PUBLISHER: The Business Research Company | PRODUCT CODE: 1750984
PUBLISHER: The Business Research Company | PRODUCT CODE: 1750984
Edge artificial intelligence integrated circuits (AI ICs) are specialized semiconductor chips designed to execute artificial intelligence tasks directly on edge devices, such as smartphones, sensors, or drones. These circuits allow for real-time data processing without needing to rely on cloud connectivity. Edge AI ICs provide low-latency, energy-efficient, and secure AI performance at the device level, enhancing responsiveness and maintaining data privacy.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The main types of edge artificial intelligence integrated circuits include audio and sound processing, machine vision, and sensor data analysis. Audio and sound processing involves capturing, analyzing, modifying, and reproducing sound signals using digital or analog techniques to improve quality, extract useful information, or create new audio effects. The chipsets used in edge AI circuits include central processing units (CPUs), graphics processing units (GPUs), application-specific integrated circuits (ASICs), and other specialized chipsets. These chips support both training and inference functions. Edge AI ICs are widely applied across various industries, such as automotive, robotics, smart manufacturing, smart cities, and security and surveillance.
The edge artificial intelligence integrated circuits market research report is one of a series of new reports from The Business Research Company that provides edge artificial intelligence integrated circuits market statistics, including the edge artificial intelligence integrated circuits industry global market size, regional shares, competitors with the edge artificial intelligence integrated circuits market share, detailed edge artificial intelligence integrated circuits market segments, market trends, and opportunities, and any further data you may need to thrive in the edge artificial intelligence integrated circuits industry. This edge artificial intelligence integrated circuits market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The edge artificial intelligence integrated circuits (AI ICS) market size has grown rapidly in recent years. It will grow from$2.46 billion in 2024 to $2.90 billion in 2025 at a compound annual growth rate (CAGR) of 17.2%. The growth during the historic period can be attributed to the increasing demand for real-time data processing, the rising adoption of edge computing solutions, the growing deployment of Internet of Things (IoT) devices, the increasing need for low-latency decision-making, and the growing focus on data privacy and security.
The edge artificial intelligence integrated circuits (AI ICS) market size is expected to see rapid growth in the next few years. It will grow to$5.51 billion in 2029 at a compound annual growth rate (CAGR) of 17.4%. This growth in the forecast period can be attributed to the increasing adoption of smart wearables, the growing need for autonomous systems, rising demand for energy-efficient solutions, expanding smart retail solutions, and the increasing demand for edge-based analytics. Major trends expected during this period include advancements in neural processing units, improvements in low-power AI chip design, advancements in edge inference capabilities, developments in AI model compression techniques, and technological innovations in semiconductor fabrication.
The increasing number of Internet of Things (IoT) devices is expected to drive the growth of the edge artificial intelligence integrated circuits (AI ICs) market in the coming years. IoT refers to a network of interconnected devices such as smartphones, sensors, wearables, smart home devices, and security cameras, which communicate and exchange data autonomously. The growing number of IoT devices is driven by the rising demand for real-time data processing in smart home and industrial automation applications, which enable faster decision-making, improved efficiency, and a reduced reliance on cloud infrastructure. Edge AI ICs enhance IoT devices by enabling on-device data processing, making them more responsive and faster. They reduce latency and dependency on cloud computing, enhancing real-time decision-making and overall device efficiency. For instance, in September 2024, IoT Analytics, a Germany-based research firm specializing in IoT market insights, reported that the number of connected IoT devices reached 16.6 billion in 2023, a 15% increase from 14.4 billion in 2022. Therefore, the growing number of IoT devices is fueling the growth of the edge AI ICs market.
Major companies in the edge AI ICs market are focusing on developing innovative solutions, such as high-performance, energy-efficient chips, to enhance AI inference capabilities in edge computing devices. A high-performance, energy-efficient chip is a microprocessor or integrated circuit designed to perform computing tasks with minimal power consumption, reducing heat generation and extending device battery life. For example, in October 2024, MemryX Inc., a Taiwan-based AI chip startup, launched the MX3 edge AI accelerator to meet the growing demand for efficient and high-performance AI solutions at the edge. The MX3 is available as a standalone chip or as part of a 4-chip 2280 M.2 module, offering excellent energy efficiency, ease of use, and scalability across various applications. This accelerator features a dataflow and in-memory computing architecture, delivering high performance, low power consumption, one-click model compilation without retraining, scalability across multiple chipsets, and support for various AI frameworks and platforms.
In March 2022, Groq Inc., a U.S.-based artificial intelligence company, acquired Maxeler Technologies Ltd for an undisclosed amount. This acquisition was aimed at boosting Groq's high-performance computing capabilities by integrating Maxeler's expertise in dataflow computing, which enhances AI inference efficiency and scalability at the edge and in data center environments. Maxeler Technologies Ltd, a UK-based high-performance computing company, contributes to the edge AI ICs domain through its specialization in dataflow computing architectures.
Major players in the edge artificial intelligence integrated circuits (ai ics) market are Microsoft Corporation, Intel Corporation, IBM Corporation, Qualcomm Technologies Inc., NVIDIA Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, STMicroelectronics N.V., MediaTek Inc., NXP Semiconductors N.V., Analog Devices Inc., Marvell Technology Group Ltd., Cadence Design Systems Inc., Ambarella Inc., Tenstorrent, Hailo Technologies Ltd., Kneron Inc., Mythic, MemryX Inc., Samsung Electronics Co. Ltd.
North America was the largest region in the edge artificial intelligence integrated circuits (AI ICS) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in edge artificial intelligence integrated circuits (AI ICS) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the edge artificial intelligence integrated circuits (AI ICS) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The edge artificial intelligence integrated circuits (AI ICS) market consists of sales of field-programmable gate arrays, digital signal processors, connectivity modules, sensors and actuators. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Edge Artificial Intelligence Integrated Circuits (AI ICS) Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on edge artificial intelligence integrated circuits (ai ics) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for edge artificial intelligence integrated circuits (ai ics) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The edge artificial intelligence integrated circuits (ai ics) market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.