Automated Process Control System Market Outlook from 2024 to 2034

The global sales of automated process control system is estimated to be worth USD 67,486 million in 2024 and is anticipated to reach a value of USD 130,490 million by 2034. Sales are projected to rise at a CAGR of 6.7% over the forecast period between 2024 and 2034. The revenue generated by automated process control system in 2023 was USD 63,360 million.

The industry is predicted to exhibit a Y-o-Y growth of 4.9% in 2024. This projected growth indicates a value growth of nearly 2.3X from the current value over the study period.

Automated Process Control Systems helps in enhancing efficiency, as it helps in integrating advanced technologies to monitor and control industrial processes in real time. There are features which are induced such as adaptive algorithms that reduce downtime, predictive maintenance, precise control, improve accuracy, and optimize resource utilization.

Oil & gas, pharmaceuticals, and manufacturing industries use such systems to automate complex processes, ensure safety, and achieve consistent output quality. Rising adoption is driven by the need for operational agility, increasing industrial digitization, and the growing focus on sustainability. Emerging economies in Asia-Pacific lead to adoption due to rapid industrial growth and urbanization.

Attributes Key Insights
Estimated Value (2024) USD 67,486 million
Projected Size (2034) USD 130,490 million
Value-based CAGR (2024 to 2034) 6.7%

Distributed Control Systems provide enhanced process efficiency, reliability, and safety, centralized monitoring and decentralized control. Its helps in seamless integration of additional processes, making it suitable for completing complex industrial setups.

The advanced technologies are integrated with the real-time data analytics, process visualization, and predictive maintenance. It is easy to make use and ensure streamlined monitoring and control of intricate systems in various industries like chemicals, and pharmaceuticals and oil & gas, power generation. Industries are highly dependent on DCS to manage their complex processes, and make sure there is constancy in the result.

Programmable automation is used in automated systems for batch production and repetitive tasks that need flexibility. It's commonly used in the automotive and electronics industries. This type of automation works well for small to medium production runs, helping manufacturers quickly adapt to market needs.

Programmable automation is widely used due to its flexibility, precision, and adaptability for batch production and frequent process changes. It allows easy reprogramming to meet varying production needs, ensuring cost efficiency and reduced downtime. Its versatility makes it ideal for industries like automotive, electronics, and food processing, where customization, scalability, and rapid market response are critical.

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Key Industry Highlights

The rise of integrating AI, IoT, and machine learning, enhancing efficiency and automation in industries

The integration of AI, IoT, and machine learning is shifting the automated process control system market by providing the complex step solution in the different industries. IoT enables connectivity among devices and systems for seamless communication and centralized control. These above mentioned technologies provide or enhance operational efficiency which is of prime importance for industries. Other features like predictive maintenance intimation helps in prevention or mitigation of downtime.

Automation reduces downtime, improves accuracy, and optimizes resource usage across industries

Automation is transforming industries by minimizing downtime through predictive maintenance and real-time monitoring, ensuring seamless operations. It enhances accuracy by reducing human errors, standardizing processes, and delivering consistent quality outputs.

Resource optimization is achieved through precise control over production processes, reducing waste, and improving energy efficiency. These benefits make automation a critical driver for industries like manufacturing, logistics, and energy, fostering increased adoption of automated systems to improve productivity and cost-effectiveness.

Ensuring real-time monitoring, process control, and adherence to stringent industry regulations

Automation facilitates real-time monitoring by continuously tracking system performance, enabling immediate detection and resolution of issues. It ensures precise process control, adjusting parameters dynamically to maintain optimal operation and consistent product quality. These systems is helpful as it is as per the industry standards, and it provide the safety and maintain the standards which are required by the industries to carry the work in organized manner.

High initial investment costs and complex integration processes may hinder the adoption of automation systems

High initial investment costs and complex system integration can limit the adoption of automated process control systems. Many industries, especially in emerging markets, may find it challenging to justify the upfront expenses and the time required for system installation and training. This financial and operational barrier can slow down the widespread adoption of automation technologies.

2019 to 2023 Global Automated Process Control Sales Outlook Compared to Demand Forecast from 2024 to 2034

The automated process control system recorded a CAGR of 6.7% during the historical period between 2019 and 2023. The growth of automated process control system was positive as it reached a value of USD 63,360 million in 2023 from USD 56,413 million in 2019.

