 Product Portfolio
- 14.3.4 Comviva (Tech Mahindra)
- 14.3.4.1 Company Overview
- 14.3.4.2 Product Portfolio
- 14.3.5 Infosys Limited
- 14.3.5.1 Company Overview
- 14.3.5.2 Product Portfolio
- 14.3.5.3 Financials
- 14.3.5.4 SWOT Analysis
- 14.3.6 International Business Machines Corporation
- 14.3.6.1 Company Overview
- 14.3.6.2 Product Portfolio
- 14.3.6.3 Financials
- 14.3.6.4 SWOT Analysis
- 14.3.7 Monetize Solutions Inc.
- 14.3.7.1 Company Overview
- 14.3.7.2 Product Portfolio
- 14.3.8 Optiva Inc.
- 14.3.8.1 Company Overview
- 14.3.8.2 Product Portfolio
- 14.3.8.3 Financials
- 14.3.8.4 SWOT Analysis
- 14.3.9 Paxata Inc. (Datarobot Inc.)
- 14.3.9.1 Company Overview
- 14.3.9.2 Product Portfolio
- 14.3.10 Reltio
- 14.3.10.1 Company Overview
- 14.3.10.2 Product Portfolio
- 14.3.11 SAP SE
- 14.3.11.1 Company Overview
- 14.3.11.2 Product Portfolio
- 14.3.11.3 Financials
- 14.3.11.4 SWOT Analysis
- 14.3.12 Thales Group
- 14.3.12.1 Company Overview
- 14.3.12.2 Product Portfolio
- 14.3.12.3 Financials
- 14.3.12.4 SWOT Analysis
- 14.3.13 TIBCO Software Inc.
- 14.3.13.1 Company Overview
- 14.3.13.2 Product Portfolio
- 14.3.13.3 SWOT Analysis