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시장보고서
상품코드
1861304
세계의 엣지 디바이스용 인공지능 시장 : 시장 점유율과 순위, 전체 판매 및 수요 예측(2025-2031년)Artificial Intelligence for Edge Devices - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031 |
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QYResearch
세계의 엣지 디바이스용 인공지능 시장 규모는 2024년에 50억 800만 달러로 추정되며, 2025년부터 2031년까지 예측 기간 동안 CAGR 22.4%로 확대되어 2031년까지 209억 700만 달러에 달할 것으로 예측됩니다.
현재 인공지능(AI) 처리의 대부분은 클라우드 기반 데이터센터에서 이루어지고 있습니다. AI 처리의 대부분은 방대한 연산 능력을 필요로 하는 딥러닝 모델 훈련이 차지하고 있습니다. 엣지 디바이스용 인공지능은 AI 소프트웨어 알고리즘이 하드웨어 장치에서 로컬로 처리되는 것을 의미합니다. 이러한 알고리즘은 디바이스에서 생성되는 데이터(센서 데이터 및 신호)를 활용합니다. 엣지 AI 소프트웨어가 탑재된 디바이스는 정상 작동을 위해 연결이 필요하지 않습니다. 연결 없이도 데이터를 처리하고 독립적으로 의사결정을 내릴 수 있습니다. 본 보고서에서 말하는 엣지 디바이스용 인공지능에는 소프트웨어 툴, 플랫폼, 인공지능 칩이 포함됩니다.
자율주행부터 로봇공학, 산업 자동화까지, 많은 신흥 애플리케이션은 클라우드 기반 시스템이 지연 문제로 인해 항상 제공할 수 없는 즉각적인 인사이트를 필요로 합니다. 엣지에서의 AI는 데이터를 로컬에서 처리함으로써 지연을 없애고, 안전이 매우 중요하고 시간적 제약이 있는 작업에 필수적인 실시간 의사결정을 가능하게 합니다.
IoT 생태계의 폭발적인 성장으로 엄청난 양의 데이터가 생성되고 있습니다. 이 모든 데이터를 클라우드 서버로 전송하는 것은 비용이 많이 들고 비효율적입니다. 엣지 AI를 통해 디바이스가 로컬에서 데이터를 분석할 수 있기 때문에 대역폭 요구사항이 줄어들어 스마트홈, 공장, 의료, 농업 분야에서 빠르고 확장 가능하며 비용 효율적인 IoT 배포가 가능해집니다.
5G 기술의 도입으로 엣지 디바이스는 더 높은 대역폭과 초저지연 통신을 실현하고 있습니다. 이러한 시너지 효과로 AI를 탑재한 엣지 디바이스는 증강현실/가상현실(AR/VR), 스마트 시티, 커넥티드 헬스케어, 지능형 교통 시스템 등 첨단 애플리케이션을 지원하여 도입을 더욱 가속화할 수 있습니다.
GDPR, HIPAA, CCPA 등의 엄격한 규제로 인해 조직은 데이터 보안을 확보해야 합니다. 엣지 AI는 기밀 정보(의료 데이터, 금융 거래, 개인 식별자 등)를 중앙 집중식 서버로 전송하지 않고 로컬 디바이스에 보관함으로써 프라이버시 컴플라이언스를 강화합니다. 이는 특히 의료, 금융, 정부 애플리케이션에서 높은 가치를 지닙니다.
AI 전용 칩(GPU, TPU, NPU 등) 및 최적화된 마이크로컨트롤러의 개발로 복잡한 AI 모델을 엣지 디바이스에서 직접 실행할 수 있게 되었습니다. 저전력 AI 가속기와 뉴로모픽 컴퓨팅의 혁신은 성능을 향상시키면서 에너지 소비를 줄이고 AI 기능을 활용할 수 있는 디바이스의 범위를 확장하고 있습니다.
이 보고서는 세계 엣지 디바이스용 인공지능(AI) 시장에 대해 총 매출액, 주요 기업의 시장 점유율 및 순위를 중심으로 지역별, 국가별, 유형별, 응용 분야별 분석을 종합적으로 제시하는 것을 목적으로 합니다.
엣지 디바이스용 인공지능 시장의 규모, 추정 및 예측은 2024년을 기준 연도로 하여 2020년에서 2031년까지의 기간의 과거 데이터와 예측 데이터를 포함하는 매출액으로 제시되었습니다. 정량적 분석과 정성적 분석을 통해 독자들이 비즈니스/성장 전략을 수립하고, 시장 경쟁 상황을 평가하고, 현재 시장에서의 포지셔닝을 분석하고, 엣지 디바이스용 인공지능에 대한 정보에 입각한 비즈니스 의사결정을 내릴 수 있도록 돕습니다.