During the pandemic, the disruption in global supply chains, lockdowns, and labor shortages delayed the installation, integration, and maintenance of APCS in several industries. Many companies faced difficulty in procuring components and had to adjust their operations to remote work setups, affecting system monitoring and troubleshooting. The financial problem delayed or scaled down investments in new automation projects, leading to a temporary slowdown in market growth.

The pandemic accelerated the digital transformation across industries With remote work becoming the norm and social distancing requirements, the demand for contactless operations and real-time monitoring increased.

Industries in pharmaceuticals, food production, and healthcare, which required robust automation for continuity and compliance, turned to APCS to maintain production, manage supply chains, and ensure public health safety. This shift pushed for accelerated adoption of advanced process control systems.

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Market Concentration

Tier 1 companies comprise players with a revenue of above USD 25 million capturing a significant share of 35-40% in the global market. These players are characterized by high production capacity and a wide product portfolio.

These leaders are distinguished by their extensive expertise in manufacturing and reconditioning across multiple packaging formats and a broad geographical reach, underpinned by a robust consumer base. Prominent companies within Tier 1 include ABB, Schneider Electric, Madox Technologies pvt. Ltd, Rockwell Automation, and other players.

Tier 2 companies include mid-size players with revenue of below USD 25 million having a presence in specific regions and highly influencing the local industry. These are characterized by a strong presence overseas and strong industry knowledge. These players have good technology and ensure regulatory compliance but may not have advanced technology and wide global reach. Prominent companies in tier 2 include Alizent, B&R, and other player.

Country-wise Insights

The section below covers the industry analysis for automotive cabin air quality sensor demand in different countries. The demand analysis on key countries in several regions of the globe, including North America, Latin America, East Asia, South Asia Pacific, Western Europe, Eastern Europe, Middle East, and Africa is provided.

China will hold 76.4% in East Asia due to its rapid industrialization and demand for efficiency drive automation adoption. The USA will capture 74.8% of North America owing to technological innovation and focus on improving operational efficiency. Germany will lead Western Europe with 34.3% due to industry 4.0 adoption and advanced manufacturing capabilities.

Countries Value CAGR (2024 to 2034)
Brazil 48.4%
India 58.3%
The USA 74.8%
Germany 34.3%
China 76.4%

China's growth is driven due to its rapid industrialization and demand for efficiency drive automation adoption

The sale of automated process control system in China is projected to reach USD 21,773 million and is estimated to grow at an 6.8% CAGR by 2034.

China's growth in the automated process control system market is because of rise in industrialization and usage in infrastructure sector. China continues to invest in modernizing its industrial infrastructure, adopting advanced technologies to provide positive results.

Automation provides efficiency in operational activity. Additionally, China's focus on smart manufacturing, energy efficiency, and environmental sustainability further accelerates the adoption of automated control systems, positioning them as a key component in driving industrial growth and technological advancement.

USA growth fueled by technological innovation and focus on operational efficiency

The sales in the USA are projected to reach USD 20,181 million by 2034. Over the forecast period, demand for automated process control system in the automotive industry within the USA is predicted to grow at a 5.4% CAGR.

The USA's growth because of high focus on technological innovation. The USA is continuously developing cutting-edge automation technologies, which enhance system performance and the end result. The push for digital transformation and the need to maintain global competitiveness further accelerates the demand for advanced automated control systems, driving market growth in the USA.

Germany's growth is driven by industry 4.0 adoption and advanced manufacturing capabilities

The sale of automated process control system in Germany is projected to reach USD 7,507 million and grow at a CAGR of 5.2% by 2034.

Germany has embraced digital transformation, integrating smart technologies into production processes. This shift towards highly automated, interconnected systems enhances operational efficiency, product quality, and flexibility. The industries, particularly in automotive, is rapidly adopting automated control systems to meet increasing demand for customized, high-quality products.

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Category-wise Insights

The section explains the growth trajectories of the leading segments in the industry. In terms of sensor type, the Distributed Control Systems (DCS) system type will likely dominate and generate a share of around 27.0% in 2024.

Based on the automation type, the Programmable segment is projected to hold a major share of 44.5% in 2024. The analysis would enable potential clients to make effective business decisions for investment purposes.

Centralized monitoring, scalability, and reliability make DCS ideal for complex industries drives the growth of distributed control systems (DCS)

Segment Distributed Control Systems (DCS) (System Type)
Value Share (2024) 27.0%

Distributed Control Systems provides enhanced process efficiency, reliability, and safety, centralized monitoring and decentralized control. Its helps in seamless integration of additional processes, making it suitable for completing complex industrial setups.

The advanced technologies are integrated with the real-time data analytics, process visualization, and predictive maintenance. It is easy to make use and ensures streamlined monitoring and control of intricate systems in various industries like chemicals, and pharmaceuticals and oil & gas, power generation. Industries are highly dependent on DCS to manage their complex processes, and making sure there is constancy in the result.

Flexibility, adaptability, and efficiency drive dominance of programmable automation in industries drive growth in automated control system.

Segment Programmable (Automation Type)
Value Share (2024) 44.5%

Programmable automation in Automated Process Control Systems is used for batch production and repetitive tasks requiring flexibility. It is make use in automotive as well as electronic industry. It is suitable in small-to-medium production runs, allowing manufacturers to quickly respond to market demands.

Programmable automation is widely used due to its flexibility, precision, and adaptability for batch production and frequent process changes. It allows easy reprogramming to meet varying production needs, ensuring cost efficiency and reduced downtime. Its versatility makes it ideal for industries like automotive, electronics, and food processing, where customization, scalability, and rapid market response are critical.

Competitive Landscape

Key companies manufacturing automated process control system slightly consolidate the market with about 35-40% share that are prioritizing technological advancements, integrating sustainable practices, and expanding their footprints in the region.

Customer satisfaction remains paramount, with a keen focus on tailoring machines to meet diverse automotive industry needs. These industry leaders’ actively foster collaborations to stay at the forefront of innovation, ensuring their automated process control system align with the evolving demands and maintain the highest standards of quality and adaptability.

Recent Industry Developments

  • In October 2021, Emerson acquired Progea, enhancing its capabilities in Industrial IoT (IIoT), HMI, and SCADA technologies, enabling better plant analytics and automation solutions.
  • In January 2024, Rockwell partnered with Microsoft to integrate cloud-based analytics, using AI and machine learning for predictive maintenance and enhanced process efficiencies.
  • In April 2023, Siemens introduced a new system for predictive maintenance in industrial environments, leveraging IoT sensors and AI for real-time insights, aimed at improving system reliability.

