市場調查報告書
商品編碼
1530873
2030 年工業自動化市場預測:按組件、最終用戶和地區分類的全球分析Industrial Automation Market Forecasts to 2030 - Global Analysis By Component (Software, Hardware and Services), End User (Automotive, Oil & Gas, Pulp & Paper, Chemicals, Food and Beverages and Other End Users) and By Geography |
根據Stratistics MRC的數據,2024年全球工業自動化市場規模為2,591.5億美元,預計預測期內複合年成長率為12.2%,到2030年將達到5,170.3億美元。
工業自動化是指使用電腦和機器人等控制系統來處理工業環境中的各種流程和機器。主要目標是用能夠持續高效運作的技術解決方案取代人工干預,並且通常比人類工人具有更高的精度和速度。工業自動化系統通常包括感測器、致動器和 PLC(可程式邏輯控制器)來監控和控制各種操作。
根據 IBEF 的汽車產業報告,由於印度年輕人口占很大比例且中產階級不斷壯大,二輪車市場在單位數量上佔據主導地位。
對業務效率的需求不斷增加
對工業自動化業務效率的日益關注反映了向最佳化生產流程和資源利用的關鍵轉變。越來越多的公司正在利用物聯網 (IoT)、人工智慧 (AI) 和機器學習等先進技術來簡化業務、最大限度地減少停機時間並提高整體生產力。自動化系統的設計不僅可以準確地執行重複性任務,還可以即時收集和分析資料,以實現主動決策和預測性維護。這種積極主動的方法降低了營運成本,提高了產品質量,並符合嚴格的行業標準。
整合複雜度
工業自動化整合的複雜性是由多種因素造成的。工業環境通常使用無法與現代自動化技術無縫通訊或整合的舊有系統。這需要大量維修或更換,以確保整體相容性和功能。每個系統可能使用不同的通訊協定、標準或專有介面運行,從而使實現統一控制和監視的工作變得複雜。然而,工業營運的規模和範圍加劇了整合挑戰,需要強大的基礎設施、資料安全措施和熟練的人才來處理複雜的整合。
機器人和人工智慧的進步
機器人和人工智慧的進步顯著提高了各個領域的效率、精度和靈活性,正在徹底改變工業自動化。人工智慧驅動的機器人可以比人類以更高的精度和速度執行複雜的任務,減少錯誤和營運成本,同時提高整體生產力。機器學習演算法使機器人能夠適應環境並從中學習,透過預測性維護和即時調整來最佳化流程並最大限度地減少停機時間。此外,由人工智慧驅動的協作機器人(cobots)可以安全地與人類一起工作,提高職場的安全性和人體工學。
網路安全問題
網路安全問題是工業自動化進步的主要障礙。隨著各行業擴大部署互連系統和物聯網 (IoT) 設備,它們變得越來越容易受到網路威脅。惡意行為者可以利用這些漏洞來獲得未授權存取、中斷操作並竊盜敏感資料,從而導致潛在的財務損失、操作停機和安全性受損。工業網路的複雜性和規模使得保護多個地點的不同系統變得困難,從而放大了這些風險。
COVID-19 大流行對工業自動化產生了重大影響。隨著公司尋求盡量減少人際接觸並以更少的現場人員維持營運,自動化技術的採用加速了。製造、物流和食品生產等行業越來越依賴機器人和自動化系統來執行從組裝到倉庫管理等各種任務。這項轉變不僅確保了業務連續性,也突顯了自動化流程在中斷期間的彈性和效率。
預計硬體領域將在預測期內成為最大的領域
預計硬體領域將在預測期內成為最大的領域。工業自動化中的硬體整合透過提高效率、精度和擴充性正在徹底改變製造流程。感測器、致動器和可程式邏輯控制器 (PLC) 等先進硬體組件構成了現代工業自動化系統的支柱。這些組件可以即時監控機器和流程,促進即時調整以最佳化效能並最大限度地減少停機時間。此外,硬體的進步促進了互連系統的發展,形成了工業物聯網 (IIoT)。這種互連性可以實現設備和中央控制系統之間的無縫資料交換,從而促進智慧決策和預測性維護能力。
預計汽車業在預測期內複合年成長率最高。
預計汽車業在預測期內複合年成長率最高。機器人和自動化組裝等汽車創新技術正在應用於各個行業,以提高效率、精度和安全性。先進的機器人技術最初是為汽車製造而開發的,現在可以在從電子到食品加工的各個行業中實現任務自動化,從而顯著減少人為錯誤並提高生產力。此外,機器視覺系統和人工智慧主導的品管等受汽車啟發的技術正在提高產品的一致性和檢測準確性。這些技術從汽車到工業自動化的無縫過渡正在重塑生產格局,從而能夠快速適應市場需求並降低營運成本。
由於對提高生產力和效率的需求不斷成長,北美地區在預測期內佔據了最大的市場佔有率。這一趨勢主要是由機器人、人工智慧和物聯網(IoT)應用等技術進步所推動的,這些技術正在改變全部區域的傳統製造和工業流程。公司擴大投資於自動化解決方案,以簡化業務、降低成本並提高整體生產品質。此外,維持全球市場競爭力的需求進一步推動該地區汽車、電子和製藥等各行業採用自動化技術。
預計歐洲地區在預測期內將保持盈利成長。透過實施旨在提高效率、安全和環境永續性的標準和指令,各國政府正在獎勵該地區的工業採用先進的自動化技術。例如,歐盟機械指令等法規確保自動化系統符合嚴格的安全要求,不僅保護工人,也鼓勵公司投資尖端自動化解決方案。此外,促進能源效率和減少碳足跡的政策要求全部區域行業採用自動化技術,以最佳化能源使用並盡量減少對環境的影響。
According to Stratistics MRC, the Global Industrial Automation Market is accounted for $259.15 billion in 2024 and is expected to reach $517.03 billion by 2030 growing at a CAGR of 12.2% during the forecast period. Industrial automation refers to the use of control systems such as computers or robots for handling different processes and machinery in an industrial setting. The primary objective is to replace human intervention with technological solutions that can operate continuously and efficiently, often with greater precision and speed than human workers. Industrial automation systems typically involve sensors, actuators, and PLCs (Programmable Logic Controllers) to monitor and control various operations.
