Edge AI Market to Reach $106.8B by 2033: Trends and Players

AI gets all the headlines. But without embedded computing, it’s just a brilliant idea with nowhere to run. In the race to build smarter cities, safer factories, and more responsive healthcare systems, AI is the brain—but embedded computing is the nervous system. It’s what puts intelligence into motion, at the edge, in real time. Think of it like this: AI says, “I know what to do.” Embedded computing says, “I’ll do it—right here, right now.” From sensors that detect anomalies in milliseconds to edge devices that make split-second decisions without cloud latency, embedded systems are the quiet enablers of intelligent action. Whether it’s a rugged gateway in a remote oil field or a tiny module inside a wearable device, embedded computing brings AI to life where it matters most: close to the data, close to the problem, close to the people. As someone who’s spent years in cloud and now dives deep into embedded, I’m seeing firsthand how this convergence is reshaping industries. It’s not just about performance—it’s about empathy. Solving real-world problems with real-time intelligence. Let’s give embedded its moment. Because AI can’t work without it. #EmbeddedComputing #AI #EdgeIntelligence #IoT #TechWithHeart #Advantech #EmpathyInTech

⚙️ AI chip demand is reshaping U.S. fab roadmaps. Foundries are reallocating capex from legacy logic into HPC and packaging. 💡 Key points: GPU packaging capacity still constrained Memory fabs restarting long-idled expansion plans U.S. fab incentives pulling suppliers onshore 📈 Perspective: AI has moved from tailwind to structural driver for capex. 👉 Will legacy fabs face underutilization, or find new roles in automotive & IoT? #Semiconductors #AI #Manufacturing

Everyone’s talking about AI, but the real magic happens in the chips that power it. A handful of manufacturers are building the chips that make all of this possible. Think TSMC and Samsung Semiconductor pushing bleeding-edge nodes, Intel Corporation and GlobalFoundries bolstering U.S. capacity, and United Microelectronics Corporation (UMC) and SMIC quietly powering the high-volume workhorses of electronics. What’s exciting is how different kinds of innovation matter here: advanced nodes enabling bigger, faster AI models, while specialty processes and mature nodes unlock things like edge computing, automotive, and IoT. It’s not just about who’s fastest, it’s about matching the right materials to the right problem. We put together a quick breakdown of the top AI chip manufacturers in 2025 for those curious about who’s really shaping the future of hardware. Link below 👇 #AI #Semiconductors #Chips #Innovation #AdvancedManufacturing #Nanotronics #FutureOfTech

This week, we had hundreds of engineers join us live to learn all about implementing ML in their designs. Next up, we’ll show you how to take existing AI models and make them perform at their best for your application. Whether you are working with vision, audio, or other sensor-based tasks, you’ll see how retraining, transfer learning, and synthetic data generation can unlock higher accuracy without starting from scratch. You’ll learn: • Why off-the-shelf models often fail in real-world embedded use cases • How to collect and prepare application-specific datasets • Using synthetic data to close coverage gaps and boost robustness • Deploying optimised, quantised models to Alif’s Ensemble and Balletto MCUs • Practical steps to evaluate and refine accuracy before deployment This is a hands-on, engineer-focused guide using proven workflows on the Edge Impulse (a Qualcomm company) platform with Alif Semiconductor’s fusion processors. 👉 Sign up here to secure your spot: https://lnkd.in/eikbb_kE #EmbeddedAI #EdgeAI #MachineLearning #AIoT #IoT #MCU #ModelTraining #SyntheticData #TransferLearning #Engineers

