The motor monitoring market is expected to be worth US$ 5.5 billion by 2033, up from US$ 2.5 billion in 2023, and is estimated to register an 8.3% CAGR between 2023 and 2033.
Report Attribute | Details |
---|---|
Motor Monitoring Market Value (2023) | US$ 2.5 billion |
Motor Monitoring Market Anticipated Value (2033) | US$ 5.5 billion |
Motor Monitoring Market Growth Rate (2023 to 2033) | 8.3% CAGR |
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The vibration occurs in all rotational equipment. Vibration screening can detect various defects in motors. The use of wireless IoT sensors and cloud-based software for condition monitoring enables industrial workers to stay ahead of equipment problems and reduce downtime by obtaining current, vibration, and temperature data from anywhere in a facility at any time. This is consistent with the market's continued growth.
The significance of electric motor monitoring is linked to the consequences of even a single motor failure. It has been estimated that the cost of missing production in the pasta production sector is equal to one hour of downtime. One of the low-cost solutions is to continue deploying predictive maintenance and educating internal maintenance employees to make them independent as soon as possible.
Rule-based predictive maintenance uses sensors to continuously gather data about assets and provides alerts depending on predetermined criteria, such as when a certain threshold is achieved. Product teams collaborate with engineering and customer service departments to determine the causes or contributing factors to their products failing using rule-based analytics. As a result, industrial IoT technologies are driving the market.
Electrical motors and drives account for around 45% of total power generation. However, if electrical machines are not properly maintained, they consume 5% to 10% more power, reducing productivity and revenue. Wireless motor monitoring can capture machine parameters more accurately, with automatic identification of abnormal situations and reporting to the server in a matter of microseconds. Wireless technology has the advantage of being exceedingly reliable, operating even at very modest network speeds, and handling several devices at once. Because it does not entail a complex mechanism and employs a lightweight MQTT protocol, the developed system is simple to install and scale up to big industrial setups.
The motor monitoring market was worth US$ 2.2 billion in 2022, with a CAGR of 12.6% over the forecast period. Global market absolute dollar growth is US$ 3.0 billion.
Manufacturers benefit from key features such as real-time visibility into the equipment that has implemented the cloud solution and the opportunity to analyze the status of their motor. The manufacturing plant's additional software solutions can also be monitored by its central system.
Several service providers conducted using this important portable monitoring equipment. Smart sensors are a commonly available instrument that provides a remote look into client assets, hence eliminating the need to visit a site. Remote monitoring and diagnostics will be crucial in driving the market in this situation.
However, the lack of personalization, combined with the hefty initial investment, limits the market's growth. Industrial systems are becoming more complex as new technologies are integrated. At the same time, it increases the cost and complexity of maintenance and monitoring tasks to obtain trustworthy data on time.
The more sensors that are put into the system, the more data must be managed. However, digesting this enormous volume of data using database systems will be difficult. This issue is directly tied to the Big Data notion.
Historical CAGR (2017 to 2022) | Forecast CAGR (2023 to 2033) |
---|---|
12.6% | 8.3% |
As per the FMI analysts, a valuation of US$ 5.5 billion by 2033 end is estimated for the market.
2016 | US$ 1.2 million |
---|---|
2021 | US$ 2.88 billion |
2022 | US$ 2.2 billion |
2023 | US$ 2.5 billion |
2033 | US$ 5.5 billion |
Motor monitoring has become more accurate and economical as the cost of sub-meters and sensors has decreased, and big data technology has advanced.
Predictive maintenance has various advantages for the industry, including minimizing the amount of time spent on asset maintenance, reducing downtime, and maximizing the life of current assets to lower the cost of substitute components.
Factors driving the market demand for motor monitoring devices include:
The scarcity of skilled professionals at reasonable prices and limited technical knowledge is expected to be the primary factors limiting the market growth.
The increased use of predictive maintenance and other monitoring technologies prompts businesses to hire a data analysis staff. To obtain accurate information on the health of motors, this team should be well-versed in motors and their operation in a specific machine.
As a result, the indirect cost to businesses will rise. Furthermore, motor manufacturing businesses do not readily give monitoring solutions; hence, industries must seek out other organizations that specialize in providing monitoring solutions to obtain accurate monitoring solutions.
