한글목차

세계 엣지 컴퓨팅 분야 AI 시장 규모는 2024년 165억 4,000만 달러에 달했습니다. 2032년에는 838억 6,000만 달러에 달할 것으로 예상되며, 예측 기간인 2025-2032년 22.50%의 연평균 복합 성장률(CAGR)을 나타낼 것으로 예상됩니다.

세계 엣지 컴퓨팅의 인공지능(AI) 시장은 실시간 데이터 처리에 대한 수요 증가와 사물인터넷(IoT) 디바이스의 보급으로 인해 빠르게 성장하고 있습니다. 엣지 디바이스에 AI 기능을 통합하여 데이터 발생지에서 실시간 분석과 의사결정을 가능하게 함으로써 산업을 변화시키고 있습니다. 예를 들어, McDonald's는 AI가 탑재된 드라이브 스루 시스템과 인터넷에 연결된 주방 장비를 도입하여 고객 서비스와 업무 효율성을 높이고 있습니다.

IoT 디바이스의 급격한 증가는 엣지 컴퓨팅에서 AI의 중요한 원동력입니다. 더 많은 디바이스가 상호 연결될수록 생성되는 데이터의 양이 크게 증가하여 효율적인 데이터 처리 방법이 필요하게 됩니다. 엣지컴퓨팅은 데이터 발생지와 더 가까운 곳에서 데이터 분석을 가능하게 하고, 대기 시간과 대역폭 요구 사항을 줄임으로써 이러한 요구를 충족시킬 수 있습니다.

AI의 통합은 자율주행차, 스마트시티, 산업 자동화 등의 용도에 필수적인 실시간 실행 가능한 인사이트를 도출할 수 있는 능력을 더욱 강화할 수 있습니다.

세계의 엣지컴퓨팅(Edge Computing)의 AI 시장에 대해 조사했으며, 시장 개요와 함께 구성요소별/구축 유형별/조직 규모별/기술별/용도별/최종 이용 산업별/지역별 동향, 경쟁 구도, 시장 진출 기업 프로파일 등의 정보를 전해드립니다.

목차

제1장 조사 방법과 범위

제2장 정의와 개요

제3장 주요 요약

제4장 시장 역학

• 영향요인
  • 성장 촉진요인
  • 성장 억제요인
  • 기회
  • 영향 분석

제5장 업계 분석

제6장 컴포넌트별

• 하드웨어
• 솔루션
• 서비스

제7장 전개 유형별

• 온프레미스
• 클라우드 기반

제8장 조직 규모별

• 대기업
• 중소기업

제9장 기술별

• 머신러닝
• 자연언어처리(NLP)
• 상황인식 컴퓨팅
• 기타

제10장 용도별

• 산업 IoT
• 원격 모니터링
• 컨텐츠 유통
• 비디오 분석
• 증강현실(AR) 및 가상현실(VR)
• 기타

제11장 최종 이용 산업별

• 은행/금융서비스/보험(B
• 소매
• 정부 및 방위
• 제조업
• 기업
• 헬스케어
• 자동차 및 운송
• 기타

제12장 지역별

• 북미
  • 미국
  • 캐나다
  • 멕시코
• 유럽
  • 독일
  • 영국
  • 프랑스
  • 이탈리아
  • 스페인
  • 기타
• 남미
  • 브라질
  • 아르헨티나
  • 기타
• 아시아태평양
  • 중국
  • 인도
  • 일본
  • 호주
  • 기타
• 중동 및 아프리카

제13장 경쟁 구도

제14장 기업 개요

• NVIDIA
• Amazon Web Services, Inc.
• Arctic Wolf Networks Inc.
• Tata Consultancy Services
• Microsoft Corporation
• Infosys
• IBM Corporation
• Intel Corporation
• Cisco Systems, Inc.
• Nokia

제15장 부록

영문목차

Global AI in Edge Computing Market reached US$ 16.54 billion in 2024 and is expected to reach US$ 83.86 billion by 2032, growing with a CAGR of 22.50% during the forecast period 2025-2032.

The global Artificial Intelligence (AI) in Edge Computing market is experiencing rapid growth, driven by the increasing demand for real-time data processing and the proliferation of Internet of Things (IoT) devices. The integration of AI capabilities into edge devices is transforming industries by enabling real-time analytics and decision-making at the source of data generation. For instance, McDonald's has implemented AI-powered drive-through systems and internet-connected kitchen equipment to enhance customer service and operational efficiency.

