USD 3.19 billion
Report ID:
SQMIG20I2408 |
Region:
Global |
Published Date: June, 2025
Pages:
192
|Tables:
0
|Figures:
0
Global Machine Condition Monitoring Market size was valued at USD 3.19 Billion in 2023 and is poised to grow from USD 3.44 Billion in 2024 to USD 6.27 Billion by 2032, growing at a CAGR of 7.8% during the forecast period (2025-2032).
The need to provide advanced diagnostics and aid in determining the machine's condition has fueled the global machine condition monitoring market growth.
Manufacturers have searched for condition monitoring systems to optimize and monitor the maintenance and performance of their equipment. As a result of the lean manufacturing movement, manufacturers are also seeking condition monitoring to improve spare parts supply, decrease downtime, boost production efficiency, and predict costs. Stakeholders are increasingly interested in condition monitoring for improved productivity, equipment longevity, reducing and eliminating downtime, minimizing scrap parts, and using automation based on real-time machine condition data.
Can AI Reduce Downtime and Operational Costs in Industrial Settings?
Artificial intelligence (AI) is changing the machine condition monitoring market outlook through predictive maintenance, minimizing down time and reducing operational expenses. AI employs machine learning algorithms and real-time data analytics to find problems and predict potential equipment failures prior to failure. In 2024, Siemens integrated artificial intelligence (AI) technologies within its condition monitoring system, enabling the company to identify problems, diagnose them in real-time, and optimize their manufacturing plants worldwide. In 2025, SKF partnered with Amazon Web Services to enhance its AI and advanced analytics platform, thus improving the accuracy of vibration analysis. Enhancements like these can improve performance and extend the life of assets within sectors such as manufacturing, energy, oil and gas etc. It is expected that efficiency and reliability of industrial maintenance approaches will improve extensively as more firms adopt AI.
Market snapshot - 2025-2032
Global Market Size
USD 3.19 billion
Largest Segment
Vibration Analysis
Fastest Growth
Thermography
Growth Rate
7.8% CAGR
To get more reports on the above market click here to Buy The Report
The global machine condition monitoring market is segmented into offering, monitoring technique, deployment, end user, and region. By offering, the market is classified into hardware, software, and services. Depending on monitoring technique, it is divided into vibration analysis, thermography, ultrasound emission, lubricating oil analysis, motor-current signature, and corrosion & wear debris. According to deployment, the market is categorized into online/continuous systems, portable/periodic instruments, and wireless IIoT sensor networks. As per end user, it is fragmented into oil & gas, power generation, metals & mining, chemicals & petrochemicals, automotive & transportation, aerospace & defense, food & beverage, and marine. Regionally, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa.
As per the 2024 global machine condition monitoring market analysis, vibration analysis maintained its 34.2% market share due to its ability to identify flaws in spinning machinery. It has gained popularity in many industries due to its massive failure signature database and OEMs installing accelerometers at the point of sale. For instance, Siemens added AI-enhanced vibration analytics to its Predictive Services package at the beginning of 2025. Manufacturers were able to identify misalignments and imbalances earlier due to this. In contrast, ultrasound emissions are increasing at an annual rate of 11.8%. It is more effective at detecting compressed-air leaks and early-stage bearing failures, particularly in noisy environments like the chemical and automotive industries.
Thermography is growing in popularity due to AI-driven systems that use cloud-based dashboards to automatically detect thermal abnormalities and enhance real-time diagnosis. Field inspectors can move around more easily and conveniently due to wearable integrations, such as the Teledyne FLIR and RealWear partnership. Additionally, multi-modal monitoring suites are expanding to include analysis of oil and motor current signatures, allowing them to now cover electrical and lubrication systems as well.
Based on the 2024 global machine condition monitoring market forecast, unplanned outages in upstream or midstream operations could cost millions of dollars; oil & gas activities accounted for 27.3% of the demand for machine condition monitoring. Businesses are concerned about the reliability of their pumps, turbines, and compressors, particularly during inclement weather. The original purpose of Bentley Nevada's turbine health monitoring platforms was to assist in the production of electricity. They are now employed on land and at sea in a wide variety of other ways. Additionally, real-time monitoring is being used more frequently to detect gas leaks and pipeline compressor seal failures because of new regulations against methane emissions in the US, Canada, and Europe. AI-based monitoring has been used by companies such as BP and Shell to prevent issues before they arise, reduce regulatory risks, and maintain operations.
