![]() |
½ÃÀ庸°í¼
»óǰÄÚµå
1796617
AIoT(Artificial Intelligence of Things) ½ÃÀå ±Ô¸ð, Á¡À¯À², ¼ºÀå ºÐ¼® : ÄÄÆ÷³ÍÆ®º°, ¿ëµµº°, ÃÖÁ¾ ¿ëµµº°, Áö¿ªº° - »ê¾÷ ¿¹Ãø(2025-2032³â)Artificial Intelligence of Things (AIoT) Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Application (Video Surveillance, Inventory Management), By End Use, By Region - Industry Forecast 2025-2032 |
¼¼°èÀÇ AIoT(Artificial Intelligence of Things) ½ÃÀå ±Ô¸ð´Â 2023³â¿¡ 180¾ï 1,000¸¸ ´Þ·¯·Î Æò°¡µÇ¸ç, 2024³â¿¡´Â 227¾ï 3,000¸¸ ´Þ·¯, 2032³â¿¡´Â 1,462¾ï 3,000¸¸ ´Þ·¯·Î ¼ºÀåÇϸç, ¿¹Ãø ±â°£(2025-2032³â)ÀÇ CAGRÀº 26.2%·Î ¼ºÀåÇÒ Àü¸ÁÀÔ´Ï´Ù.
ÀΰøÁö´É »ç¹°ÀÎÅͳÝ(AIoT) ¼¼°è ½ÃÀåÀº Á¦Á¶, ÇコÄɾî, ¼Ò¸Å, ¹°·ù µî ´Ù¾çÇÑ ºÐ¾ß¿¡¼ ½º¸¶Æ® ÀÚµ¿È¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¿¡ ÈûÀÔ¾î ¼ºÀåÇϰí ÀÖ½À´Ï´Ù. Á¶Á÷Àº AIoT¸¦ Ȱ¿ëÇÏ¿© AIÀÇ ºÐ¼® ´É·Â°ú IoTÀÇ ½Ç½Ã°£ µ¥ÀÌÅÍ ¼öÁýÀ» À¶ÇÕÇÏ¿© ¾÷¹«¸¦ ÃÖÀûÈÇÏ°í »ý»ê¼ºÀ» ³ôÀ̰í ÀÖ½À´Ï´Ù. ÀÌ ±â¼úÀº ¿¹Áöº¸Àü ¹× °ø±Þ¸Á °ü¸®¿Í °°Àº º¹ÀâÇÑ ÇÁ·Î¼¼½º¸¦ °£¼ÒÈÇÏ¿© ¿À·ù¸¦ ÃÖ¼ÒÈÇϰí È¿À²¼ºÀ» ³ôÀÔ´Ï´Ù. ¿§Áö ÄÄÇ»ÆÃÀº µ¥ÀÌÅÍ ¹ß»ýÁö¿Í °¡±î¿î °÷¿¡¼ Áï°¢ÀûÀÎ µ¥ÀÌÅÍ Ã³¸®¸¦ °¡´ÉÇÏ°Ô ÇÔÀ¸·Î½á ´ë±â ½Ã°£À» ´ÜÃàÇϰí ÇÁ¶óÀ̹ö½Ã¸¦ Çâ»ó½ÃÄÑ AIoT µµÀÔÀ» ´õ¿í °¡¼ÓÈÇÒ °ÍÀÔ´Ï´Ù. Áö´ÉÇü AI ¾Ë°í¸®ÁòÀÌ ¿¹Áöº¸ÀüÀ» °ÈÇÏ°í ¿î¿µÀÇ ÀûÀÀ¼ºÀ» ÃËÁøÇÏ´Â µî AIoT°¡ ´Ù¾çÇÑ ¿ëµµ¿¡¼ AIoTÀÇ Çõ½Å °¡´É¼ºÀ» ÀÔÁõÇÏ¸é¼ ½ÃÀåÀÇ °ü½É°ú ÅõÀÚ°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù.
Global Artificial Intelligence of Things Market size was valued at USD 18.01 Billion in 2023 poised to grow between USD 22.73 Billion in 2024 to USD 146.23 Billion by 2032, growing at a CAGR of 26.2% in the forecast period (2025-2032).
The Global Artificial Intelligence of Things (AIoT) market is being propelled by the growing demand for smart automation across various sectors including manufacturing, healthcare, retail, and logistics. Organizations are utilizing AIoT to optimize operations and boost productivity through the fusion of AI's analytical capabilities and IoT's real-time data gathering. This technology streamlines complex processes like predictive maintenance and supply chain management, thereby minimizing errors and enhancing efficiency. Edge computing further accelerates AIoT adoption by enabling immediate data processing close to its source, which lowers latency and improves privacy. With intelligent AI algorithms enhancing predictive maintenance and driving operational adaptability, the market is witnessing increased interest and investment, demonstrating the transformative potential of AIoT in diverse applications.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence of Things 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.
Global Artificial Intelligence of Things Market Segments Analysis
The global Artificial Intelligence of Things Market is segmented based on component, application, end use, and region. In terms of components, the market is trifurcated into hardware, software, and services. Based on application, the market is grouped into video surveillance, inventory management, predictive maintenance, supply chain management, and others. Based on End Use, the market is segmented into B2B, B2G, and B2C. Based on region, the market is segmented into North America, Europe, Asia-Pacific, Central & South America and the Middle East & Africa.
Driver of the Global Artificial Intelligence of Things Market
One key market driver for the Global Artificial Intelligence of Things (AIoT) market is the increasing demand for intelligent automation across various sectors. As organizations seek to enhance operational efficiency and reduce costs, integrating AI capabilities into IoT devices becomes critical. This convergence allows for real-time data analytics, predictive maintenance, and improved decision-making processes, thereby enabling businesses to respond swiftly to market changes. Additionally, the proliferation of advanced connectivity technologies, such as 5G, further accelerates the adoption of AIoT solutions, as they provide the necessary bandwidth and lower latency required for seamless communication between devices, driving innovation and competitive advantage.
Restraints in the Global Artificial Intelligence of Things Market
One significant market restraint for the Global Artificial Intelligence of Things (AIoT) market is the growing concerns over data privacy and security. As AIoT systems increasingly rely on vast amounts of data collected from various devices, the risk of data breaches and misuse of personal information escalates. Regulatory compliance and the implementation of stringent data protection laws can impose additional burdens on companies, potentially stifling innovation and slowing market growth. Furthermore, heightened consumer awareness regarding data privacy issues may deter some users from adopting AIoT technologies, thereby limiting the overall expansion of the market in various sectors.
Market Trends of the Global Artificial Intelligence of Things Market
The Global Artificial Intelligence of Things (AIoT) market is experiencing a significant trend towards the adoption of Edge AIoT, which facilitates real-time data processing at the device level. This approach minimizes latency and enhances system responsiveness, making it particularly beneficial for industries that rely on immediate decision-making, like autonomous vehicles, industrial automation, and healthcare. The integration of AI at the edge empowers devices to act swiftly on data insights, thereby optimizing safety and operational performance. As demand for faster, more efficient data processing intensifies, Edge AIoT is poised to become a cornerstone of intelligent and connected ecosystems.