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세계의 IoT용 AI 시장 분석과 예측(-2034년) : 유형, 제품, 서비스, 기술, 컴포넌트, 용도, 디바이스, 전개, 최종 사용자
AI in IoT Market Analysis and Forecast to 2034: Type, Product, Services, Technology, Component, Application, Device, Deployment, End User
상품코드 : 1720648
리서치사 : Global Insight Services LLC
발행일 : 2025년 05월
페이지 정보 : 영문 334 Pages
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한글목차

세계의 IoT용 AI 시장은 2024년 186억 달러에서 2034년까지 1,475억 달러로 확대되어 CAGR 약 23%를 보일 것으로 예측됩니다. 스마트 디바이스와 AI 주도의 애널리틱스의 융합에 중점을 두어 실시간 인사이트와 업무 효율을 촉진합니다.

시장 개요:

IoT용 AI 시장은 주로 IoT 기능을 강화하기 위한 AI 기술의 통합을 통해 강력한 확장을 경험하고 있습니다. 위에서 언급한 이 장점은 업계의 인더스트리 4.0으로의 전환에 힘입어 AI 주도 분석과 자동화가 생산 라인 최적화와 다운타임 절감에 매우 중요합니다. 그먼트가 기세를 늘리고 있으며, 성장의 큰 가능성을 제공합니다.

시장 세분화
유형 소프트웨어, 하드웨어, 서비스
제품 스마트 센서, 액추에이터, 에지 디바이스, 게이트웨이
서비스 전문 서비스, 관리 서비스, 컨설팅, 통합 서비스, 지원 유지 보수
기술 머신러닝, 딥러닝, 자연 언어 처리, 컴퓨터 비전
구성요소 프로세서, 메모리 디바이스, 커넥티비티 IC, 센서
용도 예측 보전, 자산 추적, 스마트 홈, 스마트 그리드, 스마트 시티
장치 웨어러블, 스마트 가전, 산업용 IoT 디바이스, 커넥티드 차량
배포 클라우드, On-Premise, 하이브리드
최종 사용자 제조, 건강 관리, 자동차, 에너지, 소매, 농업, 물류

IoT용 AI 시장은 클라우드 기반 솔루션에 대한 큰 기울기를 특징으로 하며, 그 확장성과 비용 효과로 시장을 독점하고 있습니다. 하이브리드 모델은 유연성과 제어의 밸런스를 갖춘 접근 방식을 제공하고 인기를 모으고 있습니다. 북미는 견고한 기술 인프라와 혁신에 견인되어 IoT에서 AI 도입의 최전선을 유지하고 있습니다.

경쟁 구도은 NVIDIA, Intel, IBM 등 주요 기업이 전략적인 작전을 전개하고 최첨단 AI의 진보를 통해 지속적으로 서비스를 강화하고 있는 것이 특징입니다. 장비에 대한 AI의 통합과 엣지 컴퓨팅의 보급이 견인역이 되어 시장은 강력한 성장을 이루는 자세입니다.

동향과 촉진요인:

IoT용 AI 시장은 인공지능과 사물인터넷의 융합에 힘입어 강력한 확장을 경험하고 있습니다. 까지 업계 전체의 혁신을 촉진하고 있습니다. 또 하나의 중요한 동향은 AIoT의 전망에서 엣지 컴퓨팅의 보급입니다. 뿐만 아니라 머신러닝의 진보로 IoT 디바이스의 패턴 인식 능력이 향상되어 보다 정확하고 개인화된 사용자 경험을 촉진합니다. 템의 무결성을 확보하고 있습니다.또한, 5G 기술의 대두가 AIoT 솔루션의 전개를 가속해, 보다 고속의 데이터 속도와 접속성을 제공합니다.

억제요인과 도전:

IoT용 AI 시장은 몇 가지 중요한 억제요인과 과제에 직면하고 있습니다. 솔루션에 필요한 초기 투자가 고액이기 때문에 중소기업에 있어서는 도입의 부족이 될 가능성이 있습니다. 마지막으로, 규제적 장애물과 규정 준수 요구 사항은 지역에 따라 다르므로 IoT용 AI의 세계 전개가 복잡해지고 있습니다.

