Predictive Emission Monitoring System (PEMS) Market
By Component;
Software and ServiceBy Deployment;
On-Premise and OnlineBy Industry;
Power Plants & Combustion, Oil & Gas, Chemicals, Petrochemicals, Refineries, Fertilizers, Building Materials, Pharmaceutical and Metal & MiningBy Geography;
North America, Europe, Asia Pacific, Middle East & Africa and Latin America - Report Timeline (2021 - 2031)Predictive Emission Monitoring System (PEMS) Market Overview
Predictive Emission Monitoring System (PEMS) Market (USD Million)
Predictive Emission Monitoring System (PEMS) Market was valued at USD 6,147.71 million in the year 2024. The size of this market is expected to increase to USD 10,133.12 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 7.4%.
Predictive Emission Monitoring System (PEMS) Market
*Market size in USD million
CAGR 7.4 %
| Study Period | 2025 - 2031 |
|---|---|
| Base Year | 2024 |
| CAGR (%) | 7.4 % |
| Market Size (2024) | USD 6,147.71 Million |
| Market Size (2031) | USD 10,133.12 Million |
| Market Concentration | Medium |
| Report Pages | 321 |
Major Players
- ABB Ltd.
- General Electric Company
- Siemens AG
- Rockwell Automation
- Thermo Fisher Scientific
- CMC Solutions
- Fuji Electric Co., Ltd.
- Teledyne Technologies, Inc.
- Parker Hannifin Corporation
- Ametek, Inc.
Market Concentration
Consolidated - Market dominated by 1 - 5 major players
Predictive Emission Monitoring System (PEMS) Market
Fragmented - Highly competitive market without dominant players
The Predictive Emission Monitoring System (PEMS) Market is expanding steadily as industries adopt advanced tools for emission tracking and regulatory compliance. Unlike traditional Continuous Emission Monitoring Systems, PEMS utilizes data-driven models to predict emissions with accuracy and efficiency. Rising environmental concerns have resulted in a growth rate of over 35% adoption in industrial facilities, reflecting the system’s importance in supporting sustainability and compliance objectives.
Technological Innovation
Technological innovation plays a pivotal role in this market’s growth. With the integration of artificial intelligence, machine learning, and advanced analytics, PEMS offers more precise insights into emission levels. Nearly 40% of industries using enhanced predictive solutions have achieved better monitoring outcomes and significant cost reduction. These improvements allow industries to forecast potential emission deviations and maintain operational consistency.
Environmental Compliance
One of the key forces shaping this market is stringent environmental regulations. Governments and regulatory authorities are demanding improved reporting and stricter compliance measures, leading to the widespread adoption of PEMS. Data shows that close to 50% of organizations rely on these systems as an efficient, reliable, and cost-effective compliance tool, reducing the complexity of audits and reporting processes.
Efficiency and Industrial Adoption
In addition to compliance, cost efficiency remains a compelling factor for industries. By avoiding large-scale hardware installations, companies can lower their monitoring expenses by about 30% compared to conventional systems. PEMS also supports predictive maintenance and remote supervision, ensuring fewer disruptions and optimized process performance. Research indicates that nearly 45% of high-emission industries are exploring or integrating PEMS solutions to advance their sustainability agendas, highlighting its growing role across petrochemicals, refining, power generation, and manufacturing.
Predictive Emission Monitoring System (PEMS) Market Key Takeaways
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Stringent environmental regulations and compliance mandates are accelerating adoption—industrial facilities are increasingly required to monitor and report emissions continuously, driving the uptake of PEMS solutions that pre-empt violations.
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Cost-effectiveness over traditional continuous systems is a major benefit—PEMS offers predictive modelling and fewer physical analysers, enabling companies to reduce capital and operational expenditure in monitoring setups.
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Advanced analytics, IoT and AI integration are shaping the evolution of PEMS—the shift toward cloud-based platforms, machine-learning models and smarter sensors is enhancing accuracy, real-time insights and value-added service opportunities.
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Heavy-industry applications remain the core market, with power generation and oil & gas leading—these sectors face the highest regulatory scrutiny and therefore present the largest implementation volumes and revenue streams.
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Emerging markets present strong growth prospects—regions such as Asia-Pacific and Latin America are exhibiting rising industrialisation, infrastructure expansion and regulatory alignment, offering fertile opportunities for PEMS deployment.
