한글목차

세계의 사물인공지능(AIoT) 시장은 예측 기간 중(2026-2036년) CAGR 29.4%로 확대되어 2026년 370억 5,000만 달러에서 2036년까지 약 4,854억 5,000만 달러에 이를 것으로 전망되고 있습니다.

본 보고서는 세계 5개 주요 지역에서 AIoT 시장에 대한 상세한 분석을 제공하며, 현재 시장 동향, 시장 규모, 최근 동향 및 2036년까지의 예측에 중점을 둡니다. 광범위한 2차 및 1차 조사 및 시장 시나리오의 상세한 분석을 통해 주요 산업의 촉진요인, 억제요인, 기회, 과제의 영향 분석을 실시했습니다.

AIoT 시장의 성장을 견인하는 주요 요인으로는 운영 인텔리전스에 대한 세계의 관심을 강화하고 다양한 산업 및 상업 환경에서 자율 시스템의 급속한 확대를 들 수 있습니다. 또한 에지 인텔리전스 통합, 실시간 리소스 최적화에 대한 수요 증가, 첨단 AIoT 플랫폼의 확대가 AIoT 시장에서 사업을 전개하는 기업에게 큰 성장 기회를 창출할 것으로 예측됩니다.

시장 세분화

목차

제1장 서론

제2장 주요 요약

제3장 시장 개요

• 시장 역학
  • 성장 촉진요인
    • 업무 효율화와 자동화에 대한 수요 증가
    • 실시간 의사결정을 위한 엣지 컴퓨팅 도입 증가
    • 산업 환경에서 5G 및 6G 접속의 보급
    • 자율 시스템 및 로봇 공학의 확대
  • 억제요인
    • 높은 도입 비용과 통합상의 과제
    • 데이터 프라이버시와 사이버 보안에 대한 우려
  • 기회
    • 에지 환경에서 생성형 AI와 로컬 LLM의 통합
    • 스마트시티 구상과 도시의 현대화
    • 그린 AIoT와 에너지 절약 시스템의 상승
  • 과제
    • 단편화된 IoT 에코시스템간의 상호운용성의 과제
    • 숙련된 AI 및 IoT 엔지니어링 인력의 부족
• 충족되지 않은 요구와 빈 영역
• 상호접속된 시장과 섹터 횡단적인 기회
• Tier 1/2/3 기업에 의한 전략적 움직임

제4장 업계 동향

• AIoT와 엣지 인텔리전스의 진화
• Porter's Five Forces 분석
• 공급망 분석
• 생태계 분석
  • 반도체 및 칩 제조업체
  • 센서 및 접속 모듈 프로바이더
  • AIoT 플랫폼 소프트웨어 공급자
  • 클라우드 인프라 제공업체
  • 매니지드 서비스 제공업체
• 가격 분석
• 규제 프레임워크과 표준화
• 생성형 AI가 AIoT 시장에 미치는 영향

제5장 세계의 사물인공지능(AIoT) 시장 : 제공 제품별

• 하드웨어
  • 프로세서 및 SoC(GPU, TPU, FPGA, ASIC)
  • 센서 및 액추에이터
  • 연결 모듈(5G, Wi-Fi 6/7, LoRaWAN)
  • 엣지 디바이스 및 게이트웨이
• 소프트웨어
  • AIoT 플랫폼(디바이스, 애플리케이션, 연결성 관리)
  • 분석 및 데이터 관리 툴
  • 사이버 보안 및 아이덴티티 관리
• 서비스
  • 전문 서비스(통합, 컨설팅, 지원)
  • 매니지드 서비스

제6장 세계의 사물인공지능(AIoT) 시장 : 전개별

• 엣지 AIoT(디바이스상에서 처리)
• 클라우드 AIoT
• 하이브리드 AIoT

제7장 세계의 사물인공지능(AIoT) 시장 : 용도별

• 예지보전
• 실시간 모니터링 및 진단
• 자산 추적 및 관리
• 자율 시스템(로봇, 드론, 차량)
• 스마트 자동화 및 제어
• 품질검사 및 보안
• 기타 용도

제8장 세계의 사물인공지능(AIoT) 시장 : 산업별

• 제조업(산업용 AIoT, 스마트 팩토리)
• 의료(접속형 의료기기, 원격 모니터링)
• 소매 및 전자상거래(스마트 선반, 개인화 마케팅)
• BFSI(은행, 금융 서비스 및 보험)
• 에너지 및 유틸리티(스마트 그리드, 자원 최적화)
• 운송 및 물류(차량 관리, 스마트 창고)
• 스마트 시티 빌딩(공공 안전, 교통 관리)
• 농업(정밀 농업)
• 기타 분야(교육, 미디어 및 엔터테인먼트)

