Machine Condition Monitoring Market by Component (Hardware, Software), Monitoring Type (Continuous Monitoring, Periodic Monitoring), Deployment, Function, Industry - Global Forecast 2024-2030

[189 Pages Report] The Machine Condition Monitoring Market size was estimated at USD 3.14 billion in 2023 and expected to reach USD 3.35 billion in 2024, at a CAGR 7.11% to reach USD 5.08 billion by 2030.

Machine condition monitoring is a set of techniques used to monitor machinery's operational status and performance. It helps identify potential issues promptly, allowing corrective measures to be taken before the problems become too severe. Machine condition monitoring works through visual inspections, acoustic emissions monitoring, vibration analysis, oil analysis, thermography, and other methods that provide insight into the machine's health. It becomes essential to lean manufacturing facilities as it reduces downtime, boosts production efficiency, and helps with cost prediction, spare parts supplies, maintenance needs, timing, and more accurate production predictions. Consequently, this system gives manufacturers the real-time machine condition data they require to make proactive choices depending on the state of their machinery. The rising need to maintain the operational health of equipment, the significant shift toward predictive maintenance, and the growing deployment of smart factories are driving the growth of the machine monitoring equipment market. However, requirements of additional expenses, interoperability issues, and concerns regarding unreliable or faulty data may hinder market development. However, introducing smart machine monitoring systems with advanced technology may overcome these challenges and sustain the market growth in the forecast period.

The market for machine condition monitoring solutions in EMEA has grown steadily over the past few years due to significant competitors and ensuring government support for smart factory adoption. According to the European Union, 80% to 100% of manufacturing could use the Internet of Things applications, allowing machines, sensors, and other equipment to mutually connect and communicate through the Internet by 2025. Furthermore, major European players have been investing heavily in R&D efforts to develop solutions tailored to different industry verticals. As a result, competition is expected to remain fierce as more providers enter the field and existing vendors seek to differentiate themselves with specialized offerings. On the other hand, the Americas region has also observed positive growth regarding machine condition monitoring solutions uptake. Companies are emphasizing cost-effectiveness while still offering robust functionality; this could be a key area of development for the sector in the future. In the APAC region, Machine Condition Monitoring has observed a steady increase in adoption across all industries due to increasing investments in infrastructure and digital transformation initiatives. The market is expected to continue to expand over the coming years as more companies look to leverage predictive maintenance technologies.

The market dynamics represent an ever-changing landscape of the Machine Condition Monitoring Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

• Market Drivers
  • Growing adoption to maintain operational health of equipment
  • Rapid inclination towards predictive maintenance over preventive maintenance
  • Accelerated digitalization of the manufacturing sector and implementation of smart factories
• Market Restraints
  • Additional expenses and interoperability issues during retrofitting of existing system
• Market Opportunities
  • Emergence of smart and real-time machine condition monitoring solutions
  • Integration of IIoT, AI, and Big data technologies in machine condition monitoring
• Market Challenges
  • Concern regarding false prediction and unreliable or misleading information

• Component: Expanding usage of softwares or data acquisition and processing

  Machine condition monitoring hardware encompasses a range of equipment designed to detect changes in the physical performance of machinery. Key components include sensors, vibration monitoring devices, infrared cameras, spectrometers, and ultrasound detectors. Machine condition monitoring software serves as the analytical brain of the system. It is used for data acquisition, processing, and interpretation, providing actionable insights derived from the data collected by the hardware. Software systems range from standalone applications to comprehensive platforms integrating with the Industrial Internet of Things (IoT).

• Monitoring Type: Increasing inclination towards continuous monitoring to minimizing downtime and maintenance costs

  Continuous monitoring involves real-time data collection and analysis of machinery conditions. This ensures immediate detection of faults and allows for the prompt initiation of corrective actions, thereby minimizing downtime and maintenance costs. Continuous monitoring is ideal for critical equipment where unexpected failures can result in significant operational disruptions or safety risks. It involves the use of sensors, vibration analysis, acoustics, temperature measurements, and other diagnostic techniques that are integrated into machinery or systems to provide ongoing operational insights. Periodic monitoring involves the scheduled inspection and analysis of equipment at regular intervals. This method is less costly than continuous monitoring and is adequate for non-critical machinery that does not require constant surveillance. Periodic monitoring can include portable data collectors, handheld inspection devices, and routine visual checks performed by maintenance personnel.

The porter's five forces analysis offers a simple and powerful tool for understanding, identifying, and analyzing the position, situation, and power of the businesses in the Machine Condition Monitoring Market. This model is helpful for companies to understand the strength of their current competitive position and the position they are considering repositioning into. With a clear understanding of where power lies, businesses can take advantage of a situation of strength, improve weaknesses, and avoid taking wrong steps. The tool identifies whether new products, services, or companies have the potential to be profitable. In addition, it can be very informative when used to understand the balance of power in exceptional use cases.

