APC(고급 공정 제어) : 시장 점유율 분석, 산업 동향, 통계, 성장 예측(2025-2030년)

The advanced process control market generated USD 3.1 billion in 2025 and is projected to reach USD 5.1 billion by 2030, advancing at a 10.6% CAGR.

Adoption accelerates as energy-intensive manufacturers seek to counter volatile utility prices, satisfy tightening emission mandates, and manage increasingly complex multi-variable processes that outstrip the capabilities of conventional PID loops. Cloud connectivity and embedded artificial intelligence now allow predictive control models to operate across distributed facilities, cutting deployment time and improving return on investment. Vendors are packaging applications around energy-cost optimization, real-time quality assurance, and embedded regulatory reporting, which shortens payback periods in industries where 1-2% yield improvements translate into multi-million-dollar annual savings. A steady flow of merger and acquisition activity underscores a strategic race to integrate software, analytics, and cybersecurity into unified platforms that can scale from the plant floor to enterprise cloud environments.

Global Advanced Process Control Market Trends and Insights

Real-time energy-cost optimization needs

Volatile fuel and electricity prices have elevated process control from an efficiency lever to a bottom-line necessity. Energy can represent more than 50% of non-crude refinery operating costs, so plants deploy predictive algorithms that shift load to cheaper tariff windows while maintaining specification limits. Published case studies report 10-20% reductions in energy use, which compounds as optimized operations extend maintenance intervals and lower unplanned downtime.

Integration of APC with IIoT & AI analytics

Low-latency industrial networks now connect sensors, controllers, and cloud engines, allowing machine-learning models to predict disturbances and prescribe corrective action before deviations propagate. The FDA's January 2025 guidance endorses AI-enabled real-time monitoring, removing a key adoption barrier for regulated manufacturers .

High upfront cost & integration complexity

Full-scale installations can demand USD 500,000-5 million, a hurdle for smaller plants. Brownfield sites often require instrument upgrades and DCS replacement, stretching schedules to 18 months and exposing operators to production-interruption risk.

Other drivers and restraints analyzed in the detailed report include:

1. Emission-driven regulatory stringency
2. Mega specialty-chemical & LNG project complexity
3. Scarcity of APC talent & model upkeep

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software captured 54% of the advanced process control market share in 2024, underscoring a decisive migration from hardware-centric systems to cloud-ready platforms. This segment is propelled by demand for rapid rollout, seamless DCS integration, and remote analytics that reduce capital intensity. Cloud-hosted solutions are forecast to grow at 12.9% CAGR through 2030 as subscription models lower entry barriers and provide continuous algorithm upgrades. Hardware remains indispensable for edge execution but is increasingly commoditized, while service contracts covering model maintenance and performance tuning expand as plants embrace continuous-improvement cultures. The shift enables vendors to release new optimization templates in weeks rather than months, accelerating digital-transformation roadmaps.

The advanced process control market size attributed to software is projected to expand from USD 1.7 billion in 2025 to USD 3.0 billion in 2030, reflecting pervasive adoption of microservices architectures and containerized deployment strategies. Edge gateways now route filtered data to cloud AI engines that feed real-time recommendations to on-premises controllers, balancing cybersecurity, latency, and regulatory constraints.

Model Predictive Control held 46% revenue in 2024, affirming its reputation as the primary tool for coordinating constrained, multi-variable processes. Linear MPC dominates large-scale continuous operations such as crude distillation and ethylene cracking, where thermodynamic relationships remain relatively stable. Non-linear MPC is gaining momentum, posting a 12.8% CAGR outlook, as specialty-chemical and pharmaceutical plants face non-steady-state reactions and strict quality windows.

The advanced process control market size for non-linear MPC is set to reach USD 1.1 billion by 2030, reflecting rising demand for algorithms capable of handling complex kinetics and variable feed compositions. Vendors differentiate by embedding adaptive modeling and self-tuning capabilities that respond to drift without manual intervention, allowing operators to maintain optimal performance with less engineering effort.

The Advanced Process Control Market is Segmented by Product Type (Advanced Regulatory Control, Model Predictive Control and More), by Component (Hardware and More), by Deployment Mode (On-Premise and More), by Process Type (Continuous Processes and More), by End-User Industry (Oil and Gas, Chemicals and Petrochemicals, and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

North America commanded 37% of 2024 revenue, underpinned by early digitalization, abundant refinery capacity, and robust talent ecosystems. Federal energy-efficiency incentives and transparent carbon markets further encourage control upgrades. Asia-Pacific is the fastest-growing, with an 11.8% CAGR outlook, fuelled by China's 300 billion-yuan industrial-automation program (USD 41.7 billion) that prioritizes domestic technology self-reliance. India, Japan, and the ASEAN economies are following suit, targeting automation to manage labor constraints and productivity gaps.

