Key Highlights
- 60% of MEA organizations have fully operationalized data sovereignty strategies, the highest level across EMEA.
- Data sovereignty is a top strategic priority for 60% of enterprises over the next 24 months.
- Nearly 45% of organizations are adopting hybrid AI models that balance innovation with governance.
- Third-party vendors remain the biggest visibility challenge, cited by 37.6% of respondents.
- More than 58% of organizations say C-level executives are personally accountable for cyber resilience outcomes.
New Veeam research reveals how Middle East and Africa organizations are leading EMEA in operationalizing data sovereignty while balancing AI innovation, cyber resilience, and regulatory compliance
As artificial intelligence transitions from experimentation to enterprise-wide deployment, organizations across the Middle East and Africa (MEA) are adopting a distinctly pragmatic approach. Rather than prioritizing speed over governance, enterprises in the region are focusing on data sovereignty, operational control, and cyber resilience to ensure AI initiatives deliver sustainable business value.
According to new research from Veeam, MEA organizations are emerging as leaders in translating data sovereignty strategies into operational reality. The findings suggest that organizations increasingly view sovereignty not merely as a regulatory obligation, but as a critical foundation for trusted AI, secure digital transformation, and long-term business resilience.
Data Sovereignty Moves Beyond Compliance
For many years, data sovereignty was largely viewed through the lens of compliance and legal risk. However, the latest research indicates that organizations across the Middle East and Africa are redefining its role.
The study found that 60% of organizations classify data sovereignty as a top strategic priority over the next 24 months, surpassing the global average. More significantly, 60% have already fully operationalized their sovereignty strategies, making MEA the most mature region surveyed across EMEA.
Organizations cite three primary reasons for prioritizing sovereignty:
- Greater control over enterprise data
- Reduced risk of data breaches
- Protection against foreign government access to sensitive information
This shift reflects a growing realization that data has become one of the most valuable enterprise assets, particularly as organizations increasingly rely on AI-driven insights to power decision-making.
“Organizations across the Middle East and Africa increasingly recognize that data sovereignty is not simply a compliance exercise. It is a strategic enabler for building trust in AI and driving secure digital transformation,” said Mena Migally, Regional Vice President, EMEA East at Veeam.
As governments across the region continue investing heavily in digital transformation programs, sovereignty is becoming a key component of national and organizational cybersecurity strategies.
“AI is only as trustworthy as the data that powers it. Organizations must build resilient, secure, and governed data foundations if they want to unlock the full value of AI while maintaining confidence, compliance, and operational continuity.”
— Tim Pfaelzer, General Manager & Senior Vice President, Data Resilience, Veeam
Why Trusted AI Starts with Trusted Data
The rise of generative AI and intelligent automation has transformed how organizations think about data governance.
AI systems are only as effective as the quality, integrity, and accessibility of the data that powers them. Poor governance can lead to inaccurate outcomes, security vulnerabilities, regulatory violations, and reputational damage.
The Veeam research highlights that organizations in the region understand this challenge. Nearly 45% have adopted a hybrid AI strategy, leveraging local AI models for sensitive workloads while using global AI platforms for broader business applications.
This approach enables enterprises to maintain control over critical data while still benefiting from innovation and scalability.
Tim Pfaelzer, General Manager and Senior Vice President of Data Resilience at Veeam, believes that data resilience is becoming a prerequisite for successful AI adoption.
“AI is only as trustworthy as the data that powers it. Organizations must ensure they have complete visibility, control, and resilience across their data environments. Building trusted AI requires resilient data foundations that can support innovation while maintaining security, compliance, and business continuity,” said Pfaelzer.
His perspective reflects a broader industry trend where organizations are increasingly investing in resilience technologies alongside AI initiatives.
Security and Privacy Shape AI Investment Decisions
The findings reveal that security concerns remain the most important factor influencing AI investments across the region.
When asked about the primary drivers behind AI strategy decisions, respondents cited:
- Security concerns (38.8%)
- Privacy requirements (38.4%)
- Cost optimization (37.2%)
- Sovereignty requirements (36.4%)
These findings suggest that organizations are moving beyond the initial excitement surrounding AI and focusing on creating secure and sustainable deployment models.
The rapid emergence of AI-powered cyber threats has further intensified the need for robust governance frameworks. Enterprises are increasingly aware that AI can amplify both innovation opportunities and cybersecurity risks.
As a result, successful AI programs now require close alignment between business leaders, data teams, cybersecurity professionals, and compliance stakeholders.
“Data sovereignty is no longer just a compliance requirement it is becoming a strategic enabler for trusted AI adoption and secure digital transformation.”
— Mena Migally, Regional Vice President, EMEA East, Veeam
The Visibility Challenge Across Complex Ecosystems
Despite strong progress in sovereignty execution, the research identifies a significant challenge that continues to concern enterprise leaders: visibility.
Modern organizations operate across increasingly complex digital ecosystems that include cloud platforms, SaaS applications, AI environments, managed service providers, and global technology partners.
More than one-third of respondents identified third-party vendors and service providers as the biggest obstacle to understanding where data is stored, processed, or accessed.
This lack of visibility creates multiple risks:
- Regulatory non-compliance
- Increased cyber exposure
- Uncontrolled cross-border data transfers
- Limited governance over AI training datasets
Operational control and management of international data flows were identified as the most important components of sovereignty strategies.
As organizations expand their AI initiatives, maintaining visibility over data movement and usage will become increasingly important.
Executive Accountability is Reshaping Cyber Resilience
Another notable finding is the growing accountability placed on executive leadership.
More than 58% of respondents reported that C-level executives now carry personal legal responsibility for cyber resilience outcomes.
This reflects a significant shift in enterprise governance.
Cybersecurity and resilience are no longer viewed solely as IT responsibilities. Instead, they have become strategic business issues that directly impact corporate reputation, shareholder value, and regulatory compliance.
At the same time, 41.6% of respondents acknowledged that increased accountability has resulted in greater stress and pressure among senior leaders.
The challenge for organizations is ensuring that leadership teams have both the visibility and tools necessary to effectively manage cyber risk.
This is particularly important as AI adoption expands and organizations become increasingly dependent on data-driven operations.
Preparing for an Era of Global AI Regulation
While many organizations continue to navigate evolving AI regulations, enterprises across the Middle East and Africa appear confident in their preparedness.
According to the study, 93.6% of respondents believe they will meet the requirements of the EU AI Act.
This demonstrates how international regulatory frameworks are influencing enterprise technology strategies far beyond Europe.
Organizations are proactively strengthening governance, privacy, risk management, and transparency practices to align with emerging standards.
This proactive approach is helping enterprises prepare for future regulatory developments while simultaneously building trust among customers, partners, and stakeholders.
Building Resilience for the Next Phase of Digital Transformation
The findings ultimately point to a broader shift in how organizations view digital transformation.
Success is no longer measured solely by technology adoption. Instead, organizations are increasingly focused on ensuring that innovation is supported by governance, resilience, and trust.
MEA organizations have already demonstrated leadership in operationalizing data sovereignty strategies. The next challenge will be maintaining visibility, control, and resilience as digital ecosystems become more interconnected and AI-driven.
For enterprises across the region, the message is clear: trusted AI requires trusted data. And trusted data can only be achieved through strong governance, operational control, cyber resilience, and a commitment to sovereignty.
As AI continues to reshape industries and redefine competitive advantage, organizations that invest in these foundations today will be best positioned to lead tomorrow’s digital economy.
