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市場調查報告書
商品編碼
1743934
AIoT 平台市場 - 全球產業規模、佔有率、趨勢、機會和預測(按產品、垂直產業、地區和競爭細分,2020-2030 年預測)AIoT Platform Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Vertical, By Region, By Competition, 2020-2030F |
2024年,全球AIoT平台市場規模達58.9億美元,預計2030年將達322.9億美元,複合年成長率達32.79%。該市場涵蓋將人工智慧融入物聯網生態系統,從而實現各行各業的智慧即時決策。 AIoT平台能夠無縫收集連網設備資料,並運用機器學習、邊緣運算和即時分析技術來產生切實可行的洞察。這些功能有助於降低營運成本、最大限度地減少停機時間並支援自動化。在5G部署和先進邊緣基礎設施的支援下,連網設備的擴展顯著提升了平台的功能和普及率。各國政府和企業正在投資智慧基礎設施和工業4.0計劃,進一步加速了需求的成長。此外,AIoT平台也被用於提升供應鏈效率、監控能源使用情況以及個人化客戶體驗。隨著技術成本下降和安全性能的提升,這些平台的可擴展性和可近性將進一步增強,從而推動各行業市場的強勁成長。
市場概覽 | |
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預測期 | 2026-2030 |
2024年市場規模 | 58.9億美元 |
2030年市場規模 | 322.9億美元 |
2025-2030 年複合年成長率 | 32.79% |
成長最快的領域 | 金融服務業 |
最大的市場 | 北美洲 |
擴大採用物聯網平台來改善工業運作中的預測性維護
資料隱私和安全問題阻礙廣泛採用
AIoT平台中人工智慧與邊緣運算的融合
The Global AIoT Platform Market was valued at USD 5.89 billion in 2024 and is projected to reach USD 32.29 billion by 2030, growing at a CAGR of 32.79%. This market encompasses the integration of artificial intelligence into IoT ecosystems to enable intelligent, real-time decision-making across various industries. AIoT platforms facilitate seamless data collection from connected devices and apply machine learning, edge computing, and real-time analytics to generate actionable insights. These capabilities help reduce operational costs, minimize downtime, and support automation. The expansion of connected devices, supported by 5G deployment and advanced edge infrastructure, is significantly boosting platform capabilities and adoption. Governments and enterprises are investing in smart infrastructure and Industry 4.0 initiatives, further accelerating demand. Additionally, AIoT platforms are being used to enhance supply chain efficiency, monitor energy usage, and personalize customer experiences. As technology costs decline and security features improve, these platforms are becoming more scalable and accessible, fueling robust market growth across sectors.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 5.89 Billion |
Market Size 2030 | USD 32.29 Billion |
CAGR 2025-2030 | 32.79% |
Fastest Growing Segment | BFSI |
Largest Market | North America |
Key Market Drivers
Increasing Adoption of Artificial Intelligence of Things Platforms to Improve Predictive Maintenance in Industrial Operations
AIoT platforms are revolutionizing industrial maintenance by enabling predictive capabilities that prevent equipment failures and unplanned downtime. Through embedded sensors and real-time data analysis, organizations can monitor machinery health continuously and detect early signs of wear or malfunction. AI algorithms use historical and real-time data to forecast maintenance requirements, allowing for timely interventions and prolonged asset life. This shift from reactive to condition-based maintenance leads to improved productivity and operational efficiency in industries such as manufacturing, transportation, and energy. Remote monitoring enabled by AIoT also allows better oversight of facilities across wide geographic areas. With the ability to autonomously adjust operational parameters and issue alerts, AIoT systems reduce manual inspections and improve workplace safety. As companies seek to enhance their resilience and competitiveness, the implementation of AIoT-based predictive maintenance is becoming a strategic priority. For example, an automotive plant reported a 30% drop in unplanned downtime within the first year of deploying AIoT solutions.
Key Market Challenges
Data Privacy and Security Concerns Hindering Widespread Adoption
The large-scale integration of AIoT platforms brings with it substantial data security and privacy challenges. As connected devices generate and transmit vast amounts of data across networks and cloud environments, vulnerabilities to cyberattacks and data breaches increase. This is particularly critical in highly regulated sectors like healthcare, finance, and infrastructure, where breaches can cause severe damage. Compliance with international and regional data protection laws complicates implementation, especially in cross-border operations. The growing sophistication of cyber threats demands constant upgrades to detection systems, encryption protocols, and response strategies. Achieving a balance between system interoperability and robust security is a persistent hurdle. Moreover, uncertainty around data ownership and sovereignty discourages collaboration and slows innovation. Without unified standards and enhanced cybersecurity frameworks, these concerns may hinder the broader adoption and scalability of AIoT platforms across industries.
Key Market Trends
Convergence of Artificial Intelligence and Edge Computing in AIoT Platforms
The integration of AI with edge computing is a major trend reshaping the AIoT Platform Market. This convergence allows real-time data analysis at or near the source-within devices and sensors-reducing reliance on centralized cloud systems. Such low-latency processing is critical in applications like autonomous vehicles, industrial robotics, and smart urban infrastructure. Edge-based AI enhances responsiveness, improves security by limiting data transmission, and lowers bandwidth costs. As industries prioritize real-time decision-making and localized intelligence, hybrid AIoT architectures that combine edge and cloud computing are gaining traction. This trend is driving advancements in compact, high-performance hardware and efficient, lightweight AI algorithms tailored for edge environments. The growing demand for edge-enabled platforms is promoting innovation and scalability, positioning edge AI as a cornerstone of next-generation AIoT development.
In this report, the Global AIoT Platform 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 Platform Market.
Global AIoT Platform 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: