세계의 엣지 AI 하드웨어 시장 : 디바이스별, 소비 전력별, 프로세서별, 기능별, 업계별, 지역별 - 예측(-2030년)
Edge AI Hardware Market by Device, Processor (CPU, GPU, and ASIC), Function, Power Consumption (Less than 1 W, 1-3 W, >3-5 W, >5-10 W, and More than 10 W), Vertical and Region - Global Forecast to 2030
상품코드:1764343
리서치사:MarketsandMarkets
발행일:2025년 07월
페이지 정보:영문 304 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
엣지 AI 하드웨어 시장 규모는 17.6%의 CAGR로 확대되어 2025년 261억 4,000만 달러에서 2030년에는 589억 달러에 달할 것으로 예측됩니다.
조사 범위
조사 대상 연도
2021-2030년
기준 연도
2024년
예측 기간
2025-2030년
검토 단위
금액(10억 달러)
부문별
디바이스별, 소비 전력별, 프로세서별, 기능별, 업계별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 기타 지역
엣지 AI 하드웨어 시장은 실시간 데이터 처리, 대기 시간 단축, 프라이버시 강화, 대역폭 효율성 향상에 대한 수요로 인해 성장하고 있습니다. 반도체 기술, IoT, 자율주행차, 스마트 디바이스의 발전도 이러한 성장을 견인하고 있습니다. 그러나 복잡한 AI 모델을 실행하기 위해 엣지 디바이스에서 사용할 수 있는 처리 능력, 메모리, 에너지의 부족으로 인해 채택에 한계가 있습니다. 따라서 정확도에 악영향을 미칠 수 있는 철저한 최적화가 필요합니다. 또한, 엣지 AI 하드웨어의 채택에는 보안 취약성, 도입 비용, 확장성, 분산형 엣지 시스템의 유지보수 등 주변에도 한계가 있습니다.
엣지 AI의 학습 기능은 AI 모델을 분산된 엣지 디바이스에서 직접 학습할 수 있는 연계 학습이 정착됨에 따라 추론 기능보다 높은 CAGR을 기록할 것으로 보입니다. 동시에 데이터 프라이버시 및 규제에도 대응할 수 있습니다. 다양한 종류의 방대한 데이터세트를 엣지에서 생성하는 산업계에서는 실시간 학습과 로컬 상황에 대한 적응을 위해 상시 실행되는 디바이스 기반 모델 업데이트의 필요성이 증가하고 있습니다. 또한, 컴퓨팅의 발전 가능성은 재난 대응, 헬스케어, 금융, 자율 시스템 등의 대표적인 예에서 필요한 분산형 훈련 전략의 배포를 그 어느 때보다 쉽게 만들어주고 있습니다.
스마트폰은 방대한 세계 사용자 기반과 AI 지원 기능의 보급으로 인해 엣지 AI 하드웨어 시장을 독점하고 있습니다. 이러한 디바이스는 간편하고 어디에나 존재하며 실시간 언어 번역, 얼굴 인식, 고급 사진 촬영 등의 기능을 제공하고 있습니다. 모바일 5G 기술은 스마트폰의 보급을 더욱 가속화하여 클라우드 연결에 의존하지 않는 원활한 사용자 경험을 제공하면서 더욱 정교하고 강력한 AI 애플리케이션을 실행할 수 있게 했습니다. 그 결과, 기기 제조업체들은 스마트폰의 고급 프로세싱 유닛 개발에 우선순위를 두고 있으며, 스마트폰은 세계에서 가장 인기 있는 엣지 AI 기기로 자리매김하고 있습니다.
아시아태평양은 예측 기간 동안 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 시장 성장은 중국 정부의 지원과 차세대 인공지능 개발 계획 및 메이드 인 차이나 2025와 같은 다양한 개발 계획에 의해 촉진될 것입니다. 화웨이와 바이두와 같은 신뢰할 수 있는 기업들도 연구와 혁신에 투자하고 있습니다. 중국의 방대한 사용자 기반은 가전제품 소비와 혁신의 놀라운 발전과 함께 이러한 성장에 기여하고 있습니다. 또한, 중국 인구가 생성하는 방대한 양의 데이터는 엣지 AI 모델을 훈련하고 배포하기에 최적의 환경을 조성하고 있습니다. 스마트 제조, 스마트 시티, 자율주행차 등 다양한 산업에 AI를 통합하려는 중국의 전략적 접근 방식은 이 지역의 엣지 AI 시장 확대를 더욱 뒷받침하고 가속화할 것으로 보입니다.
