Akamai Technologies has outlined its next phase of growth in the Asia-Pacific (APAC) region, focusing on AI inference and distributed cloud infrastructure after surpassing $1 billion in annual regional revenue in 2025.
The milestone comes as enterprises across the region move from AI experimentation to operational deployment, creating new demands on infrastructure, performance and security.
The company said its strategy will centre on enabling AI inference closer to end users through its distributed cloud platform, a move intended to address latency, scalability and reliability challenges associated with real-time AI applications.
Leading the regional expansion is Sean Li, who recently assumed responsibility for the APAC business.
Focus shifts from AI training to AI inference
Akamai believes the next stage of AI adoption will be driven less by model training and more by inference, where AI models generate responses and make decisions in real-time production environments.
According to the company, many enterprises are discovering that traditional centralised cloud architectures can struggle to support latency-sensitive AI workloads at scale, particularly for applications requiring immediate responses.
To address this challenge, Akamai plans to leverage its globally distributed cloud infrastructure to bring GPU-powered computing resources closer to users and data sources.
Potential use cases include recommendation engines, AI-powered assistants, real-time video analytics, autonomous systems and high-resolution media processing workflows.
The company argues that distributing inference workloads closer to points of interaction can improve application responsiveness while reducing dependency on centralised data centres.
Infrastructure demand evolving across APAC
Akamai highlighted the growing diversity of infrastructure requirements across Asia-Pacific markets.
Mature markets such as Japan and Australia are increasingly adopting managed infrastructure services to improve operational resilience and performance, while high-growth markets including India, China and Southeast Asian economies are producing a growing number of AI-native businesses built around cloud-scale operations.
The company also pointed to South Korea as a market where both trends are visible, with established enterprises modernising legacy environments while digital-first organisations expand AI-driven services.
These developments are driving demand for infrastructure platforms capable of operating across multiple regulatory environments, network conditions and user requirements while maintaining consistent performance.
Security and AI infrastructure converge
As part of its AI strategy, Akamai plans to integrate security capabilities directly into its infrastructure offerings.
The company said future investments will focus on combining AI inference, cloud computing and cybersecurity within a single distributed architecture. This includes protection for AI applications and workloads, reflecting growing concerns around securing AI systems as they move into production environments.
Industry analysts have increasingly identified security, governance and operational resilience as key considerations for organisations deploying AI-powered services at scale.
Growing importance of edge infrastructure
The announcement reflects a broader industry trend towards edge computing and distributed infrastructure as AI workloads become more demanding and geographically dispersed.
As enterprises seek to deliver real-time AI services while controlling costs and maintaining performance, infrastructure providers are increasingly positioning edge-based architectures as an alternative to purely centralised cloud models.
For Akamai, the company’s extensive global network footprint represents a strategic asset as organisations evaluate how best to deploy AI applications closer to users, devices and data sources.
The company said its future growth in the region will be driven by helping enterprises operationalise AI in production environments while addressing the performance, scalability and security requirements associated with next-generation digital services.
The announcement highlights how infrastructure providers are increasingly repositioning their platforms to support the emerging demands of agentic AI, real-time inference and distributed computing, areas expected to drive the next phase of enterprise technology investment across Asia-Pacific.
