智慧工廠市場報告：2030 年趨勢、預測與競爭分析

智慧工廠趨勢和預測

預計到 2030 年，全球智慧工廠市場將達到 2,157 億美元，2024 年至 2030 年複合年成長率為 9.5%。該市場的主要促進因素是工業機器人需求的不斷成長以及工業市場中物聯網和人工智慧的日益採用。全球智慧工廠市場的未來前景廣闊，汽車、半導體、石油和天然氣、化學、製藥、航太和國防、食品和飲料以及採礦市場都有機遇。

根據Lucintel的預測，由於半導體、汽車以及食品和飲料行業的需求不斷成長，可程式邏輯控制器預計將在預測期內實現最高成長。

由於對複雜且要求嚴格的製造流程的需求不斷增加，預計汽車行業仍將是市場上最大的細分市場。

由於經濟快速成長、都市化不斷提高以及對電子商務平台的需求不斷成長，亞太地區仍然是最大的地區。

智慧工廠市場新趨勢

由於技術新模式和工業實踐的變化，智慧工廠市場正在經歷重大變革時期。這些趨勢包括重新設計工廠的運作方式和提高效率，同時實現更高的功能。因此，了解這些關鍵趨勢將預示智慧工廠市場的未來方向、創新和成長路徑。

• 人工智慧（AI）整合：人工智慧正逐漸融入智慧工廠，以增強決策和自動化。這種整合使得更智慧的製造系統能夠自我最佳化並解決即時問題。人工智慧演算法分析製造過程中的大量資料，以最佳化營運、預測設備故障並提高產品品質。此外，人工智慧可以促進預測性維護，延長機器壽命並減少停機時間。這樣，人工智慧在智慧工廠的運用，正在讓傳統製造變得更智慧、更快捷、更有效率。
• 擴大物聯網和連接性：物聯網 (IoT) 透過連接機械感測器和設備進行資料收集，在智慧工廠的發展中發揮關鍵作用。這種連接性可以即時監控和控制生產過程，從而提高效率並最終降低營運成本。該技術促進製造系統內各個組件之間的無縫通訊，從而提高製造系統的可見度和控制力。除了物聯網之外，連接的前沿也在不斷擴展，從而帶來了更整合和響應更快的製造環境。
• 採用機器人技術和自動化：智慧工廠的概念是提高生產力精度。工業機器人的數量不斷增加，協作機器人（cobot）和自動化系統也在工業中迅速普及。該技術有助於自動執行重複任務、提高準確性並減少人為錯誤。機器人技術的進步進一步推動了智慧工廠自動化的採用，例如靈活且適應性強的機器人。機器人技術和自動化的整合使製造營運更加高效、擴充性且適應性強。
• 強調資料分析數位雙胞胎：智慧工廠運作越來越依賴數位孿生和資料分析。與實體資產相比，數位雙胞胎可以在實際生產之前進行模擬，從而可以對製造流程等事物進行即時分析。資料分析透過從物聯網設備資料集獲得的可行見解來最佳化效能，從而實現預測性維護。透過將數位孿生與高階分析相結合來執行場景測試並做出資料主導的決策，製造商可以實現更有效率、更有效的營運。這一趨勢將增強複雜製造系統的管理最佳化。
• 專注於永續性和能源效率：永續性和能源效率是智慧工廠市場的主要驅動力之一。這包括製造商採用技術來減少能源消耗、最大限度地減少廢棄物和減少對環境的影響。智慧工廠配備節能設備，最佳化資源利用，同時整合再生能源來源。監管要求以及消費者對綠色商業實踐日益成長的需求正在推動人們對永續性的關注。永續的未來不僅涉及降低成本，還涉及提高能源效率，這些智慧工廠也正在為此目標做出貢獻。

人工智慧的結合、物聯網的擴展、機器人的採用、巨量資料分析，尤其是永續性等產業趨勢正在改變智慧工廠市場。這些方向促進性能改進，同時創造適應性強的製造環境。這些趨勢隨著時間的推移而不斷變化，對於塑造先進製造業的下一階段並提供新的成長和擴張途徑至關重要。

智慧工廠市場的最新趨勢

以下智慧工廠市場的最新趨勢表明，由於技術進步、不斷變化的行業需求和法規，製造技術和實踐正在快速發展。這包括自動化創新、整合進階分析、物聯網 (IoT) 的廣泛使用，以及在敏銳的網路安全眼中採用永續實踐。這解釋了該行業如何發展和應對新挑戰。

• 自動化創新：與自動化相關的最新變化凸顯了當今智慧工廠市場正在發生的變化。機器人技術正在透過開發協作機器人（cobot）和靈活的自動化系統來提高生產能力。機器學習和人工智慧 (AI) 的進步使自動化技術變得更加複雜、適應性強和精確。這提高了效率，降低了人事費用，並提高了產品品質。自動化技術的不斷發展，讓傳統製造變得更智慧、更敏捷。
• 高級分析整合：高級分析整合是智慧工廠行業的遊戲規則改變者，因為它提供了對製造過程的更多可見性。資料分析平台支援即時生產資料的監控和分析，從而能夠做出明智的決策以最佳化營運。巨量資料分析和人工智慧 (AI) 演算法可以預測設備停機時間、最佳化供應鏈並提高生產力。這一發展將使智慧工廠能夠透過提供從資料中得出的可操作的見解來有效地協調複雜的活動。
• 物聯網和連接性的擴展：由於物聯網（IoT）和連接性的擴展，智慧工廠市場的規模正在擴大。在這種情況下，廣泛採用結合物聯網設備的機械過程監控，從而可以完全控制整個系統。機器之間無縫通訊，提升可見度和回應能力。這促進了製造工廠之間的互連，並透過即時資訊使它們變得智慧，從而有助於提高性能水平。
• 採用永續實踐：智慧工廠的發展正在導致永續實踐的採用。製造商在整個營運過程中更加重視節能、減少廢棄物和綠色技術。當今流行的節能機器、廢棄物管理系統和再生能源來源的使用呈現成長趨勢。這一趨勢與環境責任的增加有關，這是由監管和客戶對製造業永續性的需求所推動的。目前對永續性的關注正在改變生產流程，從而創造一個更環保的產業。
• 關注網路安全：安全挑戰日益成為智慧工廠之間連結的代名詞。最近，很明顯，最新的技術進步使得透過使用先進的網路安全措施來保護製造系統免受網路攻擊成為可能。鑑於與智慧工廠網路相關的網路攻擊的複雜性和數量的增加，需要強大的安全通訊協定和技術。為了保護業務，該公司正在投資網路安全解決方案，例如加密、存取控制和威脅偵測系統（來源）。因此，這項發展將確保智慧製造系統的完整性和安全性。