Key Players

  • ABB
  • Schneider Electric
  • Madox Technologies pvt. ltd
  • Rockwell Automation
  • Fuji Electric
  • Siemens
  • Bihl+Wiedemann GmbH
  • Aaxis Nano Technologies Pvt. Ltd
  • B&R
  • Process Precision Instruments
  • Alizent
  • PI Control Solution
  • Trimasys Control Solutions Pvt. Ltd.
  • Emerson
  • Mipac
  • Flintec
  • IndustLabs
  • ACS
  • InflexionPoint
  • RPA Engineering
Table of Content
  • 1. Executive Summary
  • 2. Industry Introduction, including Taxonomy and Market Definition
  • 3. Market Trends and Success Factors, including Macro-economic Factors, Market Dynamics, and Recent Industry Developments
  • 4. Global Market Demand Analysis 2019 to 2023 and Forecast 2024 to 2034, including Historical Analysis and Future Projections
  • 5. Pricing Analysis
  • 6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034
    • 6.1. System Type
    • 6.2. Automation Type
    • 6.3. Deployment Type
    • 6.4. Process Type
    • 6.5. End Use Industry
  • 7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By System Type
    • 7.1. Distributed Control Systems (DCS)
    • 7.2. Programmable Logic Controllers (PLC)
    • 7.3. Human-Machine Interfaces (HMIs)
    • 7.4. Supervisory Control and Data Acquisition (SCADA)
    • 7.5. Advanced Process Control (APC)
  • 8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Automation Type
    • 8.1. Fixed
    • 8.2. Programmable
    • 8.3. Flexible
  • 9. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment Type
    • 9.1. Cloud Based
    • 9.2. On-premises
    • 9.3. Hybrid
  • 10. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Process Type
    • 10.1. Batch Processing
    • 10.2. Continuous Processing
    • 10.3. Hybrid Processing
  • 11. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By End Use Industry
    • 11.1. Oil & Gas
    • 11.2. Chemical & Petrochemical
    • 11.3. Metal & Mining
    • 11.4. Energy & Power
    • 11.5. Automotive & Transport
    • 11.6. General Engineering
    • 11.7. IT & Telecommunication
    • 11.8. Paper & Pulp
    • 11.9. Others
  • 12. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
    • 12.1. North America
    • 12.2. Latin America
    • 12.3. Western Europe
    • 12.4. Eastern Europe
    • 12.5. East Asia
    • 12.6. South Asia Pacific
    • 12.7. Middle East and Africa
  • 13. North America Sales Analysis 2019 to 2023 and Forecast 2024 to 2034, by Key Segments and Countries
  • 14. Latin America Sales Analysis 2019 to 2023 and Forecast 2024 to 2034, by Key Segments and Countries
  • 15. Western Europe Sales Analysis 2019 to 2023 and Forecast 2024 to 2034, by Key Segments and Countries
  • 16. Eastern Europe Sales Analysis 2019 to 2023 and Forecast 2024 to 2034, by Key Segments and Countries
  • 17. East Asia Sales Analysis 2019 to 2023 and Forecast 2024 to 2034, by Key Segments and Countries
  • 18. South Asia Pacific Sales Analysis 2019 to 2023 and Forecast 2024 to 2034, by Key Segments and Countries
  • 19. Middle East and Africa Sales Analysis 2019 to 2023 and Forecast 2024 to 2034, by Key Segments and Countries
  • 20. Sales Forecast 2024 to 2034 by System Type, Automation Type, Deployment Type, Process Type, and End Use Industry for 30 Countries
  • 21. Competition Outlook, including Market Structure Analysis, Company Share Analysis by Key Players, and Competition Dashboard
  • 22. Company Profile
    • 22.1. ABB
    • 22.2. Schneider Electric
    • 22.3. Madox Technologies Pvt. Ltd
    • 22.4. Rockwell Automation
    • 22.5. Fuji Electric
    • 22.6. Siemens
    • 22.7. Bihl+Wiedemann GmbH
    • 22.8. Aaxis Nano Technologies Pvt. Ltd
    • 22.9. B&R
    • 22.10. Process Precision Instruments
    • 22.11. Alizent
    • 22.12. PI Control Solution
    • 22.13. Trimasys Control Solutions Pvt. Ltd
    • 22.14. Emerson
    • 22.15. Mipac
    • 22.16. Flintec
    • 22.17. IndustLabs
    • 22.18. ACS
    • 22.19. InflexionPoint
    • 22.20. RPA Engineering

Key Segmentation

By System Type:

The System Type segment is further categorized into Distributed Control Systems (DCS), Programmable Logic Controllers (PLC), Human-Machine Interfaces (HMIs), Supervisory Control and Data Acquisition (SCADA) and Advanced Process Control (APC).

By Automation Type:

The Automation Type segment is classified into Fixed, Programmable and Flexible.

By Deployment:

The Deployment segment is categorized into Cloud Based, On-premises and Hybrid.

By Process Type:

The Process Type segment is categorized into Batch Processing, Continuous Processing and Hybrid Processing.

By End Use Industry:

The End Use Industry segment is categorized into Oil & Gas, Chemical & Petrochemical, Metal & Mining, Energy & Power, Automotive & Transport, General Engineering, IT & Telecommunication, Paper & Pulp and Others.

By Region:

Regions considered in the study include North America, Latin America, Western Europe, Eastern Europe, East Asia, South Asia & Pacific, and the Middle East and Africa.

Frequently Asked Questions

What was the overall size of the automated process control system in multiple applications in 2023?

The automated process control system used in automobiles were valued at USD 63,360 million in 2023.

How big is the automated process control system market expected in 2024?

The demand for automated process control system is set to reach USD 67,486 million in 2024.

What will drive the demand for automated process control system during the forecast period?

The demand for automated process control systems will be driven by the growing adoption of Industry 4.0, increasing focus on operational efficiency, energy optimization, and regulatory compliance, alongside advancements in AI, IoT, and machine learning enabling predictive maintenance and smarter automation.

What is the projected demand for automated process control system during the forecast period?

The automotive cabin air quality sensor demand is projected to reach USD 130,490 million by 2034.

Which segment in system type is expected to lead in automated process control system market?

Distributed Control Systems (DCS) system type are expected to lead during the forecast period.

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