Dynamics

Driver - Proliferation of IoT Devices

The exponential growth of IoT devices is a significant driver for AI in edge computing. As more devices become interconnected, the volume of data generated increases substantially, necessitating efficient data processing methods. Edge computing addresses this need by enabling data analysis closer to the source, reducing latency and bandwidth requirements.

The integration of AI further enhances the ability to derive actionable insights in real-time, making it essential for applications like autonomous vehicles, smart cities, and industrial automation.

Restraint - High Initial Investment and Infrastructure Challenges

Implementing AI in edge computing requires substantial initial investments in hardware, software, and network infrastructure. Organizations may face challenges in upgrading existing systems to support edge computing capabilities, and the costs associated with deploying and maintaining these systems can be prohibitive.

Additionally, ensuring data security and compliance with regulatory standards adds complexity to the implementation process, potentially hindering the widespread adoption of AI in edge computing solutions.

Segment Analysis

The global AI in Edge Computing market is segmented based on component, deployment type, organization size, technology, application, end-use industry, and region.

Industrial Internet of Things (IIoT) represent the largest application segment in the global market.

The Industrial Internet of Things (IIoT) represents the largest segment within the AI in edge computing market, as industries increasingly adopt connected devices to enhance operational efficiency, safety, and productivity. In the energy sector, edge computing facilitates efficient management of distributed energy resources. General Electric employs edge computing techniques to estimate the lifespan of components in heat recovery steam generators, which are subject to extreme conditions, thereby optimizing maintenance schedules and improving reliability. Furthermore, the transportation industry benefits from edge computing through enhanced vehicle-to-infrastructure communication. In Ulm, Germany, a project involving Bosch and the University of Ulm integrates sensors into traffic infrastructure to assist autonomous vehicles in navigating complex urban environments.

Geographical Penetration

North America leads the AI in edge computing market, attributed to its advanced technological infrastructure, significant investments in AI research and development, and a robust ecosystem of tech companies.

The region's emphasis on maintaining leadership in AI has led to substantial investments in infrastructure. For instance, Microsoft and BlackRock announced a $30 billion fund to invest in AI infrastructure include data centers and energy project, focusing on enhancing AI capabilities in the United States. The U.S. government has also prioritized self-sufficiency in semiconductor production, as highlighted by the 2022 CHIPS Act, to reduce reliance on foreign manufacturing and bolster domestic AI capabilities.

Moreover, North American companies are at the forefront of integrating AI into edge computing. Qualcomm, for example, is expanding beyond mobile handsets into automotive and IoT sectors, leveraging its Snapdragon platform to deliver AI capabilities at the edge. The company projects its automotive revenue to reach $4 billion by fiscal 2026 and $8 billion by 2029, with IoT revenue expected to grow to $14 billion, reflecting the region's dynamic market landscape.

Technology Roadmap

The global AI in Edge Computing market is expected to evolve significantly over the coming years, driven by advancements in network infrastructure, the expansion of IoT, and the increasing adoption of artificial intelligence (AI) at the edge. Government initiatives, regulatory frameworks, and private sector investments are set to accelerate AI adoption in cybersecurity across multiple industries.

Competitive Landscape

The major Global players in the market include NVIDIA, Amazon Web Services, Inc., Arctic Wolf Networks Inc., Tata Consultancy Services, Microsoft Corporation, Infosys, IBM Corporation, Intel Corporation, Cisco Systems, Inc., and Nokia.

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Target Audience 2024

• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies

Table of Contents

1. Methodology and Scope

• 1.1. Research Methodology
• 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

• 3.1. Snippet by Component
• 3.2. Snippet by Deployment Type
• 3.3. Snippet by Organization Size
• 3.4. Snippet by Technology
• 3.5. Snippet by Application
• 3.6. Snippet by End-Use Industry
• 3.7. Snippet by Region

4. Dynamics

• 4.1. Impacting Factors
  • 4.1.1. Drivers
    • 4.1.1.1. Proliferation of IoT Devices
  • 4.1.2. Restraints
    • 4.1.2.1. High Initial Investment and Infrastructure Challenges
  • 4.1.3. Opportunity
  • 4.1.4. Impact Analysis