智慧工廠市場的最新趨勢，即自動化創新、分析與機器的更多整合、物聯網的增加、永續實踐的採用以及安全問題正在推動該行業發生重大變化。這些改進將帶來更高的效率和更好的產品，以及市場動態帶來的新挑戰（資料來源）。該行業的進一步變化將在很大程度上取決於這些趨勢在透過創新實現成長的道路上的成熟。

智慧工廠市場的策略性成長機會

由於技術進步正在改變工業需求和全球趨勢，智慧工廠市場擁有多個戰略成長機會。特別是自動化、資料分析、物聯網、永續性和網路安全是前景廣闊的關鍵領域。透過關注這些關鍵的成長機會，公司可以增加其市場佔有率並利用新興趨勢。識別和利用這些機會對於推動不斷發展的智慧工廠的創新和成功至關重要。

• 自動化和機器人技術：自動化和機器人技術的前景是智慧工廠的關鍵驅動力之一。提高製造流程的效率是協作機器人和自適應自動化系統等機器人技術發展的結果。透過自動化重複任務、提高準確性，甚至降低人事費用，這些策略為公司提供了寶貴的成長機會。投資機器人和自動化解決方案可以使您的生產環境更具擴充性和適應性，從而使您比競爭對手更具優勢。
• 資料分析與數位孿生：在智慧工廠市場，由資料分析驅動的數位孿生具有巨大的成長潛力。製造商可以使用數位雙胞胎（產品的虛擬模型）來模擬製造流程的即時最佳化。來自分析平台的生產資料可以幫助預測維護需求並做出提高效能的即時決策。這些功能使企業能夠透過採用高階分析來提高業務效率，從而根據巨量資料處理平台收集的見解實現更有效率的決策流程。
• 物聯網和連接：物聯網和連接的成長為智慧工廠的擴張提供了重要的機會。透過使用物聯網等設備，可以即時監控和管理製造過程。提供互聯基礎設施和物聯網 (IoT) 解決方案的公司可以從人們對網路化製造環境日益成長的偏好中受益。整合物聯網技術對於創建具有高銷售潛力的智慧、反應迅速的製造系統是必要的。
• 永續製造：對永續製造實踐的關注正在推動智慧工廠市場向前發展。節能技術和減少廢棄物的解決方案變得越來越重要。開發此類計劃可以為這些公司帶來競爭優勢，同時滿足監管要求並吸引具有環保意識的客戶。對永續性的關注也為節能設備和廢棄物減少系統的創新提供了機會。
• 網路安全解決方案：隨著智慧工廠的互聯程度越來越高，網路安全措施需要加強。制定先進的網路安全策略來保護生產系統免受網路威脅是一個巨大的成長機會。客戶將青睞提供加密、存取控制和威脅偵測系統等網路安全選項的公司，以解決對資料保護和系統完整性日益成長的擔憂。投資此類解決方案不僅是為了確保智慧製造環境的安全，也是為了確保工廠內的彈性運作。

智慧工廠市場的策略性成長機會，例如自動化和機器人、資料分析數位雙胞胎、物聯網和連接、永續製造和網路安全解決方案，為創新和擴張提供了廣闊的前景。透過專注於這些核心應用，公司可以提高市場佔有率、加速技術進步並利用新趨勢。這一未來趨勢將鼓勵這一不斷發展、具有巨大成長潛力的行業格局的進一步發展。

智慧工廠市場的促進因素與挑戰

智慧工廠市場的成長和開拓受到各種促進因素​​和挑戰的推動。市場動態是由技術進步、經濟狀況和監管因素決定的。深入了解這些促進因素和挑戰可以幫助確定推動智慧工廠解決方案採用的因素以及公司有阻礙因素。這將有助於解決智慧工廠行業的問題並發現機會。

推動智慧工廠市場的因素包括：

1.技術進步：這顯示技術進步也是智慧工廠市場的關鍵促進因素。透過自動化、連網型系統和物聯網的發展，傳統製造流程正在轉變為智慧互聯系統。這些改進提高了生產過程的效率、提高了產品品質並提高了營運靈活性。因此，技術不斷發展，導致智慧工廠的採用並創造新的成長機會。透過利用技術進步，公司可以將自己定位為智慧工廠市場的領導者。

2. 對效率和生產力的需求不斷增加：因此，製造業等產業對有效利用資源的需求不斷增加，從而導致智慧工廠的採用增加。製造商正在尋找簡化營運、降低成本和改善生產成果的方法。智慧工廠提供自動化流程來滿足這些需求，包括即時監控。市場驅動力透過利用此驅動力所採用的技術，提高企業營運環境中的生產力和業務效率，同時實現業務目標，從而實現各部門的成長，並有助於廣泛傳播。

3.工業4.0措施：工業4.0舉措是推動該產業成長的關鍵因素，旨在將數位技術融入製造流程。重點開發智慧互聯製造系統，符合工業 4.0 原則，例如自動化 (A)、資料交換 (D) 和網路物理系統 (CPS)。此外，政府、行業協會和公司正在投資工業 4.0 計劃，以提高製造能力和競爭力。因此，這些舉措顯著加速了智慧工廠解決方案的採用並塑造了製造業的未來。