시장 세분화
기업별
- Microsoft
- Qualcomm
- Intel
- Alibaba
- NVIDIA
- Arm
- Horizon Robotics
- Baidu
- Synopsys
- Cambricon
- MediaTek
- Mythic
- NXP
유형별 부문
- 하드웨어
- 소프트웨어
용도별 부문
- 자동차
- 소비자용 및 산업용 로봇
- 드론
- 헤드 마운트 디스플레이
- 스마트 스피커
- 보안 카메라
지역별
- 북미
- 미국
- 캐나다
- 아시아태평양
- 중국
- 일본
- 한국
- 동남아시아
- 인도
- 호주
- 기타 아시아태평양
- 유럽
- 독일
- 프랑스
- 영국
- 이탈리아
- 네덜란드
- 북유럽 국가
- 기타 유럽
- 라틴아메리카
- 멕시코
- 브라질
- 기타 라틴아메리카
- 중동 및 아프리카
- 튀르키예
- 사우디아라비아
- 아랍에미리트
- 기타 중동 및 아프리카
자주 묻는 질문
The global market for Artificial Intelligence for Edge Devices was estimated to be worth US$ 5008 million in 2024 and is forecast to a readjusted size of US$ 20907 million by 2031 with a CAGR of 22.4% during the forecast period 2025-2031.
Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. Artificial intelligence for edge devices means that AI software algorithms are processed locally on a hardware device. The algorithms are using data (sensor data or signals) that are created on the device. A device using Edge AI software does not need to be connected in order to work properly, it can process data and take decisions independently without a connection. In this report, artificial intelligence for edge devices contains software tools, platforms, artificial intelligence chip.
Many emerging applications-from autonomous driving to robotics and industrial automation-require instantaneous insights that cloud-based systems cannot always provide due to latency issues. AI at the edge eliminates delays by processing data locally, enabling real-time decision-making essential for safety-critical and time-sensitive operations.
The explosive growth of IoT ecosystems is generating massive data volumes. Transmitting all of this data to cloud servers is expensive and inefficient. Edge AI allows devices to analyze data locally, reducing bandwidth requirements and ensuring faster, scalable, and cost-effective IoT deployments across smart homes, factories, healthcare, and agriculture.
The rollout of 5G technology is enabling edge devices to achieve higher bandwidth and ultra-low latency communication. This synergy allows AI-enabled edge devices to support advanced applications like augmented/virtual reality (AR/VR), smart cities, connected healthcare, and intelligent transportation systems, further accelerating adoption.
With stricter regulations such as GDPR, HIPAA, and CCPA, organizations are under pressure to ensure data security. Edge AI enhances privacy compliance by keeping sensitive information (e.g., medical data, financial transactions, personal identifiers) on local devices instead of transmitting it to centralized servers. This makes it particularly valuable in healthcare, finance, and government applications.
The development of AI-specific chips (such as GPUs, TPUs, and NPUs) and optimized microcontrollers is making it feasible to run complex AI models directly on edge devices. Innovations in low-power AI accelerators and neuromorphic computing are enhancing performance while reducing energy consumption, broadening the range of devices that can leverage AI capabilities.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Edge Devices, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence for Edge Devices by region & country, by Type, and by Application.
The Artificial Intelligence for Edge Devices market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence for Edge Devices.
