Global Demand Drives Edge AI Accelerator Market to USD 110.21 Billion by 2034 at 30.7% CAGR

Edge AI Accelerator Market

The edge AI accelerator market is expected to gain market growth during the forecast period of 2025-2034. Polaris Market Research analyzes the market to account for USD 110.21 billion by 2034 and is expected to register a CAGR of 30.7% in the above-mentioned forecast period. The market was valued at USD 7.60 billion in 2024.

Market Overview

Edge AI accelerator speeds up data-centric deep learning inference on edge devices, making them an attractive option for many compute-intensive tasks. With the growing demand for real-time deep learning functions, specialized AI accelerators that enable fast processing directly on devices have become increasingly essential. The current cloud-dependent AI model is insufficient to handle bandwidth limitations, ensure data privacy, and provide low latency. As a result, AI workloads are shifting toward edge computing.
Hardware acceleration offloads the most power-intensive parts of the model to dedicated hardware designed to provide an additional processing boost to the AI model while simultaneously reducing power consumption. Edge AI chips represent the extreme end of this spectrum, where energy efficiency is critical due to limited power availability and constrained space.

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Driving Factors

• Growing Adoption of Wearable Gadgets: Wearables such as fitness trackers and health monitors create ongoing streams of biometric data that need prompt analysis. Edge AI accelerators enable these gadgets to process heart rate, sleep patterns, and activity metrics sectionally without depending on cloud servers. This results in faster insights and reduced latency for critical health alerts, thereby driving the growth of the edge AI accelerator market.
• Rising Investment in Smart Home: Smart home environments depend on real-time decision-making for tasks such as security observation, energy handling, and voice-regulated mechanisms. Edge AI accelerators enable devices such as smart cameras, thermostats, and speakers to analyze data sectionally, reducing reliance on cloud servers and lessening latency, providing real-time decision making.

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Competitive Landscape

Continuous innovations and technological advancements create opportunities for industries and businesses to transform and expand their product portfolios. The key companies are listed below:

• Apple Inc.
• EdgeCortix Inc.
• Google LLC
• Hailo Technologies Ltd.
• Huawei Technologies Co., Ltd.
• IBM
• Intel Corporation
• Infineon Technologies
• Mythic
• NVIDIA Corporation
• Qualcomm Technologies, Inc.
• Rapidus Corporation

Market Segmentation

The edge AI accelerator market segmentation is based on processor, device, end use, function, and region.

Based on processor, the graphics processing unit (GPU) segment held a major market share in 2024 due to its unprecedented processing potential and flexibility in managing intricate AI workloads at the edge.
Based on device, the smartphone segment dominated the market in 2024, owing to the widespread integration of AI features and the proliferation of 5G technology.

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Geographical Insights

Regional analysis provides an examination of the key variables, including social, physical, and economic, in a regional context. It helps companies understand the needs and wants of their customers in target markets. Thus, stakeholders can make informed decisions about their products or service offerings. Also, regional analysis assists businesses in identifying regions with high growth potential and where they should focus their efforts. Furthermore, it can help stakeholders understand local conditions to analyze policy related to global change.

The key regions and sub-regions of the Edge AI Accelerator Market covered in the research report are:

• North America (U.S., Canada)
• Europe (France, Germany, UK, Italy, Netherlands, Spain, Russia)
• Asia Pacific (Japan, China, India, Malaysia, Indonesia. South Korea)
• Latin America (Brazil, Mexico, Argentina)
• Middle East & Africa (Saudi Arabia, UAE, Israel, South Africa)

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