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Advanced Process Control Market - Forecasts from 2022 to 2027

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    Report

  • 135 Pages
  • August 2022
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 5649129
The advanced process control market was evaluated at US$1,699.590 million for the year 2020 and is projected to grow at a CAGR of 8.36%, reaching the market size of US$2,981.447 million by the year 2027. Advanced process control is a technology that helps businesses get more out of their assets by maximizing operational performance and process profitability. APC technologies have been used by process manufacturers for a long time now.

Increased focus of big players on advancements in technology in the big data analytics field, as well as increasing implementation of appropriate process control for a variety of applications such as exploration and production of oil, petrochemical products, water and wastewater, chemical products, power, pulp & paper, pharmaceuticals, food & beverages, and others, are the major factors driving the market growth. Furthermore, the growing market for energy-efficient industrial processes, together with expanding industrialization and increased awareness of the necessity of regulatory compliance, will further aggravate the market value. The market will continue to rise as the extent of automation in every industry expands, as well as the number of production units, particularly in developing economies.

However, the market's expansion would be limited by high initial investment and high R&D expenditures. The market's development pace will be slowed further by start-up enterprises' unwillingness to switch from conventional methods to enhanced process controls due to a lack of funding.

The multivariate model predictive control is expected to dominate the market in terms of type. A multivariable model predictive control system can address the needs of energy plants and refineries that demand specialized control. Multivariable model predictive control techniques are used in many industries, including chemicals, oil and gas, food processing, and petrochemicals.

Due to the increased deployment of APC solutions in the industry, the oil and gas category, by application, is likely to take the biggest market share and have considerable growth throughout the forecast period. This is because processing activities in the oil and gas sector are complicated and require real-time regulation. Previously, complicated data related to multiple procedures had to be computed manually, which was usually associated with a large margin of error. To minimize these manual errors, the oil and gas sector has started to incorporate advanced process controls. It is likely to remain a prominent end-user of APC systems in the foreseeable future.

North America is likely to lead the market. The addition of new power plants, the existence of major semiconductor manufacturing companies, and the need for industrial automation are all predicted to enhance APC systems in North America. The United States is undergoing an energy transformation. Oil and gas production has increased as a result of technological advances in hydraulics and drilling fracturing of shale formations. In addition, the country possesses the world's greatest operational nuclear power capacity and produces the most nuclear power. According to the US Energy Information Administration, the US has 93 commercial nuclear reactors operating at 55 nuclear power stations in 28 states as of 2021. Advanced process control systems are seeing a considerable increase in demand in the region as they boost nuclear power plant reliability, accelerating market growth.

Recent Development

Schneider Electric, a global leader in energy management, automation, and sustainability, announced in January 2022 that it had acquired start-up climate-tech platform Zeigo to expand its digital services in energy, sustainable development, and environmental commodity consulting.

Yokogawa and Shell announced the development of Platform for Advanced Control & Estimation R5.03 in June 2021, and it was released as part of Yokogawa's OpreX asset management and optimization family.

ABB's tested ABB Ability Advanced Process Control solution was launched to the metals industry in June 2020, offering accurate modelling of process behaviours for higher process stability, improved quality, output, and cost savings. To offer a high level of control, the solution leverages simple design and implementation of model predictive control (MPC) and analytics.

In January 2019, ControlSoft, Inc., a leading supplier of software products & advanced control technologies for real-time process control in industrial industries, acquired eSimulation Inc., a pioneer in cloud-based software solutions for midstream natural gas gathering and processing.

COVID-19 Impact

The Covid-19 epidemic had a limited impact on the market for advanced process control. Reduced investments posed a risk of slowing the adoption of critical clean energy technology. Net oil-exporting countries have suffered a setback. However, the market is expected to rebound and increase at a considerable rate in the projection term due to the strong growth of the pharmaceutical sector following the pandemic. For instance, according to India Ratings and Research, the Indian pharmaceutical market grew 17.7% year over year in August 2021, from 13.7% in July.

Segmentation

By Type

  • Advanced Regulatory Control
  • Multivariable Model Predictive Control
  • Inferential Control
  • Sequential Control
  • Compressor Control.

By Application

  • Power
  • Oil and Gas
  • Chemicals
  • Food and Beverage

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Middle East and Africa
  • Saudi Arabia
  • Israel
  • UAE
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Taiwan

Table of Contents

1. Introduction
1.1. Market Overview
1.2. Covid-19 Scenario
1.3. Market Definition
1.4. Market Segmentation
2. Research Methodology
2.1. Research Data
2.2. Assumptions
3. Executive Summary
3.1. Research Highlights
4. Market Dynamics
4.1. Market Drivers
4.2. Market Restraints
4.3. Market Opportunities
4.4. Porter’s Five Forces Analysis
4.4.1. Bargaining Power of Suppliers
4.4.2. Bargaining Power of Buyers
4.4.3. Threat of New Entrants
4.4.4. Threat of Substitutes
4.4.5. Competitive Rivalry in the Industry
4.5. Industry Value Chain Analysis
5. Advanced process control Market Analysis, by Type
5.1. Introduction
5.2. Advanced Regulatory Control
5.3. Multivariable Model Predictive Control
5.4. Inferential Control
5.5. Sequential Control
5.6. Compressor Control
6. Advanced process control Market Analysis, by Application
6.1. Introduction
6.2. Power
6.3. Oil and Gas
6.4. Chemicals
6.5. Food and Beverage
6.6. Others
7. Advanced process control Market Analysis, by Geography
7.1. Introduction
7.2. North America
7.2.1. USA
7.2.2. Canada
7.2.3. Mexico
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Others
7.4. Europe
7.4.1. United Kingdom
7.4.2. Germany
7.4.3. France
7.4.4. Spain
7.4.5. Others
7.5. Middle East and Africa
7.5.1. Saudi Arabia
7.5.2. Israel
7.5.3. UAE
7.5.4. Others
7.6. Asia Pacific
7.6.1. China
7.6.2. Japan
7.6.3. India
7.6.4. South Korea
7.6.5. Indonesia
7.6.6. Thailand
7.6.7. Taiwan
7.6.8. Others
8. Competitive Environment and Analysis
8.1. Major Players and Strategy Analysis
8.2. Emerging Players and Market Lucrativeness
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Vendor Competitiveness Matrix
9. Company Profiles
9.1. Schneider Electric SE
9.2. Siemens AG
9.3. Onto Innovation Inc.
9.4. Aspen Technology, Inc.
9.5. Emerson Electric Co.
9.6. ABB Ltd.
9.7. Yokogawa Electric Corporation
9.8. Panasonic Corporation
9.9. Rockwell Automation, Inc.
9.10. Honeywell International Inc.
9.11. Control Soft

Companies Mentioned

  • Schneider Electric SE
  • Siemens AG
  • Onto Innovation Inc.
  • Aspen Technology, Inc.
  • Emerson Electric Co.
  • ABB Ltd.
  • Yokogawa Electric Corporation
  • Panasonic Corporation
  • Rockwell Automation, Inc.
  • Honeywell International Inc.
  • Control S

Methodology

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Table Information