| Study Period | 2019 - 2030 |
| Market Size (2025) | USD 3.32 Billion |
| Market Size (2030) | USD 8.74 Billion |
| CAGR (2025 - 2030) | 21.32 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
Edge AI Chips Market Analysis
The Edge AI Chips Market size is estimated at USD 3.32 billion in 2025, and is expected to reach USD 8.74 billion by 2030, at a CAGR of 21.32% during the forecast period (2025-2030).
Driven by technological advancements and rising demand across sectors, the market for edge artificial intelligence (AI) chips is undergoing a significant transformation.
- Edge AI chips drastically reduce data processing times. While cloud processing may introduce latencies of 1 to 2 milliseconds or more, edge processing achieves latencies in the nanosecond range. This rapid processing is crucial for applications like autonomous vehicles that demand immediate decision-making.
- Edge AI chips analyze data on-device, reducing the risk of sensitive information interception during transmission. This localized processing safeguards against data breaches, making it vital for sectors like healthcare and finance, where privacy is crucial. For example, smart cameras equipped with Edge AI can sift through video segments, sending only the essential data to the cloud and minimizing exposure.
- For instance, Medtronic has embedded Edge AI technology into its medical devices. The GIGenius AI-assisted endoscopy module aids physicians in spotting early signs of colorectal cancer through real-time analysis. Moreover, Medtronic's continuous glucose monitoring system leverages Edge AI for tailored diabetes management, offering instant feedback from sensor data.
- Moreover, the rise of dedicated neural processing units (NPUs) and specialized hardware is enhancing the training and execution of AI models directly on edge devices.
- Yet, edge devices typically possess limited processing power compared to cloud servers. This constraint impacts the complexity and scale of AI models deployable on these devices, limiting their performance in demanding applications.
Edge AI Chips Market Trends
5G to Hold Significant Market Demand
- Edge AI chips, when paired with 5G technology, boost the performance and security of IoT devices across diverse applications. As 5G connections proliferate, the market is poised for substantial growth.
- By processing data locally, Edge AI chips cater to applications like healthcare monitoring and industrial automation that require instant responses. Coupled with 5G, these systems communicate without delays.
- Vehicles, generating up to 100 GB of data monthly, rely on high bandwidth for communication. 5G facilitates this seamless data exchange, enhancing road safety and situational awareness. With Edge AI and 5G working together, latency drops to a mere one millisecond, allowing swift reactions to traffic changes—vital for autonomous driving.
- Vodafone and Continental collaborated on a project testing Multi-access Edge Computing (MEC) to bolster AI-driven automotive applications, focusing on enhancing traffic safety.
- Edge AI and 5G are revolutionizing healthcare by enabling real-time data processing, which boosts patient care and operational efficiency. Verizon's case study highlights this synergy: in hospitals, 5G and Edge AI power advanced video diagnostics. For example, during a colonoscopy, endoscope video data is nearly instantaneously processed by Edge AI, which analyzes it for polyp detection against established profiles.
- Traffic cameras, armed with Edge AI, monitor vehicle counts, pedestrian activity, and environmental factors in real-time. This data-driven analysis dynamically adjusts traffic signal timings, leading to a reported 35% reduction in peak-time congestion. Such optimizations not only enhance travel times but also cut down emissions from idling vehicles.
- In summary, the fusion of Edge AI chips with 5G technology is a game-changer, elevating the performance and security of IoT devices across a spectrum of applications.
Understand The Key Trends Shaping This Market
Download PDF
North America is Expected to Hold a Major Share of the Market
- Technological advancements and a surging demand for real-time data processing are propelling the growth of the Edge AI chips market in North America. Home to tech giants like NVIDIA, Intel, and Qualcomm, North America sees these firms heavily investing in the research and development of edge AI technologies. This concentration of expertise not only drives innovation but also accelerates advancements in edge AI chip technology.
- Recognizing the pivotal role of AI in national security, the Biden administration has rolled out a National Security Memorandum (NSM) underscoring the importance of safe and trustworthy AI development. The memorandum underscores the necessity of advanced chips to bolster national security goals.