제9장 세계의 사물인공지능(AIoT) 시장 : 지역별

• 북미
  • 미국
  • 캐나다
• 유럽
  • 영국
  • 독일
  • 프랑스
  • 이탈리아
  • 스페인
  • 북유럽 국가
  • 기타 유럽
• 아시아태평양
  • 중국
  • 인도
  • 일본
  • 한국
  • 호주 및 뉴질랜드
  • ASEAN
  • 기타 아시아태평양
• 라틴아메리카
  • 브라질
  • 멕시코
  • 아르헨티나
  • 칠레
  • 기타 라틴아메리카
• 중동 및 아프리카
  • 사우디아라비아
  • 아랍에미리트(UAE)
  • 남아프리카
  • 카타르
  • 기타 중동 및 아프리카

제10장 경쟁 구도

• 시장 점유율 분석, 2025년
• 경쟁 구도 대시보드
  • 산업 리더
  • 시장의 차별화 요인
  • 선구기업
  • 신흥기업
• 전략적 전개(합병, 인수, 제휴, 제품 발매)

제11장 기업 프로파일(사업 개요, 재무 상황, 제품 포트폴리오, 전략적 전개)

• NVIDIA Corporation
• Intel Corporation
• Qualcomm Technologies, Inc.
• Samsung Electronics Co., Ltd.
• Amazon Web Services(AWS)
• IBM Corporation
• Microsoft Corporation
• Cisco Systems, Inc.
• Siemens AG
• Schneider Electric
• Honeywell International Inc.
• Rockwell Automation, Inc.
• Advantech Co., Ltd.
• ADLINK Technology Inc.
• Huawei Technologies Co., Ltd.

제12장 부록

영문목차

Artificial Intelligence of Things (AIoT) Market by Offering (Hardware, Software, Services), Deployment (Edge AIoT, Cloud AIoT), Application (Predictive Maintenance, Real-Time Monitoring, Autonomous Systems, Asset Tracking, Others), Vertical (Manufacturing, Healthcare, Retail, BFSI), and Geography - Global Forecast to 2036

According to the research report titled, 'Artificial Intelligence of Things (AIoT) Market by Offering (Hardware, Software, Services), Deployment (Edge AIoT, Cloud AIoT), Application (Predictive Maintenance, Real-Time Monitoring, Autonomous Systems, Asset Tracking, Others), Vertical (Manufacturing, Healthcare, Retail, BFSI), and Geography - Global Forecast to 2036,' the global AIoT market is expected to reach approximately USD 485.45 billion by 2036 from USD 37.05 billion in 2026, at a CAGR of 29.4% during the forecast period (2026-2036).

The report provides an in-depth analysis of the global AIoT market across five major regions, emphasizing the current market trends, market sizes, recent developments, and forecasts till 2036. Following extensive secondary and primary research and an in-depth analysis of the market scenario, the report conducts the impact analysis of the key industry drivers, restraints, opportunities, and challenges.

The major factors driving the growth of the AIoT market include the intensifying global focus on operational intelligence and the rapid expansion of autonomous systems across diverse industrial and commercial environments. Additionally, the integration of edge intelligence, increasing demand for real-time resource optimization, and expansion of advanced AIoT platforms are expected to create significant growth opportunities for players operating in the AIoT market.

Market Segmentation

The AIoT market is segmented by offering (hardware, software, services), deployment (edge AIoT, cloud AIoT), application (predictive maintenance, real-time monitoring, autonomous systems, asset tracking, others), vertical (manufacturing, healthcare, retail, BFSI), and geography. The study also evaluates industry competitors and analyzes the market at the country level.

Based on Offering

By offering, the hardware segment holds the largest market share in 2026, primarily attributed to the critical infrastructure requirements for intelligent IoT devices and edge computing systems. Hardware components represent the foundational layer of AIoT deployments. However, the software segment is expected to grow at the fastest CAGR during the forecast period, driven by the increasing demand for advanced AI algorithms and machine learning platforms. The ability to deliver integrated solutions with proven performance makes advanced AIoT software platforms highly attractive for enterprises seeking operational optimization.

Based on Deployment

By deployment, the cloud AIoT segment holds the largest market share in 2026, owing to its widespread adoption for centralized data processing and scalable AI analytics across distributed IoT networks. Cloud-based AIoT provides flexible, on-demand computing resources for diverse applications. The edge AIoT segment is expected to witness significant growth during the forecast period, driven by the increasing demand for low-latency processing and real-time decision-making capabilities. Edge intelligence represents an emerging deployment paradigm with tremendous potential for industrial automation and autonomous systems.

