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市場調查報告書

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1654717

全球預測腐蝕管理市場 - 2025 至 2032 年

Global Predictive Corrosion Management Market - 2025-2032

出版日期: 2025年02月13日 | 出版商:

DataM Intelligence | 英文 204 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球預測性腐蝕管理市場規模達到 12.4411 億美元，預計到 2032 年將達到 23.1988 億美元，在 2025-2032 年預測期內的複合年成長率為 8.1%。

全球預測性腐蝕管理市場正在經歷大幅成長，這得益於維護基礎設施完整性和盡量減少腐蝕造成的經濟損失的需求不斷成長。航太、石油天然氣和運輸等行業擴大採用預測分析來主動管理腐蝕，從而提高安全性並降低維護成本。

腐蝕監測系統中物聯網 (IoT) 設備和人工智慧 (AI) 演算法的採用正在徹底改變預測性維護策略。這些技術可實現即時資料收集和分析，可提前發現腐蝕並及時干預，減少停機時間和維護成本。各行各業越來越注重永續實踐並遵守嚴格的環境法規。

受工業化和基礎設施建設加速推動，亞太地區的預測性腐蝕管理市場正在快速成長。中國和印度等國家正大力投資基礎建設項目，對有效的腐蝕管理解決方案的需求也隨之增加。預測性腐蝕管理有助於防止因腐蝕引起的洩漏和溢出，從而減輕環境危害並確保符合監管標準。製造業和建築業採用先進技術進一步推動了該地區市場的發展。

動力學

腐蝕帶來的經濟影響日益增加

腐蝕給全球帶來了沉重的經濟負擔，影響著各個產業和基礎設施系統。僅在美國，每年因腐蝕造成的損失估計就超過 2,760 億美元，約佔該國國內生產毛額 (GDP) 的 3.1%。這一巨大的財務影響凸顯了有效腐蝕管理策略的迫切必要性。交通運輸、公用事業和基礎設施等行業尤其容易受到腐蝕，腐蝕會導致維護成本增加、營運停機，嚴重的情況下還會導致災難性的故障。

預測性腐蝕管理提供了一種主動的方法來減輕這些經濟損失。透過利用先進的監測技術和資料分析，組織可以預測腐蝕相關問題，從而及時進行維護和維修。這不僅延長了資產的使用壽命，而且還降低了與腐蝕損壞相關的整體成本。例如，在交通運輸領域，金屬結構的腐蝕對經濟（包括基礎設施和公用事業）產生嚴重影響。

腐蝕監測技術的進步

腐蝕監測領域取得了重大的技術進步，增強了預測和有效管理腐蝕的能力。感測器技術、資料分析和材料科學的創新共同促進了更準確、更可靠的預測腐蝕管理系統的開發。一個顯著的進步是將物聯網 (IoT) 設備整合到腐蝕監測框架中。支援物聯網的感測器可以持續收集有關環境條件、材料分解和結構完整性的即時資料。

行業標準和指南進一步支持了這些先進技術的採用。美國國家腐蝕工程師協會 (NACE) 等組織提供了將腐蝕管理元素整合到組織系統中的框架和最佳實踐，促進了先進監測和預測技術的使用。總之，腐蝕監測技術的進步是預測腐蝕管理領域發展的重要動力。

高能耗和環境問題

預測腐蝕管理市場面臨一些可能阻礙其成長軌跡的限制。一個重大挑戰是人工智慧和機器學習等先進技術的實施成本高。許多組織，尤其是較小的公司，可能難以為這些複雜的系統分配足夠的預算，這可能會限制市場滲透率和採用率。此外，對於預算緊張的公司來說，硬體和軟體解決方案的初始投資可能是一個障礙。

另一個限制因素是預測性維護和腐蝕管理領域的熟練勞動力短缺。複雜技術的整合需要精通資料分析和腐蝕科學的勞動力。由於公司難以找到合格的人才，他們可能會在實施有效的預測策略時遇到延遲，最終影響營運效率並增加成本。

The global predictive corrosion management market is witnessing substantial growth, propelled by the increasing need to maintain infrastructure integrity and minimize economic losses due to corrosion. Industries such as aerospace, oil and gas and transportation are increasingly adopting predictive analytics to proactively manage corrosion, thereby enhancing safety and reducing maintenance costs.

The adoption of Internet of Things (IoT) devices and Artificial Intelligence (AI) algorithms in corrosion monitoring systems is revolutionizing predictive maintenance strategies. These technologies enable real-time data collection and analysis, allowing for early detection of corrosion and timely intervention, thereby reducing downtime and maintenance costs. Industries are increasingly focusing on sustainable practices and adhering to stringent environmental regulations.

Asia-Pacific is experiencing rapid growth in the predictive corrosion management market, driven by accelerated industrialization and infrastructure development. Countries such as China and India are investing heavily in infrastructure projects, leading to a heightened demand for effective corrosion management solutions. Predictive corrosion management aids in preventing leaks and spills caused by corrosion, thereby mitigating environmental hazards and ensuring compliance with regulatory standards. The adoption of advanced technologies in manufacturing and construction sectors further propels the market in this region.

Dynamics

Increasing Economic Impact of Corrosion

Corrosion poses a significant economic burden globally, affecting various industries and infrastructure systems. In US alone, the annual cost of corrosion is estimated to be over US$ 276 billion, accounting for approximately 3.1% of the nation's Gross Domestic Product (GDP). This substantial financial impact underscores the critical need for effective corrosion management strategies. Industries such as transportation, utilities and infrastructure are particularly vulnerable, with corrosion leading to increased maintenance costs, operational downtime and, in severe cases, catastrophic failures.

Predictive corrosion management offers a proactive approach to mitigate these economic losses. By utilizing advanced monitoring technologies and data analytics organizations can anticipate corrosion-related issues before they escalate, allowing for timely maintenance and repairs. This not only extends the lifespan of assets but also reduces the overall cost associated with corrosion damage. For instance, in the transportation sector, corrosion of metallic structures significantly impacts the economy, including infrastructure and utilities.

Advancements in Corrosion Monitoring Technologies

The field of corrosion monitoring has witnessed significant technological advancements, enhancing the ability to predict and manage corrosion effectively. Innovations in sensor technology, data analytics and materials science have collectively contributed to the development of more accurate and reliable predictive corrosion management systems. One notable advancement is the integration of Internet of Things (IoT) devices into corrosion monitoring frameworks. IoT-enabled sensors can continuously collect real-time data on environmental conditions, material degradation and structural integrity.

The adoption of these advanced technologies is further supported by industry standards and guidelines. Organizations such as the National Association of Corrosion Engineers (NACE) provide frameworks and best practices for integrating corrosion management elements into organizational systems, promoting the use of advanced monitoring and predictive techniques. In summary, advancements in corrosion monitoring technologies are a significant driver for the predictive corrosion management sector.

High Energy Consumption and Environmental Concerns

The Predictive Corrosion Management Market faces several restraints that could hinder its growth trajectory. One significant challenge is the high cost of implementation associated with advanced technologies such as artificial intelligence and machine learning. Many organizations, particularly smaller firms, may find it difficult to allocate sufficient budgets for these sophisticated systems, which can limit market penetration and adoption rates. Additionally, the initial investment in hardware and software solutions can be a barrier for companies operating on tight budgets.

Another restraint is the shortage of skilled labor in the field of predictive maintenance and corrosion management. The integration of complex technologies requires a workforce that is well-versed in data analytics and corrosion science. As companies struggle to find qualified personnel, they may experience delays in implementing effective predictive strategies, ultimately impacting operational efficiency and increasing costs.

Segment Analysis

The global predictive corrosion management market is segmented based on technology, deployment mode, application, end-user and region.

Critical Need to ensure the Safety, Reliability and Longevity of Aircraft Structures

Aircraft are exposed to various environmental factors that contribute to corrosion, including humidity, temperature fluctuations and exposure to saltwater in coastal regions. The use of lightweight materials, such as aluminum alloys, while beneficial for performance, also increases susceptibility to corrosion. The aerospace industry in North America, led by companies like Boeing and Lockheed Martin, is heavily investing in predictive corrosion monitoring to enhance aircraft longevity and safety.

The FAA's Aircraft Maintenance Manual specifies rigorous corrosion inspections and maintenance requirements. Predictive corrosion management helps reduce aircraft maintenance costs by 15-20%, as reported by the U.S. Department of Defense (DoD). The National Aeronautics and Space Administration (NASA) has been at the forefront of developing corrosion control strategies for aerospace applications. NASA's Corrosion Technology Laboratory focuses on understanding corrosion mechanisms and developing predictive models to enhance the durability of aerospace materials.

In commercial aviation, airlines are adopting predictive maintenance programs that incorporate corrosion monitoring to optimize maintenance schedules and reduce operational disruptions. For example, Delta Air Lines has implemented an advanced predictive maintenance system that monitors various aircraft systems, including structural components susceptible to corrosion. This system analyzes data from sensors and maintenance records to predict potential issues, allowing for proactive maintenance and reducing unscheduled downtime.

Geographical Penetration

Advanced Industrial Infrastructure of North America Drives the demand of Predictive Corrosion

North America dominates the predictive corrosion management market due to its advanced industrial infrastructure, high adoption of predictive maintenance technologies and stringent regulatory frameworks. The region is home to key industries such as aerospace, oil and gas and automotive, all of which are highly vulnerable to corrosion-related issues. According to the National Association of Corrosion Engineers (NACE), the annual cost of corrosion in the U.S. alone exceeds US$ 276 billion, representing 3.1% of the country's GDP. This substantial economic burden drives the widespread adoption of predictive corrosion management solutions.

Furthermore, North America is at the forefront of technological innovations in predictive maintenance. The integration of Artificial Intelligence (AI), Machine Learning (ML) and Internet of Things (IoT) into corrosion management systems allows industries to detect early signs of material degradation and take preventive actions. According to the National Institute of Standards and Technology (NIST), AI-powered predictive maintenance can reduce unexpected equipment failures by up to 75%, translating to billions of dollars in cost savings annually.

Competitive Landscape

The major global players in the market include Baker Hughes, WebCorr Corrosion Consulting Services, Microsoft, Honeywell International Inc., SMARTCORR, Cosasco, Alabama Specialty Products, SGS SA, ICORR Technologies and Permasense Emerson.

Sustainable Analysis

Predictive corrosion management plays a crucial role in promoting sustainability by reducing material waste, minimizing hazardous emissions and extending asset lifespans. Corrosion leads to premature degradation of infrastructure, resulting in massive amounts of metal waste. According to the U.S. Environmental Protection Agency (EPA), approximately 60 million tons of metal waste is generated annually due to corroded infrastructure. Predictive corrosion management extends the lifespan of industrial assets, reducing the need for frequent replacements and minimizing material consumption.

Traditional corrosion management practices involve frequent repairs, replacements and production of new materials, all of which contribute to increased carbon emissions. The World Resources Institute (WRI) highlights that steel production (a key material affected by corrosion) accounts for 7-9% of global CO2 emissions. By proactively preventing corrosion, industries can reduce the demand for new steel production, thereby lowering their carbon footprint.

Impact of Artificial Intelligence (AI) and Internet of Things (IoT)

Artificial Intelligence (AI) and the Internet of Things (IoT) are revolutionizing corrosion management by enabling real-time monitoring and predictive analytics. In Schleswig-Holstein, Germany, the CHAI research project is leveraging AI and IoT to enhance corrosion detection in ports and waterways. With a US$ 81378638.98 investment from the federal state and leadership from the Helmholtz Center Hereon, the project integrates sensor technology and machine learning algorithms to monitor environmental conditions such as temperature, water composition and solar radiation. This data allows AI to analyze and predict corrosion patterns more accurately, reducing the reliance on costly manual inspections and enabling proactive maintenance strategies.

By training AI models on collected sensor data, researchers predict the severity and speed of corrosion under various conditions, optimizing preventative measures for maritime infrastructure. The involvement of Christian Albrechts Universitat zu Kiel (CAU), the Port of Kiel and AC Korro-Service GmbH ensures that this technology transition benefits both scientific research and industrial applications. As the AI continues to learn from expanding datasets, its predictions will become increasingly precise, allowing organizations like the Port of Kiel to implement automated maintenance strategies.

Key Developments

In July 2024, Cambridge, UK-based Corrosion RADAR, a provider of predictive Corrosion Under Insulation (CUI) monitoring solutions, announced that it has secured a US$ 6.13 investment. This funding will support the company's efforts in advancing its innovative CUI monitoring technology, which helps industries detect and prevent corrosion-related failures.
In June 2024, Aramco, a global leader in integrated energy and chemicals, announced the deployment of Corrosion RADAR's advanced Corrosion Under Insulation (CUI) monitoring solution at the Ju'aymah NGL Fractionation Plant. This strategic installation at key locations within the plant aims to enhance safety, reliability and operational efficiency.
In May 2024, OLI Systems introduced its MSE (Mixed Solvent Electrolyte) corrosion model, marking a significant advancement in corrosion prediction technology. This model, developed through extensive research and validation, is the first of its kind designed to predict corrosion across a broader range of process compositions, effectively eliminating the traditional water-dependency barrier.

By Technology

Electrochemical Techniques
Coating Technologies
Corrosion Inhibitors
Monitoring Systems
Others

By Deployment Mode

On-Premises
Cloud-Based
Hybrid

By Application

Manufacturers
Service Providers
Government Agencies
Research & Development
Others

By End-User

Aerospace
Automotive
Oil and Gas
Marine
Construction
Power Generation
Others

By Region

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Why Purchase the Report?

To visualize the global predictive corrosion management market segmentation based on technology, deployment mode, application, end-user and region.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points at the predictive corrosion management market level for all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global predictive corrosion management market report would provide approximately 70 tables, 70 figures and 204 pages.

Target Audience 2024

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Technology
3.2. Snippet by Deployment Mode
3.3. Snippet by Application
3.4. Snippet by End-User
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Increasing Economic Impact of Corrosion
  - 4.1.1.2. Advancements in Corrosion Monitoring Technologies
- 4.1.2. Restraints
  - 4.1.2.1. High Energy Consumption and Environmental Concerns
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Sustainable Analysis
5.6. DMI Opinion

6. By Technology

6.1. Introduction
- 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 6.1.2. Market Attractiveness Index, By Technology
6.2. Electrochemical Techniques*
- 6.2.1. Introduction
- 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. Coating Technologies
6.4. Corrosion Inhibitors
6.5. Monitoring Systems
6.6. Others

7. By Deployment Mode

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 7.1.2. Market Attractiveness Index, By Deployment Mode
7.2. On-Premises*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Cloud-Based
7.4. Hybrid

8. By Application

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 8.1.2. Market Attractiveness Index, By Application
8.2. Manufacturers*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Service Providers
8.4. Government Agencies
8.5. Research & Development
8.6. Others

9. By End-User

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.1.2. Market Attractiveness Index, By End-User
9.2. Aerospace*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Automotive
9.4. Oil and Gas
9.5. Marine
9.6. Construction
9.7. Power Generation
9.8. Others

10. Sustainability Analysis

10.1. Environmental Analysis
10.2. Economic Analysis
10.3. Governance Analysis

11. By Region

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 11.1.2. Market Attractiveness Index, By Region
11.2. North America
- 11.2.1. Introduction
- 11.2.2. Key Region-Specific Dynamics
- 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.2.7.1. US
  - 11.2.7.2. Canada
  - 11.2.7.3. Mexico
11.3. Europe
- 11.3.1. Introduction
- 11.3.2. Key Region-Specific Dynamics
- 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Center Type
- 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.3.7.1. Germany
  - 11.3.7.2. UK
  - 11.3.7.3. France
  - 11.3.7.4. Italy
  - 11.3.7.5. Spain
  - 11.3.7.6. Rest of Europe
11.4. South America
- 11.4.1. Introduction
- 11.4.2. Key Region-Specific Dynamics
- 11.4.3. Key Region-Specific Dynamics
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.4.8.1. Brazil
  - 11.4.8.2. Argentina
  - 11.4.8.3. Rest of South America
11.5. Asia-Pacific
- 11.5.1. Introduction
- 11.5.2. Key Region-Specific Dynamics
- 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.5.7.1. China
  - 11.5.7.2. India
  - 11.5.7.3. Japan
  - 11.5.7.4. Australia
  - 11.5.7.5. Rest of Asia-Pacific
11.6. Middle East and Africa
- 11.6.1. Introduction
- 11.6.2. Key Region-Specific Dynamics
- 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. Company Profiles

13.1. Baker Hughes*
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. WebCorr Corrosion Consulting Services
13.3. Microsoft
13.4. Honeywell International Inc.
13.5. SMARTCORR
13.6. Cosasco
13.7. Alabama Specialty Products
13.8. SGS SA
13.9. ICORR Technologies
13.10. Permasense Emerson

LIST NOT EXHAUSTIVE