4. 專注於資料主導決策：最後，還有向資料主導決策的轉變，這是智慧工廠市場的關鍵驅動力。它使製造商能夠透過即時資訊和高級分析做出更明智的決策。從智慧工廠內的物聯網設備、感測器和其他資訊來源收集資訊的目的不僅是為了預測維護需求，也是為了了解如何改善生產流程並提高效能。因此，對資料主導決策的重視正在推動許多公司採用智慧工廠技術，使他們能夠控制複雜的操作。

5. 監管支持和獎勵：除了促進企業技術現代化之外，監管支持和獎勵也正在影響智慧工廠市場。這些政策包括技術購買的研究津貼金和基於創新的法規結構。因此，監管支持和獎勵的提供正在刺激對智慧工廠技術的投資，從而導致擴張。

智慧工廠市場面臨的挑戰如下：

1.實施成本高：智慧工廠市場面臨實施成本高的問題。例如，先進技術、自動化系統和基礎設施可能需要大量初始資本。中小企業 (SME) 面臨的財務約束可能會阻礙其實施智慧工廠解決方案的能力。因此，公司必須仔細評估投資報酬率並考慮具有成本效益的方法來解決這些問題。因此，解決高實施成本以及智慧工廠市場滲透和成長的需求非常重要。

2. 與舊有系統整合：將智慧工廠技術與現有舊有系統整合是很困難的。這意味著一些工廠依賴過時的軟體，無法跟上最新的技術進步。此外，將現代解決方案整合到舊基礎設施中可能會導致技術困難和成本增加。為了解決這一障礙，企業需要無縫整合規劃和分階段部​​署策略。克服整合挑戰對於利用智慧工廠技術的優勢至關重要。

3.網路安全問題：智慧工廠市場的主要挑戰之一是網路安全問題。隨著製造系統變得更加互聯和資料驅動，它們變得更容易受到駭客攻擊和資料外洩。因此，維護網路安全需要實施適當的安全措施，並對可能的外部風險和公司系統邊界的內部破壞保持警惕，需要對加密平台進行投資，並結合威脅檢測機制以及旨在確保內部操作完整性的其他保護方法。為了保護這些數位工作場所免受駭客攻擊，必須採取強力的安全措施。 SMES 永遠不能說採取了足夠的預防措施，因此需要先進的加密程序以及嚴格的存取控制，甚至貿易夥伴也必須透過安全 VPN 提供安全連線。

智慧工廠市場的成長和開拓受到各種促進因素​​和挑戰的影響。技術進步、對效率的關注、旨在擁抱以資料主導決策為特徵的現代時代的工業 4.0 努力以及監管支持是推動其擴張的一些因素。然而，為了成功實施和執行，每個方法都有自己需要克服的障礙，包括高昂的實施成本、與舊有系統的整合以及網路安全風險。了解這些市場促進因素和挑戰對於駕馭智慧工廠市場並利用該領域的成長和創新機會至關重要。

智慧工廠（按細分領域）

本研究按類型、技術、最終用途行業和地區對全球智慧工廠進行了預測。

各國智慧工廠市場前景

隨著人工智慧、物聯網（IoT）和自動化等先進技術的融合，智慧工廠正在迅速改變。世界各地的各個產業都在採用智慧工廠解決方案作為提高效率、降低成本和提高產品品質的策略。最近發生的事件證明了這一點，這些事件反映了在技術進步、經濟狀況和政府舉措的推動下，多個領域都取得了重大進展。美國、中國、德國、印度和日本在從傳統製造業轉型為連網型互聯系統的轉型中處於領先地位。了解這些地區的進展可以深入了解不同市場如何塑造智慧製造的未來。

• 美國：對自動化和高級分析的投資推動了美國智慧工廠市場的最新趨勢。領先的技術和製造公司已推出多項舉措，將 AI（人工智慧）、IoT（物聯網）和機器學習整合到生產流程中。值得注意的舉措包括採用雲端基礎的資料分析平台來即時洞察製造業中機器人技術的擴展，以及使用數位雙胞胎來模擬和最佳化生產流程。美國製造商正在採取網路安全措施來保護其日益互聯的系統免受潛在攻擊。透過專注於數位轉型的工業 4.0，美國工廠的營運更加敏捷和有效率。
• 中國：在「中國製造2025」計劃的推動下，中國在智慧工廠市場取得了重大進展，該計劃旨在透過先進技術和自動化提高工業能力。中國最近迅速採用工業機器人以及人工智慧主導的分析來最佳化生產線和供應鏈。此外，還對用於即時監控的智慧感測器進行了大量投資，物聯網技術正在實現工廠內運作的即時控制。此外，政府透過補貼提供支援以及鼓勵技術採用的獎勵是中國當局幫助促進智慧工廠啟動的一些方式。高科技製造已將中國的工業基地轉變為全球智慧工廠中心。
• 德國：德國憑藉其成熟的製造業和對卓越工程的關注，在智慧工廠創新方面處於世界領先地位。最近的趨勢包括整合基於網實整合系統 (CPS)、物聯網 (IoT) 和巨量資料分析的工業 4.0 原理，以創建高效且靈活的生產環境。德國製造商正在採用先進的機器人技術、積層製造（3D 列印）和虛擬雙胞胎來減少停機時間並提高生產效率。德國也投資研發，以促進智慧工廠技術的創新。德國透過注重高品質標準和精密工程來保持其在國際競爭市場中的地位。
• 工業自動化程度的提高加上印度的數位轉型努力正在迅速改變印度的智慧工廠市場。汽車和紡織業因分別引入人工智慧（物聯網）和物聯網（人工智慧）來最佳化業務和提高產品品質而聞名，但這兩種技術的用途不同，還有許多其他行業也這樣做。印度生產商正在投資智慧感測器和資料分析，以最佳化生產流程並降低成本。政府的「印度製造」政策舉措也是印度各地工廠採用先進技術提高生產效率的趨勢的背後原因。專注於加快擴大智慧工廠解決方案，快速建立支援國家製造業雄心所需的數位基礎設施，即使它們尚未完全開發。
• 日本：日本在技術創新方面擁有豐富的歷史，透過機器人、人工智慧和物聯網的採用，引領智慧工廠市場。最近，我們部署了稱為協作機器人（cobot）的機器人，它們與人類密切合作，以提高生產力並減少事故。日本製造商也使用機器學習和進階分析來實現高效的生產過程最佳化和預測性維護。日本的智慧工廠策略著重於創造高效、靈活、自動化的製造環境。此外，透過注重品管，同時培育精密工程，日本的智慧工廠可以保持在技術進步的前沿。

