IoT용 AI 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 기술별, 업계별, 지역별, 경쟁별(2020-2030년)
AI in IoT Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Technology, By Industry Vertical, By Region, By Competition, 2020-2030F
상품코드:1881582
리서치사:TechSci Research
발행일:2025년 11월
페이지 정보:영문 181 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
세계의 IoT용 AI 시장은 2024년에 631억 7,000만 달러로 평가되었으며, 2030년까지 CAGR 8.9%로 성장하여 1,053억 6,000만 달러에 달할 것으로 예측됩니다.
IoT용 인공지능(AIoT)은 AI를 사물인터넷(IoT) 인프라와 통합하여 연결된 기기가 사람의 개입 없이 자율적으로 데이터를 수집, 분석, 실행할 수 있도록 합니다. 주요 시장 촉진요인으로는 예측 유지보수 및 최적화된 자원 관리로 대표되는 자동화를 통한 업무 효율성 향상과 비용 절감에 대한 수요가 있습니다. 늘어나는 스마트 기기로부터의 데이터량도 실시간 처리와 실용적인 인사이트를 얻기 위해 AI 도입을 더욱 필요로 하고 있습니다.
시장 개요
예측 기간
2026-2030년
시장 규모 : 2024년
631억 7,000만 달러
시장 규모 : 2030년
1,053억 6,000만 달러
CAGR : 2025-2030년
8.9%
가장 빠르게 성장하는 부문
제조업
최대 시장
북미
주요 시장 촉진요인
실시간 데이터 처리 및 고급 분석에 대한 수요는 세계 IoT AI 시장의 주요 촉진요인으로 작용할 것입니다. IoT용 AI는 커넥티드 디바이스의 방대한 데이터세트를 즉각적으로 분석하여 엣지 및 클라우드 환경에서 원시 데이터를 실용적인 인사이트로 전환할 수 있도록 지원합니다.
주요 시장 과제
인공지능을 다양한 기존 IoT 인프라와 통합하는 복잡성은 세계 IoT용 AI 시장 성장에 큰 장벽이 되고 있습니다. 많은 레거시 IoT 시스템은 고급 AI 애플리케이션에 필요한 컴퓨팅 성능이나 아키텍처 유연성을 갖추지 못하고 있습니다.
주요 시장 동향
분산형 엣지 AI 프로세싱은 AI 연산을 IoT 기기 및 로컬 엣지 인프라의 데이터 소스에 가깝게 만드는 중요한 트렌드입니다. 이러한 분산화를 통해 지연을 획기적으로 줄이고, 자율 산업 시스템이나 반응형 운영 제어와 같은 중요한 애플리케이션에 필수적인 실시간 의사결정을 가능하게 합니다.
The Global AI in IoT Market, valued at USD 63.17 Billion in 2024, is projected to experience a CAGR of 8.9% to reach USD 105.36 Billion by 2030. Artificial Intelligence in IoT (AIoT) integrates AI with Internet of Things infrastructure, enabling connected devices to autonomously collect, analyze, and act on data without human intervention. Main market drivers include the demand for enhanced operational efficiency and cost savings through automation, exemplified by predictive maintenance and optimized resource management. The increasing volume of data from proliferating smart devices further necessitates AI for real-time processing and actionable insights.
Market Overview
Forecast Period
2026-2030
Market Size 2024
USD 63.17 Billion
Market Size 2030
USD 105.36 Billion
CAGR 2025-2030
8.9%
Fastest Growing Segment
Manufacturing
Largest Market
North America
Key Market Drivers
The demand for real-time data processing and advanced analytics stands as a primary driver for the global AI in IoT market. AI in IoT facilitates immediate analysis of extensive datasets from connected devices, transforming raw data into actionable intelligence at the edge and in cloud environments. This enables quicker, more informed decision-making, essential for applications like anomaly detection, proactive risk management, and dynamic resource optimization. According to Zilch, in April 2024, the company announced an extended collaboration with Amazon Web Services to accelerate AI innovation across its offerings, leveraging AWS's AI and machine learning services like Amazon SageMaker and Amazon Bedrock.
Key Market Challenges
The complexity of integrating artificial intelligence with diverse existing Internet of Things infrastructures presents a significant impediment to the growth of the global AI in IoT market. Many legacy IoT systems lack the computational capacity or architectural flexibility required for advanced AI applications. This necessitates extensive hardware and software modifications, creating a substantial barrier for organizations seeking to leverage AIoT solutions. The absence of standardized protocols and the prevalence of proprietary technologies across various IoT platforms further contribute to widespread interoperability issues.
Key Market Trends
Distributed Edge AI Processing represents a pivotal trend, shifting AI computations closer to the data source on IoT devices or local edge infrastructure. This decentralization dramatically minimizes latency, enabling real-time decision-making essential for critical applications such as autonomous industrial systems and responsive operational control. In manufacturing, processing data at the edge facilitates immediate anomaly detection and allows for rapid, proactive adjustments to machinery, preventing costly downtime.
Key Market Players
Microsoft Corporation
Amazon.com, Inc.
Alphabet Inc.
Apple Inc.
IBM Corporation
Siemens AG
Samsung Electronics Co., Ltd.
Huawei Technologies Co., Ltd.
Intel Corporation
SAP SE
Report Scope:
In this report, the Global AI in IoT Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
AI in IoT Market, By Technology:
Machine Learning
Deep Learning
Natural Language Processing
AI in IoT Market, By Industry Vertical:
BFSI
IT and Telecom
Retail and E-commerce
Manufacturing
Healthcare
Energy and Utilities
Transportation and Mobility
Others
AI in IoT Market, By Region:
North America
United States
Canada
Mexico
Europe
France
United Kingdom
Italy
Germany
Spain
Asia Pacific
China
India
Japan
Australia
South Korea
South America
Brazil
Argentina
Colombia
Middle East & Africa
South Africa
Saudi Arabia
UAE
Competitive Landscape
Company Profiles: Detailed analysis of the major companies presents in the Global AI in IoT Market.
Available Customizations:
Global AI in IoT Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Detailed analysis and profiling of additional market players (up to five).
Table of Contents
1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. Voice of Customer
5. Global AI in IoT Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Technology (Machine Learning, Deep Learning, Natural Language Processing)
5.2.2. By Industry Vertical (BFSI, IT and Telecom, Retail and E-commerce, Manufacturing, Healthcare, Energy and Utilities, Transportation and Mobility, Others)
