미국의 온 디바이스 AI 시장 : 규모, 점유율, 동향 분석, 구성 요소별, 전개별, 기술별, 유형별, 업종별, 부문 예측(2025-2030년)

U.S. On-Device AI Market Size & Trends:

The U.S. on-device AI market size was estimated at USD 5,824.7 million in 2024 and is projected to grow at a CAGR of 29.2% from 2025 to 2030. The rising concerns around privacy and data security largely drive the growth of the on-device AI market in the U.S. As awareness of data breaches and potential misuse continues to increase in the U.S., both consumers and businesses are opting for AI solutions that process data locally on devices instead of through cloud-based systems. This method helps safeguard sensitive information of consumers as well as of businesses such as personal preferences and biometric details by keeping it secured within the device. For instance, Apple's Face ID, which shows and explains how on-device AI can provide strong data protection on the Apple devices while enabling advanced features for consumers and businesses who are using their products.

Another key factor driving the on-device AI market is the growing need for real-time processing. Applications like voice assistants, image recognition, and augmented reality depend on instant response times, which cloud-based AI often struggles to provide due to latency and network reliability issues. On-device AI addresses this challenge by enabling seamless performance even in areas with poor or no internet connectivity, thereby improving the overall user experience. Moreover, innovations in semiconductor technology such as dedicated AI chips and neural processing units (NPUs) have made it feasible to run advanced AI models directly on mobile and edge devices while minimizing power consumption.

The widespread adoption of IoT and smart devices in the U.S. is another major factor driving the growth of the on-device AI market. With an increasing number of connected devices in homes and workplaces, there is a rising demand for local data processing to minimize reliance on the cloud and enhance responsiveness. Additionally, U.S. consumers are placing greater focus on personalized experiences, which on-device AI enables by analyzing user behavior directly on the device. U.S. remains at the forefront of developing and implementing advanced on-device AI technologies to meet these demands.

U.S. On-Device AI Market Report Segmentation

This report forecasts revenue growth at U.S. and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the U.S. on-device AI market based on component, deployment, technology, device type, and vertical.

• Component Outlook (Revenue, USD Million, 2018 - 2030)
• Hardware
• Software
• Deployment Outlook (Revenue, USD Million, 2018 - 2030)
• Cloud
• On-premises
• Technology Outlook (Revenue, USD Million, 2018 - 2030)
• On-Device AI
• Natural Language Processing
• Computer Vision
• Speech Recognition
• Device Type Outlook (Revenue, USD Million, 2018 - 2030)
• Smartphones & Tablets
• Wearables
• Smart Home Devices
• Automotive
• Others
• Vertical Outlook (Revenue, USD Million, 2018 - 2030)
• Consumer Electronics
• Automotive
• Healthcare
• Retail
• Manufacturing
• Security & Surveillance
• Others

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Research Methodology
  • 1.2.1. Information Procurement
• 1.3. Information or Data Analysis
• 1.4. Methodology
• 1.5. Research Scope and Assumptions
• 1.6. Market Formulation & Validation
• 1.7. Country Based Segment Share Calculation
• 1.8. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. On-Device AI Market Variables, Trends, & Scope

• 3.1. Market Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. On-Device AI Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Bargaining power of the suppliers
    • 3.3.1.2. Bargaining power of the buyers
    • 3.3.1.3. Threats of substitution
    • 3.3.1.4. Threats from new entrants
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Economic and Social landscape
    • 3.3.2.3. Technological landscape
• 3.4. Pain Point Analysis

Chapter 4. On-Device AI market: Component Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. On-Device AI market: Component Movement Analysis, 2022 & 2030 (USD Million)
• 4.3. Hardware
  • 4.3.1. Hardware Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.4. Software
  • 4.4.1. Software Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. On-Device AI market: Deployment Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. On-Device AI market: Deployment Movement Analysis, 2022 & 2030 (USD Million)
• 5.3. Cloud
  • 5.3.1. Cloud On-Device AI market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.4. On-premise
  • 5.4.1. On-premise On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. On-Device AI market: Technology Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. On-Device AI market: Technology Movement Analysis, 2022 & 2030 (USD Million)
• 6.3. Machine Learning
  • 6.3.1. Machine Learning On-Device AI market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.4. Natural Language Processing
  • 6.4.1. Natural Language Processing On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.5. Computer Vision
  • 6.5.1. Computer Vision On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.6. Speech Recognition
  • 6.6.1. Speed Recognition On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. On-Device AI market: Device Type Estimates & Trend Analysis