The food & beverage industry is expected to grow at a compound annual growth rate of 10.5% due to stringent hygiene regulations, sustainability demands, and the desire to prevent expensive spoiling. Unintentional equipment failures, such as those in refrigeration units, conveyors, and pasteurizers, may require the disposal of entire product batches. Businesses are investing in Internet of Things-based predictive maintenance to reduce this. Beverage dispenser manufacturer Celli Group reported that their equipment failure rate decreased by 13% in 2024 after implementing IoT sensors and cloud diagnostics.
To get detailed analysis on other segments, Request For Free Sample Report
As per the machine condition monitoring market regional analysis, North America led with a revenue share of over 36% in 2024. Promising growth prospects are anticipated in the United States and Canada, in contrast to the optimistic demand from the power generation, aerospace, oil and gas, marine, and food and beverage industries. A popular trend for tracking the condition of lubricants used in oil and gas platform machinery is vibration monitoring. As offshore oil exploration expands across North America, progressive companies may be able to strengthen their position in the regional market. Reliability and predictive maintenance for oil condition monitoring are set to rise.
By 2025, the U.S. machine condition monitoring market is anticipated to be the biggest in North America, with a projected market share of USD 1.37 billion. This is a result of its widespread application in the energy, aerospace, and industrial manufacturing sectors. Businesses are using AI-powered vibration, oil analysis, and thermography systems to find problems before they cause downtime. In 2024, for instance, Honeywell and General Electric expanded their smart monitoring initiatives to include all of their factories.
Canada is a major supplier to the North American machine condition monitoring sector, which is projected to be valued at USD 1.37 billion by 2025. In industries like mining, utilities, and oil and gas, investments in predictive maintenance are supporting growth. For example, Hydro-Québec started putting temperature and vibration-based sensors in substations in 2024 to avoid expensive failures. This suggests that alterations to public and commercial infrastructure are spreading.
The machine condition monitoring market in Europe is expected to expand significantly over the forecast period due to increased investments in automation and digitization across a variety of industries. Strict environmental and equipment safety regulations in the region are forcing businesses to install state-of-the-art monitoring systems to ensure compliance and lower operational risks.
The UK accounts for a sizeable machine condition monitoring market share in Europe, which is expected to grow to a value of USD 1.03 billion by 2025. The country's industrial and defense sectors are quickly incorporating IoT and AI-powered diagnostic systems. To increase the effectiveness of aircraft maintenance, Rolls-Royce, for instance, expanded the number of remote engine monitoring programs in 2024. This proves that the UK is leading the way in predictive technology.
France's use of industrial condition monitoring supports the projected USD 1.03 billion market in Europe in 2025. Manufacturers of cars and airplanes are integrating thermography and sophisticated vibration sensors into their production processes. For instance, Renault installed real-time diagnostic systems in a number of its factories in 2024. This is in line with France's Industry 4.0 goals for automation, energy efficiency, and preventative maintenance.
Germany is a major player in Europe's USD 1.03 billion machine condition monitoring industry in 2025. Smart sensors are being used by the country's highly developed automotive and mechanical engineering sectors to improve uptime. Bosch started a massive predictive maintenance program in its factories in 2024, utilizing artificial intelligence and acoustic sensors. This illustrated Germany's ambition for smart factory excellence in the Industrie 4.0 era.
The Asia Pacific machine condition monitoring market is anticipated to expand at the fastest rate during the forecast period. China is expected to be the largest market in the region, followed by India and Japan, due to their extensive manufacturing bases and government initiatives promoting Industry 4.0 technologies. Important firms like SKF, General Electric, and Honeywell International Inc. are investing in research and development and expanding their footprint in Asia Pacific, which is contributing to the market's growth.
The machine condition monitoring market in South Korea is growing quickly, which benefits Asia-Pacific overall. The industrial sector in South Korea, especially in the fields of robots and semiconductors, depends heavily on predictive tools. The global market for these tools is expected to reach a valuation of USD 3.37 billion by 2025. To decrease production halts and increase equipment lifespan, Hyundai Motors installed AI-powered vibration monitoring equipment at its Ulsan plant in 2024.
The machine condition monitoring market in Japan is estimated to be worth USD 177 million in 2024 due to its widespread use in the electronics and automotive industries. In 2024, Toyota deployed real-time acoustic and vibration analytics at all of its US factories to detect bearing problems and maintain production. The need for factory automation and the aging of the workforce are additional factors driving the high demand for condition-based maintenance solutions.
To know more about the market opportunities by region and country, click here to
Buy The Complete Report
Predictive Maintenance is Gaining Popularity
Combining IoT and Industry 4.0
Large Upfront Costs is Required
Lack of Skills in Employees
Request Free Customization of this report to help us to meet your business objectives.