- Moreover, the CHIPS and Science Act, enacted by President Biden in 2022, dedicates a substantial USD 50 billion to fortify the U.S. semiconductor landscape. Highlighting the significance of advanced chips, especially Edge AI chips, the act underscores their role in fueling innovation across diverse sectors, from AI and telecommunications to transportation. With an aim to rejuvenate domestic semiconductor manufacturing and research, the act is pivotal for the evolution of advanced technologies hinging on Edge AI capabilities.
- These chips, by processing sensitive health data on-site, significantly reduce the risk of data breaches during transmission. By securing patient data directly on the device, healthcare providers can confidently adhere to regulations like HIPAA (Health Insurance Portability and Accountability Act) and PIPEDA (Personal Information Protection and Electronic Documents Act).
- In summary, Edge AI chips are transforming industries in North America, facilitating quicker data processing, bolstering security, and enhancing the efficiency of IoT devices. As the market expands and evolves, these chips are set to play an even more pivotal role in steering the technological future across multiple sectors, spurring innovation and enriching user experiences.
Get Analysis on Important Geographic Markets
Download PDF
Edge AI Chips Industry Overview
The Edge Artificial Intelligence Chips Market is highly competitive and fragmented, primarily driven by the presence of major players. These key players employ strategies such as mergers, acquisitions, and product innovations to maintain a competitive edge and broaden their global footprint. Key player include NVIDIA Corporation, Advanced Micro Devices, Inc. (AMD), Alphabet Inc. and others.
The integration of edge AI chips enhances the capabilities of devices across numerous sectors by enabling real-time data processing with improved security and efficiency. As the market for these chips continues to expand rapidly, their role in facilitating advanced applications in IoT and beyond becomes increasingly critical.
Edge AI Chips Market Leaders
-
NVIDIA Corporation
-
Advanced Micro Devices, Inc. (AMD)
-
Alphabet Inc.
-
Intel Corporation
-
Apple Inc.
- *Disclaimer: Major Players sorted in no particular order
Need More Details on Market Players and Competiters?
Download PDF
Edge AI Chips Market News
- December 2024: Kerala-based Semiconductor startup Netrasemi has raised INR 10 crore (USD 1.2 million) in a Pre Series A round from Unicorn India Ventures to build Edge AI for IoT products. Funds raised will be used for fabrication of two ML SoC chips (Netra A2000 and Netra R1000).
- September 2024: SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, announced MLSoC Modalix, the industry’s first multi-modal edge AI product family. SiMa.ai MLSoC Modalix supports CNNs, Transformers, LLMs, LMMs and Gen AI at the edge, and delivers industry leading performance more than 10 times the performance per watt of alternatives.
Edge AI Chips Industry Segmentation
Edge artificial intelligence chips, also known as edge AI processors, are specialized hardware designed to perform artificial intelligence tasks directly at the edge of a network, close to where data is generated.
The edge artificial intelligence chips market is segmented by chipset (CPU, GPU, ASIC, other chipsets), by device (consumer devices, enterprise devices), by geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.
| By Chipset | CPU |
| GPU | |
| ASIC | |
| Other Chipsets | |
| By Device | Consumer Devices |
| Enterprise Devices | |
| By Geography*** | North America |
| Europe | |
| Asia | |
| Australia and New Zealand | |
| Latin America | |
| Middle East and Africa |
Need A Different Region or Segment?
Customize Now
Edge AI Chips Market Research FAQs
How big is the Edge AI Chips Market?
The Edge AI Chips Market size is expected to reach USD 3.32 billion in 2025 and grow at a CAGR of 21.32% to reach USD 8.74 billion by 2030.
What is the current Edge AI Chips Market size?
In 2025, the Edge AI Chips Market size is expected to reach USD 3.32 billion.
Who are the key players in Edge AI Chips Market?
NVIDIA Corporation, Advanced Micro Devices, Inc. (AMD), Alphabet Inc., Intel Corporation and Apple Inc. are the major companies operating in the Edge AI Chips Market.
Which is the fastest growing region in Edge AI Chips Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).
Which region has the biggest share in Edge AI Chips Market?
In 2025, the North America accounts for the largest market share in Edge AI Chips Market.
What years does this Edge AI Chips Market cover, and what was the market size in 2024?
In 2024, the Edge AI Chips Market size was estimated at USD 2.61 billion. The report covers the Edge AI Chips Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Edge AI Chips Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.
Edge AI Chips Industry Report
Statistics for the 2025 Edge AI Chips market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Edge AI Chips analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.