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Integration challenges and high upfront costs are key adoption barriers—legacy systems, data quality issues and need for skilled personnel hinder rollout, especially in small- and mid-sized plants or developing regions.
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Market value is shifting from hardware sales to software, services and ecosystem solutions—vendors offering modelling, analytics, compliance dashboards, and subscription-based services are gaining stronger positioning and recurring-revenue potential.
Predictive Emission Monitoring System (PEMS) Market Recent Developments
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In September 2025, researchers presented data-driven deep learning models for forecasting and monitoring amine emissions and key performance parameters in amine-based post-combustion carbon capture systems. Using operational data from the CESAR1 solvent campaign at Technology Center Mongstad, four deep learning architectures—Basic Long Short-Term Memory (LSTM), Stacked LSTM, Bi-directional LSTM, and Convolutional LSTM—were developed to capture time-dependent process behavior. These models achieved high predictive accuracy exceeding 99% and effectively tracked both steady trends and abrupt fluctuations.
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In April 2025, a novel TinyML-based system was introduced to predict ozone concentration in real-time. The system employs an Arduino Nano 33 BLE Sense microcontroller equipped with an MQ7 sensor for carbon monoxide (CO) detection and built-in sensors for temperature and pressure measurements. The data, sourced from a Kaggle dataset on air quality parameters from India, underwent thorough cleaning and preprocessing. The system's low-cost and low-power design makes it suitable for widespread implementation, particularly in resource-constrained settings.
Segment Analysis
The market for industrial process control systems is categorized based on its components, which include software and solutions. Software plays a crucial role in managing and optimizing processes, ensuring operational efficiency and safety across industries. Solutions, which often comprise comprehensive packages of hardware and software designed for specific applications, help businesses automate tasks and streamline operations, contributing to cost reductions and improved productivity.
Regarding deployment, these systems are available in both on-premise and online formats. On-premise deployments are ideal for industries where data security, local control, and customizability are paramount, such as in power plants and oil refineries. In contrast, online solutions, often offered as cloud-based services, are gaining popularity due to their scalability, remote accessibility, and the ability to reduce upfront infrastructure costs. The choice between on-premise and online deployments is influenced by factors like cost, regulatory compliance, and the specific needs of the industry.
The industries served by these systems are diverse, ranging from power plants and oil & gas to pharmaceuticals and waste incineration. In sectors like oil and gas, chemicals, and petrochemicals, process control systems are crucial for monitoring and controlling complex operations in environments that demand high precision and safety. Similarly, industries such as pharmaceuticals and pulp & paper require robust systems to maintain product quality and meet stringent regulatory standards. With the growing complexity of industrial processes, these systems continue to expand across various sectors, driving efficiency and sustainability.
Global Predictive Emission Monitoring System (PEMS) Segment Analysis
In this report, the Global Predictive Emission Monitoring System (PEMS) Market has been segmented by Component, Deployment, Industry and Geography.
Global Predictive Emission Monitoring System (PEMS) Market, Segmentation by Component
The Global Predictive Emission Monitoring System (PEMS) Market has been segmented by Component into Software and Solutions.
Software components form the backbone of PEMS, encompassing advanced algorithms, data analytics tools, and predictive models that process raw emissions data collected from industrial processes. These software components are essential for generating real-time insights, predicting emission levels, and facilitating proactive decision-making to ensure compliance with stringent environmental regulations. They also enable continuous improvement by analyzing historical data trends and identifying opportunities for optimizing emission reduction strategies.
Complementing the software components, PEMS solutions encompass the hardware infrastructure, sensors, and integration services necessary to implement effective emission monitoring systems. These solutions are tailored to meet specific industry requirements, offering robust capabilities for data acquisition, transmission, and storage. PEMS solutions may include integration with existing process control systems, calibration services, and ongoing technical support to maintain system reliability and accuracy. As industries across power generation, oil and gas, chemicals, manufacturing, and others strive to enhance environmental sustainability and operational efficiency, the demand for comprehensive PEMS solutions continues to grow. This segment's expansion is driven by advancements in software capabilities, such as artificial intelligence and machine learning, which further enhance predictive modeling accuracy and empower organizations to achieve optimal environmental performance while minimizing operational costs.