Apart from investments in motor installation, this can occasionally add to the overall cost structure. Different skill sets are required to monitor the data points generated by motor monitoring, which necessitates staff training and the establishment of a standard procedure for motor monitoring.
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An energy audit is a government-mandated standard that governs the energy audit of various electrical devices. It offers comprehensive and systematic approaches for energy cost optimization, safety considerations, and enhancing industrial system operating and maintenance standards.
Because motors account for about 70% of energy usage in any industrial setting, motor monitoring devices might result in significant power savings and assist enterprises in complying with energy audits.
This form of implementation is required in North America, Europe, and Asia. Energy audits are required in various Asian nations, including China and India. Few nations in the Middle East and Africa, such as Tunisia and Algeria, require motor monitoring systems for energy audits due to excessive electricity use across the board.
The Energy Efficiency Directive in Europe requires prominent businesses to do energy audits every four years. Penalties are imposed if these responsibilities are not met. Hence, the adoption of motor monitoring systems becomes necessary, opening wide opportunities for market players in these regions.
Motor monitoring-based software, services, and equipment are expensive, and they require specific skill sets to operate. As a result, operators must devote more resources to motor monitoring sensors that control process training and maintenance. The motor monitoring market size determines the cost and the extent to which control services are deployed.
While several enterprises may recover these expenses relatively quickly, many small and medium-sized businesses have a longer payback time for control operations. Furthermore, the payback time and return on investment (ROI) are determined by the percentage of motor monitoring system failures that are likely to occur. When all of these considerations are considered, the payback period lengthens.
Predictive Maintenance and Analytics are Becoming Increasingly Popular
Predictive maintenance is becoming recognized as one of the most easily exploited digitalization applications. Predictive maintenance is an approach for forecasting when a piece of equipment will fail and replacing it before it does. This contributes to reduced downtime and component life extension. Predictive maintenance can save millions of dollars in lost output by preventing manufacturing line downtime. While still in its early stages, predictive maintenance is proven to be extremely beneficial to the projects by offering a new source of data for both OEMs and end users.
Predictive maintenance is crucial for motor and component safety, such as motor controllers and bearings. Predictive maintenance comprises assessing the motor's operating parameters while it is under full load, as well as the effective temperature and moisture conditions.
Predictive maintenance has several advantages for the industry, including minimizing the amount of time spent on asset maintenance, reducing downtime, which means fewer missed work hours, and extending the life of current assets to reduce the cost of replacing components.
Inadequate Technical Knowledge to Manage Monitoring Solutions
The increasing use of predictive maintenance and other monitoring systems is forcing businesses to establish specialized data analysis staff. To obtain accurate information on motor health, this team should be well-versed in motors as well as their operation in a specific machine. As a result, the indirect cost to businesses will rise.
Motor manufacturing firms do not readily supply monitoring solutions; hence, industries must look for other organizations that have competence in providing monitoring solutions. Apart from investments in motor installation, this can occasionally add to the overall cost structure. Different skill sets are necessary to monitor the data points generated by motor monitoring, which necessitates staff training as well as the establishment of a standard protocol for motor monitoring. The scarcity of skilled specialists at reasonable prices is projected to be the most significant impediment to market expansion over the forecast period.
Globally, there is a Growing Emphasis on Energy Audits and Laws
An energy audit is a government norm that governs various electrical devices. It includes comprehensive and systematic approaches for energy cost optimization, safety concerns, and enhancing industrial system operating and maintenance standards. It also aids in the availability of energy costs, energy mix options, power conservation, and reliable energy supply.
Power analyzers are required to help manufacturing units and production facilities in industries such as automotive, aerospace and defense, consumer electronics, and medical equipment comply with energy audits. Penalties apply if these responsibilities are not met. Because motors consume over 70% of the energy in any industrial setting, proper motor monitoring could result in significant power savings and help firms comply with energy audits.
Long Investment Payback Period
A higher initial investment in data gathering and analysis technologies, as well as installation, is required for continuous monitoring. System engineering and installation; field instrumentation (e.g., sensors, cabling); monitoring and diagnostic system (e.g., hardware and software, installation, software licenses); user training and customer support, if necessary; system maintenance (e.g., sensor replacement, software updates); and required external expertise and support are all key considerations when calculating the total cost of ownership. These software, services, and equipment are expensive, and they require certain skill sets to operate. As a result, operators must engage in additional training and maintenance of the motor control process.
