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市场调查报告书
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1476372

到 2030 年 FDC（异常检测和分类）市场预测：按异常类型、组件、技术、应用、最终用户和地区进行的全球分析

Fault Detection and Classification Market Forecasts to 2030 - Global Analysis By Fault Type, Component, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 预测，2023 年全球 FDC（异常检测和分类）市场规模将达到 48 亿美元，预计预测期内复合年增长率为 10.9%，到 2030 年将达到 100 亿美元。

FDC（异常检测和分类）是工程、製造和资料分析等各个领域使用的技术和方法的集合，用于识别和分类系统和流程中的异常和故障。主要目标是持续监控系统，检测与正常运作的偏差，并根据其特征将这些偏差分为不同的故障类别。

工业流程日益复杂

机器学习、人工智慧和巨量资料分析等先进技术正在集成，以提高故障识别的准确性和速度。这一市场趋势反映了向预测性维护和主动风险管理的转变，使行业能够最大限度地减少停机时间、提高业务效率、确保产品质量，并最终推动FDC（异常检测和分类）领域的成长。因此，市场正在见证工业流程复杂性的爆炸性成长。

资料隐私和安全问题

FDC 系统容易受到骇客、恶意软体和资料操纵等网路安全威胁。利用软体和网路基础设施中的漏洞可能会损害资料的完整性和机密性。这些系统通常处理与工业流程、设备性能和营运指标相关的敏感资料。确保此类资料的安全处理、储存和传输对于防止未授权存取和资料外洩至关重要。因此，这些都是限制市场成长的因素。

感测器技术的进步

感测器技术在这个市场上正在取得长足的进展。这包括整合人工智慧演算法进行即时资料分析，使用小波变换等先进的讯号处理技术，以及开发具有更高灵敏度和准确性的智慧感测器。此外，多感测器融合系统的趋势是结合不同来源的资料，以实现更全面的 FDC（异常检测和分类）功能。

缺乏熟练的专业人员

由于缺乏熟练的专业人员，市场正面临重大挑战。这一缺陷阻碍了这些系统在整个产业的有效实施和利用。故障检测的资料分析和解释需要复杂的专业知识，而目前市场上缺乏这种专业知识。因此，公司在优化业务和维持高可靠性和生产力方面面临障碍。

COVID-19 的影响：

COVID-19 大流行对 FDC（异常检测和分类）市场产生了重大影响。随着行业面临中断和营运减少，对解决方案的需求发生波动。最初，由于预算限制和计划延误而放慢了速度。然而，随着各行业适应远端操作，人工智慧主导系统的采用激增，以确保业务连续性和效率。这种转变加速了技术创新，并导致了更强大、更具适应性的解决方案的发展。

预计表面缺陷部分在预测期内将是最大的

预计表面缺陷部分在预测期内将是最大的。这些缺陷，从刮痕、凹痕到裂缝和变色，都是潜在产品缺陷和品质问题的指标。缺陷检测和分类系统市场对电脑视觉和机器学习演算法等先进技术的需求不断增加，这些技术可以准确识别和分类表面缺陷，从而提高产品品质和业务效率。

统计方法领域预计在预测期内复合年增长率最高

由于各行业越来越多地采用先进分析工具，预计统计方法领域在预测期内将出现最高的复合年增长率。这些技术提供了一种有效的方法来检测和分类复杂系统中的故障，确保及时介入和维护。机器学习和资料分析的进步使统计技术更加复杂，提高了 FDC（异常检测和分类）过程的准确性和可靠性。

比最大的地区

由于自动化技术的进步和对高效工业流程的需求不断增加，预计北美在预测期内将占据最大的市场占有率。主要参与者正在专注于开发复杂的演算法和人工智慧驱动的解决方案，以提高故障检测准确性并减少停机时间。製造业、能源和汽车等行业是该系统的主要采用者，进一步推动了市场扩张。

复合年增长率最高的地区：

由于工业化程度提高、技术进步以及对高效製造製程的需求等多种因素，预计亚太地区在预测期内将维持最高的复合年增长率。市场受益于感测器技术、资料分析演算法和机器学习能力的进步。这些进步使系统更加稳健、准确，并且能够适应广泛的製造流程。

免费客製化服务：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球 FDC（异常检测和分类）市场：按异常类型