5. Industry Analysis

• 5.1. Porter's Five Force Analysis
• 5.2. Supply Chain Analysis
• 5.3. Value Chain Analysis
• 5.4. Pricing Analysis
• 5.5. Regulatory and Compliance Analysis
• 5.6. AI & Automation Impact Analysis
• 5.7. R&D and Innovation Analysis
• 5.8. Sustainability & Green Technology Analysis
• 5.9. Cybersecurity Analysis
• 5.10. Next Generation Technology Analysis
• 5.11. Technology Roadmap
• 5.12. DMI Opinion

6. By Component

• 6.1. Introduction
  • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 6.1.2. Market Attractiveness Index, By Component
• 6.2. Hardware*
  • 6.2.1. Introduction
  • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 6.3. Solutions
• 6.4. Services

7. By Deployment Type

• 7.1. Introduction
  • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 7.1.2. Market Attractiveness Index, By Deployment Type
• 7.2. On-premises*
  • 7.2.1. Introduction
  • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 7.3. Cloud-based

8. By Organization Size

• 8.1. Introduction
  • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 8.1.2. Market Attractiveness Index, By Organization Size
• 8.2. Large enterprises*
  • 8.2.1. Introduction
  • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 8.3. Small & Medium Sized Enterprises

9. By Technology

• 9.1. Introduction
  • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 9.1.2. Market Attractiveness Index, By Technology
• 9.2. Machine Learning*
  • 9.2.1. Introduction
  • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 9.3. Natural Language Processing (NLP)
• 9.4. Context-aware computing
• 9.5. Others

10. By Application

• 10.1. Introduction
  • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.1.2. Market Attractiveness Index, By Application
• 10.2. IIoT*
  • 10.2.1. Introduction
  • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 10.3. Remote Monitoring
• 10.4. Content Delivery
• 10.5. Video Analytics
• 10.6. AR&VR
• 10.7. Others

11. By End-Use Industry

• 11.1. Introduction
  • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
  • 11.1.2. Market Attractiveness Index, By End-Use Industry
• 11.2. Banking, Financial Services and Insurance*
  • 11.2.1. Introduction
  • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 11.3. Retail
• 11.4. Government & Defense
• 11.5. Manufacturing
• 11.6. Enterprise
• 11.7. Healthcare
• 11.8. Automotive & Transportation
• 11.9. Others

12. By Region

• 12.1. Introduction
  • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 12.1.2. Market Attractiveness Index, By Region
• 12.2. North America
  • 12.2.1. Introduction
  • 12.2.2. Key Region-Specific Dynamics
  • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
  • 12.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 12.2.9.1. US
    • 12.2.9.2. Canada
    • 12.2.9.3. Mexico
• 12.3. Europe
  • 12.3.1. Introduction
  • 12.3.2. Key Region-Specific Dynamics
  • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
  • 12.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 12.3.9.1. Germany
    • 12.3.9.2. UK
    • 12.3.9.3. France
    • 12.3.9.4. Italy
    • 12.3.9.5. Spain
    • 12.3.9.6. Rest of Europe
• 12.4. South America
  • 12.4.1. Introduction
  • 12.4.2. Key Region-Specific Dynamics
  • 12.4.3. Key Region-Specific Dynamics
  • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 12.4.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
  • 12.4.10. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 12.4.10.1. Brazil
    • 12.4.10.2. Argentina
    • 12.4.10.3. Rest of South America
• 12.5. Asia-Pacific
  • 12.5.1. Introduction
  • 12.5.2. Key Region-Specific Dynamics
  • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
  • 12.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 12.5.9.1. China
    • 12.5.9.2. India
    • 12.5.9.3. Japan
    • 12.5.9.4. Australia
    • 12.5.9.5. Rest of Asia-Pacific
• 12.6. Middle East and Africa
  • 12.6.1. Introduction
  • 12.6.2. Key Region-Specific Dynamics
  • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 12.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry

13. Competitive Landscape

• 13.1. Competitive Scenario
• 13.2. Market Positioning/Share Analysis
• 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

• 14.1. NVIDIA*
  • 14.1.1. Company Overview
  • 14.1.2. Product Portfolio and Description
  • 14.1.3. Financial Overview
  • 14.1.4. Key Developments
• 14.2. Amazon Web Services, Inc.
• 14.3. Arctic Wolf Networks Inc.
• 14.4. Tata Consultancy Services
• 14.5. Microsoft Corporation
• 14.6. Infosys
• 14.7. IBM Corporation
• 14.8. Intel Corporation
• 14.9. Cisco Systems, Inc.
• 14.10. Nokia

LIST NOT EXHAUSTIVE

15. Appendix

• 15.1. About Us and Services
• 15.2. Contact Us