The North America edge artificial intelligence (AI) chips market is projected to expand from USD 3.01 billion in 2025 to USD 13.51 billion by 2035, growing at a CAGR of 16.20%, driven by increasing AI adoption in IoT, autonomous systems, and real-time data processing applications.

North America Edge Artificial Intelligence Chips Market Statical Scope

The market is expected to grow due to its growing demand in the automotive, defense, and industrial automation sectors. The North America edge artificial intelligence chips market is also observed to grow due to heavy R&D investments, along with advanced infrastructure. The technological chips also help to enhance data privacy, real-time processing, and reduce bandwidth in autonomous vehicles . The market also has a strong presence in the processor design domain.

North America Edge Artificial Intelligence Chips Market Share, By Chip Type, 2025 (%)

• Graphics Processing Units (GPUs) - The segment leads the global market, accounting for 24.80% of the market share in 2025. The segment is observed to grow significantly due to its importance in the automotive, surveillance, and IoT industries for its high performance. Growing demand for low-latency AI and local data processing also fuels the segment's growth.
• Application-Specific Integrated Circuits (ASICs)- The segment accounts for 21.40% of the market share and is majorly driven by high demand for low-latency and energy efficiency in automotive, IoT, and consumer electronics segments. The segment's growth is also propelled by its high-performance and specialized nature.

North America Edge Artificial Intelligence Chips Market Share, By Component Type, 2025 (%)

• Hardware - The segment dominated the global market, accounting for 78.30% of the market share in 2025. Factors such as 5G integration, IoT expansion, and growing demand for local and real-time data processing help to fuel the segment's growth. Major shift of the market towards specialized and high-efficiency data processors also fuels the growth.
• Software- The segment holds 21.70% of the market share and is driven by its vital role in industries such as autonomous vehicles, healthcare, and industrial automation. The major focus of the segment on AI inference for local and real-time decision making also fuels the growth.

North America Edge Artificial Intelligence Chips Market Share, By Technology Node, 2025 (%)

• 7 nm and below - The segment led the global market, accounting for 38.70% of the market share in 2025. Factors such as growing demand for high-performance, low-power processing in autonomous vehicles and the smartphone industry fuel the growth of the segment.
• 8 nm to 14 nm- The segment accounts for 33.40% of the market share and is driven by its factors, such as maturity, reliability, and cost-effectiveness.

North America Edge Artificial Intelligence Chips Market Share, By Application, 2025 (%)

• Consumer Electronics - The segment dominated the global market, accounting for 27.20% of the market share in 2025. The rapid integration of the segment into smartphones, wearables, and home automation is a major segment driver.
• Automotive- The segment accounts for 18.90% of the market share and is mainly driven by its rapid growth in domains such as ADAS, autonomous driving, and in-vehicle AI.

North America Edge Artificial Intelligence Chips Market Share, By End-Use Industry, 2025 (%)

• Consumer Electronics - The segment led the global market, accounting for 28.30% of the market share in 2025. The segment also observes growth due to factors such as AI-enabled IoT, local data processing needs, and high-performance computing demands.
• Healthcare- The segment holds 12.40% of the market share and is propelling due to factors such as high demand for low-latency, real-time diagnostics, and privacy-focused patient monitoring.

North America Edge Artificial Intelligence Chips Market Share, By Form Factor, 2025 (%)

• Embedded Edge AI Chips - The segment dominated the global market, accounting for 63.80% of the market share in 2025. The segment's growth is majorly driven by higher demand for low-latency, low-power solutions and real-time processing.
• Standalone Edge AI Chips- The segment holds 36.20% of the market share and is driven by higher demand for on-device processing in industries such as automotive, consumer electronics, and industrial IoT.

Competitive Landscape

• NVIDIA Corporation- The company is known as a dominant leader in AI computing, along with its high-performance and real-time AI at the edge for robotics, autonomous machines, and healthcare.
• Qualcomm Technologies, Inc.- The company is known as a leader in edge AI, designing high-performance, power-efficient processors and various software.
• Intel Corporation- The major player of the edge AI chip market focuses on bringing high-performance, low-power AI processing directly to local devices such as sensors, cameras, and industrial machines.

Segments Covered in the Report

By Chip Type

• Application-Specific Integrated Circuits (ASICs)
• Field Programmable Gate Arrays (FPGAs)
• Graphics Processing Units (GPUs)
• Central Processing Units (CPUs)
• Neural Processing Units (NPUs) / AI Accelerators
• Digital Signal Processors (DSPs)
• Others (e.g., Vision Processing Units - VPUs)

By Component Type

• Hardware
• Software

By Technology Node

• 7 nm and below
• 8 nm to 14 nm
• 15 nm to 28 nm
• Above 28 nm

By Application

• Consumer Electronics
• Automotive
• Healthcare
• Industrial Automation
• Surveillance and Security
• Retail
• Others (Smart Agriculture, Smart Cities)

By End-Use Industry

• Automotive
• Healthcare
• Consumer Electronics
• Manufacturing & Industrial
• Telecommunications
• Retail & E-commerce
• Others

By Form Factor

• Embedded Edge AI Chips
• Standalone Edge AI Chips