Saudi Arabia Data Governance Market Overview

Market Size in 2024: USD 38.25 Million

Market Size in 2033: USD 113.05 Million

Market Growth Rate 2025-2033: 11.88%

According to IMARC Group's latest research publication, "Saudi Arabia Data Governance Market Size, Share, Trends and Forecast by Component, Deployment Mode, Organization Size, Business Function, Application, End Use Industry, and Region, 2025-2033", The Saudi Arabia data governance market size reached USD 38.25 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 113.05 Million by 2033, exhibiting a growth rate (CAGR) of 11.88% during 2025-2033.

Growth Factors in the Saudi Arabia Data Governance Market

• Vision 2030 and Digital Transformation Initiatives

Due to Vision 2030 in Saudi Arabia, which aims to provide digital transformation across sectors such as healthcare, finance, and government services, Vision 2030 has had a notable impact on the data governance market, encouraging the development of data governance frameworks that align with the goal of safe and efficient data usage. One example of a national data governance strategy is the Saudi Data and Artificial Intelligence Authority (SDAIA) publishing the National Data Governance Policy, to standardize data practices and policies among public sector and private sector organizations. This policy recommended organizations, both public and private sector, to insert and adapt practices to adopt data governance solutions that increase trust and accountability throughout digital ecosystems. The evolution of standards, processes and data governance aligns with the broader goals of Vision 2030 and is accelerating growth in the data governance, as companies now want data management solutions that act as platforms of support for their digital transformation and innovation.

• Increasing Adoption of Cloud Technologies

The rapid shift to cloud computing in Saudi Arabia is driving the data governance market, as businesses require frameworks to secure their data in the cloud. Global goods-based companies like Saudi Aramco have partnered with global cloud providers AWS to enhance their storage and processing of data. The partnerships mean that robust data governance must be enforced to protect data and comply with the local regulations like the Personal Data Protection Law (PDPL). The move towards cloud-centric solutions, particularly with SMEs and government entities, is creating demand for governance tools that help manage data access, security, and integrity. This is contributing to the budding data governance market.

• Growing Cybersecurity Concerns

Increased threats to the security and integrity of data are forcing organizations in Saudi Arabia to demonstrate due diligence for data governance to protect sensitive data. A number of state-sponsored incidents, including the attack on Saudi governmental entities in 2017, have articulated the need for data governance framework. For example, the National Cybersecurity Authority (NCA) is now mandating compliance with the Essential Cybersecurity Controls (ECC). Consequently, firms are seeking data governance solutions to protect their data and mitigate risk. Increased attention to cybersecurity investment ensures that organizations are investing in solutions to protect their data integrity, confidentiality, and availability. Banks and health systems, like hospitals, provide the most potential for data governance expansion.

Key Trends in the Saudi Arabia Data Governance Market

• Implementation of Regulatory Compliance Frameworks

A significant trend in the Saudi data governance market has been influenced by the introduction of stricter regulatory compliance frameworks, including the PDPL (Personal Data Protection Law) and the NCA (National Cybersecurity Authority) regulations. Organizations have begun to implement governance solutions to assist in achieving compliance to continue to protect their data privacy and security. For example, the bank Al Rajhi has integrated a data governance platform to enable compliance with Saudi Arabian Monetary Authority (SAMA) guidelines, thereby improving their customer data protection. The presence of regulatory frameworks is establishing and incentivizing a culture of accountability within organizations that are adopting data governance technologies. These organizations are implementing data classification and audit tools to comply with regulations, while also building consumer trust in their data handling practices.

• Rise of AI-Driven Data Governance Solutions

The use of artificial intelligence technologies (AI) within data governance is one of the most popular areas of focus, as organizations can use this technology to streamline their data management processes with automation. AI technologies will help organizations with data classification, anomaly detection, and other aspects of data protection policy enforcement. For example, SDAIA’s Tawakkalna platform utilizes AI technologies to manage health-related data from the Kingdom of Saudi Arabia safely, managing data governance while accessing data during COVID-19 tracking initiatives, along with developing apps and solutions to manage COVID-19 programs. The benefits of these AI solutions are meeting the need for efficiency, scalability and compliance to manage large datasets in today’s fast-paced environment. As AI adoption continues to accelerate by many sectors including retail and the governmental and public sector, companies will increasingly adopt more intelligent data governance solutions that will automate processes and create fundamentally new, automated marketplaces.

• Focus on Data Localization

In Saudi Arabia, data localization is taking off, as regulations require sensitive data to be stored in the country. The PDPL and several other policies require organizations, especially those with sensitive data in key sectors (like healthcare and finance), to have data residency requirements in place. Saudi Telecom Company (STC), for example, has invested in local data centers to meet these regulatory demands and will also require detailed governance frameworks to manage localized data. These kinds of regulations stimulate companies to consider governance solutions for data that would establish data sovereignty, security and access and develop and align to national policy and steer the marketplace towards localized, compliant data management solutions.

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Saudi Arabia Data Governance Industry Segmentation:

The report has segmented the market into the following categories:

Component Insights:

• Software
• Services

Deployment Mode Insights:

• Cloud-based
• On-premises

Organization Size Insights:

• Small and Medium-sized Enterprises (SMEs)
• Large Enterprises

Business Function Insights:

• Operation and IT
• Legal
• Finance
• Sales and Marketing
• Others

Application Insights:

• Incident Management
• Process Management
• Risk and Compliance Management
• Audit Management
• Data Quality and Security Management
• Others

End Use Industry Insights:

• IT and Telecom
• Healthcare
• Retail
• Defense
• BFSI
• Others

Breakup by Region:

• Northern and Central Region
• Western Region
• Eastern Region
• Southern Region

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players.

Future Outlook

Saudi Arabia's data governance market will go through robust growth because of Vision 2030's dedication to digitalization and related regulations. Continued cloud and AI adoption will increase demand for advanced governance solutions, reflected in SDAIA's smart city projects to establish NEOM. Governance solutions will be needed in various sectors, especially as companies must comply with stricter enforcement of data protection laws, such as the PDPL, in finance and healthcare. Furthermore, the increased emphasis on data localization and cybersecurity will result in experimentation with creating brand new, secure and localized data management systems. As Saudi Arabia's goal to be a global digital hub is realized, the data governance market will be a meaningful part of ensuring a trustful, secure, and efficient data ecosystem.

Research Methodology:

The report employs a comprehensive research methodology, combining primary and secondary data sources to validate findings. It includes market assessments, surveys, expert opinions, and data triangulation techniques to ensure accuracy and reliability.

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