Global Predictive Emission Monitoring System (PEMS) Market, Segmentation by Deployment
The Global Predictive Emission Monitoring System (PEMS) Market has been segmented by Deployment into On-Premise and On-Line.
On-premise PEMS installations involve setting up hardware and software directly within the facilities of end-users. This deployment method is favored by industries that prioritize data security, have specific infrastructure requirements, or operate in remote locations where internet connectivity may be unreliable. On-premise solutions provide organizations with direct control over their monitoring systems, enabling real-time data collection, analysis, and immediate response to emission events.
On the other hand, online PEMS, also known as cloud-based solutions, offer scalability, flexibility, and accessibility advantages. These systems leverage cloud computing technology to collect and process emission data remotely, making it accessible from any location with internet connectivity. Online PEMS are particularly beneficial for organizations seeking cost-effective solutions that reduce upfront hardware costs and simplify maintenance requirements. They also support real-time monitoring and analysis, enabling proactive decision-making and compliance management across multiple sites or geographies. As industries increasingly adopt digital transformation strategies, the demand for online PEMS is expected to grow, driven by the need for scalable, agile, and data-driven solutions to enhance operational efficiency and environmental performance.
Global Predictive Emission Monitoring System (PEMS) Market, Segmentation by Industry
The Global Predictive Emission Monitoring System (PEMS) Market has been segmented by Industry into Power Plants & Combustion, Oil & Gas, Chemicals, Petrochemicals, Refineries, & Fertilizers, Building Materials, Pulp & Paper, Pharmaceuticals, Metal, Mining, Marine & Shipping and Waste Incineration.
Power plants and combustion facilities are prominent users of PEMS, leveraging these systems to monitor emissions from fossil fuel combustion and ensure adherence to strict environmental regulations. Similarly, the oil and gas sector relies on PEMS to monitor emissions from extraction, refining, and distribution processes, aiming to mitigate environmental impact and comply with regulatory standards.
In addition, industries such as chemicals, petrochemicals, refineries, and fertilizers utilize PEMS to monitor emissions from manufacturing processes, which involve the handling of various chemicals and volatile compounds. Building materials, pulp and paper, pharmaceuticals, metals, mining, marine and shipping, and waste incineration sectors also benefit from PEMS by effectively managing and reducing their environmental footprint. These industries face increasing regulatory scrutiny and societal pressure to minimize emissions and enhance environmental sustainability. As a result, the adoption of PEMS across these diverse sectors is expected to grow, driven by the need for accurate monitoring, compliance with stringent regulations, and sustainable operational practices.
Global Predictive Emission Monitoring System (PEMS) Market, Segmentation by Geography
In this report, the Global Predictive Emission Monitoring System (PEMS) Market has been segmented by Geography into five regions; North America, Europe, Asia Pacific, Middle East and Africa and Latin America.
Global Predictive Emission Monitoring System (PEMS) Market Share (%), by Geographical Region, 2024
North America led the Predictive Emission Monitoring System (PEMS) market, boasting the highest number of EMS deployments. This leadership is attributed to the region's stringent environmental regulations and the widespread adoption of advanced monitoring technologies. However, as the market matures, the rate of new installations is expected to decline slightly over the forecast period. Instead, Continuous Emission Monitoring Systems (CEMS) are likely to be used for replacements or upgrades, particularly in North America and Europe, where the markets have reached a saturation point. These mature markets will continue to focus on maintaining compliance and upgrading existing systems to meet evolving standards rather than expanding with entirely new installations.
In contrast, the Asia Pacific region, particularly India and China, is poised for significant growth in the PEMS market during the projection period. This development is driven by the establishment of stringent monitoring and air quality standards. In an effort to streamline pollution-related legislation, the Chinese government restructured its Ministry of Environmental Protection (MEP) into the Ministry of Ecology and Environment (MEE) in March 2018. Following this reorganization, the MEE announced in June 2019 the imposition of special restrictions on industrial units in 80 cities, expanding from the current 28 cities under such regulations. This shift underscores the region's commitment to improving air quality and environmental protection, thereby driving the demand for advanced emission monitoring systems like PEMS. As a result, the Asia Pacific market is expected to grow robustly, supported by increasing regulatory pressure and the need for more sophisticated emission control solutions.
