Advanced Process Control (APC) Software Market Key Data

Advanced Process Control (APC) Software Market Key Data

The global advanced process control (APC) market size was $3.1 billion in 2024 and is expected to reach $5.3 billion by 2033, at a CAGR of 9% during the period from 2024 to 2033.

Advanced Process Control (APC) is a collection of advanced techniques and technologies applied in industrial process control systems to optimize performance and efficiency. In contrast to simple process controls, which manage straightforward operations, APC systems employ advanced algorithms to forecast future process behaviors and adjust accordingly for maximum performance. APC is typically applied in continuous process industries like chemical, petrochemical, oil and mineral refining, food processing, pharmaceuticals, and power generation.

Advanced Process Control (APC) Software
Advanced Process Control (APC) Software

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Recent Advances in Advanced Process Control (APC) Industry

In February 2024, General Electric Company’s subsidiary GE Vernova launched Proficy, a cutting-edge AI-driven software that assists manufacturers in attaining sustainability objectives while improving productivity and profitability. The advanced solution combines operational and sustainability information, allowing industrial businesses to maximize the use of resources and maintain compliance with climate-related regulations.
In March 2024, Yokogawa Electric Corporation launched OpreX Robot Management Core, a software tool that integrates and controls different types of mobile robots carrying out plant maintenance tasks that were traditionally the preserve of humans. The solution helps increase safety and efficiency in manufacturing processes through the ability to centrally control various types of robots and pave the way towards autonomous plant operation.
Key Benefits For Stakeholders

Advanced Process Control (APC) Software Market, By Type of APC Software
Advanced Regulatory Control (ARC)
ARC software concentrates on regulatory control and process stabilization within set limits.
Multivariable Model Predictive Control (MPC)
MPC software employs mathematical models for optimizing complicated, multivariable processes and thus is apt for industries with complex operations.
Inferential Control
Inferential control software applies statistical and inferential models to approximate unmeasured process variables and make control decisions.
Sequential Control Sequential control programs are employed to sequence and control operations, for example, batch operations in pharmaceutical and chemical industries.
Optimization Software Optimization programs aim to maximize process efficiency in real-time or otherwise and are employed in dynamic and adaptive control-demanding industries.

Advanced Process Control (APC) Software Market, By Deployment Mode
On-PremisesAPC programs are deployed on an organization’s proprietary infrastructure, with control and security but the need for internal management.
Cloud-BasedCloud-based APC solutions are scalable, accessible, and less expensive in terms of IT infrastructure, ideal for organizations in search of flexibility.

Advanced Process Control (APC) Software Market, By Geography
North America Market situation and demand in the United States, Canada, and Mexico.
Europe Study of the Advanced Process Control (APC) Software Market in the nations of Europe.
Asia-Pacific Hoping on China, India, Japan, South Korea, and other countries.
Middle East and Africa Study of market trends in the Middle East and African continent.

Latin America Including market trends and developments in nations in Latin America.

Advanced Process Control (APC) Software
Advanced Process Control (APC) Software

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Key Players
The key players in the Global Advanced Process Control (APC) Software Market are

Aspen Technology
Honeywell
GE Digital
Siemens
Emerson Electric
Yokogawa
Schneider Electric
ABB
Rockwell Automation
AVEVA
OSIsoft
ProSim

 

By Component
  • Hardware
  • Software
  • Services
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By Technology
  • Advanced Regulatory Control (ARC)
  • Multivariable Model Predictive Control (MPC)
  • Sequential Control
  • Inferential Control
  • Compressor Control
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By End user
  • Oil and Gas
  • Food and Beverages
  • Pharmaceuticals
  • Power
  • Others
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By Region
  • North America  (U.S., Canada, Mexico)
  • Europe  (Germany, France, UK, Rest of Europe)
  • Asia-Pacific  (China, Japan, India, South Korea, Rest of Asia-Pacific)
  • LAMEA  (Latin America, Middle East, Africa)
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Key Market Players

Schneider Electric, General Electric Company, ABB Ltd., Honeywell International Inc., Siemens AG, Rockwell Automation Inc., Onto Innovation, Inc., SAP SE, Emerson Electric Corporation, Yokogawa Electric Corporation

Analyst Review

The world advanced process control (APC) market is expected to witness high growth in the next few years, fueled by increase in automation and digitalization adoption across industries. Oil & gas, chemicals, and power generation industries are using APC technologies to maximize operational efficiency, lower costs, and improve process precision. With increasing global energy demand, APC solutions have become a necessity in refining processes and energy-intensive manufacturing processes, providing accurate control and real-time optimization. The use of sophisticated algorithms, machine learning, and artificial intelligence in APC further enhances its usage, allowing industries to anticipate anomalies, enhance process stability, and attain higher yields.

The growth in the advanced process control (APC) market is driven by another factor of increased focus on sustainability and regulatory compliance. Regulatory bodies and governments around the world are putting additional pressure on industries to embrace more efficient and clean technologies in a bid to mitigate their carbon impacts. APC solutions enable industries to meet such standards by optimizing the use of energy, curbing waste, and improving resource effectiveness overall. The food and pharma segments are also among the major end-users, with the latter deploying APC to help maintain product consistency, comply with stringent regulatory protocols, and facilitate streamlined production procedures.