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INDUSTRIAL AUTOMATION MARKET Size and trends

Industrial Automation Market, By Component (Hardware, Software, Services), By Technology (Programmable Logic Controllers (PLC), Supervisory Control and Data Acquisition (SCADA), Distributed Control Systems (DCS), Human-Machine Interface (HMI), Industrial Robotics), By Application (Manufacturing, Oil and Gas, Energy and Power, Chemicals, Food and Beverages, Pharmaceuticals), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)

Industrial Automation Market Size and Trends

Global industrial automation market is estimated to be valued at USD 238.13 Bn in 2025 and is expected to reach USD 449.77 Bn by 2032, exhibiting a compound annual growth rate (CAGR) of 9.5% from 2025 to 2032.

Industrial Automation Market Key Factor

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Global industrial automation market growth is driven by rapid digitalization and rising adoption of industrial internet of things (IIoT) based solutions across industries.

The key trend in the industrial automation market has been increasing investments by manufacturers in adoption of advanced robotics and IoT based technologies to drive productivity and operational efficiency. Adoption of AI and machine learning in automation has also been growing globally. Enhanced data analytics capabilities and advance robotics solutions helps industries to optimize process management.

Growing adoption of IoT and Industry 4.0 technologies

Industrial revolution changed the landscape of industrial production by introducing mechanical manufacturing processes driven by steam and water power. Fourth Industrial Revolution is upon the manufacturing sector and promises to transform how goods will be produced once again. IoT and Industry 4.0 technologies that connect the physical world of factories and machines to controllers, software, sensors and people in an internet-based system enables increasingly intelligent and adaptive production. Manufacturers are realizing significant productivity gains from linking their physical operations to digital systems in ways that improve visibility into processes, optimize workflows, preempt downtime and enhance asset utilization.

Industry 4.0 technologies facilitate data collection from embedded sensors and machines on factory floors. This production data when analyzed with advanced analytics yields valuable insights into equipment performance, material usage and quality control. Manufacturers can predict maintenance needs, detect inefficiencies and orchestrate production flows in a more coordinated manner to maximize output. The connectivity afforded by IoT also allows for remote monitoring and management of industrial equipment. Issues can be addressed remotely before escalating to full breakdowns. The trove of operational intelligence gathered through IoT further aids in simulating “what if” scenarios to refine production processes.

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