Saudi Arabia has taken a major step in its digital transformation journey. The Saudi Data and Artificial Intelligence Authority (SDAIA) approved a new Data Monetization Policy that defines how government-generated data can create economic value. This policy establishes government data as a strategic national asset. It signals the Kingdom’s intention to treat data not as an administrative byproduct but as critical infrastructure for economic diversification.
The policy draws a clear boundary around what can and cannot be commercialized. Raw government data cannot be sold, transferred, or monetized directly. Instead, value creation must come from products and services built on that data through processing, analysis, enrichment, or other forms of transformation.
Seven Core Principles Guide the Policy
The policy is built around seven core principles. These include recognizing data as a national asset, revenue generation, privacy by design, promoting open data, fostering a culture of data sharing, preventing monopolistic practices, and ensuring transparency. These principles ensure responsible data handling while maximizing economic value.
How the Market Will Work
SDAIA introduced a range of market-enabling mechanisms. These include registration systems, data-use licenses, regulatory sandboxes, and platforms designed to facilitate compliant access to government data. Together, these measures allow development of commercial products and services while operating within clearly defined governance frameworks.
Private companies seeking government data must obtain a usage license and strictly follow its conditions. Licensed entities may develop and monetize products and services based on government data, including open data. However, they are prohibited from re-sharing or transferring datasets beyond approved use cases.
Protecting Competition and Transparency
A notable feature of the policy is its emphasis on competition and market fairness. Governments that open access to valuable datasets often risk creating concentrated advantages for a small number of firms. To address this, the policy requires that government data be made available to private-sector entities on a fair and non-discriminatory basis. It also introduces safeguards against monopolistic behavior and unfair competitive advantages arising from exclusive access to public-sector information assets.
The framework further seeks to balance commercialization with transparency obligations. Data monetization initiatives must not conflict with Saudi Arabia’s Freedom of Information Policy, limit public access to information, or undermine existing open-data commitments. Government entities are required to ensure that monetization activities do not interfere with public information requests or established mechanisms for intergovernmental data sharing.
Scope and Application
The policy applies to data held by government entities when developing, providing, or using data products and services. The scope also covers data obtained by private entities while carrying out tasks on behalf of government agencies, as well as data originally sourced from government entities through any means and for any purpose. Government data classified as “Confidential” or above are excluded from the policy’s scope.
Beyond Direct Revenue
SDAIA explicitly frames data monetization as extending beyond direct revenue generation. The policy recognizes broader forms of value creation. These include improved public-service efficiency, reduced operational costs, enhanced innovation capacity, and accelerated technological development.
Supporting Saudi Vision 2030
The Data Monetization Policy forms part of SDAIA’s broader efforts to regulate the data and artificial intelligence sector in Saudi Arabia. It enhances national data governance and supports the goals of Saudi Vision 2030. The initiative also reinforces the Kingdom’s ambition to become a global leader in data and AI. Saudi Arabia has designated 2026 as the Year of Artificial Intelligence.
The authority called on all relevant entities to review the policy and comply with its provisions. This ensures regulatory adherence, strengthens data governance practices, and maximizes the value derived from data assets.
