Akamai Technologies has crossed US$1 billion in annual revenue from the Asia Pacific region for 2025, the company announced on 10 June 2026. The milestone marks a strategic inflection point as the company pivots its APAC growth thesis from content delivery toward edge AI inference and distributed cloud infrastructure.
The company has appointed Sean Li as Senior Vice President of Sales and Managing Director for the Asia Pacific region to lead the next phase. Under Li, Akamai is repositioning its APAC business around a core argument: that traditional centralised cloud architectures were not built for real-time AI inference at scale, and that latency and proximity increasingly determine competitive outcomes across sectors including retail, automotive, healthcare, and financial services.
GPU-powered inference at the edge
Akamai’s strategy centres on running AI workloads — particularly inference — on what it describes as one of the world’s most distributed cloud platforms. The company is bringing GPU-powered compute closer to users and data, targeting use cases such as recommendation engines, live video intelligence, autonomous vehicles, assistive agents, and high-resolution video workflows. The shift reflects a broader industry transition from centralised model training toward distributed inference.
APAC’s diversity is central to the opportunity Akamai is articulating. Mature markets such as Japan and Australia are adopting managed infrastructure models for performance and resilience, while fast-growing economies across India, China, and Southeast Asia are producing AI-native companies built for speed. Korea is reflecting both trends simultaneously.
Security embedded in infrastructure
Akamai’s next phase in APAC will also focus on embedding security — including AI application and workload protection — directly into the infrastructure layer, rather than treating it as a separate overlay. The company frames this as eliminating the traditional trade-off between performance and protection.
“APAC is moving beyond AI experimentation to execution. The real challenge now is making AI work in live environments — where latency, scale, and reliability directly impact revenue and the customer experience. By bringing inference to the edge, we are giving enterprises a platform to deploy intelligence instantly, securely, and at a scale that centralized clouds simply cannot match,” said Sean Li, Senior Vice President of Sales and Managing Director, Asia Pacific, Akamai.