• 7.1. Segment Dashboard
• 7.2. On-Device AI market: Deployment Movement Analysis, 2022 & 2030 (USD Million)
• 7.3. Smartphones & Tablets
  • 7.3.1. Smartphones & Tablets On-Device AI market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.4. Wearables
  • 7.4.1. Wearables On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.5. Smart Home Devices
  • 7.5.1. Smart Home Devices On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.6. Automotive
  • 7.6.1. Automotive On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.7. Others
  • 7.7.1. Others On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. On-Device AI market: Vertical Estimates & Trend Analysis

• 8.1. Segment Dashboard
• 8.2. On-Device AI market: End Use Movement Analysis, USD Million, 2024 & 2030
• 8.3. Healthcare
  • 8.3.1. Healthcare On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.4. Consumer Electronics
  • 8.4.1. Consumer Electronics On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.5. Retail
  • 8.5.1. Retail On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.6. Automotive
  • 8.6.1. Automotive On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.7. Manufacturing
  • 8.7.1. Manufacturing On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.8. Security & Surveillance
  • 8.8.1. Security & Surveillance On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.9. Others
  • 8.9.1. Others On-Device AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 9. Competitive Landscape

• 9.1. Company Categorization
• 9.2. Company Market Positioning
• 9.3. Participant's Overview
• 9.4. Financial Performance
• 9.5. Product Benchmarking
• 9.6. Company Heat Map Analysis
• 9.7. Strategy Mapping
• 9.8. Company Profiles/Listing
  • 9.8.1. Apple Inc.
    • 9.8.1.1. Participant's Overview
    • 9.8.1.2. Financial Performance
    • 9.8.1.3. Product Benchmarking
    • 9.8.1.4. Recent Developments
  • 9.8.2. Amazon.com Inc.
    • 9.8.2.1. Participant's Overview
    • 9.8.2.2. Financial Performance
    • 9.8.2.3. Product Benchmarking
    • 9.8.2.4. Recent Developments
  • 9.8.3. Google LLC
    • 9.8.3.1. Participant's Overview
    • 9.8.3.2. Financial Performance
    • 9.8.3.3. Product Benchmarking
    • 9.8.3.4. Recent Developments
  • 9.8.4. Meta
    • 9.8.4.1. Participant's Overview
    • 9.8.4.2. Financial Performance
    • 9.8.4.3. Product Benchmarking
    • 9.8.4.4. Recent Developments
  • 9.8.5. Microsoft
    • 9.8.5.1. Participant's Overview
    • 9.8.5.2. Financial Performance
    • 9.8.5.3. Product Benchmarking
    • 9.8.5.4. Recent Developments
  • 9.8.6. Intel Corporation
    • 9.8.6.1. Participant's Overview
    • 9.8.6.2. Financial Performance
    • 9.8.6.3. Product Benchmarking
    • 9.8.6.4. Recent Developments
  • 9.8.7. NVIDIA Corporation
    • 9.8.7.1. Participant's Overview
    • 9.8.7.2. Financial Performance
    • 9.8.7.3. Product Benchmarking
    • 9.8.7.4. Recent Developments
  • 9.8.8. Qualcomm Technologies, Inc.
    • 9.8.8.1. Participant's Overview
    • 9.8.8.2. Financial Performance
    • 9.8.8.3. Product Benchmarking
    • 9.8.8.4. Recent Developments
  • 9.8.9. Untether AI
    • 9.8.9.1. Participant's Overview
    • 9.8.9.2. Financial Performance
    • 9.8.9.3. Product Benchmarking
    • 9.8.9.4. Recent Developments
  • 9.8.10. Advanced Micro Devices, Inc.
    • 9.8.10.1. Participant's Overview
    • 9.8.10.2. Financial Performance
    • 9.8.10.3. Product Benchmarking
    • 9.8.10.4. Recent Developments