Market Segmentation
By Company
- Microsoft
- Qualcomm
- Intel
- Alibaba
- NVIDIA
- Arm
- Horizon Robotics
- Baidu
- Synopsys
- Cambricon
- MediaTek
- Mythic
- NXP
Segment by Type
- Hardware
- Software
Segment by Application
- Automotive
- Consumer and Enterprise Robotics
- Drones
- Head-Mounted Displays
- Smart Speakers
- Security Cameras
By Region
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
- Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
- Latin America
- Mexico
- Brazil
- Rest of Latin America
- Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence for Edge Devices company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Artificial Intelligence for Edge Devices in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence for Edge Devices in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Table of Contents
1 Market Overview
- 1.1 Artificial Intelligence for Edge Devices Product Introduction
- 1.2 Global Artificial Intelligence for Edge Devices Market Size Forecast (2020-2031)
- 1.3 Artificial Intelligence for Edge Devices Market Trends & Drivers
- 1.3.1 Artificial Intelligence for Edge Devices Industry Trends
- 1.3.2 Artificial Intelligence for Edge Devices Market Drivers & Opportunity
- 1.3.3 Artificial Intelligence for Edge Devices Market Challenges
- 1.3.4 Artificial Intelligence for Edge Devices Market Restraints
- 1.4 Assumptions and Limitations
- 1.5 Study Objectives
- 1.6 Years Considered
2 Competitive Analysis by Company
- 2.1 Global Artificial Intelligence for Edge Devices Players Revenue Ranking (2024)
- 2.2 Global Artificial Intelligence for Edge Devices Revenue by Company (2020-2025)
- 2.3 Key Companies Artificial Intelligence for Edge Devices Manufacturing Base Distribution and Headquarters
- 2.4 Key Companies Artificial Intelligence for Edge Devices Product Offered
- 2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence for Edge Devices
- 2.6 Artificial Intelligence for Edge Devices Market Competitive Analysis
- 2.6.1 Artificial Intelligence for Edge Devices Market Concentration Rate (2020-2025)
- 2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence for Edge Devices Revenue in 2024
- 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence for Edge Devices as of 2024)
- 2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
- 3.1 Introduction by Type
- 3.1.1 Hardware
- 3.1.2 Software
- 3.2 Global Artificial Intelligence for Edge Devices Sales Value by Type
- 3.2.1 Global Artificial Intelligence for Edge Devices Sales Value by Type (2020 VS 2024 VS 2031)
- 3.2.2 Global Artificial Intelligence for Edge Devices Sales Value, by Type (2020-2031)
- 3.2.3 Global Artificial Intelligence for Edge Devices Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
- 4.1 Introduction by Application
- 4.1.1 Automotive
- 4.1.2 Consumer and Enterprise Robotics
- 4.1.3 Drones
- 4.1.4 Head-Mounted Displays
- 4.1.5 Smart Speakers
- 4.1.6 Security Cameras
- 4.2 Global Artificial Intelligence for Edge Devices Sales Value by Application
- 4.2.1 Global Artificial Intelligence for Edge Devices Sales Value by Application (2020 VS 2024 VS 2031)
- 4.2.2 Global Artificial Intelligence for Edge Devices Sales Value, by Application (2020-2031)
- 4.2.3 Global Artificial Intelligence for Edge Devices Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
- 5.1 Global Artificial Intelligence for Edge Devices Sales Value by Region
- 5.1.1 Global Artificial Intelligence for Edge Devices Sales Value by Region: 2020 VS 2024 VS 2031
- 5.1.2 Global Artificial Intelligence for Edge Devices Sales Value by Region (2020-2025)
- 5.1.3 Global Artificial Intelligence for Edge Devices Sales Value by Region (2026-2031)
- 5.1.4 Global Artificial Intelligence for Edge Devices Sales Value by Region (%), (2020-2031)
- 5.2 North America
- 5.2.1 North America Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 5.2.2 North America Artificial Intelligence for Edge Devices Sales Value by Country (%), 2024 VS 2031
- 5.3 Europe
- 5.3.1 Europe Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 5.3.2 Europe Artificial Intelligence for Edge Devices Sales Value by Country (%), 2024 VS 2031
- 5.4 Asia Pacific
- 5.4.1 Asia Pacific Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 5.4.2 Asia Pacific Artificial Intelligence for Edge Devices Sales Value by Region (%), 2024 VS 2031
- 5.5 South America
- 5.5.1 South America Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 5.5.2 South America Artificial Intelligence for Edge Devices Sales Value by Country (%), 2024 VS 2031
- 5.6 Middle East & Africa
- 5.6.1 Middle East & Africa Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 5.6.2 Middle East & Africa Artificial Intelligence for Edge Devices Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
- 6.1 Key Countries/Regions Artificial Intelligence for Edge Devices Sales Value Growth Trends, 2020 VS 2024 VS 2031
- 6.2 Key Countries/Regions Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 6.3 United States
- 6.3.1 United States Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 6.3.2 United States Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
- 6.3.3 United States Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
- 6.4 Europe
- 6.4.1 Europe Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 6.4.2 Europe Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
- 6.4.3 Europe Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
