Artificial Intelligence (AI) On Edge Semiconductor Market Global Report 2026

The artificial intelligence (AI) on edge semiconductor market size has grown rapidly in recent years. It will grow from $6.89 billion in 2025 to $8.13 billion in 2026 at a compound annual growth rate (CAGR) of 17.9%.The growth in the historic period can be attributed to the increasing deployment of edge computing, growing demand for real-time data processing, expanding adoption of connected devices, rising need for low-latency decision-making, and increasing use of AI-enabled embedded systems.

The artificial intelligence (AI) on edge semiconductor market size is expected to see rapid growth in the next few years. It will grow to $15.5 billion in 2030 at a compound annual growth rate (CAGR) of 17.5%. The growth in the forecast period can be attributed to growing demand for energy-efficient AI computing, increasing adoption of autonomous edge devices, rising need for localized AI inference capabilities, expanding demand for privacy-focused computing, and increasing integration of dedicated AI acceleration technologies. Major trends in the forecast period include growing adoption of on-device AI inference, increasing demand for low-latency AI processing, rising emphasis on energy-efficient AI semiconductors, expanding integration of AI accelerators into edge computing chips, and increasing demand for improved data privacy at the edge.

The increasing deployment of internet of things (IoT) devices is expected to propel the growth of the artificial intelligence (AI) on edge semiconductor market going forward. Internet of Things (IoT) devices are physical objects embedded with sensors, software, and connectivity that collect, exchange, and process data over the internet. The number of Internet of Things (IoT) devices is increasing due to the growing demand for automation, as connected devices enable real-time monitoring, data collection, and automated control of processes with minimal human intervention. Internet of Things (IoT) devices support artificial intelligence (AI) on edge semiconductors by collecting real-time sensor data, enabling edge AI processors to analyze data locally, make intelligent decisions with low latency, improve security and privacy, and deliver faster, more efficient, and autonomous smart applications. For instance, in July 2025, according to the European Commission, a Belgium-based governing body, around 40 billion IoT-connected devices were installed worldwide in 2023, and this number is projected to increase to 49 billion by 2026, representing an annual growth rate of 7%. Therefore, the increasing deployment of internet of things (IoT) devices is driving the growth of the artificial intelligence (AI) on edge semiconductor market.

Leading companies operating in the artificial intelligence (AI) on edge semiconductor market are focusing on developing advanced solutions such as multi-modal edge AI system-on-chip (SoC) platforms to enhance real-time AI inference, power efficiency, and on-device generative AI processing. Multi-modal edge AI system-on-chip platforms are semiconductor solutions that integrate AI accelerators, CPUs, image signal processors, and connectivity into a single chip, enabling devices to process multiple data types including text, images, audio, and video locally with lower latency, reduced power consumption, and greater privacy compared with traditional cloud-dependent AI processing. For example, in September 2024, SiMa Technologies, Inc., a US-based edge AI semiconductor company, launched MLSoC Modalix, an innovative multi-modal edge AI product family designed to support convolutional neural networks (CNNs), transformers, large language models (LLMs), large multimodal models (LMMs), and generative AI applications at the edge. Available in 25, 50, 100, and 200 TOPS configurations, the platform integrates AI accelerators, an image signal processor, digital signal processors, Arm Cortex-A65 CPUs, PCIe Gen 5, and MIPI camera support while delivering more than 10× higher performance per watt than alternative solutions. The platform also enables end-to-end generative AI pipelines on a single chip, providing high-performance, low-power AI processing for industrial automation, healthcare, retail, transportation, aerospace, defense, and smart vision applications.

In April 2024, Microchip Technology Incorporated, a US-based semiconductor manufacturing company, acquired Neuronix AI Labs for an undisclosed amount. Through this acquisition, Microchip Technology Incorporated sought to reinforce its AI-enabled intelligent edge solutions by incorporating Neuronix AI Labs’ neural network sparsity optimization technology, improving the power efficiency and performance of its PolarFire FPGAs and SoCs, supporting cost-effective large-scale edge AI deployments, and simplifying AI/ML implementation for developers without requiring extensive FPGA design expertise. Neuronix AI Labs is an Israel-based artificial intelligence technology company specializing in AI-on-edge semiconductor solutions.

Major companies operating in the artificial intelligence (AI) on edge semiconductor market are Apple Inc, Samsung Electronics Co Ltd, Alphabet Inc, NVIDIA Corporation, Taiwan Semiconductor Manufacturing Company Limited, Intel Corporation, Broadcom Inc, Qualcomm Incorporated, Advanced Micro Devices Inc, Micron Technology Inc, Texas Instruments Incorporated, STMicroelectronics NV, MediaTek Inc, Infineon Technologies AG, NXP Semiconductors NV, Analog Devices Inc, Renesas Electronics Corporation, Microchip Technology Inc, Arm Holdings plc, Synopsys Inc, Cadence Design Systems Inc, Lattice Semiconductor Corporation.

North America was the dominating region in the artificial intelligence (AI) on edge semiconductor market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) on edge semiconductor market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) on edge semiconductor market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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