According to the IBEF automobile industry report, the two-wheelers segment dominates the market in terms of volume due to a growing middle-class population, and a considerable percentage of India's population is young.
Rising demand for operational efficiency
The increasing emphasis on operational efficiency in industrial automation reflects a pivotal shift towards optimizing production processes and resource utilization. Businesses are increasingly leveraging advanced technologies such as Internet of Things (IoT), artificial intelligence (AI), and machine learning to streamline operations, minimize downtime, and enhance overall productivity. Automation systems are designed to not only perform repetitive tasks with precision but also to gather and analyze data in real-time, enabling proactive decision-making and predictive maintenance. This proactive approach reduces operational costs, improves product quality, and ensures compliance with stringent industry standards.
Integration complexity
The complexity in integrating industrial automation arises from several factors that collectively pose significant challenges. Industrial environments often involve legacy systems that were not designed to communicate or integrate seamlessly with modern automation technologies. This necessitates extensive retrofitting or replacement to ensure compatibility and functionality across the board. Each system may operate on different protocols, standards, or proprietary interfaces, complicating efforts to achieve unified control and monitoring. However, the scale and scope of industrial operations amplify integration challenges, requiring robust infrastructure, data security measures, and skilled personnel capable of handling complex integrations.
Advancements in robotics and AI
Advancements in robotics and AI are revolutionizing industrial automation by significantly enhancing efficiency, precision, and flexibility across various sectors. AI-driven robotics can perform complex tasks with greater accuracy and speed than human labor, reducing errors and operational costs while improving overall productivity. Machine learning algorithms enable robots to adapt and learn from their environment, optimizing processes and minimizing downtime through predictive maintenance and real-time adjustments. Furthermore, collaborative robots (cobots) equipped with AI can safely work alongside humans, enhancing workplace safety and ergonomics.
Cybersecurity concerns
Cybersecurity concerns pose a significant obstacle to the advancement of Industrial Automation. As industries increasingly adopt interconnected systems and Internet of Things (IoT) devices, they become vulnerable to cyber threats. Malicious actors can exploit these vulnerabilities to gain unauthorized access, disrupt operations, or steal sensitive data, leading to potential financial losses, operational downtime, and compromised safety. The complexity and scale of industrial networks amplify these risks, as securing diverse systems across various locations becomes challenging.
