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Programmable Automation Controller (PAC) Programming Software Global Market Report 2024 by The Business Research Company |Siemens AG; General Electric Company; Panasonic Holdings Corporation; Mitsubishi Electric Corporation; Schneider Electric SE; Honeywe
Programmable Automation Controller (PAC) Programming Software Market Trends
The programmable automation controller (PAC) programming software market size is expected to see rapid growth in the next few years. It will grow to $31.36 billion in 2028 at a compound annual growth rate (CAGR) of 17.8%. The growth in the forecast period can be attributed to demand for augmented reality (AR) and virtual reality (VR) integration, focus on digital twin technology, expansion of industrial IoT (IIOT) application, adoption of edge computing, and expansion of 5G networks. Major trends in the forecast period include the adoption of open standards and interoperability, the rise of hybrid and hybrid cloud architectures, emphasis on sustainability and green technologies, a shift towards low-code and no-code development, and a shift towards software-defined automation.
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Programmable Automation Controller (PAC) Programming Software Market Major Segments
The programmable automation controller (pac) programming software market covered in this report is segmented -
1) By Type: HMI (Human Machine Interface) Software, Advanced Process Control (APC), Open Programmable Automation Controller System Server, Database Connectivity, Asset Management, Integrated Development Environment (IDE), Other Types
2) By Applications: Discreet Manufacturing, Process Manufacturing, Automotive, Semiconductor, Energy And Utilities, Chemical, Other Applications
3) By End User: Oil And Gas, Electric Power Construction, Food And Beverages, Water And Wastewater, Other End Users
Key Driver - Automation Driving Programmable Automation Controller (PAC) Programming Software Market Growth
The rise in automation is expected to propel the growth of the programmable automation controller (PAC) programming software market going forward. Automation refers to the use of technology, such as machinery, software, or robotics, to perform tasks or processes with minimal human intervention. Automation is rising due to advancements in technology, increasing demand for efficiency and productivity, and the need to mitigate labor shortages and reduce operational costs. Programmable automation controller (PAC) programming software facilitates the development and implementation of customized automation solutions by enabling the configuration and control of complex industrial processes through intuitive programming interfaces. For instance, in September 2023, according to the International Federation of Robotics, a Germany-based non-profit organization, the installation of industrial robots surpassed 500,000 units in 2022, contributing an additional 5% to the previous record of 526,144 units installed in 2021. Additionally, in Asia, 404,578 units were installed, reflecting a 5% increase from the 2021 figure of 385,143 units. Therefore, the rise in automation is driving the growth of the programmable automation controller (PAC) programming software market.
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Prominent Trend - Advanced Open Programming Automation Controllers Enhance Industrial Automation
Major companies operating in the programmable automation controller (PAC) programming software market are focused on developing innovative products, such as open programming automation controllers, to boost their revenue in the market. An open programming automation controller refers to a type of PAC that offers an open-source or flexible programming environment that allows developers to customize and adapt automation solutions according to specific requirements. For instance, in May 2022, Emerson Electric Manufacturing Company, a US-based engineering, software, and technology company, launched the PACSystems RSTi-EP, which provides a smooth connection with PAC programming tools and strong programming capabilities. It facilitates effective automation and control processes, increases productivity, and improves dependability in industrial operations. The PACSystems RSTi-EP features real-time monitoring and communication protocol support to make automation and control processes more effective.
Programmable Automation Controller (PAC) Programming Software Market Players
Major companies operating in the programmable automation controller (PAC) programming software market report are Siemens AG; General Electric Company; Panasonic Holdings Corporation; Mitsubishi Electric Corporation; Schneider Electric SE; Honeywell International Inc.; ABB Ltd.; Eaton Corporation; Emerson Electric Manufacturing Co; Delta Electronics Inc.; Rockwell Automation Inc.; Omron Corporation; Bosch Rexroth AG; Yaskawa Electric Corporation; Yokogawa Electric Corporation; Beckhoff Automation GmbH & Co KG; Phoenix Contact GmbH & Co KG; Advantech Co. Ltd.; WAGO Kontakttechnik GmbH & Co KG; SICK AG; National Instruments Corporation; B&R Industrial Automation GmbH; IDEC Corporation; Red Lion Controls
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Largest And Fastest Growing Region In The Market
North America was the largest region in the programmable automation controller (PAC) programming software market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the programmable automation controller (PAC) programming software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The Table Of Content For The Market Report Include:
1. Executive Summary
2. Programmable Automation Controller (PAC) Programming Software Market Report Structure
3. Programmable Automation Controller (PAC) Programming Software Market Trends And Strategies
4. Programmable Automation Controller (PAC) Programming Software Market - Macro Economic Scenario
5. Programmable Automation Controller (PAC) Programming Software Market Size And Growth
…..
27. Programmable Automation Controller (PAC) Programming Software Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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