Based on Application

By application, the predictive maintenance segment holds the largest share of the overall market in 2026, due to its proven efficacy in reducing equipment downtime and optimizing maintenance operations. Predictive maintenance represents the most mature AIoT application category. The real-time monitoring segment is expected to grow at a significant CAGR during the forecast period, driven by the increasing demand for continuous operational visibility and performance optimization. Autonomous systems and asset tracking represent emerging application segments with rapid growth potential across manufacturing and logistics sectors.

Geographic Analysis

An in-depth geographic analysis of the industry provides detailed qualitative and quantitative insights into the five major regions (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) and the coverage of major countries in each region. In 2026, North America dominates the global AIoT market with the largest market share, primarily attributed to massive investments in industrial automation and the presence of leading technology innovators in the United States and Canada. Asia-Pacific is expected to witness the fastest growth during the forecast period, supported by rapid industrialization and the widespread adoption of smart manufacturing technologies in China, India, and Southeast Asia. Europe, Latin America, and the Middle East & Africa represent emerging markets with growing industrial digitalization and increasing adoption of advanced AIoT solutions.

Key Players

The key players operating in the global AIoT market are Microsoft Corporation, Amazon Web Services (AWS), Google LLC, IBM Corporation, Intel Corporation, NVIDIA Corporation, Qualcomm Incorporated, Cisco Systems Inc., Siemens AG, and various other regional and emerging artificial intelligence and IoT solution providers, among others.

Key Questions Answered in the Report-

• What is the current revenue generated by the AIoT market globally?
• At what rate is the global AIoT market demand projected to grow for the next 7-10 years?
• What are the historical market sizes and growth rates of the global AIoT market?
• What are the major factors impacting the growth of this market at the regional and country levels? What are the major opportunities for existing players and new entrants in the market?
• Which segments in terms of offering, deployment, application, and vertical are expected to create major traction for the service providers in this market?
• What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the companies operating in the global AIoT market?
• Who are the major players in the global AIoT market? What are their specific product offerings in this market?
• What are the recent strategic developments in the global AIoT market? What are the impacts of these strategic developments on the market?

Scope of the Report:

AIoT Market Assessment -- by Offering

• Hardware
• Software
• Services

AIoT Market Assessment -- by Deployment

• Edge AIoT
• Cloud AIoT

AIoT Market Assessment -- by Application

• Predictive Maintenance
• Real-Time Monitoring
• Autonomous Systems
• Asset Tracking
• Others

AIoT Market Assessment -- by Vertical

• Manufacturing
• Healthcare
• Retail
• BFSI

AIoT Market Assessment -- by Geography

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • France
  • UK
  • Italy
  • Spain
  • Rest of Europe
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Rest of Asia-Pacific
• Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Rest of Middle East & Africa

TABLE OF CONTENTS

1. Introduction

• 1.1. Market Definition
• 1.2. Market Scope
• 1.3. Research Methodology
• 1.4. Assumptions & Limitations

2. Executive Summary

3. Market Overview

• 3.1. Introduction
• 3.2. Market Dynamics
  • 3.2.1. Drivers
    • 3.2.1.1. Growing Demand for Operational Efficiency and Automation
    • 3.2.1.2. Increasing Adoption of Edge Computing for Real-Time Decision Making
    • 3.2.1.3. Rise of 5G and 6G Connectivity in Industrial Environments
    • 3.2.1.4. Expansion of Autonomous Systems and Robotics
  • 3.2.2. Restraints
    • 3.2.2.1. High Implementation Costs and Integration Challenges
    • 3.2.2.2. Data Privacy and Cybersecurity Concerns
  • 3.2.3. Opportunities
    • 3.2.3.1. Integration of Generative AI and Local LLMs at the Edge
    • 3.2.3.2. Smart City Initiatives and Urban Modernization
    • 3.2.3.3. Emergence of Green AIoT and Energy-Efficient Systems
  • 3.2.4. Challenges
    • 3.2.4.1. Interoperability Issues Across Fragmented IoT Ecosystems
    • 3.2.4.2. Shortage of Skilled AI and IoT Engineering Talent
• 3.3. Unmet Needs and White Spaces
• 3.4. Interconnected Markets and Cross-Sector Opportunities
• 3.5. Strategic Moves by Tier-1/2/3 Players

4. Industry Trends

• 4.1. Evolution of AIoT and Edge Intelligence
• 4.2. Porter's Five Forces Analysis
• 4.3. Supply Chain Analysis
• 4.4. Ecosystem Analysis
  • 4.4.1. Semiconductor & Chip Manufacturers
  • 4.4.2. Sensor & Connectivity Module Providers
  • 4.4.3. AIoT Platform & Software Providers
  • 4.4.4. Cloud Infrastructure Providers
  • 4.4.5. Managed Service Providers
• 4.5. Pricing Analysis
• 4.6. Regulatory Framework and Standardization
• 4.7. Impact of Generative AI on AIoT Market

