![]() |
市場調查報告書
商品編碼
1494806
2030 年智慧製造市場預測:按組件、公司規模、部署類型、技術、最終用戶和地區進行的全球分析Smart Manufacturing Market Forecasts to 2030 - Global Analysis By Component, Enterprise Size, Deployment Mode, Technology, End User and By Geography |
根據Stratistics MRC預測,2024年全球智慧製造市場規模將達到1,300.3億美元,預計2030年將達到3,767.5億美元,預測期內年複合成長率為19.4%。
智慧製造將物聯網 (IoT)、人工智慧 (AI)、機器人、巨量資料分析和雲端運算等先進技術整合到製造流程中,以提高效率、靈活性和生產力。智慧製造包含一種整體生產方法,其中互連的設備和系統無縫通訊和協同工作,從而實現即時監控、分析和決策。智慧製造可最佳化資源利用率、減少停機時間、最大限度地減少浪費並提高品質。促進對市場需求、客製化和快速原型製作的敏捷回應,以培養創新和競爭力。
據Invest India.gov稱,2017年全球主要企業和政府投資約170億美元,預計2021年投資約600億美元。根據India.gov報道,2020年5月,印度政府投資了約2.65億美元(20兆日圓)作為「經濟一攬子計畫」。
客製化和個人化的需求不斷成長
隨著消費者尋求適合其獨特偏好和需求的產品,製造商正在轉向智慧技術來有效地滿足這些需求。智慧製造融合了自動化、資料分析和連接性,可實現高度靈活的生產流程。透過利用物聯網設備、人工智慧主導的分析和機器人等技術,製造商可以最佳化生產工作流程、消除浪費並簡化業務,同時滿足個人化訂單。這種客製化能力使製造商能夠提供各種各樣的產品,而不會犧牲效率或顯著增加成本。此外,即時資料洞察可實現敏捷決策,並有助於根據不斷變化的客戶偏好快速調整生產計劃和產品設計。
初始投資成本
初始投資成本是智慧製造技術普及的主要障礙。雖然從長遠來看,這些技術有望提高效率、提高生產力並節省成本,但對於許多企業,尤其是中小型企業來說,初始成本可能很高。實施智慧製造系統通常需要大量投資,包括硬體、軟體和基礎設施升級、員工培訓以及與現有系統的整合。然而,這樣的財務支出可能會阻礙公司做出智慧製造決策,特別是當投資回報不明或他們缺乏資金進行如此大的前期投資時,可能會讓你猶豫不決。
擴大雲端技術的採用
雲端技術擴大被採用,並透過提供無與倫比的靈活性、擴充性和可訪問性來改變智慧製造格局。雲端平台使製造商能夠即時儲存和處理連網型設備和感測器產生的大量資料,從而實現高級分析和預測維護功能。整個製造生態系統中資料的無縫整合提供了對營運的更大可視性和控制,最佳化生產流程,減少停機時間並提高整體效率。此外,雲端基礎的解決方案消除了對IT基礎設施和維護的大量前期投資的需要,使製造商能夠更經濟高效地部署和管理智慧製造應用程式。
網路安全問題
隨著越來越多的行業採用互聯技術和物聯網設備來簡化業務,它們變得更容易受到網路威脅。這些技術的集合成為惡意行為者創造了許多可利用的入口點,可能導致資料外洩、業務中斷,甚至物理損壞。這迫使製造商投入大量資源來保護其數位基礎設施,從而將資金和注意力從創新和擴張工作上轉移開。然而,由於擔心安全漏洞的後果,對網路攻擊的恐懼可能會阻止公司全面實施智慧製造解決方案。
Covid-19 爆發之初,全球供應鏈受到干擾,導致生產延遲和對智慧製造系統至關重要的組件短缺。為遏制病毒而採取的封鎖措施導致工廠運作減少和人手不足,影響了智慧製造技術的採用。然而,危機也加速了製造過程中自動化和數位化的引入。由於需要在社交距離通訊協定中維持營運,企業擴大轉向智慧製造解決方案,以提高效率、靈活性和彈性。
大型企業部門預計將在預測期內成為最大的部門
透過對先進技術和資源的大量投資,大型企業預計將在智慧製造市場中佔據最大佔有率。大型企業採用智慧製造解決方案不僅簡化了生產流程,還促進了整個價值鏈的創新和效率。大企業深厚的財力使得大規模智慧製造舉措得以實施,為全行業的進步和標準化鋪平了道路。此外,大公司往往是有影響力的早期採用者,展示了智慧製造解決方案的優勢並幫助推動全行業的普及。
預計本地細分在預測期內將出現最高的年複合成長率。
透過為企業的製造流程提供更好的控制、安全性和靈活性,預計本地產業在預測期內將實現最高的年複合成長率。本地解決方案允許製造商直接在其設施內部署智慧技術,從而實現生產業務的即時監控、分析和最佳化。這種方法可以與現有基礎設施無縫整合,最大限度地提高效率,同時最大限度地減少對工作流程的干擾。此外,本地解決方案增強了資料隱私和安全性,這對於具有嚴格監管要求或專有資訊的行業至關重要。
在預測期內,北美地區佔據了最大的市場佔有率。物聯網技術實現了製造過程中各種設備和系統之間的互連和資料交換,從而提高了全部區域的自動化程度、效率和生產力。在北美各地,各產業正在實施物聯網主導的智慧製造解決方案,以最佳化業務、改善決策並增強整體競爭力。透過支援物聯網的感測器、機器和分析平台,製造商可以即時收集有關設備性能、供應鏈物流和產品品質的資料,從而實現全部區域。
預計歐洲地區在整個預測期內將保持良好的成長。監管機構專注永續性、效率和技術進步,正在實施鼓勵當地採用智慧製造方法的政策。這些法規通常包括有關能源效率、減少廢棄物以及全部區域物聯網、人工智慧和自動化等數位技術整合的指令。透過強制遵守這些標準,各國政府正在創造一個競爭環境,促進該地區智慧製造解決方案的創新和投資。
According to Stratistics MRC, the Global Smart Manufacturing Market is accounted for $130.03 billion in 2024 and is expected to reach $376.75 billion by 2030 growing at a CAGR of 19.4% during the forecast period. Smart Manufacturing integrates advanced technologies such as Internet of Things (IoT), artificial intelligence (AI), robotics, big data analytics, and cloud computing into manufacturing processes to enhance efficiency, flexibility, and productivity. It encompasses a holistic approach to production, where interconnected devices and systems communicate and collaborate seamlessly, enabling real-time monitoring, analysis, and decision-making. Smart Manufacturing optimizes resource utilization, reduces downtime, minimizes waste, and improves quality. It facilitates agile responses to market demands, customization, and rapid prototyping, fostering innovation and competitiveness.
