Global Edge AI Market Size, Share, Trends & Growth Analysis Report 2026-2034
상품코드:1949259
리서치사:Value Market Research
발행일:2026년 02월
페이지 정보:영문 145 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
엣지 AI시장 규모는 2025년 197억 2,000만 달러에서 2034년에는 1,468억 5,000만 달러에 이를 것으로 예측되며, 2026-2034년 CAGR 24.99%를 나타낼 전망입니다.
조직이 네트워크 엣지단에서 인공지능을 활용하려는 움직임이 가속화되면서 엣지 AI 시장은 큰 폭의 성장이 예상됩니다. IoT 기기의 보급과 실시간 데이터 처리의 필요성에 따라 엣지 AI 솔루션은 제조, 의료, 운송 등의 산업에서 필수 불가결한 요소로 자리 잡고 있습니다. 엣지 AI는 데이터 분석이 발생원 근처에서 가능하게 함으로써 지연을 줄이고 의사결정 능력을 강화합니다. 기업들이 효율성과 대응력을 우선시하는 가운데, 엣지 AI 솔루션에 대한 수요가 급증하며 시장 확대를 견인할 것으로 예측됩니다.
또한, 엣지 컴퓨팅 기술의 발전은 엣지 AI 용도의 역량을 강화하고 있습니다. 고성능 프로세서와 머신러닝 알고리즘의 통합으로 엣지 환경에서 고도의 데이터 분석 및 예측 분석이 가능합니다. 이러한 기술적 진화는 업무 효율성을 향상시킬 뿐만 아니라, 변화하는 상황과 새로운 트렌드에 조직이 빠르게 대응할 수 있게 해줍니다. 엣지 AI 시장이 혁신을 거듭하고 있는 가운데, 데이터 기반 의사결정의 미래에 중요한 역할을 할 것으로 예측됩니다.
또한, 보안과 프라이버시에 대한 관심이 높아지면서 엣지 AI 시장 전망가 형성되고 있습니다. 조직이 엣지에서 민감한 데이터를 취급하는 상황에서 강력한 보안 대책의 필요성은 매우 중요합니다. 엣지 AI 솔루션은 데이터의 무결성을 보호하고 규제 요건을 준수할 수 있는 고급 보안 기능을 통합하는 방향으로 진화하고 있습니다. 이러한 보안에 대한 집중은 엣지 AI 시장의 혁신과 성장을 지속적으로 촉진하고 현대 디지털 인프라의 중요한 구성 요소로 자리매김할 것입니다.
목차
제1장 서론
제2장 주요 요약
제3장 시장 변수, 동향, 프레임워크
제4장 세계의 엣지 AI 시장 : 컴포넌트별
제5장 세계의 엣지 AI 시장 : 용도별
제6장 세계의 엣지 AI 시장 : 최종 용도별
제7장 세계의 엣지 AI 시장 : 지역별
제8장 경쟁 구도
제9장 기업 개요
LSH
영문 목차
영문목차
The Edge AI Market size is expected to reach USD 146.85 Billion in 2034 from USD 19.72 Billion (2025) growing at a CAGR of 24.99% during 2026-2034.
The edge AI market is poised for substantial growth as organizations increasingly seek to leverage artificial intelligence at the edge of their networks. With the proliferation of IoT devices and the need for real-time data processing, edge AI solutions are becoming essential for industries such as manufacturing, healthcare, and transportation. By enabling data analysis closer to the source, edge AI reduces latency and enhances decision-making capabilities. As businesses prioritize efficiency and responsiveness, the demand for edge AI solutions is expected to surge, driving market expansion.
Furthermore, advancements in edge computing technology are enhancing the capabilities of edge AI applications. The integration of powerful processors and machine learning algorithms allows for more sophisticated data analysis and predictive analytics at the edge. This technological evolution not only improves operational efficiency but also enables organizations to respond swiftly to changing conditions and emerging trends. As the edge AI market continues to innovate, it is set to play a crucial role in the future of data-driven decision-making.
Additionally, the increasing focus on security and privacy is shaping the future of the edge AI market. As organizations handle sensitive data at the edge, the need for robust security measures is paramount. Edge AI solutions are evolving to incorporate advanced security features that protect data integrity and ensure compliance with regulatory requirements. This focus on security will continue to drive innovation and growth in the edge AI market, positioning it as a critical component of modern digital infrastructure.
Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:
Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.
Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.
Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.
Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.
Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.
Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.
Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.
MARKET SEGMENTATION
By Component
Hardware
Software
Services
By Application
Video surveillance
Remote monitoring
Predictive maintenance
Others
By End Use
Manufacturing
Healthcare
BSFI
Government
Retail & e-commerce
Telecommunication
Transport & logistics
Others
COMPANIES PROFILED
Amazon Web Service AWS, Intel, Dell, Google, Gorilla technology, Huawei Technologies, IBM, Microsoft, Alphabet Inc, Nutanix Inc, Synaptics Incorporated
We can customise the report as per your requriements
TABLE OF CONTENTS
Chapter 1. PREFACE
1.1. Market Segmentation & Scope
1.2. Market Definition
1.3. Information Procurement
1.3.1 Information Analysis
1.3.2 Market Formulation & Data Visualization
1.3.3 Data Validation & Publishing
1.4. Research Scope and Assumptions
1.4.1 List of Data Sources
Chapter 2. EXECUTIVE SUMMARY
2.1. Market Snapshot
2.2. Segmental Outlook
2.3. Competitive Outlook
Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK
3.1. Market Lineage Outlook
3.2. Penetration & Growth Prospect Mapping
3.3. Value Chain Analysis
3.4. Regulatory Framework
3.4.1 Standards & Compliance
3.4.2 Regulatory Impact Analysis
3.5. Market Dynamics
3.5.1 Market Drivers
3.5.2 Market Restraints
3.5.3 Market Opportunities
3.5.4 Market Challenges
3.6. Porter's Five Forces Analysis
3.7. PESTLE Analysis
Chapter 4. GLOBAL EDGE AI MARKET: BY COMPONENT 2022-2034 (USD MN)
4.1. Market Analysis, Insights and Forecast Component
4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 5. GLOBAL EDGE AI MARKET: BY APPLICATION 2022-2034 (USD MN)
5.1. Market Analysis, Insights and Forecast Application
5.2. Video surveillance Estimates and Forecasts By Regions 2022-2034 (USD MN)
5.3. Remote monitoring Estimates and Forecasts By Regions 2022-2034 (USD MN)
5.4. Predictive maintenance Estimates and Forecasts By Regions 2022-2034 (USD MN)
5.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 6. GLOBAL EDGE AI MARKET: BY END USE 2022-2034 (USD MN)
6.1. Market Analysis, Insights and Forecast End Use
6.2. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.3. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.4. BSFI Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.5. Government Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.6. Retail & e-commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.7. Telecommunication Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.8. Transport & logistics Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.9. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 7. GLOBAL EDGE AI MARKET: BY REGION 2022-2034(USD MN)
7.1. Regional Outlook
7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
7.2.1 By Component
7.2.2 By Application
7.2.3 By End Use
7.2.4 United States
7.2.5 Canada
7.2.6 Mexico
7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
7.3.1 By Component
7.3.2 By Application
7.3.3 By End Use
7.3.4 United Kingdom
7.3.5 France
7.3.6 Germany
7.3.7 Italy
7.3.8 Russia
7.3.9 Rest Of Europe
7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
7.4.1 By Component
7.4.2 By Application
7.4.3 By End Use
7.4.4 India
7.4.5 Japan
7.4.6 South Korea
7.4.7 Australia
7.4.8 South East Asia
7.4.9 Rest Of Asia Pacific
7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
7.5.1 By Component
7.5.2 By Application
7.5.3 By End Use
7.5.4 Brazil
7.5.5 Argentina
7.5.6 Peru
7.5.7 Chile
7.5.8 South East Asia
7.5.9 Rest of Latin America
7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
7.6.1 By Component
7.6.2 By Application
7.6.3 By End Use
7.6.4 Saudi Arabia
7.6.5 UAE
7.6.6 Israel
7.6.7 South Africa
7.6.8 Rest of the Middle East And Africa
Chapter 8. COMPETITIVE LANDSCAPE
8.1. Recent Developments
8.2. Company Categorization
8.3. Supply Chain & Channel Partners (based on availability)
8.4. Market Share & Positioning Analysis (based on availability)
8.5. Vendor Landscape (based on availability)
8.6. Strategy Mapping
Chapter 9. COMPANY PROFILES OF GLOBAL EDGE AI INDUSTRY