![]() |
市场调查报告书
商品编码
1687599
物联网人工智慧市场规模、份额及成长分析(按组件、技术、部署、应用、垂直领域和地区)-2025 年至 2032 年产业预测Artificial Intelligence of Things Market Size, Share, and Growth Analysis, By Component, By Technology, By Deployment, By Application, By Vertical, By Region - Industry Forecast 2025-2032 |
预计物联网人工智慧 (AIoT) 市场规模将在 2023 年达到 180.1 亿美元,并从 2024 年的 227.3 亿美元增长到 2032 年的 1462.3 亿美元,预测期内(2025-2032 年)的复合年增长率为 26.2%。
人工智慧 (AI) 与物联网 (IoT) 的整合正在改变各行各业,包括製造业、交通运输业、医疗保健业和智慧家庭。这种 AIoT协同效应使设备能够连接到互联网,从而促进资料收集并利用学习和推理能力。随着企业寻求提高效率和资料主导的洞察力,对 AIoT 解决方案的需求正在激增。这些技术不仅增强了消费者体验,还简化了业务、降低了成本并提供了竞争优势。运算能力和演算法的重大进步将推动市场进一步成长,促进各行业的现代化和业务改进。随着 AIoT 不断发展并融入业务流程,相关人员可以期待巨大的商机。
Artificial Intelligence of Things (AIoT) Market size was valued at USD 18.01 billion in 2023 and is poised to grow from USD 22.73 billion in 2024 to USD 146.23 billion by 2032, growing at a CAGR of 26.2% during the forecast period (2025-2032).
The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is transforming manufacturing and various industries like transportation, healthcare, and smart homes. This AIoT synergy enables devices to connect to the internet, facilitating data collection and harnessing learning and reasoning capabilities. As businesses seek increased efficiency and data-driven insights, the demand for AIoT solutions is surging. These technologies not only enhance consumer experience but also streamline operations, reduce costs, and offer a competitive edge. With significant advances in computing power and algorithms, the market is primed for further growth, driving modernization and operational improvements across sectors. Stakeholders can expect robust opportunities as AIoT continues to evolve and integrate into business processes.
Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence Of Things (AIoT) market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Artificial Intelligence Of Things (AIoT) Market Segments Analysis
Global Artificial Intelligence of Things (AIoT) Market is segmented by Component, Technology, Deployment, Application, Vertical and region. Based on Component, the market is segmented into Platforms, Solutions and Services. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision and Context Aware Artificial Intelligence. Based on Deployment, the market is segmented into Cloud and On-Premises. Based on Application, the market is segmented into Video Surveillance, Inventory Management, Predictive Maintenance, Supply Chain Management and Others. Based on Vertical, the market is segmented into Retail, Consumer Electronics, Agriculture, Logistics, BFSI, Automotive, Healthcare, Manufacturing and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Artificial Intelligence Of Things (AIoT) Market
The Artificial Intelligence of Things (AIoT) market is significantly transforming digital living environments and fostering the development of sustainable communities. This transformation has resulted in a heightened demand for eco-friendly energy and water usage within smart cities, thereby fueling market expansion. AIoT solutions facilitate automated planning and enhance intelligent decision-making processes, which in turn boost overall productivity. As a result, the integration of AIoT technologies is pivotal in promoting sustainability and efficiency, making it a key driver for growth within the market as societies increasingly prioritize smart and responsible resource management.
Restraints in the Artificial Intelligence Of Things (AIoT) Market
The integration of Artificial Intelligence with Internet of Things devices presents significant security and privacy challenges. AIoT systems are designed to gather and analyze extensive amounts of data, encompassing both personal and sensitive information. Addressing data privacy issues, safeguarding against unauthorized access, and maintaining the overall security of AIoT networks are critical hurdles that the market must overcome. These concerns not only affect consumer confidence but also pose regulatory challenges, potentially hindering market growth and adoption. As such, ensuring robust security measures and effective privacy protocols will be essential in fostering trust and advancing the AIoT market.
Market Trends of the Artificial Intelligence Of Things (AIoT) Market
The Artificial Intelligence of Things (AIoT) market is experiencing a significant trend towards increased technological automation and robotics, which is reshaping industries such as manufacturing and logistics. AIoT empowers robots to communicate and collaborate effectively, adapting to dynamic environments with minimal human oversight. This transformation is driven by the integration of IoT devices that gather real-time data on operational variables, enabling AI algorithms to analyze this information and enhance decision-making. As a result, smart robots are becoming adept at performing complex tasks efficiently, fostering greater productivity and operational flexibility. This convergence of AI and IoT is poised to fuel demand for intelligent automation solutions, positioning AIoT as a pivotal force in the future of industrial innovation.