Powering the Next Wave of Edge AI: From Market Momentum to Scalable Silicon Innovation

Artificial intelligence is increasingly moving closer to where data is created. From industrial systems and intelligent cameras to mobile devices and next-generation vehicles, more AI workloads are now being processed directly at the edge rather than exclusively in centralized data centers. This shift is being driven by growing demand for real-time insights, lower latency, improved privacy and more energy-efficient computing.

The market opportunity is substantial. According to recent market estimates, the global edge AI market was valued at US$ 24.91 billion in 2025 and is expected to grow to US$ 29.98 billion in 2026. As edge applications become more sophisticated, companies are looking for semiconductor solutions that can deliver not only performance, but also efficiency, scalability and fast integration into real-world products.

A new generation of AI acceleration for the edge

This evolving market is creating demand for a new class of AI accelerator - one capable of supporting increasingly complex inference workloads closer to the point of use. Against this backdrop, platforms such as Axelera AI’s Europa^TM based on Samsung Foundry’s FinFET technology are gaining attention. Europa is designed for high-performance AI inference in demanding edge environments. Potential applications include edge servers, robotics, computer vision and automotive infotainment. Its technical capabilities include 629 TOPS at 45W TDP, eight second-generation AI Processing Units, 16 RISC-V vector processing cores, integrated pre- and post-processing, 128MB L2 SRAM and 200GB/s DRAM bandwidth.

Platforms like Europa are relevant not only because of their performance profile, but also because of the requirements they address. As AI moves into more real-world environments, edge platforms need to support faster local processing, efficient power use and the flexibility to serve a broad range of applications. From AI-enabled laptops and smart cameras to robotics and in-vehicle experiences, the next wave of edge AI will depend on technologies that can support AI processing closer to where data is generated in a scalable way.

Fabrizio del Maffeo, CEO of Axelera AI, explains: “Bringing high-performance AI inference to both edge and enterprise environments requires not only architectural innovation, but also a manufacturing partner capable of translating that vision into reliable, scalable silicon.” 

Innovation at scale requires more than architecture alone

Advanced chip design, however, is only one part of the equation. Bringing next-generation AI solutions to market also requires a strong ecosystem, close collaboration and Foundry partners that can support the full path from development to implementation.

This is where Samsung Foundry brings a distinctive advantage. Samsung’s strength lies not only in advanced manufacturing, but in its ability to support innovation through an integrated approach spanning semiconductor expertise, design service, and advanced packaging. In an AI market shaped by increasingly complex system requirements, this kind of one-stop solution can help reduce development complexity and support faster, more efficient innovation.

Samsung’s strong focus on AI is particularly relevant in this context. As AI workloads continue to grow, performance must go hand in hand with energy efficiency, high-bandwidth data movement and advanced integration at the system level. By combining deep semiconductor expertise with a broad technology portfolio, Samsung helps enable the high-performance, energy-efficient computing needed for the next generation of AI applications.

Open collaboration as a driver of edge AI progress

Another key factor in this market is collaboration. In AI, breakthrough innovation rarely happens in isolation. It depends on close cooperation across the semiconductor ecosystem – from architecture design and manufacturing to chip integration, packaging and software enablement.

The collaboration with Axelera AI reflects this broader industry direction. As new platforms such as Europa move from concept to deployment, open collaboration becomes increasingly important to turning advanced AI ideas into scalable, real-world solutions. This ecosystem-driven approach is also closely aligned with Samsung’s broader vision of enabling innovation through partnership, technological excellence and customer-centric solutions.

Building the future of edge AI

As edge AI continues to evolve, the companies best positioned for success will be those that can combine leading architectures with strong ecosystems and integrated Foundry capabilities. Innovations such as Europa show how edge AI is advancing toward more demanding, high-value applications. At the same time, Samsung Foundry’s integrated strengths across semiconductor expertise, foundry, design service, and packaging highlight the importance of having the right technology partner to bring these innovations to life.

Together, this combination of advanced AI acceleration, open collaboration and end-to-end semiconductor expertise is helping shape the next wave of edge AI innovation.