常問問題

Q.1 智慧工廠的市場規模有多大？

A1. 到 2030 年，全球智慧工廠市場預計將達到 2,157 億美元。

Q.2 智慧工廠市場的成長預測如何？

A2. 預計2024年至2030年全球智慧工廠市場將以9.5%的複合年成長率成長。

Q.3 影響智慧工廠市場成長的關鍵促進因素有哪些？

A3. 該市場的主要促進因素是工業機器人需求的不斷成長以及工業市場中物聯網和人工智慧的日益普及。

Q4.市場的主要細分市場是：

A4. 智慧工廠市場的未來前景廣闊，汽車、半導體、石油和天然氣、化學、製藥、航太和國防、食品和飲料以及採礦市場都有機遇。

Q5.市場的主要企業是：

A5. 主要智慧工廠企業如下：

• ABB
• Siemens
• General Electric
• Rockwell Automation
• Schneider Electric
• Honeywell International
• Emerson Electric

Q6.未來最大的細分市場是什麼？

A6.Lucintel 預測，由於半導體、汽車、食品和飲料行業的需求不斷成長，可程式邏輯控制器將在預測期內呈現最高成長。

Q7. 未來五年預計哪些地區的市場成長最大？

A7.由於經濟快速成長、都市化不斷提高以及對電子商務平台的需求不斷成長，亞太地區仍然是最大的地區。

Q8. 可以客製化報告嗎？

A8. 是的，Lucintel 提供 10% 的客製化服務，無需額外付費。

目錄

第1章執行摘要

第2章全球智慧工廠市場：市場動態

• 簡介、背景、分類
• 供應鏈
• 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

• 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
• 全球智慧工廠市場趨勢（2018-2023）與預測（2024-2030）
• 按類型分類的全球智慧工廠市場
  • 機器視覺系統
  • 工業機器人
  • 控制設備
  • 感應器
  • 通訊技術
  • 其他
• 按技術分類的全球智慧工廠市場
  • 產品生命週期管理
  • 人機介面
  • 企業資源規劃
  • 製造執行系統
  • 集散控制系統
  • 監控控制器和資料採集
  • 可程式邏輯控制器
• 按最終用途產業分類的全球智慧工廠市場
  • 車
  • 半導體
  • 石油和天然氣
  • 化學品
  • 製藥
  • 航太和國防
  • 食品/飲料
  • 礦業
  • 其他

第4章 2018-2030年區域市場趨勢及預測分析

• 全球智慧工廠市場按地區分類
• 北美智慧工廠市場
• 歐洲智慧工廠市場
• 亞太地區智慧工廠市場
• 其他區域智慧工廠市場

第5章 競爭分析

• 產品系列分析
• 營運整合
• 波特五力分析

第6章 成長機會與策略分析

• 成長機會分析
  • 全球智慧工廠市場的成長機會（按類型）
  • 全球智慧工廠市場成長機會（按技術）
  • 最終用戶產業的全球智慧工廠市場成長機會
  • 全球智慧工廠市場成長機會（按地區）
• 全球智慧工廠市場新趨勢
• 戰略分析
  • 新產品開發
  • 擴大全球智慧工廠市場產能
  • 全球智慧工廠市場的併購與合資
  • 認證和許可

第7章主要企業概況

• ABB
• Siemens
• General Electric
• Rockwell Automation
• Schneider Electric
• Honeywell International
• Emerson Electric

Smart Factory Trends and Forecast

The future of the global smart factory market looks promising with opportunities in the automotive, semiconductors, oil and gas, chemical, pharmaceutical, aerospace and defense, food and beverage, and mining markets. The global smart factory market is expected to reach an estimated $215.7 billion by 2030 with a CAGR of 9.5% from 2024 to 2030. The major drivers for this market are rising demand for industrial robots and growing adoption of IoT and artificial intelligence in industrial market.

Lucintel forecasts that programmable logic controller is expected to witness highest growth over the forecast period due to its increasing demand from semiconductor, automotive, and food and beverage industries.

Within this market, automotive will remain the largest segment due to the growing demand for complex and demanding manufacturing processes in this industry.

APAC will remain the largest region due to the rapid economic growth, increasing urbanization, and growing demand for e-commerce platforms in the region.

Emerging Trends in the Smart Factory Market

The smart factory market is undergoing significant transformation, driven by new patterns of technology and changing industrial practices. These include trends that are reshaping how factories are run and are improving on efficiency while enabling higher capabilities. Knowing these key trends, therefore, offers a sneak preview into the future direction of the smart factory market as well as innovation and growth avenues.