According to Invest India.gov, key companies and governments worldwide invested around USD 17 billion in 2017 and are projected to invest around USD 60 billion by 2021. According to India.gov, in May 2020, the government of India invested around USD 265.0 million (20 lakh crore) as an "Economic Package.
Rising demand for customization and personalization
As consumers seek products tailored to their unique preferences and needs, manufacturers are turning to smart technologies to meet these demands efficiently. Smart manufacturing incorporates automation, data analytics, and connectivity to enable highly flexible production processes. By leveraging technologies like IoT devices, AI-driven analytics, and robotics, manufacturers can optimize production workflows, reduce waste, and streamline operations while accommodating personalized orders. This customization capability allows manufacturers to offer a diverse range of products without sacrificing efficiency or increasing costs significantly. Additionally, real-time data insights enable agile decision-making, facilitating rapid adjustments to production schedules or product designs based on changing customer preferences.
Initial investment costs
The initial investment costs pose a significant barrier to the widespread adoption of smart manufacturing technologies. While these technologies promise increased efficiency, productivity, and cost savings in the long run, the upfront expenses can be prohibitive for many businesses, especially smaller enterprises. Implementing smart manufacturing systems often requires substantial investments in hardware, software, infrastructure upgrades, employee training, and integration with existing systems. However, this financial outlay can deter companies from taking the leap into smart manufacturing, particularly if they are uncertain about the return on investment or lack the capital to make such a significant upfront commitment.
Rising adoption of cloud technologies
The increasing adoption of cloud technologies is revolutionizing the landscape of smart manufacturing by offering unparalleled flexibility, scalability, and accessibility. Cloud platforms provide manufacturers with the ability to store and process massive amounts of data generated by connected devices and sensors in real-time, enabling advanced analytics and predictive maintenance capabilities. This seamless integration of data across the manufacturing ecosystem facilitates enhanced visibility and control over operations, leading to optimized production processes, reduced downtime, and improved overall efficiency. Moreover, cloud-based solutions enable manufacturers to deploy and manage smart manufacturing applications more cost-effectively, as they eliminate the need for large upfront investments in IT infrastructure and maintenance.
