The Global Value Chain of Edge Artificial Intelligence: a technological and strategic perspective
TL;DR
This paper provides a streamlined overview of Edge AI’s technological foundations highlighting how they enable low‑latency, privacy‑preserving, and context‑aware intelligence on resource‑constrained devices.
Abstract
Edge Artificial Intelligence is emerging as a critical paradigm that brings AI capabilities closer to data sources, addressing the limitations of cloud‑centric architectures. This paper provides a streamlined overview of Edge AI’s technological foundations (its architectures, enabling hardware, model‑adaptation methods, and distributed frameworks) highlighting how they enable low‑latency, privacy‑preserving, and context‑aware intelligence on resource‑constrained devices. It also examines the Edge AI Global Value Chain, outlining how value is created across data, compute, models, and applications, and emphasizing the importance of supporting infrastructures such as semiconductors, telecommunications networks, and cloud–edge platforms. The analysis explores business‑model dynamics, including cost‑efficiency levers, differentiation strategies, vertical integration, and stakeholder expectations. Finally, the paper discusses market trends, data‑center decentralization, and the evolving competitive landscape, showing how Edge AI is poised to become a foundational component of future digital infrastructures.