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Machine Condition Monitoring Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Machine Condition Monitoring Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

• Acquisition of ECO-Adapt SAS strengthens Schaeffler’s portfolio of Lifetime Solutions

  Schaeffler Technologies AG & CoKG announced the acquisition of complete shares in ECO-Adapt SAS, a company that offers innovative solutions for condition monitoring based on electrical signal analysis and systems for energy consumption optimization. The acquisition extends the Industrial division’s portfolio of lifetime solutions and strengthens its position in digitally-based predictive maintenance. [Published On: March 03, 2023]

• ABB Ltd partners with Samotics to expand condition monitoring services with electrical signature analysis

  ABB Ltd, a company focused on industrial automation and digitalization, recently announced a collaboration with Samotics, a startup providing condition monitoring solutions. Together, they offer customers reliable access to suitable analytics and services to improve their overall operational and energy efficiency. This partnership is part of ABB's effort to strengthen its portfolio of condition-monitoring services by leveraging the cutting-edge technologies offered by Samotics. [Published On: September 22, 2022]

• SKF AB launches of SKF Axios powered by AWS

  SKF AB recently announced the launch of their SKF Axios powered by AWS Machine Condition Monitoring service designed to provide an advanced level of monitoring and analysis services that enable industry professionals to better monitor their machine's condition, allowing them to make decisions that can ensure the effective operation and health of their machines. With this new product launch, SKF aims to bring state-of-the-art machine condition monitoring technology directly into the hands of its customers. [Published On: May 30, 2022]

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Machine Condition Monitoring Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

The report delves into recent significant developments in the Machine Condition Monitoring Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Advanced Technology Services, Inc., ALS Limited, Amphenol Corporation, Analog Devices Inc., Baker Hughes Company, Balluff Pty Ltd., Canstar Instruments Inc., Crystal Instruments Corporation, Dewesoft d.o.o., Eaton Corporation PLC, Emerson Electric Co., Fluke Corporation, General Electric Company, Honeywell International Inc., ifm efector pty ltd., Infineon Technologies AG, International Business Machines Corporation, MachineMetrics, Inc., Mitsubishi Electric Corporation, MoviTHERM, National Instruments Corporation, NSK Ltd., Omron Corporation, Parker Hannifin Corporation, Rockwell Automation Inc., SAP SE, Schaeffler Technologies AG & CoKG, Schneider Electric SE, Siemens AG, SKF AB, Teledyne FLIR LLC, Viking Analytics, and Yokogawa Electric Corporation.

This research report categorizes the Machine Condition Monitoring Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Component
  • Hardware
    • Cameras
    • Handheld Data Collectors & Analyzers
    • Sensors
  • Software
    • Online Condition Monitoring Systems
    • Optical Condition Monitoring
    • Route-Based Monitoring
• Monitoring Type
  • Continuous Monitoring
  • Periodic Monitoring
• Deployment
  • Cloud
  • On-Premises
• Function
  • Corrosion Monitoring
  • Motor Current Analysis
  • Oil Analysis
  • Thermography
  • Vibration Monitoring
• Industry
  • Automotive Engineering
  • Industrial Processing
  • Metal Mining
  • Oil & Gas
  • Wind Energy

• Region
  • Americas
    • Argentina
    • Brazil
    • Canada
    • Mexico
    • United States
      • California
      • Florida
      • Illinois
      • New York
      • Ohio
      • Pennsylvania
      • Texas
  • Asia-Pacific
    • Australia
    • China
    • India
    • Indonesia
    • Japan
    • Malaysia
    • Philippines
    • Singapore
    • South Korea
    • Taiwan
    • Thailand
    • Vietnam
  • Europe, Middle East & Africa
    • Denmark
    • Egypt
    • Finland
    • France
    • Germany
    • Israel
    • Italy
    • Netherlands
    • Nigeria
    • Norway
    • Poland
    • Qatar
    • Russia
    • Saudi Arabia
    • South Africa
    • Spain
    • Sweden
    • Switzerland
    • Turkey
    • United Arab Emirates
    • United Kingdom

1. Market Penetration: This section thoroughly overviews the current market landscape, incorporating detailed data from key industry players.
2. Market Development: The report examines potential growth prospects in emerging markets and assesses expansion opportunities in mature segments.
3. Market Diversification: This includes detailed information on recent product launches, untapped geographic regions, recent industry developments, and strategic investments.
4. Competitive Assessment & Intelligence: An in-depth analysis of the competitive landscape is conducted, covering market share, strategic approaches, product range, certifications, regulatory approvals, patent analysis, technology developments, and advancements in the manufacturing capabilities of leading market players.
5. Product Development & Innovation: This section offers insights into upcoming technologies, research and development efforts, and notable advancements in product innovation.

1. What is the current market size and projected growth?
2. Which products, segments, applications, and regions offer promising investment opportunities?
3. What are the prevailing technology trends and regulatory frameworks?
4. What is the market share and positioning of the leading vendors?
5. What revenue sources and strategic opportunities do vendors in the market consider when deciding to enter or exit?