Industry Findings: Enterprise demand for cloud compute across BRICS economies remains steady as large organizations expand digital operations while aligning closely with national infrastructure and data governance priorities. Enterprises in banking, manufacturing, energy, and public services are modernizing core IT systems, analytics platforms, and digital service environments using cloud-based compute, while maintaining firm controls over data location and operational risk. A structural signal emerged in Jun-2024 when several BRICS governments strengthened domestic digital infrastructure and cloud resilience initiatives, emphasizing national capacity development, continuity planning, and system reliability. That policy direction has influenced enterprises to favor hybrid deployment approaches that combine public cloud scalability with domestically hosted environments for regulated and mission-critical workloads. Since then, demand has concentrated on general-purpose and memory-optimized virtual machines supporting transactional systems, analytics processing, and enterprise applications. Use of accelerated compute has increased for AI and advanced analytics projects, but adoption remains selective rather than enterprise-wide. Through 2025, organizations have continued prioritizing predictable performance, workload portability, and phased migration strategies that limit disruption. Cloud compute usage across BRICS shows measured scaling shaped by policy alignment, enterprise scale requirements, and long-term modernization goals rather than short-term capacity expansion.
Industry Player Insights: Industry activity across BRICS markets is shaped by Amazon Web Services, Microsoft Azure, Google Cloud, and Alibaba Cloud. In Aug-2024, Alibaba Cloud expanded compute capacity supporting enterprise and public-sector workloads across multiple BRICS countries, improving availability for large-scale deployments. In Feb-2025, Microsoft Azure increased availability of memory-optimized virtual machines in selected BRICS regions, strengthening support for data-intensive enterprise applications and analytics workloads.