Data Monetization Market Outlook by Method, Component, Deployment Mode, Enterprise Size, End-User Vertical

Description

List of Tables

According to the market research report published by P&S Intelligence, in 2021, the data monetization market was worth around $2,092.5 million, which is predicted to hit $9,421.4 million by 2030, growing at an 18.2% compound annual growth rate from 2021 to 2030. The vast volume of data created and the lowering price of data storage as a consequence of technical improvements are two significant factors credited to the market expansion. Furthermore, the market is growing due to the increasing use of visualization and advanced analytics technologies.

The analytics-enabled platform-as-a-service category has a market share of over 40%, and it is predicted to retain its dominance in the next few years, with a share of more than 50% by 2030. This is due to its adaptability, which allows for real-time data analyses with the support of business analytics and intelligence platform.

Moreover, the insight-as-a-service form of data monetization holds an over 15% share in the data monetization market. This is due to the expanding trend of big data analytics, personalized insights, and cloud computing; booming IoT sector, as well as the increasing market competition and rising need for customer management.

The telecommunications & IT industry is the second-largest end user of such methods, accounting for over 19% share in the market, and it is predicted to advance at a rate of around 20% throughout the forecast period. The growing volume of data being transmitted via telecom networks as a result of the rising count of smartphones can be credited for this.

Moreover, due to the rising number of accounts in banks and other financial institutions, which results in the daily collection of vast amounts of data, the BFSI sector is the largest user of data monetization solutions, accounting for a roughly 23% of the data monetization market share. Furthermore, the trend of monetizing payments data is fueled by the changing consumer expectations, migration to real-time payment infrastructure, and increasing margin pressure and competitiveness.

Owing to the increasing penetration of data monetization services, software, and platforms, as well as the existence of a significant number of data providers, the North American data monetization market generates around 35% of the global revenue. Within the region, the Canadian market is predicted to witness a CAGR of 13.9% over the forecast period.

During the projection period, APAC is expected to grow at a CAGR of 22.3%. The growing usage of digital services, such as mobile apps, IoT, cloud, AI, and over-the-top services, as well as the increasing expenditure on technological upgrades, is driving the market expansion. In the regional market, China is the major revenue generator, accounting for an about 40% share.

Product Code: 12373

Chapter 1. Research Background

1.1 Research Objectives
1.2 Market Definition
1.3 Analysis Period
1.4 Market Data Reporting Unit
- 1.4.1 Value
1.5 Market Size Breakdown by Segment
- 1.5.1 Market Segmentation by Method
- 1.5.2 Market Segmentation by Component
- 1.5.3 Market Segmentation by Deployment
- 1.5.4 Market Segmentation by Enterprise Size
- 1.5.5 Market Segmentation by End User
- 1.5.6 Market Segmentation by Region
1.6 Key Stakeholders

Chapter 2. Research Methodology

2.1 Secondary Research
- 2.1.1 Paid
- 2.1.2 Unpaid
- 2.1.3 P&S Intelligence Database
2.2 Primary Research
- 2.2.1 Breakdown of Primary Research, by Region
- 2.2.2 Breakdown of Primary Research, by Industry Participant
- 2.2.3 Breakdown of Primary Research, by Designation
- 2.2.5 Breakdown of Primary Research, by Company Type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Currency Conversion Rates

Chapter 3. Executive Summary

Chapter 4. Definition of Market Segments

4.1 By Method
- 4.1.1 AaaS
- 4.1.2 Embedded Analytics
- 4.1.3 IaaS
- 4.1.4 DaaS
4.2 By Component
- 4.2.1 Software
- 4.2.2 Services
4.3 By Deployment Mode
- 4.3.1 On-Premises
- 4.3.2 Cloud
4.4 By Enterprise Size
- 4.4.1 Large Enterprises
- 4.4.2 SMEs
4.5 By Vertical
- 4.5.1 BFSI
- 4.5.2 Telecommunications & IT
- 4.5.3 Manufacturing
- 4.5.4 E-Commerce & Retail
- 4.5.5 Healthcare
- 4.5.6 Energy & Utilities

Chapter 5. Industry Outlook

5.1 Market Dynamics
- 5.1.1 Trends
  - 5.1.1.1 Technological advancement in the fields of IoT, big data, cloud, and AI
- 5.1.2 Drivers
  - 5.1.2.1 Growth in the quantity and diversity of business data
  - 5.1.2.2 Growing awareness of data monetization
  - 5.1.2.3 Shift toward cloud-based data monetization
- 5.1.3 Impact Analysis of Drivers on Market Forecast
- 5.1.4 Restraints
  - 5.1.4.1 Privacy and security concerns
- 5.1.5 Impact Analysis of Restraints on Market Forecast
5.2 Impact of COVID-19
5.3 Porter's Five Forces Analysis
- 5.3.1 Bargaining Power of Buyers
- 5.3.2 Bargaining Power of Suppliers
- 5.3.3 Intensity of Rivalry
- 5.3.4 Threat of New Entrants
- 5.3.5 Threat of Substitutes