• Integration of Artificial Intelligence (AI): AI is progressively being embedded in smart factories to enhance decision-making and automation. This integration results in smarter manufacturing systems that can self-optimize and solve real-time problems. AI algorithms analyze vast amounts of data from manufacturing processes to optimize operations, predict equipment failures, and improve product quality. Using AI also boosts predictive maintenance thereby reducing downtime while increasing lifespan of machinery. In this way traditional manufacturing has become more intelligent, responsive and efficient due to the use of AI in smart factories.
• Expansion of IoT and Connectivity: The Internet of Things (IoT) is playing a crucial role in the development of smart factories through which machines sensors devices are connected for data collection purposes. By this connectivity, production processes can be monitored and controlled in real time leading to improved efficiency that consequently lowers operational costs. This technology has facilitated seamless communication among various components within the manufacturing system resulting into improved visibility and control over it. More integrated, responsive manufacturing environments have been realized because there is more expansion both on IoT as well as connectivity frontiers.
• Adoption of Robotics and Automation: Smart factory concept thrives on enhanced productivity precision- robotics and automation have got it all covered when it comes to such issues in manufacturing process thus they constitute major attributes. Industrial robots' numbers keep growing while collaborative robots (cobots), automated systems too spread across industries at an increased speed. This technology helps automate repetitive tasks; increase accuracy and reduce human error. The adoption of automation in smart factories is being further driven by robotics' advancements like flexible and adaptive robots. Integration of robotics and automation makes manufacturing operations to be more efficient, scalable, and adaptable.
• Emphasis on Data Analytics and Digital Twins: Smart factory operations are increasingly relying on data analytics as well as digital twins. In contrast to physical assets, digital twins can be simulated before actual production thereby enabling real time analysis including manufacturing process among others. Data analytics helps in optimizing performance through actionable insights from IoT devices' dataset leading to predictive maintenance. By performing scenario testing and making data-driven decisions with the help of digital twins combined with advanced analytics, manufacturers can achieve more efficient and effective operations. This trend enhances the management optimization of complex manufacturing systems.
• Focus on Sustainability and Energy Efficiency: Sustainability & energy efficiency are some of the main drivers behind the smart factory market. These include technologies that are geared towards reducing energy consumption, minimizing waste, or lowering environmental impact being adopted by manufacturers. Energy-efficient equipment has been put in place at smart factories which optimize resource use while integrating renewable energy sources. Regulatory requirements alongside increasing consumer demands for green business practices are fueling this focus on sustainability. A sustainable future is not only about reducing costs but also through enhancing energy efficiency; these smart factories contribute towards that goal too.

Industry trends such as incorporation of AI, enlargement of IoT, embracement of robots, e.g., big data analytics, and particularly sustainability are changing the smart factory market. These directions foster improvement in performance while creating an adaptable manufacturing environment. Continuing to change over time, these trends will be very critical in shaping the next phase of advanced manufacturing and providing new avenues for growth and expansion.

Recent Developments in the Smart Factory Market

Recent developments in smart factory market captured below have shown how fast manufacturing technology and practice has evolved over time due to technological advancement; changes in industry needs and regulations. This includes automation innovations, integration of advanced analytics, wider use of internet things (IoT), adoption of sustainable practices among other developments with a keen eye on cyber security. This explains how the sector is evolving and meeting emerging challenges.

• Innovation on Automation: The latest change associated with automation truly marked changes taking place in smart factory market today. Robotics is improving production capabilities through development of collaborative robots(cobots)and flexible automated systems. Improvements made on machine learning plus artificial intelligence(AI)are making automation technologies more complex hence precise processes that can adapt. This has led to increased efficiency, cut down labor expenses, and better product quality. It has resulted into traditional manufacturing becoming more intelligent as well as nimble through constant developments in automation technologies.
• Integration of Advanced Analytics: The integration of advanced analytics is a game changer in the smart factory industry since it provides more visibility into their manufacturing processes. Real-time production data monitoring and analysis are made possible by data analysis platforms, thus enabling informed decisions that optimize operations. Through big data analytics and artificial intelligence(AI) algorithms, forecasts can be made on equipment downtime, supply chains optimized and productivity increased at large. This development enables smart factories to efficiently coordinate complex activities by providing them with actionable insights derived from data.
• Expansion of IoT and Connectivity: Smart Factory Market witnesses an increase in its scale through the expansion of internet things (IoT)and connectivity. Machine process monitoring incorporating IoT devices which enable full control over the entire system has been highly adopted in this case. Their machines are communicating seamlessly among themselves resulting into improved visibility hence responsiveness. This drives interconnection among manufacturing plants so that they are intelligent due to real time information that helps improve their performance levels.
• Adoption of Sustainable Practices: The growth of smart factories has led to the adoption of sustainable practices. Manufacturers are paying more attention to energy saving, waste reduction and green technologies across their operations. There is a rising trend in the use of energy-saving machinery, waste management systems and renewable energy sources that have become popular today. This trend is linked to increased environmental responsibility as driven by regulation and customer demand for sustainability in manufacturing. The current focus on sustainability is transforming production processes leading to a more eco-conscious industry.
• Focus on Cybersecurity: Security challenges are increasingly becoming synonymous with connectivity between smart factories. It recently emerged that the latest technological advancements have made it possible for manufacturing systems to be protected from cyber attacks by using advanced cybersecurity measures. Given the complexity associated with smart factory networks coupled with the growing number of cyber attacks, there is need for robust security protocols and technologies. In order to protect their operations, firms are investing in cybersecurity solutions such as encryption; access controls, threat detection systems among others (source). Hence, this development will ensure integrity and safety in smart manufacturing systems.

Recent developments in the market for smart factories namely automation innovations, increased analytics integration into machines enhanced IoT, embrace sustainable practices and concerns about safety have caused major transformations within this sector. These improvements lead to efficiency gains, better products responses alongside new challenges posed by markets dynamics (source). Further changes within the sector will be determined largely by these trends as it matures while continuing its path towards growth through innovation.

Strategic Growth Opportunities for Smart Factory Market

The market for smart factories has several strategic growth opportunities that arise from technology advancements changing industrial needs and global trends . Notably automation; data analytics; IOT; sustainability and cyber security are key areas where significant prospects exist . By focusing on these key growth opportunities, businesses can enhance their market presence and capitalize on emerging trends. Identifying and leveraging these opportunities will be crucial for driving innovation and achieving success in the evolving smart factory landscape.

