市場調查報告書
商品編碼
1359049
2030 年智慧工廠市場預測 - 依組件、連接性別、技術、最終用戶和地區進行的全球分析Smart Factory Market Forecasts to 2030 - Global Analysis By Component, Connectivity, Technology, End User and By Geography |
根據Stratistics MRC預測,2023年全球智慧工廠市場規模將達到981.7億美元,預計2030年將達到1,402.8億美元,預測期內年複合成長率為5.2%。
智慧工廠是依托智慧製造的高度數位化、互聯化的生產設施。使用連網小工具、設備和生產系統收集和共用即時資料。智慧工廠的好處正在擴大,包括更好的資料洞察、更快的問題解決、提高工廠生產力、改進安全和品管、無縫資料替換、準時交付和持續產品改進。
總部位於德國的非營利組織國際機器人聯合會表示,2021年新機器人銷售量小幅增加0.5%,但機器人安裝數量預計將迅速恢復並成長13%。
技術發展是智慧工廠市場的關鍵因素。技術進步作為智慧工廠市場的驅動力發揮重要作用。人工智慧、機器學習、雲端運算和邊緣運算等創新可實現更高的自動化、預測分析以及機器和系統之間的連接。這些發展提高了智慧製造解決方案的可用性、擴充性和有效性。此外,透過提供庫存、物流和需求預測的即時可見性,智慧工廠支援改進的供應鏈管理。製造商可以透過改善整個供應鏈的協調和整合來縮短交貨時間、提高客戶滿意度並最佳化存量基準。
實施智慧工廠技術需要大量的初始投資。實施先進的自動化系統、整合各種技術以及升級基礎設施可能成本高昂。這對於中小企業(SME)或財力有限的組織來說可能是一個障礙,限制了他們實施智慧工廠解決方案的能力。這些要素可能會阻礙市場成長。
借助5G技術,智慧工廠主可以更安全地採用蜂窩技術並針對特定應用進行客製化。透過將感測器連接到支援 5G 的設備,無需連接到機器即可從生產網路收集資料,從而實現平滑的即時最佳化。多家公司正在部署 5G 網路,以實現可靠、強大的連接。在工廠中部署 5G 網路無需有線連接,從而能夠以最大的彈性和最短的停機時間實現更快的製造。擁有一個能夠在速度、覆蓋範圍和可靠性方面可提供支援的網路對於該行業至關重要。 5G網路的出現將為工廠提供單一來源的解決方案,為智慧工廠開拓廣闊前景。
智慧工廠非常容易受到網路安全威脅,因為它們嚴重依賴互連系統、物聯網設備和資料替換。隨著越來越多的設備和元件聯網,攻擊面不斷擴大,網路攻擊、資料外洩和工業間諜活動的風險也隨之增加。保護敏感資料、智慧財產權以及確保系統和網路完整性是智慧工廠面臨的主要課題。
COVID-19大流行對智慧工廠市場產生了負面影響,因為世界各地都發布了封鎖令,擾亂了生產活動,使該行業難以維持。智慧製造技術的採用受阻也導致了成長下滑。疫情嚴重阻礙了工業4.0的部署,最終對智慧工業產生了負面影響。事實證明,市場對供給面有重大影響。汽車、交通運輸、航太和國防、石油、天然氣、能源和電力等產業收益大幅下降。然而,COVID-19大流行迫使製造業減少對體力勞動的依賴,並採用人工智慧、機器學習和物聯網等先進技術。因此,各行業對智慧製造技術的採用顯著增加。
汽車領域預計將佔據最大佔有率。智慧工廠利用機器人、人工智慧、物聯網和巨量資料分析等技術正在徹底改變汽車製造。這些進步使您能夠簡化生產流程、加強品管並提高業務效率。汽車領域的智慧工廠具有靈活生產、即時監控、預測性維護和供應鏈最佳化優勢。此外,自動化和數位技術的整合將使汽車能夠滿足日益成長的客製化需求、降低生產成本並加快上市時間。隨著汽車產業向電動車、自動駕駛和互聯移動發展,智慧工廠將在推動該領域的創新和競爭方面發揮關鍵作用。
預計工業機器人領域在預測期內將出現良好成長。工業機器人是可程式機器,可以準確、快速地執行重複性任務。工業機器人透過處理組裝、物料搬運和品管業務,在智慧工廠中發揮重要作用。此外,工業機器人還可以提高生產力、提高產品品質並降低勞動成本。工業機器人可以與人工智慧、物聯網、機器視覺系統等其他智慧工廠技術整合,實現智慧決策和適應性。隨著各行業對自動化的需求不斷增加,工業機器人領域預計將顯著成長,推動智慧工廠功能的複雜化。
在估計期間,歐洲佔了最大的市場佔有率。歐盟的研究與創新 (R&I) 計畫為智慧技術和解決方案的開發提供了大力支持,使歐洲製造業能夠充分挖掘數位潛力。該合作夥伴關係旨在透過開發跨多個最終用戶產業的重要核心實行技術,幫助歐盟製造業和中小企業提高全球競爭力。此外,英國智慧工廠市場成長率為歐洲地區最高,而德國智慧工廠市場則佔最大市場佔有率。
預計亞太地區在預測期內將出現獲利成長。隨著工業化的快速發展和先進技術的採用,中國、日本、韓國和印度等國家正在引領該地區智慧工廠的擴張。智慧工廠整合了自動化、人工智慧、物聯網 (IoT) 和資料分析,使製造流程更有效率、彈性。政府推動工業4.0的配合措施、勞動成本上升以及提高業務效率的需求等要素正在推動對智慧工廠的需求。亞太地區正在成為製造業中心,智慧工廠的引進可望徹底改變傳統製造業,為該地區的經濟成長和競爭力做出重大貢獻。
According to Stratistics MRC, the Global Smart Factory Market is accounted for $98.17 billion in 2023 and is expected to reach $140.28 billion by 2030 growing at a CAGR of 5.2% during the forecast period. A smart factory is a highly digitized and connected production facility that relies on smart manufacturing. It uses networked gadgets, devices, and production systems to gather and share real-time data. The benefits of smart factories are growing, including better data insights, quicker problem solving, increased plant productivity, improved safety and quality control, seamless data exchange, on-time delivery, and ongoing product improvement.
