Edge AI Hardware Market Size (2024 - 2029)

Edge Artificial Intelligence (AI) Hardware Market Analysis

The Edge AI Hardware Market size is estimated at USD 3.76 billion in 2024, and is expected to reach USD 9.31 billion by 2029, growing at a CAGR of 19.85% during the forecast period (2024-2029).

• Rapid growth in edge computing products and services and increasing real-time low latency on edge devices are significant factors for the edge AI hardware market growth. Notably, the need for edge computing in IoT and dedicated AI processors for on-device image analytics are promising areas of market advancement in edge AI devices.
• An edge Al device is an advanced system that processes and powers artificial intelligence-based robots and devices. Data processing is possible with this equipment by integrating artificial intelligence into it and improving its performance. The significant opportunities for the edge AI hardware market include the growing demand for IoT-based edge computing solutions, the rising adoption of 5G networks to bring IT and telecom together, and dedicated AI processors for on-device image analytics.
• The demand for edge AI is growing due to Industry 4.0's widespread deployment across all sectors. The burgeoning penetration of artificial intelligence, IoT & 5G technologies across varied industry verticals, including BFSI, government, hospitality, retail, and consumer goods, is speculated to support the growth of the edge AI Hardware industry. The possibility of performing AI inference without transferring data has generated huge demand for the edge AI Hardware market. Businesses can cut operating costs in critical situations when accuracy and latency are crucial due to the increase in edge AI devices.
• A trend in the edge AI hardware market anticipated to have a beneficial effect in the following years is the rise in demand for smart homes and smart cities. People can now control their homes from anywhere in the world using smart devices. Smart cities are being built using cutting-edge technology like AI, machine learning, big data, and blockchain. Because these technologies are becoming more prevalent across a wide range of industries, smart cities worldwide are increasingly adopting them. This pattern fuels the market for edge AI hardware.
• Security concerns related to edge AI devices are a restraining factor hindering the market's growth. The risk occurs at the local level, where edge AI functions primarily. Since it is open source to any online breaching from determined individuals, human error at the local level is prone to data loss. There is also a significant variation in machine types that are compatible with Edge AI programming, while some are incompatible. Unfortunately, it's likely for faults and failures to happen when incompatible machines work together, which restrains the market.

Edge Artificial Intelligence (AI) Hardware Industry Segmentation

The scope for the edge AI hardware market primarily includes processors, sensors, and cameras that address the need for cognitive computing needs. These devices are used to power and process various AI-based devices. Multiple types of processors used in edge AI devices include semiconductor products such as central processing units (CPU), graphic processing units (GPU), field-programmable gate arrays (FPGA), and application-specific integrated circuits (ASICs).

The edge AI hardware market is segmented by processor (CPU, GPU, FPGA, ASIC), by device (smartphones, cameras, robots, wearables, smart speakers), by end-user industry (government, consumer electronics, real estate, automotive, transportation, healthcare, manufacturing), and by geography (North America, Europe, Asia Pacific, Rest of the World). The market sizes and forecasts are provided in terms of value in USD for all the above segments.