Cloud Migration and Modernization
Cloud Migration and Modernization
The Way Forward for Saudi Arabia
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Saudi Arabia’s cloud evolution has been reshaping how organizations operate and innovate. According to IDC, public cloud spending in the Kingdom is projected to grow at a 31% CAGR between 2025 and 2029, nearly tripling in annual market size. This growth, fueled by Vision 2030 programs, cloud-first strategies, and large-scale public- and private-sector initiatives, has been transformative.
Across the Middle East, there has been a clear shift from infrastructure-led adoption to platform-led innovation, with cloud powering modern applications, AI capabilities, and intelligent automation at scale.
However, the modernization opportunity remains under-tapped.
IDC research shows that 51% of organizations across META continue to rely on legacy applications due to concerns about business disruption. In Saudi Arabia, monolithic systems often increase migration costs and extend timelines, leading enterprises to prioritize lift-and-shift strategies that limit long-term cloud ROI.
At the same time, there’s a rising demand for advanced cloud platforms, AI-enabled services, and modern data architectures. The next stage of cloud maturity in the Kingdom therefore will depend on accelerating application modernization, strengthening governance, and aligning migration strategies with long-term digital transformation goals.
Agenda
Cloud Migration and Modernization
One Day Event
Registration & Networking
Beyond Lift-and-Shift: Redefining Cloud ROI in the Kingdom
As Saudi Arabia’s cloud market accelerates, many organizations remain stuck in lift-and-shift approaches that limit long-term value. This keynote explores why platform-led innovation is the real driver of cloud ROI and ongoing digital transformation.
Building the AI-Ready Data Foundation: Modern Data Architecture for the Cloud Era
As enterprises push toward AI-enabled and data-driven workloads, having a scalable, well-governed data foundation becomes critical to success. This session explores how to design modern data architectures that support advanced analytics, automation, and AI at scale.
The Modernization Roadmap: A Phased Approach to Reducing Cost and Timeline Risk
Monolithic systems often drive up migration costs and stretch timelines, pushing enterprises toward risk-averse, short-term fixes. This session outlines a phased modernization approach that helps organizations manage complexity, control costs, and stay aligned with long-term transformation goals.
Open Discussion- Building for AI: Are Your Data Architecture and Governance Ready?
As demand grows for AI-enabled services, many organizations are still working with data architectures and governance models not built for this scale. This open discussion invites participants to assess readiness gaps and share perspectives on what it truly takes to build a foundation fit for AI-driven workloads.