5. Global AIoT Market, By Offering

• 5.1. Introduction
• 5.2. Hardware
  • 5.2.1. Processors & SoCs (GPUs, TPUs, FPGAs, ASICs)
  • 5.2.2. Sensors & Actuators
  • 5.2.3. Connectivity Modules (5G, Wi-Fi 6/7, LoRaWAN)
  • 5.2.4. Edge Devices & Gateways
• 5.3. Software
  • 5.3.1. AIoT Platforms (Device, Application, Connectivity Management)
  • 5.3.2. Analytics & Data Management Tools
  • 5.3.3. Cybersecurity & Identity Management
• 5.4. Services
  • 5.4.1. Professional Services (Integration, Consulting, Support)
  • 5.4.2. Managed Services

6. Global AIoT Market, By Deployment

• 6.1. Introduction
• 6.2. Edge AIoT (On-Device Processing)
• 6.3. Cloud AIoT
• 6.4. Hybrid AIoT

7. Global AIoT Market, By Application

• 7.1. Introduction
• 7.2. Predictive Maintenance
• 7.3. Real-Time Monitoring & Diagnostics
• 7.4. Asset Tracking & Management
• 7.5. Autonomous Systems (Robots, Drones, Vehicles)
• 7.6. Smart Automation & Control
• 7.7. Quality Inspection & Security
• 7.8. Other Applications

8. Global AIoT Market, By Vertical

• 8.1. Introduction
• 8.2. Manufacturing (Industrial AIoT, Smart Factories)
• 8.3. Healthcare (Connected Medical Devices, Remote Monitoring)
• 8.4. Retail & E-commerce (Smart Shelves, Personalized Marketing)
• 8.5. BFSI (Banking, Financial Services, and Insurance)
• 8.6. Energy & Utilities (Smart Grids, Resource Optimization)
• 8.7. Transportation & Logistics (Fleet Management, Smart Warehousing)
• 8.8. Smart Cities & Buildings (Public Safety, Traffic Management)
• 8.9. Agriculture (Precision Farming)
• 8.10. Other Verticals (Education, Media & Entertainment)

9. Global AIoT Market, By Geography

• 9.1. Introduction
• 9.2. North America
  • 9.2.1. U.S.
  • 9.2.2. Canada
• 9.3. Europe
  • 9.3.1. U.K.
  • 9.3.2. Germany
  • 9.3.3. France
  • 9.3.4. Italy
  • 9.3.5. Spain
  • 9.3.6. Nordics
  • 9.3.7. Rest of Europe
• 9.4. Asia-Pacific
  • 9.4.1. China
  • 9.4.2. India
  • 9.4.3. Japan
  • 9.4.4. South Korea
  • 9.4.5. Australia & New Zealand
  • 9.4.6. ASEAN
  • 9.4.7. Rest of Asia-Pacific
• 9.5. Latin America
  • 9.5.1. Brazil
  • 9.5.2. Mexico
  • 9.5.3. Argentina
  • 9.5.4. Chile
  • 9.5.5. Rest of Latin America
• 9.6. Middle East & Africa
  • 9.6.1. Saudi Arabia
  • 9.6.2. UAE
  • 9.6.3. South Africa
  • 9.6.4. Qatar
  • 9.6.5. Rest of Middle East & Africa

10. Competitive Landscape

• 10.1. Overview
• 10.2. Market Share Analysis, 2025
• 10.3. Competitive Dashboard
  • 10.3.1. Industry Leader
  • 10.3.2. Market Differentiators
  • 10.3.3. Vanguards
  • 10.3.4. Emerging Companies
• 10.4. Strategic Developments (Mergers, Acquisitions, Partnerships, Product Launches)

11. Company Profiles (Business Overview, Financials, Product Portfolio, Strategic Developments)

• 11.1. NVIDIA Corporation
• 11.2. Intel Corporation
• 11.3. Qualcomm Technologies, Inc.
• 11.4. Samsung Electronics Co., Ltd.
• 11.5. Amazon Web Services (AWS)
• 11.6. IBM Corporation
• 11.7. Microsoft Corporation
• 11.8. Cisco Systems, Inc.
• 11.9. Siemens AG
• 11.10. Schneider Electric
• 11.11. Honeywell International Inc.
• 11.12. Rockwell Automation, Inc.
• 11.13. Advantech Co., Ltd.
• 11.14. ADLINK Technology Inc.
• 11.15. Huawei Technologies Co., Ltd.

12. Appendix

• 12.1. Questionnaire
• 12.2. Related Reports