Chapter 6. Global Market Size and Forecast

6.1 Overview
6.2 Market Revenue, by Method (2017-2030)
6.3 Market Revenue, by Component (2017-2030)
6.4 Market Revenue, by Deployment (2017-2030)
6.5 Market Revenue, by Enterprise Size (2017-2030)
6.6 Market Revenue, by End User (2017-2030)
6.7 Market Revenue, by Region (2017-2030)

Chapter 7. North America Market Size and Forecast

7.1 Overview
7.2 Market Revenue, by Method (2017-2030)
7.3 Market Revenue, by Component (2017-2030)
7.4 Market Revenue, by Deployment (2017-2030)
7.5 Market Revenue, by Enterprise Size (2017-2030)
7.6 Market Revenue, by End User (2017-2030)
7.7 Market Revenue, by Country (2017-2030)

Chapter 8. Europe Market Size and Forecast

8.1 Overview
8.2 Market Revenue, by Method (2017-2030)
8.3 Market Revenue, by Component (2017-2030)
8.4 Market Revenue, by Deployment (2017-2030)
8.5 Market Revenue, by Enterprise Size (2017-2030)
8.6 Market Revenue, by End User (2017-2030)
8.7 Market Revenue, by Country (2017-2030)

Chapter 9. APAC Market Size and Forecast

9.1 Overview
9.2 Market Revenue, by Method (2017-2030)
9.3 Market Revenue, by Component (2017-2030)
9.4 Market Revenue, by Deployment (2017-2030)
9.5 Market Revenue, by Enterprise Size (2017-2030)
9.6 Market Revenue, by End User (2017-2030)
9.7 Market Revenue, by Country (2017-2030)

Chapter 10. LATAM Market Size and Forecast

10.1 Overview
10.2 Market Revenue, by Method (2017-2030)
10.3 Market Revenue, by Component (2017-2030)
10.4 Market Revenue, by Deployment (2017-2030)
10.5 Market Revenue, by Enterprise Size (2017-2030)
10.6 Market Revenue, by End User (2017-2030)
10.7 Market Revenue, by Country (2017-2030)

Chapter 11. MEA Market Size and Forecast

11.1 Overview
11.2 Market Revenue, by Method (2017-2030)
11.3 Market Revenue, by Component (2017-2030)
11.4 Market Revenue, by Deployment (2017-2030)
11.5 Market Revenue, by Enterprise Size (2017-2030)
11.6 Market Revenue, by End User (2017-2030)
11.7 Market Revenue, by Country (2017-2030)

Chapter 12. Competitive Landscape

12.1 List of Market Players and Their Offerings
12.2 Recent Strategic Developments of Key Players
- 12.2.1 Mergers & Acquisitions
- 12.2.2 Product Launches
- 12.2.3 Partnerships & Collaborations
- 12.2.4 Other Developments

Chapter 13. Company Profiles

13.1 Microsoft Corporation
- 13.1.1 Business Overview
- 13.1.2 Product and Service Offerings
- 13.1.3 Key Financial Summary
13.2 Oracle Corporation
- 13.2.1 Business Overview
- 13.2.2 Product and Service Offerings
- 13.2.3 Key Financial Summary
13.3 SAS Institute Inc.
- 13.3.1 Business Overview
- 13.3.2 Product and Service Offerings
13.4 SAP SE
- 13.4.1 Business Overview
- 13.4.2 Product and Service Offerings
- 13.4.3 Key Financial Summary
13.5 International Business Machines (IBM) Corporation
- 13.5.1 Business Overview
- 13.5.2 Product and Service Offerings
- 13.5.3 Key Financial Summary
13.6 ThoughtSpot Inc.
- 13.6.1 Business Overview
- 13.6.2 Product and Service Offerings
13.7 QlikTech International AB
- 13.7.1 Business Overview
- 13.7.2 Product and Service Offerings
13.8 TIBCO Software Inc.
- 13.8.1 Business Overview
- 13.8.2 Product and Service Offerings
13.9 Salesforce
- 13.9.1 Business Overview
- 13.9.2 Product and Service Offerings
13.10 Looker Data Sciences Inc.
- 13.10.1 Business Overview
- 13.10.2 Product and Service Offerings

Chapter 14. Appendix

14.1 Abbreviations
14.2 Sources and References
14.3 Related Reports