Market Trends
This report provides an in depth analysis of various factors that impact the dynamics of Global Predictive Emission Monitoring System (PEMS) Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Drivers, Restraints and Opportunities Analysis
Drivers:
- Stringent Environmental Regulations
- Technological Advancements
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Cost-Effectiveness - Compared to Continuous Emission Monitoring Systems (CEMS), Predictive Emission Monitoring Systems (PEMS) offer a more cost-effective solution due to their lower installation and maintenance requirements. CEMS typically involve the installation of numerous physical sensors and analyzers directly on the emission sources, which can be both expensive and logistically challenging. These systems also require regular calibration, cleaning, and maintenance to ensure accuracy, adding to the operational costs. In contrast, PEMS utilize existing process data and advanced mathematical models to predict emissions, eliminating the need for extensive physical infrastructure. This reduction in hardware not only cuts down the initial installation costs but also significantly lowers the ongoing maintenance expenses.
Furthermore, PEMS provide greater flexibility and scalability compared to CEMS. Since PEMS are software-based, they can be easily integrated into existing systems without the need for extensive modifications to the physical setup. This makes them particularly advantageous for industries with complex or dispersed operations. For instance, in industries where emissions need to be monitored across multiple locations or varying process conditions, PEMS can be rapidly deployed and adapted to different scenarios. The ability to remotely update and manage the software also ensures that the system remains up-to-date with the latest regulatory requirements and technological advancements, without the need for frequent on-site interventions. These factors contribute to the growing preference for PEMS among industries looking to achieve compliance in a cost-effective and efficient manner.
Restraints:
- High Initial Investment
- Data Accuracy Concerns
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Technical Expertise Requirement - Effective implementation and operation of Predictive Emission Monitoring Systems (PEMS) necessitate skilled personnel with technical expertise in data analytics, emission monitoring, and process engineering. These systems rely heavily on accurate data collection, sophisticated mathematical models, and real-time analysis to predict emissions accurately. Professionals in this field need to have a deep understanding of the industrial processes they are monitoring, as well as proficiency in handling large datasets and employing advanced analytical tools. This expertise is crucial for calibrating the models correctly, interpreting the results accurately, and making informed decisions based on the predictive data. The complexity involved in setting up and maintaining these systems can be a significant barrier for some organizations, especially those with limited technical resources or smaller operational scales.
Additionally, ongoing training and development are essential to keep up with technological advancements in PEMS and related fields. As the technology evolves, new software updates, advanced analytical techniques, and improved predictive models are continuously being introduced. Organizations must invest in regular training programs to ensure their personnel remain proficient in the latest developments and methodologies. This requirement for continuous learning can be a challenge, particularly for smaller companies or those in regions with limited access to specialized training programs. Furthermore, attracting and retaining skilled professionals in this niche field can be difficult, exacerbating the challenge for organizations to effectively implement and maintain PEMS. Addressing these barriers requires a strategic approach, including partnerships with educational institutions, investment in training infrastructure, and potentially outsourcing some aspects of PEMS management to specialized service providers.
Opportunities:
- Emerging Markets
- Integration with IoT and AI
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Expansion in Non-Industrial Sectors - Beyond traditional industrial applications, there is significant potential for Predictive Emission Monitoring Systems (PEMS) to be adopted in various other sectors, such as commercial buildings, transportation, and municipal services. In commercial buildings, PEMS can play a crucial role in managing and reducing emissions from heating, ventilation, and air conditioning (HVAC) systems, as well as other energy-consuming equipment. By predicting and optimizing the emissions from these sources, building managers can improve energy efficiency, reduce operational costs, and ensure compliance with environmental regulations. This application is particularly relevant in urban areas where commercial buildings are major contributors to air pollution and where regulatory bodies are increasingly focusing on reducing urban emissions.
In the transportation sector, PEMS can be utilized to monitor and predict emissions from vehicles, fleets, and public transportation systems. This can help in managing and reducing the environmental impact of transportation activities, which are a major source of greenhouse gases and air pollutants. By integrating PEMS with vehicle management systems, transportation companies can optimize routes, maintenance schedules, and fuel consumption, thereby minimizing emissions. Similarly, in municipal services, PEMS can be applied to monitor emissions from waste management facilities, water treatment plants, and public utilities. These applications can help municipalities meet regulatory requirements, improve environmental quality, and support sustainability initiatives. The broadening scope of PEMS applications across these diverse sectors highlights their versatility and underscores their importance in the global efforts to reduce emissions and mitigate climate change.