세계의 엣지 AI 하드웨어 시장에 대해 조사했으며, 디바이스별, 전력 소비량별, 프로세서별, 기능별, 산업별, 지역별 동향, 시장 진입 기업 프로파일 등의 정보를 정리하여 전해드립니다.
목차
제1장 소개
제2장 조사 방법
제3장 주요 요약
제4장 주요 인사이트
제5장 시장 개요
소개
시장 역학
공급망 분석
고객 비즈니스에 영향을 미치는 동향/혼란
생태계 분석
Porter's Five Forces 분석
주요 이해관계자와 구입 기준
사례 연구 분석
투자와 자금 조달 시나리오
기술 분석
무역 분석
특허 분석
규제 상황
2025-2026년의 주요 회의와 이벤트
가격 분석
AI가 시장에 미치는 영향
2025년 미국 관세가 시장에 미치는 영향
제6장 엣지 AI 하드웨어 시장(디바이스별)
소개
스마트폰
감시 카메라
로봇
웨어러블
엣지 서버
스마트 스피커
자동차 시스템
기타
제7장 엣지 AI 하드웨어 시장(소비 전력별)
소개
1W 미만
1-3W
3-5W
5-10W
10W 이상
제8장 엣지 AI 하드웨어 시장(프로세서별)
소개
CPU
그래픽 프로세서
ASIC
기타
제9장 엣지 AI 하드웨어 시장(기능별)
소개
트레이닝
추론
제10장 엣지 AI 하드웨어 시장(업계별)
소개
가전
스마트홈
자동차·운송
정부
헬스케어
산업
항공우주 및 방위
건설
기타
제11장 엣지 AI 하드웨어 시장(지역별)
소개
북미
북미의 거시경제 전망
미국
캐나다
멕시코
유럽
유럽의 거시경제 전망
독일
영국
프랑스
스페인
이탈리아
폴란드
북유럽
기타
아시아태평양
아시아태평양의 거시경제 전망
중국
일본
한국
인도
호주
인도네시아
말레이시아
태국
베트남
기타
기타 지역
기타 지역의 거시경제 전망
남미
중동
아프리카
제12장 경쟁 구도
개요
주요 진출 기업의 전략/강점, 2020년 1월-2025년 5월
매출 분석, 2020-2024년
시장 점유율 분석, 2024년
기업 평가와 재무 지표
브랜드/제품 비교
기업 평가 매트릭스 : 주요 진출 기업, 2024년
기업 평가 매트릭스 : 스타트업/중소기업, 2024년
경쟁 시나리오
제13장 기업 개요
주요 진출 기업
QUALCOMM TECHNOLOGIES, INC.
HUAWEI TECHNOLOGIES CO., LTD.
SAMSUNG
APPLE INC.
MEDIATEK INC.
INTEL CORPORATION
NVIDIA CORPORATION
IBM
MICRON TECHNOLOGY, INC.
ADVANCED MICRO DEVICES, INC.
META
TESLA
GOOGLE
MICROSOFT
기타 기업
AXELERA AI
IMAGINATION TECHNOLOGIES
CAMBRICON
TENSTORRENT
BLAIZE
GENERAL VISION INC.
MYTHIC
ZERO ASIC CORPORATION
APPLIED BRAIN RESEARCH(ABR)
HORIZON ROBOTICS
CEVA, INC.
GRAPHCORE
SAMBANOVA SYSTEMS, INC.
HAILO
제14장 부록
ksm
영문 목차
영문목차
The edge AI hardware market is projected to reach USD 58.90 billion by 2030, up from USD 26.14 billion in 2025, at a CAGR of 17.6%.
Scope of the Report
Years Considered for the Study
2021-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
Value (USD Billion)
Segments
By device, power consumption, processor, function, vertical, and region
Regions covered
North America, Europe, APAC, RoW
The edge AI hardware market is growing due to the demand for real-time data processing, reduced latency, enhanced privacy, and better bandwidth efficiency. Advancements in semiconductor technology, IoT, autonomous vehicles, and smart devices also drive this growth. However, the adoption has limitations, including the lack of processing power, memory, and energy available on edge devices to run complex AI models. This requires intense optimization that may negatively impact accuracy. Other limitations to adopting edge AI hardware in the vicinity included security vulnerabilities, deployment costs, scaling, and maintenance in distributed edge systems.
