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시장보고서
상품코드
1941894
온 디바이스 AI 시장 규모, 점유율과 동향 분석 보고서 : 컴포넌트별, 배포별, 기술별, 디바이스별, 업계별, 지역별, 부문 예측(2026-2033년)On-Device AI Market Size, Share & Trends Analysis Report By Component (Hardware, Software), By Deployment (Cloud, On-premises), By Technology, By Device, By Vertical, By Region, And Segment Forecasts, 2026 - 2033 |
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온 디바이스 AI 시장 요약
세계의 온 디바이스 AI 시장 규모는 2025년에 107억 6,450만 달러로 추정되며, 2033년까지 755억 590만 달러에 달할 것으로 예측됩니다.
2026-2033년 연평균 복합 성장률(CAGR) 27.8%를 나타낼 것으로 예측됩니다. 이 시장은 주로 실시간 데이터 처리에 대한 수요 증가에 의해 주도되고 있습니다. 스마트폰, 웨어러블 기기, 자동차, IoT 시스템 등의 분야에서는 클라우드의 지연에 의존하지 않고 즉각적인 의사결정이 요구되기 때문입니다.
프라이버시 및 보안에 대한 기대치가 높아짐에 따라 조직은 사용자 데이터를 로컬에 보관하도록 요구하고 있으며, 이는 민감한 이용 사례에 대한 도입을 촉진하고 있습니다. 이 시장은 인공지능(AI) 도입에 있으며, 중요한 진화를 보여주고 있으며, 계산 작업을 중앙 집중식 클라우드 서버에서 스마트폰, 웨어러블, IoT 시스템 등 로컬 디바이스로 전환하고 있습니다. 이 접근 방식은 데이터 처리 속도 향상, 지연 시간 감소, 사용자 프라이버시 강화를 실현합니다. 왜냐하면 정보는 생성된 곳에서 직접 분석되기 때문입니다. 커넥티드 디바이스의 보급이 확대되고 지능적이고 자율적인 기능에 대한 수요가 증가함에 따라 온디바이스 AI 솔루션에 대한 관심이 가속화되고 있습니다. 조직이 원활하고 안전한 AI 경험을 제공하기 위해 노력함에 따라 이 시장은 가전, 의료, 자동차, 산업 자동화 등 다양한 분야에서 계속 확대되고 있습니다.
이러한 진화를 주도하는 주요 동향은 첨단 하드웨어와 효율적인 소프트웨어 최적화의 융합입니다. 전용 AI 칩, NPU(Neural Processing Unit), 경량화 모델의 발전으로 엄격한 전력 및 메모리 제약 하에서 동작하는 디바이스내 복잡한 AI 알고리즘을 배치할 수 있게 되었습니다. 동시에 추론 속도와 데이터 프라이버시를 향상시키기 위해 모델 압축, 양자화, 페더럴 러닝 등의 기술을 채택하고 있습니다. 이러한 혁신은 성능 기준을 재정의하고, 원격 서버에 의존하지 않고도 이미지 인식에서 자연 언어 처리까지 다양한 고급 작업을 수행할 수 있게 해줍니다.
자주 묻는 질문
목차
제1장 조사 방법과 범위
제2장 개요
제3장 온 디바이스 AI 시장 변수, 동향 및 범위
제4장 온 디바이스 AI 시장 : 컴포넌트별 추정·동향 분석
제5장 온 디바이스 AI 시장 : 배포별 동향 추정·동향 분석
제6장 온 디바이스 AI 시장 : 기술별 추정·동향 분석
제7장 온 디바이스 AI 시장 : 디바이스별 추정·동향 분석
제8장 온 디바이스 AI 시장 : 업계별 추정·동향 분석
제9장 온 디바이스 AI 시장 : 지역별 추정·동향 분석
제10장 경쟁 구도
KSA 26.03.20On-Device AI Market Summary
The global on-device AI market size was estimated at USD 10,764.5 million in 2025 and is projected to reach USD 75,505.9 million by 2033, growing at a CAGR of 27.8% from 2026 to 2033. The market is primarily driven by rising demand for real-time data processing, as verticals in smartphones, wearables, vehicles, and IoT systems depend on instant decision-making without relying on cloud latency.
Growing privacy and security expectations are pushing organizations to keep user data local, strengthening adoption across sensitive use cases. The market represents a significant evolution in artificial intelligence deployment, shifting computational tasks from centralized cloud servers to local devices such as smartphones, wearables, and IoT systems. This approach enables faster data processing, reduced latency, and enhanced user privacy, as information is analyzed directly where it is generated. The growing adoption of connected devices and the demand for intelligent, autonomous functionality have accelerated interest in on-device AI solutions. As organizations seek to deliver seamless and secure AI experiences, the market continues to expand across various sectors, including consumer electronics, healthcare, automotive, and industrial automation.
A major trend driving this evolution is the convergence of advanced hardware and efficient software optimization. The development of specialized AI chips, neural processing units, and lightweight models has made it possible to deploy complex AI algorithms within devices that operate under strict power and memory constraints. Simultaneously, techniques such as model compression, quantization, and federated learning are being adopted to improve inference speed and data privacy. These innovations are redefining performance benchmarks, allowing devices to perform refined tasks from image recognition to natural language processing without relying on remote servers.
Global On-Device AI Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global on-device AI market report based on component, deployment, technology, device, vertical, and region.
- Component Outlook (Revenue, USD Million, 2021 - 2033)
- Hardware
- Software
- Deployment Outlook (Revenue, USD Million, 2021 - 2033)
- Cloud
- On-premises
- Technology Outlook (Revenue, USD Million, 2021 - 2033)
- Machine Learning
- Natural Language Processing
- Computer Vision
- Speech Recognition
- Device Outlook (Revenue, USD Million, 2021 - 2033)
- Smartphones & Tablets
- Wearables
- Smart Home Devices
- Automotive
- Others
- Vertical Outlook (Revenue, USD Million, 2021 - 2033)
- Consumer Electronics
- Automotive
- Healthcare
- Retail
- Manufacturing
- Security & Surveillance
- Others
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- U.S.
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Latin America
- Brazil
- Middle East and Africa (MEA)
- KSA
- UAE
- South Africa
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
- 3.3.1. Industry Analysis - Porter's
- 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, 2025 & 2033 (USD Million)
- 4.3. Hardware
- 4.3.1. Hardware Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 4.4. Software
- 4.4.1. Software Market Revenue Estimates and Forecasts, 2021 - 2033 (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, 2025 & 2033 (USD Million)
- 5.3. Cloud
- 5.3.1. Cloud On-Device AI market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 5.4. On-premise
- 5.4.1. On-premise On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (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, 2025 & 2033 (USD Million)
- 6.3. Machine Learning
- 6.3.1. Machine Learning On-Device AI market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.4. Natural Language Processing
- 6.4.1. Natural Language Processing On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.5. Computer Vision
- 6.5.1. Computer Vision On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.6. Speech Recognition
- 6.6.1. Speed Recognition On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
Chapter 7. On-Device AI market: Device Estimates & Trend Analysis
- 7.1. Segment Dashboard
- 7.2. On-Device AI market: Deployment Movement Analysis, 2025 & 2033 (USD Million)
- 7.3. Smartphones & Tablets
- 7.3.1. Smartphones & Tablets On-Device AI market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4. Wearables
- 7.4.1. Wearables On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.5. Smart Home Devices
- 7.5.1. Smart Home Devices On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.6. Automotive
- 7.6.1. Automotive On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.7. Others
- 7.7.1. Others On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (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, 2025 & 2033 (USD Million)
- 8.3. Healthcare
- 8.3.1. Healthcare On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 8.4. Consumer Electronics
- 8.4.1. Consumer Electronics On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 8.5. Retail
- 8.5.1. Retail On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 8.6. Automotive
- 8.6.1. Automotive On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 8.7. Manufacturing
- 8.7.1. Manufacturing On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 8.8. Security & Surveillance
- 8.8.1. Security & Surveillance On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
- 8.9. Others
- 8.9.1. Others On-Device AI market: Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
Chapter 9. On-Device AI market: Regional Estimates & Trend Analysis
- 9.1. On-Device AI market Share, By Region, 2025 & 2033, USD Million
- 9.2. North America
- 9.2.1. North America On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.2.2. U.S.
- 9.2.2.1. U.S. On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.2.3. Canada
- 9.2.3.1. Canada On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.2.4. Mexico
- 9.2.4.1. Mexico On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.3. Europe
- 9.3.1. Europe On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.3.2. UK
- 9.3.2.1. UK On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.3.3. Germany
- 9.3.3.1. Germany On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.3.4. France
- 9.3.4.1. France On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.4. Asia Pacific
- 9.4.1. Asia Pacific On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.4.2. China
- 9.4.2.1. China On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.4.3. Japan
- 9.4.3.1. Japan On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.4.4. India
- 9.4.4.1. India On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.4.5. South Korea
- 9.4.5.1. South Korea On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.4.6. Australia
- 9.4.6.1. Australia On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.5. Latin America
- 9.5.1. Latin America On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.5.2. Brazil
- 9.5.2.1. Brazil On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.6. Middle East and Africa
- 9.6.1. Middle East and Africa On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.6.2. South Africa
- 9.6.2.1. South Africa On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.6.3. UAE
- 9.6.3.1. UAE On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
- 9.6.4. KSA
- 9.6.4.1. KSA On-Device AI market Estimates and Forecasts, 2021 - 2033 (USD MILLION)
Chapter 10. Competitive Landscape
- 10.1. Company Categorization
- 10.2. Company Market Positioning
- 10.3. Participant's Overview
- 10.4. Financial Performance
- 10.5. Product Benchmarking
- 10.6. Company Heat Map Analysis
- 10.7. Strategy Mapping
- 10.8. Company Profiles/Listing
- 10.8.1. Apple Inc.
- 10.8.1.1. Participant's Overview
- 10.8.1.2. Financial Performance
- 10.8.1.3. Product Benchmarking
- 10.8.1.4. Recent Developments
- 10.8.2. Baidu, Inc.
- 10.8.2.1. Participant's Overview
- 10.8.2.2. Financial Performance
- 10.8.2.3. Product Benchmarking
- 10.8.2.4. Recent Developments
- 10.8.3. Amazon.com Inc.
- 10.8.3.1. Participant's Overview
- 10.8.3.2. Financial Performance
- 10.8.3.3. Product Benchmarking
- 10.8.3.4. Recent Developments
- 10.8.4. Google LLC
- 10.8.4.1. Participant's Overview
- 10.8.4.2. Financial Performance
- 10.8.4.3. Product Benchmarking
- 10.8.4.4. Recent Developments
- 10.8.5. Microsoft
- 10.8.5.1. Participant's Overview
- 10.8.5.2. Financial Performance
- 10.8.5.3. Product Benchmarking
- 10.8.5.4. Recent Developments
- 10.8.6. Intel Corporation
- 10.8.6.1. Participant's Overview
- 10.8.6.2. Financial Performance
- 10.8.6.3. Product Benchmarking
- 10.8.6.4. Recent Developments
- 10.8.7. NVIDIA Corporation
- 10.8.7.1. Participant's Overview
- 10.8.7.2. Financial Performance
- 10.8.7.3. Product Benchmarking
- 10.8.7.4. Recent Developments
- 10.8.8. Qualcomm Technologies, Inc.
- 10.8.8.1. Participant's Overview
- 10.8.8.2. Financial Performance
- 10.8.8.3. Product Benchmarking
- 10.8.8.4. Recent Developments
- 10.8.9. Huawei Technologies Co., Ltd.
- 10.8.9.1. Participant's Overview
- 10.8.9.2. Financial Performance
- 10.8.9.3. Product Benchmarking
- 10.8.9.4. Recent Developments
- 10.8.10. Arm Limited
- 10.8.10.1. Participant's Overview
- 10.8.10.2. Financial Performance
- 10.8.10.3. Product Benchmarking
- 10.8.10.4. Recent Developments
- 10.8.1. Apple Inc.
