How Big Is the Edge Ai Chip Market | Trends 2031

Q: How big is the edge AI chip market?

The edge AI chip market is projected to reach USD 9.5 billion by 2031.

Q: What is the CAGR of the edge AI chip market?

The edge AI chip market is expected to grow at a CAGR of 13.9% during the forecast period.

Q: What are the major applications of edge AI chips?

Edge AI chips are widely used in autonomous vehicles, surveillance cameras, smartphones, industrial IoT, drones, and smart wearables.

Q: Which chip types are leading in the edge AI chip market?

ASICs, GPUs, and NPUs are the dominant chip types due to their power-efficient and high-speed AI processing capabilities.

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Code: MTA5674

Publication Date: Jul 2025

How big is the edge AI chip market?

According to 6Wresearch internal database and industry insights, the Global Edge Artificial Intelligence Chips Market was valued at USD 1.6 Billion in 2024 and is expected to reach USD 5.7 Billion by 2031, growing at a compound annual growth rate of 9.13% during the forecast period (2025-2031).

The market growth is driven by the rising adoption of smart devices, increased demand for real-time processing at the edge, and the need for low-latency AI solutions across industries. Key advancements in semiconductor design, the proliferation of IoT ecosystems, and growing investment in edge computing infrastructure are further driving the expansion of this high-potential segment.

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Key Growth Factors of the Edge AI Chip Market

Proliferation of AI-powered edge devices across industrial and consumer sectors
Demand for real-time decision-making with reduced latency
Advancements in energy-efficient chip architectures
Growing use of edge AI in autonomous vehicles, robotics, and smart surveillance
Increasing R&D investment in edge computing platforms by worldwide tech giants

Edge AI Chip Market Trends

The market is evolving with a shift toward application-specific integrated circuits (ASICs) and neuromorphic chips for enhanced efficiency. There is a growing emphasis on low-power AI inference solutions for wearables and mobile devices. Integration of edge AI chips with 5G networks is enabling smart city and smart manufacturing deployments. Partnerships between chipmakers and cloud providers are accelerating hybrid AI infrastructure development.Â

Emerging Developments in the Edge AI Chip Market

Tech companies are innovating with next-gen chipsets that support federated learning and on-device AI training. Edge AI chip vendors are embedding enhanced security features to address data privacy concerns. Start-ups are entering the space with compact, high-performance chips targeting verticals like retail automation, healthcare diagnostics, and AR/VR applications. Ecosystem collaborations are pushing edge-to-cloud integration.