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Fault Detection and Classification (FDC) Market Research Report Information By Fault Type (Dimensional Fault, Surface Defects, Contamination Faults, Process Variability and Others), By Sensor Data (Statistical Methods, Machine Learning Algorithm and Others), By Application (Manufacturing and Packaging), By End Use (Automotive, Electronic and Semiconductor, Metals & Machinery, Food & Packaging and Pharmaceuticals), And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Industry Size, Share and Forecast Till 2032


ID: MRFR/SEM/10941-CR | 128 Pages | Author: Shubham Munde| October 2023

Global Fault Detection and Classification (FDC) Market Overview:


Fault Detection and Classification (FDC) Market Size was valued at USD 4.6 Billion in 2022. The Fault Detection and Classification (FDC) market industry is projected to grow from USD 5.04 Billion in 2023 to USD 8.2 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 9.20% during the forecast period (2023-2032). The increasing manufacturing complexity and rising demand for quality assurance is driving demand for fault detection and classification (FDC) are the key market drivers enhancing the market growth.


Fault Detection and Classification (FDC) Market Overview


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Fault Detection and Classification (FDC) Market Trends




  • Rising demand for quality assurance is anticipated to driving the market growth




In the Fault Detection and Classification (FDC) Market, the growing demand for quality assurance stands as a paramount driver. This substantial growth is largely attributed to the increasing need for stringent quality assurance in various industries, including manufacturing, automotive, and electronics. For instance, semiconductor manufacturers such as Taiwan Semiconductor Manufacturing Company (TSMC) have reported that FDC solutions have led to substantial improvements in quality control and defect reduction. Furthermore, in highly regulated sectors like pharmaceuticals, FDC systems have become indispensable for fault detection and classification, as evidenced by their adoption by major pharmaceutical manufacturers including Pfizer and Roche. These trends reflect a global emphasis on quality assurance, highlighting FDC as a vital player in ensuring product quality. Thus, such drivers are expected to driving the Fault Detection and Classification (FDC) market revenue.


In addition, the complexity of manufacturing processes is on the rise globally, and this is another significant driver for the FDC market. The adoption of advanced automation, robotics, and Industry 4.0 technologies has made manufacturing processes more intricate and demanding, necessitating the use of sophisticated FDC systems for effective monitoring and management. This complexity is underscored by data from the International Federation of Robotics (IFR), showing a notable increase in the use of industrial robots across various manufacturing industries. Prominent global manufacturers like General Electric have harnessed FDC solutions to address the challenges posed by complex manufacturing processes. GE's experiences reveal substantial enhancements in process efficiency and defect reduction resulting from their implementation of FDC systems. These trends in manufacturing complexity signify the integral role that FDC systems play in optimizing operations amidst increasing intricacy, thereby driving the growth of the global FDC market.


Moreover, the real-world adoption of FDC systems by leading organizations further underscores the significance of these drivers. In the semiconductor industry, TSMC's success in quality control and defect reduction through FDC implementation exemplifies the critical role of FDC in addressing quality assurance. In the pharmaceutical sector, Pfizer and Roche, two major pharmaceutical manufacturers, have embraced FDC solutions for fault detection and classification to ensure compliance with stringent quality requirements. These use cases underscore the market's emphasis on quality assurance, highlighting FDC as a pivotal component in maintaining product quality. Similarly, global manufacturing giants such as General Electric have experienced tangible benefits from implementing FDC systems to navigate increasing manufacturing complexities, affirming FDC's role in enhancing process efficiency and reducing defects. Collectively, these supportive examples and data serve to validate the driving force behind the global FDC market's growth.


Fault Detection and Classification (FDC) Market Segment Insights:


Fault Detection and Classification (FDC) Fault Type


The Fault Detection and Classification (FDC) Market segmentation, based on fault type includes dimensional fault, surface defects, contamination faults, process variability, and others. The dimentional fault segment dominated the market due to the FDC systems contribute to predictive maintenance efforts, reducing unexpected downtime and extending the lifespan of industrial equipment.


Fault Detection and Classification (FDC) Sensor Data Analytics


The Fault Detection and Classification (FDC) Market segmentation, based on sensor data and analytics, includes statistical methods, machine learning algorithm, and others. The machine learning algorithm category generated the most revenue in 2022 owing to the global expansion of manufacturing which supported the machine learning algorithm demand.


