Edge AI Chip Market Set for Explosive Growth to USD 27.1 Billion by 2032, Led by North America's 36% Market Share | Key Players - NVIDIA Corporation, Intel Corporation, Advanced Micro Devices, Inc.

The Global Edge AI Chip Market reached USD 7.5 billion in 2024 and is expected to reach USD 27.1 billion by 2032, growing with a CAGR of 17.4% during the forecast period 2025-2032.

Market growth is driven by surging demand for real-time AI processing in IoT devices, autonomous vehicles, and smart infrastructure, alongside the proliferation of 5G networks enabling low-latency edge computing. Advancements in low-power chip architectures, expanding applications in healthcare wearables and industrial automation, rising investments in AI hardware by tech giants like NVIDIA and Qualcomm, and supportive government initiatives for digital transformation are further accelerating market expansion.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID):- https://www.datamintelligence.com/download-sample/edge-ai-chips-market?ram (Single User Report: USD 4350 & One Year Database Subscription: USD 12K)

Key Industry Developments
United States:
✅ January 2026: Qualcomm launched the Edge AI Accelerator Chip for AgTech, enabling real-time crop monitoring and pest detection drones with ultra-low latency processing; this supports USDA-backed precision agriculture pilots in California and Midwest farms, enhancing yield optimization by 25%.

✅ November 2025: Synaptics released Astra SL3000 Edge AI processors tailored for US smart farming sensors, featuring multimodal GenAI for soil and weather analysis; EPA approved its low-power compliance for widespread IoT deployment in sustainable ag initiatives.​

✅ October 2025: BrainChip opened pre-orders for Akida Edge AI Box, a neuromorphic chip optimized for AgTech edge devices like precision sprayers; partnered with US firms for USDA trials in vertical farming, achieving 10x power efficiency over traditional GPUs.​

Asia Pacific / Japan:
✅ December 2025: MediaTek unveiled Dimensity Edge AI Chip for Japanese AgTech robotics, focusing on rice paddy automation; Japanese Ministry of Agriculture approved for national smart farm subsidies, integrating with local IoT networks for predictive harvesting. This supports Japan's 2030 sustainability goals with on-sensor AI inference.​

✅ November 2025: NXP completed Kinara acquisition, launching Japan-targeted Edge AI modules for greenhouse monitoring; secured regulatory nods from APAC standards bodies, emphasizing low-latency fusion for multi-sensor ag environments. Deployment began in Hokkaido pilot farms for real-time disease detection.​

✅ October 2025: Grinn partnered with MediaTek on AI-powered edge solutions for Asia-Pacific smart agriculture, debuting chips for drone-based yield prediction; aligned with Japan's green tech policies, featuring EPA-equivalent energy certifications for export to US markets.​

Strategic Mergers and Acquisitions:
✅ NXP Semiconductors strengthened its edge AI leadership by acquiring Kinara, Inc., a pioneer in high-performance, energy-efficient neural processing units (NPUs), in a $307 million all-cash deal announced February 2025 and expected to close in H1 2025.​

✅ Syntiant expanded its audio AI capabilities with the $150 million acquisition of Knowles' Consumer MEMS Microphone division, enabling end-to-end solutions integrating microphones with edge AI chips.​

Key Players:
NVIDIA Corporation | Intel Corporation | Advanced Micro Devices, Inc. | Hailo Technologies Ltd. | STMicroelectronics | Texas Instruments Incorporated | Mythic | Qualcomm Technologies, Inc. | Samsung | MediaTek

Strategic Leadership Report: Top 5 Players in Edge AI Chip Market 2026
-NVIDIA Corporation: Launched the Jetson Orin Nano module with up to 40 TOPS of AI performance for edge devices, enabling compact, power-efficient inferencing in robotics and smart cameras to drive real-time edge AI deployments.

-Qualcomm Technologies, Inc.: Introduced the Snapdragon X Elite platform with on-device generative AI capabilities, featuring a 45 TOPS NPU for PCs and edge gateways, optimizing low-latency processing in IoT and automotive vision systems.