"Training function to record higher CAGR during forecast period"
The training functionality in edge AI will register a higher CAGR than the inference function as federated learning continues to take hold, wherein AI models can be trained on distributed edge devices directly. At the same time, data privacy and regulations can be complied with. With industries producing massive datasets of various types at the edge, there is a growing need for always-on, device-based model updates to accommodate real-time learning and adaptation to local conditions. Furthermore, the potential of computing advances makes deploying necessary, decentralized training strategies ever easier, with disaster response, healthcare, finance, and autonomous systems prime examples.
"Smartphone devices to capture largest market share during forecast period"
Smartphones dominate the market for edge AI hardware due to their vast global user base and the widespread availability of AI-enabled features. These devices have become handy and ubiquitous, offering capabilities such as real-time language translation, facial recognition, and advanced photography-all of which require on-device processing to minimize latency and enhance user privacy. Mobile 5G technology has further accelerated smartphone adoption, enabling devices to run more sophisticated and powerful AI applications while providing a seamless user experience without relying on cloud connectivity. Consequently, device manufacturers prioritize the development of advanced processing units in smartphones, solidifying their status as the most popular edge AI devices in the world.
"China to account for largest market share in Asia Pacific during forecast period"
Asia Pacific is expected to account for the largest market share throughout the forecast period. The market's growth will be fueled by support from the Chinese government and various development plans, such as the New Generation Artificial Intelligence Development Plan and Made in China 2025. Credible companies such as Huawei and Baidu also invest in research and innovation. The vast user base in China, along with significant advancements in the consumption and innovation of consumer electronics, also contributes to this growth. Moreover, the large volumes of data generated by the Chinese population create an excellent environment for training and deploying edge AI models. China's strategic approach to integrating AI into various industries-including smart manufacturing, smart cities, and autonomous vehicles-will further support and accelerate the expansion of the edge AI market in the region.
The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
By Company Type: Tier 1 - 18%, Tier 2 - 22%, and Tier 3 - 60%
By Designation: C-level Executives - 21%, Directors -35%, and Others - 44%
By Region: North America -45%, Europe - 20%, Asia Pacific- 30%, and RoW - 5%
The report profiles key edge AI hardware market players with their respective market ranking analysis. Prominent players profiled in this report include Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), SAMSUNG (South Korea), Apple Inc. (US), MediaTek Inc. (Taiwan), Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Micron Technology, Inc. (US), and Advanced Micro Devices, Inc. (US). Meta (US), Tesla (US), Google (US), Microsoft (US), Imagination Technologies (UK), Cambricon (China), Tenstorrent (Canada), Blaize (US), General Vision, Inc (US), Mythic (US), Zero ASIC Corporation (US), Applied Brain Research, Inc. (Canada), Horizon Robotics (China), CEVA Inc. (US), Graphcore (UK), SambaNova Systems, Inc. (US), HAILO (Israel), and Axelera AI (Netherlands) are among a few other key companies in the edge AI hardware market.
Research Coverage:
The report defines, describes, and forecasts the edge AI hardware market based on device, power consumption, processor, function, vertical, and region. It provides detailed information regarding drivers, restraints, opportunities, and challenges influencing the market's growth. It also analyzes competitive developments such as product launches, acquisitions, expansions, and actions carried out by the key players to grow in the market.
Reason to Buy This Report
The report will help the market leaders/new entrants with information on the closest approximations of the revenue for the overall edge AI hardware market and the subsegments. The report will help stakeholders understand the competitive landscape and gain more insight to position their business better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market's pulse and provides information on key drivers, restraints, opportunities, and challenges.
The report provides insights on the following pointers:
Analysis of key drivers (Need for real-time data processing and reduced cloud dependency), restraints (Complexities associated with network implementation), opportunities (Advancements in edge AI hardware through generative AI workload optimization), and challenges (Shortage of skilled workforce) of the edge AI hardware market.