The COVID-19 pandemic significantly impacted industrial automation. It accelerated the adoption of automation technologies as companies sought to minimize human contact and maintain operations with fewer on-site personnel. Industries like manufacturing, logistics, and food production increasingly turned to robots and automated systems for tasks ranging from assembly lines to warehouse management. This shift not only ensured operational continuity but also highlighted the resilience and efficiency of automated processes during disruptions.
The Hardware segment is expected to be the largest during the forecast period
Hardware segment is expected to be the largest during the forecast period. The integration of hardware in industrial automation is revolutionizing manufacturing processes by enhancing efficiency, precision, and scalability. Advanced hardware components such as sensors, actuators, and programmable logic controllers (PLCs) form the backbone of modern industrial automation systems. These components enable real-time monitoring of machinery and processes, facilitating immediate adjustments to optimize performance and minimize downtime. Moreover, advancements in hardware have led to the development of interconnected systems that form the Industrial Internet of Things (IIoT). This interconnectedness allows for seamless data exchange between devices and centralized control systems, fostering intelligent decision-making and predictive maintenance capabilities.
The Automotive segment is expected to have the highest CAGR during the forecast period
Automotive segment is expected to have the highest CAGR during the forecast period. Automotive innovations, such as robotics and automated assembly lines, are being adapted across various industrial sectors to enhance efficiency, precision and safety. Advanced robotics, originally developed for automotive manufacturing, now automate tasks in industries ranging from electronics to food processing, significantly reducing human error and increasing productivity. Moreover, automotive-inspired technologies like machine vision systems and AI-driven quality control are improving product consistency and inspection accuracy. The seamless transfer of these technologies from automotive to industrial automation is reshaping production landscapes, enabling faster adaptation to market demands and reducing operational costs.
North America region commanded the largest share of the market over the extrapolated period driven by escalating demands for heightened productivity and efficiency. This trend is largely fueled by advancements in technologies such as robotics, artificial intelligence, and Internet of Things (IoT) applications, which are transforming traditional manufacturing and industrial processes across the region. Companies are increasingly investing in automation solutions to streamline operations, reduce costs and enhance overall output quality. Moreover, the need to remain competitive in a global market further propels this regional adoption of automation technologies across various industries including automotive, electronics and pharmaceuticals.
Europe region is poised to hold profitable growth during the forecasted period. By imposing standards and directives aimed at promoting efficiency, safety and environmental sustainability, governments incentivize industries to adopt advanced automation technologies across the region. For instance, regulations such as the European Union's Machinery Directive ensure that automated systems meet stringent safety requirements, which not only protects workers but also encourages companies to invest in state-of-the-art automation solutions. Moreover, policies promoting energy efficiency and reducing carbon footprints push industries towards automation technologies that optimize energy usage and minimize environmental impact across the region.
Key players in the market
Some of the key players in Industrial Automation market include ABB Ltd, Eaton Corporation, Emerson Electric Co, General Electric Company, Keyence Corporation, Mitsubishi Electric Corporation, Omron Corporation, Rockwell Automation, Inc, Schneider Electric SE and Siemens AG.
In June 2023, The Schaefer Systems International Pvt. Ltd launched a fully automated piece-picking system with numerous innovative features the SSI Piece Picking application. This versatile solution includes dedicated smart software and boasts advanced functions such as object recognition using artificial intelligence (AI), pick-and-place, patented gripping point determination, and extremely gentle product handling.
In June 2023, Mitsubishi Electric announced that its wholly owned subsidiary ICONICS, Inc., has formally agreed to completely acquire ICONICS UK, Ltd., which sells supervisory control and data acquisition (SCADA)1 software and develops related cloud applications. Mitsubishi Electric and ICONICS plan to leverage ICONICS UK's technology and to establish a Circular Digital-Engineering business model for factory-automation solutions that optimize factory equipment and systems.
In October 2022, Rockwell Automation Inc., a company dedicated to industrial automation and digital transformation, acquired the company CUBIC, which is dedicated to modular systems for the construction of electric panels.