According to International Federation of Robotics, a nonprofit organization headquartered in Germany, sales of new robots increased somewhat in 2021 by 0.5%, while robot installations are predicted to rebound rapidly and increase by 13%.
The development of technology is a key factor in the market for smart factories. Technological advancements play a crucial role in driving the smart factory market. Innovations such as AI, machine learning, cloud computing, and edge computing enable more sophisticated automation, predictive analytics, and connectivity between machines and systems. These developments increase the availability, scalability, and effectiveness of smart manufacturing solutions. Furthermore, by offering real-time visibility into inventory, logistics, and demand forecasts, smart factories support improved supply chain management. Manufacturers may decrease lead times, improve customer satisfaction, and optimise inventory levels with greater coordination and integration throughout the supply chain.
Implementing smart factory technologies requires a significant upfront investment. The cost of deploying advanced automation systems, integrating various technologies, and upgrading infrastructure can be substantial. This can be a barrier for small and medium-sized enterprises (SMEs) or organizations with limited financial resources, limiting their ability to adopt smart factory solutions. These factor can hampered market growth.
Smart factory owners can employ cellular technologies more securely and customise them for particular applications with the help of 5G technology. They can collect data from production networks without connecting to the machines by installing sensors on 5G-enabled equipment, enabling smooth real-time optimisation. For reliable and powerful connections, several firms are implementing 5G networks. By installing a 5G network in factories, wired connectivity is no longer required, allowing for high-speed manufacturing with maximum flexibility and minimal downtime. Having a network that can be supported in terms of speed, coverage, and reliability becomes essential for industries. The advent of the 5G network will provide factories with a single source for solutions and open up huge prospects for smart factories.
Smart factories heavily rely on interconnected systems, IoT devices, and data exchange, making them vulnerable to cybersecurity threats. As more devices and components are connected, the attack surface increases, and the risk of cyber attacks, data breaches, and industrial espionage grows. Protecting sensitive data, intellectual property, and ensuring the integrity of systems and networks is a critical challenge for smart factories.
