產業脈動｜AI 驅動的智慧製造：技術發展與未來趨勢

在全球供應鏈重組、勞動力結構轉變與減碳轉型的多重推力下，製造業已逐漸告別「單點自動化」 時代，開始邁入以「AI 驅動的自主化決策」為核心的新賽局。工研院產科國際所持續追蹤國內外產業趨 勢，透過近年日本IREX（國際機器人展）、美國CES（消費性電子展）與德國漢諾威工業展等全球指標 大展，觀察到AI 技術的創新，正全面重新定義智慧工廠的運作邏輯。本文將剖析智慧製造六大領域的技 術發展，並說明目前企業落實的AI 應用，已跳脫單純的火力展示，實質轉化為優化製程、生產、維運與 管理的具體動能。我們也提出未來製造業最具規模化潛力的AI 應用，推論未來能將AI 融入日常生產作業， 並持續累積資料、製程知識與應用經驗的企業，將更有機會建立長期競爭優勢。

Driven by the combined forces of global supply chain restructuring, shifts in labor demographics, and the transition toward decarbonization, the manufacturing sector is gradually leaving behind the era of “single-point automation” and entering a new arena centered on “AI-driven autonomous decision-making.” The Industry, Science and Technology International Strategy Center (ISTI) of ITRI continuously tracks domestic and international industry trends. Through leading global exhibitions in recent years, such as iREX (International Robot Exhibition) in Japan, CES (Consumer Electronics Show) in the United States, and Hannover Messe in Germany, we have observed that innovations in AI technology are fundamentally redefining the operational logic of smart factories. This article will analyze technological developments across six major domains of smart manufacturing. It will illustrate how current AI applications implemented by enterprises have evolved beyond mere technological showcases, transforming into tangible momentum for optimizing processes, production, maintenance, and management. We will also highlight the AI applications with the greatest potential for scalability in the future of manufacturing, concluding that enterprises capable of integrating AI into daily production operations while continuously accumulating data, process knowledge, and application experience will be best positioned to establish long-term competitive advantages.