The large companies are concentrating on mergers, strategic alliances, and the release of new products in the competitive machine condition monitoring market. AI and wireless technology are being used by companies such as SKF and Emerson to enhance their predictive maintenance offerings. For remote monitoring, GE and Honeywell are investing in cloud-integrated platforms. By establishing regional manufacturing plants and service networks, companies are also concentrating on developing markets in Asia-Pacific. They will be able to support the digitization of industry and expand their local presence as a result.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, industry 4.0, the move to predictive maintenance, and the requirement for asset dependability across all industries are all driving rapid changes in the global machine condition monitoring market. Condition monitoring systems are becoming smarter and simpler to employ as IoT, AI, and wireless technology continue to work with each other. Even though there are challenges such as lack of skilled labor and high costs hindering widespread adoption, many regional markets are poised for growth in the Asia-Pacific and North America, based on increases in manufacturing, energy, and overall infrastructure. As companies large and small invest heavily in cloud-based solutions and advanced diagnostics, the competition is driving innovation. With the demand for equipment performance increasingly affecting operational effectiveness, machine condition monitoring will play a larger role in planning for industrial maintenance.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 3.19 Billion |
Market size value in 2032 | USD 6.27 Billion |
Growth Rate | 7.8% |
Base year | 2024 |
Forecast period | 2025-2032 |
Forecast Unit (Value) | USD Billion |
Segments covered |
|
Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
|
Customization scope | Free report customization with purchase. Customization includes:-
|
To get a free trial access to our platform which is a one stop solution for all your data requirements for quicker decision making. This platform allows you to compare markets, competitors who are prominent in the market, and mega trends that are influencing the dynamics in the market. Also, get access to detailed SkyQuest exclusive matrix.
Buy The Complete Report to read the analyzed strategies adopted by the top vendors either to retain or gain market share
Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Machine Condition Monitoring Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Machine Condition Monitoring Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Machine Condition Monitoring Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Machine Condition Monitoring Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
REQUEST FOR SAMPLE
Global Machine Condition Monitoring Market size was valued at USD 3.19 Billion in 2023 and is poised to grow from USD 3.44 Billion in 2024 to USD 6.27 Billion by 2032, growing at a CAGR of 7.8% during the forecast period (2025-2032).
The large companies are concentrating on mergers, strategic alliances, and the release of new products in the competitive machine condition monitoring market. AI and wireless technology are being used by companies such as SKF and Emerson to enhance their predictive maintenance offerings. For remote monitoring, GE and Honeywell are investing in cloud-integrated platforms. By establishing regional manufacturing plants and service networks, companies are also concentrating on developing markets in Asia-Pacific. They will be able to support the digitization of industry and expand their local presence as a result. 'Sensirion AG', 'KCF Technologies', 'Status Pro Maschinenmesstechnik GmbH', 'Honeywell International Inc.', 'Siemens AG', 'Rockwell Automation', 'Parker Hannifin Corporation', 'Brüel & Kjær Vibro', 'National Instruments Corporation', 'Schaeffler Technologies AG', 'ABB Ltd.', 'Azima DLI', 'ALS Limited', 'Fluke Corporation'
Predictive maintenance is increasingly being used by the oil and gas, manufacturing, and power generation sectors to prevent unscheduled downtime. Operational costs are reduced by identifying issues early on with condition monitoring techniques like vibration and oil analysis. Real-time machine monitoring is becoming increasingly crucial for both developed and emerging economies due to digital transformation initiatives and the growing expenses associated with equipment failures.
Rising Availability of More Cloud-Based Monitoring Platforms: Cloud-based services are now more frequently utilized to remotely monitor things, molded after the social media model. They can collect and analyze data in many ways simultaneously from various sites and provide access to data that can be incorporated and scaled. Organizations are using cloud-enabled services/solutions to save, work together, and accelerate interaction. This machine condition monitoring industry trend is particularly relevant in fragmented industries, such as energy, transportation, and water treatment, when assets/resources are often separated by geography or jurisdiction.
What’s Fueling the Rise of Oil Condition Monitoring in North America?
Want to customize this report? This report can be personalized according to your needs. Our analysts and industry experts will work directly with you to understand your requirements and provide you with customized data in a short amount of time. We offer $1000 worth of FREE customization at the time of purchase.
Feedback From Our Clients
Report ID: SQMIG20I2408
sales@skyquestt.com
USA +1 351-333-4748