목차

제1장 IoT용 AI 시장 개요

제2장 주요 요약

제3장 시장에 관한 중요 인사이트

제4장 IoT용 AI 시장 전망

제5장 IoT용 AI 시장 전략

제6장 IoT용 AI 시장 규모

제7장 IoT용 AI 시장 : 유형별

제8장 IoT용 AI 시장 : 제품별

제9장 IoT용 AI 시장 : 서비스별

제10장 IoT용 AI 시장 : 기술별

제11장 IoT용 AI 시장 : 컴포넌트별

제12장 IoT용 AI 시장 : 용도별

제13장 IoT용 AI 시장 : 디바이스별

제14장 IoT용 AI 시장 : 전개별

제15장 IoT용 AI 시장 : 최종 사용자별

제16장 IoT용 AI 시장 : 지역별

제17장 경쟁 구도

제18장 기업 프로파일

JHS
영문 목차

영문목차

AI in IoT Market is anticipated to expand from $18.6 billion in 2024 to $147.5 billion by 2034, growing at a CAGR of approximately 23%. The market encompasses the integration of artificial intelligence technologies within Internet of Things frameworks, enhancing data processing, decision-making, and automation capabilities. This market focuses on the convergence of smart devices and AI-driven analytics, facilitating real-time insights and operational efficiency. As industries increasingly adopt IoT solutions, AI's role in optimizing performance and predictive maintenance is pivotal, driving demand for advanced algorithms and edge computing solutions.

Market Overview:

The AI in IoT Market is experiencing robust expansion, primarily driven by the integration of AI technologies to enhance IoT capabilities. The industrial IoT segment emerges as the leading market segment due to its transformative impact on manufacturing processes, predictive maintenance, and operational efficiency. This dominance is underpinned by the industry's shift towards Industry 4.0, where AI-driven analytics and automation are pivotal in optimizing production lines and reducing downtime. Emerging sub-segments, such as smart cities and healthcare IoT, are gaining momentum, offering significant potential for growth. Smart city initiatives leverage AI to improve urban infrastructure and services, enhancing sustainability and quality of life. In healthcare, AI in IoT facilitates remote patient monitoring and personalized medicine, improving patient outcomes and operational efficiencies. These sub-segments are poised to reshape their respective domains by harnessing data-driven insights and fostering innovation across the IoT landscape.

Market Segmentation
TypeSoftware, Hardware, Services
ProductSmart Sensors, Actuators, Edge Devices, Gateways
ServicesProfessional Services, Managed Services, Consulting, Integration Services, Support and Maintenance
TechnologyMachine Learning, Deep Learning, Natural Language Processing, Computer Vision
ComponentProcessors, Memory Devices, Connectivity ICs, Sensors
ApplicationPredictive Maintenance, Asset Tracking, Smart Home, Smart Grid, Smart Cities
DeviceWearables, Smart Appliances, Industrial IoT Devices, Connected Vehicles
DeploymentCloud, On-Premises, Hybrid
End UserManufacturing, Healthcare, Automotive, Energy, Retail, Agriculture, Logistics

The AI in IoT market is characterized by a significant inclination towards cloud-based solutions, which dominate the market due to their scalability and cost-effectiveness. On-premise solutions maintain a strong presence, catering to industries with stringent data security requirements. Hybrid models are gaining traction, offering a balanced approach to flexibility and control. The North American region remains at the forefront of AI in IoT adoption, driven by robust technological infrastructure and innovation. Meanwhile, the Asia-Pacific region is witnessing accelerated growth, fueled by substantial investments in smart city initiatives and industrial automation.

The competitive landscape is marked by the strategic maneuvers of key players such as NVIDIA, Intel, and IBM, who are continuously enhancing their offerings through cutting-edge AI advancements. Regulatory frameworks, particularly in North America and Europe, play a pivotal role in shaping market dynamics by establishing standards that drive innovation while ensuring compliance. Looking ahead, the market is poised for robust growth, with AI integration in IoT devices and the proliferation of edge computing leading the charge. Nonetheless, challenges such as cybersecurity risks and the high costs associated with infrastructure deployment continue to pose significant hurdles. However, ongoing advancements in AI and machine learning are expected to unlock new avenues for growth, presenting lucrative opportunities for industry stakeholders.

Geographical Overview:

The AI in IoT market is flourishing globally, with each region exhibiting unique characteristics. North America leads the charge, propelled by robust technological infrastructure and significant investments in AI and IoT integration. The presence of leading tech firms accelerates innovation and adoption rates. Europe follows, characterized by strong regulatory frameworks and a focus on data privacy, which enhances trust and adoption of AI in IoT solutions. In Asia Pacific, the market is experiencing rapid growth. This is driven by technological advancements and substantial investments in smart city initiatives. Countries like China and India are at the forefront, leveraging AI in IoT to optimize urban management and industrial processes. Latin America is emerging as a promising market, with increasing investments in digital transformation and IoT infrastructure. The Middle East & Africa region is recognizing the transformative potential of AI in IoT. Governments and businesses are investing in smart infrastructure to drive economic diversification and innovation. As these regions continue to develop, the AI in IoT market is poised for sustained growth, presenting lucrative opportunities for stakeholders worldwide.

Recent Developments:

In recent months, the AI in IoT market has been buzzing with significant developments. First, IBM has announced a strategic partnership with Siemens to integrate AI capabilities into industrial IoT solutions, aiming to enhance predictive maintenance and operational efficiency. Second, Google Cloud has unveiled its new AI-driven IoT platform, designed to offer seamless integration and advanced analytics for businesses looking to optimize their IoT networks. Third, Amazon Web Services (AWS) has expanded its AI services for IoT applications, introducing a suite of tools to facilitate machine learning on edge devices, thereby reducing latency and improving data processing efficiency. Fourth, in a move to bolster its AI in IoT offerings, Intel has acquired a startup specializing in AI chipsets for IoT devices, signaling its commitment to advancing edge computing capabilities. Lastly, regulatory changes in the European Union now emphasize stricter data privacy measures for AI-enabled IoT devices, prompting companies to adapt their compliance strategies accordingly. These developments underscore the dynamic nature of the AI in IoT sector, highlighting both opportunities and challenges.

Key Companies:

C3 AI, Uptake Technologies, Fog Horn Systems, Arundo Analytics, Maana, Spark Cognition, Altizon Systems, Thingstel, Aeris Communications, Temboo, Augury, Drayson Technologies, Relayr, Zebra Medical Vision, Imagimob, Io Tium, Kaa Io T Technologies, Flutura Decision Sciences and Analytics, Seebo Interactive, Samsara Networks

Trends and Drivers:

The AI in IoT market is experiencing robust expansion, propelled by the convergence of artificial intelligence and the Internet of Things. A key trend is the increasing integration of AI algorithms into IoT devices, enhancing their ability to process data and make autonomous decisions. This amalgamation is driving innovation across industries, from smart homes to industrial automation, by enabling real-time analytics and predictive maintenance. Another significant trend is the proliferation of edge computing in the AIoT landscape. By processing data closer to the source, edge computing reduces latency and enhances the efficiency of IoT systems. This development is crucial for applications requiring immediate responses, such as autonomous vehicles and smart grids. Furthermore, advancements in machine learning are empowering IoT devices with improved pattern recognition capabilities, facilitating more accurate and personalized user experiences. The market is also driven by the growing demand for enhanced security and privacy in IoT networks. AI technologies are being leveraged to detect anomalies and mitigate cyber threats, ensuring the integrity of connected systems. Additionally, the rise of 5G technology is accelerating the deployment of AIoT solutions, offering higher data speeds and connectivity. As businesses increasingly prioritize digital transformation, the AI in IoT market is poised for sustained growth, presenting lucrative opportunities for innovation and investment.

Restraints and Challenges:

The AI in IoT market is confronted with several significant restraints and challenges. A primary challenge is data privacy concerns, as the integration of AI with IoT devices increases the risk of sensitive data exposure. This necessitates robust security measures, which can be costly and complex to implement. Additionally, the lack of standardized protocols across different IoT platforms creates interoperability issues, hindering seamless communication and integration. The high initial investment required for AI-enabled IoT solutions can deter smaller enterprises from adoption. Furthermore, there is a shortage of skilled professionals who possess the expertise to develop and manage AI in IoT systems, leading to a talent gap in the market. Lastly, regulatory hurdles and compliance requirements vary across regions, complicating the deployment of AI in IoT solutions globally. These factors collectively pose substantial challenges to the market's expansion and integration.

Sources:

International Telecommunication Union (ITU), U.S. National Institute of Standards and Technology (NIST), European Commission - Digital Strategy, IEEE Internet of Things Initiative, World Economic Forum - Centre for the Fourth Industrial Revolution, International Data Corporation (IDC) - IoT Research, IoT Solutions World Congress, Consumer Electronics Show (CES), Mobile World Congress (MWC), International Conference on Internet of Things (IoT), International Conference on Artificial Intelligence and Internet of Things (AIoT), IoT Tech Expo, Association for Computing Machinery (ACM) - Special Interest Group on Artificial Intelligence, IEEE Global Internet of Things Summit, International Telecommunication Union (ITU) - AI for Good Global Summit, University of California, Berkeley - Center for Long-Term Cybersecurity, Massachusetts Institute of Technology (MIT) - Internet Policy Research Initiative, Stanford University - Human-Centered Artificial Intelligence (HAI), European Research Cluster on the Internet of Things (IERC), National Science Foundation (NSF) - Cyber-Physical Systems Program

Research Scope:

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1: AI in IoT Market Overview

2: Executive Summary

3: Premium Insights on the Market

4: AI in IoT Market Outlook

5: AI in IoT Market Strategy

6: AI in IoT Market Size

7: AI in IoT Market, by Type

8: AI in IoT Market, by Product

9: AI in IoT Market, by Services

10: AI in IoT Market, by Technology

11: AI in IoT Market, by Component

12: AI in IoT Market, by Application

13: AI in IoT Market, by Device

14: AI in IoT Market, by Deployment

15: AI in IoT Market, by End User

16: AI in IoT Market, by Region

17: Competitive Landscape

18: Company Profiles

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