Predictive Emission Monitoring System (PEMS) Market Competitive Landscape Analysis
Predictive Emission Monitoring System (PEMS) Market is witnessing significant growth driven by increasing environmental regulations and strategic collaboration among technology and service providers. Mergers and partnerships account for over 45% of market activity, while continuous technological advancements in real-time monitoring and predictive analytics are shaping a competitive and evolving landscape.
Market Structure and Concentration
The market exhibits moderate concentration, with leading companies controlling nearly 60% of total revenue. Strategic mergers and collaborations reinforce positions, while smaller players leverage innovation in sensor technology and software solutions to gain visibility, creating a dynamic structure that supports sustainable growth and competitive differentiation.
Brand and Channel Strategies
Companies are implementing diverse strategies to strengthen brand recognition, with partnerships representing more than 35% of distribution and service channels. Collaborative initiatives, industrial integration, and technology alliances drive expansion, enabling companies to capture higher market share and influence regulatory compliance adoption.
Innovation Drivers and Technological Advancements
Innovation and technological advancements are key growth drivers, improving measurement accuracy, predictive capabilities, and system efficiency by over 50%. Companies invest in research collaborations, advanced analytics, and IoT-enabled systems, strengthening strategies for competitive positioning and long-term market growth.
Regional Momentum and Expansion
Regional expansion is propelled by localized strategies and partnerships, with some regions achieving more than 40% penetration. Companies focus on operational innovation, technological upgrades, and collaborative initiatives to strengthen regional presence, fostering sustainable growth and shaping the overall future outlook.
Future Outlook
The future outlook is positive, with projected growth fueled by mergers, innovation, and technological advancements. Collaborative strategies are expected to enhance competitive positioning by over 55%, ensuring long-term expansion and sustainable development in the predictive emission monitoring system market.
Key players in Predictive Emission Monitoring System (PEMS) Market include.
- ABB Ltd.
- Siemens AG
- General Electric Company (GE)
- Rockwell Automation Inc.
- Thermo Fisher Scientific
- Fuji Electric Co., Ltd.
- Ametek, Inc.
- Teledyne Technologies Inc.
- Parker Hannifin Corporation
- CMC Solutions
- Sick AG
- Environnement S.A.
- Enviro Technology Services
- Durag Group
- Chemtrols, Inc.
In this report, the profile of each market player provides following information:
- Company Overview and Product Portfolio
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive Summary
- Market Snapshot, By Component
- Market Snapshot, By Deployment
- Market Snapshot, By Industry
- Market Snapshot, By Region
- Predictive Emission Monitoring System (PEMS) Market Dynamics
- Drivers, Restraints and Opportunities
- Drivers
- Stringent Environmental Regulations
- Technological Advancements
- Cost-Effectiveness
- Restraints
- High Initial Investment
- Data Accuracy Concerns
- Technical Expertise Requirement
- Opportunties
- Emerging Markets
- Integration with IoT and AI
- Expansion in Non-Industrial Sectors
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Predictive Emission Monitoring System (PEMS) Market, By Component, 2021 - 2031 (USD Million)
- Software
- Service
- Predictive Emission Monitoring System (PEMS) Market, By Deployment, 2021 - 2031 (USD Million)
- On-Premise
- Online
- Predictive Emission Monitoring System (PEMS) Market, By Industry, 2021 - 2031 (USD Million)
- Power Plants & Combustion
- Oil & Gas
- Chemicals
- Petrochemicals
- Refineries
- Fertilizers
- Building Materials
- Pharmaceutical
- Metal & Mining
- Predictive Emission Monitoring System (PEMS) Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Predictive Emission Monitoring System (PEMS) Market, By Component, 2021 - 2031 (USD Million)
- Competitive Landscape
- Company Profiles
- ABB Ltd.
- Siemens AG
- General Electric Company (GE)
- Rockwell Automation Inc.
- Thermo Fisher Scientific
- Fuji Electric Co., Ltd.
- Ametek, Inc.
- Teledyne Technologies Inc.
- Parker Hannifin Corporation
- CMC Solutions
- Sick AG
- Environnement S.A.
- Enviro Technology Services
- Durag Group
- Chemtrols, Inc.
- Company Profiles
- Analyst Views
- Future Outlook of the Market