The cost incurred is determined by the size of the industry and the extent of control service implementation. While these expenditures are recovered in a relatively short amount of time for large companies, many small and medium-sized businesses confront the difficulty of controlling process payback time. Furthermore, the payback period and return on investment (ROI) are affected by the proportion or likelihood of motor failure. When these considerations are considered, the payback period is extended.
Significant Growth in Oil and Gas
Oil and gas plants currently operate several complicated systems in industrial production. Aside from this complication, if a sudden breakdown happens in the form of misalignment, looseness, unbalance, or bearing wear, the financial and environmental repercussions could be disastrous.
Induction motors are a key piece of machinery in the oil and gas business, as they are in most industries, due to their versatility and durability. Induction motors offer rotating mechanical power to multiple systems, large and small, within an oil or gas refinery, and it is, therefore, critical to monitor their operation.
The oil and gas industry has long been a pioneer in the use of predictive maintenance technologies to optimize asset performance. Artesis predictive maintenance system, for example, offers to give all the benefits of traditional condition monitoring systems at a fraction of the complexity and cost.
Artesia MCM (motor condition monitor) provides comprehensive monitoring and diagnostic capabilities for most electric motor-driven equipment by employing an intelligent, model-based approach.
Country | United States |
---|---|
CAGR (2017 to 2022) | 12.2% |
Valuation (2023 to 2033) | US$ 1.9 billion |
Country | United Kingdom |
---|---|
CAGR (2017 to 2022) | 11.2% |
Valuation (2023 to 2033) | US$ 231.5 million |
Country | China |
---|---|
CAGR (2017 to 2022) | 11.8% |
CAGR (2017 to 2022) | US$ 394.7 million |
Country | Japan |
---|---|
CAGR (2017 to 2022) | 10.7% |
Valuation (2023 to 2033) | US$ 322.6 million |
Country | South Korea |
---|---|
CAGR (2017 to 2022) | 9.3% |
Valuation (2023 to 2033) | US$ 189.8 million |
With an increased industrial expansion in countries like China and India, Asia Pacific is expected to account for significant market growth. The Indian manufacturing industry is one of the fast-growing, with a 7.9% year-on-year increase. The government's ‘Make in India’ initiative initiates plans to make India equally powerful for domestic and foreign enterprises, as well as to offer the Indian economy global respect. The demand for motor monitoring in this country will skyrocket as the scope expands.
China is a global manufacturing hub, encouraging investments in both the electricity and infrastructure sectors. Such initiative advances are likely to broaden the scope of current technology usage, including vibration monitoring solutions to help condition-based monitoring for motors.
Developed regions like North America and Europe are successfully leading in the global motor monitoring market due to the electrified transport and huge investments in energy infrastructures.
North America is likely to hold a significant market share in the global motor monitoring market. The factors behind the growth of the motor monitoring market in this region are increasing demand for electrical vehicles and lofty investments in heavy infrastructure development.
Due to environmental concerns and governments around the world looking for efficient and green sources of energy, the use of EVs and the use of motor monitoring sensors in them is increasing, and hence they are primarily in demand.
The motor monitoring survey explains that North America has invested more than US$ 85 billion in the energy infrastructure, according to the World Energy Investment report by International Energy Agency.
Even LMC International states that electric vehicles and other hybrid vehicle sales are expected to grow by 7% and 20%, respectively. The demand for motor monitoring systems is increasing globally due to the advent of electric vehicles and their increased applications. This will lead to high sales of motor monitoring devices. The market will thrive well than before with the new trends in the motor monitoring market.
A new market research report on motor monitoring explains that the market is increasing at a healthy rate as key players work on different strategies. The competitive landscape looks fierce with the involvement of established players, mid-level players, and new players entering the motor monitoring market.
As the market grows, new strategies and channels come into play. The critical global motor monitoring market players are ABB, General Electric, Siemens, Honeywell, Schneider Electric, Emerson, Eaton, Mitsubishi Electric, Rockwell Automation, and Qualitrol. Software suite & Expert services are included in the operations, service tools, and maintenance.
For example, SFK has tied hands with Sodra to provide better and more intelligent sensors that will have the ability to measure the vibrations and performance of multiple motors simultaneously. This solution came up with the launch of CONNECTIX from General Motors.