The COVID-19 pandemic negatively impacted the smart factory market as lockdown orders were issued worldwide, which hindered production activities and made it harder to maintain industries. A hindrance to the adoption of smart manufacturing technology also contributed to a decline in growth. The epidemic seriously impeded the deployment of Industry 4.0, which ultimately harmed smart industries. The market revealed a significant influence on the supply side. Industries such as automotive, transportation, aerospace & defence, oil & gas, and energy & power witnessed a sharp decline in revenues. However, the COVID-19 pandemic compelled the manufacturing industry to reduce its dependency on manual labour and adopt advanced technologies such as AI, machine learning, and IoT. Thus, there was significant growth in the adoption of smart manufacturing technologies among various industries
The Automotive segment is estimated to hold the largest share. Smart factories are revolutionizing automotive manufacturing by leveraging technologies such as robotics, AI, IoT, and big data analytics. These advancements enable streamlined production processes, enhanced quality control, and improved operational efficiency. Smart factories in the automotive sector offer benefits such as flexible production, real-time monitoring, predictive maintenance, and supply chain optimization. Moreover, the integration of automation and digital technologies enables automotive manufacturers to meet increasing demands for customization, reduce production costs, and accelerate time-to-market. As the automotive industry evolves towards electric vehicles, autonomous driving, and connected mobility, smart factories play a crucial role in driving innovation and competitiveness in this sector.
The Industrial Robots segment is anticipated to have lucrative growth during the forecast period. Industrial robots are programmable machines capable of performing repetitive tasks with precision and speed. They play a crucial role in smart factories by handling assembly, material handling, and quality control operations. Furthermore, industrial robots enable higher productivity, improved product quality, and reduced labour costs. They can be integrated with other smart factory technologies such as AI, IoT, and machine vision systems to enable intelligent decision-making and adaptability. As the demand for automation increases across industries, the industrial robots segment is expected to witness substantial growth, driving the advancement of smart factory capabilities.
Europe commanded the largest market share during the extrapolated period. The research and innovation (R&I) programmes of the European Union have provided considerable support for the development of smart technologies and solutions that enable the European manufacturing sector to fully capitalise on digital potential. Several initiatives are funded by the "Factories of the Future Public-Private Partnership," which aims to help EU manufacturing businesses and SMEs meet global competitiveness by developing the essential core enabling technologies across multiple end-user industries. Additionally, the UK's smart factory market grew at the highest rate in the European region, while the German smart factory market held the largest market share.
Asia-Pacific region is expected to witness profitable growth over the projection period. With rapid industrialization and the adoption of advanced technologies, countries like China, Japan, South Korea, and India are driving the expansion of smart factories in the region. Smart factories integrate automation, artificial intelligence, the Internet of Things (IoT), and data analytics to enhance productivity, efficiency, and flexibility in manufacturing processes. Factors such as government initiatives promoting Industry 4.0, rising labour costs, and the need for improved operational efficiency are fueling the demand for smart factories. The Asia-Pacific region is becoming a hub for manufacturing industries, and the implementation of smart factories is expected to revolutionise traditional manufacturing and contribute significantly to economic growth and competitiveness in the region.
Some of the key players in the Smart Factory Market include: ABB Ltd., Emerson Electric Co., Rockwell Automation Inc, Siemens AG, Honeywell International Inc., Endress+Hauser AG, General Electric Company, Schneider Electric SE, Mitsubishi Electric Corp., Yokogawa Electric Corp., Johnson Controls International PLC, SAP SE, Cisco Systems Inc., Oracle Corporation, Kollmorgen, IBM Corporation, Microsoft Corporation, Fanuc Corporation, Robert Bosch GmbH and Cognex Corporation.
In January 2022, Emerson Electric Co. (U.S.) launched its PACSystems Edge Solutions, a new portfolio of turnkey industrial edge hardware and software solutions. These solutions enable OEMs and end users to rapidly configure and implement advanced edge computing, visualization, and IIoT technology.
In March 2022, Emerson Electric Co. launched MT Connect, an industrial control platform driver for enabling easy integration of computer numerical control (CNC) machines with modern data analysis automation environment. This allows the collection of data from machines, robots, tools, and devices, which were previously inaccessible to be cumulatively analyzed in one platform. The new driver offers reduced downtime, improved efficiency, and increased productivity.
In October 2021, ABB Ltd. (Switzerland) launched its ABB Ability Genix Asset Performance Management Suite. The Genix Asset Performance Management Suite brings next-generation AI-based predictive maintenance, asset reliability, and integrity insights to process and utility industries.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.