We’ve all seen AI processors labeled as “programmable.” But let’s be honest, most of them feel more like a locked box than an engineering tool. At Ambient Scientific, we asked: What would it really take to build a processor that gives engineers true flexibility? The result is GPX10, powered by our DigAn® architecture, bringing modular analog MACs, runtime frequency scaling, adaptive pre-processing, and a compiler that truly understands analog and event-driven logic. If you’ve ever felt limited by fixed-function chips, this article breaks down how we’re redefining programmability and why it matters for the future of edge AI. Read the full article here: https://lnkd.in/gvyWaR8U Explore more on our website: www.ambientscientific.ai Don’t miss out, subscribe to our newsletter for exclusive updates and insights: https://lnkd.in/gkEPkQdR #EdgeAI #Semiconductors #Programmability #AIHardware #DigAn #IoT #UltraLowPower #AIAccelerators #Innovation #AmbientScientific

Taipei, Taiwan – August 25, 2025 – WoMaster - Master in IIoT World, a leading innovator in industrial AIoT and edge computing, announces the launch of its next-generation AI Edge Computers, the WTK-3821T and WTK-3721T. These powerful platforms are built on NVIDIA® Jetson Orin™ NX and Orin™ Nano modules and deliver up to 100 TOPS of AI performance for advanced industrial applications, including smart manufacturing, machine vision, robotics, and smart city infrastructure. The WTK-3821T features the Jetson Orin NX 16GB or 8GB module, while the WTK-3721T is equipped with the Jetson Orin Nano 8GB or 4GB module. Both systems are engineered for high-performance computing at the edge and come pre-installed with JetPack 6.2, enabling accelerated development using popular AI frameworks such as TensorFlow, PyTorch, DeepStream, Caffe, PaddlePaddle, and TensorRT. #IIOT #IOT #AIOT

🚀 AI-Powered Smart Surveillance on Raspberry Pi 5 with Arm Compute Library & ONNX Runtime I’m thrilled to share how the combination of Raspberry Pi 5 + Arm Compute Library + ONNX Runtime is redefining what’s possible in edge AI surveillance. 🔹 With Raspberry Pi 5’s enhanced CPU/GPU performance, we can now run real-time computer vision models locally — no dependency on cloud latency. 🔹 The Arm Compute Library optimizes neural network inference directly on ARM hardware, ensuring low power, high efficiency, and scalability. 🔹 Paired with ONNX Runtime, it unlocks the ability to deploy state-of-the-art AI models seamlessly at the edge, making it easier to adapt surveillance systems for object detection, anomaly tracking, and smart alerts. What excites me most is how this empowers developers, researchers, and makers to build secure, private, and intelligent surveillance systems without heavy infrastructure. From smart cities to enterprise security to home IoT projects, the potential is enormous. 💡 This is just the beginning — the edge AI ecosystem is growing fast, and ARM-powered devices are at the heart of it. 👉 Would you like me to share a step-by-step demo of how to set up smart surveillance with Raspberry Pi 5 + ARM Compute Library + ONNX Runtime? #ARM #Ambassador #AI #EdgeAI #RaspberryPi5 #ONNXRuntime #SmartSurveillance #IoT #ComputerVision

SiFive Sets Out to Integrate More RISC-V Cores into AI Chip Designs • The Register https://lnkd.in/gA33Vf3F Exciting Developments in RISC-V: SiFive’s Second-Gen Intelligence Cores and AI Solutions SiFive is making waves in the AI space with its newly unveiled second-generation Intelligence cores, revolutionizing how we approach edge AI applications. Here’s the latest scoop that every tech enthusiast should know: Key Highlights: New Intelligence Cores: X160 and X180 targeting low-power applications like IoT and robotics. Core Architecture: Eight-stage dual-issue in-order superscalar processor designed for tensor cores and matrix units. Innovative Interfaces: Introduction of Scalar Coprocessor Interface (SSCI) enhances direct access to CPU registers. Performance Improvements: The X390 Gen 2 boasts 4x compute and 32x data throughput over its predecessor. Enhanced cache hierarchy for improved performance metrics and die area efficiency. Future Readiness: With first customer silicon expected by Q2 2026, SiFive is positioning itself as a leader in AI accelerators. 💡 Curious about how these advancements can impact your projects? Let’s discuss! Share and comment below! Source link https://lnkd.in/gA33Vf3F