The motor monitoring market is quite competitive, with several prominent companies. Many industry companies are expanding their market worth by differentiating their products and services through unique solution offerings and predictive analytics integration.
Attribute | Details |
---|---|
Market Size Value in 2023 | US$ 2.5 billion |
Market Size Value in 2033 | US$ 5.5 billion |
Market Analysis | US$ billion for Value |
Key Region Covered | North America; Latin America; Europe; Asia Pacific; The Middle East & Africa |
Key Segments | By Deployment type, By Monitoring Process, By End User, By Offering, By Region |
Key Companies Profiled | ABB Group; Siemens AG; Honeywell International Inc.; National Instruments Corporation; General Electric Company |
Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
Customization & Pricing | Available upon Request |
Growing demand for electric vehicles, electric motors and new efficient sources of energy are the key driving forces behind the growing demand for hardware-based motor monitoring.
On-premise type of deployment or installation is the traditional way of monitoring motors. It involves storing the data and then submitting it physically with the help of motor monitoring sensors and motor monitoring modules. The on-premise segment has the most significant share in the global motor monitoring market share.
It is installed physically on motors, shafts, computers, and servers. The factors behind the preference for on-premise deployment type are the easy installation and the high security it provides to the user. The better control over data that it provides to the end user is also comparatively better than the cloud deployment type while storing data through any motor monitoring system.
It also provides accessible functions without networks and doesn’t involve third-party dealers. Even industries get a better hold over data with the help of on-premise deployment as it stores data physically. These are the key drivers behind the preference for on-premise deployment in the motor control market.
The online segment performs better than any other monitoring process as it is primarily used in plants and industries that are operational all day.
Adoption is also supported owing to its capability of storing data at any point in time. The decline in the prices of sensors, submitters, and other storage devices is also driving the high sales of motor monitoring devices. This process works through a wireless motor monitoring system and a monitoring induction motor.
The hardware segment is likely to perform better and leads the share of the global motor monitoring market.
The growing demand for electric vehicles, electric motors, and new efficient energy sources are the key driving forces behind the growing demand for all these hardware products. The hardware segment involves vibration sensors, infrared sensors, corrosion probes, ultrasound detectors, and spectrum analyzers.
The oil & gas segment is likely to hold a significant portion of the global market in the forecast period.
The primary factor behind the growth of this end-user segment is that a motor is an essential machine used in an oil & gas plant, and it needs constant monitoring to avoid any hazard. The motor monitoring devices help these plants drill in the remotest areas while analyzing the growth remotely, which contributes to their adoption in the industry.
The motor monitoring industry is valued at US$ 2.5 billion in 2023.
ABB Group, Siemens AG, and Honeywell International Inc. are the leading market players.
The online monitoring process segment is expected to lead the motor monitoring market.
The motor monitoring market registered a 12.6% CAGR from 2017 to 2022.
The United States motor monitoring is estimated to reach a valuation of US$ 1.9 billion by 2033.
1. Executive Summary | Motor Monitoring Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2017 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2017 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Offering
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Offering, 2017 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Offering, 2023 to 2033
5.3.1. Software
5.3.2. Hardware
5.3.3. Services
5.4. Y-o-Y Growth Trend Analysis By Offering, 2017 to 2022
5.5. Absolute $ Opportunity Analysis By Offering, 2023 to 2033
6. Global Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Deployment Type
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Type, 2017 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Type, 2023 to 2033
6.3.1. On-premise
6.3.2. Cloud
6.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2017 to 2022
6.5. Absolute $ Opportunity Analysis By Deployment Type, 2023 to 2033
7. Global Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Monitoring Process
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Monitoring Process , 2017 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Monitoring Process , 2023 to 2033
7.3.1. Online
7.3.2. Offline/Portable
7.4. Y-o-Y Growth Trend Analysis By Monitoring Process , 2017 to 2022
7.5. Absolute $ Opportunity Analysis By Monitoring Process , 2023 to 2033
8. Global Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By End User
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By End User, 2017 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
8.3.1. Automotive
8.3.2. Oil & Gas
8.3.3. Metals and Mining
8.3.4. Power Generation
8.3.5. Water and Wastewater Treatment
8.3.6. Food & Beverages
8.3.7. Chemicals
8.4. Y-o-Y Growth Trend Analysis By End User, 2017 to 2022
