The fault detection and classification market has seen considerable growth due to a variety of factors.
• The market size for fault detection and classification has significantly expanded lately. Its growth is projected to continue from $4.91 billion in 2024 to $5.37 billion in 2025, with a compound annual growth rate (CAGR) of 9.3%.
The surge experienced in the historic period is because of the uptake of industrial automation, the focus on quality control and assurance, the heightened attention on operational efficiency, the rise of predictive maintenance tactics, and technological progress in sensor technology.
The fault detection and classification market is expected to maintain its strong growth trajectory in upcoming years.
• Anticipations show a robust expansion in the fault detection and classification market size in the years ahead. The market is projected to inflate to $7.56 billion by the year 2029 at a compound annual growth rate (CAGR) of 9.0%.
This positive trend during the forecast period can be linked to the growth of edge computing operations, sustained increase in the adoption of predictive maintenance, a surge in demand for cloud-based solutions, emphasis on cybersecurity in industrial settings, and adoption of industry-specific customization and solutions. Noteworthy trends of the forecast interval involve a shift to industry 4.0 and intelligent manufacturing, usage of predictive analytics for optimizing maintenance, applications of explainable AI in FDC systems, and incorporation of blockchain for securing data and enhancing transparency.
The surge in automation demand is anticipated to drive the expansion of the fault detection and classification market in the future. Automation entails the application of technology, machinery, or systems to carry out tasks or procedures with limited human involvement. The appeal of automation is growing as it has the capacity to improve efficiency, cut expenses, increase productivity, and respond to shifting market needs more effectively. Automation enhances fault detection and classification by providing real-time monitoring and predictive insights, boosting industries' operational efficiency, dependability, and safety. For example, as per the International Federation of Robotics, a professional non-profit organization based in Germany, there was a 48% increase in 2022, with total sales reaching 158,000 units for service robots used professionally in October 2023. Companies are feeling the pressure to turn to automation due to significant staff shortages. Consequently, escalating demand for automation is fueling the growth of the fault detection and classification market.
The fault detection and classification market covered in this report is segmented –
1) By Offering: Software, Hardware, Services
2) By Fault Type: Dimensional Fault, Process Variability, Surface Defects, Contamination Faults, Other Fault Types
3) By Technology: Sensor Data Analysis, Statistical Methods, Machine Learning Algorithm, Other Technologies
4) By Application: Manufacturing, Packaging
5) By End Use: Automotive, Electronic And Semiconductor, Metals And machinery, Food And packaging, Pharmaceuticals
Subsegments:
1) By Software: Fault Detection Software, Fault Classification Software, Predictive Maintenance Software, Real-Time Monitoring Software, Diagnostic Software
2) By Hardware: Sensors (Temperature Sensors, Pressure Sensors, Vibration Sensors), Data Acquisition Systems, Controllers And Actuators, Embedded Systems, Communication Infrastructure (Wireless Modules)
3) By Services: Consulting Services, Integration And Implementation Services, Maintenance And Support Services, Managed Services, Training And Support Services
In their drive to increase precision and streamline operational effectiveness, leading businesses in the fault detection and classification market are prioritizing the incorporation of sophisticated technologies like AI into FDC Solutions. AI-powered fault detection is a system that leverages AI algorithms and methods to automatically pinpoint and troubleshoot faults or abnormalities in systems, equipment, or processes. For instance, in August 2023, Lucy Electric UK Ltd., an electrical and electronic manufacturing firm based in the UK, premiered SYNAPS, a ground-breaking AI technology designed to transform fault detection and asset management for subterranean cables. This unified solution combines state-of-the-art grid monitoring with AI and machine learning to mitigate faults on the LV network. This trailblazing technology has the potential to enhance fault management, enable preemptive maintenance, reduce customer power interruptions, and result in substantial cost savings for network operators.
Major companies operating in the fault detection and classification market are:
• Microsoft Corporation
• Amazon Web Services Inc.
• Siemens AG
• Applied Materials Inc.
• Tokyo Electron Limited
• Doosan Corporation
• KLA Corporation
• Hyundai Heavy Industries
• OMRON Corporation
• Keyence Corporation
• Teledyne Technologies
• Edwards Limited
• Synopsys Inc.
• Advantest Corporation
• LS Electric Co. Ltd.
• Cognex Corporation
• Datalogic S.P.A
• INFICON Holding AG
• DWFritz Automation LLC
• MobiDev
• elunic AG
• eInnoSys Technologies Inc.
• Chooch Intelligence Technologies
• Kili Technology
North America was the largest region in the fault detection and classification market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the fault detection and classification market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.