PUBLISHER: Polaris Market Research | PRODUCT CODE: 1449485
PUBLISHER: Polaris Market Research | PRODUCT CODE: 1449485
The global fault detection and classification market size is expected to reach USD 8.98 billion by 2032, according to a new study by Polaris Market Research. The report "Fault Detection and Classification Market Share, Size, Trends, Industry Analysis Report, By Fault Type (Dimensional Fault, Surface Defects, Contamination Faults, Process Variability, Others); By Technology; By Offering; By Application; By End Use; By Region; Segment Forecast, 2023 - 2032" gives a detailed insight into current market dynamics and provides analysis on future market growth.
The changing manufacturers' interests in producing fault- or defect-free products in the global space coupled with government initiatives to support citizen safety, are contributing factors driving fault detection and classification market growth. It plays a major role in building consumer trust in the marketplace, as small issues in end products can cause huge losses to the end users, primarily in the case of automobile production, followed by the company.
The emergence of advanced technologies with the tremendous potential to discover faults and detect them in the manufacturing process is supporting the adoption of fault detection and classification tools in the marketplace.
The growing research studies on monitoring faults in various applications are expected to show potential opportunities for the fault detection and classification market in the long run. For instance, a 2023 study published in Science Direct explored the development of an accurate fault detection and classification system for the power supply with the utilization of machine learning. These types of innovations are likely to expand the scope of fault detection and classification tools in the coming years.
The rising innovations by the major players in the market to expand their brand coverage are positively driving market growth. For instance, in June 2023, Hyundai Elevator introduced its advanced elevator maintenance service, MIRI, developed by using a combination of technologies such as artificial intelligence, big data, and the cloud.
The higher quality assurance standards for automotive production necessitate the need for an advanced fault detection and classification market. A 2023 study published in PubMed Central focused on developing a fault diagnosis model for induction motors by using neural networks, support vector machines, and boosting methods. The utilization of emerging technologies in fault detection and classification is likely to support market growth during the forecast period.
Dimensional fault segment is anticipated to witness the highest growth in the coming years due to the rising demand for qualitative packaging of food and pharmaceutical drugs.
Machine learning algorithm segment accounted for the largest market share owing to its accurate fault detection capacity.
Software segment held largest market share in 2023, due to its flexibility and cost effectiveness.
Asia Pacific is projected to register the fastest growth during the forecast period, attributable to the growing manufacturing industry.
The global players include Amazon Web Services, Inc., Cognex Corporation, Keyence Corporation, KLA Corporation, Microsoft, OMRON Corporation, and others.
Polaris Market Research has segmented the fault detection and classification market report based on fault type, technology, offering, application, end use, and region: