FDC(Fault Detection and Classification) 시장 예측(-2030년) : 이상 유형, 구성요소, 기술, 용도, 최종사용자, 지역별 세계 분석

According to Stratistics MRC, the Global Fault Detection and Classification Market is accounted for $4.8 billion in 2023 and is expected to reach $10.0 billion by 2030 growing at a CAGR of 10.9% during the forecast period. Fault Detection and Classification (FDC) is a set of techniques and methodologies used in various fields, such as engineering, manufacturing, and data analysis, to identify and categorize abnormalities or faults in a system or process. The primary goal is to monitor systems continuously, detect any deviations from normal operation, and classify these deviations into different fault categories based on their characteristics.

Market Dynamics:

Driver:

Increasing complexity in industrial processes

Advanced technologies like machine learning, artificial intelligence, and big data analytics are being integrated to enhance the accuracy and speed of identifying faults. This market trend reflects a shift towards predictive maintenance and proactive risk management, enabling industries to minimize downtime, improve operational efficiency, and ensure product quality, ultimately driving growth in the fault detection and classification sector. Therefore, the market is witnessing a surge in complexity within industrial processes.

Restraint:

Data privacy and security concerns

FDC systems are susceptible to cybersecurity threats such as hacking, malware, and data manipulation. Vulnerabilities in software or network infrastructure can be exploited to compromise the integrity and confidentiality of data. These systems often deal with sensitive data related to industrial processes, equipment performance, and operational metrics. Ensuring the secure handling, storage, and transmission of this data is essential to prevent unauthorized access or data breaches. Hence, these are the factors restraining the growth of the market.

Opportunity:

Advancements in sensor technologies

In the market, sensor technologies have witnessed significant advancements. These include the integration of AI algorithms for real-time data analysis, the use of advanced signal processing techniques like wavelet transforms, and the development of smart sensors with enhanced sensitivity and accuracy. Additionally, there's a trend towards multi-sensor fusion systems that combine data from various sources for more comprehensive fault detection and classification capabilities.

Threat:

Lack of skilled professionals

The market is experiencing a significant challenge due to a shortage of skilled professionals. This scarcity hampers the efficient implementation and utilization of these systems across industries. The complexities involved in analyzing and interpreting data for fault detection require specialized expertise, which is currently lacking in the market. As a result, companies face hurdles in optimizing their operations and maintaining high levels of reliability and productivity.

Covid-19 Impact:

The COVID-19 pandemic significantly impacted the Fault Detection and Classification market. With industries facing disruptions and reduced operations, the demand for solutions fluctuated. Initially, there was a slowdown due to budget constraints and project delays. However, as industries adapted to remote operations, there was a surge in the adoption of AI-driven systems to ensure operational continuity and efficiency. This shift accelerated innovation and led to the development of more robust and adaptable solutions.

The surface defects segment is expected to be the largest during the forecast period

The surface defects segment is expected to be the largest during the forecast period. These defects, ranging from scratches and dents to cracks and discoloration, are indicators of potential product failures or quality issues. In the market for fault detection and classification systems, there is a growing demand for advanced technologies like computer vision and machine learning algorithms that can accurately identify and categorize surface defects, leading to improved product quality and operational efficiency.

The statistical methods segment is expected to have the highest CAGR during the forecast period

The statistical methods segment is expected to have the highest CAGR during the forecast period driven by the increasing adoption of advanced analytics tools across various industries. These methods offer efficient ways to detect and classify faults in complex systems, ensuring timely interventions and maintenance. With advancements in machine learning and data analytics, statistical techniques are becoming more sophisticated, providing enhanced accuracy and reliability in fault detection and classification processes.

Region with largest share:

North America is projected to hold the largest market share during the forecast period driven by advancements in automation technologies and increasing demand for efficient industrial processes. Key players are focusing on developing sophisticated algorithms and AI-powered solutions to enhance fault detection accuracy and reduce downtime. Industries such as manufacturing, energy, and automotive are major adopters of the systems, further fueling market expansion.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period driven by various factors such as increasing industrialization, technological advancements, and the need for efficient manufacturing processes. The market has benefited from advancements in sensor technologies, data analytics algorithms, and machine learning capabilities. These advancements have made systems more robust, accurate, and adaptable to a wide range of manufacturing processes.

