Global Edge AI Hardware Market Value at USD 2.19 Bn in 2023 and is projected to reach USD 15.74 Bn By 2033, at a CAGR Of 21.8%.

In recent years, the edge artificial intelligence (AI) hardware market has grown rapidly and is projected to keep doing so in the future. Edge AI refers to deploying AI algorithms and models on devices located at the edge of the network – closer to where data is generated – rather than relying solely on centralized cloud computing.

One of the primary factors driving growth in the Edge AI hardware market is an increasing need for AI-enabled devices and applications such as smart home assistants, autonomous vehicles, and industrial automation. To meet these demands, high-performance AI hardware must be deployed that operates in real-time with low latency – something often not achievable with traditional cloud-based solutions.

Some of the major players in the Edge AI hardware market include NVIDIA, Intel, Qualcomm, and Arm. These companies offer a variety of products such as AI processors, system-on-chips (SoCs), and development platforms for this space; NVIDIA’s Jetson platform is one popular example. Developers looking to deploy AI algorithms on edge devices often turn to these companies for assistance.

Overall, the Edge AI hardware market is expected to witness steady growth over the coming years due to rising demand for AI-enabled devices and applications, as well as the ongoing advancement of more sophisticated AI hardware and software solutions.

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