  • 污染缺陷
  • 过程可变性
  • 尺寸错误
  • 表面缺陷
  • 其他异常类型

第六章全球 FDC（异常检测和分类）市场：按组成部分

  • 硬体
    • 通讯介面
    • 致动器
    • 感应器
    • 检测器
    • 控制器单元
  • 软体
  • 服务

第七章全球 FDC（异常检测和分类）市场：按技术分类

  • 机器学习演算法
  • 感测器资料分析
  • 统计方法
  • 其他技术

第八章全球 FDC（异常检测和分类）市场：按应用分类

  • 包裹
    • 容器
    • 等级
    • 标籤检验
  • 製造业
    • 製造检验
    • 组装检验
    • 缺陷检测
  • 其他用途

第 9 章 全球 FDC（异常检测和分类）市场：按最终用户分类

  • 金属/机器
  • 药品
  • 车
  • 电子/半导体
  • 食品
  • 其他最终用户

第10章全球FDC（异常检测和分类）市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • 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
  • EinnoSys Technologies Inc.
Product Code: SMRC25918

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.

List of Tables

  • Table 1 Global Fault Detection and Classification Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Fault Detection and Classification Market Outlook, By Fault Type (2021-2030) ($MN)
  • Table 3 Global Fault Detection and Classification Market Outlook, By Contamination Faults (2021-2030) ($MN)
  • Table 4 Global Fault Detection and Classification Market Outlook, By Process Variability (2021-2030) ($MN)
  • Table 5 Global Fault Detection and Classification Market Outlook, By Dimensional Fault (2021-2030) ($MN)
  • Table 6 Global Fault Detection and Classification Market Outlook, By Surface Defects (2021-2030) ($MN)
  • Table 7 Global Fault Detection and Classification Market Outlook, By Other Fault Types (2021-2030) ($MN)
  • Table 8 Global Fault Detection and Classification Market Outlook, By Component (2021-2030) ($MN)
  • Table 9 Global Fault Detection and Classification Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 10 Global Fault Detection and Classification Market Outlook, By Communication Interfaces (2021-2030) ($MN)
  • Table 11 Global Fault Detection and Classification Market Outlook, By Actuators (2021-2030) ($MN)
  • Table 12 Global Fault Detection and Classification Market Outlook, By Sensors (2021-2030) ($MN)
  • Table 13 Global Fault Detection and Classification Market Outlook, By Detectors (2021-2030) ($MN)
  • Table 14 Global Fault Detection and Classification Market Outlook, By Control Units (2021-2030) ($MN)
  • Table 15 Global Fault Detection and Classification Market Outlook, By Software (2021-2030) ($MN)
  • Table 16 Global Fault Detection and Classification Market Outlook, By Services (2021-2030) ($MN)
  • Table 17 Global Fault Detection and Classification Market Outlook, By Technology (2021-2030) ($MN)
  • Table 18 Global Fault Detection and Classification Market Outlook, By Machine Learning Algorithm (2021-2030) ($MN)
  • Table 19 Global Fault Detection and Classification Market Outlook, By Sensor Data Analysis (2021-2030) ($MN)
  • Table 20 Global Fault Detection and Classification Market Outlook, By Statistical Methods (2021-2030) ($MN)
  • Table 21 Global Fault Detection and Classification Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 22 Global Fault Detection and Classification Market Outlook, By Application (2021-2030) ($MN)
  • Table 23 Global Fault Detection and Classification Market Outlook, By Packaging (2021-2030) ($MN)
  • Table 24 Global Fault Detection and Classification Market Outlook, By Container (2021-2030) ($MN)
  • Table 25 Global Fault Detection and Classification Market Outlook, By Grading (2021-2030) ($MN)
  • Table 26 Global Fault Detection and Classification Market Outlook, By Label Validation (2021-2030) ($MN)
  • Table 27 Global Fault Detection and Classification Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 28 Global Fault Detection and Classification Market Outlook, By Fabrication Inspection (2021-2030) ($MN)
  • Table 29 Global Fault Detection and Classification Market Outlook, By Assembly Verification (2021-2030) ($MN)
  • Table 30 Global Fault Detection and Classification Market Outlook, By Flaw Detection (2021-2030) ($MN)
  • Table 31 Global Fault Detection and Classification Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 32 Global Fault Detection and Classification Market Outlook, By End User (2021-2030) ($MN)
  • Table 33 Global Fault Detection and Classification Market Outlook, By Metals & Machinery (2021-2030) ($MN)
  • Table 34 Global Fault Detection and Classification Market Outlook, By Pharmaceuticals (2021-2030) ($MN)
  • Table 35 Global Fault Detection and Classification Market Outlook, By Automotive (2021-2030) ($MN)
  • Table 36 Global Fault Detection and Classification Market Outlook, By Electronic and Semiconductor (2021-2030) ($MN)
  • Table 37 Global Fault Detection and Classification Market Outlook, By Food (2021-2030) ($MN)
  • Table 38 Global Fault Detection and Classification Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.