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the edge AI hardware market
Market Development: Comprehensive information about lucrative markets by analyzing the edge AI hardware market across varied regions
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the edge AI hardware market
Competitive Assessment: In-depth assessment of market shares, growth strategies, and offerings of leading players in the edge AI hardware market, such as Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), SAMSUNG (South Korea), Apple Inc. (US), and MediaTek Inc. (Taiwan), among others.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 INCLUSIONS AND EXCLUSIONS
1.3.2 MARKETS COVERED AND REGIONAL SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Major secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 List of key interview participants
2.1.2.2 Key data from primary sources
2.1.2.3 Key industry insights
2.1.2.4 Breakdown of primaries
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.1.4 BOTTOM-UP APPROACH
2.1.4.1 Approach to derive market size using bottom-up approach (Demand-side)
2.1.5 TOP-DOWN APPROACH
2.1.5.1 Approach to derive market size using top-down analysis (Supply-side)
2.2 DATA TRIANGULATION
2.3 RESEARCH ASSUMPTIONS
2.4 REPORT LIMITATIONS
2.5 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN EDGE AI HARDWARE MARKET
4.2 EDGE AI HARDWARE MARKET, BY DEVICE
4.3 EDGE AI HARDWARE MARKET, BY VERTICAL
4.4 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION
4.5 EDGE AI HARDWARE MARKET IN ASIA PACIFIC, BY DEVICE AND COUNTRY
4.6 EDGE AI HARDWARE MARKET, BY GEOGRAPHY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Need for real-time data processing and reduced cloud dependency
5.2.1.2 Development of dedicated AI processing units for edge device applications
5.2.1.3 Necessity to optimize data management and reduce cloud infrastructure load
5.2.2 RESTRAINTS
5.2.2.1 Complexities associated with network implementation
5.2.3 OPPORTUNITIES
5.2.3.1 Advancements in edge AI hardware through generative AI workload optimization
5.2.3.2 Development of on-device visual processors for next-generation mobile AI applications
5.2.3.3 Growing integration of edge computing across robotics, automotive, and industrial sectors
5.2.3.4 Opportunities in ultra-low latency AI applications with 5G-powered edge infrastructure
5.2.4 CHALLENGES
5.2.4.1 Balancing performance and power consumption in edge AI systems
5.2.4.2 Developing cohesive edge AI standards across diverse industry requirements
5.2.4.3 Shortage of skilled workforce
5.3 SUPPLY CHAIN ANALYSIS
5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.5 ECOSYSTEM ANALYSIS
5.6 PORTER'S FIVE FORCES ANALYSIS
5.6.1 THREAT OF NEW ENTRANTS
5.6.2 THREAT OF SUBSTITUTES
5.6.3 BARGAINING POWER OF SUPPLIERS
5.6.4 BARGAINING POWER OF BUYERS
5.6.5 INTENSITY OF COMPETITIVE RIVALRY
5.7 KEY STAKEHOLDERS AND BUYING CRITERIA
5.7.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.7.2 BUYING CRITERIA
5.8 CASE STUDY ANALYSIS
5.9 INVESTMENT AND FUNDING SCENARIO
5.10 TECHNOLOGY ANALYSIS
5.10.1 KEY TECHNOLOGIES
5.10.1.1 IoT
5.10.1.2 5G
5.10.1.3 Fog computing
5.10.2 COMPLEMENTARY TECHNOLOGIES
5.10.2.1 Generative AI
5.10.3 ADJACENT TECHNOLOGIES
5.10.3.1 Blockchain
5.11 TRADE ANALYSIS
5.11.1 IMPORT SCENARIO (HS CODE 854231)
5.11.2 EXPORT SCENARIO (HS CODE 854231)
5.12 PATENT ANALYSIS
5.13 REGULATORY LANDSCAPE
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.13.2 STANDARDS