Europe remains an innovation hotspot where stringent climate policy and the EU taxonomy link financing costs to measurable decarbonization. Plants exploit APC to cut Scope 1 emissions while safeguarding competitiveness. Meanwhile, the Middle East, Africa, and Latin America are rolling out cloud-native APC to leapfrog infrastructure limitations, with mining and LNG projects often serving as anchor use cases.

1. ABB Ltd.
2. Aspen Technology Inc.
3. Emerson Electric Co.
4. General Electric Co.
5. Honeywell International Inc.
6. Rockwell Automation Inc.
7. Schneider Electric SE
8. Siemens AG
9. Yokogawa Electric Corp.
10. SUPCON Technology Co. Ltd
11. Hollysys Automation Technologies Ltd
12. Endress+Hauser Group
13. Valmet Oyj
14. KBC Advanced Technologies
15. Metso Outotec
16. FLSmidth & Co. A/S
17. AVEVA Group plc
18. Azbil Corporation
19. Endress+Hauser Group
20. Valmet Oyj
21. AVEVA Group plc
22. Gensym Corporation
23. ICONICS Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions & Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Real-time energy-cost optimisation needs
  • 4.2.2 Integration of APC with IIoT & AI analytics
  • 4.2.3 Emission-driven regulatory stringency
  • 4.2.4 Mega specialty-chemical & LNG project complexity
  • 4.2.5 Plug-and-play cloud APC for modular skids
  • 4.2.6 Autonomous mining & metals operations push
• 4.3 Market Restraints
  • 4.3.1 High upfront cost & integration complexity
  • 4.3.2 Scarcity of APC talent & model upkeep
  • 4.3.3 Cyber-security risks in remote/cloud APC
  • 4.3.4 Weak ROI for small, high-mix batch plants
• 4.4 Value / Supply-Chain Analysis
• 4.5 Technological Outlook
• 4.6 Regulatory Landscape
• 4.7 Analysis of New APC Systems vs Modernization
• 4.8 Porters Five Forces
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitute Products
  • 4.8.5 Degree of Competition

5 MARKET SIZE & GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Hardware
  • 5.1.2 Software
  • 5.1.3 Services
• 5.2 By Product Type
  • 5.2.1 Advanced Regulatory Control (ARC)
  • 5.2.2 Model Predictive Control (MPC)
  • 5.2.3 Non-linear MPC
  • 5.2.4 Multivariable Predictive Control
  • 5.2.5 Inferential & Other Controls
• 5.3 By Deployment Mode
  • 5.3.1 On-Premises
  • 5.3.2 Cloud-based
  • 5.3.3 Hybrid
• 5.4 By Process Type
  • 5.4.1 Continuous Processes
  • 5.4.2 Batch Processes
• 5.5 By End-user Industry
  • 5.5.1 Oil & Gas
  • 5.5.2 Chemicals & Petrochemicals
  • 5.5.3 Pharmaceutical
  • 5.5.4 Food & Beverage
  • 5.5.5 Energy & Power
  • 5.5.6 Cement
  • 5.5.7 Metal Processing
  • 5.5.8 Pulp & Paper
  • 5.5.9 Others
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Russia
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia & New Zealand
    • 5.6.4.6 Rest of Asia
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
    • 5.6.5.1.1 Saudi Arabia
    • 5.6.5.1.2 United Arab Emirates
    • 5.6.5.1.3 Turkey
    • 5.6.5.1.4 Rest of Middle East
    • 5.6.5.2 Africa
    • 5.6.5.2.1 South Africa
    • 5.6.5.2.2 Nigeria
    • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products & Services, and Recent Developments)
  • 6.4.1 ABB Ltd.
  • 6.4.2 Aspen Technology Inc.
  • 6.4.3 Emerson Electric Co.
  • 6.4.4 General Electric Co.
  • 6.4.5 Honeywell International Inc.
  • 6.4.6 Rockwell Automation Inc.
  • 6.4.7 Schneider Electric SE
  • 6.4.8 Siemens AG
  • 6.4.9 Yokogawa Electric Corp.
  • 6.4.10 SUPCON Technology Co. Ltd
  • 6.4.11 Hollysys Automation Technologies Ltd
  • 6.4.12 Endress+Hauser Group
  • 6.4.13 Valmet Oyj
  • 6.4.14 KBC Advanced Technologies
  • 6.4.15 Metso Outotec
  • 6.4.16 FLSmidth & Co. A/S
  • 6.4.17 AVEVA Group plc
  • 6.4.18 Azbil Corporation
  • 6.4.19 Endress+Hauser Group
  • 6.4.20 Valmet Oyj
  • 6.4.21 AVEVA Group plc
  • 6.4.22 Gensym Corporation
  • 6.4.23 ICONICS Inc.

7 MARKET OPPORTUNITIES & FUTURE OUTLOOK

• 7.1 White-space & Unmet-Need Assessment