Worldwide spending on edge computing reached $265-billion in 2025, expected to nearly double by 2029, reflecting a pivotal expansion fueled by rapid Edge AI advancements that accelerate enterprise transformation and open new opportunities for service providers, according to the IDC Worldwide Edge Spending Guide.
“The combination of maturing edge architectures and rapid AI development is fundamentally redefining how organizations process and act on data,” says Alexandra Rotaru, data and analytics manager and WW Edge Spending Guide Product Lead at IDC.
“We see enterprises and service providers shifting toward intelligent, distributed systems capable of real‑time decisioning and automation at scale.
“Edge AI is no longer experimental, its impact is already visible across industrial automation, smart retail, connected vehicles, and next‑generation healthcare.”
Edge as the foundational layer enabling multiple technology domains
IDC segments edge spending across more than 1 000 named enterprise use cases spanning six domains – AI, IoT, AR, VR, drones, and robotics – highlighting the expanding role of edge infrastructure in enabling advanced intelligent workloads.
Artificial Intelligence is one of the fastest‑growing domains in the forecast, reflecting the increasing need to process data and run complex models directly at the edge.
As organisations deploy more AI‑driven applications that require low‑latency inference, real‑time context, and resilient distributed architectures, edge computing becomes a critical enabler of innovation and value creation across industries.
Which edge-related technology dominates the market?
Hardware remains the dominant investment category early in the forecast period, propelled by the rapid adoption of AI‑accelerated infrastructure and increasingly sophisticated edge systems.
This momentum reflects the growing need for real‑time computing at the point of data creation, as organizations deploy heavier edge architectures capable of supporting advanced AI workloads.
However, the aggregate Services segments (including Provisioned and Professional Services) are expected to surpass hardware’s share by 2029.
Within Provisioned Services, Infrastructure as a Service (IaaS) remains the fastest‑growing category as organizations increasingly rely on scalable, flexible, and cost‑efficient consumption models to meet rising AI‑driven compute requirements at the edge.
As more workloads shift toward distributed and AI‑enabled environments, as‑a‑service offerings provide a critical foundation for managing capacity, optimising costs, and accelerating deployment across diverse industry use cases.
Impact across industries
The Retail & Services sector remains the largest contributor to global edge spending, driven by rapid adoption of AI and IoT-related use cases such as video analytics and real‑time operational optimization.
Manufacturing & Resources follows, with AI‑enabled quality control, predictive maintenance, and autonomous material handling increasingly dependent on real‑time edge processing.
Financial services is the fastest‑growing sector, supported by AI‑driven fraud analysis requiring low‑latency, distributed architectures.
Service Providers also continue to scale investments in AI‑ready edge platforms—including MEC, CDN and virtualized network functions—which are on track to represent nearly one‑third of the total market by 2029.
Regional development
North America will remain the top region for edge spending, driven by rapid adoption of Edge‑AI workloads and advanced infrastructure deployments.
Western Europe and China follow, supported by strong industrial and public‑sector investment in AI‑enabled applications.
The US and Latin America are expected to record the fastest growth, as organizations across both regions scale low‑latency, AI‑driven use cases that benefit from distributed edge architectures.