Figure 1: Fault Detection and Classification (FDC) Market, by Sensor Data Analytics, 2022 & 2032 (USD Billion)


Fault Detection and Classification (FDC) Market, by Sensor Data Analytics, 2022 & 2032


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Fault Detection and Classification (FDC) Offering


The Fault Detection and Classification (FDC) Market segmentation, based on offering includes software, hardware, and services. The software segment dominated the market, due to the growing the adoption of Industry 4.0 principles and the Internet of Things (IoT) in manufacturing has created opportunities for real-time data monitoring and analysis, making FDC systems essential for predictive maintenance and process optimization.


Fault Detection and Classification (FDC) Application


The Fault Detection and Classification (FDC) Market segmentation, based on application, includes manufacturing, and packaging. The manufacturing category generated the most revenue in 2022 owing to the growing industry 4.0.


Fault Detection and Classification (FDC) End Use


The Fault Detection and Classification (FDC) Market segmentation, based on end use includes automotive, electronic and semiconductor, metals & machinery, food & packaging, and pharmaceuticals. The automotive segment dominated the market, due to the increasing connectivity of industrial systems there is a growing need for FDC systems to also address cybersecurity issues, adding to their importance.


Fault Detection and Classification (FDC) Regional Insights


By region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North American region Fault Detection and Classification (FDC) market dominated in global level due to the ongoing advancements in sensor technology, data analytics, and artificial intelligence are enhancing the capabilities and accuracy of FDC systems.


Further, the major countries studied in the market report are The US, Canada, Germany, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.


Figure 2: Fault Detection and Classification (FDC) Market SHARE BY REGION 2022 (USD Billion)


Fault Detection and Classification (FDC) Market SHARE BY REGION 2022


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Europe Fault Detection and Classification (FDC) market accounts for the second-largest market share due to the increased awareness of energy efficiency, and reducing downtime and operational costs. Further, the Germany Fault Detection and Classification (FDC) market held the largest market share, and the UK Fault Detection and Classification (FDC) market was the fastest growing market in the European region.


The Asia-Pacific Fault Detection and Classification (FDC) market is expected to grow at the fastest CAGR from 2023 to 2032. The growth of manufacturing industries in emerging markets, along with the expansion of established manufacturing sectors, has increased the demand for FDC solutions. Moreover, China’s Fault Detection and Classification (FDC) market held the largest market share, and the Indian Fault Detection and Classification (FDC) market was the fastest growing market in the Asia-Pacific region.


Fault Detection and Classification (FDC) Key Market Players & Competitive Insights


Leading market players are Fault Detection and Classification (FDC) competitive landscape includes several key players, both large and small, as well as potential market entrants due to the growing consumer demand for advanced technologies, the market is competitive, with important market developments including new product launches, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, Fault Detection and Classification (FDC) industry must offer cost-effective products.


Fault Detection and Classification (FDC) is frequently produced by big IT companies used by key players in the global Fault Detection and Classification (FDC) industry to benefit organizations and increase the market sector. In recent years, the Fault Detection and Classification (FDC) industry has offered some of the most significant advantages to enterprises. Major players in the Fault Detection and Classification (FDC) market, including Keyence Corporation, Cognex Corporation, KLA Corporation, Teledyne Technologies, OMRON Corporation, Microsoft, Tokyo Electron Limited, Siemens, Amazon Web Services, Inc., Synopsys, Inc., Applied Materials, Inc., einnoSys Technologies Inc., Datalogic, PDF Solutions, Nikon Corporation, and others, are attempting to increase market demand by investing in research and development operations.


Keyence Corporation is a renowned Japanese company specializing in the development and manufacturing of automation and quality control equipment. Founded in 1974, the company has grown to become a global leader in the automation and inspection industry. Keyence's product portfolio includes a wide range of cutting-edge technologies, such as sensors, measurement systems, laser markers, machine vision systems, and various industrial automation solutions. They cater to diverse sectors, including manufacturing, automotive, electronics, and pharmaceuticals, by providing innovative solutions that improve efficiency, quality, and productivity in industrial processes. Keyence is known for its commitment to research and development, ensuring that its products are at the forefront of technological advancements in the automation and quality control sectors.


