The global process automation market is estimated to grow at a CAGR of nearly 7.5% during the forecast period. Rising demand for industrial robots was reported across the globe, which in turn, is contributing to the growth of the market. For instance, as per the International Federation of Robotics (IFR), the estimated annual supply of industrial robots in the automotive industry has increased from 103,000 units in 2016 to 116,000 in 2018. Electrical/electronic held the second-largest position in industrial robots with 113,000 units’ installation in 2018. This represents a growth in industrial automation process across the manufacturing sector to increase productivity and save time and cost.
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As robots perform repetitive tasks, the integration of AI can support to increase its accuracy and reliability and can perform quality control and predictive maintenance operations.AI and robotics are considered as a strong integration for automating tasks inside the factory. AI can have significant use in robotic solutions that encourages flexibility and learning capabilities. For instance, AI is a valuable tool in applications of robotic assembly. Along with advanced vision systems, AI can support real-time monitoring and controlling, which has significance in complex manufacturing sectors, such as automobile and aerospace and defense. The automobile industry constantly uses advanced technologies to bring safe, innovative, and efficient vehicles to market, while constantly reduce production costs.
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Currently, these technologies comprise AI and high-performance computing. Over the decades, the industry has invested significantly in high-performance computing (HPC) systems to power modelling, design and simulation applications. The automotive manufacturers across the globe recognize that smart vehicles are the future where AI is extensively used to increase its capabilities and offer a better driving experience.One of the major instances of integration of robotics and AI is the APAS assistant mobile which is a movable and collaborative robot to conduct flexible applications in the smart manufacturing facilities. It is an intelligent robot assistant platform that can offer benefits such as fast and cost-efficient realization applications for new product variants, easy handling and intuitive operation, and high robustness.
For instance, Robert Bosch used two APAS assistant collaborative robots in the production of diesel injection systems for utility vehicles. These two robots complement a shielded laser welding station and increase the efficiency and productivity of the overall line. It provides relief to the employees involved in monotonous and repetitive job at an ergonomically challenging worksite. The effectiveness of the robot is led by machine learning capabilities, which in turn, increases the reliability of robotic platforms and thereby driving the global process automation market.
Global Process Automation Market- Segmentation
By Technology
- Supervisory Control and Data Acquisition (SCADA)
- Human Machine Interface (HMI)
- Distributed Control System (DCS)
- Programmable Logic Controller (PLC)
- Enterprise Resource Planning (ERP)
- Others
By Component
- Hardware
- Software and Services
By End-User Industry
- Oil and Gas
- Electrical and Electronics
- Chemical
- Retail
- Food and Beverage
- Pharmaceutical and Life Science
- Manufacturing (Metal and Paper and Pulp)
- Automobile
- Others
Global Process Automation Market– Segment by Region
North America
- US
- Canada
Europe
- Germany
- UK
- France
- Spain
- Italy
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
Rest of the World
- Latin America
- Middle East and Africa
Company Profiles
- ABB Ltd.
- Advantech Co., Ltd.
- Danaher Corp.
- Dassault Systèmes SE
- Eaton Corp. plc
- Emerson Electric Co.
- Honeywell International Inc.
- Johnson Controls, Inc.
- Mitsubishi Corporation (MC)
- Omron Corp.
- Phoenix Contact
- Robert Bosch GmbH
(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)