- 6.5 China
- 6.5.1 China Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 6.5.2 China Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
- 6.5.3 China Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
- 6.6 Japan
- 6.6.1 Japan Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 6.6.2 Japan Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
- 6.6.3 Japan Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
- 6.7 South Korea
- 6.7.1 South Korea Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 6.7.2 South Korea Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
- 6.7.3 South Korea Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
- 6.8 Southeast Asia
- 6.8.1 Southeast Asia Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 6.8.2 Southeast Asia Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
- 6.8.3 Southeast Asia Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
- 6.9 India
- 6.9.1 India Artificial Intelligence for Edge Devices Sales Value, 2020-2031
- 6.9.2 India Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
- 6.9.3 India Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
7 Company Profiles
- 7.1 Microsoft
- 7.1.1 Microsoft Profile
- 7.1.2 Microsoft Main Business
- 7.1.3 Microsoft Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.1.4 Microsoft Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.1.5 Microsoft Recent Developments
- 7.2 Qualcomm
- 7.2.1 Qualcomm Profile
- 7.2.2 Qualcomm Main Business
- 7.2.3 Qualcomm Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.2.4 Qualcomm Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.2.5 Qualcomm Recent Developments
- 7.3 Intel
- 7.3.1 Intel Profile
- 7.3.2 Intel Main Business
- 7.3.3 Intel Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.3.4 Intel Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.3.5 Intel Recent Developments
- 7.4 Google
- 7.4.1 Google Profile
- 7.4.2 Google Main Business
- 7.4.3 Google Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.4.4 Google Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.4.5 Google Recent Developments
- 7.5 Alibaba
- 7.5.1 Alibaba Profile
- 7.5.2 Alibaba Main Business
- 7.5.3 Alibaba Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.5.4 Alibaba Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.5.5 Alibaba Recent Developments
- 7.6 NVIDIA
- 7.6.1 NVIDIA Profile
- 7.6.2 NVIDIA Main Business
- 7.6.3 NVIDIA Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.6.4 NVIDIA Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.6.5 NVIDIA Recent Developments
- 7.7 Arm
- 7.7.1 Arm Profile
- 7.7.2 Arm Main Business
- 7.7.3 Arm Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.7.4 Arm Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.7.5 Arm Recent Developments
- 7.8 Horizon Robotics
- 7.8.1 Horizon Robotics Profile
- 7.8.2 Horizon Robotics Main Business
- 7.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.8.4 Horizon Robotics Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.8.5 Horizon Robotics Recent Developments
- 7.9 Baidu
- 7.9.1 Baidu Profile
- 7.9.2 Baidu Main Business
- 7.9.3 Baidu Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.9.4 Baidu Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.9.5 Baidu Recent Developments
- 7.10 Synopsys
- 7.10.1 Synopsys Profile
- 7.10.2 Synopsys Main Business
- 7.10.3 Synopsys Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.10.4 Synopsys Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.10.5 Synopsys Recent Developments
- 7.11 Cambricon
- 7.11.1 Cambricon Profile
- 7.11.2 Cambricon Main Business
- 7.11.3 Cambricon Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.11.4 Cambricon Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.11.5 Cambricon Recent Developments
- 7.12 MediaTek
- 7.12.1 MediaTek Profile
- 7.12.2 MediaTek Main Business
- 7.12.3 MediaTek Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.12.4 MediaTek Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.12.5 MediaTek Recent Developments
- 7.13 Mythic
- 7.13.1 Mythic Profile
- 7.13.2 Mythic Main Business
- 7.13.3 Mythic Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.13.4 Mythic Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.13.5 Mythic Recent Developments
- 7.14 NXP
- 7.14.1 NXP Profile
- 7.14.2 NXP Main Business
- 7.14.3 NXP Artificial Intelligence for Edge Devices Products, Services and Solutions
- 7.14.4 NXP Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
- 7.14.5 NXP Recent Developments
8 Industry Chain Analysis
- 8.1 Artificial Intelligence for Edge Devices Industrial Chain
- 8.2 Artificial Intelligence for Edge Devices Upstream Analysis
- 8.2.1 Key Raw Materials
- 8.2.2 Raw Materials Key Suppliers
- 8.2.3 Manufacturing Cost Structure
- 8.3 Midstream Analysis
- 8.4 Downstream Analysis (Customers Analysis)
- 8.5 Sales Model and Sales Channels
- 8.5.1 Artificial Intelligence for Edge Devices Sales Model
- 8.5.2 Sales Channel
- 8.5.3 Artificial Intelligence for Edge Devices Distributors
9 Research Findings and Conclusion
10 Appendix
- 10.1 Research Methodology
- 10.1.1 Methodology/Research Approach
- 10.1.1.1 Research Programs/Design
- 10.1.1.2 Market Size Estimation
- 10.1.1.3 Market Breakdown and Data Triangulation
- 10.1.2 Data Source
- 10.1.2.1 Secondary Sources
- 10.1.2.2 Primary Sources
- 10.1.1 Methodology/Research Approach
- 10.2 Author Details
- 10.3 Disclaimer