Cognex Corporation is an American technology company founded in 1981, specializing in machine vision systems and industrial barcode readers. The company has established itself as a global leader in the field of machine vision and image-based barcode reading, serving a broad spectrum of industries, including manufacturing, logistics, and healthcare. Cognex's solutions enable automated quality inspection, process control, and logistics optimization through its range of high-performance vision systems and software. The company's commitment to innovation and quality has allowed it to build a strong reputation for providing reliable and high-precision vision technology. Cognex is at the forefront of technological advancements, continually evolving to meet the ever-increasing demands of industries seeking automation and quality control solutions.


Key Companies in the Fault Detection and Classification (FDC) market include




  • Keyence Corporation




  • Cognex Corporation




  • KLA Corporation




  • Teledyne Technologies




  • OMRON Corporation




  • Microsoft




  • Tokyo Electron Limited




  • Siemens




  • Amazon Web Services, Inc.




  • Synopsys, Inc.




  • Applied Materials, Inc.




  • einnoSys Technologies Inc.




  • Datalogic




  • PDF Solutions




  • Nikon Corporation




Fault Detection and Classification (FDC) Industry Developments


In May 2021: INFICON, a prominent supplier of software and hardware solutions for the semiconductor and associated sectors, is pleased to introduce its latest innovation, the SmartFDC Machine Learning Anomaly Detection System. This cutting-edge system harnesses the power of Machine Learning (ML) to equip process and equipment engineers with user-friendly tools for mitigating product risks and swiftly addressing production challenges. It does so while offering comprehensive Fault Detection and Classification (FDC) coverage automatically. The results of the ML analysis are presented in a manner that is both automated and straightforward, granting engineers of varying proficiency levels access to a valuable resource. This streamlined approach significantly reduces the time needed to identify issues in the production line and diagnose anomalies detected by the system.


Fault Detection and Classification (FDC) Market Segmentation:


Fault Detection and Classification (FDC) Fault Type




  • Dimensional Fault




  • Surface Defects




  • Contamination Faults




  • Process Variability




  • Others




Fault Detection and Classification (FDC) Sensor Data Analytics




  • Statistical Methods




  • Machine Learning Algorithm




  • Others




Fault Detection and Classification (FDC) Offering




  • Software




  • Hardware




  • Services




Fault Detection and Classification (FDC) Application




  • Manufacturing




  • Packaging




Fault Detection and Classification (FDC) End Use




  • Automotive




  • Electronic and Semiconductor




  • Metals & machinery




  • Food & packaging




  • Pharmaceuticals




Fault Detection and Classification (FDC) Regional Outlook




  • North America




    • US




    • Canada






  • Europe




    • Germany




    • France




    • UK




    • Italy




    • Spain




    • Rest of Europe






  • Asia-Pacific




    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific






  • Rest of the World




    • Middle East




    • Africa




    • Latin America





Report Attribute/Metric Details
Market Size 2022 USD 4.6 Billion
Market Size 2023 USD 5.04 Billion
Market Size 2032 USD 8.2 Billion
Compound Annual Growth Rate (CAGR) 9.20% (2023-2032)
Base Year 2022
Market Forecast Period 2023-2032
Historical Data 2018- 2022
Market Forecast Units Value (USD Billion)
Report Coverage Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
Segments Covered Fault Type, Sensor Data Analytics, Offering, Application, and End Use
Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
Countries Covered The US, Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
Key Companies Profiled Keyence Corporation, Cognex Corporation, KLA Corporation, Teledyne Technologies, OMRON Corporation, Microsoft, Tokyo Electron Limited, Siemens, Amazon Web Services, Inc., Synopsys, Inc., Applied Materials, Inc., einnoSys Technologies Inc., Datalogic, PDF Solutions, Nikon Corporation
Key Market Opportunities The growing technological advancements
Key Market Dynamics The growing need for predictive maintenance


Frequently Asked Questions (FAQ) :

The Fault Detection and Classification (FDC) Market size was valued at USD 4.6 Billion in 2022.

The global market is projected to grow at a CAGR of 9.20% during the forecast period, 2023-2032.

North America had the largest share in the global market

The key players in the market are Keyence Corporation, Cognex Corporation, KLA Corporation, Teledyne Technologies, OMRON Corporation, Microsoft, Tokyo Electron Limited, Siemens, Amazon Web Services, Inc., Synopsys, Inc., Applied Materials, Inc., einnoSys Technologies Inc., Datalogic, PDF Solutions, Nikon Corporation, and others.

The dimentional fault category dominated the market in 2022.

The automotive had the largest share in the global market.

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