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市場調查報告書
商品編碼
1743798
AIoT 市場 - 全球產業規模、佔有率、趨勢、機會和預測(按技術、按平台、按地區和競爭,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 市值為 178.1 億美元,預計到 2030 年將激增至 709.9 億美元,複合年成長率為 25.92%。 AIoT 是人工智慧與物聯網的融合,它透過實現即時決策、自動化和智慧最佳化,正在徹底改變各行各業。透過將機器學習、資料分析和邊緣運算與基於感測器的裝置相結合,AIoT 促進了可動態調整和回應的自主系統,從而提高了效率、個人化和安全性。製造業、醫療保健、物流、農業和能源等關鍵產業正在利用 AIoT 進行預測性維護和加強資產管理。智慧感測器、5G 網路和邊緣運算的普及,以及政府對智慧城市和數位基礎設施的支持舉措,正在進一步推動市場成長。消費者對智慧家庭、穿戴式裝置和行動解決方案的需求,加上可擴展的人工智慧平台,正在加速其應用。隨著策略投資和合作夥伴關係塑造競爭格局,AIoT 預計將持續全球擴張,推動創新、永續發展和經濟競爭力。
市場概覽 | |
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預測期 | 2026-2030 |
2024年市場規模 | 178.1億美元 |
2030年市場規模 | 709.9億美元 |
2025-2030 年複合年成長率 | 25.92% |
成長最快的領域 | 物聯網設備管理 |
最大的市場 | 北美洲 |
工業自動化和智慧製造的普及率不斷提高
資料安全和隱私問題
邊緣運算在 AIoT 解決方案的應用日益增多
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: