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市场调查报告书
商品编码
1743798
AIoT 市场 - 全球产业规模、份额、趋势、机会和预测(按技术、按平台、按地区和竞争,2020-2030 年)AIoT Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Technology, By Platform, By Region & Competition, 2020-2030F |
2024 年全球 AIoT 市值为 178.1 亿美元,预计到 2030 年将激增至 709.9 亿美元,复合年增长率为 25.92%。 AIoT 是人工智慧与物联网的融合,它透过实现即时决策、自动化和智慧优化,正在彻底改变各行各业。透过将机器学习、资料分析和边缘运算与基于感测器的装置相结合,AIoT 促进了可动态调整和回应的自主系统,从而提高了效率、个人化和安全性。製造业、医疗保健、物流、农业和能源等关键产业正在利用 AIoT 进行预测性维护和加强资产管理。智慧感测器、5G 网路和边缘运算的普及,以及政府对智慧城市和数位基础设施的支持倡议,正在进一步推动市场成长。消费者对智慧家庭、穿戴式装置和行动解决方案的需求,加上可扩展的人工智慧平台,正在加速其应用。随着策略投资和合作伙伴关係塑造竞争格局,AIoT 预计将持续全球扩张,推动创新、永续发展和经济竞争力。
市场概览 | |
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预测期 | 2026-2030 |
2024年市场规模 | 178.1亿美元 |
2030年市场规模 | 709.9亿美元 |
2025-2030 年复合年增长率 | 25.92% |
成长最快的领域 | 物联网设备管理 |
最大的市场 | 北美洲 |
工业自动化和智慧製造的普及率不断提高
资料安全和隐私问题
边缘运算在 AIoT 解决方案的应用日益增多
The Global AIoT Market, valued at USD 17.81 billion in 2024, is projected to surge to USD 70.99 billion by 2030, registering a CAGR of 25.92%. AIoT, the convergence of artificial intelligence and the Internet of Things, is revolutionizing industries by enabling real-time decision-making, automation, and intelligent optimization. By integrating machine learning, data analytics, and edge computing with sensor-based devices, AIoT facilitates autonomous systems that adapt and respond dynamically, boosting efficiency, personalization, and safety. Key sectors such as manufacturing, healthcare, logistics, agriculture, and energy are leveraging AIoT for predictive maintenance and enhanced asset management. The proliferation of smart sensors, 5G networks, and edge computing, along with supportive government initiatives for smart cities and digital infrastructure, are further propelling market growth. Consumer-driven demand for smart homes, wearables, and mobility solutions, combined with scalable AI platforms, is accelerating adoption. As strategic investments and partnerships shape the competitive landscape, AIoT is poised for sustained global expansion, driving innovation, sustainability, and economic competitiveness.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 17.81 Billion |
Market Size 2030 | USD 70.99 Billion |
CAGR 2025-2030 | 25.92% |
Fastest Growing Segment | IoT Device Management |
Largest Market | North America |
Key Market Drivers
Increasing Adoption of Industrial Automation and Smart Manufacturing
The integration of AI and IoT is redefining industrial automation by streamlining manufacturing processes worldwide. Industries are implementing AIoT to boost productivity, reduce downtime, and improve product quality. Real-time data from machines enables predictive maintenance, reducing operational disruptions. AIoT optimizes production by detecting inefficiencies and autonomously adjusting operations. This aligns with the global shift toward Industry 4.0, fostering smart, data-driven manufacturing environments. Both large corporations and SMEs are adopting AIoT for greater competitiveness and sustainability. Government support through funding and infrastructure development is accelerating this trend. Additionally, AIoT-powered robots and vehicles enhance safety and flexibility on production floors. Falling costs of sensors and AI tools are making adoption easier across sectors. AIoT's growing role in operational excellence is evident, with predictive maintenance reducing equipment downtime by up to 40% and saving approximately 15% in annual operational costs.
Key Market Challenges
Data Security and Privacy Concerns
The rapid expansion of the Global AIoT Market has amplified concerns about data privacy and security, potentially hindering widespread adoption. AIoT systems continuously gather and process large volumes of sensitive data, making them prime targets for cyber threats and unauthorized access. These vulnerabilities heighten hesitancy among users, particularly in sectors like healthcare and smart infrastructure. Additionally, the scale and complexity of AIoT networks challenge the implementation of consistent and robust security protocols. Weak security measures can result in data loss and damage to stakeholder trust. Regulatory frameworks like GDPR and CCPA demand strict compliance, posing financial and operational challenges, especially for smaller firms. Maintaining a balance between regulatory adherence and innovative growth is complex, as AIoT systems need access to both personal and operational data. Adapting to evolving legal landscapes requires agile security strategies. Effective encryption, advanced authentication, and transparent privacy policies are essential for the long-term success of the AIoT ecosystem.
Key Market Trends
Increased Adoption of Edge Computing in AIoT Solutions
A major trend influencing the Global AIoT Market is the rapid adoption of edge computing, which processes data closer to its source-at the device level-significantly lowering latency and bandwidth demands. This is especially critical for applications requiring real-time responsiveness, such as autonomous systems and smart medical devices. Edge computing enhances efficiency, lowers transmission costs, and bolsters data privacy by reducing dependency on cloud infrastructure. Integrating AI at the edge enables devices to analyze data locally, supporting a decentralized and scalable approach to AIoT. With ongoing improvements in hardware affordability and performance, more organizations are implementing hybrid models that blend edge and cloud computing. This evolution caters to the global demand for faster, smarter, and more secure AIoT solutions, solidifying edge computing's role as a key pillar in the next generation of AIoT innovation.
In this report, the Global AIoT Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global AIoT Market.
Global AIoT 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: