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1476372

到 2030 年 FDC（異常檢測和分類）市場預測：按異常類型、組件、技術、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 預測，2023 年全球 FDC（異常檢測和分類）市場規模將達到 48 億美元，預計預測期內複合年成長率為 10.9%，到 2030 年將達到 100 億美元。

FDC（異常檢測和分類）是工程、製造和資料分析等各個領域使用的技術和方法的集合，用於識別和分類系統和流程中的異常和故障。主要目標是持續監控系統，檢測與正常運作的偏差，並根據其特徵將這些偏差分為不同的故障類別。

工業流程日益複雜

機器學習、人工智慧和巨量資料分析等先進技術正在整合，以提高故障識別的準確性和速度。這一市場趨勢反映了向預測性維護和主動風險管理的轉變，使行業能夠最大限度地減少停機時間、提高業務效率、確保產品質量，並最終推動FDC（異常檢測和分類）領域的成長。因此，市場正在見證工業流程複雜性的爆炸性成長。

資料隱私和安全問題

FDC 系統容易受到駭客、惡意軟體和資料操縱等網路安全威脅。利用軟體和網路基礎設施中的漏洞可能會損害資料的完整性和機密性。這些系統通常處理與工業流程、設備性能和營運指標相關的敏感資料。確保此類資料的安全處理、儲存和傳輸對於防止未授權存取和資料外洩至關重要。因此，這些都是限制市場成長的因素。

感測器技術的進步

感測器技術在這個市場上正在取得長足的進展。這包括整合人工智慧演算法進行即時資料分析，使用小波變換等先進的訊號處理技術，以及開發具有更高靈敏度和準確性的智慧感測器。此外，多感測器融合系統的趨勢是結合不同來源的資料，以實現更全面的 FDC（異常檢測和分類）功能。

缺乏熟練的專業人員

由於缺乏熟練的專業人員，市場正面臨重大挑戰。這一缺陷阻礙了這些系統在整個產業的有效實施和利用。故障檢測的資料分析和解釋需要複雜的專業知識，而目前市場上缺乏這種專業知識。因此，公司在最佳化業務和維持高可靠性和生產力方面面臨障礙。

COVID-19 的影響：

COVID-19 大流行對 FDC（異常檢測和分類）市場產生了重大影響。隨著行業面臨中斷和營運減少，對解決方案的需求發生波動。最初，由於預算限制和計劃延誤而放慢了速度。然而，隨著各行業適應遠端操作，人工智慧主導系統的採用激增，以確保業務連續性和效率。這種轉變加速了技術創新，並導致了更強大、更具適應性的解決方案的發展。

預計表面缺陷部分在預測期內將是最大的

預計表面缺陷部分在預測期內將是最大的。這些缺陷，從刮痕、凹痕到裂縫和變色，都是潛在產品缺陷和品質問題的指標。缺陷檢測和分類系統市場對電腦視覺和機器學習演算法等先進技術的需求不斷增加，這些技術可以準確識別和分類表面缺陷，從而提高產品品質和業務效率。

統計方法領域預計在預測期內複合年成長率最高

由於各行業擴大採用先進分析工具，預計統計方法領域在預測期內將出現最高的複合年成長率。這些技術提供了一種有效的方法來檢測和分類複雜系統中的故障，確保及時介入和維護。機器學習和資料分析的進步使統計技術更加複雜，提高了 FDC（異常檢測和分類）過程的準確性和可靠性。

比最大的地區

由於自動化技術的進步和對高效工業流程的需求不斷增加，預計北美在預測期內將佔據最大的市場佔有率。主要參與者正在專注於開發複雜的演算法和人工智慧驅動的解決方案，以提高故障檢測準確性並減少停機時間。製造業、能源和汽車等行業是該系統的主要採用者，進一步推動了市場擴張。

複合年成長率最高的地區：

由於工業化程度提高、技術進步以及對高效製造製程的需求等多種因素，預計亞太地區在預測期內將維持最高的複合年成長率。市場受益於感測器技術、資料分析演算法和機器學習能力的進步。這些進步使系統更加穩健、準確，並且能夠適應廣泛的製造流程。

免費客製化服務：

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    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球 FDC（異常檢測和分類）市場：按異常類型

  • 污染缺陷
  • 過程可變性
  • 尺寸錯誤
  • 表面缺陷
  • 其他異常類型

第6章全球 FDC（異常檢測和分類）市場：按組成部分

  • 硬體
    • 通訊介面
    • 致動器
    • 感應器
    • 檢測器
    • 控制器單元
  • 軟體
  • 服務

第7章全球 FDC（異常檢測和分類）市場：按技術分類

  • 機器學習演算法
  • 感測器資料分析
  • 統計方法
  • 其他技術

第8章全球 FDC（異常檢測和分類）市場：按應用分類

  • 包裹
    • 容器
    • 等級
    • 標籤檢驗
  • 製造業
    • 製造檢驗
    • 組裝檢驗
    • 缺陷檢測
  • 其他用途

第 9 章全球FDC（異常檢測和分類）市場：按最終用戶分類

  • 金屬/機器
  • 藥品
  • 車
  • 電子/半導體
  • 食品
  • 其他最終用戶

第10章全球FDC（異常檢測和分類）市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • 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.