• Automation and Robotics: The prospect of automation and robotics is one of the major growth drivers for smart factories . Improved efficiency in manufacturing processes is as a result of development in robotic technologies including cobots (collaborative robots) and adaptive automation systems . By automating tasks that are repetitive, increasing precision or even reducing labor costs, these strategies present valuable growth opportunities to companies. Investing in robotics and automation solutions could make production environments more scalable as well as adaptable giving companies an edge over rivals.
• Data Analytics and Digital Twins: In the smart factory market, digital twins using data analytics have vast potentials for growth . Manufacturers can use digital twins which are virtual models of their products to simulate real time optimization of manufacturing process . Production data from analytics platforms informs real-time decisions connected with performance improvement alongside anticipation of maintenance requirements. These capabilities enable companies to increase operational effectiveness through advanced analytics adoption leading to more efficient decision-making process based on insights gathered by big data processing platforms.
• IoT and Connectivity: The growth in the IoT, as well as connectivity, provides an essential opportunity for expansion in smart factories. Real-time monitoring and management of manufacturing processes through the adoption of devices like those in IoT aids in improving effectiveness thereby reducing operational costs. Companies that offer connectivity infrastructure and Internet of Things (IoT) solutions can benefit from a rising preference for networked manufacturing settings. Integration of IoT technology is needed to create intelligent responsive manufacturing systems with large sales potential.
• Sustainable Manufacturing: Focus on sustainable manufacturing practices is driving smart factory markets forward. Energy efficient technologies and solutions that cut down on waste have become increasingly important. These companies are able to conform to regulation requirements and attract customers who are environmentally-conscious while gaining a competitive edge if they develop such programs. The sustainability focus also presents opportunity for innovation with respect to energy saving equipment and waste reduction systems.
• Cybersecurity Solutions: The increasing interconnectivity of smart factories necessitates stronger cybersecurity measures. Developing sophisticated cyber security strategies to safeguard production systems from cyber threats is a great chance for growth. To address mounting concerns about data protection and system integrity, businesses that provide cybersecurity options including encryption, access controls, or threat detection systems will be favored by customers. Investing in this type of solution is necessary not only for securing smart manufacturing environments but also ensuring resilient operations within the factory.

Strategic growth opportunities in the smart factory market such as automation and robotics, data analytics & digital twins, IoT & connectivity, sustainable manufacturing, and cybersecurity solutions present significant prospects for innovation as well as expansion. By concentrating on these core applications businesses may amplify their presence within the market place drive technological progress and capitalize on emergent trends. This future trend encourages further development in this evolving industrial landscape which has huge growth potential.

Smart Factory Market Driver and Challenges

The growth and development of the smart factory market is driven by diverse drivers and challenges. The market dynamics are shaped by technological advancements, economic conditions, and regulatory factors. Insight into these drivers and challenges helps to identify what has been fueling the adoption of smart factory solutions and business impediments that exist for companies. This can help in identifying opportunities as well as addressing the issues in the smart factory industry.

The factors responsible for driving the smart factory market include:

1. Technological Advancements: This indicates that technological advancements are also important drivers for the smart factory market. Traditional manufacturing processes are transforming into intelligent connected systems through automation, AI system, IoT developments. These improvements increase efficiency, product quality improvement in production process and operational flexibility improvements. Therefore technology continually evolves leading to adoption of smart factories thus creating an opportunity for new growth. By harnessing technological advancements, businesses can position themselves as leaders in the smart factory market.

2. Growing Demand for Efficiency and Productivity: Consequently, growing demand for efficient use of resources in industries such as manufacturing has led to increased adoption of smart factories. They seek ways to streamline operations, reduce costs as well as improve production outcomes. Such demands including real-time monitoring among others can be met through automated processes provided by Smart Factories. Market demand can be met while business goals can be achieved using technologies employed by this driver which leads to enhanced productivity & operational efficiency within firm's operation context; hence contributing towards growth & broad based uptake across various sectors.

3. Industry 4.0 Initiatives: In particular, Industry 4.0 initiatives are crucial elements driving the growth of this industry whereby they aim at integrating digital technologies within manufacturing processes. The focus on developing intelligent and interconnected manufacturing systems is in line with Industry 4.0 principles like automation (A), data exchange (D) and cyber physical systems (CPS). In addition, governments, industry bodies and companies are investing in Industry 4.0 initiatives to improve their manufacturing capabilities and competitiveness. For this reason, these initiatives have greatly accelerated the adoption of smart factory solutions and are shaping the future of manufacturing.

4. Focus on Data-Driven Decision Making: Finally, there is also a shift towards data-driven decision making which is a major driver for the smart factory market. It takes manufacturers' wise decisions through real time information and advanced analytics. The purpose of collecting information from IoT devices, sensors and other sources within smart factories is to enable them predict maintenance needs as well as gain an understanding of how productions process can be improved thereby enhancing performance across all areas. Therefore, this emphasis on data-driven decision making is driving the adoption of smart factory technologies which will enable many firms to control complex operations.

5. Regulatory Support and Incentives: Regulatory support and incentives have also impacted the smart factory market by promoting technological modernisation amongst companies. These policies include research funding grants subsidies for technology purchase or innovation based regulatory framework. Hence availability of regulatory support as well as incentive has been spurring investments into smart factory technologies thereby resulting in its expansion.

Challenges in the smart factory market are:

1. High Implementation Costs: Smart factory market faces a problem of high installation costs. For instance, there may be significant initial capital requirements for advanced technologies, automation systems and infrastructures. Financial constraints facing small and medium-sized enterprises (SMEs) may hinder their ability to implement smart factory solutions. Thus, businesses must evaluate ROI carefully and think about cost-effective ways to address these issues. Thus, alongside the need for wide-spread adoption and growth in the smart factory market, it is important that high implementation costs are addressed.

2. Integration with Legacy Systems: Integrating existing legacy systems with smart factory technologies is difficult. This could mean that several factories rely on obsolete software that cannot accommodate recent technological advances. Additionally, integrating modern solutions into older infrastructure can prove challenging leading to technical difficulties and escalated expenses. To cope with this obstacle firms require seamless integration plans as well as phase-wise implementation strategies. It is important to overcome integration challenges so as to exploit the advantages of smart factory technology.