5.14 KEY CONFERENCES AND EVENTS, 2025-2026
5.15 PRICING ANALYSIS
5.15.1 PRICING RANGE OF PROCESSORS, BY KEY PLAYER, 2024
5.15.2 AVERAGE SELLING PRICE TREND OF PROCESSORS, BY REGION, 2021-2024
5.16 AI IMPACT ON MARKET
5.17 2025 US TARIFF IMPACT ON MARKET
5.17.1 INTRODUCTION
5.17.2 KEY TARIFF RATES
5.17.3 PRICE IMPACT ANALYSIS
5.17.4 MOST-IMPACTED REGIONS/COUNTRIES
5.17.4.1 US
5.17.4.2 Europe
5.17.4.3 Asia Pacific
5.17.5 VERTICAL-LEVEL IMPACT
6 EDGE AI HARDWARE MARKET, BY DEVICE
6.1 INTRODUCTION
6.2 SMARTPHONES
6.2.1 SHIFT TOWARD EDGE COMPUTING IN MOBILE DEVICES TO DRIVE MARKET
6.3 SURVEILLANCE CAMERAS
6.3.1 ABILITY TO RUN DEEP NEURAL NETWORKS AT HIGH SPEED AND LOW POWER TO FUEL MARKET GROWTH
6.4 ROBOTS
6.4.1 INDUSTRIAL ROBOTICS AND AUTOMATION TO BOOST DEMAND
6.5 WEARABLES
6.5.1 RISING FOCUS ON HEALTH MONITORING AND PERSONALIZED WELLNESS TO FOSTER MARKET GROWTH
6.6 EDGE SERVERS
6.6.1 EXCELLENCE IN ENABLING FASTER DECISION-MAKING AND AUTOMATED ACTIONS TO ACCELERATE ADOPTION
6.7 SMART SPEAKERS
6.7.1 POTENTIAL TO OPTIMIZE VOICE ASSISTANT PERFORMANCE TO PROPEL MARKET
6.8 AUTOMOTIVE SYSTEMS
6.8.1 EMPHASIS OF AUTOMAKERS ON ENHANCING IN-VEHICLE INTELLIGENCE TO DRIVE MARKET
6.9 OTHER DEVICES
7 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION
7.1 INTRODUCTION
7.2 LESS THAN 1 W
7.2.1 RISING USE OF WEARABLES CONSUMING LESS THAN 1 W OF ELECTRICITY TO BOOST SEGMENTAL GROWTH
7.3 1-3 W
7.3.1 INCREASING SMARTPHONE SUBSCRIBERS TO FOSTER SEGMENTAL GROWTH
7.4 >3-5 W
7.4.1 ABILITY TO DELIVER OPTIMIZED POWER MANAGEMENT FOR SMART SPEAKERS TO BOOST DEMAND
7.5 >5-10 W
7.5.1 GROWING DEPLOYMENT OF SURVEILLANCE CAMERAS WITH FACE RECOGNITION AND VEHICLE RECOGNITION ABILITY TO DRIVE MARKET
7.6 MORE THAN 10 W
7.6.1 RISING DEMAND FOR SMART MIRRORS TO FUEL MARKET GROWTH
8 EDGE AI HARDWARE MARKET, BY PROCESSOR
8.1 INTRODUCTION
8.2 CPU
8.2.1 INCREASING DEPLOYMENT IN SMARTPHONES AND SMART SPEAKERS TO FUEL SEGMENTAL GROWTH
8.3 GPU
8.3.1 POTENTIAL TO ENABLE HIGH-SPEED PARALLEL PROCESSING FOR MODERN APPLICATIONS TO FOSTER SEGMENTAL GROWTH
8.4 ASIC
8.4.1 ELEVATING USE OF HIGH-SPEED FIXED-FUNCTION ASICS IN VISION PROCESSING TO PROPEL MARKET
8.5 OTHER PROCESSORS
9 EDGE AI HARDWARE MARKET, BY FUNCTION
9.1 INTRODUCTION
9.2 TRAINING
9.2.1 MAXIMIZING DATA SECURITY THROUGH ON-DEVICE TRAINING TO DRIVE MARKET
9.3 INFERENCE
9.3.1 RISING FOCUS ON DEVELOPING LOW-POWER AND HIGH-PERFORMANCE PROCESSORS TO ACCELERATE DEMAND
10 EDGE AI HARDWARE MARKET, BY VERTICAL
10.1 INTRODUCTION
10.2 CONSUMER ELECTRONICS
10.2.1 EXPANDING USE OF ON-DEVICE AI IN CONSUMER ELECTRONICS TO FUEL MARKET GROWTH
10.2.2 SMARTPHONES
10.2.2.1 Escalating demand for dedicated AI chipset-enabled smartphones to accelerate market growth
10.2.3 WEARABLES
10.2.3.1 Rising use of AR/VR technology in gaming applications to support market growth
10.2.4 ENTERTAINMENT ROBOTS
10.2.4.1 Growing adoption of robotic pets as companions to create opportunities
10.3 SMART HOMES
10.3.1 ELEVATING DEMAND FOR SMART SPEAKERS TO DRIVE MARKET
10.3.2 SMART SPEAKERS
10.3.2.1 Ease of use and convenience to increase adoption by elderly and busy people
10.3.3 SMART CAMERAS
10.3.3.1 Round-the-clock security requirement to surge adoption
10.3.4 DOMESTIC ROBOTS
10.3.4.1 Ability to manage lawn mowing and floor, pool, and window cleaning activities to spike demand
10.4 AUTOMOTIVE & TRANSPORTATION
10.4.1 EMERGENCE OF AUTONOMOUS VEHICLES TO FUEL MARKET GROWTH
10.4.2 AUTOMOTIVE SYSTEMS
