Edge AI Hardware Market Research Report Data Analysis By Component (CPU, GPU, ASIC, and FPGA.), By Device (Smartphone, Camera, Robot, Automobile, Smart Speaker, Wearables, Smart Mirror, and Others), By Power Consumption (into 0-5 W, 6-10 W, and More Than

Edge AI Hardware Market Research Report Data Analysis By Component (CPU, GPU, ASIC, and FPGA.), By Device (Smartphone, Camera, Robot, Automobile, Smart Speaker, Wearables, Smart Mirror, and Others), By Power Consumption (into 0-5 W, 6-10 W, and More Than 10 W), By Process (Training and Inference), By Vertical (Consumer Electronics, Smart Home, Automotive & Transportation, Healthcare, Aerospace & Defense, Government, Construction) and By Region (North America, Europe, Asia-Pacific, Middle East and Africa, South America) – Global Forecast Till 2030

Market Synopsis

The Edge AI Hardware industry is expected to grow at a CAGR of 21.92% over the forecast period. Edge AI is an algorithm that can process data on a hardware device. This capability enables a device to process data and make decisions autonomously without being connected. AI accelerators, which are specialized Edge AI hardware, increase the ability for data-intensive deep learning inference on Edge devices, making them a viable choice for a variety of compute-intensive activities. As the demand for real-time deep learning workloads grows, specialized Edge AI hardware that allows for rapid deep learning on the device becomes increasingly crucial.

The convergence of 5G and 6G networks provides tremendous growth potential for the Edge AI Hardware Market. With the introduction of 5G networks, ultra-fast connectivity and high bandwidth enable the seamless deployment of real-time, low-latency Edge AI applications, hence boosting the capabilities of AI-enabled intelligent edge devices.

Furthermore, the future development of 6G networks with higher frequency bands, which are expected after 2030, promises even faster speeds, increased bandwidth availability, and improved network dependability, all of which are critical for large-scale edge AI applications. This bodes well for the future of the Edge AI hardware market, as demand for powerful and efficient hardware solutions to support these advanced networks and applications will only rise.

Market Segment insights

The Edge AI Hardware Market is split by component: CPU, GPU, ASIC, and FPGA.

The Edge AI Hardware Market is divided into the following device categories: smartphone, camera, robot, automobile, smart speaker, wearables, smart mirror, and others.

Based on power consumption, the Edge AI Hardware Market is divided into 0-5 W, 6-10 W, and more.

The Edge AI Hardware Market is divided into verticals, including consumer electronics, smart homes, automotive and transportation, healthcare, aerospace and defense, government, construction, and others.

Regional insights

North America is expected to be the leading contributor to the Edge AI Hardware market. This encompasses the United States, Canada, and Mexico. The presence of significant corporations that are always working on strategic development, such as mergers, acquisitions, product launches, and collaborations, has an impact on regional market share. For example, in September 2021, Synaptics Inc. formed a partnership with Edge Impulse. Thousands of embedded developers will be able to use Synaptics' KatanaUltra Low-Power Edge AI Platform in conjunction with the Edge Impulse software development platform to build, train, and deploy custom models for a variety of AI applications as a result of this arrangement.Developers can generate production-ready models faster and more effectively using the Edge Impulse Embedded ML Platform. It also simplifies model optimization, training, and testing in a comprehensive MLOps environment.

Asia-Pacific is one of the world's fastest growing markets for edge AI hardware. The advent of 5G in the region, combined with an increase in IoT-integrated devices, is expected to catapult the Asia Pacific region to the top of the Edge AI Hardware Market growth chart. It is expected that increasing smartphone penetration in China, Japan, India, and South Korea would drive market adoption of AI hardware. China and Japan are the two largest markets in the area. The presence of multiple key suppliers in the automotive, electronics, and semiconductor industries, who are making significant investments in AI technology, is driving the region's edge AI hardware market forward. According to the number of patents filed, China's edge AI industry has seen explosive development in invention over the last year for edge computing and hardware solutions, demonstrating the country's rapid industrial innovation.

Major Players

The market's leading vendors are NVIDIA Corporation, Google (Alphabet Inc.), Intel Corporation, Huawei Technologies Co., Ltd., Apple Inc., Qualcomm Incorporated, Samsung Electronics Co., Ltd., IBM Corporation, Dell Technologies Inc., Microsoft Corporation, ARM, Hailo, MediaTek Inc., Xilinx Inc., and Micron Technology.