Today, cloud migration is the foundation for long-term growth. This shift is already gaining momentum in the Middle East, where governments and enterprises are prioritising cloud adoption as a strategic enabler. The UAE’s public cloud market is projected to reach $45.41 billion by 2030, with KSA close behind at $13.97 billion by 2033; strong signals that the region is preparing for what’s next.
However, rather than simply shifting systems, the real impact comes from the measurable business value that cloud migration can deliver. This is especially true when customer-facing applications and the data behind them are moved to the cloud.
Choosing the Right Migration Approach
Cloud migration typically follows two paths: vertical and horizontal, each with distinct trade-offs. Vertical migration moves applications one by one—ideal when prioritising certain systems or when application interdependencies are low. It’s resource-efficient and allows for focused risk management. Horizontal migration moves entire system layers at once, suited for tightly integrated environments or where legacy systems need fast retirement. It’s quicker, supports parallel workflows, but requires deeper technical expertise.
Most organisations combine both, horizontally migrating core systems like data platforms, while taking a vertical approach for customer-facing applications. Regardless of the path, success depends on driving a culture shift. Employees must adapt to new, consumption-based models to unlock the potential of AI and collaborative, data-driven innovation to achieve business value. Migration is just the start of the journey.
Why a Data-first Mindset is Critical
In a region where over 69% of organisations plan to increase AI investment in the coming year, migrating to the cloud requires a data-first approach. For those acting as catalysts for change, whether that be IT managers or even CIOs, data must be at the forefront of their minds before planning any successful migration. Understanding how data is used within the organisations, including its structure, governance needs, and how it delivers value and business outcomes, is imperative. This applies doubly when it comes to large, complex systems with many interconnected applications.
Before migrating, businesses must assess their entire ecosystem to ensure the end-to-end product remains intact. Core competencies like data governance, business process knowledge, change management, compliance, and risk oversight should stay in-house, as they rely on institutional knowledge.
Technical tasks, such as cloud optimisation, performance testing, code conversion, and migration tooling, can be outsourced to external expertise who use AI-driven technologies. Technical parts of the immigration tend to evolve rapidly and require specialist knowledge, so they are ripe for outsourcing. Strong governance and regular knowledge transfer are required to maintain alignment.
Different parts of the business all have a role to play: IT and engineering manage technical implementation, while finance oversees ROI and cloud cost control. A cross-functional steering committee with representatives from all departments helps align goals, anticipate challenges, and keep the process on track.
Adaptability Ensures Longevity
Migration isn’t one-size-fits-all. Leaders should stay flexible, whether opting for a basic lift-and-shift or a move-and-improve approach that reduces technical debt. The right data platform should support an agnostic architecture and the freedom to choose between data models, allowing teams to work at their own pace with minimal disruption.
Tool flexibility also matters. In regions like EMEA, where data regulations vary, platforms must support strong collaboration, data quality, governance, and compliance, especially around data sovereignty and European data residency.
Stronger Security Together
The shift to the cloud fundamentally changes security. The traditional cloud ‘shared responsibility’ model clearly demarcated duties between the provider and the customer. However, a more advanced approach is emerging: the ‘shared destiny’ model. This model recognises that in the event of a breach, reputational damage affects both parties. This shared risk incentivises the cloud provider to be a more proactive partner, actively helping customers strengthen their security posture rather than simply managing their own side of the demarcation line.
The Time to Migrate is Now
Standing still is the bigger risk. If outdated tech is blocking progress, it’s time to migrate. Cloud adoption opens the door to AI and other innovations, but it’s not as simple as plug and play. Success requires a flexible, data-driven strategy and a ‘shared destiny’ approach to security. A modern, flexible data platform ensures the whole organisation can collaborate securely and deliver a path to future innovation and growth.
