48+ Gartner Data Monetization, Data monetization leverages data
Written by Karlotte Schröder Feb 13, 2025 · 10 min read
In the case of analytics, typically, these benefits accrue as revenue or expense savings, but may also include market share or corporate market value gains. Gartner analysts are providing additional insights on the evolving landscape of data, analytics and ai, focusing on adeptly balancing opportunity.
Gartner Data Monetization. Board pressure to create revenue from data is rapidly increasing, but the inability to get started stymies efforts to respond. Gartner analysts are providing additional insights on the evolving landscape of data, analytics and ai, focusing on adeptly balancing opportunity. In the case of analytics, typically, these benefits accrue as revenue or expense savings, but may also include market share or corporate market value gains. Companies are always looking to expand their product offerings. According to olive huang, research director at gartner, direct monetization of customer data, such as organizations exchanging information for goods and services, is as old. We are proud to announce that ibm has been named a leader in the 2025 gartner magic quadrant for data science and machine learning platforms (dsml). Data monetization refers to the process of using data to obtain quantifiable economic benefit.
According to olive huang, research director at gartner, direct monetization of customer data, such as organizations exchanging information for goods and services, is as old. Data monetization leverages data generated through business operations, available exogenous. Chief data and analytics officers know that monetizing data can drive business value, yet they struggle to align monetization with demonstrable financial and financial. Gartner analysts are providing additional insights on the evolving landscape of data, analytics and ai, focusing on adeptly balancing opportunity. Internal or indirect methods include using data to make measurable business performance. Gartner expands on this, defining data monetization as the process of using data to obtain quantifiable economic benefits.
Gartner Analysts Are Providing Additional Insights On The Evolving Landscape Of Data, Analytics And Ai, Focusing On Adeptly Balancing Opportunity.
Gartner data monetization. In the case of analytics, typically, these benefits accrue as revenue or expense savings, but may also include market share or corporate market value gains. Data monetization leverages data generated through business operations, available exogenous. Companies are always looking to expand their product offerings. Chief data and analytics officers know that monetizing data can drive business value, yet they struggle to align monetization with demonstrable financial and financial. Board pressure to create revenue from data is rapidly increasing, but the inability to get started stymies efforts to respond.
In 2023, the global data monetization market was valued at usd 3.5 billion, and experts project it to reach usd 14.4 billion by 2032, demonstrating a compound annual growth. Gartner defines data monetization as “the process of using data to obtain quantifiable economic benefit”. As defined by gartner, data monetization is the “process of using data to obtain quantifiable economic benefit.” generally speaking, there are two ways companies typically. This toolkit helps data and analytics leaders drive data. Internal or indirect methods include using data to make measurable business performance.
Gartner data & analytics summit. Less commonly, it may also refer to the act of monetizing data services. Data monetization refers to the process of using data to obtain quantifiable economic benefit. Gartner analysts are providing additional insights on the evolving landscape of data, analytics and ai, focusing on adeptly balancing opportunity. We are proud to announce that ibm has been named a leader in the 2025 gartner magic quadrant for data science and machine learning platforms (dsml).
Data monetization, a form of monetization, may refer to the act of generating measurable economic benefits from available data sources (analytics). Based on an analysis of these cases, this paper provides a set of 12 generic strategies for monetizing data, ranging from sole asset sale to strategically opening data and guaranteeing. According to olive huang, research director at gartner, direct monetization of customer data, such as organizations exchanging information for goods and services, is as old. Gartner expands on this, defining data monetization as the process of using data to obtain quantifiable economic benefits.
