The North America artificial intelligence (AI) robots market is projected to grow from USD 5.75 billion in 2025 to USD 38.68 billion by 2035, expanding at a CAGR of 21%, driven by rapid adoption across manufacturing, healthcare, and service industries and advancements in autonomous robotics technologies.

North America Artificial Intelligence (AI) Robots Market Statical Scope

The significant adoption of advanced technologies and tools within the domains of artificial intelligence (AI) and robotics is a primary factor driving the demand for AI robots in the North American region. In addition, supportive government initiatives, policies, and regulatory compliance are motivating robotics companies to enhance their offerings and drive innovation in AI robots tailored for specialized applications, ultimately leading to improved performance.

AI robots employed in North America are equipped with deep learning algorithms, computer vision, natural language processing, and advanced robotics technologies, rendering them more autonomous, adaptable, and capable of real-time decision-making. These robots not only replace manual labor but also foster new working methodologies by augmenting human capabilities.

North America Artificial Intelligence (AI) Robots Market Share, By Offering, 2025 (%)

• Hardware- The hardware segment dominated the market with a share of 47%, supported by the rising adoption of advanced robotic systems and intelligent components.
• Software- Software segment held 38% share, driven by growing demand for AI-enabled robotic operating platforms and analytics tools.
• Services- The Services segment held 15% share, driven by growing demand for integration, maintenance, and support services.

North America Artificial Intelligence (AI) Robots Market Share, By Robot Type, 2025 (%)

• Service Robots- The Service Robots segment dominated the market with a share of 48.00%, driven by advances in mobility, perception, AI, and cost reductions.
• Industrial Robots- The Industrial Robots segment held a share of 42.00%, supported by growing automation across manufacturing, an aging workforce and a persistent shortage of skilled manual labor across manufacturing hubs.

North America Artificial Intelligence (AI) Robots Market Share, By Technology, 2025 (%)

• Machine Learning- The machine learning segment dominated the market with a share of 31.00%, driven by increasing implementation of adaptive and predictive robotic systems. Machine learning acts as the brain for these robots, enabling adaptive automation.
• Computer Vision- The Computer Vision segment held a share of 29.00%, supported by the rising adoption of image recognition and object detection capabilities in robots.
• Natural Language Processing- The Natural Language Processing segment held 22.00% share, driven by increasing use of voice interaction and conversational AI in robotics.
• Context Awareness- Context Awareness segment accounted for 18.00%, driven by demand for environment-sensitive and responsive robotic operations.

North America Artificial Intelligence (AI) Robots Market Share, By Deployment Mode, 2025 (%)

• Cloud- Cloud deployment segment dominated with a share of 56%. This dominance is driven by scalability, centralized data processing, and remote robotic management capabilities.
• On-premises- The on-premises deployment segment held a share of 44%, supported by demand for improved data security, privacy regulations like GDPR and operational control.

North America Artificial Intelligence (AI) Robots Market Share, By Application, 2025 (%)

• Industrial- The industrial segment dominated with a share of 26%. This is supported by strong automation demand across manufacturing and production facilities.
• Healthcare Assistants- The Healthcare Assistants segment held 14% share, supported by increasing use of robotic assistance in patient care, severe healthcare workforce shortages and medical support functions.
• Education and Entertainment- Education and Entertainment segment held 12%, supported by growing use of interactive and educational robotic systems. Policies like the European Commission's Digital Education Action Plan push AI technologies.
• Stock Management- The stock management segment accounted for 10%, driven by the rising implementation of robotic inventory and warehouse automation systems.

Competitive Landscape

The report profiles key companies, including SoftBank Group Corporation, NVIDIA Corporation, Intel Corporation, Microsoft Corporation, IBM Corporation, Hanson Robotics Limited, KUKA AG, Xilinx, Inc., ABB Group, and FANUC Corporation. NVIDIA is recognized for its leadership in graphics processing units (GPUs), which are indispensable for AI computations, while Intel provides versatile hardware solutions for robotics applications. IBM concentrates on software and AI platforms, facilitating advanced analytics and cognitive computing. Microsoft offers cloud services and frameworks such as Azure, enhancing the development and deployment of robotics initiatives. Hanson Robotics is renowned for its creation of lifelike robots endowed with advanced AI capabilities for enhanced human interaction. Established market leaders not only drive innovation but also establish standards and influence regulatory frameworks, while new entrants offer fresh perspectives and technological advancements.

Recent Development in the Market

In February 2026, Faraday Future Intelligent Electric Inc., a California-based company specializing in a global shared intelligent electric mobility ecosystem, announced the establishment of FF EAI-Robotics Inc., headquartered in California. The company officially launched its inaugural batch of Embodied AI (EAI) humanoid and bionic robots, namely, the FF Futurist, FF Master, and FX Aegis, with the objective of being the first in North America to deliver both humanoid and quadruped robots concurrently.

Segments Covered in the Report

By Offering

• Software
• Hardware
• Services

By Robot Type

• Service Robots
• Industrial Robots
• Others

By Technology

• Machine Learning
• Computer Vision
• Context Awareness
• Natural Language Processing

By Deployment Mode

• Cloud
• On-premises

By Application

• Personal Assistance and Care
• Education and Entertainment
• Research and Space exploration
• Industrial
• Agriculture
• Healthcare Assistants
• Stock Management
• Others