3. Cybersecurity Concerns: One of the major challenges for the smart factory markets is cyber security concerns. With manufacturing systems becoming more connected and data-driven, they are subject to hacking attacks and data breaches. Thus preserving cybersecurity involves deploying adequate security measures together with continuous alertness against possible risks from external sources or insiders' sabotage attempts at a company's system boundaries thus necessitating investment in encryptionized platforms coupled with threat detection mechanisms among other methods of protection aimed at ensuring operational integrity within such organizations which are involved in production facilities like factories; an aspect whose increasing importance is evidenced by consistent news regarding industrial attacks on such corporations worldwide recently reported by mass media houses. The process of protecting these digital workplaces from hackers entails having strong safeguards since activities because SMES can never say they have taken enough precautions thereby needing advanced encryption procedures along with stringent access controls even trading partners should be taken on board in providing safe connections via secure VPN.

Different drivers and challenges influence the growth and development of the smart factory market. Technological advancements, emphasis for efficiency, Industry 4.0 initiatives aimed at embracing our current times characterized by data driven decisions making, alongside regulatory support are some of the factors propelling its expansion. Nevertheless, certain obstacles such as high implementation costs, integration with legacy systems and cybersecurity risks must be overcome to ensure successful adoption and execution respectively. Understanding these drivers and challenges is critical when navigating through the smart factory market so that one can capitalize on opportunities for growth and innovation in this sector.

List of Smart Factory Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies smart factory companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the smart factory companies profiled in this report include-

• ABB
• Siemens
• General Electric
• Rockwell Automation
• Schneider Electric
• Honeywell International
• Emerson Electric

Smart Factory by Segment

The study includes a forecast for the global smart factory by type, technology, end use industry, and region.

Smart Factory Market by Type [Analysis by Value from 2018 to 2030]:

• Machine Vision Systems
• Industrial Robotics
• Control Devices
• Sensors
• Communication Technologies
• Others

Smart Factory Market by Technology [Analysis by Value from 2018 to 2030]:

• Product Lifecycle Management
• Human Machine Interface
• Enterprise Resource Planning
• Manufacturing Execution Systems
• Distributed Control Systems
• Supervisory Controller and Data Acquisition
• Programmable Logic Controller

Smart Factory Market by End Use Industry [Analysis by Value from 2018 to 2030]:

• Automotive
• Semiconductors
• Oil and Gas
• Chemical
• Pharmaceutical
• Aerospace and Defense
• Mining
• Others

Smart Factory Market by Region [Shipment Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Smart Factory Market

Smart factories are changing fast due to integration of advanced technologies such as artificial intelligence, internet of things (IoT) and automation. Various industries across the globe have embraced smart factory solutions as a strategy aimed at enhancing efficiency, lowering costs and improving product quality. This is evident from recent happenings reflecting notable advancements in several areas that have been driven by technological advancements, economic conditions and government initiatives. The US, China, Germany, India and Japan are showing the way in moving away from traditional manufacturing to smart connected systems. Understanding these regional advancements provides insight into how different markets are shaping the future of smart manufacturing.

• USA: Investments in automation and advanced analytics has resulted to recent developments in the USA's smart factory market. There are various initiatives launched by major technology companies as well as manufacturing giants to integrate AI(artificial intelligence), IoT(internet of things) or machine learning into their production processes. Notable developments include adoption of cloud based data analytic platforms for real time insights on robotics expansion in manufacturing sector; and use digital twins to simulate and optimize production processes among other uses. US manufacturers are employing cyber security measures to safeguard their increasingly interconnected systems from potential attacks. U.S factories now operate at higher levels of agility and efficiency due to industry 4.0 focus on digital transformation.
• China: Driven by "Made in China 2025" initiative that aims at improving its industrial capabilities using automation along with advanced technologies China has achieved substantial progress in the smart factory market. Rapid deployment of industrial robots alongside AI-driven analytics for optimizing production lines plus supply chains have been taking place recently within this country. Furthermore there is heavy investment on sensors that are smart for real-time monitoring while IoT technologies enable control over real time operation within a plant setting . Also Government support through subsidies as well as incentives towards encouraging technological adoption constitute some ways which Chinese authorities help facilitate smart factory initiates . High tech manufacture has turned China's industrial base into Smart Factory global hub.
• Germany: Germany is a global leader of smart factory innovations because of its well-established manufacturing industry and focus on engineering excellence. Some of the recent developments include the integration of Industry 4.0 principles, which are based upon cyber-physical systems (CPS), Internet of Things (IoT) and big data analytics to create highly efficient and flexible production environments. German manufacturers have adopted advanced robotics, additive manufacturing (3D printing) as well as virtual twins to improve production efficiency through reducing downtime . The country has also made investment in research and development that facilitate innovation for smart factory technologies. Germany maintains its place in the globally competitive market by focusing on high quality standards and precision engineering.
• India: Increasing industrial automation coupled with initiatives towards digital transformation are rapidly changing India's smart factory market. While automotive or textiles sectors stand out as amongst those that have embraced AI(internet of things)and IoT(artificial intelligence) to better optimize operations and obtain higher product quality respectively, there are many more industries where these two technologies are used with different objectives in mind .Indian producers are investing into intelligent sensors along with data analytics so as to optimize their production processes while also cutting down on costs . The "Make in India" policy initiative by government is another factor behind this rising trend towards adoption of advanced techs for enhanced output efficiencies in factories across India. With a strong focus on scale-up smart factory solutions at an accelerated pace , accompanying it by upgrading digital infrastructure necessary for supporting the country's ambitions concerning manufacturing sector that is being developed very quickly even if not at sufficient levels yet.
• Japan: Japan, which has a very rich history in technical innovations, is leading in the smart factory market through the incorporation of robotics, AI and IoT. They have recently deployed robots that work closely with humans called collaborative robots (cobots) to boost productivity and reduce accidents. Japanese manufacturers are also using machine learning and advanced analytics for efficient production processes optimization and predictive maintenance. Japan's smart factory strategy concentrates on creating highly efficient, flexible and automated manufacturing environments. Besides, Japan's emphasis on quality control while nurturing precision engineering ensures its smart factories remain at the forefront of technological progress.