Cybersecurity concerns
As industries increasingly adopt interconnected technologies and IoT devices to streamline operations, they become more susceptible to cyber threats. The integration of these technologies creates numerous entry points for malicious actors to exploit, potentially leading to data breaches, operational disruptions, and even physical harm. Manufacturers are thus compelled to invest substantial resources in securing their digital infrastructure, diverting funds and attention away from innovation and expansion efforts. However, the fear of cyber attacks can deter businesses from fully embracing smart manufacturing solutions, fearing the repercussions of a security breach.
Initially, the outbreak disrupted global supply chains, causing production delays and shortages of critical components for smart manufacturing systems. Lockdown measures enforced to contain the virus led to reduced factory operations and manpower shortages, affecting the implementation of smart manufacturing technologies. However, the crisis also accelerated the adoption of automation and digitalization in manufacturing processes. With the need to maintain operations amidst social distancing protocols, companies increasingly turned to smart manufacturing solutions to enhance efficiency, flexibility, and resilience.
The Large Enterprises segment is expected to be the largest during the forecast period
Large enterprises segment is expected to hold the largest share of the smart manufacturing market through their significant investments in advanced technologies and resources. Their adoption of smart manufacturing solutions not only streamlines production processes but also drives innovation and efficiency across the entire value chain. Their substantial financial resources enable them to implement large-scale smart manufacturing initiatives, paving the way for industry-wide advancements and standards. Additionally, large enterprises often serve as influential early adopters, showcasing the benefits of smart manufacturing solutions and encouraging wider industry adoption.
The On-Premises segment is expected to have the highest CAGR during the forecast period
On-Premises segment is expected to have the highest CAGR during the forecast period by providing companies with greater control, security, and flexibility in their manufacturing processes. By utilizing on-premises solutions, manufacturers can deploy smart technologies directly within their facilities, enabling real-time monitoring, analysis, and optimization of production operations. This approach allows for seamless integration with existing infrastructure, ensuring minimal disruption to workflows while maximizing efficiency gains. Additionally, on-premises solutions offer heightened data privacy and security, vital for industries with stringent regulatory requirements or proprietary information.
North America region commanded the largest share of the market over the projection period. IoT technology enables interconnectedness and data exchange among various devices and systems within manufacturing processes, leading to increased automation, efficiency, and productivity across the region. In North America, industries are embracing IoT-driven smart manufacturing solutions to optimize operations, improve decision-making, and enhance overall competitiveness. Through IoT-enabled sensors, machines, and analytics platforms, manufacturers can gather real-time data on equipment performance, supply chain logistics, and product quality, enabling predictive maintenance and proactive adjustments to production processes throughout the region.
Europe region is poised to hold lucrative growth throughout the extrapolated period. With a focus on sustainability, efficiency, and technological advancement, regulatory bodies are implementing policies that incentivize the regional adoption of smart manufacturing practices. These regulations often include directives for energy efficiency, waste reduction, and the integration of digital technologies such as IoT, AI, and automation throughout the region. By mandating compliance with these standards, governments are fostering a competitive environment that encourages innovation and investment in smart manufacturing solutions in the region.
Key players in the market
Some of the key players in Smart Manufacturing market include ABB Group, General Electric, Hexagon AB, Honeywell International, IBM Corporation, Intel Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, Oracle Corporation, Rockwell Automation, Schaeffler AG, Schneider Electric, Siemens AG and Toshiba Corporation.
In June 2023, Schneider Electric partnered with ArcelorMittal Nippon Steel India for hi-tech training on smart manufacturing. The partnership also includes smart labs and training labs for NAMTECH, an education initiative by AM/NS India, which will be developed by Schneider Electric.
In April 2023, Honeywell International, Inc. acquired Compressor Controls Corporation (CCC), a provider of turbomachinery control and optimization solutions, for USD 670 million. This acquisition is expected to strengthen their presence in automation, industrial control, and process solutions.
In April 2023, Robert Bosch GmbH partnered with Rhenus Automotive and REMONDIS subsidiary TSR Recycling, to develop Europe's first fully automated battery-discharging plant. The plant will be a fully automated system for disassembling and discharging battery modules, which is expected to augment the industry growth further.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.