8.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
9. Global Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2017 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Europe
9.3.4. Asia Pacific
9.3.5. Middle East and Africa
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. The USA
10.2.1.2. Canada
10.2.2. By Offering
10.2.3. By Deployment Type
10.2.4. By Monitoring Process
10.2.5. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Offering
10.3.3. By Deployment Type
10.3.4. By Monitoring Process
10.3.5. By End User
10.4. Key Takeaways
11. Latin America Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Offering
11.2.3. By Deployment Type
11.2.4. By Monitoring Process
11.2.5. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Offering
11.3.3. By Deployment Type
11.3.4. By Monitoring Process
11.3.5. By End User
11.4. Key Takeaways
12. Europe Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. United Kingdom (UK)
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Europe
12.2.2. By Offering
12.2.3. By Deployment Type
12.2.4. By Monitoring Process
12.2.5. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Offering
12.3.3. By Deployment Type
12.3.4. By Monitoring Process
12.3.5. By End User
12.4. Key Takeaways
13. Asia Pacific Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. India
13.2.1.3. Thailand
13.2.1.4. Singapore
13.2.1.5. Australia
13.2.1.6. Rest of Asia Pacific
13.2.2. By Offering
13.2.3. By Deployment Type
13.2.4. By Monitoring Process
13.2.5. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Offering
13.3.3. By Deployment Type
13.3.4. By Monitoring Process
13.3.5. By End User
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of Middle East and Africa
14.2.2. By Offering
14.2.3. By Deployment Type
14.2.4. By Monitoring Process
14.2.5. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Offering
14.3.3. By Deployment Type
14.3.4. By Monitoring Process
14.3.5. By End User
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By Offering
15.1.2.2. By Deployment Type
15.1.2.3. By Monitoring Process
15.1.2.4. By End User
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By Offering
15.2.2.2. By Deployment Type
15.2.2.3. By Monitoring Process
15.2.2.4. By End User
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By Offering
15.3.2.2. By Deployment Type
15.3.2.3. By Monitoring Process
15.3.2.4. By End User
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By Offering
15.4.2.2. By Deployment Type
15.4.2.3. By Monitoring Process
15.4.2.4. By End User
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By Offering
15.5.2.2. By Deployment Type
15.5.2.3. By Monitoring Process
15.5.2.4. By End User
15.6. UK
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By Offering
15.6.2.2. By Deployment Type
15.6.2.3. By Monitoring Process
15.6.2.4. By End User
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By Offering
15.7.2.2. By Deployment Type
15.7.2.3. By Monitoring Process
15.7.2.4. By End User
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By Offering
15.8.2.2. By Deployment Type
15.8.2.3. By Monitoring Process
15.8.2.4. By End User
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By Offering
15.9.2.2. By Deployment Type
15.9.2.3. By Monitoring Process
15.9.2.4. By End User
15.10. China
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By Offering
15.10.2.2. By Deployment Type
15.10.2.3. By Monitoring Process
15.10.2.4. By End User
15.11. India
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By Offering
15.11.2.2. By Deployment Type
15.11.2.3. By Monitoring Process
15.11.2.4. By End User
15.12. Thailand
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By Offering
15.12.2.2. By Deployment Type
15.12.2.3. By Monitoring Process
15.12.2.4. By End User
15.13. Singapore
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By Offering
15.13.2.2. By Deployment Type
15.13.2.3. By Monitoring Process
15.13.2.4. By End User
15.14. Australia
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By Offering
15.14.2.2. By Deployment Type
15.14.2.3. By Monitoring Process
15.14.2.4. By End User
15.15. GCC Countries
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By Offering
15.15.2.2. By Deployment Type
15.15.2.3. By Monitoring Process
15.15.2.4. By End User
15.16. South Africa
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By Offering
15.16.2.2. By Deployment Type
15.16.2.3. By Monitoring Process
15.16.2.4. By End User
15.17. Israel
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By Offering
15.17.2.2. By Deployment Type
15.17.2.3. By Monitoring Process
15.17.2.4. By End User
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Offering
16.3.3. By Deployment Type
16.3.4. By Monitoring Process
16.3.5. By End User
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. ABB
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. General Electric
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. Siemens
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. Honeywell
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. Schneider Electric
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Emerson
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Eaton
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Mitsubishi Electric
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Rockwell Automation
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. Qualitrol
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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