Fault Detection and Classification Market Size

  • Report ID: 5925
  • Published Date: Sep 16, 2025
  • Report Format: PDF, PPT

Fault Detection and Classification Market Outlook:

Fault Detection and Classification Market size was over USD 5.79 billion in 2025 and is projected to reach USD 13.83 billion by 2035, growing at around 9.1% CAGR during the forecast period i.e., between 2026-2035. In the year 2026, the industry size of fault detection and classification is evaluated at USD 6.26 billion.

The reason behind the growth is impelled by the growing manufacturing industry across the globe. Over the past ten years, there has been steady growth in the manufacturing sector worldwide driven by changing consumer needs, and technology improvements acting as significant change agents. For instance, in 2022, the manufacturing sector worldwide reached around USD 9 trillion.

The growing integration of AI is believed to fuel the market growth. Numerous AI techniques, such as those for data processing, data mining, feature analysis, and classification, have been used in fault detection and classification since they have become extremely useful for automating error detection and prediction processes.


Fault Detection and Classification Market Size

Browse key industry insights with market data tables & charts from the report:

Frequently Asked Questions (FAQ)

In the year 2026, the industry size of fault detection and classification is evaluated at USD 6.26 billion.

The global fault detection and classification market size was worth over USD 5.79 billion in 2025 and is poised to grow at a CAGR of more than 9.1%, reaching USD 13.83 billion revenue by 2035.

Asia Pacific fault detection and classification (fdc) market will hold more than 35% share by 2035, driven by growing urbanization, economic development, and industrialization, leading to higher adoption of fault detection and classification systems.

Key players in the market include KLA Corp., Microsoft Corp., OMRON Corp., Siemens AG, DNV Group AS, Lucy Electric, einnoSys Technologies Inc., elunic AG, INFICON Holding AG, Synopsys Inc., Musashi Seimitsu.
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