Key players in the market

Some of the key players in Fault Detection and Classification market include Teledyne Technologies, OMRON Corporation, Microsoft, Keyence Corporation, Applied Materials, Inc., Synopsys, Inc., Cognex Corporation, Nikon Corporation, KLA Corporation, Amazon Web Services, Inc., Tokyo Electron Limited, Siemens, Datalogic, BeyondMinds, Qualitas Technologies., Elunic AG, DNV Group AS and EinnoSys Technologies Inc.

Key Developments:

In August 2023, Synopsys, Inc. launched Synopsys Software Risk Manager, a powerful new application security posture management (ASPM) solution. Software Risk Manager enables security and development teams to simplify, align and streamline their application security testing across projects, teams and application security testing (AST) tools.

In July 2022, Microsoft collaborated with Birlasoft to Establish Generative AI Centre of Excellence, Shares Rebound After Announcement. Birlasoft will utilize Azure OpenAI Service features for product design, process optimization, quality and defect detection, predictive maintenance, and digital twins for the manufacturing sector.

Fault Types Covered:

• Contamination Faults
• Process Variability
• Dimensional Fault
• Surface Defects
• Other Fault Types

Components Covered:

• Hardware
• Software
• Services

Technologies Covered:

• Machine Learning Algorithm
• Sensor Data Analysis
• Statistical Methods
• Other Technologies

Applications Covered:

• Packaging
• Manufacturing
• Other Applications

End Users Covered:

• Metals & Machinery
• Pharmaceuticals
• Automotive
• Electronic and Semiconductor
• Food
• Other End Users

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Technology Analysis
• 3.7 Application Analysis
• 3.8 End User Analysis
• 3.9 Emerging Markets
• 3.10 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Fault Detection and Classification Market, By Fault Type

• 5.1 Introduction
• 5.2 Contamination Faults
• 5.3 Process Variability
• 5.4 Dimensional Fault
• 5.5 Surface Defects
• 5.6 Other Fault Types

6 Global Fault Detection and Classification Market, By Component

• 6.1 Introduction
• 6.2 Hardware
  • 6.2.1 Communication Interfaces
  • 6.2.2 Actuators
  • 6.2.3 Sensors
  • 6.2.4 Detectors
  • 6.2.5 Control Units
• 6.3 Software
• 6.4 Services

7 Global Fault Detection and Classification Market, By Technology

• 7.1 Introduction
• 7.2 Machine Learning Algorithm
• 7.3 Sensor Data Analysis
• 7.4 Statistical Methods
• 7.5 Other Technologies

8 Global Fault Detection and Classification Market, By Application

• 8.1 Introduction
• 8.2 Packaging
  • 8.2.1 Container
  • 8.2.2 Grading
  • 8.2.3 Label Validation
• 8.3 Manufacturing
  • 8.3.1 Fabrication Inspection
  • 8.3.2 Assembly Verification
  • 8.3.3 Flaw Detection
• 8.4 Other Applications

9 Global Fault Detection and Classification Market, By End User

• 9.1 Introduction
• 9.2 Metals & Machinery
• 9.3 Pharmaceuticals
• 9.4 Automotive
• 9.5 Electronic and Semiconductor
• 9.6 Food
• 9.7 Other End Users

10 Global Fault Detection and Classification Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 Teledyne Technologies
• 12.2 OMRON Corporation
• 12.3 Microsoft
• 12.4 Keyence Corporation
• 12.5 Applied Materials, Inc.
• 12.6 Synopsys, Inc.
• 12.7 Cognex Corporation
• 12.8 Nikon Corporation
• 12.9 KLA Corporation
• 12.10 Amazon Web Services, Inc.
• 12.11 Tokyo Electron Limited
• 12.12 Siemens
• 12.13 Datalogic
• 12.14 BeyondMinds
• 12.15 Qualitas Technologies.
• 12.16 Elunic AG
• 12.17 DNV Group AS
• 12.18 EinnoSys Technologies Inc.