隨著全球數位轉型的加速，智慧物聯網（IoT）技術已成為推動經濟和社會創新的關鍵力量，而人工智慧（AI）的快速發展進一步增強了這些系統的智慧化應用。特別是在智慧城市、智慧醫療和智慧農業這三個領域，AI技術的應用顯著提升了系統的效能和應用範圍。AI通過數據分析、機器學習和自動化技術，增進IoT在這些領域的應用。在亞太地區，由於經濟多樣性、技術發展速度及政策支持各不相同，智慧物聯網的應用展現出獨特的發展模式和面臨的挑戰。這些挑戰不僅涉及技術層面，也影響著各國政策制定、經濟結構調整以及社會文化的接受程度。
本研究結合文獻回顧和深入訪談，以獲得對智慧物聯網技術趨勢、發展特點及應用案例的全面分析。透過與智慧物聯網產學研專家討論與參考代表性產業案例，本研究探討亞太區智慧物聯網的主要應用領域及其發展機會以及所面臨的限制因素，並進行台灣物聯網產業的SWOT分析。另外針對智慧城市、智慧醫療、智慧農業，藉由參考亞太區AIoT的優良案例，研究中應用商業模式圖(BMC)以探討台灣物聯網業具體的發展契機和政策建議。

Internet of Things (IoT) technology has become a driver of modern economic and social innovation. The trend of Artificial Intelligence (AI) further strengthens the impact of IoT across various domains. Considering smart cities, smart healthcare, and smart agriculture, smart IoT technology, through the integration of data analysis, machine learning, and automation, significantly enhances the performance and applications of these sectors. The development of smart IoT in the Asia-Pacific region, which is the fast growing, shows diverse business models and challenges across different countries. Challenges in various countries include uneven technological advancements, varied policy support, and different levels of social and cultural acceptance.
The main purpose of this study aims to explore the opportunities and risks for the development of smart IoT (AIoT) industry in Taiwan and provide strategic recommendations. Through literature review and in-depth interviews, this research comprehensively analyzes the current status and development opportunities of smart IoT applications in Asia Pacific region. A SWOT analysis was conducted to identify the opportunities and challenges for Taiwan in the global IoT ecosystem. By the comparative study of the AIoT cases in the Asia-Pacific region with Taiwan’s case, this study applies a BMC (Biz Model Canvas) model to propose strategies and policy recommendations in the three major areas - smart cities, smart healthcare, and smart agriculture. Results of this research could enhance the long-term development of smart IoT industry in Taiwan.

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