The regions analyzed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. North America emerged as the most significant global edge AI hardware market, with a 38% market revenue share in 2024.
The lead in edge AI hardware globally belongs to North America because of its powerful technology base, early adoption of new technologies and important players in the industry. Some of the biggest tech companies in the world such as Apple, Google, Intel, NVIDIA, AMD and Qualcomm, all located in the region, are pioneering hardware for AI. Investing much money in research and development, these firms help edge AI chips and devices to continue getting smarter. In addition, the area has developed a solid semiconductor network, powerful manufacturing base and good venture capital which promote fast commercial adoption of new AI technologies. The area’s success is driven by the fast take-up of AI in major industries, for example, consumer electronics, automotive, healthcare and industrial automation. Also, support from the government in the form of favorable policies and funds has been important for the region’s leadership in the field. Security and privacy policies in the United States have added to the development of edge AI by making data processing on devices the preferred approach to protect from cyber-attacks and keep up with regulations.
North America Region Edge AI Hardware Market Share in 2024 - 38%
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The component segment is divided into processor, memory, sensor and others. The processor segment dominated the market, with a market share of around 38% in 2024. As the central part of edge AI systems, processors perform the AI functions such as machine learning, recognition of images and speech and working with natural language. On the other hand, running edge AI processing requires using Graphics Processing Units (GPUs), Neural Processing Units (NPUs), Tensor Processing Units (TPUs), Application-Specific Integrated Circuits (ASICs) and Field Programmable Gate Arrays (FPGAs) because they can handle the workload efficiently even though the devices are small and do not require much energy. Moreover, as AI features are included in consumer electronics, the demand for leading edge processors has increased. Semiconductor companies are spending a lot on AI chips that enable devices to handle AI tasks on their own, making devices faster, more reactive and better protected for users. On the whole, the processor’s important part in handling real-time AI with efficiency means it is the most significant component in AI hardware.
The device type segment is divided into smartphones, surveillance cameras, industrial robots, smart speakers, wearables, autonomous vehicles and edge servers. The smartphones segment dominated the market, with a market share of around 36% in 2024. Since billions of people own smartphones, they are considered the easiest and most common edge device which means AI can be rolled out on smartphones in large numbers. In today’s market, smartphones are fitted with powerful processors and specialized AI accelerators called Neural Processing Units (NPUs), allowing users to do tasks like facial recognition, use voice assistants, enhance pictures, translate languages, try augmented reality or input text in real time, all without using the cloud. Smartphone producers are using powerful edge AI chipsets because more people are demanding smartphone features that rely on AI. In addition, the influence of tech brands like Apple, Samsung, Qualcomm and Huawei on the smartphone world boosts the main use of edge AI components. They keep upgrading their AI-focused hardware to serve a variety of applications which range from tracking health to developing computational photography. As mobile AI lives up to new demands and what users seek, smartphones are the main focus for edge AI on devices. Their ability to be used everywhere, update their processors often and introduce new things are what make them number one in the market.
The power consumption segment is divided into less than 1W, 1–3W, 3–5W and more than 5W. The less than 1W segment dominated the market, with a market share of around 43% in 2024. A key factor for the top position of “less than 1W” in global edge AI hardware is it working well in devices that run on batteries and are small such as wearables, sensors and portable IoT gadgets. These gadgets need to run efficiently as energy is crucial and interruptions to power may happen. That is why many people choose components that draw less than 1 watt, as this lets the device function for longer periods without needing extra batteries or frequent charging. Such behaviour is crucial in remote medicine, smart farms and smart factories because remote equipment function without assistance for a long time. Since microcontrollers and energy-efficient NPUs with AI have appeared in the market, demand for sub-1W AI systems has gone up. They are created to handle particular AI tasks such as detecting anomalies, taking voice commands and conducting primitive image classification without using most of the battery. Even the smallest edge devices can use AI effectively and work intelligently given the advancements in chip architecture and power control.
The end-user industry segment is divided into consumer electronics, automotive, healthcare, industrial, retail, smart cities, aerospace & defense and others. The consumer electronics segment dominated the market, with a share of around 37% in 2024. Smarter experiences are now possible on smartphones, smart speakers, wearable fitness trackers, tablets, smart TVs and home automation systems, mainly due to built-in AI features. Edge AI hardware has the highest potential for deployment because billions of consumer electronics are used around the world. Companies are turning to edge AI in consumer electronics mainly to ensure real-time data handling, faster solutions and more privacy. People are used to getting quick answers from voice assistants, on-the-fly translation into any language, improved photo editing and touchless or facial recognition and they can only get those benefits with the help of special AI hardware like NPUs and microchips inside each device. Since Edge AI processes data locally, there is less time to wait and more security for personal data. Advanced AI features being added by tech giants—Apple, Samsung, Google and Huawei—have encouraged people to use edge AI in everyday consumer gadgets. In order to work directly on devices, from AI apps to cameras and smart health monitors, chip companies spend much on new innovations. As edge AI technology becomes popular and users’ standards rise, consumer electronics will continue to drive its development, staying ahead in this field.
This study forecasts revenue at global, regional, and country levels from 2021 to 2034. The Brainy Insights has segmented the global edge AI hardware market based on below mentioned segments:
Global Edge AI Hardware Market by Component:
Global Edge AI Hardware Market by Device Type:
Global Edge AI Hardware Market by Power Consumption:
Global Edge AI Hardware Market by End-User Industry:
Global Edge AI Hardware Market by Region:
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