10.4.2.1 Strong focus on enhancing safety and automation in modern vehicles to drive market
10.4.3 SURVEILLANCE CAMERAS
10.4.3.1 Need for advanced vehicle recognition and counting technology to boost deployment
10.4.4 LOGISTICS ROBOTS
10.4.4.1 Elevating use in courier and cargo handling applications to drive market
10.4.5 OTHER AUTOMOTIVE & TRANSPORTATION DEVICES
10.5 GOVERNMENT
10.5.1 RISING ADOPTION OF ADVANCED TECHNOLOGIES TO ENSURE CITIZEN SECURITY AND SAFETY TO CREATE OPPORTUNITIES
10.5.2 SURVEILLANCE CAMERAS
10.5.2.1 Increasing use by police and first responders to augment market growth
10.5.3 DRONES
10.5.3.1 Adoption of AI-powered drones in tracking suspects and investigating accidents to propel market
10.6 HEALTHCARE
10.6.1 EMERGENCE OF AI-POWERED MEDICAL ROBOTS AND WEARABLES TO OFFER LUCRATIVE OPPORTUNITIES
10.6.2 MEDICAL ROBOTS
10.6.2.1 Emphasis on minimizing infection risks to patients to boost adoption
10.6.3 WEARABLES
10.6.3.1 Growing trend of remote patient monitoring to encourage adoption
10.6.4 OTHER HEALTHCARE DEVICES
10.7 INDUSTRIAL
10.7.1 GROWING USE IN QUALITY CONTROL AND MACHINE INSPECTION APPLICATIONS TO CONTRIBUTE TO MARKET GROWTH
10.7.2 INDUSTRIAL ROBOTS
10.7.2.1 Increasing adoption to speed up production, improve productivity, and reduce product cost to drive market
10.7.3 DRONES
10.7.3.1 Rising use to automate inspection processes, save time, and provide accurate results to support market growth
10.7.4 MV CAMERAS
10.7.4.1 Potential to minimize production downtime by detecting machinery defects at faster rate to elevate adoption
10.8 AEROSPACE & DEFENSE
10.8.1 EMERGING DEFENSE TECHNOLOGIES TO ENABLE AUTONOMOUS COMBAT TO BOOST ADOPTION
10.8.2 SERVICE ROBOTS
10.8.2.1 Rising use in confined space operations to stimulate market growth
10.8.3 OTHER AEROSPACE & DEFENSE DEVICES
10.9 CONSTRUCTION
10.9.1 INCREASING EXECUTION OF DEMOLITION PROJECTS TO SPUR DEMAND
10.9.2 SERVICE ROBOTS
10.9.2.1 Elevating use across transportation, water, and urban infrastructure development projects to fuel market growth
10.9.3 DRONES
10.9.3.1 Increasing use in earthwork management, project planning, and surveying applications to support market growth
10.10 OTHER VERTICALS
10.10.1 SURVEILLANCE CAMERAS
10.10.1.1 Growing incidents of robbery and terror threats to create requirement for surveillance cameras
10.10.2 PROFESSIONAL SERVICE ROBOTS
10.10.2.1 Retail stores, restaurants, amusement parks, and airports to be major end users of professional robots
10.10.3 WEARABLES
10.10.3.1 Rising use of wearables by enterprises for on-the-job training to propel market growth
10.10.4 OTHER DEVICES
10.10.4.1 Emergence of virtual dressing rooms in apparel industry to support market growth
10.10.5 EDGE SERVERS
10.10.5.1 Need to improve efficiency of agricultural operations to generate requirement for edge AI
10.10.6 DRONES
10.10.6.1 Surging adoption of drones to monitor crops to push market growth
11 EDGE AI HARDWARE MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
11.2.2 US
11.2.2.1 Government-led investments in machine learning solutions to drive market
11.2.3 CANADA
11.2.3.1 Rising focus of startups on developing AI ecosystem to accelerate demand
11.2.4 MEXICO
11.2.4.1 Increasing penetration of AL and robotics in manufacturing sector to fuel market growth
11.3 EUROPE
11.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
11.3.2 GERMANY
11.3.2.1 Growing adoption of digital solutions in manufacturing plants to fuel market growth
11.3.3 UK
11.3.3.1 Rising demand for AI-based robots in industrial applications to drive market
11.3.4 FRANCE
11.3.4.1 Government-led funding in AI-based startups to expedite market growth
11.3.5 SPAIN
11.3.5.1 Rapid adoption of cloud computing to accelerate demand
11.3.6 ITALY
11.3.6.1 Growing inclination toward AI adoption and digital transformation to offer lucrative growth opportunities
11.3.7 POLAND
11.3.7.1 Increasing foreign and domestic investments in cloud and AI infrastructure development to spur demand
11.3.8 NORDICS
11.3.8.1 Government support to enhance AI capabilities to create lucrative opportunities
11.3.9 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
11.4.2 CHINA
11.4.2.1 Booming automotive & transportation sector to contribute to market growth
11.4.3 JAPAN
11.4.3.1 Strong emphasis on manufacturing industrial robots to drive market
11.4.4 SOUTH KOREA
11.4.4.1 Growing emphasis on developing AI infrastructure to drive market
11.4.5 INDIA
11.4.5.1 Government-led initiatives to boost AI infrastructure to create market growth potential
11.4.6 AUSTRALIA
11.4.6.1 Government initiatives encouraging AI adoption to support market growth
11.4.7 INDONESIA
11.4.7.1 Rapid digital transformation and data center expansion to increase demand
11.4.8 MALAYSIA
11.4.8.1 Government support to strengthen data center capacity to offer lucrative opportunities
11.4.9 THAILAND
11.4.9.1 Significant focus on AI innovation and setting digital economy to facilitate demand
11.4.10 VIETNAM
11.4.10.1 Investments in establishing green AI-ready data centers to spike demand
11.4.11 REST OF ASIA PACIFIC
11.5 ROW
11.5.1 MACROECONOMIC OUTLOOK FOR ROW
11.5.2 SOUTH AMERICA
11.5.2.1 High investments in IT security and services to accelerate market growth
11.5.3 MIDDLE EAST
11.5.3.1 Rapid industrialization and smart city products to drive demand
11.5.3.2 Bahrain
11.5.3.2.1 Foreign investments in AI innovation to propel market
11.5.3.3 Kuwait
11.5.3.3.1 Growing demand for AI workloads and cloud services to drive market
11.5.3.4 Oman
11.5.3.4.1 Significant focus on developing local expertise in chip design and manufacturing to create opportunities
11.5.3.5 Qatar
11.5.3.5.1 Advancements in AI and graphics processing technologies to propel market
11.5.3.6 Saudi Arabia
11.5.3.6.1 Growing emphasis on digital transformation and technological innovation to drive market
11.5.3.7 UAE
11.5.3.7.1 Goal to become a global AI and digital innovation hub to contribute to market growth
11.5.3.8 Rest of Middle East
11.5.4 AFRICA
11.5.4.1 Increasing demand for cloud and AI-driven solutions to drive market
11.5.4.2 South Africa
11.5.4.2.1 Rapid digital transformation to support market expansion
11.5.4.3 Other African countries
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, JANUARY 2020-MAY 2025
12.3 REVENUE ANALYSIS, 2020-2024
12.4 MARKET SHARE ANALYSIS, 2024
12.5 COMPANY VALUATION AND FINANCIAL METRICS
12.6 BRAND/PRODUCT COMPARISON
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
12.7.1 STARS
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE PLAYERS
12.7.4 PARTICIPANTS
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
12.7.5.1 Company footprint
12.7.5.2 Region footprint
12.7.5.3 Device footprint
12.7.5.4 Power consumption footprint
12.7.5.5 Processor footprint
12.7.5.6 Function footprint
12.7.5.7 Vertical footprint
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
