市场调查报告书
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2030 年工业自动化市场预测:按组件、最终用户和地区分類的全球分析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 |
根据Stratistics MRC的数据,2024年全球工业自动化市场规模为2,591.5亿美元,预计预测期内复合年增长率为12.2%,到2030年将达到5,170.3亿美元。
工业自动化是指使用电脑和机器人等控制系统来处理工业环境中的各种流程和机器。主要目标是用能够持续高效运作的技术解决方案取代人工干预,并且通常比人类工人具有更高的精度和速度。工业自动化系统通常包括感测器、致动器和 PLC(可程式逻辑控制器)来监控和控制各种操作。
根据 IBEF 的汽车产业报告,由于印度年轻人口占很大比例且中产阶级不断壮大,两轮车市场在单位数量上占据主导地位。
对业务效率的需求不断增加
对工业自动化业务效率的日益关注反映了向优化生产流程和资源利用的关键转变。越来越多的公司正在利用物联网 (IoT)、人工智慧 (AI) 和机器学习等先进技术来简化业务、最大限度地减少停机时间并提高整体生产力。自动化系统的设计不仅可以准确地执行重复性任务,还可以即时收集和分析资料,以实现主动决策和预测性维护。这种积极主动的方法降低了营运成本,提高了产品质量,并符合严格的行业标准。
整合复杂度
工业自动化整合的复杂性是由多种因素造成的。工业环境通常使用无法与现代自动化技术无缝通讯或整合的旧有系统。这需要大量维修或更换,以确保整体相容性和功能。每个系统可能使用不同的通讯协定、标准或专有介面运行,从而使实现统一控制和监视的工作变得复杂。然而,工业营运的规模和范围加剧了整合挑战,需要强大的基础设施、资料安全措施和熟练的人才来处理复杂的整合。
机器人和人工智慧的进步
机器人和人工智慧的进步显着提高了各个领域的效率、精度和灵活性,正在彻底改变工业自动化。人工智慧驱动的机器人可以比人类以更高的精度和速度执行复杂的任务,减少错误和营运成本,同时提高整体生产力。机器学习演算法使机器人能够适应环境并从中学习,透过预测性维护和即时调整来优化流程并最大限度地减少停机时间。此外,由人工智慧驱动的协作机器人(cobots)可以安全地与人类一起工作,提高职场的安全性和人体工学。
网路安全问题
网路安全问题是工业自动化进步的主要障碍。随着各行业越来越多地部署互连繫统和物联网 (IoT) 设备,它们变得越来越容易受到网路威胁。恶意行为者可以利用这些漏洞来获得未授权存取、中断操作并窃盗敏感资料,从而导致潜在的财务损失、操作停机和安全性受损。工业网路的复杂性和规模使得保护多个地点的不同系统变得困难,从而放大了这些风险。
COVID-19 大流行对工业自动化产生了重大影响。随着公司寻求尽量减少人际接触并以更少的现场人员维持运营,自动化技术的采用加速了。製造、物流和食品生产等行业越来越依赖机器人和自动化系统来执行从组装到仓库管理等各种任务。这项转变不仅确保了业务连续性,也突显了自动化流程在中断期间的弹性和效率。
预计硬体领域将在预测期内成为最大的领域
预计硬体领域将在预测期内成为最大的领域。工业自动化中的硬体整合透过提高效率、精度和扩充性正在彻底改变製造流程。感测器、致动器和可程式逻辑控制器 (PLC) 等先进硬体组件构成了现代工业自动化系统的支柱。这些组件可以即时监控机器和流程,促进即时调整以优化效能并最大限度地减少停机时间。此外,硬体的进步促进了互连繫统的发展,形成了工业物联网 (IIoT)。这种互连性可以实现设备和中央控制系统之间的无缝资料交换,从而促进智慧决策和预测性维护能力。
预计汽车业在预测期内复合年增长率最高。
预计汽车业在预测期内复合年增长率最高。机器人和自动化组装等汽车创新技术正在应用于各个行业,以提高效率、精度和安全性。先进的机器人技术最初是为汽车製造而开发的,现在可以在从电子到食品加工的各个行业中实现任务自动化,从而显着减少人为错误并提高生产力。此外,机器视觉系统和人工智慧主导的品管等受汽车启发的技术正在提高产品的一致性和检测准确性。这些技术从汽车到工业自动化的无缝过渡正在重塑生产格局,从而能够快速适应市场需求并降低营运成本。
由于对提高生产力和效率的需求不断增长,北美地区在预测期内占据了最大的市场份额。这一趋势主要是由机器人、人工智慧和物联网(IoT)应用等技术进步所推动的,这些技术正在改变全部区域的传统製造和工业流程。公司越来越多地投资于自动化解决方案,以简化业务、降低成本并提高整体生产品质。此外,维持全球市场竞争力的需求进一步推动该地区汽车、电子和製药等各行业采用自动化技术。
预计欧洲地区在预测期内将保持盈利成长。透过实施旨在提高效率、安全和环境永续性的标准和指令,各国政府正在奖励该地区的工业采用先进的自动化技术。例如,欧盟机械指令等法规确保自动化系统符合严格的安全要求,不仅保护工人,也鼓励公司投资尖端自动化解决方案。此外,促进能源效率和减少碳足迹的政策要求全部区域行业采用自动化技术,以优化能源使用并尽量减少对环境的影响。
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.