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Global Data Monetization Market (2021 to 2026) - Growth, Trends, COVID-19 Impact and Forecasts -
[June 17, 2021]

Global Data Monetization Market (2021 to 2026) - Growth, Trends, COVID-19 Impact and Forecasts -

The "Data Monetization Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)" report has been added to's offering.

The market for data monetization is expected to reach a CAGR of 15.7% during the forecast period (2021-2026).

Companies Mentioned

  • Accenture (News - Alert) PLC
  • Adastra Corporation
  • Cisco Systems, Inc.
  • Dawex Systems SAS
  • Emu Analytics Ltd.
  • Gemalto NV
  • Google (News - Alert), Inc.
  • IBM Corporation
  • Infosys Limited
  • Ness Technologies, Inc.
  • NetScout Systems, Inc.
  • Openwave Mobility, Inc.
  • SAP SE
  • SAS (News - Alert) Institute

Key Market Trends

Increasing Volume and Variety of Business Data is Expected to Boost the Market Growth

  • As per the Cisco Annual Internet Report (2018-2023), Nearly two-thirds of the global population will have Internet access by 2023. There will be 5.3 billion total Internet users (66 percent of the worldwide population) by 2023, up from 3.9 billion (51 percent of the global population) in 2018. This will increase the extent of data generated and thus indicate an upward trend for data monetization.
  • Moreover, A growing number of M2M applications, such as smart meters, video surveillance, healthcare monitoring, transportation, and package or asset tracking, are contributing in a significant way to the growth of devices, connections and data monetization. By 2023, M2M connections will be half or 50 percent of the total devices and connections.
  • On the other hand, consumer data has been growing in both structured as well as unstructured formats. The rise of E-commerce and social media has changed consumer buying behavior. Hence, industry players are leveraging this data to improve their business strategies by gaining real-time insights. These insights are generally used to optimize supply chain management, operations, sales, and marketing, et. For instance, in 2019, Google LLC registered advertisement revenue of 134.81 billion US dollars an increase of 15.76% as compared to 2018, which indicated a rise in advertisements.
  • Furthermore, the continuously evolving artificial intelligence and machine learning technology, along with IoT, has enhanced the capability of big data as the latter depends heavily on the former for success. For instance, In December 2019, Amazon launched Transcribe Medical, an application that converts patient and physician conversation into digital text format, including advanced clinical terminology, in real-time.

North America is Expected to Hold Major Share

  • The data monetization market is growing in the region owing to the presence of major companies such as Google LLC, Amazon, IBM (News - Alert) Corporation, among others. According to the Electronic Frontier Foundation, Google controls about 62% of mobile browsers, 69% of desktop browsers, and the operating systems on 71% of mobile devices in the world. 92% of internet searches go through Google, and 73% of American adults use YouTube. Google runs code on approximately 85% of sites on the Web and inside as many as 94% of apps in the Play store. It collects data about users' every click, tap, query, and movement from all of those sources and more.
  • The country, being a significant market for various technologies, has immense demand from almost all the end-users in the region. In the case of the United States, the recent John S. McCain National Defense Authorization Act (NDAA), for the fiscal year 2019, approved the spending of USD 716 billion, of which USD 1.46 billion is dedicated to the country's GPS program which is expected to provide opportunities to data monetization in the region.
  • Moreover, companies in the region are partnering with technology companies having expertise in data monetization to enhance their offerings better. For instance, GE Healthcare, partnered with clinicians at the University of California, San Francisco to create a library of deep learning algorithms centered around improving traditional x-ray imaging technologies like ultrasounds and CT scans by incorporating a variety of data sets including patient-reported data, sensor data, and numerous other sources to allow physicians to treat patients quickly, cutting costs and also improving outcomes. For this, GE Healthcare's partnership with Amazon Web Services (News - Alert) (AWS), which provides the ability to deploy machine learning solutions at scale through the Amazon SageMaker machine learning platform.

Key Topics Covered:





4.1 Market Overview

4.2 Industry Attractiveness - Porter's Five Forces Analysis

4.2.1 Bargaining Power of Suppliers

4.2.2 Bargaining Power of Buyers

4.2.3 Threat of New Entrants

4.2.4 Threat of Substitutes

4.2.5 Intensity of Competitive Rivalry

4.3 Assessment of Impact of COVID-19 on Data Monetization Market

4.4 Market Drivers

4.4.1 Rapid Adoption of Advanced Analytics and Visualization

4.4.2 Increasing Volume and Variety of Business Data

4.5 Market Restraints

4.5.1 Interoperability With Existing Systems

4.5.2 The Varying Structure of Regulatory Policies

4.6 Market Challenge

4.6.1 Increasing Complexities in Data Structures and Availability of Consistant Data


5.1 By Deployment Mode

5.2 By Organization Size

5.3 By End-user Industry

5.4 Geography




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