-Intel Corporation: Rolled out the Core Ultra Series 2 processors with integrated NPU delivering 48 TOPS for edge AI workloads, supporting OpenVINO toolkit optimizations for efficient model deployment in industrial automation and retail analytics.

-Advanced Micro Devices, Inc.: Debuted the Ryzen AI 300 series with XDNA 2 architecture providing 50 TOPS neural processing, enhancing adaptive computing for edge laptops and embedded systems in smart manufacturing and surveillance.

-STMicroelectronics: Advanced the STM32N6 MCU series with Neural-ART Accelerator offering 600 GOPS for ultra-low-power edge AI, targeting always-on computer vision in wearables and smart sensors for sustainable IoT ecosystems.

Buy Now & Unlock 360° Market Intelligence: https://www.datamintelligence.com/buy-now-page?report=edge-ai-chips-market?ram

Regional Insights:
-North America: 36% (Largest share, driven by early technology adoption, strong digital infrastructure, and leadership from U.S. tech hubs).​

-Asia Pacific: 35% (Fastest growing, fueled by robust semiconductor manufacturing, AI in consumer electronics, and smart city initiatives in China and India).​

-Europe: 21% (Supported by automotive safety regulations, smart manufacturing, and data privacy focus in Germany and Nordic countries).​

Key Growth Drivers:
-Surge in IoT devices requiring on-device processing for efficiency and scalability.

-Demand for low-latency, real-time analytics in autonomous vehicles, smartphones, and smart cameras.

-Enhanced data privacy and security through local AI computation, reducing cloud dependency.

-Rapid 5G adoption enabling faster edge ecosystems and high-speed applications like AR/VR.
​
-Advancements in energy-efficient AI chips and algorithms for consumer and enterprise devices.

Speak to Our Analyst and Get Customization in the report as per your requirements: https://www.datamintelligence.com/customize/edge-ai-chips-market?ram

Market Segmentation Analysis:
-By Chip Type: ASICs Dominate for Efficiency
ASICs lead with 35% share in 2024, optimized for specific AI workloads with superior power efficiency and low latency in edge devices.
GPUs hold 25%, excelling in parallel processing for graphics-intensive tasks like AR/VR.
NPUs capture 20%, tailored for neural network acceleration in smartphones and IoT.
CPUs take 15%, valued for versatility in general computing.
Others, including FPGAs, account for 5%, offering reconfigurability for custom applications.

-By Function: Inference Commands Real-Time Processing
Inference dominates at 70% share, powering on-device decisions in autonomous vehicles and smart cameras for instant analytics.
Training holds 30%, used for model fine-tuning on edge servers in data centers and industrial setups.

-By End-User: Consumer Electronics Leads Adoption
Consumer electronics top with 30% share, driven by AI in smartphones, wearables, and smart home devices.
Automotive follows at 20%, enabling ADAS and in-cabin monitoring.
Manufacturing claims 15% for predictive maintenance.
Healthcare and telecommunications each take 12%, supporting diagnostics and 5G edge computing.
Retail & e-commerce hold 6%, while others fill 5%.

Unlock 360° Market Intelligence with DataM Subscription Services: https://www.datamintelligence.com/reports-subscription?ram

Power your decisions with real-time competitor tracking, strategic forecasts, and global investment insights all in one place.

✅ Competitive Landscape
✅ Sustainability Impact Analysis
✅ KOL / Stakeholder Insights
✅ Unmet Needs & Positioning, Pricing & Market Access Snapshots
✅ Market Volatility & Emerging Risks Analysis
✅ Quarterly Industry Report Updated
✅ Live Market & Pricing Trends
✅ Import-Export Data Monitoring

Have a look at our Subscription Dashboard: https://www.youtube.com/watch?v=x5oEiqEqTW

Contact Us -

Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -

DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

This release was published on openPR.