Features of the Global Smart Factory Market

Market Size Estimates: Smart factory market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Smart factory market size by type, technology, end use industry, and region in terms of value ($B).

Regional Analysis: Smart factory market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, technologies, end use industries, and regions for the smart factory market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the smart factory market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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FAQ

Q.1 What is the smart factory market size?

Answer: The global smart factory market is expected to reach an estimated $215.7 billion by 2030.

Q.2 What is the growth forecast for smart factory market?

Answer: The global smart factory market is expected to grow with a CAGR of 9.5% from 2024 to 2030.

Q.3 What are the major drivers influencing the growth of the smart factory market?

Answer: The major drivers for this market are rising demand for industrial robots and growing adoption of IoT and artificial intelligence in industrial market.

Q4. What are the major segments for smart factory market?

Answer: The future of the smart factory market looks promising with opportunities in the automotive, semiconductors, oil and gas, chemical, pharmaceutical, aerospace and defense, food and beverage, and mining markets.

Q5. Who are the key smart factory market companies?

Answer: Some of the key smart factory companies are as follows:

• ABB
• Siemens
• General Electric
• Rockwell Automation
• Schneider Electric
• Honeywell International
• Emerson Electric

Q6. Which smart factory market segment will be the largest in future?

Answer: Lucintel forecasts that programmable logic controller is expected to witness highest growth over the forecast period due to its increasing demand from semiconductor, automotive, and food and beverage industries.

Q7. In smart factory market, which region is expected to be the largest in next 5 years?

Answer: APAC will remain the largest region due to the rapid economic growth, increasing urbanization, and growing demand for e-commerce platforms in the region.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the smart factory market by type (machine vision systems, industrial robotics, control devices, sensors, communication technologies, and others), technology (product lifecycle management, human machine interface, enterprise resource planning, manufacturing execution systems, distributed control systems, supervisory controller and data acquisition, and programmable logic controller), end use industry (automotive, semiconductors, oil and gas, chemical, pharmaceutical, aerospace and defense, food and beverage, mining, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Smart Factory Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global Smart Factory Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global Smart Factory Market by Type
  • 3.3.1: Machine Vision Systems
  • 3.3.2: Industrial Robotics
  • 3.3.3: Control Devices
  • 3.3.4: Sensors
  • 3.3.5: Communication Technologies
  • 3.3.6: Others
• 3.4: Global Smart Factory Market by Technology
  • 3.4.1: Product Lifecycle Management
  • 3.4.2: Human Machine Interface
  • 3.4.3: Enterprise Resource Planning
  • 3.4.4: Manufacturing Execution Systems
  • 3.4.5: Distributed Control Systems
  • 3.4.6: Supervisory Controller and Data Acquisition
  • 3.4.7: Programmable Logic Controller
• 3.5: Global Smart Factory Market by End Use Industry
  • 3.5.1: Automotive
  • 3.5.2: Semiconductors
  • 3.5.3: Oil and Gas
  • 3.5.4: Chemical
  • 3.5.5: Pharmaceutical
  • 3.5.6: Aerospace and Defense
  • 3.5.7: Food and Beverage
  • 3.5.8: Mining
  • 3.5.9: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global Smart Factory Market by Region
• 4.2: North American Smart Factory Market
  • 4.2.1: North American Smart Factory Market by Technology: Product Lifecycle Management, Human Machine Interface, Enterprise Resource Planning, Manufacturing Execution Systems, Distributed Control, Systems, Supervisory Controller and Data Acquisition, and Programmable Logic Controller
  • 4.2.2: North American Smart Factory Market by End Use Industry: Automotive, Semiconductors, Oil and Gas, Chemical, Pharmaceutical, Aerospace and Defense, Food and Beverage, Mining, and Others
• 4.3: European Smart Factory Market
  • 4.3.1: European Smart Factory Market by Technology: Product Lifecycle Management, Human Machine Interface, Enterprise Resource Planning, Manufacturing Execution Systems, Distributed Control, Systems, Supervisory Controller and Data Acquisition, and Programmable Logic Controller
  • 4.3.2: European Smart Factory Market by End Use Industry: Automotive, Semiconductors, Oil and Gas, Chemical, Pharmaceutical, Aerospace and Defense, Food and Beverage, Mining, and Others
• 4.4: APAC Smart Factory Market
  • 4.4.1: APAC Smart Factory Market by Technology: Product Lifecycle Management, Human Machine Interface, Enterprise Resource Planning, Manufacturing Execution Systems, Distributed Control, Systems, Supervisory Controller and Data Acquisition, and Programmable Logic Controller
  • 4.4.2: APAC Smart Factory Market by End Use Industry: Automotive, Semiconductors, Oil and Gas, Chemical, Pharmaceutical, Aerospace and Defense, Food and Beverage, Mining, and Others
• 4.5: ROW Smart Factory Market
  • 4.5.1: ROW Smart Factory Market by Technology: Product Lifecycle Management, Human Machine Interface, Enterprise Resource Planning, Manufacturing Execution Systems, Distributed Control, Systems, Supervisory Controller and Data Acquisition, and Programmable Logic Controller
  • 4.5.2: ROW Smart Factory Market by End Use Industry: Automotive, Semiconductors, Oil and Gas, Chemical, Pharmaceutical, Aerospace and Defense, Food and Beverage, Mining, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Smart Factory Market by Type
  • 6.1.2: Growth Opportunities for the Global Smart Factory Market by Technology
  • 6.1.3: Growth Opportunities for the Global Smart Factory Market by End Use Industry
  • 6.1.4: Growth Opportunities for the Global Smart Factory Market by Region
• 6.2: Emerging Trends in the Global Smart Factory Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Smart Factory Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Smart Factory Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: ABB
• 7.2: Siemens
• 7.3: General Electric
• 7.4: Rockwell Automation
• 7.5: Schneider Electric
• 7.6: Honeywell International
• 7.7: Emerson Electric